CN111353197A - Electric automobile and starting acceleration simulation method and device thereof - Google Patents
Electric automobile and starting acceleration simulation method and device thereof Download PDFInfo
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- CN111353197A CN111353197A CN201811570477.8A CN201811570477A CN111353197A CN 111353197 A CN111353197 A CN 111353197A CN 201811570477 A CN201811570477 A CN 201811570477A CN 111353197 A CN111353197 A CN 111353197A
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Abstract
The starting acceleration simulation method comprises the steps of establishing a simulated three-dimensional model based on a human brain otolith structure, further obtaining an acceleration time curve of a simulated otolith device in the simulated three-dimensional model, obtaining a plurality of groups of starting acceleration time curves of the electric automobile according to the acceleration time curve of the simulated otolith device and a rotating speed curve and a torque time curve of a driving motor of the electric automobile, further obtaining a plurality of groups of starting acceleration driving control programs according to parameters of the electric automobile and the plurality of groups of starting acceleration time curves, obtaining an optimal starting acceleration driving control program after testing, greatly increasing the programming accuracy of the starting acceleration torque driving program of the electric automobile, shortening the research and development period and the occupation cost of test resources, and simultaneously meeting the riding comfort of starting acceleration of the electric automobile, Environmental friendliness, low energy consumption, power performance and the like.
Description
Technical Field
The disclosure relates to the technical field of vehicles, in particular to an electric vehicle and a starting acceleration simulation method and device thereof.
Background
In recent years, electric vehicles have become the main transportation tools for people to go out due to the advantages of low noise, zero emission, high energy utilization rate and the like. With the gradual marketization and globalization of electric automobiles, the control of the starting acceleration becomes one of the performance tests of the electric automobiles. At present, in the prior art, the starting acceleration control is realized by a determination method of a road test after a sample vehicle is manufactured by adopting a driving program compiled by national standard requirements.
However, because the structural weights and the like of different passenger car models are greatly different, and the torque characteristics of the driving motors of different vehicle models are also greatly different, the method has the disadvantages that the test time period is longer, the re-calibration and the re-program change are needed to be repeatedly modified, and the method greatly occupies resources such as programming personnel, testing personnel, a test car, a test field and the like.
In addition, the method of determination through experiments is difficult to accurately program a starting acceleration torque driving program of the driving motor, so that the following main problems exist: the starting torque of the driving motor is large or small. The vehicle has the advantages that the vehicle is over high in torque, too fast in starting and acceleration and too short in acceleration time, so that passengers are prone to generating dizziness and nausea, riding comfort is greatly reduced, noise is high, and environmental friendliness on roads is reduced; and the climbing performance of the whole vehicle is reduced due to the over-small torque.
In conclusion, the existing method for determining the starting acceleration of the automobile has the problems of long period, large resource occupation, low comfort and environmental friendliness of passengers and high power consumption.
Disclosure of Invention
The invention aims to provide an electric automobile and a starting acceleration simulation method and device thereof, and aims to solve the problems of long period, large resource occupation, low comfort and environmental friendliness of passengers and high power consumption of the conventional automobile starting acceleration determination method.
The present disclosure is implemented as such, and a first aspect of the present disclosure provides a starting acceleration simulation method for an electric vehicle, where the starting acceleration simulation method includes:
establishing a simulation three-dimensional model based on a human otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
performing dynamic simulation on the simulated three-dimensional model based on the human brain otolith structure to obtain an acceleration time curve of the simulated otolith device;
acquiring a rotating speed curve and a torque time curve of a driving motor of an electric automobile, and acquiring multiple groups of starting acceleration time curves of the electric automobile according to the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the acceleration time curve of the artificial otolith;
and acquiring parameters of the electric automobile, acquiring a plurality of groups of starting acceleration driving control programs according to the parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and testing the plurality of groups of starting acceleration driving control programs to acquire a target starting acceleration driving control program.
A second aspect of the present disclosure provides a starting acceleration performance simulation apparatus for an electric vehicle, including:
the establishing module is used for establishing a simulation three-dimensional model based on a human otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
the first acquisition module is used for performing dynamic simulation on the simulated three-dimensional model based on the human otolith structure so as to acquire an acceleration time curve of the simulated otolith device;
the second acquisition module is used for acquiring a rotating speed curve and a torque time curve of a driving motor of the electric automobile and acquiring a plurality of groups of starting acceleration time curves of the electric automobile according to the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the acceleration time curve of the artificial otolith;
and the third acquisition module is used for acquiring the parameters of the electric automobile, acquiring a plurality of groups of starting acceleration driving control programs according to the parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and testing the plurality of groups of starting acceleration driving control programs to acquire a target starting acceleration driving control program.
A third aspect of the present disclosure provides an electric vehicle including the breakaway acceleration performance simulation apparatus of the second aspect.
The starting acceleration simulation method comprises the steps of establishing a simulated three-dimensional model based on a human brain otolith structure, further obtaining an acceleration time curve of a simulated otolith device in the simulated three-dimensional model, obtaining a plurality of groups of starting acceleration time curves of the electric automobile according to the acceleration time curve of the simulated otolith device and a rotating speed curve and a torque time curve of a driving motor of the electric automobile, further obtaining a plurality of groups of starting acceleration driving control programs according to parameters of the electric automobile and the plurality of groups of starting acceleration time curves, obtaining an optimal starting acceleration driving control program after testing, greatly increasing the programming accuracy of the starting acceleration torque driving program of the electric automobile, shortening the research and development period and the occupation cost of test resources, and simultaneously meeting the riding comfort of starting acceleration of the electric automobile, The method solves the problems of long period, large resource occupation, low comfort and environmental friendliness of passengers and high power consumption of the conventional method for determining the starting acceleration of the automobile.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and those skilled in the art can also obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a starting acceleration simulation method for an electric vehicle according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a human otolith structure in a starting acceleration simulation method for an electric vehicle according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of the electrophysiology of an otolith apparatus in a starting acceleration simulation method for an electric vehicle according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a simulated three-dimensional model in a starting acceleration simulation method of an electric vehicle according to an embodiment of the present disclosure;
fig. 5 is a schematic acceleration time curve of a simulated otolith device in a starting acceleration simulation method for an electric vehicle according to an embodiment of the disclosure;
fig. 6 is a schematic diagram of a plurality of sets of starting acceleration time curves of an electric vehicle in a starting acceleration simulation method of the electric vehicle according to an embodiment of the present disclosure;
fig. 7 is a schematic block structure diagram of a starting acceleration performance simulation apparatus of an electric vehicle according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure.
In order to explain the technical solution of the present disclosure, the following description is given by way of specific examples.
The embodiment of the present disclosure provides a starting acceleration simulation method for an electric vehicle, where the starting acceleration simulation method is used to simulate starting acceleration of the electric vehicle to obtain an optimal starting acceleration driving control program, and as shown in fig. 1, the starting acceleration simulation method includes:
step S11: establishing a simulation three-dimensional model based on a human otolith structure; wherein, the simulated three-dimensional model is provided with a simulated otolith device.
In the embodiment of the disclosure, because the existing automobile starting acceleration control method has too large torque, so that the starting acceleration is too fast, the acceleration time is too short, and then the passengers are easy to have dizziness and nausea, in order to eliminate the disadvantage, the present disclosure establishes a simulated three-dimensional model based on a human otolith structure, and performs the starting acceleration simulation of the automobile on the basis of the simulated three-dimensional model.
Specifically, as shown in fig. 2 and 3, the otolith organs are located at the back of the left and right eyeballs of the human brain. The feeling of people when the vehicle accelerates and decelerates is mainly related to the oval sac in the otolith apparatus, and the basic physiological processes of the otolith apparatus are as follows: when people take the vehicle, under the acceleration and deceleration action of the vehicle, namely under the action of linear acceleration motion, because the specific gravity of the otolith of the human brain is far heavier than that of the internal lymph around the otolith, the inertia of the otolith causes the otolith to generate displacement in the direction of counter force, the cilia of hair cells are pulled, the capillary cells vertical to the hair or the cilia of the hair cells are bent and pressed, the hair cells of the hair cells of the hair.
Based on the principle of the human cephalotide structure, the method establishes a simulated three-dimensional model based on the human cephalotide structure by simulating the microscopic physiological principle of an otolith device, adding otolith, liquid specific gravity and threshold range data.
Specifically, as shown in fig. 4, the simulation three-dimensional model includes: 1. the metal container with a certain wall thickness has an upward opening, can contain liquid and can be drilled; 2. a liquid with a certain specific gravity, wherein the liquid keeps a certain liquid level in the metal container; 3. a solid ball with a certain specific gravity, and the solid ball is submerged in liquid, wherein the solid ball is an artificial otolith device; 4. the rotary shaft, wherein the metal container has bore holes, the rotary shaft is installed on container horizontally, and the middle part of the rotary shaft has slidable axle sleeve; 5. it should be noted that in the present disclosure, it is assumed that the thin rigid rod has negligible elastic and plastic deformation and mass.
Step S12: and performing dynamic simulation on the simulated three-dimensional model based on the human brain otolith structure to obtain an acceleration time curve of the simulated otolith device.
In the embodiment of the present disclosure, after the simulated three-dimensional model based on the structure of the otolith of the human brain is established, the dynamic simulation of the simulated three-dimensional model can be performed to obtain the acceleration time curve of the artificial otolith in the simulated three-dimensional model.
Specifically, the solid ball 3 can be pulled away from the rest position at a certain angle (note that the liquid 2 still submerges the solid ball 3 at this time), the solid ball 3 automatically starts to swing under the action of gravity, and finally the solid ball 3 can be still at the initial position due to the existence of liquid resistance, so that an acceleration time curve of the solid ball 3, namely the artificial otolith device, can be obtained through kinetic analysis, namely the curve shown in fig. 5; it should be noted that, in the present embodiment, in the dynamic simulation of the artificial otolith, the mass and damping of the thin rigid rod 5 are negligible, and the dynamic simulation can be performed by software.
Step S13: the method comprises the steps of obtaining a rotating speed curve and a torque time curve of a driving motor of the electric automobile, and obtaining a plurality of groups of starting acceleration time curves of the electric automobile according to the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the acceleration time curve of the artificial otolith.
In the embodiment of the disclosure, after the acceleration time curve of the artificial otolith is obtained, a plurality of groups of starting acceleration time curves of the electric automobile can be obtained according to the obtained rotating speed curve and torque time curve of the driving motor of the electric automobile and the obtained acceleration time curve of the artificial otolith, so that the optimized starting acceleration simulation of the vehicle can be performed according to the plurality of groups of starting acceleration time curves.
Further, as an embodiment of the present disclosure, the step S13 of obtaining the rotation speed curve and the torque-time curve of the driving motor of the electric vehicle specifically includes:
and acquiring the model of the electric automobile, and acquiring a rotating speed curve and a torque time curve of a driving motor of the electric automobile according to the model of the electric automobile.
In the embodiment of the present disclosure, since the rotation speed curves and the torque-time curves of the driving motors of the vehicles of different vehicle types are different, when the rotation speed curves and the torque-time curves of the driving motors of the electric vehicles are obtained, the vehicle types of the electric vehicles need to be obtained first, and then the rotation speed curves and the torque-time curves of the driving motors of the electric vehicles can be obtained according to the vehicle types of the electric vehicles.
Further, as an embodiment of the present disclosure, in step S13, the obtaining multiple sets of starting acceleration time curves of the electric vehicle according to a rotation speed curve and a torque time curve of a driving motor of the electric vehicle and an acceleration time curve of the artificial otolith device specifically includes:
intercepting multiple sections of sub-curves in the acceleration time curve of the artificial otolith device, and fitting a rotating speed curve of a driving motor of the electric automobile, a torque time curve and the intercepted multiple sections of sub-curves to obtain multiple groups of starting acceleration time curves of the electric automobile.
In the embodiment of the present disclosure, after the acceleration time curve of the artificial otolith shown in fig. 5 is obtained, the present disclosure may intercept multiple sub-curves from the acceleration time curve of the artificial otolith, and fit the intercepted multiple sub-curves with the obtained driving motor speed curve and torque time curve of the electric vehicle, so as to obtain multiple starting acceleration time curves of the electric vehicle, as shown in fig. 6; it should be noted that, in this embodiment, only 4 segments are taken as an example in the schematic diagram of the multiple sets of the starting acceleration time curves shown in fig. 6, and the fitting process of the driving motor speed curve, the torque time curve and the intercepted multiple segments of sub-curves of the electric vehicle may refer to the existing curve fitting technology, which is not described herein again.
Step S14: and acquiring parameters of the electric automobile, acquiring a plurality of groups of starting acceleration driving control programs according to the parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and testing the plurality of groups of starting acceleration driving control programs to acquire a target starting acceleration driving control program.
In the embodiment of the present disclosure, after the multiple sets of starting acceleration time curves of the electric vehicle are acquired in step S13, if a starting acceleration driving control program of the electric vehicle is to be acquired, parameters of the electric vehicle are also acquired, so that in step S14, the multiple sets of starting acceleration driving control programs are acquired by acquiring the parameters of the electric vehicle and further acquiring the parameters and the multiple sets of starting acceleration time curves.
Further, as an embodiment of the present disclosure, the acquiring of the parameters of the electric vehicle in step S14 specifically includes:
and acquiring the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
Further, as an embodiment of the present disclosure, the step S14 of obtaining multiple sets of starting acceleration driving control programs according to the parameters of the electric vehicle and the multiple sets of starting acceleration time curves specifically includes:
and acquiring a plurality of coordinate points in each group of starting acceleration time curves, acquiring a plurality of groups of driving motor torque-time corresponding numerical value relation tables according to the plurality of coordinate points of each group of starting acceleration time curves, the total weight of the electric automobile, the wheel diameter, the speed ratio and the transmission efficiency, and acquiring a plurality of groups of starting acceleration driving control programs according to the plurality of groups of driving motor torque-time corresponding numerical value relation tables.
In the embodiment of the disclosure, acquiring a plurality of coordinate points in each set of starting acceleration time curves means acquiring a plurality of longitudinal axis coordinate points in each set of starting acceleration time curves, that is, acquiring a plurality of starting accelerations a in each set of starting acceleration time curves, after acquiring a plurality of starting accelerations a in each set of starting acceleration time curves, acquiring a plurality of tire ground driving forces of an electric vehicle by using a formula F ═ ma, wherein m is a total weight of the electric vehicle, and further acquiring a plurality of driving motor torques of the electric vehicle according to a formula N ═ η × L × N, wherein η is a transmission efficiency of the electric vehicle, L is a wheel diameter of the electric vehicle, N is a speed ratio of the electric vehicle, F is a ground driving force of the electric vehicle, and N is a torque of the driving motor, and when acquiring a torque N of the driving motor, the disclosure further acquires a plurality of sets of acceleration driving control programs according to a driving motor torque-time corresponding numerical relation table.
After a plurality of sets of starting acceleration drive control programs are obtained, in order to obtain an optimal starting acceleration drive control program (target starting acceleration drive control program), the plurality of sets of starting acceleration drive control programs need to be tested, the specific test process is to introduce the plurality of sets of starting acceleration drive control programs into a real-vehicle road test, compare test results of tests such as starting acceleration dizziness, starting acceleration performance, climbing slope and the like of the plurality of sets of starting acceleration drive control programs, find the target starting acceleration drive control program which can simultaneously meet the performance indexes, and obtain the required drive motor acceleration control program.
In the embodiment, the method comprises the steps of establishing a simulated three-dimensional model based on a human brain otolith structure, further obtaining an acceleration time curve of a simulated otolith device in the simulated three-dimensional model, obtaining a plurality of groups of starting acceleration time curves of the electric automobile according to the acceleration time curve of the simulated otolith device and a rotating speed curve and a torque time curve of a driving motor of the electric automobile, further obtaining a plurality of groups of starting acceleration driving control programs according to parameters of the electric automobile and the plurality of groups of starting acceleration time curves, obtaining an optimal starting acceleration driving control program after testing, greatly increasing the programming precision of the starting acceleration torque driving program of the electric automobile, shortening the research and development period and the occupation cost of test resources, and simultaneously meeting the indexes of riding comfort, environmental friendliness, low energy consumption, dynamic performance and the like of starting acceleration of the electric automobile, the method solves the problems of long period, large resource occupation, low comfort and environmental friendliness of passengers and high power consumption in the conventional method for determining the starting acceleration of the automobile.
Further, fig. 7 shows a schematic structural diagram of a starting acceleration performance simulation device of an electric vehicle, and functions of each module in the starting acceleration performance simulation device 7 correspond to each step in the starting acceleration performance simulation method shown in fig. 1. Specifically, the starting acceleration performance simulation device includes 7: a building module 71, a first obtaining module 72, a second obtaining module 73, and a third obtaining module 74.
The establishing module 71 is used for establishing a simulation three-dimensional model based on a human otolith structure; wherein, the simulated three-dimensional model is provided with a simulated otolith device.
The first obtaining module 72 is configured to perform dynamic simulation on the simulated three-dimensional model based on the structure of the otolith of the human brain to obtain an acceleration time curve of the simulated otolith device.
The second obtaining module 73 is configured to obtain a rotation speed curve and a torque time curve of a driving motor of the electric vehicle, and obtain multiple sets of starting acceleration time curves of the electric vehicle according to the rotation speed curve and the torque time curve of the driving motor of the electric vehicle and an acceleration time curve of the artificial otolith.
The third obtaining module 74 is configured to obtain parameters of the electric vehicle, obtain multiple sets of starting acceleration driving control programs according to the parameters of the electric vehicle and the multiple sets of starting acceleration time curves, and test the multiple sets of starting acceleration driving control programs to obtain a target starting acceleration driving control program.
Further, as an embodiment of the present disclosure, the second obtaining module 73 is specifically configured to obtain a model of the electric vehicle, and obtain a driving motor speed curve and a torque-time curve of the electric vehicle according to the model of the electric vehicle.
Further, as an embodiment of the present disclosure, the second obtaining module 73 is further specifically configured to intercept multiple sub-curves in the acceleration time curve of the artificial otolith, and fit a rotation speed curve of a driving motor of the electric vehicle, a torque time curve, and the intercepted multiple sub-curves to obtain multiple sets of starting acceleration time curves of the electric vehicle.
Further, as an embodiment of the present disclosure, the third obtaining module 74 is specifically configured to obtain the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric vehicle.
Further, as an embodiment of the present disclosure, the third obtaining module 74 is further specifically configured to obtain a plurality of coordinate points in each set of the starting acceleration time curve, obtain a corresponding numerical relation table of torque-time of a plurality of sets of driving motors according to the plurality of coordinate points of each set of the starting acceleration time curve and the total weight, the wheel diameter, the speed ratio, and the transmission efficiency of the electric vehicle, and obtain a plurality of sets of starting acceleration driving control programs according to the corresponding numerical relation table of torque-time of the plurality of sets of driving motors.
In the embodiment, the starting acceleration simulation device 7 establishes a simulated three-dimensional model based on a human brain otolith structure, further obtains an acceleration time curve of a simulated otolith in the simulated three-dimensional model, obtains a plurality of groups of starting acceleration time curves of the electric automobile according to the acceleration time curve of the simulated otolith and a rotating speed curve and a torque time curve of a driving motor of the electric automobile, further obtains a plurality of groups of starting acceleration driving control programs according to parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and obtains an optimal starting acceleration driving control program after testing, thereby greatly increasing the precision of the electric automobile starting acceleration driving program compilation, shortening the research and development period and the occupation cost of test resources, and simultaneously meeting the riding comfort, environmental friendliness, low energy consumption, power performance and other indexes of the electric automobile starting acceleration, the method solves the problems of long period, large resource occupation, low comfort and environmental friendliness of passengers and high power consumption in the conventional method for determining the starting acceleration of the automobile.
Further, the present disclosure also provides an electric vehicle, which includes the above starting acceleration performance simulation apparatus 7. It should be noted that, since the starting acceleration performance simulation device 7 of the electric vehicle provided in the embodiment of the present disclosure is the same as the starting acceleration performance simulation device 7 shown in fig. 7, the specific operating principle of the starting acceleration performance simulation device 7 in the electric vehicle provided in the embodiment of the present disclosure may refer to the foregoing detailed description about fig. 7, and is not repeated here.
According to the method, a simulation three-dimensional model based on a human brain otolith structure is established, an acceleration time curve of a simulation otolith device in the simulation three-dimensional model is further obtained, multiple groups of starting acceleration time curves of the electric automobile are obtained according to the acceleration time curve of the simulation otolith device and a rotating speed curve and a torque time curve of a driving motor of the electric automobile, multiple groups of starting acceleration driving control programs are further obtained according to parameters of the electric automobile and the multiple groups of starting acceleration time curves, and an optimal starting acceleration driving control program is obtained after testing, so that the whole automobile is short in research and development period, small in occupied space of programming, test resources and the like, greatly reduced in cost, and the indexes of riding comfort, environment friendliness, energy consumption, power performance and the like of the electric passenger car during starting acceleration are accurately considered; in addition, the accelerated development method of the electric motor coach has the value of popularizing for other types of electric automobiles (such as electric passenger cars, electric trucks and the like).
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. A starting acceleration simulation method of an electric automobile is characterized by comprising the following steps:
establishing a simulation three-dimensional model based on a human otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
performing dynamic simulation on the simulated three-dimensional model based on the human brain otolith structure to obtain an acceleration time curve of the simulated otolith device;
acquiring a rotating speed curve and a torque time curve of a driving motor of an electric automobile, and acquiring multiple groups of starting acceleration time curves of the electric automobile according to the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the acceleration time curve of the artificial otolith;
and acquiring parameters of the electric automobile, acquiring a plurality of groups of starting acceleration driving control programs according to the parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and testing the plurality of groups of starting acceleration driving control programs to acquire a target starting acceleration driving control program.
2. The method for simulating breakaway acceleration of claim 1, wherein the obtaining of the driving motor speed curve and the torque-time curve of the electric vehicle comprises:
and acquiring the model of the electric automobile, and acquiring a rotating speed curve and a torque time curve of a driving motor of the electric automobile according to the model of the electric automobile.
3. The method for simulating starting acceleration according to claim 2, wherein the step of obtaining a plurality of groups of starting acceleration time curves of the electric vehicle according to a rotating speed curve and a torque time curve of a driving motor of the electric vehicle and an acceleration time curve of the artificial otolith comprises the following steps:
intercepting multiple sections of sub-curves in the acceleration time curve of the artificial otolith device, and fitting a rotating speed curve of a driving motor of the electric automobile, a torque time curve and the intercepted multiple sections of sub-curves to obtain multiple groups of starting acceleration time curves of the electric automobile.
4. The breakaway acceleration simulation method of any one of claims 1 to 3, wherein the acquiring the parameter of the electric vehicle includes:
and acquiring the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
5. The method for simulating startability and acceleration of claim 4, wherein the step of obtaining a plurality of sets of startability and acceleration drive control programs according to the parameters of the electric vehicle and the plurality of sets of startability and acceleration time curves comprises:
and acquiring a plurality of coordinate points in each group of starting acceleration time curves, acquiring a plurality of groups of driving motor torque-time corresponding numerical value relation tables according to the plurality of coordinate points of each group of starting acceleration time curves, the total weight of the electric automobile, the wheel diameter, the speed ratio and the transmission efficiency, and acquiring a plurality of groups of starting acceleration driving control programs according to the plurality of groups of driving motor torque-time corresponding numerical value relation tables.
6. A starting acceleration performance simulation device for an electric vehicle, characterized by comprising:
the establishing module is used for establishing a simulation three-dimensional model based on a human otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
the first acquisition module is used for performing dynamic simulation on the simulated three-dimensional model based on the human otolith structure so as to acquire an acceleration time curve of the simulated otolith device;
the second acquisition module is used for acquiring a rotating speed curve and a torque time curve of a driving motor of the electric automobile and acquiring a plurality of groups of starting acceleration time curves of the electric automobile according to the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the acceleration time curve of the artificial otolith;
and the third acquisition module is used for acquiring the parameters of the electric automobile, acquiring a plurality of groups of starting acceleration driving control programs according to the parameters of the electric automobile and the plurality of groups of starting acceleration time curves, and testing the plurality of groups of starting acceleration driving control programs to acquire a target starting acceleration driving control program.
7. The launch acceleration nature simulation apparatus according to claim 6, characterized in that the second obtaining module is specifically configured to:
and acquiring the model of the electric automobile, and acquiring a rotating speed curve and a torque time curve of a driving motor of the electric automobile according to the model of the electric automobile.
8. The launch acceleration nature simulation apparatus of claim 7, wherein the second obtaining module is further specifically configured to:
intercepting multiple sections of sub-curves in the acceleration time curve of the artificial otolith device, and fitting a rotating speed curve of a driving motor of the electric automobile, a torque time curve and the intercepted multiple sections of sub-curves to obtain multiple groups of starting acceleration time curves of the electric automobile.
9. The startup acceleration performance simulation apparatus according to any one of claims 6 to 8, wherein the third obtaining module is specifically configured to:
and acquiring the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
10. An electric vehicle characterized by comprising the breakaway acceleration performance simulation apparatus according to any one of claims 6 to 9.
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| CN114212095A (en) * | 2021-12-02 | 2022-03-22 | 江铃汽车股份有限公司 | Method, system and equipment for determining key factors of vehicle starting based on simulation |
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