JP5034810B2 - Vehicle design support system - Google Patents

Description

  The present invention belongs to a technical field related to a vehicle design support system for determining design data around a vehicle door.

  2. Description of the Related Art Conventionally, in order to reduce the burden on a passenger in getting on and off the vehicle, the passenger is replaced with an articulated model, and the passenger's getting on and off operation is simulated by the articulated model. A design support system for determining design specification data around the head is known.

For example, the design support system shown in Patent Document 1 evaluates the feeling of burden when the passenger gets on and off the vehicle by evaluating the total value of the time integral values of the joint torques from the start to the end of the getting on and off operation. The vehicle design specification data is determined so as to minimize the evaluated value.
JP 2006-323518 A

  However, in the above-described design support system, the occupant's feeling of burden at the time of getting on and off is evaluated based on the time integral value of the joint torque from the start to the end of the getting on and off operation. When the design specification values determined in the above are adopted, the occupant's sense of burden during getting on and off can be minimized in terms of time average, but in a specific operating phase (stage) during getting on and off, There is a problem that the feeling of burden received exceeds the allowable level, and as a result, the feeling of burden that the occupant feels when getting on and off is increased.

  The present invention has been made in view of such a point, and an object of the present invention is to design a vehicle design that determines design specification data around a vehicle door portion by simulating a boarding / alighting operation of a vehicle occupant. Let's make it possible to determine design specification data that can reliably reduce the feeling of burden when getting on and off the occupant by devising the evaluation system of the burden feeling when getting on and off the occupant for the support system It is to do.

  In order to achieve the above object, in the present invention, the motion trajectory is calculated by simulating the passenger's getting-on / off motion of a vehicle using a human body model, and the motion trajectory is composed of a plurality of predetermined motion phases. The magnitude of the burden feeling for each operation phase at the time of getting on and off the occupant is calculated, and the magnitude of the burden feeling for each operation phase is less than the set threshold degree set for each operation phase. The design specification data was determined so that

  Specifically, the invention according to claim 1 is directed to a vehicle design support system that determines a design specification value around a vehicle door portion by evaluating a feeling of burden at the time of getting on and off of a vehicle occupant by simulation. To do.

And human body characteristic data storage means for storing human body characteristic data related to the human body model simulating the occupant, design specification data storage means for storing temporary design specification data around the vehicle door portion, and the human body characteristics Based on the human body characteristic data stored by the data storage means and the temporary design specification data stored by the design specification data storage means, a virtual having a design specification value corresponding to the temporary design specification data A boarding / trailing operation trajectory calculating means for calculating the movement trajectory by simulating the passenger's boarding / alighting operation with respect to the vehicle by the human body model, and the boarding / alighting operation of the occupant with respect to the virtual vehicle are composed of a plurality of operation phases. Quantify the sense of burden for each motion phase during motion based on the motion trajectory calculated by the above-mentioned getting-on / off motion trajectory calculation means The sense of burden calculation means calculated by the above and the sense of burden for each operation phase calculated by the sense of burden calculation means all satisfy a target condition that is equal to or less than a set threshold value set for each operation phase. Design specification data optimization means for determining design specification data, and output means for outputting design specification data determined by the design specification data optimization means, the design specification data optimization means The operational phase in which the magnitude of the sense of burden calculated by the sense of burden calculation means exceeds the set threshold value is extracted from the plurality of operational phases, and a plurality of design specification items related to the extracted operational phase are extracted. After the extraction, the design specification items to be changed are selected in order according to a predetermined priority order from the plurality of extracted design specification items. The design specification data is updated by changing the data value corresponding to the selected design specification item in the temporary design specification data stored by the total specification data storage means within a predetermined range with a predetermined step size. However, it is assumed that the design specification data satisfying the target condition is searched and determined .

  With the above configuration, when determining the design specification data around the vehicle door portion, the human body characteristic data of the occupant's human body model stored by the human body property data storage means and the design specification data storage means are stored. On the basis of the provisional design specification data around the door portion, the boarding / exiting operation trajectory calculation means allows the passenger to get on and off the virtual vehicle having the design specification value corresponding to the design specification data by the human body model. The movement trajectory is calculated by simulation, and further, the burden feeling calculation means assumes that the passenger's boarding / exiting operation is composed of a plurality of predetermined operation phases, and the feeling of burden for each operation phase during the passenger's boarding / exiting operation is large. Is calculated numerically.

  Then, by the design specification data optimizing means, a target in which the magnitude of the burden feeling for each operation phase of the occupant calculated by the burden ratio calculation means is not more than a set threshold value set for each operation phase. Design specification data that satisfies the conditions is determined, and the design specification data determined by the design specification data optimization means is output by the output means.

  In this way, it is possible to obtain design specification data in which the magnitude of the burden feeling for each operation phase during the occupant's getting-on / off operation is less than or equal to the set threshold value. Therefore, by determining the design specification values around the vehicle door based on the design specification data and performing the design, it is possible to reliably reduce the feeling of burden when the passenger gets on and off the vehicle. Become.

Here, the calculation of the sense of burden by the burden feeling calculation means is performed based on the motion trajectory calculated by the getting on / off motion trajectory calculation means. In this way, for example, by calculating the torque around each joint of the occupant based on the occupant's boarding / exiting motion trajectory simulated by the boarding / exiting motion trajectory calculation means, the magnitude of the sense of burden (physical burden) can be reduced. It is possible to calculate (estimate) or estimate (estimate) the size of the occupant's sense of burden (mental burden) based on the estimator by estimating what is ahead of the occupant's line of sight . Therefore, the burden feeling calculation means can accurately estimate the burden feeling during the passenger's getting on and off operation, and the design specification data optimization means can reliably reduce the burden feeling during the passenger's getting on and off operation. Possible design specification data can be determined .

Furthermore, when determining the design specification data around the vehicle door, the design specification data optimizing means calculates the sense of burden calculated by the sense of burden calculation means among the plurality of operation phases. The operation phase whose length exceeds the set threshold is extracted, a plurality of design specification items related to the extracted operation phase are extracted, and the value is selected from the extracted plurality of design specification items. The design specifications to be changed are selected in order according to a predetermined priority. Here, every time a design specification item is selected by the design specification data optimization means, it corresponds to the selected design specification item in the design specification data stored by the design specification data storage means. The design specification data is updated by changing the data value within a predetermined range with a predetermined step size, and design specification data (hereinafter referred to as optimum design specification data) that satisfies the above target conditions is searched and determined. The

  As described above, the design specification data optimizing means selects the design specification item according to a predetermined priority order, and changes the data value corresponding to the selected design specification item with priority, while changing the optimal design specification item. By searching the original data, it is possible to search for the optimum design specification data without changing the data value corresponding to the design specification item having a low priority as much as possible.

  Therefore, for example, by setting the priority order set for each design specification item in the order in which each design specification item has less influence on the appearance, the design specification data having a low priority order in the design specification data is set. The optimum design specification data can be searched by the design specification data optimizing means without changing the data value corresponding to the original item, that is, the data value corresponding to the design specification having a great influence on the appearance as much as possible. Therefore, by setting this priority according to the design concept (concept such as emphasis on appearance and aerodynamic performance) that the user places importance on when designing around the door, the design concept required by the user is satisfied. The optimum design specification data can be searched and determined by the design specification data optimization means.

In the invention of claim 2, directed to a vehicle design support system for determining the design specification values near the door section for the vehicle by evaluating by simulation burden upon occupant getting on and off operation of the vehicle.

And human body characteristic data storage means for storing human body characteristic data related to the human body model simulating the occupant,
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data A boarding / trailing operation trajectory calculating means for calculating an operating trajectory by simulating an occupant's boarding / alighting operation with respect to a virtual vehicle having the above-mentioned human body model; and A sense of burden calculation means for calculating the magnitude of the sense of burden for each operation phase at the time of getting on and off of the occupant based on the motion trajectory calculated by the above-mentioned boarding / trait motion trajectory calculating means, and the burden feeling calculating means All the calculated feelings of burden for each operation phase satisfy the target condition that is not more than the set threshold value set for each operation phase. Design and design specification data optimization means for determining the specification data, and output means for outputting the design specifications data determined by the design specification data optimization means, burden when the occupant getting on and off operation Is composed of a sense of physical burden and a sense of mental burden.The degree of influence that changes in the values of each design specification item around the vehicle door part have on the sense of mental burden during passengers' getting on and off. Mental burden calculation data storage means for storing mental burden calculation data quantified for each motion phase is further provided, wherein the burden feeling calculation means includes the motion trajectory calculated by the getting on / off motion trajectory calculation means and the design. Physical burden feeling for calculating the physical burden feeling for each motion phase during the occupant's getting-on / off operation with respect to the virtual vehicle based on provisional design feature data stored by the specification data storage means The occupant for the virtual vehicle based on the output means, the mental burden calculation data stored in the mental burden calculation data storage means, and the temporary design specification data stored in the design specification data storage means A mental burden calculation means for calculating and calculating the mental burden for each movement phase during a boarding / exiting movement, and the physical body for each movement phase calculated by the physical burden calculation means The sense of burden for each operation phase when the occupant gets on and off the virtual vehicle based on the size of the sense of burden and the size of the mental burden for each operation phase calculated by the mental burden calculation means It is assumed that the size of the signal is calculated by quantification.

  According to this configuration, the sense of burden calculation means is a physical burden calculation means for calculating the magnitude of the sense of physical burden for each operation phase at the time of getting on and off the occupant with respect to the virtual vehicle. And a mental burden calculation means for calculating the magnitude of the mental burden by quantifying and determining design specification data around the vehicle door by the vehicle design support system of the present invention. The sense of burden calculation means includes the magnitude of the physical burden feeling for each motion phase calculated by the physical burden calculation means and the mental feeling for each motion phase calculated by the mental burden feeling calculation means. Based on the magnitude of the feeling of burden, the feeling of burden for each operation phase at the time of the passenger's getting on and off operation is digitized and calculated.

  Therefore, the burden feeling calculation means can calculate the magnitude of the burden feeling in consideration of both the physical burden feeling and the mental burden feeling when the passenger gets on and off, and the burden that the passenger actually takes It is possible to accurately estimate the size of the feeling. As a result, the design specification data optimizing means can determine the optimum design specification data taking into consideration both physical and mental burdens.

  Here, the physical burden calculation means calculates the magnitude of the physical burden for each operation phase during the passenger's boarding / alighting operation based on the movement locus calculated by the boarding / alighting movement locus calculation means. Thus, based on the occupant's boarding / exiting motion trajectory simulated by the boarding / exiting motion trajectory calculating means, for example, as described above, the torque around each joint of the occupant, the force applied to each joint, etc. By calculating, it becomes possible to accurately estimate the magnitude of the physical burden when the occupant gets on and off.

  Further, the mental burden calculation means is based on the mental burden calculation data stored by the mental burden calculation data storage means and the design specification data stored by the design specification data storage means. The magnitude of the mental burden for each operation phase when the passenger gets in and out of the vehicle is calculated. The mental load calculation data stored in the mental load calculation data storage means is the vehicle door. It is assumed that the degree of influence that the change in the value of each design specification around the section has on the mental burden at the time of getting on and off the passenger is quantified for each operation phase. In this way, when calculating the magnitude of the mental burden for each operation phase by the mental burden calculation means, the mental load calculation data digitized for each operation phase is used. By doing so, it becomes possible to quantitatively evaluate and calculate the magnitude of the mental burden for each operation phase with a simple calculation.

In the invention of claim 3, directed to a vehicle design support system for determining the design specification values near the door section for the vehicle by evaluating by simulation burden upon occupant getting on and off operation of the vehicle.

Human body characteristic data storage means for storing human body characteristic data relating to a human body model simulating the occupant;
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data A boarding / trailing operation trajectory calculating means for calculating an operating trajectory by simulating an occupant's boarding / alighting operation with respect to a virtual vehicle having the above-mentioned human body model; and A sense of burden calculation means for calculating the magnitude of the sense of burden for each operation phase at the time of getting on and off of the occupant based on the motion trajectory calculated by the above-mentioned boarding / trait motion trajectory calculating means, and the burden feeling calculating means All the calculated feelings of burden for each operation phase satisfy the target condition that is not more than the set threshold value set for each operation phase. The design specification data optimization means for determining the design specification data, and output means for outputting the design specifications data determined by the design specification data optimization means, said plurality of operation phases, the passenger The inner foot putting phase for putting the inner foot into the vehicle, the seating phase for sitting on the seat, the outer foot putting phase for putting the outer feet remaining outside the vehicle into the vehicle, and the outer foot from the seated state are taken out of the vehicle It is assumed that there are six operation phases including an outer footing phase, a standing phase that rises from the seat, and an inner footing phase in which the inner foot remaining in the vehicle is brought out of the vehicle.

  This ensures separation of the sitting and standing phases, where the occupant feels relatively burdened, and the internal footing phase, the external footing phase, the external footing phase, and the internal footing phase, where the sense of burden is relatively low. be able to. Therefore, the design specification data optimization means ensures optimal design specification data that makes the occupant feel less than the tolerance level (setting threshold) even in the sitting and standing phases, where the occupant is burdened when getting on and off. It becomes possible to decide.

The invention of claim 4 is directed to a vehicle design support system that determines a design specification value around a vehicle door portion by evaluating a feeling of burden of a vehicle occupant during a boarding / alighting operation by simulation.

And human body characteristic data storage means for storing human body characteristic data related to the human body model simulating the occupant, design specification data storage means for storing temporary design specification data around the vehicle door portion, and the human body characteristics Based on the human body characteristic data stored by the data storage means and the temporary design specification data stored by the design specification data storage means, a virtual having a design specification value corresponding to the temporary design specification data A boarding / trailing operation trajectory calculating means for calculating the movement trajectory by simulating the passenger's boarding / alighting operation with respect to the vehicle by the human body model, and the boarding / alighting operation of the occupant with respect to the virtual vehicle are composed of a plurality of operation phases. Quantify the sense of burden for each motion phase during motion based on the motion trajectory calculated by the above-mentioned getting-on / off motion trajectory calculation means The sense of burden calculation means calculated by the above and the sense of burden for each operation phase calculated by the sense of burden calculation means all satisfy a target condition that is equal to or less than a set threshold value set for each operation phase. Design specification data optimization means for determining design specification data, and output means for outputting the design specification data determined by the design specification data optimization means, and There is door opening setting means capable of setting the door opening of the virtual vehicle, and an operation at the time of the passenger getting on and off the virtual vehicle according to the door opening set by the door opening setting means It is assumed that the trajectory can be calculated.

  Thus, the door opening degree of the virtual vehicle can be set by the door opening degree setting means, and the operation locus of the occupant's getting on and off operation with respect to the virtual vehicle can be set according to the door opening degree by the getting on / off movement locus calculating means. As a result, it is possible to estimate the movement trajectory of the occupant's getting-on / off operation with respect to the virtual vehicle according to the door opening degree by the sense of burden calculation means. Thus, the design specification data optimizing means can determine the optimum design specification data corresponding to the door opening of the vehicle.

  Therefore, for example, when determining optimum design specification data around the door portion for a vehicle that is assumed to be used in a place where there is relatively no surrounding space, the predicted door opening setting means is set as the door opening setting means. Therefore, the optimum design specification data suitable for the use of the vehicle can be determined by the design specification data optimization means.

In the invention of claim 5, in the invention of any one of claims 1, 3, and 4, the sense of burden when the occupant gets in and out of the vehicle is composed of a sense of physical burden and a sense of mental burden. Mental burden calculation data storing mental burden calculation data, which is obtained by quantifying the degree of influence of changes in the values of each design specification item around the vehicle door section on the mental burden during occupant getting-on / off movement for each operation phase Further comprising calculation data storage means, wherein the sense of burden calculation means is based on the motion trajectory calculated by the getting on / off motion trajectory calculation means and the provisional design specification data stored by the design specification data storage means. Stored in the physical burden calculation means for quantifying and calculating the magnitude of the physical burden for each operation phase at the time of getting on and off of the occupant with respect to the virtual vehicle, and the mental burden calculation data storage means Mental burden Based on the temporary data and temporary design data stored in the design data storage means, the feeling of mental burden for each operation phase at the time of getting on and off the occupant with respect to the virtual vehicle is quantified. A mental burden calculation means for calculating, and the magnitude of the physical burden for each motion phase calculated by the physical burden calculation means and each calculated by the mental burden calculation means Based on the magnitude of the mental burden for each motion phase, the magnitude of the burden for each motion phase when the occupant is getting on and off the virtual vehicle is calculated.

Thus, the same effect as that attained by the 2nd aspect can be attained.

According to a sixth aspect of the present invention, in the second or fifth aspect of the present invention, the getting-on / off movement trajectory calculating means is configured so that the time integral value of the joint torque around the predetermined joint during the getting-on / off action of the occupant is minimized. The physical trajectory calculation means is configured to calculate the movement trajectory during the passenger's boarding / exiting operation based on the movement trajectory calculated by the boarding / exiting movement trajectory calculation means. A joint torque calculating means for calculating a joint torque around the predetermined joint, wherein the time integral value for each operation phase of the joint torque calculated by the joint torque calculating means Suppose that it is comprised so that it may calculate as a magnitude | size of the physical burden feeling at the time of operation | movement.

  According to this configuration, the physical burden calculation means can accurately calculate the magnitude of the physical burden for each operation phase during the actual boarding / alighting operation of the occupant.

  That is, normally, the physical burden feeling at the time when the occupant gets in and out of the vehicle is proportional to the joint torque applied around each joint of the occupant. A joint torque calculating means for calculating a joint torque around a predetermined joint during the passenger's getting-on / off operation based on the movement locus calculated by the means, and the vehicle design support system according to the present invention provides a periphery of the vehicle door portion. When determining the design specification data, the physical burden calculation means calculates a time integral value for each operation phase of the joint torque calculated by the joint torque calculation means, and calculates each calculated value. Is set to the magnitude of the physical burden when the occupant gets in and out of each operation phase. Therefore, it is possible to accurately calculate the magnitude of the physical burden for each operation phase during the passenger's getting-on / off operation based on the time integral value of the joint torque around the predetermined joint of the passenger. The predetermined joint need not be all the joints of the occupant's body, and may be, for example, a joint on the upper body or a joint on which a particularly large torque acts during the getting-on / off operation.

  In general, a vehicle occupant performs a boarding / alighting operation by following a motion trajectory that minimizes the magnitude of physical burden during a boarding / alighting operation. It is configured to calculate the getting-on / off movement trajectory so that the time integral value of the joint torque around the predetermined joint of the upper body during the getting-on / off action is minimized. It is possible to calculate with high accuracy.

According to a seventh aspect of the present invention, in the invention according to any one of the second, fifth, and sixth aspects, the mental burden calculation means is based on the movement locus calculated by the getting-on / off movement locus calculation means in each movement phase. , Data related to the estimated vehicle component of the provisional design specification data stored in the design specification data storage means while estimating the vehicle component around the vehicle door portion ahead of the passenger's line of sight And, based on the extracted data and the mental burden calculation data, the magnitude of the mental burden for each operation phase at the time of occupant getting on and off the virtual vehicle is calculated and calculated. It is assumed that

  With this configuration, it is possible to accurately calculate the mental burden feeling when the occupant gets in and out of the vehicle by the mental burden calculation means.

  That is, the mental burden at the time of getting on and off of the occupant is strongly influenced by the visual information transmitted from the occupant's eyes to the brain, that is, the object visually recognized by the occupant during the getting on and off operation. The sense of burden calculation means estimates the vehicle component ahead of the occupant's line of sight in each motion phase based on the motion trajectory calculated by the above-mentioned boarding / alighting motion trajectory calculation means, and the estimation of the design specification data. The data related to the vehicle components extracted is extracted, that is, the data related to the visual information that affects the mental burden is extracted, and the passengers get on and off the vehicle based on the extracted data and the mental burden calculation data. The magnitude of the mental burden for each operation phase at the time is calculated. As a result, it is possible to accurately and reliably calculate the magnitude of the mental burden for each operation phase during the passenger's boarding / alighting operation.

According to an eighth aspect of the present invention, in the invention according to any one of the second, fifth, and sixth aspects, the mental burden calculation means is based on the movement trajectory of the occupant calculated by the getting on / off movement trajectory calculation means. In the operation phase, the vehicle components around the vehicle door portion that the occupant may come into contact with when getting on and off the vehicle are estimated, and the estimated design data stored in the design specification data storage means is estimated. The data related to the vehicle component extracted is extracted, and based on the extracted data and the mental burden calculation data, the mental burden feeling for each operation phase at the time of the passenger getting on and off the virtual vehicle is increased. Suppose that it is comprised so that it may calculate numerically.

  With this configuration, it is possible to accurately calculate the magnitude of the mental burden of the occupant by the mental burden calculation means.

  That is, the feeling of mental burden during an occupant's boarding / exiting operation is strongly influenced by the tactile sensation caused by an object coming into contact with the occupant's body during the boarding / exiting operation. Estimate the vehicle components that may be touched during operation and extract data related to the estimated vehicle components from the temporary design data, that is, extract data related to the occupant's tactile sensation. Thus, based on the extracted data and the mental burden calculation data, a feeling of mental burden for each operation phase at the time of the passenger's getting on and off operation is estimated. As a result, it is possible to accurately and reliably calculate the magnitude of the mental burden when the passenger gets in and out of the vehicle.

In the invention of claim 9, in the invention of any one of claims 2 and 5-8 , the mental burden calculation data is obtained by getting a plurality of subjects on and off a plurality of vehicles prepared in advance, It is assumed that the data is created by conducting a questionnaire survey based on a plurality of boarding / exiting evaluation items that affect the occupant's feeling of mental burden during boarding / exiting operations and analyzing the results.

  In this way, by creating the mental burden calculation data based on a questionnaire survey by a plurality of subjects, the change in the values of each design parameter around the vehicle door portion can It is possible to create the mental burden calculation data in which the degree of influence on the mental burden is accurately quantified for each operation phase.

  In addition, the questionnaire survey is performed based on a plurality of boarding / exiting evaluation items that affect the mental burden. For example, an evaluation obtained by extracting the plurality of boarding / exiting evaluation items by an ISM method that is one of data mining, for example. By setting it as an item, it is possible to create mental burden calculation data in which the degree of influence is quantified more accurately.

According to a tenth aspect of the present invention, in the invention according to any one of the second and fifth to eighth aspects, the mental burden calculation data is obtained by getting a plurality of subjects on and off a plurality of vehicles prepared in advance, It is assumed that it is data created by analyzing the utterance content at the time based on a plurality of boarding / exiting evaluation items that affect the feeling of mental burden during the boarding / exiting operation of the occupant.

  In this way, the mental burden calculation data is created by analyzing the utterance contents of each subject, so that the change in the values of each design specification around the vehicle door part is the passenger's getting on and off operation It is possible to create the mental burden calculation data in which the degree of influence on the mental burden of time is accurately quantified for each operation phase.

  Moreover, the content of the utterance is analyzed based on the plurality of boarding / exiting evaluation items. By making this boarding / exiting evaluation item an evaluation item extracted by, for example, the ISM method, the influence degree is further increased. It is possible to create mental burden calculation data that is accurately quantified.

In the invention of claim 11, in the invention of claim 9 or 10 , the plurality of boarding / exiting evaluation items are body harmony, physical openness, stability, spatial comfort, realization of intention, extracted by the ISM method. It shall consist of eight items: performance, suitability for operation, touch feeling, and security.

Thus, the same effect as that of the ninth and tenth aspects of the invention can be obtained more reliably.

  As described above, according to the vehicle design support system of the present invention, the design features around the vehicle door portion in which the magnitude of the burden when the passenger gets on and off the vehicle does not exceed the allowable level (setting threshold) in each operation phase. Original data can be determined with certainty, and as a result, it is possible to obtain design specification values around the vehicle door portion that can reliably reduce the sense of burden when the passenger gets in and out of the vehicle.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

(Embodiment 1)
FIG. 1 shows a schematic configuration of a vehicle design support system 100 according to Embodiment 1 of the present invention. This vehicle design support system 100 is embodied by a computer (not shown) to simulate a passenger's boarding / exiting operation (simulation calculation). Thus, the feeling of burden when the passenger gets on and off the vehicle is evaluated for each operation phase a1 to a6 to be described later, and the design specification values around the vehicle door portion 20 (each value Hn of each design specification item Dn). It is a system that decides. Here, the sense of burden at the time of getting on and off the occupant is composed of a sense of physical burden and a sense of mental burden. In the following explanation, this sense of burden is referred to as a sense of physical burden and a mental burden. It shall be called the total burden feeling in distinction from the burden feeling. In addition, it is necessary to maintain the bent posture when the operation of bending the neck and waist to avoid the roof of the vehicle because the occupant feels physical burden when getting on and off the vehicle by experiments conducted in advance. It is known that the magnitude of the burden feeling when getting on and off is mainly due to the muscle activity of the upper body for performing the neck and waist movements. Assume that the physical burden on the upper body is evaluated as a physical burden when getting on and off.

  As shown in the upper part of FIG. 9, the vehicle occupant's getting-on / off operation includes a boarding operation for entering the vehicle from the outside of the vehicle and seating on the seat 22 (see FIG. 3), and a getting-off operation for returning to the outside from the sitting state This getting-on / off operation can be classified into six operation phases a1 to a6 (stages) according to the type of the operation. That is, the above-mentioned getting-on / off operation is classified into an inner foot putting phase a1 for putting the inner foot into the vehicle, a seating phase a2 for sitting on the seat 22, and an outer foot putting phase a3 for putting the outer foot remaining outside the vehicle into the vehicle. The above-mentioned getting-off operation can be performed by the outside footing phase a4 in which the outer feet are taken out of the vehicle from the state of being seated on the seat 22, the standing phase a5 rising from the seats 22 and the inner feet remaining in the vehicle are taken out of the vehicle. It can be classified into a launch phase a6. The vehicle design support system 100 is configured to evaluate the occupant's total burden feeling for each of the six operation phases a1 to a6.

  As shown in FIG. 1, the vehicle design support system 100 includes, for example, a design specification data storage unit 2, a human body characteristic data storage unit 3, and a mental burden calculation data storage unit 4 each including a hard disk or a RAM of a computer. And a part of the simulation program stored in the hard disk and performing various calculations in cooperation with the CPU (not shown), the motion trajectory calculation unit 5, the joint torque calculation unit 6, and physical burden estimation Display unit 7, mental burden estimation unit 8, total burden estimation unit 25, design specification data optimization unit 9, and design specification data Q output from design specification data optimization unit 9. For this purpose, and a main controller 11 that controls the entire system in cooperation with the CPU.

The design specification data storage unit 2 includes initial design specification data Q of a target vehicle (virtual vehicle), simulation design provisional data Q, and design specification data during simulation of a passenger's boarding / exiting operation. This is for storing design data setting data including priority order data for setting priority order (change priority order described later) for each value of Q. Here, of the design specification setting data Q, the design specification data Q is data in which the values Hn of the design specification items Dn are arranged in order, and the design specification data Q = (H ₁ , H ₂ ... H ₈ ), the priority order data is priority order data set for each of these values Hn, and the design specification setting data is two-dimensional matrix data composed of these data. expressed. The provisional design specification data Q is a simulation until the design specification data Q satisfying a predetermined target condition is found by executing the design specification optimization control process described later by the design specification data optimization unit 9. Design specification data Q used for the purpose, and is sequentially updated and rewritten with new data as the control process is executed. The initial value of each data value Hn of the temporary design specification data Q is a design specification value around the door portion 20 before optimization.

  The design specification item Dn is a design specification around the door portion 20, and specifically, the floor height D1, the seat height D2, the seat position D3, and the roof rail height D4 shown in FIGS. , Front pillar position D5, front pillar inclination angle D6, center pillar position D7, and center pillar inclination angle D8 (n in design specification item Dn is a variable indicating the type of design specification, and n must be designated. Allows you to specify specific design specifications). Here, the floor height D1, the seat height D2, and the roof rail height D4 are the heights of the respective parts from the ground. The seat position D3 is a position in the vehicle width direction of the seat 22 and is a distance in the vehicle width direction from the door 21 to the seat 22. Further, the front pillar position D5 and the center pillar position D7 are positions in the vehicle front-rear direction of the respective parts, for example, distances in the vehicle front-rear direction from the vehicle front end portion to the respective parts. Further, the front pillar inclination angle D6 and the center pillar inclination angle D8 are inclination angles in side view of the respective parts. These design specification items Dn greatly contribute to the getting on and off of the vehicle. For example, if the roof rail height D1 is lowered, the occupant must bend the neck more greatly when the vehicle gets on and off, so that the physical burden increases and the boarding / exiting performance decreases.

  The human body characteristic data storage unit 3 stores human body characteristic data related to a human body model JM (see FIG. 4) of a passenger for simulation.

As shown in FIG. 4, this human body model JM is a rigid link model (multi-joint) of the occupant's upper body formed by connecting three rigid bodies of a head M1, a chest M2, and a waist M3 via a neck joint J1 and a waist joint J2, respectively. Model). Here, the modeled occupant is an adult male whose physique is to be evaluated by simulation. The human body characteristics data, the sitting height of the human body model JM, weight _{m 1} of the head M1, the weight _{m 2} of breast M2, the moment of inertia _{I 1} of the head M1, regarding the physical structure of the occupant such as moment of inertia _{I 2} like the chest M2 It is data.

In addition to the human body characteristic data, the human body characteristic data storage unit 3 includes, as the inertia moments I ₁ and I ₂ , the vehicle body longitudinal direction as shown in FIG. Inertia moment values around each of the x, y, and z axes in a Cartesian coordinate system in which the direction perpendicular to the axis and the z axis (direction perpendicular to the paper surface) is the y axis are stored.

  The entry / exit movement trajectory calculation unit 5 includes design specification data Q (value Hn of each design specification item Dn) output from the design specification data storage unit 2 and each human body output from the human body characteristic data storage unit 3. Based on the characteristic data, an operation trajectory when the occupant gets on and off the vehicle is calculated and output.

Here, the entry / exit movement trajectory calculation unit 5 calculates the total joint torque T (cervical joint torque T _{1 and} waist joint torque T ₂ described later) around a predetermined joint (in this embodiment, around the neck joint and the waist joint) during the passenger's entry / exit operation. In order to minimize the time integral value of the sum of the two), the motion trajectory during the getting-on / off operation is calculated using a genetic algorithm. In the present embodiment, the predetermined joints are the two joints of the neck joint and the waist joint. However, the present invention is not necessarily limited to this. For example, only the neck joint (only one joint) may be used, The above joints may be used.

  More specifically, the getting-on / off movement trajectory calculation unit 5 gives each joint angle θi as a quaternary function of time in advance as shown in Expression (1), and uses the evaluation function V shown in Expression (2). The motion trajectory is calculated by searching for the combined data of the parameters ai to ei that minimize the evaluation value by using the total value of the obtained time integral values of the joint torque as an evaluation value, using a genetic algorithm. The calculation of the joint torque is executed by a joint torque calculator 6 described later.

  The genetic algorithm is a technique for searching for an optimal solution (optimal data) by manipulating data (in this embodiment, combination data of parameters ai to ei) based on an evolutionary concept. The flow of data operation based on the genetic algorithm in the part 5 will be described with reference to FIG.

  That is, in the first step SG1, an initial generation group that is an aggregate of a plurality of data is generated.

  In step SG2, the fitness of each solid (each data) of the generated population is calculated. Here, the fitness is calculated by, for example, the reciprocal of the evaluation value, and a solid having a larger value is more easily passed on to the next generation. In the present embodiment, even when the fitness is high, the fitness is extremely reduced if the motion trajectory determined from Equation (1) corresponding to each data does not satisfy the predetermined constraint condition. Is set to a low value. Here, the predetermined restraint condition is a condition set based on the design specification data Q so that the occupant and the vehicle (virtual vehicle) do not interfere with each other.

  In step SG3, the entire generation is evaluated based on the fitness, and in step SG4, it is determined whether a predetermined end condition is satisfied based on this evaluation. If this determination is YES, the data operation is terminated, whereas if NO, the process proceeds to step SG5. Specifically, this determination is made, for example, based on whether or not a condition (end condition) that the average value of the fitness of all solids is equal to or greater than a predetermined value is satisfied.

  In step SG5, individuals are selected at a rate proportional to the degree of fitness by the so-called “roulette selection method”. In addition, as a solid selection method, for example, an individual logarithm (tournament size) is randomly selected from a group, and a tournament selection method that selects the highest fitness among them is selected. For example, an “elite strategy” may be employed in which some of the individuals with high degrees are left in the next generation.

  In step SG6, a GA operation is executed to further evolve each solid, and the process returns to step SG2.

  As shown in FIG. 6, the GA operation is executed on the sequence data (solid) obtained by converting the sequence data consisting of the parameters ai to ei into binary numbers.

  As an aspect of the GA operation, a clone (FIG. 6A) that copies an individual (data) of a certain generation G as it is, and a mutation that changes an individual of a certain generation G into a pattern that does not exist in the generation G ( 6 (B)) and crossover (FIG. 6 (C)) in which a part of a plurality of individuals in a certain generation G is exchanged, and mutations are classified into major mutations and minor mutations depending on the degree of the change. The In the present embodiment, the setting of clone: large mutation: small mutation: crossover = 3: 35: 10: 52 has resulted in a result that the simulation result and the measurement result by human body measurement are very close to each other. The trajectory calculation unit 5 adopts the above ratio when executing the GA operation.

  FIG. 9 shows an example of the motion trajectory calculated by the getting on / off motion trajectory calculation unit 5 in this way. This figure shows the movement trajectory (trajectory indicated by the solid line in the figure) of the occupant's head M1 during the getting-on / off movement (trajectory indicated by the solid line in the figure) and the movement trajectory of the chest M2 in the vertical direction (shown by the broken line in the figure). (Trajectory), that is, the temporal change in the gravity center position of the head M1 and the gravity center position of the chest M2. In this figure, the horizontal axis represents time, and the vertical axis represents each barycentric position.

The joint torque calculation unit 6 is configured so that each joint (cervical joint and hip joint) during the getting-on / off operation is based on the operation locus output from the getting-on / off operation locus calculating unit 5 and the human body characteristic data stored in the human body characteristic data storage unit 3. The joint torque applied to the joint) is calculated. In the joint torque calculation unit 6, and calculating the hip joint torque T ₂ according to the jugular joint torque T ₁ and the hip joint J2 according to the neck joint J1 is relatively high correlation with the physical burden at the time the vehicle passenger .

In the vehicle design support system 100, as described above, the upper body is represented as a rigid link model in which the three rigid bodies of the head M1, the chest M2, and the waist M3 are connected by the neck joint J1 and the waist joint J2, respectively. Therefore, the joint torques T ₁ and T ₂ applied to the neck joint J1 and the waist joint J2 can be calculated from the joint force obtained from the translational acceleration α of each rigid body and the rotational motion equation around the center of gravity.

The method of calculating the neck joint torque T ₁ according to the cervical joints J1 will be described with reference to FIG. Here, a method of calculating the neck joint torque _T1y around the y axis in the orthogonal coordinate system of the x, y, and z axes will be described.

First, based on the operating locus of the x-axis and z-axis direction of the head M1 outputted from the elevating operation path calculating unit 5, the translational acceleration of the translational acceleration alpha _1x and z-axis direction of the x-axis direction of the head M1 alpha _1z And calculate. Then, using the head weight m ₁ and the gravitational acceleration g output from the human body characteristic data storage unit 3, the joint forces f _1x and f _1z in the x-axis and z-axis directions applied to the neck joint J1 are _expressed by the following formulas ( 3) and is calculated as in equation (4).

f _1x = m ₁ α _1x (3)
f _1z = m ₁ α _1z −m ₁ g (4)

Next, the distance between the head M1 and the neck joint J1 as shown in FIG. 4 on the basis of the motion trajectories in the x-axis and z-axis directions of the head M1 and the neck joint J1 output from the getting on / off motion locus calculator 5. calculating x-axis of the moment arm length _{r 1,} z-axis direction of the moment arm length _{r 1x,} and _{r 1z} (see FIG. 7), and angular acceleration theta _"1y around the y-axis of the head M1 is Then, y of the head M1 output from the inter-articular forces f _1x and f _1z in the x-axis and z-axis directions applied to the neck joint J1 calculated from the above formulas (3) and (4) and the human body characteristic data. Using the moment of inertia I _1y around the axis, the neck joint torque T _1y around the y-axis of the neck joint J1 is calculated as in the following equation (5).

T _1y = −f _1z r _1x + f _1x r _1z + I _1y θ ” _1y (5)

Similarly, the neck joint torque T _1x around the x-axis of the neck joint J1 is calculated using the y-axis and z-axis direction motion trajectories of the head M1 output from the getting on / off motion trajectory calculation unit 5. Further, the neck joint torque _T1z around the z-axis of the neck joint J1 is calculated using the motion trajectories of the head M1 output from the getting-on / off motion trajectory calculation unit 5 in the x-axis and y-axis directions. Then, the neck joint torque T ₁ is calculated by synthesizing the neck joint torques T _1x , T _1y , and T _1z of these axis components as _shown in the following equation (6).

Will now be described with reference to FIG. 8 method for calculating the hip joint torque T _2. Here, the calculation method of the hip joint torque _T2y around the y-axis will be described in the same manner as described above.

First, based on the operating locus of the x-axis and z-axis direction of the chest M2 output from the landing operating locus calculation portion 5, the translational acceleration alpha _2x and z-axis direction of the x-axis direction of the chest M2 and translational acceleration alpha _2z calculate. The joints in the x-axis and z-axis directions applied to the lumbar joint J2 using the chest weight m ₂ output from the human body characteristic data, the gravitational acceleration g, and the joint forces f _1x and f _1z applied to the neck joint J1. The _interphase forces f _2x and f _2z are calculated as in the following formulas (7) and (8).

f _2x = m ₂ α _2x −f _1x (7)
f _2z = −f _1z −m ₂ g + m ₂ α _2z (8)

Next, based on the motion trajectories in the x-axis and z-axis directions of the neck joint J1 and the waist joint J2 output from the getting on / off motion trajectory calculation unit 5, the moment arm length r which is the distance between the neck joint J1 and the waist joint J2 _The moment arm lengths r _2x and r _2z that are distances in the x-axis and z-axis directions of ₂ and the angular acceleration θ ″ _2y around the y-axis of the chest M2 are calculated. Using the inter-joint forces f _1x and f _1z , the inter-joint forces f _2x and f _2z applied to the hip joint J2, and the inertia moment I _2y around the y-axis of the chest M2 output from the human body characteristic data, The waist joint torque _T2y around the y-axis of the joint J2 is calculated as in the following equation (9).

T _2y = −f _2z r _2x / 2 + f _2x f _2z / 2-f _1z r _2x / 2 + f _1x r _2z / 2 + I _2y θ ” _2y + T _1y (9)

Similarly, the hip joint torque T _2x around the x-axis of the hip joint J2 is calculated using the y-axis and z-axis direction motion trajectories of the chest M2 output from the getting on / off motion trajectory calculation unit 5 and the like. Further, the hip joint torque T _2z around the z-axis of the hip joint J2 is calculated using the movement trajectory of the chest M2 output from the getting-on / off movement trajectory calculation unit 5 in the x-axis and y-axis directions. Then, the hip joint torque T ₂ is calculated by synthesizing the hip joint torques T _2x , T _2y , and T _2z of these axis components as in the following equation (10).

FIG. 10 shows an example of calculation results of the neck joint torque T ₁ and the waist joint torque T ₂ calculated as described above. In this figure, the torques T ₁ and T ₂ are calculated using the operation trajectory during the getting-on / off operation shown in FIG. Those shown by the solid line in the figure is a hip joint torque T _2, as indicated by a broken line is a neck joint torque T _1. Here, it changes the boarding Operation neck joint torque T _1, that shows the measurement results and good agreement of a change in myoelectric potential of trapezius muscle and sternocleidomastoid muscle of the occupant during getting on and off operation has been confirmed . Also, the change in hip joint torque T ₂ are, to show the measurement results and good agreement of a change in myoelectric potential of the occupant's torso spinae and Harajika muscle has been confirmed. In other words, it has been confirmed that there is a high correlation between the muscle activity and the neck joint torque T ₁ and the hip joint torque T ₂ of the time getting on and off operation, as described above. Therefore, in this vehicle design support system 100, a physical burden at the time of getting on and off operation based on these joint torque T _1, T ₂ is calculated by the physical burden estimation unit 7.

In the physical burden estimation unit 7, on the basis of the neck joint torque T ₁ calculated by the joint torque calculation unit 6 as and the hip joint torque T ₂ above, to the operation phase of the occupant when the vehicle passenger a1 The physical burden feeling for each a6 is calculated, and the total physical burden feeling is calculated by summing the physical burden feelings for each of the operation phases a1 to a6. Specifically, the physical burden estimator 7 calculates the total joint torque T (= T ₁ + T ₂ ), which is the sum of the neck joint torque T _{1 and the} waist joint torque T ₂ , at the start of each operation phase a 1 to a 6. The physical burden W _a (a = 1, 2,..., 6) for each operation phase a1 to a6 is calculated by time integration in the interval from time to end, and each calculated operation phase a1 The total physical burden W is calculated by adding all physical burdens W _a for every a6. Here, represents a sense of physical burden in physical burden W ₁ to W ₆ being each operation phase a1 to a6 respectively, for example, physical burden W ₁ for receiving an occupant in the operating phase a1 during getting on and off operation The following equation (11) can be calculated, and the total physical burden can be calculated by equation (12).

  Here, each said calculation is performed by CPU of a computer. Therefore, the motion trajectory output from the getting on / off motion trajectory calculation unit 5 becomes discrete system data for each step time Δt, and the total joint torque T calculated based on the motion trajectory is also the discrete system data for each Δt. Become. Therefore, by adding the discrete calculation data calculated by the product of the total joint torque T and Δt, which is the discrete data, within the time intervals of the respective operation phases a1 to a6, each operation phase shown in Expression (11) is performed. It is possible to calculate a physical burden feeling for each of a1 to a6.

The physical burden feeling estimation unit 7 calculates (estimates) the physical burden feeling W _a (a = 1, 2,..., 6) of the occupant for each motion phase a1 to a6 and the total physical body that is the sum of these. Information on the sense of burden W is output to the total burden estimator 25. Thus, the physical burden estimator 7 and the joint torque calculator 6 constitute a physical burden calculator.

  The mental burden calculation data storage unit 4 stores mental burden calculation data 30 (see FIG. 5), which is a basis for estimating (calculating) the mental burden sense when the occupant gets on and off the mental load sense estimation unit 8. 13) is stored. In the present embodiment, the mental burden calculation data 30 includes a plurality of test subjects (this book 10) in a plurality of test rides (in this embodiment, ten test rides) having different values Hn of the design specification items Dn. In the embodiment, it is created based on answers to a questionnaire survey on boarding / exiting performance by 42 subjects).

  This questionnaire survey is performed by checking items that are considered to be appropriate among the answer items of the questionnaire sheet 31 (see FIG. 12) distributed in advance to each subject. Specifically, the questionnaire sheet 31 is provided with a check column 33 corresponding to each answer item 32, and the subject checks the check column of the corresponding question. In the example of the figure, it is shown that the subject has checked the check column 33 corresponding to the item “high and painful”.

  Each answer item described on the questionnaire sheet 31 is obtained by previously extracting the eight entry / exit evaluation items A1 to A8 (see FIG. 11) that affect the mental burden and associating them with the extracted items. It is created for each of the operation phases a1 to a6. The ISM method is one of the data mining categories that are included in the link analysis. Of the many influencing factors (items) that affect the mental burden, the important boarding / exiting evaluation items A1 to A8 are accurately identified. It is a technique for extracting. Specifically, in this embodiment, as these evaluation items A1 to A8, “body harmony”, “physical openness”, “stability”, “spatial comfort”, “intention realization”, “Operation suitability”, “feeling good” and “stability” are extracted. In addition, the arrow in FIG. 11 shows the correlation of each boarding / exiting evaluation item A1 thru | or A8, and each boarding / exiting evaluation item A1 thru | or A7 is finally connected with "feeling of security" (boarding / exiting evaluation item A8). Yes.

  The questionnaire sheet 31 is provided with a correspondence table 34 indicating which of the above eight evaluation items A1 to A8 (entrance / exit evaluation items) each answer item is associated with. In the cell corresponding to the item, a check “1” for counting the number of influences described later is entered.

  This correspondence table 34 is provided for the convenience of the tabulator who summarizes (analyzes) the questionnaire results, and each subject does not need to consider the description of the correspondence table 34 when answering the questionnaire. The questionnaire survey is conducted after informing the subject in advance.

  By calculating (analyzing) the results of the questionnaire survey conducted in this way, for example, as shown in FIG. 14, the ratio of each operation phase a1 to a6 in the feeling of mental burden at the time of getting on and off in each vehicle is calculated. Can do.

  That is, if a questionnaire survey is performed on the vehicle X by the subject Y, the answer item “high and painful” regarding the operation phase a1 (inner foot placement phase) of the questionnaire sheet 31 (see FIG. 12) (hereinafter, answer item 1) If the answer item “below the bottom of the door” (hereinafter referred to as answer item 2) related to the operation phase a3 (external footing phase) is checked, the answer item 1 is Since only the cell corresponding to the item A6 is checked, the number of influences affecting the mental burden is counted as 1, and the item 2 is a cell corresponding to the three entry / exit evaluation items A4, A5, A7. Since the check is entered, the number of influences is counted as 3, and the mental burden felt by the subject Y when getting on and off the vehicle X is converted into the number of influences It can be counted as 4 (= 1 + 3) Te. The ratio of the mental phase of the movement phase a1 is 25 (= 1/4 × 100)% by dividing the influence number 1 counted in the movement phase a1 by the total number of influences 4. Similarly, the proportion of the mental burden of the operation phase a3 can be calculated as 75 (= 3/4 × 100)%.

  And in this embodiment, a system designer (questionnaire total) analyzes a questionnaire result based on the idea based on such an influence number. Specifically, the system designer counts the number of influences for each operation phase a1 to a6 in each vehicle or for each of the entry / exit evaluation items A1 to A8, so that each occupant's entry / exit operation for each vehicle is performed. A mental burden ratio for each of the operation phases a1 to a6 and further a ratio for each of the entry / exit evaluation items A1 to A8 are calculated.

  Further, the system designer calculates the mental burden by performing multiple regression analysis on the ratio data for each of the evaluation factors A1 to A8 of the mental load feeling at the time of getting on and off for each calculated vehicle. The business data 30 (see FIG. 13) is created. Specifically, for example, the value Hn of each design specification item Dn of each vehicle is used as an independent variable, and the ratio of each of the evaluation characteristics A1 to A8 in the mental burden at the time of getting on and off in each vehicle is dependent. Perform multiple regression analysis as a variable. Thus, each value of the created mental burden calculation data 30 represents the degree of influence that a change in the value Hn of each design specification item Dn has on the boarding / exiting evaluation items A1 to A8. As shown in FIG. 13, for example, the degree of influence of the change in the value H1 of the design specification D1 on the entry / exit evaluation items A3 and A4 in the inner footing phase a1 is 0.7258 and 0.7774, respectively. . From this, it can be seen that the influence of the design specification D1 on the boarding / evaluating evaluation item A4 in the inner footing phase a1 is smaller than the influence on the boarding / exiting evaluation item A3. As described above, since each of the evaluation items A1 to A8 is an influencing factor that affects the occupant's feeling of mental burden when getting on and off, the mental burden calculation data 30 is stored in the vicinity of the vehicle door portion. It can be said that the degree of influence that the change in the value Hn of each design specification item Dn has on the mental burden at the time of getting on and off the occupant is quantified for each of the operation phases a1 to a6.

  The created mental burden calculation data 30 is input from a keyboard (not shown) by the designer at the system design stage and stored in the mental burden calculation data storage unit 4.

  The mental burden feeling estimation unit 8 is based on the mental burden calculation data 30 output from the mental load calculation data 30 and the design specification data Q output from the design specification data storage unit 2. In a vehicle (virtual vehicle) having a design specification value Hn corresponding to the design specification data Q, a feeling of mental burden for each of the operation phases a1 to a6 and a total mental burden obtained by adding them together when the passenger gets in and out of the vehicle Calculate the feeling.

Specifically, the mental burden estimator 8 calculates the value (influence) of each data cell of the mental burden calculation data 30 as E _ajn (a = 1, 2,..., N, j = 1, 2, ... 8) as, respectively mental burden M _a and total mental burden M of each operation phase a1 to each a6 when the occupant getting on and off operation, is calculated by the following equation (13) and (14) . Here, the subscript a corresponds to each operation phase a1 to a6, the subscript n corresponds to each design specification item Dn, and the subscript j corresponds to each of the boarding / exiting evaluation items A1 to A8. Accordingly, for example, the degree of influence E ₁₁₃ represents the degree of influence of the design specification D1 on the entry / exit evaluation item A3 in the operation phase a1, and its value is 0.7258 as shown in FIG.

Psychological burden estimation unit 8 outputs the psychological burden M _a and total mental burden M of each operation phase a1 to each a6 calculated on the total burden estimation unit 25. Thus, the mental burden estimation unit 8 constitutes a mental burden calculation means.

The total burden feeling estimation unit 25 outputs the physical burden feeling W _a and the mental burden for each of the occupant's movement phases a1 to a6, which are respectively output from the physical burden feeling estimation unit 7 and the mental burden feeling estimation unit 8. based on the sensitive M _a, calculates (estimates) the total burden of the operation phase a1 to each a6.

Here, the physical burden feeling W _a calculated by the physical burden feeling estimation unit 7 and the mental burden feeling M _a calculated by the mental burden feeling estimation unit 8 are apparent from the respective calculation processes. The unit system is different. Therefore, in the present embodiment, psychological burden estimation unit 8, the body by the time to calculate the total burden, dividing the physical burden W _a of each operation phase a1 to a6 total burden W burden sense to calculate the ratio RW _a, in terms of calculating the psychological burden ratio RM _a by dividing the mental burden M _a of each operation phase a1 to each a6 total psychological burden M, Assuming that the ratio of the physical burden and the mental burden in the total burden feeling from the start to the end of the occupant's boarding / exiting operation is 50%, the total burden ratio for each of the operation phases a1 to a6 RS _a (a = 1, 2,..., 6) is calculated, and the total burden feeling ratio RS _a is used as the total burden feeling (the magnitude of the total burden feeling) for each of the operation phases a1 to a6 (see FIG. 15). ).

Specifically, the total burden estimator 25 calculates the physical burden ratio RW _a by the following equation (15), calculates the mental burden ratio RM _a by the following equation (16), It calculates the total burden ratio RS _a by (17).

Here, RW _{1 to} RW _6, RM _{1 to} RM ₆ , and RS _{1 to} RS ₆ respectively represent the physical burden sensation ratio, the mental burden sensation ratio, and the total burden sensation ratio in each of the operation phases a1 to a6. ing.

RW _a = W _a / W (15)
RM _a = M _a / M (16)
R = (RM _a + RW _a ) / 2 (17)

The total sense of burden estimation unit 25 outputs information on the calculated physical burden ratio RW _a to the design specification data optimization unit 9. The total burden estimator 25, the physical burden estimator 7, the mental burden estimator 8, and the joint torque calculator 6 are the burden estimator 26 (FIG. 1) as the burden sensation calculating means of the present invention. Reference).

Based on the information from the total burden estimator 25, the design specification data optimizing unit 9 calculates the total burden ratio RS _a (the sense of burden) for each of the operation phases a1 to a6 during the passenger getting-on / off operation. It is determined whether or not each of the operation phases a1 to a6 is equal to or less than a preset threshold ratio (set threshold) set in advance. The set threshold ratio can be set by an operator (system user) inputting in advance from a keyboard (not shown).

Then, the design specification data optimization unit 9, when the total burden ratio RS _a in each operation phase a1 to a6 is determined to target conditions to be less, respectively set閾割Go is satisfied, at that time when one of outputting to the result display portion 10 the design specification data Q as the optimum design specifications data Q, which even one its total burden ratio RS _a of each operation phase a1 to a6 is above the set threshold percentage ( in Figure 15, the total burden ratio RS _a indicates the case where is greater than the set threshold percentage) in the seating phase a2 and outer leg out phase a4 are changed priority below the design specification data Q at that time After being changed based on the order, it is output and stored in the design specification data storage unit 2 as new design specification data Q for simulation.

The main control unit 11 determines the design specification data Q so that the total burden ratio RS _{a for} each operation phase a1 to a6 is equal to or less than the set threshold ratio. Design specification optimization control for controlling the entire system, such as calculation processing in the calculation units 5 and 6, is executed. The main control unit 11 and the design specification data optimization unit 9 constitute a design specification data optimization unit.

  The result display unit 10 includes a computer display (not shown), and displays the optimum design specification data Q output from the design specification data optimization unit 9 on the display and indicates it to the operator. is there.

  Next, the design specification optimization control process by the main control unit 11 will be described with reference to the flowchart of FIG. The processing after step SA7 is executed by the design specification data optimizing unit 9 that has received a command from the main control unit 11.

  In the first step SA1, a command is issued to read the human body characteristic data in the human body characteristic data storage unit 3 to the calculation units 5 and 6 and the design specification data optimization unit 9.

  In step SA2, a command is issued to read the temporary design specification data Q stored in the design specification data storage unit 2 to the calculation units 5 and 6 and the design specification data optimization unit 9.

  In step SA3, a calculation execution command is issued to the boarding / alighting motion trajectory calculation unit 5 to calculate a boarding / alighting trajectory that minimizes the integral value of each joint torque of the occupant replaced by the human body characteristic data.

In step SA4, in the vehicle (virtual vehicle) having the design specification value Hn corresponding to the design specification data Q read in step SA2 by issuing a calculation execution command to the physical burden estimation section 7. A physical burden ratio RW _a is calculated for each of the operation phases a1 to a6 that the occupant receives during the getting-on / off operation.

In step SA5, a mental execution feeling command RM _a for each of the operation phases a1 to a6 received by the occupant during the getting-on / off operation in the vehicle (virtual vehicle) is obtained by issuing a calculation execution command to the mental burden estimator 8. Let it be calculated.

At step SA6, by performing the operation execution command to the total burden estimation unit 25, the occupant is calculated on the total burden ratio RS _a of each operation phase a1 to each a6 subjected during passenger operation in the vehicle (virtual vehicle) .

In step SA7, by performing the operation execution command to the design specification data optimization unit 9, setting the total burden ratio RS _a calculated in step SA6 is, set for each respective operating phase a1 to a6 It is judged whether it is below the threshold ratio. If the determination is YES, the process proceeds to step SA8, and if the determination is NO, the process proceeds to step SA9 (see FIG. 17).

  In step SA8, the design specification value data Q used for the simulation is output to the result display unit 10.

In step SA9 (see Fig. 17), the total burden ratio RS _a extracts the operating phase a1 to a6 exceeds the set threshold percentage.

  In step SA10, design specification items Dn related to the operation phases a1 to a6 extracted in step SA9 are extracted. Here, the design specification items Dn related to the operation phases a1 to a6 are set in advance at the design stage and stored in the hard disk. Specifically, for example, the design specification item Dn related to the seating phase a2 relates to the seat 22 and is the seat height D2 and the seat position D3. In the present embodiment, each operation phase a1 to Two or more design specification items Dn are set for each of a6.

  In step SA11, among the design specification items Dn extracted in step SA10, the design specification item Dn having the least influence on the vehicle appearance is selected even if the value is changed. Here, the degree of influence of each design specification item Dn on the appearance is ranked in advance and stored as priority data of the design specification setting data. In the following description, this order is referred to as change priority.

  In step SA12, a new design specification is obtained by adding a predetermined step value to the value of the design specification item Dn selected in step SA11 (data value Hn corresponding to the design specification item Dn in the design specification data Q). In addition to creating data Q, the created design specification data Q is output to and stored in the design specification data storage unit 2.

  In step SA13, it is determined whether or not the value Hn of the design specification item Dn to which the step value has been added is within a preset allowable range. If this determination is YES, the process returns. Advances to step SA14.

  In step SA14, the design specification item Dn having the next highest change priority after the design specification item Dn selected in step SA11 is selected, and the process returns to step SA12. Incidentally, the value Hn of the design specification item Dn to which the step value is added is returned to the data value immediately before exceeding the allowable range.

As described above, in the first embodiment, the total burden sense estimation unit 25 assumes that the occupant's getting on / off operation is composed of the above six operation phases a1 to a6, and each operation phase at the time of getting on / off the occupant's vehicle (virtual vehicle). The total burden feeling ratio RS _a for each of a1 to a6 is calculated, and the total burden feeling ratio RS for each operation phase a1 to a6 calculated by the total burden feeling estimation section 25 in the design specification data optimization unit 9 is calculated. to calculate the _a as the total burden (the size of the total burden), (to satisfy the target conditions) such respective total burden ratio RS _a is equal to or less than all set閾割Go main design specification data Q The determination is made in cooperation with the control unit 11.

  In this way, the design specification data optimizing unit 9 can determine design specification data that can reliably reduce the total burden during the passenger's getting-on / off operation. That is, the passenger's boarding / exiting operation is not divided into the respective operation phases a1 to a6 as described above, but for example, the burden feeling estimation unit 25 senses the total burden from the start to the end of the passenger's boarding / exiting operation (each operation phase (total sum of the total burden feeling for each of a1 to a6), and when the design specification data optimization unit 9 determines the design specification data Q for which the total burden feeling is less than or equal to the set degree, Although designing the area around the vehicle door based on the design specification data Q can reduce the overall feeling of burden on the passenger when getting on and off the vehicle, a specific operation phase during the getting on and off operation Although a1 to a6 may exceed the permissible burden of the occupant and there is room for improvement, as in the first embodiment, the design specification data optimization unit 9 performs the total burden for each operation phase a1 to a6. Sensibility is By determining the design specification data Q so as to be equal to or less than the set threshold ratio set for each of the phases a1 to a6, it is possible to ensure a sense of total burden for each of the operation phases a1 to a6 when the passenger gets on and off. It is possible to determine the design specification data Q that is less than the allowable level.

In the first embodiment, the design specification data optimizing unit 9 receives the calculation execution command from the main control unit 11, and receives the calculation execution command from the main control unit 11, and the total burden feeling ratio RS _a for each of the operation phases a1 to a6 during the passenger getting-on / off operation. Are all equal to or less than the set threshold ratio, that is, whether or not the target condition is satisfied, and it is determined that the target condition is satisfied (when determination of step SA7 is YES) The design specification data Q at that time is determined as the optimum design specification data Q and is output to the result display unit 10 (the process of step SA8 is executed), while it is determined that the target condition is not satisfied. When the determination is made (when the determination in step SA7 is NO), the sense of burden (sense of burden) estimated by the total sense of burden estimation unit 25 in the operation phases a1 to a6 is the set threshold ratio (set threshold). Up After rotating operation phases a1 to a6 are extracted (the process of step SA10 is executed) and a plurality of design specification items Dn related to the extracted operation phases a1 to a6 are extracted (after the process of step SA10 is executed) The design specification items Dn to be changed are sequentially selected from the extracted design specification items Dn in accordance with the change priority order (the processes of steps SA11 and 14 are executed), and each time the selection is made. Further, the data value Hn corresponding to the selected design specification item Dn in the design specification data Q stored in the design specification data storage unit 2 changes within a permissible range (within a predetermined range) at a predetermined step value. Then, the design specification data Q is updated (when the process of step SA12 is executed) and the design specification data Q satisfying the target condition is found. In (until it is determined YES at step SA7), and is configured to search determine the optimal design specification data Q and repeatedly executes steps SA9 subsequent processing.

  With this configuration, the design specification data optimizing unit 9 can search for the optimum design specification data Q without changing the data value Hn corresponding to the design specification item Dn having a low change priority as much as possible. .

  Here, in the first embodiment, the change priority order set in advance for each design specification item Dn is the order in which the degree of influence of each design specification item Dn on the appearance is small. Accordingly, the design specification optimization unit 9 does not change the data value Hn corresponding to the design specification item Dn having a low change priority as much as possible, that is, the data value corresponding to the design specification item Dn having a large influence on the appearance. The optimum design specification data Q can be searched without changing Hn as much as possible.

Further, in Embodiment 1, the total burden estimation unit 25 calculates at calculated by psychological burden estimation unit 8 (estimated) by mental burden M _a and physical burden estimation unit 7 (estimate in) it is based on the physical burden W _a has been, is adapted to calculate (estimate) the total burden.

In this way, the total burden that both the mental burden M _a and physical burden W _a was to be calculated taking into account the, for example mental burden M _a and physical burden W compared to case of calculating the total burden based on either one of the _a, it can occupant can be further accurately estimate the total burden actually feel when getting on and off operation. For this reason, the design specification data optimizing unit 9 can determine the optimum design specification data Q that can surely reduce the burden on the passenger.

In the first embodiment, the mental burden estimation unit 8 is stored in the mental burden calculation data 30 stored in the mental load calculation data storage unit 4 and the design specification data storage unit 2. based on the design specification data Q, which is a psychological burden M _a of each operation phase a1 to each a6 when the occupant getting on and off operation as estimated by equation (13). Accordingly, the psychological burden estimation unit 8, it is possible to calculate with a psychological burden M _a of each operation phase a1 to each a6 simple operation.

  Further, in the first embodiment, the getting on / off motion trajectory calculation unit 5 should minimize the time integral value of the joint torque (total joint torque T) around the neck joint and the waist joint (around the predetermined joint) during the getting on / off operation of the occupant. The movement trajectory is calculated using a genetic algorithm. As a result, it is possible to calculate the motion trajectory that accurately reproduces the motion trajectory during the actual getting-on / off operation of the occupant.

Further, in the first embodiment, the joint torque calculation unit 6 is arranged around the neck joint and the waist joint (around the predetermined joint) during the passenger's getting-on / off operation based on the operation locus calculated by the getting-on / off operation locus calculating unit 5. The physical torque estimation unit 7 is configured to calculate the joint torque. The physical torque estimation unit 7 calculates the joint torque (total joint torque T) calculated by the joint torque calculation unit 6 for each operation phase a1 to a6. The time integral value of the joint torque is calculated for each of the operation phases a1 to a6 by time integration, and the physical burden feeling during the passenger's getting on and off operation in each of the operation phases a1 to a6 is calculated. It is configured to estimate W _a . As a result, the physical burden W _a for each of the operation phases a1 to a6 during the passenger's getting on and off operation is accurately estimated based on the time integral values of the joint torque around the neck joint and the waist joint of the passenger (human body model JM). can do.

  Further, in the first embodiment, the mental burden calculation data 30 is obtained by getting on and off a plurality of vehicles prepared in advance by a plurality of subjects (42 persons) and extracting each subject by the ISM method. It is created by conducting a questionnaire survey based on the evaluation items A1 to A8 and analyzing the result. As a result, the degree of influence that the change in the value Hn of each design specification item Dn around the vehicle door portion has on the feeling of mental burden at the time of getting on and off the occupant is accurately quantified for each operation phase a1 to a6. The mental burden calculation data 30 can be created.

  In the first embodiment, each of the operation phases a1 to a6 includes the inner foot putting phase a1 for putting the inner foot into the vehicle, the seating phase a2 for sitting on the seat 22, and the outer feet remaining outside the vehicle inside the vehicle. Putting out an outer foot phase a3, an outer footing out phase a4 that takes out the outer foot from the state of being seated on the seat 22, a standing phase a5 that rises from the seat 22, and an inner foot remaining in the vehicle are taken out of the vehicle It is assumed that it consists of six phases including an internal extension phase a6. Accordingly, the seating phase a2 and the standing phase a5 in which the occupant feels relatively large, the inner footing phase a1 and the outer footing phase a3, the outer footing out phase a4, and the inner footing out phase a6 in which the sense of burden is relatively low Can be surely carved. Therefore, the design specification data optimizing unit 9 ensures the optimum design specification data Q that makes the total feeling of the occupant less than the allowable level even in the seating phase a2 and the standing-up phase a5 where the occupant has a heavy burden during the getting on and off operation. Can be determined.

(Embodiment 2)
In the second embodiment of the present invention, a mental burden feeling calculation process by the mental burden feeling estimation unit 8 (executed by the mental burden feeling estimation unit 8 in response to a calculation command from the main control unit 11 in step SA5 in FIG. 16). Calculation processing) is different from that of the first embodiment. In the following embodiment, the overall configuration of the vehicle design support system 100 (see FIG. 1) is such that information can be output from the getting on / off motion trajectory calculation unit 5 to the mental burden estimator 8. Except for this, it is the same as in the first embodiment.

That is, in the second embodiment, the mental burden estimator 8 uses the occupant (human body model JM) entry / exit motion trajectory calculated by the entrance / exit motion trajectory calculator 5 in each of the operation phases a1 to a6. And a design specification item Dn closely related to the estimated product is extracted for each operation phase a1 to a6, and the extracted design specification item Dn, based on the spirit burden calculation data 30 stored in the load calculation data storage unit 4 is configured to calculate the psychological burden M _a of each operation phase a1 to each a6.

  Specifically, the mental burden estimation unit 8 has a straight line h passing through the head center JC (see FIG. 4) and perpendicular to the straight line connecting the head center JC and the neck joint J1 as the sight line of the occupant. As a coincidence, a coordinate point where the straight line and the vehicle (virtual vehicle) intersect is calculated, and it is estimated that the vehicle component at the calculated coordinate point is an object ahead of the line of sight of the occupant. Here, if there are two or more objects ahead of the occupant's line of sight in each of the operation phases a1 to a6, the object having the closest distance from the head center is selected as the estimated object.

  Then, as described above, the mental burden estimator 8 uses the design specification item Dn having a deep relationship with the estimated object estimated to be ahead of the occupant's line of sight as the related design specification item Dk. Extracted for each of the operation phases a1 to a6. Here, which design specification item Dn is set as the related design specification item Dk for the estimated object is preset in the system design stage and stored in a predetermined area in the hard disk. In the present embodiment, for example, the related design specification item Dk having a deep relationship with the seat 22 (seat cushion) as the estimated object is the seat height D2. The related design specification item Dk is not limited to one, and may be two or more, for example.

Then, the mental burden estimator 8 determines the degree of influence of the related design specification item Dk extracted for each operation phase a1 to a6 on each of the entry / exit evaluation items A1 to A8. Read from. Then, based on the read data and the data corresponding to the related design specification item Dk in the design specification data Q stored in the design specification data storage unit 2, each operation phase at the time of the passenger's getting on / off operation The mental burden feeling M _a and the total mental burden feeling M a1 to a6 are calculated by the following expressions (18) and (14), respectively.

The psychological burden estimation unit 8 outputs the calculated mental burden information about M _a and total mental burden M of each operation phase a1 to each a6 total burden estimation unit 25.

  As described above, in the second embodiment, the mental burden estimator 8 is based on the motion trajectory calculated by the boarding / alighting motion trajectory calculator 5 and the vehicle is ahead of the occupant's line of sight in each of the motion phases a1 to a6. Estimating the component, and extracting data related to the estimated vehicle component from the design specification data Q (data corresponding to the related design specification item Dk related to the vehicle component) Based on the extracted data and the mental load calculation data 30, the feeling of mental burden for each of the operation phases a1 to a6 during the passenger's getting-on / off operation is estimated.

Thereby, it becomes possible to accurately estimate the psychological burden M _a of each operation phase a1 to each a6 when the occupant getting on and off operation at psychological burden estimation unit 8.

That is, the feeling of mental burden at the time of getting on and off the occupant is strongly influenced by visual information transmitted from the occupant's eyes to the brain, that is, an object visually recognized by the occupant during the getting on and off operation. Based on the motion trajectory calculated by the boarding / alighting motion trajectory calculation unit 5, the sense of burden estimation unit 8 applies the vehicle component that is ahead of the occupant's line of sight in the design specification data Q in each motion phase a1 to a6. and extract the relevant data, i.e. to extract data associated with visual information that affects the mental burden M _a, based on the data and spirit burden calculation data 30 the extracted passenger boarding operation the mental burden M _a of each operation phase a1 through every a6 is adapted to estimate. Therefore, it is possible to accurately reliably estimate the psychological burden M _a of each operation phase a1 to each a6 when the occupant getting on and off operation at psychological burden estimation unit 8, and by extension, the total burden The estimation unit 25 can calculate (estimate) the total burden feeling with higher accuracy. As a result, the design specification data optimizing unit 9 can obtain the optimum design specification data Q that can reliably reduce the total burden feeling during the actual getting-on / off operation of the occupant.

(Embodiment 3)
In the third embodiment of the present invention, a mental burden feeling calculation process by the mental burden feeling estimation unit 8 (executed by the mental burden feeling estimation unit 8 in response to a calculation command from the main control unit 11 in step SA5 in FIG. 16). Calculation processing) is different from those in the first and second embodiments.

  In other words, in the third embodiment, the mental burden estimation unit 8 uses the occupant (human body model JM) boarding / exiting motion trajectory calculated by the boarding / exiting motion trajectory calculation unit 5 in each of the motion phases a1 to a6. Estimate the contact that may come into contact with

  Then, the mental burden estimator 8 extracts the design specification item Dn having a deep relationship with the estimated contact object as the related design specification item Dk for each of the operation phases a1 to a6. Here, which design specification item Dn the extracted contact object has a deep relationship with is set in advance at the design stage and stored in a predetermined area in the hard disk. In the present embodiment, for example, the related design specification item Dk having a deep relationship with the seat 22 (seat cushion) as the contact object is the seat height D2. The related design specification item Dk is not limited to one, and may be two or more, for example.

Then, the mental burden estimator 8 calculates the degree of influence of the extracted related design specification item Dk on each of the entry / exit evaluation items A1 to A8 for each operation phase a1 to a6. Read from 30. Then, based on the read data and the data corresponding to the related design specification item Dk in the design specification data Q stored in the design specification data storage unit 2, each operation phase at the time of the passenger's getting on / off operation The mental burden feeling Ma and the total mental burden feeling M _{a for} each of a1 to a6 are calculated by the equations (18) and (14), respectively, and the information is output to the total burden feeling estimation unit 25.

  As described above, in Embodiment 3 described above, the mental burden estimator 8 is based on the occupant's motion trajectory calculated by the boarding / alighting motion trajectory calculator 5 in each of the motion phases a1 to a6. Estimate the vehicle component that may be touched and data related to the estimated vehicle component of the design specification data Q (data corresponding to the related design specification item Dk related to the vehicle component) Is extracted, and based on the extracted data and the mental burden calculation data 30, a feeling of mental burden for each of the operation phases a1 to a6 during the passenger's getting-on / off operation is estimated.

Thus, it is possible to estimate more accurately the psychological burden M _a for each operation phase a1 to a6 of the occupant in mental burden estimation unit 8. That mental burden M _a when the occupant getting on and off operation is strongly influenced by the tactile sensation due to the object to the occupant's body during getting on and off operation is in contact but, in Embodiment 3, in each operation phase a1 to a6 The vehicle component that the occupant may come into contact with when getting on and off the vehicle is estimated, and the data related to the estimated vehicle component is extracted from the design specification data Q, that is, the occupant feels data by extracting, on the basis of the data and the spirit burden calculation data 30 which the extracted, so as to estimate the psychological burden M _a of each operation phase a1 to each a6 when the occupant getting on and off operation ing. Therefore, it is possible to accurately reliably estimate the psychological burden M _a of each operation phase a1 to each a6 when the occupant getting on and off operation at psychological burden estimation unit 8, and by extension, the total burden The estimation unit 25 can calculate (estimate) the total burden feeling with higher accuracy. As a result, the design specification data optimizing unit 9 can obtain the optimum design specification data Q that can reliably reduce the total burden feeling during the actual getting-on / off operation of the occupant.

(Other embodiments)
The configuration of the present invention is not limited to the above embodiment, but includes various other configurations. In other words, in each of the above-described embodiments, the getting-on / off movement trajectory calculation unit 5 includes the values of the design specification items Dn output from the design specification data storage unit 2 and the human body characteristics output from the human body characteristic data storage unit 3. Based on the data, the operation locus when the passenger 21 gets in and out of the vehicle is output assuming that the door 21 is in the fully open state. However, the present invention is not limited to this. May be calculated according to the opening of the door 21. In this case, for example, a door opening setting unit (door opening setting means) capable of setting the door opening of the vehicle (virtual vehicle) is provided to the getting-on / off movement trajectory calculation unit 5 to open the door. What is necessary is just to calculate the movement locus | trajectory at the time of the passenger | crew's boarding / alighting operation | movement with respect to this virtual vehicle according to the door opening degree set in the degree setting part.

  In this way, the door opening degree of the virtual vehicle can be set by the door opening degree setting unit, and the operation locus at the time of the passenger getting on and off the virtual vehicle can be opened by the getting-on / off operation locus calculating unit 5. As a result, it is possible to calculate the movement locus of the occupant's getting-on / off operation with respect to the virtual vehicle according to the door opening degree by the burden feeling estimation section 26 (total burden feeling estimation section 25). Can be estimated. Thus, the design specification data optimization unit 9 can determine the optimum design specification data Q according to the door opening.

  Therefore, for example, when determining the optimum design specification data Q around the door for a vehicle that is assumed to be used in a place where there is relatively no surrounding space, the predicted door opening is set to the door opening setting. By the setting by the unit, the design specification data optimization unit 9 can determine the optimum design specification data Q suitable for the use of the vehicle.

  In each of the above embodiments, the mental burden calculation data 30 is created based on the questionnaire results. However, the present invention is not limited to this. For example, the mental burden calculation data 30 may be a plurality of vehicles prepared in advance. It may be created by getting on and off and analyzing the utterance content of each subject at the time of the getting-on / off operation based on the eight entry / exit evaluation items A1 to A8 extracted by the ISM method. That is, for example, the utterance phrases (words) associated with each of the above-described entry / exit evaluation items A1 to A8 are determined in advance, and whether or not the subject utters the utterance phrases in each operation phase a1 to a6 is determined. The mental burden calculation data 30 may be created based on the survey results. Specifically, first, a person's getting-on / off action of each subject is photographed with a camera, and words spoken by each subject are recorded with a voice microphone. Next, the utterance phrases uttered by the subject in each of the operation phases a1 to a6 are checked based on the video photographed by the camera and the words recorded by the audio microphone. Then, the mental burden calculation data 30 can be created by analyzing the checked result by the same method (method based on the number of influences) as the analysis of the questionnaire survey result described above. Note that this utterance phrase check may be performed by, for example, an analysis device capable of analyzing an audio signal.

In the above embodiments, the total burden estimation unit 25, the operation phase a1 to have said total burden ratio RS _a and calculate the total burden ratio RS _a of each operation phase a1 to each a6 occupant Although it is calculated as a total sense of burden (a magnitude of the total sense of burden) for each a6, the present invention is not limited to this. For example, each of the operation phases a1 to a calculated by the mental burden sense estimation unit 8 mental burden M _a for each a6, physical burden on converted to match the unit system, the physical burden W of each operation phase a1 to each a6 calculated in physical burden estimation unit 7 _It is also possible to add _a and calculate the total value as a total sense of burden. Specifically, assuming that the ratio of the physical burden feeling and the mental burden feeling to the total burden feeling at the time of getting on and off the occupant is 50% respectively, When the physical burden is calculated as 100 (Nms), the total mental burden is calculated as 100 (Nms) in terms of the physical burden. Then, if the mental burden ratio RM _a occupant in the seating phase a2 calculated in the total burden estimation unit 25 is, for example, a 30%, mental burden the occupant receives at the seating phase a2 is When converted to a physical burden, 30 (= 100 × 0.3) (Nms) is calculated. Therefore, if, when the occupant of the physical burden W _a in Chakuzai phase a2 calculated in physical burden estimation unit 7 is to be had been 30 (Nms), the total burden of passengers in the seating phase a2 is It is calculated as 60 (= 30 + 30) (Nms).

  Moreover, in each said embodiment, although the change priority of each design specification item Dn is set to the order with the influence which this design specification item Dn has on the external appearance of a vehicle, it is restricted to this. Instead, for example, the values may be set in ascending order of least influence on the manufacturing cost.

  INDUSTRIAL APPLICABILITY The present invention is useful for a vehicle design support system that determines design specification values around a vehicle door portion, and in particular, by evaluating the feeling of burden during a passenger's getting on and off operation by simulation, This is useful for systems that determine design specification values.

1 is a block diagram showing a schematic configuration of a vehicle design support system according to an embodiment of the present invention. It is a vehicle front view which shows the design specification around the door part for vehicles. It is a vehicle side view which shows the design specification around the door part for vehicles. This is a human body model for simulating an occupant in a vehicle design support system. It is a flowchart which shows the outline of the genetic algorithm used when calculating a motion locus | trajectory in a boarding / alighting motion locus | trajectory calculation part. It is explanatory drawing of GA operation in a genetic algorithm. It is explanatory drawing for calculating a joint torque based on a human body model in a joint torque calculation part. It is explanatory drawing for calculating a joint torque based on a human body model in a joint torque calculation part. It is a graph which shows the example of the movement locus | trajectory calculated in the getting on / off movement locus | trajectory calculation part. It is a graph which shows the example of the calculation result calculated in a physical burden estimation part. It is a correlation diagram which shows the boarding / exiting evaluation item which affects a passenger | crew's mental burden feeling. It is a figure which shows an example of the questionnaire paper used for the questionnaire survey for producing the data for mental burden calculation. It is a figure which shows an example of the data for mental burden calculation. It is a graph which shows the mental burden feeling ratio for every operation | movement phase in each vehicle used as the questionnaire object. It is a graph which shows the total burden ratio for every operation | movement phase calculated in the total burden feeling estimation part. It is a flowchart which shows the first half part of the design item optimization control process in a main control part. It is a flowchart which shows the latter half part of the design item optimization control process in a main control part.

2 Design specification data storage unit (design specification data storage means)
3 Human body characteristic data storage unit (human body characteristic data storage means)
4. Mental burden calculation data storage unit (mental burden calculation data storage means)
5. Getting on / off motion trajectory calculation unit (getting / getting motion trajectory calculating means)
6 Joint torque calculation unit (joint torque calculation means, physical burden calculation means
, Burden calculation means)
7 Physical burden estimation section (physical burden calculation means, burden calculation means)
8 Mental burden estimation section (mental burden calculation means, burden calculation means)
9 Design specification data optimization section (design specification data optimization means)
10 Result display section (output means)
11 Main controller (design data optimization means)
21 Door 25 Total burden estimation part (burden feeling calculation means)
26 Burden sensation estimation unit (burden sensation calculation means)
30 Psychological burden calculation data 100 Vehicle design support system a1 Internal footing phase a2 Seating phase a3 External footing phase a4 External footing phase a5 Standing phase a6 Internal footing phase m1 Head weight (human body characteristic data)
m2 chest weight (human body characteristic data)
r1 Moment arm length (human body characteristic data)
r2 Moment arm length (human body characteristic data)
I ₁ Moment of inertia of the head I ₂ Moment of inertia of the chest Dn Design specification Q Design specification data JM Human body model M _a Mental burden W _a Physical sense of burden

Claims (11)

A vehicle design support system that determines a design specification value around a vehicle door by evaluating a feeling of burden at the time of getting on and off of a vehicle occupant by simulation,
Human body characteristic data storage means for storing human body characteristic data relating to a human body model simulating the occupant;
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data Boarding and exiting motion trajectory calculating means for calculating the motion trajectory by simulating the passenger's getting on and off motion with respect to the virtual vehicle having the human body model,
Assuming that the occupant's getting-on / off operation with respect to the virtual vehicle is composed of a plurality of operation phases, the magnitude of the feeling of burden for each operation phase at the time of the occupant's getting-on / off operation is calculated using the operation locus calculated by the getting-on / off operation locus calculating means A sense of burden calculation means for calculating numerically based on the basis,
Design specifications for determining design specification data satisfying the target condition that the magnitude of the sense of burden for each operation phase calculated by the burden calculation means is less than or equal to the set threshold value set for each operation phase. Original data optimization means,
Output means for outputting the design specification data determined by the design specification data optimization means ,
The design specification data optimizing means extracts an operation phase in which the magnitude of the burden feeling calculated by the burden feeling calculation means exceeds the set threshold among the plurality of operation phases. After extracting a plurality of related design specification items, the design specification items to be changed are selected in order according to a predetermined priority from the extracted plurality of design specification items, and for each selection. The design specification data is changed by changing a data value corresponding to the selected design specification item in the temporary design specification data stored by the design specification data storage means within a predetermined range with a predetermined step size. A design support system for a vehicle characterized by being configured to search and determine design specification data that satisfies the target condition while being updated . A vehicle design support system that determines a design specification value around a vehicle door by evaluating a feeling of burden at the time of getting on and off of a vehicle occupant by simulation,
Human body characteristic data storage means for storing human body characteristic data relating to a human body model simulating the occupant;
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data Boarding and exiting motion trajectory calculating means for calculating the motion trajectory by simulating the passenger's getting on and off motion with respect to the virtual vehicle having the human body model,
Assuming that the occupant's getting-on / off operation with respect to the virtual vehicle is composed of a plurality of operation phases, the magnitude of the feeling of burden for each operation phase at the time of the occupant's getting-on / off operation is calculated using the operation locus calculated by the getting-on / off operation locus calculating means. A sense of burden calculation means for calculating numerically based on the basis,
Design specifications for determining design specification data satisfying the target condition that the magnitude of the sense of burden for each operation phase calculated by the burden calculation means is less than or equal to the set threshold value set for each operation phase. Original data optimization means,
Output means for outputting the design specification data determined by the design specification data optimization means,
The occupant's feeling of burden when getting on and off is composed of physical and mental burden,
The spirit of storing mental burden calculation data in which the degree of influence of changes in the values of each design specification item around the vehicle door portion on the feeling of mental burden at the time of getting on and off the occupant is quantified for each operation phase. A load calculating data storage means;
The burden sensation calculating means is based on the movement trajectory calculated by the getting on / off movement trajectory calculating means and the provisional design specification data stored in the design specification data storage means, and the passenger gets on and off the virtual vehicle. Physical burden calculation means for calculating and calculating the magnitude of physical burden for each motion phase during movement, mental burden calculation data stored in the mental burden calculation data storage means, and the design parameters Based on the temporary design specification data stored by the original data storage means, the mental burden calculation is performed by quantifying and calculating the mental burden for each operation phase when the occupant gets on and off the virtual vehicle. Means for calculating the physical burden for each motion phase calculated by the physical burden calculation means and each motion calculated by the mental burden calculation means. Based on the magnitude of the mental burden for each phase, the vehicle is configured to calculate the magnitude of the burden for each operation phase when the occupant moves in and out of the virtual vehicle. Design support system. A vehicle design support system that determines a design specification value around a vehicle door by evaluating a feeling of burden at the time of getting on and off of a vehicle occupant by simulation,
Human body characteristic data storage means for storing human body characteristic data relating to a human body model simulating the occupant;
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data Boarding and exiting motion trajectory calculating means for calculating the motion trajectory by simulating the passenger's getting on and off motion with respect to the virtual vehicle having the human body model,
Assuming that the occupant's getting-on / off operation with respect to the virtual vehicle is composed of a plurality of operation phases, the magnitude of the feeling of burden for each operation phase at the time of the occupant's getting-on / off operation is calculated using the operation locus calculated by the getting-on / off operation locus calculating means. A sense of burden calculation means for calculating numerically based on the basis,
Design specifications for determining design specification data satisfying the target condition that the magnitude of the sense of burden for each operation phase calculated by the burden calculation means is less than or equal to the set threshold value set for each operation phase. Original data optimization means,
Output means for outputting the design specification data determined by the design specification data optimization means,
The plurality of operation phases include an inner foot putting phase in which an occupant puts an inner foot into the vehicle, a seating phase in which the occupant sits in a seat, an outer foot putting phase in which an outer foot remaining outside the vehicle is put in the vehicle, and a seat in the seat It is composed of six operation phases: an outer footing phase in which the outer foot is brought out of the vehicle from the state of being in a state of standing, a standing phase rising from the seat, and an inner footing phase in which the inner foot remaining in the vehicle is brought out of the vehicle. Design support system for vehicles. A vehicle design support system that determines a design specification value around a vehicle door by evaluating a feeling of burden at the time of getting on and off of a vehicle occupant by simulation,
Human body characteristic data storage means for storing human body characteristic data relating to a human body model simulating the occupant;
Design specification data storage means for storing temporary design specification data around the vehicle door;
Based on the human body characteristic data stored by the human body characteristic data storage means and the temporary design specification data stored by the design specification data storage means, the design specification values corresponding to the temporary design specification data Boarding and exiting motion trajectory calculating means for calculating the motion trajectory by simulating the passenger's getting on and off motion with respect to the virtual vehicle having the human body model,
Assuming that the occupant's getting-on / off operation with respect to the virtual vehicle is composed of a plurality of operation phases, the magnitude of the feeling of burden for each operation phase at the time of the occupant's getting-on / off operation is calculated using the operation locus calculated by the getting-on / off operation locus calculating means. A sense of burden calculation means for calculating numerically based on the basis,
Design specifications for determining design specification data satisfying the target condition that the magnitude of the sense of burden for each operation phase calculated by the burden calculation means is less than or equal to the set threshold value set for each operation phase. Original data optimization means,
Output means for outputting the design specification data determined by the design specification data optimization means,
The getting-on / off movement trajectory calculating means has door opening setting means capable of setting the door opening of the virtual vehicle, and the virtual opening / closing movement trajectory calculating means corresponds to the virtual opening according to the door opening set by the door opening setting means. A vehicle design support system configured to be able to calculate an operation trajectory when an occupant gets in and out of a vehicle. In the vehicle design support system according to any one of claims 1, 3, and 4,
The occupant's feeling of burden when getting on and off is composed of physical and mental burden,
The spirit of storing mental burden calculation data in which the degree of influence of changes in the values of each design specification item around the vehicle door portion on the feeling of mental burden at the time of getting on and off the occupant is quantified for each operation phase. A load calculating data storage means;
The burden sensation calculating means is based on the movement trajectory calculated by the getting on / off movement trajectory calculating means and the provisional design specification data stored in the design specification data storage means, and the passenger gets on and off the virtual vehicle. Physical burden calculation means for calculating and calculating the magnitude of physical burden for each motion phase during movement, mental burden calculation data stored in the mental burden calculation data storage means, and the design parameters Based on the temporary design specification data stored by the original data storage means, the mental burden calculation is performed by quantifying and calculating the mental burden for each operation phase when the occupant gets on and off the virtual vehicle. Means for calculating the physical burden for each motion phase calculated by the physical burden calculation means and each motion calculated by the mental burden calculation means. Based on the magnitude of the mental burden for each phase, the vehicle is configured to calculate the magnitude of the burden for each operation phase when the occupant moves in and out of the virtual vehicle. Design support system. The vehicle design support system according to claim 2 or 5 ,
The getting-on / off movement trajectory calculating means is configured to calculate an action trajectory at the time of an occupant's getting on / off operation with respect to the virtual vehicle so that a time integral value of a joint torque around a predetermined joint at the time of the occupant's getting on / off operation is minimized. And
The physical burden calculation means includes a joint torque calculation means for calculating a joint torque around the predetermined joint during an occupant's getting-on / off operation based on the action locus calculated by the getting-on / off action locus calculating means. The time integral value for each operation phase of the joint torque calculated by the joint torque calculation means is calculated as the magnitude of the physical burden at the time of the passenger's getting on and off operation in each operation phase. This is a vehicle design support system. In the vehicle design support system according to any one of claims 2, 5, and 6 ,
The mental burden calculation means estimates the vehicle components around the vehicle door part ahead of the occupant's line of sight in each operation phase, based on the movement trajectory calculated by the getting on / off movement trajectory calculation means. Extracting the data related to the estimated vehicle component from the temporary design specification data stored by the design specification data storage means, based on the extracted data and the mental burden calculation data, A design support system for a vehicle, characterized in that the magnitude of the mental burden for each operation phase when the occupant gets in and out of the virtual vehicle is quantified and calculated. In the vehicle design support system according to any one of claims 2, 5, and 6 ,
The mental burden calculation means is based on the passenger's movement trajectory calculated by the boarding / exiting movement trajectory calculation means. And the data related to the estimated vehicle component is extracted from the temporary design specification data stored by the design specification data storage means, and the extracted data and the mental burden are extracted. Based on the calculation data, the vehicle design is characterized in that the magnitude of the mental burden for each operation phase at the time of occupant's getting on and off the virtual vehicle is quantified and calculated. Support system. In the vehicle design support system according to any one of claims 2 and 5-8 ,
The mental load calculation data is obtained by getting a plurality of subjects on and off a plurality of vehicles prepared in advance, and for each of the subjects, a plurality of evaluation items that affect the feeling of mental burden at the time of a passenger's getting on and off operation. A vehicle design support system characterized in that it is data created by conducting a questionnaire survey based on the results and analyzing the results. In the vehicle design support system according to any one of claims 2 and 5-8 ,
The mental burden calculation data includes a plurality of subjects who get on and off a plurality of vehicles prepared in advance, and the utterance contents at the time of the getting on and off of each subject are affected by the mental burden at the time of the passenger getting on and off. A vehicle design support system, characterized in that the data is created by analysis based on an entry / exit evaluation item. The vehicle design support system according to claim 9 or 10 ,
The above-mentioned multiple entry / exit evaluation items are based on eight items extracted by the ISM method: body harmony, physical openness, stability, spatial comfort, intention realization, motion suitability, tactile sensation, and security. A vehicle design support system.

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