CN113887070A - Vehicle ride comfort analysis method, device and equipment and storage medium - Google Patents

Vehicle ride comfort analysis method, device and equipment and storage medium Download PDF

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CN113887070A
CN113887070A CN202111230983.4A CN202111230983A CN113887070A CN 113887070 A CN113887070 A CN 113887070A CN 202111230983 A CN202111230983 A CN 202111230983A CN 113887070 A CN113887070 A CN 113887070A
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ride comfort
vehicle
mass
comfort analysis
parameters
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季红丽
窦德海
马先进
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Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely New Energy Commercial Vehicle Group Co Ltd
Zhejiang Remote Commercial Vehicle R&D Co Ltd
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Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely New Energy Commercial Vehicle Group Co Ltd
Zhejiang Remote Commercial Vehicle R&D Co Ltd
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract

The invention relates to the technical field of vehicles, and discloses a method, a device, equipment and a storage medium for analyzing vehicle ride comfort, wherein the method comprises the following steps: acquiring vehicle parameters of a vehicle to be analyzed; inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body; and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter. According to the method, the ride comfort analysis result of the vehicle to be analyzed can be quickly obtained only by inputting the vehicle parameters of the vehicle to be analyzed into the vehicle ride comfort analysis model for on-line ride comfort analysis, so that the speed of the vehicle ride comfort analysis is increased, the vehicle ride comfort analysis is conveniently and quickly carried out, and the popularization rate and the intelligent degree of the vehicle ride comfort analysis are also increased.

Description

Vehicle ride comfort analysis method, device and equipment and storage medium
Technical Field
The invention relates to the technical field of vehicles, in particular to a method, a device, equipment and a storage medium for analyzing vehicle ride comfort.
Background
The vehicle smoothness refers to the performance of resisting generated vibration and impact during the running process of a vehicle, and is also one of the main measurement indexes for ensuring that a driver and a passenger cannot feel uncomfortable and fatigued due to the vibration and the impact of the vehicle body and keeping the transported goods intact. Therefore, in vehicle design, especially in suspension design, it is the primary task to ensure good vehicle ride comfort for the vehicle.
In the prior art, the main parameters for measuring the smoothness of the vehicle are obtained through complex theoretical analysis, multi-body dynamic analysis and real vehicle test. However, in the specific implementation, when an engineer optimizes the design of the managed system and the components, it is impossible to timely determine which part of the managed system or the components affects the smoothness, and a large amount of theoretical calculation, multi-body analysis, real vehicle tests and the like are often required, so that not only is additional economic expenditure increased, but also the response period is long, and meanwhile, due to various objective reasons, the possibility of inconsistent results exists, thereby affecting the judgment. Therefore, how to conveniently and rapidly perform online smoothness analysis on the vehicle to improve the popularity and the intelligent degree of the online analysis of the vehicle smoothness becomes a problem to be solved urgently.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for analyzing the smoothness of a vehicle, and aims to solve the technical problem of how to conveniently and quickly analyze the smoothness of the vehicle on line so as to improve the popularization rate and the intelligent degree of the online analysis of the smoothness of the vehicle.
In order to achieve the above object, the present invention provides a vehicle ride comfort analyzing method, comprising the steps of:
acquiring vehicle parameters of a vehicle to be analyzed;
inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body;
and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
Optionally, the step of inputting the vehicle parameters into a vehicle ride comfort analysis model which is constructed in advance to perform online ride comfort analysis to obtain ride comfort parameters includes:
and inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model, and calculating ride comfort parameters according to a sprung mass mechanical relation and an unsprung mass mechanical relation corresponding to the vehicle ride comfort analysis model.
Optionally, the vehicle parameters include sprung mass, unsprung mass, spring stiffness, tire stiffness, damper damping, and impact load;
the ride comfort parameters include sprung mass acceleration, sprung mass velocity, sprung mass displacement, unsprung mass acceleration, unsprung mass velocity, and unsprung mass displacement.
Optionally, the sprung mass-mechanical relationship is,
Msas＝f–Cs(Vs-Vu)–Ks(Xs-Xu)
in the formula, MsIs a sprung mass, asIs sprung mass acceleration, f is impact load, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuIs the unsprung mass displacement.
Optionally, the unsprung mass-mechanics relationship is,
Mu*au＝Cs(Vs-Vu)+Ks(Xs-Xu)–Kt(Xu-Xg)
in the formula, MuIs an unsprung mass, auFor unsprung mass acceleration, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuFor unsprung mass displacement, KtFor tire stiffness, XuFor unsprung mass displacement, XgAnd exciting the displacement for the road surface.
Optionally, the step of outputting the ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter includes:
acquiring the parameter type of the smoothness parameter, and matching a corresponding chart display format according to the parameter type;
and converting the smoothness parameter into a corresponding smoothness parameter chart according to the chart display format, and outputting the smoothness parameter chart.
Optionally, after the step of outputting the result of the ride comfort analysis of the vehicle to be analyzed according to the ride comfort parameter, the method further includes:
storing the ride comfort analysis result to a ride comfort analysis database;
and displaying a corresponding smoothness data query result according to the smoothness data query instruction when the smoothness data query instruction input by the user based on the smoothness analysis database is received.
In addition, to achieve the above object, the present invention also provides a vehicle ride comfort analysis device including:
the parameter acquisition module is used for acquiring the whole vehicle parameters of the vehicle to be analyzed;
the ride comfort analysis module is used for inputting the finished automobile parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of an automobile body;
and the result output module is used for determining the ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
Further, to achieve the above object, the present invention also proposes a vehicle ride comfort analyzing apparatus, comprising: a memory, a processor, and a vehicle ride comfort analysis program stored on the memory and executable on the processor, the vehicle ride comfort analysis program configured to implement the steps of the vehicle ride comfort analysis method as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having a vehicle ride comfort analysis program stored thereon, wherein the vehicle ride comfort analysis program, when executed by a processor, implements the steps of the vehicle ride comfort analysis method as described above.
According to the invention, the whole vehicle parameters of the vehicle to be analyzed are obtained; inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body; and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter. Compared with the prior art that when an engineer carries out design optimization on the managed system and the parts, the engineer cannot timely confirm which part of the managed system or the parts affects the smoothness, a large amount of theoretical calculation, multi-body analysis, real vehicle testing and the like are often required, extra economic expenditure is increased, the response period is long, and meanwhile, the possibility of inconsistent results exists due to various objective reasons, so that judgment is affected. The invention releases the engineer from complicated theoretical calculation, simulation analysis and test result waiting, so that the engineer is not limited by regions and equipment, can quickly obtain the ride comfort analysis result of the vehicle to be analyzed only by inputting the vehicle parameters of the vehicle to be analyzed, which are input by a user, into the vehicle ride comfort analysis model to perform on-line ride comfort analysis, and can know the influence of the change of each ride comfort parameter on the ride comfort of the vehicle in time, thereby improving the speed of vehicle ride comfort analysis, ensuring the accuracy and consistency of the obtained ride comfort analysis result, realizing convenient and rapid ride comfort analysis of the vehicle, and improving the popularization rate, the networking degree and the intelligent degree of the vehicle ride comfort analysis.
Drawings
FIG. 1 is a schematic flow chart illustrating a vehicle ride comfort analysis method according to a first embodiment of the present invention;
FIG. 2 is a diagram illustrating an interface of a preset parameter input interface according to a first embodiment of the method for vehicle ride comfort analysis of the present invention;
FIG. 3 is a 1/4 schematic diagram of vehicle body vibration according to a first embodiment of the method for analyzing vehicle ride comfort of the present invention;
FIG. 4 is a schematic model diagram of a vehicle ride comfort analysis model according to a first embodiment of the vehicle ride comfort analysis method of the present invention;
FIG. 5 is a schematic view of a link between a model and a network I/O interface according to a first embodiment of a vehicle ride comfort analysis method of the present invention;
FIG. 6 is a smoothness parameter diagram of a vehicle smoothness analysis method according to a first embodiment of the present invention;
fig. 7 is a schematic structural diagram of a vehicle ride comfort analysis apparatus according to a hardware operating environment according to an embodiment of the present invention;
fig. 8 is a block diagram illustrating a vehicle ride comfort analysis apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
An embodiment of the invention provides a vehicle ride comfort analysis method, and referring to fig. 1, fig. 1 is a schematic flow diagram of a first embodiment of the vehicle ride comfort analysis method.
In this embodiment, the vehicle ride comfort analysis method includes the following steps:
step S10: acquiring vehicle parameters of a vehicle to be analyzed;
it will be readily appreciated that vehicle parameters may be understood as parameters that may be used to perform vehicle ride comfort analysis, including but not limited to sprung mass MsUnsprung mass MuSpring rate KsTire stiffness KtDamper CsAnd an impact load f, wherein the sprung mass MsAlso known as sprung mass, is understood to be the mass carried by the elastic elements of the suspension (including the spring and the damper), i.e. the mass of all the parts above the suspension; unsprung mass MuAlso known as unsprung mass, is understood to be the mass of the component extending from the swing arm or spring element of the suspension towards the wheel end, i.e. the mass of all parts below the suspension. In short, the part that can move with the wheel is the unsprung mass, while the part that can only remain relatively stationary with the vehicle body is the sprung mass. The impact load f is a force in a vertical upward direction generated by an impact on a road surface or the like.
In a specific implementation, the vehicle parameters of the vehicle to be analyzed can be obtained through data input by a user on a preset parameter input interface, namely, an interface for the user to input the vehicle parameters of the vehicle to be analyzed.
Referring to fig. 2, fig. 2 is an interface display diagram of a preset parameter input interface according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 2, (1) is an interface when no parameter is input into the preset parameter input interface, and (2) is an interface when a parameter is input into the preset parameter input interface, where the vehicle parameters that can be input into the preset parameter input interface include: input Force (i.e. impact load f, in N), e.g. 0.00N, spring rate Ks(unit N/m), e.g. 22000.00N/m, shock absorber damping Cs(units Ns/M), e.g. 1500.00Ns/M, spring Mass MsIn kg), e.g., 400.00kg, Unspring Mass (i.e. unsprung Mass M)uIn kg), e.g., 47.75kg, tire stiffness Kt(unit N/m), e.g., 23900.00N/m, Step Time (Step start Time, unit s), i.e., start Time of the road surface excitation Simulation analysis, e.g., 0.50s, Step Initial Value, i.e., Initial position Value of amplitude, Step Final Value, i.e., steady position Value of amplitude, and Simulation Time (Simulation Time, unit s), i.e., total Time of the road surface excitation Simulation analysis, e.g., 5 s.
Step S20: inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body;
it should be noted that, after obtaining the vehicle parameters, the vehicle parameters may be input into a vehicle ride comfort analysis model for on-line ride comfort analysis to obtain ride comfort parameters, and in specific implementation, the vehicle parameters may be input into a vehicle ride comfort analysis model constructed in advance to calculate ride comfort parameters according to a sprung mass mechanical relationship and an unsprung mass mechanical relationship corresponding to the vehicle ride comfort analysis model, where the ride comfort parameters include, but are not limited to, sprung mass acceleration asSprung mass velocity VsSprung mass displacement XsUnsprung mass acceleration auUnsprung mass velocity VuAnd unsprung mass displacement XuAnd establishing the vehicle ride comfort analysis model based on a sprung mass mechanical relation and an unsprung mass mechanical relation of the vehicle body.
Referring to fig. 3, fig. 3 is a schematic diagram of 1/4 vehicle body vibration according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
Based on the 1/4 vehicle body vibration principle shown in fig. 3, defining the vertical upward direction as the positive direction, a sprung mass mechanical relation and an unsprung mass mechanical relation of the vehicle body can be constructed, wherein the sprung mass mechanical relation is,
Msas＝f–Cs(Vs-Vu)–Ks(Xs-Xu)
in the formula, MsIs a sprung mass, asIs sprung mass acceleration, f is impact load, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuIs the unsprung mass displacement.
The unsprung mass-mechanical relationship is as follows,
Mu*au＝Cs(Vs-Vu)+Ks(Xs-Xu)–Kt(Xu-Xg)
in the formula, MuIs an unsprung mass, auFor unsprung mass acceleration, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuFor unsprung mass displacement, KtFor tire stiffness, XuFor unsprung mass displacement, XgAnd exciting the displacement for the road surface. Wherein the sprung mass velocity Vs>Unsprung mass velocity Vu>Road surface excitation speed VgSprung mass displacement Xs>Unsprung mass displacement Xu>Road surface excitation displacement Xg。
Referring to fig. 4, fig. 4 is a schematic model diagram of a vehicle ride comfort analysis model according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 4, the vehicle ride comfort analysis model may be constructed based on the sprung mass-mechanical relation and the unsprung mass-mechanical relation to improve the intelligent degree of the on-line analysis of vehicle ride comfort, where the impact load f may be set to 0.00N, and the sprung mass MsCan be set to 400.00kg, spring rate KsCan be set to 22000.00N/m, and the damping of the shock absorber is CsCan be set to 1500.00Ns/M, and unsprung mass MuCan be set to 47.75kg, and the tire rigidity KtCan be set to 23900.00N/m. The vehicle ride comfort analysis model comprises 4 integrators (namely, integrators 1, integrators 2 and integrators 3) for derivation and 6 working areas (namely, works pace1, works pace2, works pace3, works pace4 and works pace5) for outputting results, wherein the works pace corresponds to step time t, and the works pace1 corresponds to sprung mass acceleration asWorkspace2 corresponds to a sprung mass displacement XsWorkspace3 corresponds to unsprung mass displacement XuWorkspace4 corresponds to tirefore (force to which a tire is subjected), K in an unsprung mass-mechanical relationshipt(Xu-Xg) Workspace5 corresponds to sprung mass velocity Vs。
Referring to fig. 5, fig. 5 is a schematic view illustrating a link between a model and a network input/output interface according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 5, the link portion shown in the area (c) corresponds to the vehicle ride comfort analysis model shown in fig. 4, and the link portion shown in the area (c) is a network input interface for receiving a vehicle parameter input by a user, such as the sprung mass MsUnsprung mass MuSpring rate KsTire stiffness KtDamper CsAnd impact load f, the connecting part shown in the region III is a network input interface for outputting smoothness parameters, such as spring Mass Displacement Xs) Spring Mass Velocity (i.e., Sprung Mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u) Unrespbrung Mass Velocity (i.e., Unsprung Mass Velocity V)u) Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u)。
Step S30: and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
It is easy to understand that after the ride comfort parameters are obtained, the parameter types of the ride comfort parameters can be obtained, and the corresponding chart display formats are matched according to the parameter types, wherein the parameter types include spring-loaded parameters and unsprung parameters, that is, the ride comfort parameters can be divided into parameters related to spring loading (such as sprung mass acceleration, sprung mass velocity and sprung mass displacement) and parameters related to unsprung loading (such as unsprung mass acceleration, unsprung mass velocity and unsprung mass displacement), and the chart display formats can be line colors of the chart (such as different line colors configured for waveform curves corresponding to different parameters in the parameter chart according to different parameter types), border colors (such as different border colors configured for borders corresponding to different parameters in the parameter chart according to different parameter types), Line widths (for example, different line widths are configured for the waveform curves corresponding to different parameters in the parameter graph according to different parameter types, or different line widths are configured for the frames corresponding to different parameters in the parameter table according to different parameter types), and the like, and then the smoothness parameters are converted into corresponding smoothness parameter graphs according to the graph display format, and the smoothness parameter graphs are output.
For example, the ride comfort parameter may be divided into sprung mass MsCorresponding spring Mass Displacement (i.e., Sprung Mass Displacement X)s) Spring Mass Velocity (i.e., Sprung Mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) And unsprung mass MuCorresponding Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u) Unrespbrung Mass Velocity (i.e., Unsprung Mass Velocity V)u) Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u) When the above-mentioned smoothness parameters are converted into the corresponding smoothness parameter map, the spring Mass Displacement X can be useds) Spring Mass Velocity (i.e., Sprung Mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) Setting the corresponding waveform curve to be yellow, and outputting a corresponding sprung mass displacement smoothness parameter map, a sprung mass speed smoothness parameter map and a sprung mass acceleration smoothness parameter map; will Unsrung Mass Displacement (i.e., Unsprung Mass Displacement X)u) Unrespbrung Mass Velocity (i.e., Unsprung Mass Velocity V)u)，Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u) The corresponding waveform curve is set to be blue, and a corresponding unsprung mass displacement smoothness parameter map, an unsprung mass velocity smoothness parameter map and an unsprung mass acceleration smoothness parameter map are output.
Referring to fig. 6, fig. 6 is a smoothness parameter diagram relating to a first embodiment of a vehicle smoothness analysis method of the present invention, and in fig. 6, (a) is a Sprung Mass Displacement smoothness parameter diagram for characterizing a spring Mass Displacement (Sprung Mass Displacement X)s) The (b) figure is a spring-loaded Mass Velocity smoothness parameter graph used for representing the spring-loaded Mass Velocity (namely the spring-loaded Mass Velocity V)s) The (c) graph is a spring-loaded Mass acceleration smoothness parameter graph and is used for representing the spring Mass ACC (namely the spring-loaded Mass acceleration a)s) Amplitude (Amplitude) variation with Simulation Time; in FIG. 6, (d) is an Unsprung Mass Displacement smoothness parameter graph used to characterize the Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u) The (e) diagram is an Unsprung Mass Velocity smoothness parameter diagram used for representing Unsprung Mass Velocity (i.e. Unsprung Mass Velocity V) along with the Amplitude (Amplitude) change condition of Simulation Timeu) The (f) figure is an Unsprung Mass acceleration smoothness parameter figure used for representing Unsprung Mass ACC (Unsprung Mass acceleration a)u) Amplitude (Amplitude) variation with Simulation Time. Therefore, the sprung mass M can be conveniently, quickly and intuitively obtained from the output smoothness parameter diagramsCorresponding sprung mass displacement XsSprung mass velocity VsAcceleration of sprung mass asUnsprung mass MuCorresponding unsprung mass displacement XuUnsprung mass velocity VuUnsprung mass acceleration auThe vibration attenuation situation of the vehicle can be further judged, and the influence of the parameter change on the smoothness of the vehicle can be further judged, so that a user can quickly and effectively design the vehicleAnd (6) optimizing the rows.
In the concrete implementation, in order to realize the sharing of the on-line analysis data of the vehicle ride comfort and improve the popularity of the on-line analysis of the vehicle ride comfort, when the ride comfort analysis result of the vehicle to be analyzed is obtained, the ride comfort analysis result can be stored in a ride comfort analysis database, a large number of real-time updated ride comfort analysis results are stored in the ride comfort analysis database, after the user passes identity verification, the user can query the ride comfort data based on the ride comfort analysis database, in the concrete implementation, when the user receives a ride comfort data query instruction input by the user based on the ride comfort analysis database, the corresponding ride comfort data query result can be displayed according to the ride data query instruction, and the ride data query instruction can be understood as the ride comfort analysis result, corresponding to different vehicle types, input by the user, And the influence of each ride comfort parameter on the vehicle ride comfort and the like.
In the embodiment, the whole vehicle parameters of the vehicle to be analyzed are obtained; inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body; and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter. Compared with the prior art that when an engineer carries out design optimization on the managed system and the parts, the engineer cannot timely confirm which part of the managed system or the parts affects the smoothness, a large amount of theoretical calculation, multi-body analysis, real vehicle testing and the like are often required, extra economic expenditure is increased, the response period is long, and meanwhile, the possibility of inconsistent results exists due to various objective reasons, so that judgment is affected. This embodiment is with the engineer from loaded down with trivial details theoretical calculation, release out in simulation analysis and the test result waits, make it not restricted by region and equipment, only carry out on-line ride comfort analysis in whole car parameter input to the vehicle ride comfort analysis model with the vehicle of waiting to analyze of user input, can obtain the ride comfort analysis result of waiting to analyze the vehicle fast, and know each ride comfort parameter variation in time and to the influence of vehicle ride comfort, the speed of vehicle ride comfort analysis has been promoted, the accurate uniformity of the ride comfort analysis result who obtains has also been guaranteed, convenient and fast ground has been realized carrying out the ride comfort analysis to the vehicle, the vehicle ride comfort analysis's prevalence has also been improved, networking degree and intelligent degree.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a vehicle ride comfort analysis device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 7, the vehicle ride comfort analyzing apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 7 does not constitute a limitation of the vehicle ride comfort analysis apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 7, a memory 1005, which is a storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a vehicle ride comfort analysis program.
In the vehicle ride comfort analyzing apparatus shown in fig. 7, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the vehicle ride comfort analysis device according to the present invention may be provided in the vehicle ride comfort analysis device, which calls the vehicle ride comfort analysis program stored in the memory 1005 through the processor 1001 and executes the vehicle ride comfort analysis method according to the embodiment of the present invention.
In addition, an embodiment of the present invention further provides a storage medium, where a vehicle ride comfort analysis program is stored, and when the vehicle ride comfort analysis program is executed by a processor, the steps of the vehicle ride comfort analysis method described above are implemented.
Referring to fig. 8, fig. 8 is a block diagram illustrating a vehicle ride comfort analysis apparatus according to a first embodiment of the present invention.
As shown in fig. 8, a vehicle ride comfort analysis apparatus according to an embodiment of the present invention includes:
the parameter acquisition module 10 is used for acquiring the whole vehicle parameters of the vehicle to be analyzed;
it will be readily appreciated that vehicle parameters may be understood as parameters that may be used to perform vehicle ride comfort analysis, including but not limited to sprung mass MsUnsprung mass MuSpring rate KsTire stiffness KtDamper CsAnd an impact load f, wherein the sprung mass MsAlso known as sprung mass, is understood to be the mass carried by the elastic elements of the suspension (including the spring and the damper), i.e. the mass of all the parts above the suspension; unsprung mass MuAlso known as unsprung mass, is understood to be the mass of the component extending from the swing arm or spring element of the suspension towards the wheel end, i.e. the mass of all parts below the suspension. In short, the part that can move with the wheel is the unsprung mass, while the part that can only remain relatively stationary with the vehicle body is the sprung mass. The impact load f is a force in a vertical upward direction generated by an impact on a road surface or the like.
In a specific implementation, the vehicle parameters of the vehicle to be analyzed can be obtained through data input by a user on a preset parameter input interface, namely, an interface for the user to input the vehicle parameters of the vehicle to be analyzed.
Referring to fig. 2, fig. 2 is an interface display diagram of a preset parameter input interface according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 2, (1) is an interface when no parameter is input into the preset parameter input interface, and (2) is an interface when a parameter is input into the preset parameter input interface, where the vehicle parameters that can be input into the preset parameter input interface include: input Force (i.e. impact load f, in N), e.g. 0.00N, spring rate Ks(unit N/m), e.g. 22000.00N/m, shock absorber damping Cs(units Ns/M), e.g. 1500.00Ns/M, spring Mass MsIn kg), e.g., 400.00kg, Unsrung Mass (i.e., Unsprung Mass M)uIn kg), e.g., 47.75kg, tire stiffness Kt(unit N/m), e.g., 23900.00N/m, Step Time (Step start Time, unit s), i.e., start Time of the road surface excitation Simulation analysis, e.g., 0.50s, Step Initial Value, i.e., Initial position Value of amplitude, Step Final Value, i.e., steady position Value of amplitude, and Simulation Time (Simulation Time, unit s), i.e., total Time of the road surface excitation Simulation analysis, e.g., 5 s.
The ride comfort analysis module 20 is used for inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body;
it should be noted that, after obtaining the vehicle parameters, the vehicle parameters may be input into a vehicle ride comfort analysis model for on-line ride comfort analysis to obtain ride comfort parameters, and in specific implementation, the vehicle parameters may be input into a vehicle ride comfort analysis model constructed in advance to calculate ride comfort parameters according to a sprung mass mechanical relationship and an unsprung mass mechanical relationship corresponding to the vehicle ride comfort analysis model, where the ride comfort parameters include, but are not limited to, sprung mass acceleration asSprung mass velocity VsSprung mass displacement XsUnsprung mass acceleration auUnsprung mass velocity VuAnd unsprung mass displacement XuAnd establishing the vehicle ride comfort analysis model based on a sprung mass mechanical relation and an unsprung mass mechanical relation of the vehicle body.
Referring to fig. 3, fig. 3 is a schematic diagram of 1/4 vehicle body vibration according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
Based on the 1/4 vehicle body vibration principle shown in fig. 3, defining the vertical upward direction as the positive direction, a sprung mass mechanical relation and an unsprung mass mechanical relation of the vehicle body can be constructed, wherein the sprung mass mechanical relation is,
Msas＝f–Cs(Vs-Vu)–Ks(Xs-Xu)
in the formula, MsIs a sprung mass, asIs sprung mass acceleration, f is impact load, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuIs the unsprung mass displacement.
The unsprung mass-mechanical relationship is as follows,
Mu*au＝Cs(Vs-Vu)+Ks(Xs-Xu)–Kt(Xu-Xg)
in the formula, MuIs an unsprung mass, auFor unsprung mass acceleration, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuFor unsprung mass displacement, KtFor tire stiffness, XuFor unsprung mass displacement, XgAnd exciting the displacement for the road surface. Wherein the sprung mass velocity Vs>Unsprung mass velocity Vu>Road surface excitation speed VgSprung mass displacement Xs>Unsprung mass displacement Xu>Road surface excitation displacement Xg。
Referring to fig. 4, fig. 4 is a schematic model diagram of a vehicle ride comfort analysis model according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 4, the vehicle ride comfort analysis model may be constructed based on the sprung mass-mechanical relation and the unsprung mass-mechanical relation to improve the intelligent degree of the on-line analysis of vehicle ride comfort, where the impact load f may be set to 0.00N, and the sprung mass MsCan be set to 400.00kg, spring rate KsCan be set to 22000.00N/m, and the damping of the shock absorber is CsCan be set to 1500.00Ns/M, and unsprung mass MuCan be set to 47.75kg, and the tire rigidity KtIt can be set to 23900.00N/m. The vehicle ride comfort analysis model comprises 4 integrators (namely, integrators 1, integrators 2 and integrators 3) for derivation and 6 working areas (namely, works pace1, works pace2, works pace3, works pace4 and works pace5) for outputting results, wherein the works pace corresponds to step time t, and the works pace1 corresponds to sprung mass acceleration asWorkspace2 corresponds to a sprung mass displacement XsWorkspace3 corresponds to unsprung mass displacement XuWorkspace4 corresponds to tirefore (force to which a tire is subjected), K in an unsprung mass-mechanical relationshipt(Xu-Xg) Workspace5 corresponds to sprung mass velocity Vs。
Referring to fig. 5, fig. 5 is a schematic view illustrating a link between a model and a network input/output interface according to a first embodiment of the vehicle ride comfort analysis method of the present invention.
In fig. 5, the link portion shown in the area (c) corresponds to the vehicle ride comfort analysis model shown in fig. 4, and the link portion shown in the area (c) is a network input interface for receiving a vehicle parameter input by a user, such as the sprung mass MsUnsprung mass MuSpring rate KsTire stiffness KtDamper CsAnd impact load f, the connecting part shown in the region III is a network input interface for outputting smoothness parameters, such as spring Mass Displacement Xs)，Sprung MassVelocity (i.e. sprung mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u) Unrespbrung Mass Velocity (i.e., Unsprung Mass Velocity V)u) Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u)。
And a result output module 30, configured to determine a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
It is easy to understand that after the ride comfort parameters are obtained, the parameter types of the ride comfort parameters can be obtained, and the corresponding chart display formats are matched according to the parameter types, wherein the parameter types include spring-loaded parameters and unsprung parameters, that is, the ride comfort parameters can be divided into parameters related to the spring load (such as spring-loaded mass acceleration, spring-loaded mass velocity and spring-loaded mass displacement) and parameters related to the unsprung load (such as unsprung-loaded mass acceleration, unsprung mass velocity and unsprung mass displacement), the chart display formats can be line colors of the chart (such as different line colors are configured for waveform curves corresponding to different parameters in the parameter chart according to different parameter types), border colors (such as different border colors are configured for borders corresponding to different parameters in the parameter chart according to different parameter types), and the chart display formats can be used for showing the border colors of the chart, Line widths (for example, different line widths are configured for the waveform curves corresponding to different parameters in the parameter graph according to different parameter types, or different line widths are configured for the frames corresponding to different parameters in the parameter table according to different parameter types), and the like, and then the smoothness parameters are converted into corresponding smoothness parameter graphs according to the graph display format, and the smoothness parameter graphs are output.
For example, the ride comfort parameter may be divided into sprung mass MsCorresponding spring Mass Displacement (i.e., Sprung Mass Displacement X)s) Spring Mass Velocity (i.e., Sprung Mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) And unsprung mass MuCorresponding Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u)，Unsprung Mass Velocity (i.e., unsprung Mass Velocity V)u) Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u) When the above-mentioned smoothness parameters are converted into the corresponding smoothness parameter map, the spring Mass Displacement X can be useds) Spring Mass Velocity (i.e., Sprung Mass Velocity V)s) Spring Mass ACC (i.e., Sprung Mass acceleration a)s) Setting the corresponding waveform curve to be yellow, and outputting a corresponding sprung mass displacement smoothness parameter map, a sprung mass speed smoothness parameter map and a sprung mass acceleration smoothness parameter map; will Unsrung Mass Displacement (i.e., Unsprung Mass Displacement X)u) Unrespbrung Mass Velocity (i.e., Unsprung Mass Velocity V)u) Unsrung Mass ACC (i.e. Unsprung Mass acceleration a)u) The corresponding waveform curve is set to be blue, and a corresponding unsprung mass displacement smoothness parameter map, an unsprung mass velocity smoothness parameter map and an unsprung mass acceleration smoothness parameter map are output.
Referring to fig. 6, fig. 6 is a smoothness parameter diagram relating to a first embodiment of a vehicle smoothness analysis method of the present invention, and in fig. 6, (a) is a Sprung Mass Displacement smoothness parameter diagram for characterizing a spring Mass Displacement (Sprung Mass Displacement X)s) The (b) figure is a spring-loaded Mass Velocity smoothness parameter graph used for representing the spring-loaded Mass Velocity (namely the spring-loaded Mass Velocity V)s) The (c) graph is a spring-loaded Mass acceleration smoothness parameter graph and is used for representing the spring Mass ACC (namely the spring-loaded Mass acceleration a)s) Amplitude (Amplitude) variation with Simulation Time; in FIG. 6, (d) is an Unsprung Mass Displacement smoothness parameter graph used to characterize the Unsprung Mass Displacement (i.e., Unsprung Mass Displacement X)u) The (e) diagram is an Unsprung Mass Velocity smoothness parameter diagram used for representing Unsprung Mass Velocity (i.e. Unsprung Mass Velocity V) along with the Amplitude (Amplitude) change condition of Simulation Timeu) (f) as a function of Amplitude (Amplitude) of Simulation Time (Simulation Time)) The diagram is an Unsprung Mass acceleration smoothness parameter diagram used for representing the Unsprung Mass ACC (i.e. Unsprung Mass acceleration a)u) Amplitude (Amplitude) variation with Simulation Time. Therefore, the sprung mass M can be conveniently, quickly and intuitively obtained from the output smoothness parameter diagramsCorresponding sprung mass displacement XsSprung mass velocity VsAcceleration of sprung mass asUnsprung mass MuCorresponding unsprung mass displacement XuUnsprung mass velocity VuUnsprung mass acceleration auThe vibration attenuation condition of the vehicle is judged, and then the influence of the parameter change on the smoothness of the vehicle is judged, so that a user can quickly and effectively optimize the vehicle design.
In the concrete implementation, in order to realize the sharing of the on-line analysis data of the vehicle ride comfort and improve the popularity of the on-line analysis of the vehicle ride comfort, when the ride comfort analysis result of the vehicle to be analyzed is obtained, the ride comfort analysis result can be stored in a ride comfort analysis database, a large number of real-time updated ride comfort analysis results are stored in the ride comfort analysis database, after the user passes identity verification, the user can query the ride comfort data based on the ride comfort analysis database, in the concrete implementation, when the user receives a ride comfort data query instruction input by the user based on the ride comfort analysis database, the corresponding ride comfort data query result can be displayed according to the ride data query instruction, and the ride data query instruction can be understood as the ride comfort analysis result, corresponding to different vehicle types, input by the user, And the influence of each ride comfort parameter on the vehicle ride comfort and the like.
In the embodiment, the whole vehicle parameters of the vehicle to be analyzed are obtained; inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body; and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter. Compared with the prior art that when an engineer carries out design optimization on the managed system and the parts, the engineer cannot timely confirm which part of the managed system or the parts affects the smoothness, a large amount of theoretical calculation, multi-body analysis, real vehicle testing and the like are often required, extra economic expenditure is increased, the response period is long, and meanwhile, the possibility of inconsistent results exists due to various objective reasons, so that judgment is affected. The embodiment frees an engineer from complicated theoretical calculation, simulation analysis and test result waiting, make it not restricted by region and equipment, only carry out online ride comfort analysis in whole car parameter input to the vehicle ride comfort analysis model with the vehicle of waiting to analyze of user input, can obtain the ride comfort analysis result of waiting to analyze the vehicle fast, and know the influence of each ride comfort parameter change to the vehicle ride comfort in time, the speed of vehicle ride comfort online analysis has been promoted, the accuracy uniformity of the ride comfort analysis result who obtains has also been guaranteed, convenient and fast ground has been realized and online ride comfort analysis is carried out to the vehicle, the prevalence of vehicle ride comfort online analysis has also been improved, the networking degree and intelligent degree.
Based on the first embodiment of the vehicle ride comfort analysis device of the present invention, a second embodiment of the vehicle ride comfort analysis device of the present invention is provided.
In this embodiment, the ride comfort analysis module 20 is further configured to input the vehicle parameters into a vehicle ride comfort analysis model that is constructed in advance, so as to calculate the ride comfort parameters according to the sprung mass mechanical relation and the unsprung mass mechanical relation corresponding to the vehicle ride comfort analysis model.
Optionally, the vehicle parameters include sprung mass, unsprung mass, spring stiffness, tire stiffness, damper damping, and impact load;
the ride comfort parameters include sprung mass acceleration, sprung mass velocity, sprung mass displacement, unsprung mass acceleration, unsprung mass velocity, and unsprung mass displacement;
optionally, the sprung mass-mechanical relationship is,
Msas＝f–Cs(Vs-Vu)–Ks(Xs-Xu)
in the formula, MsIs a sprung mass, asIs sprung mass acceleration, f is impact load, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuIs the unsprung mass displacement.
Optionally, the unsprung mass-mechanics relationship is,
Mu*au＝Cs(Vs-Vu)+Ks(Xs-Xu)–Kt(Xu-Xg)
in the formula, MuIs an unsprung mass, auFor unsprung mass acceleration, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuFor unsprung mass displacement, KtFor tire stiffness, XuFor unsprung mass displacement, XgAnd exciting the displacement for the road surface.
Optionally, the result output module 30 is further configured to obtain a parameter type of the smoothness parameter, and match a corresponding chart display format according to the parameter type;
the result output module 30 is further configured to convert the smoothness parameter into a corresponding smoothness parameter graph according to the graph display format, and output the smoothness parameter graph.
Optionally, the result output module 30 is further configured to store the smoothness analysis result in a smoothness analysis database;
the result output module 30 is further configured to, when receiving a smoothness data query instruction input by the user based on the smoothness analysis database, display a corresponding smoothness data query result according to the smoothness data query instruction.
Other embodiments or specific implementation manners of the vehicle ride comfort analysis apparatus of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A vehicle ride comfort on-line analysis method is characterized by comprising the following steps:
acquiring vehicle parameters of a vehicle to be analyzed;
inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of a vehicle body;
and determining a ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
2. The vehicle ride comfort analysis method of claim 1, wherein the step of inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model for on-line ride comfort analysis to obtain ride comfort parameters comprises:
and inputting the vehicle parameters into a pre-constructed vehicle ride comfort analysis model, and calculating ride comfort parameters according to a sprung mass mechanical relation and an unsprung mass mechanical relation corresponding to the vehicle ride comfort analysis model.
3. The vehicle ride comfort analysis method of claim 1, wherein the vehicle parameters include sprung mass, unsprung mass, spring rate, tire rate, shock absorber damping, and impact load;
the ride comfort parameters include sprung mass acceleration, sprung mass velocity, sprung mass displacement, unsprung mass acceleration, unsprung mass velocity, and unsprung mass displacement.
4. The vehicle ride comfort analysis method of claim 1, wherein the sprung mass-mechanical relationship is,
Msas＝f–Cs(Vs-Vu)–Ks(Xs-Xu)
in the formula, MsIs a sprung mass, asIs sprung mass acceleration, f is impact load, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuIs the unsprung mass displacement.
5. The vehicle ride comfort analysis method of claim 1, wherein the unsprung mass-mechanical relationship is,
Mu*au＝Cs(Vs-Vu)+Ks(Xs-Xu)–Kt(Xu-Xg)
in the formula, MuIs an unsprung mass, auFor unsprung mass acceleration, CsFor damping of shock absorbers, VsIs sprung mass velocity, VuIs the unsprung mass velocity, KsFor spring rate, XsIs sprung mass displacement, XuFor unsprung mass displacement, KtFor tire stiffness, XuFor unsprung mass displacement, XgAnd exciting the displacement for the road surface.
6. The vehicle ride comfort analysis method according to any one of claims 1 to 5, wherein the step of determining the ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter comprises:
acquiring the parameter type of the smoothness parameter, and matching a corresponding chart display format according to the parameter type;
and converting the smoothness parameter into a corresponding smoothness parameter chart according to the chart display format, and outputting the smoothness parameter chart.
7. The vehicle ride comfort analysis method according to any one of claims 1 to 5, wherein after the step of determining the ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter, the method further comprises:
storing the ride comfort analysis result to a ride comfort analysis database;
and displaying a corresponding smoothness data query result according to the smoothness data query instruction when the smoothness data query instruction input by the user based on the smoothness analysis database is received.
8. A vehicle ride comfort analysis apparatus, characterized by comprising:
the parameter acquisition module is used for acquiring the whole vehicle parameters of the vehicle to be analyzed;
the ride comfort analysis module is used for inputting the finished automobile parameters into a pre-constructed vehicle ride comfort analysis model to perform online ride comfort analysis so as to obtain ride comfort parameters, wherein the vehicle ride comfort analysis model is established based on a sprung mass mechanical relation and an unsprung mass mechanical relation of an automobile body;
and the result output module is used for determining the ride comfort analysis result of the vehicle to be analyzed according to the ride comfort parameter.
9. A vehicle ride comfort analysis apparatus, characterized in that the apparatus comprises: a memory, a processor, and a vehicle ride comfort analysis program stored on the memory and executable on the processor, the vehicle ride comfort analysis program configured to implement the steps of the vehicle ride comfort analysis method of any of claims 1-7.
10. A storage medium having a vehicle ride comfort analysis program stored thereon, the vehicle ride comfort analysis program when executed by a processor implementing the steps of the vehicle ride comfort analysis method according to any one of claims 1 to 7.
CN202111230983.4A 2021-10-21 2021-10-21 Vehicle ride comfort analysis method, device and equipment and storage medium Pending CN113887070A (en)

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