CN111353197B - 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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- CN111353197B CN111353197B CN201811570477.8A CN201811570477A CN111353197B CN 111353197 B CN111353197 B CN 111353197B CN 201811570477 A CN201811570477 A CN 201811570477A CN 111353197 B CN111353197 B CN 111353197B
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
Abstract
The invention provides an electric automobile and a starting acceleration simulation method and a starting acceleration simulation device thereof, wherein the starting acceleration simulation method is used for acquiring an acceleration time curve of a simulated otolith device in a simulated three-dimensional model by establishing the simulated three-dimensional model based on a human brain otolith structure, acquiring 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 driving motor rotating speed curve and a torque time curve of the electric automobile, acquiring 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, acquiring an optimal starting acceleration driving control program after testing, greatly improving 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 such as riding comfort, environmental friendliness, low energy consumption, dynamic performance and the like of the starting acceleration of the electric automobile.
Description
Technical Field
The disclosure relates to the technical field of vehicles, in particular to an electric automobile and a starting acceleration simulation method and device thereof.
Background
In recent years, electric automobiles become a main vehicle for people to travel because of the advantages of low noise, zero emission, high energy utilization rate and the like. With the gradual marketization and globalization of electric automobiles, the starting acceleration control of the electric automobiles becomes one of the performance evaluations of the electric automobiles. At present, the prior art mainly adopts a driving program compiled by national standard requirements to realize starting acceleration control through a determination method of a road test after sample vehicle trial production is completed.
However, because the differences of the structural weights and the like of different passenger car models are large, the torque characteristics of the driving motors of different passenger car models are also large, the method has the advantages that the test time period is relatively long, the recalibration and program change are required to be repeatedly modified, and the human resources of programming personnel and test personnel and the resources of test cars and test sites are occupied greatly.
In addition, the method for determining 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 too small. The vehicle has the advantages that the torque is too large, the starting and accelerating are too fast, the accelerating time is too short, passengers are easy to generate dizziness and nausea, riding comfort is greatly reduced, noise is large, environmental friendliness on a road is reduced, in addition, when the whole vehicle is just started, the vehicle is positioned in a region with higher power consumption of a driving motor, and higher energy consumption is easily caused by the too large torque; too little torque will lead to the whole car climbing performance to reduce.
In summary, the existing method for determining the starting acceleration of the automobile has the problems of long period, large resource occupation, low passenger comfort and environmental friendliness and high power consumption.
Disclosure of Invention
The invention aims to provide an electric automobile and a starting acceleration simulation method and device thereof, which are used for solving the problems of long period, large resource occupation, low passenger comfort and environmental friendliness and high power consumption of the existing automobile starting acceleration determination method.
The present disclosure is implemented in such a way, and a first aspect of the present disclosure provides a start acceleration simulation method of an electric vehicle, where the start acceleration simulation method includes:
establishing a simulation three-dimensional model based on a human brain otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
carrying out 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 driving motor rotating speed curve and a torque time curve of an electric automobile, and acquiring a plurality of groups of starting acceleration time curves of the electric automobile according to the driving motor rotating speed curve and the torque time curve of the electric automobile and the acceleration time curve of the simulated 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 start acceleration simulation apparatus for an electric automobile, the start acceleration simulation apparatus including:
the building module is used for building a simulation three-dimensional model based on the human brain otolith structure; wherein the simulated three-dimensional model is provided with a simulated otolith device;
the first acquisition module is used for carrying out dynamic simulation on the simulated three-dimensional model based on the human brain otolith structure so as to acquire an acceleration time curve of the simulated otolith;
the second acquisition module is used for acquiring a driving motor rotating speed curve and a torque time curve of the electric automobile and acquiring a plurality of groups of starting acceleration time curves of the electric automobile according to the driving motor rotating speed curve, the torque time curve and the acceleration time curve of the simulated otolith device of the electric automobile;
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 the target starting acceleration driving control programs.
A third aspect of the present disclosure provides an electric vehicle including the start acceleration simulation device of the second aspect.
The invention provides an electric automobile and a starting acceleration simulation method and a starting acceleration simulation device thereof, wherein the starting acceleration simulation method is used for acquiring an acceleration time curve of a simulated otolith in the simulated three-dimensional model by establishing a simulated three-dimensional model based on a human brain otolith structure, acquiring 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 driving motor rotating speed curve and a torque time curve of the electric automobile, acquiring 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, acquiring 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 the starting acceleration of the electric automobile.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required for the embodiments or the description of the prior art 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 that other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a schematic flow chart of a starting acceleration simulation method of an electric automobile according to an embodiment of the disclosure;
fig. 2 is a schematic structural diagram of a human brain otolith structure in a starting acceleration simulation method of an electric automobile according to an embodiment of the present disclosure;
FIG. 3 is a microscopic physiological schematic of a stoner in a start acceleration simulation method of an electric vehicle provided by an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a simulated three-dimensional model in a starting acceleration simulation method of an electric automobile according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of acceleration time curves of a simulated otolith device in a starting acceleration simulation method of an electric automobile according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of a plurality of groups 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 diagram of a starting acceleration simulation device 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 apparent, the present disclosure will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present disclosure and are not intended to limit the present disclosure.
In order to illustrate the technical solutions of the present disclosure, the following description is made by specific embodiments.
The embodiment of the disclosure provides a starting acceleration simulation method for an electric automobile, which is used for simulating the starting acceleration of the electric automobile to obtain an optimal starting acceleration driving control program, as shown in fig. 1, and comprises the following steps:
step S11: establishing a simulation three-dimensional model based on a human brain 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 is too high in torque, so that starting acceleration is too fast, acceleration time is too short, and passengers are easy to generate dizziness and nausea, in order to overcome the defects, the vehicle starting acceleration simulation is performed on the basis of a simulation three-dimensional model based on a human brain otolith structure.
Specifically, as shown in fig. 2 and 3, the otolith organ is located at the left and right retrobulbar parts of the human brain. The feeling of people during acceleration and deceleration of the vehicle is mainly related to the elliptic sacs in the otolith device, and the basic physiological processes of the otolith device are as follows: when a person takes a vehicle, under the acceleration and deceleration action of the vehicle, namely under the action of linear acceleration, because the specific gravity of the auricular stone of the brain is far heavier than that of the perilymph fluid around the auricular stone, the inertia of the auricular stone causes the auricular stone membrane to displace in the direction of the counter acting force, the hair cells are pulled to cause the vertical movement or the static bending compression of the hair cells, the movement or the static hair cells generate electric signals, the electric signals can sense the linear movement acceleration of the human body by adjusting the nerve centers of afferent nerve fibers, and the auricular stone organ has a certain acceleration threshold value, and passengers can sense dizziness and nausea when exceeding the physiological threshold value.
Based on the principle of the human brain otolith structure, the simulation three-dimensional model based on the human brain otolith structure is established by simulating the microscopic physiological principle of the otolith device and adding otolith and liquid specific gravity and threshold range data.
Specifically, as shown in fig. 4, the simulated three-dimensional model includes: 1. a metal container with a certain wall thickness, wherein the opening of the metal container faces upwards, can contain liquid and can be drilled; 2. a liquid of a specific gravity which maintains a certain liquid level in the metal container; 3. a solid sphere with a certain specific gravity is submerged in the liquid, wherein the solid sphere is the simulated otolith device; 4. the rotary shaft is horizontally arranged on the container and provided with a slidable shaft sleeve in the middle; 5. a thin rigid rod, the upper end of which is connected with the rotating shaft sleeve, and the lower end of which is connected with the solid ball, it should be noted that in the present disclosure, it is assumed that the elastic, plastic deformation and mass of the thin rigid rod can be ignored.
Step S12: and carrying out dynamic simulation on the simulated three-dimensional model based on the human brain otolith structure so as to obtain an acceleration time curve of the simulated otolith.
In the embodiment of the disclosure, after a simulated three-dimensional model based on a human brain otolith structure is established, dynamic simulation can be performed on the simulated three-dimensional model to obtain an acceleration time curve of a simulated 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 floods the solid ball 3 at this moment), the solid ball 3 automatically starts swinging under the action of gravity, and the solid ball 3 finally can rest at the initial position due to the existence of liquid resistance, so that the acceleration time curve of the solid ball 3, namely the simulated otolithic device, namely the curve shown in fig. 5 can be obtained through dynamic analysis; in the present embodiment, the mass and damping of the thin rigid rod 5 are negligible when the dynamic simulation of the simulated otolith apparatus is performed, and the dynamic simulation may be performed by software.
Step S13: and acquiring a driving motor rotating speed curve and a torque time curve of the electric automobile, and acquiring a plurality of groups of starting acceleration time curves of the electric automobile according to the driving motor rotating speed curve and the torque time curve of the electric automobile and the acceleration time curve of the simulated otolith.
In the embodiment of the disclosure, after the acceleration time curve of the simulated otolith device is obtained, multiple groups of starting acceleration time curves of the electric automobile can be obtained according to the obtained rotation speed curve and torque time curve of the driving motor of the electric automobile and the obtained acceleration time curve of the simulated otolith device, so that optimal starting acceleration simulation of the automobile is conducted according to the multiple groups of starting acceleration time curves.
Further, as an embodiment of the present disclosure, the obtaining the rotation speed curve and the torque time curve of the driving motor of the electric vehicle in step S13 specifically includes:
and acquiring the vehicle type of the electric vehicle, and acquiring a driving motor rotating speed curve and a torque time curve of the electric vehicle according to the vehicle type of the electric vehicle.
In the embodiment of the disclosure, since the rotation speed curves and the torque time curves of the driving motors of 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 acquired, the vehicle type of the electric vehicle needs to be acquired first, and then the rotation speed curves and the torque time curves of the driving motors of the electric vehicle can be acquired according to the vehicle type of the electric vehicle.
Further, as an embodiment of the present disclosure, in step S13, according to a rotation speed curve and a torque time curve of a driving motor of an electric vehicle and an acceleration time curve of the simulated otolith device, the obtaining a plurality of groups of starting acceleration time curves of the electric vehicle specifically includes:
intercepting a plurality of sections of sub-curves in the acceleration time curve of the simulated otolith device, and fitting the driving motor rotating speed curve, the torque time curve and the intercepted plurality of sections of sub-curves of the electric automobile to obtain a plurality of groups of starting acceleration time curves of the electric automobile.
In the embodiment of the present disclosure, after the acceleration time curve of the simulated otolith device shown in fig. 5 is obtained, the present disclosure may intercept multiple sections of sub-curves in the acceleration time curve of the simulated otolith device, and fit multiple groups of intercepted sub-curves with the obtained driving motor rotation speed curve and torque time curve of the electric automobile, so as to obtain starting acceleration time curves of multiple groups of electric automobiles, as shown in fig. 6; it should be noted that, in the embodiment, only 4 sections are illustrated in the multi-set starting acceleration time curve diagram shown in fig. 6, and the fitting process of the driving motor rotation speed curve, the torque time curve and the truncated multi-section sub-curve of the electric vehicle may refer to the existing curve fitting technology, which is not repeated here.
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 a plurality of sets of starting acceleration time curves of the electric vehicle are obtained in step S13, if a starting acceleration driving control program of the electric vehicle is to be obtained, parameters of the electric vehicle are also required to be obtained, so in step S14, a plurality of sets of starting acceleration driving control programs are obtained by obtaining the parameters of the electric vehicle and further according to the parameters and the plurality of sets of starting acceleration time curves.
Further, as an embodiment of the present disclosure, the parameters of the electric vehicle obtained in step S14 are specifically:
and obtaining the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
Further, as an embodiment of the disclosure, in step S14, according to the parameters of the electric vehicle and the multiple sets of starting acceleration time curves, the obtaining multiple sets of starting acceleration driving control programs specifically includes:
and acquiring a plurality of coordinate points in each group of starting acceleration time curves, acquiring a corresponding numerical relation table of torque-time of a plurality of groups of driving motors according to the plurality of coordinate points of each group of starting acceleration time curves and the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile, and acquiring a plurality of groups of starting acceleration driving control programs according to the corresponding numerical relation table of torque-time of the plurality of groups of driving motors.
In the embodiment of the present disclosure, acquiring a plurality of coordinate points in each set of starting acceleration time curves refers to acquiring a plurality of vertical 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 a plurality of starting accelerations a in each group of starting acceleration time curves are obtained, the present disclosure obtains a plurality of tire ground driving forces of the electric vehicle through a formula f=ma, where m is the total weight of the electric vehicle; further, according to a formula n=η×f×l×n, a plurality of driving motor torques of the electric vehicle are obtained, 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; when the torque N of the driving motor is obtained, the present disclosure further obtains a plurality of groups of starting acceleration driving control programs according to the corresponding numerical relation table of the torque-time of the driving motor.
After a plurality of groups of starting acceleration driving control programs are obtained, in order to obtain an optimal starting acceleration driving control program (target starting acceleration driving control program), a plurality of groups of starting acceleration driving control programs are required to be tested at the moment, the specific test process is to guide the plurality of groups of starting acceleration driving control programs into a real vehicle road test, test results of tests such as starting acceleration dizziness, starting acceleration performance, climbing gradient and the like of the plurality of groups of starting acceleration driving control programs are compared, and the target starting acceleration driving control program which can simultaneously meet the performance indexes is found, so that the required driving motor acceleration control program can be obtained.
In the embodiment, the simulation three-dimensional model based on the human brain otolith structure is built, so that the acceleration time curve of the simulation otolith in the simulation three-dimensional model is obtained, multiple groups of starting acceleration time curves of the electric automobile are obtained according to the acceleration time curve of the simulation otolith and the rotating speed curve and the torque time curve of the driving motor of the electric automobile, multiple groups of starting acceleration driving control programs are obtained according to the parameters of the electric automobile and the multiple groups of starting acceleration time curves, and the optimal starting acceleration driving control programs are obtained after testing, so that the accuracy of programming of the starting acceleration torque driving programs of the electric automobile is greatly improved, the research and development period and the occupation cost of test resources are shortened, and meanwhile, the indexes such as riding comfort, environmental friendliness, low energy consumption, dynamic performance and the like of starting acceleration of the electric automobile are met, and the problems of long period, large resource occupation, low passenger comfort and environmental friendliness and high power consumption of the existing automobile starting acceleration determining method are solved.
Further, fig. 7 shows a schematic structural diagram of a start acceleration simulation device of an electric vehicle, and functions of respective modules in the start acceleration simulation device 7 correspond to respective steps in the start acceleration simulation method shown in fig. 1. Specifically, the start acceleration simulator 7 includes: the establishing module 71, the first obtaining module 72, the second obtaining module 73 and the third obtaining module 74.
Wherein, the establishing module 71 is configured to establish a simulated three-dimensional model based on a human brain otolith structure; wherein, the simulated three-dimensional model is provided with a simulated otolith device.
The first obtaining module 72 is configured to perform a dynamic simulation on a simulated three-dimensional model based on a human brain otolith structure, so as to obtain an acceleration time curve of the simulated otolith.
The second obtaining module 73 is configured to obtain a driving motor rotation speed curve and a torque time curve of the electric vehicle, and obtain a plurality of groups of starting acceleration time curves of the electric vehicle according to the driving motor rotation speed curve, the torque time curve and the acceleration time curve of the simulated otolith device of the electric vehicle.
The third obtaining module 74 is configured to obtain parameters of the electric vehicle, obtain a plurality of sets of starting acceleration driving control programs according to the parameters of the electric vehicle and the plurality of sets of starting acceleration time curves, and test the plurality of sets of starting acceleration driving control programs to obtain the 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 vehicle type of the electric vehicle, and obtain a driving motor rotation speed curve and a torque time curve of the electric vehicle according to the vehicle type of the electric vehicle.
Further, as an embodiment of the present disclosure, the second obtaining module 73 is further specifically configured to intercept multiple sections of sub-curves in the acceleration time curve of the simulated otolith device, and fit the rotation speed curve and the torque time curve of the driving motor of the electric automobile and the intercepted multiple sections of sub-curves to obtain multiple groups of starting acceleration time curves of the electric automobile.
Further, as one embodiment of the present disclosure, the third acquisition module 74 is specifically configured to acquire a total weight, a wheel diameter, a speed ratio, and a 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 starting acceleration time curves, obtain a plurality of sets of corresponding numerical relation tables of driving motor torque-time according to the plurality of coordinate points in each set of starting acceleration time curves 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 plurality of sets of corresponding numerical relation tables of driving motor torque-time.
In this embodiment, the starting acceleration simulation device 7 establishes a simulated three-dimensional model based on a human brain otolith structure, so as to obtain an acceleration time curve of a simulated otolith in the simulated three-dimensional model, obtain multiple groups of starting acceleration time curves of the electric vehicle according to the acceleration time curve of the simulated otolith and a driving motor rotating speed curve and a torque time curve of the electric vehicle, further obtain multiple groups of starting acceleration driving control programs according to parameters of the electric vehicle and the multiple groups of starting acceleration time curves, and obtain an optimal starting acceleration driving control program after testing, thereby greatly increasing the programming accuracy of the starting acceleration torque driving program of the electric vehicle, shortening the research and development period and the occupation cost of test resources, meeting the indexes of riding comfort, environmental friendliness, low energy consumption, power performance and the like of the starting acceleration of the electric vehicle, and solving the problems of long period, large resource occupation, low passenger comfort and environmental friendliness and high power consumption of the existing automobile starting acceleration determination method.
Further, the present disclosure also provides an electric vehicle including the start acceleration simulation device 7 described above. It should be noted that, since the starting acceleration simulation device 7 of the electric vehicle provided by the embodiment of the present disclosure is the same as the starting acceleration simulation device 7 shown in fig. 7, the specific working principle of the starting acceleration simulation device 7 in the electric vehicle provided by the embodiment of the present disclosure may refer to the foregoing detailed description about fig. 7, and will not be repeated here.
In the method, a simulated three-dimensional model based on a human brain otolith structure is established, so that an acceleration time curve of a simulated otolith in the simulated three-dimensional model is obtained, multiple groups of starting acceleration time curves of the electric automobile are obtained according to the acceleration time curve of the simulated otolith and a driving motor rotating speed curve and a torque time curve of the electric automobile, multiple groups of starting acceleration driving control programs are 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 has short research and development period, less occupation of programming, test resources and the like, greatly reduces the cost, and accurately considers the indexes such as riding comfort, environmental friendliness, energy consumption, power performance and the like when the electric bus starts and accelerates; in addition, the accelerating development method of the electric motor coach has value of popularization to other electric automobiles (such as electric passenger cars, electric trucks and the like).
The above embodiments are merely for illustrating the technical solution of the present disclosure, and are not limiting thereof; 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the disclosure, and are intended to be included in the scope of the present disclosure.
Claims (8)
1. The starting acceleration simulation method for the electric automobile is characterized by comprising the following steps of:
establishing a simulation three-dimensional model based on a human brain otolith structure; the simulation three-dimensional model is provided with a simulation otolith device, the simulation otolith device is connected with one end of a rigid rod, and the other end of the rigid rod is connected with a rotating shaft, so that the simulation otolith device is rotationally fixed through the rotating shaft, and the simulation otolith device, the rigid rod and the rotating shaft are all arranged in a liquid;
performing dynamics simulation on the simulated three-dimensional model based on the human brain otolith structure to obtain an acceleration time curve of the simulated otolith, wherein the dynamics simulation is to control the simulated otolith to perform swinging motion under the liquid level, and perform dynamics analysis on the swinging motion to obtain the acceleration time curve;
acquiring a driving motor rotating speed curve and a torque time curve of an electric automobile, intercepting a plurality of sections of sub-curves in an acceleration time curve of the simulated otolith device, and fitting the driving motor rotating speed curve, the torque time curve and the intercepted plurality of sections of sub-curves of the electric automobile to acquire a plurality of groups of starting acceleration time curves of the electric automobile;
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 starting acceleration according to claim 1, wherein the step of obtaining a rotational speed curve and a torque time curve of a driving motor of the electric vehicle comprises:
and acquiring the vehicle type of the electric vehicle, and acquiring a driving motor rotating speed curve and a torque time curve of the electric vehicle according to the vehicle type of the electric vehicle.
3. The start acceleration simulation method according to any one of claims 1 to 2, characterized in that the acquiring the parameters of the electric vehicle includes:
and obtaining the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
4. The method for simulating start acceleration according to claim 3, wherein the obtaining a plurality of sets of start acceleration driving control programs according to the parameters of the electric vehicle and the plurality of sets of start acceleration time curves includes:
and acquiring a plurality of coordinate points in each group of starting acceleration time curves, acquiring a corresponding numerical relation table of torque-time of a plurality of groups of driving motors according to the plurality of coordinate points of each group of starting acceleration time curves and the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile, and acquiring a plurality of groups of starting acceleration driving control programs according to the corresponding numerical relation table of torque-time of the plurality of groups of driving motors.
5. The starting acceleration simulation device of the electric automobile is characterized by comprising:
the building module is used for building a simulation three-dimensional model based on the human brain otolith structure; the simulation three-dimensional model is provided with a simulation otolith device, the simulation otolith device is connected with one end of a rigid rod, and the other end of the rigid rod is connected with a rotating shaft, so that the simulation otolith device is rotationally fixed through the rotating shaft, and the simulation otolith device, the rigid rod and the rotating shaft are all arranged in a liquid;
the first acquisition module is used for carrying out dynamics simulation on the simulated three-dimensional model based on the human brain otolith structure so as to acquire an acceleration time curve of the simulated otolith device, wherein the dynamics simulation is used for controlling the simulated otolith device to do swinging motion under the liquid level and carrying out dynamics analysis on the swinging motion so as to acquire the acceleration time curve;
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, intercepting a plurality of sections of sub-curves in an acceleration time curve of the simulated otolith device, and fitting the rotating speed curve and the torque time curve of the driving motor of the electric automobile and the intercepted plurality of sections of sub-curves to acquire a plurality of groups of starting acceleration time curves of the electric automobile;
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 the target starting acceleration driving control programs.
6. The launch acceleration simulation device of claim 5, wherein the second acquisition module is specifically configured to:
and acquiring the vehicle type of the electric vehicle, and acquiring a driving motor rotating speed curve and a torque time curve of the electric vehicle according to the vehicle type of the electric vehicle.
7. The launch acceleration simulation device of any one of claims 5 to 6, wherein the third acquisition module is specifically configured to:
and obtaining the total weight, the wheel diameter, the speed ratio and the transmission efficiency of the electric automobile.
8. An electric vehicle, characterized in that the electric vehicle includes the start acceleration simulator according to any one of claims 5 to 7.
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