A pure electric vehicle multi-working condition vehicle dynamic performance simulation method and system

Abstract

The application belongs to the technical field of vehicle dynamic performance simulation, and discloses a pure electric vehicle whole vehicle dynamic performance simulation method and system under multiple working conditions, which comprises the following steps: based on a whole vehicle simulation model built by a simulation platform, setting different temperature and soc logic control over the whole vehicle; selecting an acceleration working condition, simulating the whole vehicle dynamic performance of the whole vehicle model under the control of different temperature and soc logic, and obtaining whole vehicle dynamic performance simulation parameters; and based on the obtained whole vehicle dynamic performance simulation parameters, evaluating the whole vehicle performance. By setting different temperature and SOC (state of charge) logic control, the simulation method can comprehensively simulate various working conditions of the pure electric vehicle in actual operation, so as to more accurately evaluate the dynamic performance of the whole vehicle.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of vehicle dynamic performance simulation, and particularly relates to a pure electric vehicle whole vehicle dynamic performance simulation method and system under multiple working conditions. BACKGROUND

[0002] With the development of the electric trend of the automobile industry, the powertrain research and development and whole vehicle performance simulation calculation of pure electric vehicles are paid more and more attention by the industry. The whole vehicle dynamic performance simulation under multiple working conditions of pure electric vehicles is an important link in project development, and the simulation calculation can accurately evaluate various performances in the early development, effectively shorten the project development cycle and reduce the verification test cost.

[0003] With the shortening of the development cycle, the vehicle models and items that need to be calculated by the whole vehicle simulation platform are increasing, and the whole vehicle parameters and various component parameters of each vehicle model and item are not the same, so it is difficult to artificially build a model and input parameters for each application and vehicle model within a limited time, resulting in a long project development cycle and high test cost. SUMMARY

[0004] The purpose of the application is to provide a pure electric vehicle whole vehicle dynamic performance simulation method and system under multiple working conditions to solve the problem of long project development cycle and high test cost caused by the existing simulation method.

[0005] To achieve the above purpose, the application adopts the following technical scheme:

[0006] In a first aspect, the application provides a pure electric vehicle whole vehicle dynamic performance simulation method under multiple working conditions, comprising:

[0007] A whole vehicle simulation model is built based on a simulation platform, and different temperature and soc logic is set in the whole vehicle simulation model to control the whole vehicle;

[0008] An acceleration working condition is selected, and the whole vehicle dynamic performance simulation is performed on the whole vehicle model under the control of different temperature and soc logic to obtain whole vehicle dynamic performance simulation parameters;

[0009] Based on the obtained whole vehicle dynamic performance simulation parameters, the whole vehicle performance is evaluated.

[0010] Optionally, the whole vehicle simulation model built based on the simulation platform comprises a whole vehicle simulation model built based on a multi-field system simulation integrated platform Amesim, specifically comprising

[0011] The vehicle module, the vehicle controller module, the motor module, the reducer module, the low-voltage accessory module, the battery module, the driving module and the different temperature and different SOC logic control module; the vehicle controller module, the reducer module, the driving module and the different temperature and different SOC logic control module are connected to the vehicle module; the motor module and the low-voltage accessory module are connected to the battery module, and the motor module is also connected to the vehicle controller module.

[0012] Optionally, the vehicle module provides the curb weight, the front and rear axle load distribution, the tire radius, the tire rotational inertia, the tire rolling friction coefficient, the tire sliding friction coefficient and the windward area; the vehicle controller module obtains the request and feedback parameters of the motor and the battery and inputs them to the vehicle module; the motor module provides the motor external characteristic curve, the motor peak torque, the motor rated torque, the motor maximum speed, the motor efficiency curve, the motor rotor rotational inertia and the motor energy recovery strategy, which are input to the vehicle controller module.

[0013] Optionally, the reducer module provides the speed ratio of each gear, the rotational inertia of each gear and the transmission efficiency of each gear; the low-voltage accessory module provides the power of the low-voltage accessory; the battery module provides the battery capacity, the battery voltage, the battery internal resistance and the battery SOC value; the driving module provides the working condition, the cycle mode and the accelerator pedal response time; and the different temperature and different SOC logic control module provides the discharge power map of the vehicle.

[0014] Optionally, the different temperature and different SOC logic control module inputs the discharge power map of the vehicle in the table file, and obtains the dynamic performance data of the vehicle according to different SOC, different temperature and different acceleration time simulation.

[0015] Optionally, it specifically includes:

[0016] The discharge power map includes the relationship between the SOC and the discharge power and the relationship between the temperature and the discharge power, wherein the relationship between the SOC and the discharge power

[0017] According to the discharge performance of the battery at different SOC, the corresponding relationship between the SOC and the discharge power is formulated, and in the table file, the corresponding maximum discharge power value is input according to the interval division of the SOC;

[0018] The relationship between the temperature and the discharge power

[0019] The discharge performance of the battery changes with the change of the temperature, and according to the discharge experimental data of the battery at different temperatures, the corresponding relationship between the temperature and the discharge power is formulated; in the table file, the corresponding maximum discharge power correction factor is input according to the interval division of the temperature.

[0020] Vehicle dynamic performance simulation

[0021] The whole vehicle simulation model describes the dynamic performance of the vehicle in the actual driving process, simulation parameters of vehicle mass, tire friction coefficient, air resistance coefficient are set according to the actual situation, and the discharge power of the battery at different SOC and temperature is set according to the discharge power diagram input in the table file.

[0022] Simulation calculation is carried out under different acceleration times, SOC and temperature conditions, and the simulation calculation results include the acceleration performance, maximum speed and braking distance data of the vehicle.

[0023] Optionally, the simulation data is analyzed, and the power performance indicators of the whole vehicle under high and low temperature conditions are extracted, the indicators include acceleration time, maximum speed and braking distance, and the change range of the indicators under different temperatures is determined.

[0024] In the second aspect, the present application provides a whole vehicle power performance simulation system of a pure electric vehicle under multiple working conditions, comprising:

[0025] The model building module is used for setting different temperature and different SOC logic to control the whole vehicle in the whole vehicle simulation model built based on the simulation platform.

[0026] The performance simulation module is used for selecting an acceleration working condition, and performing whole vehicle power performance simulation on the whole vehicle model under the control of different temperature and different SOC logic to obtain whole vehicle power performance simulation parameters.

[0027] The evaluation module is used for performing whole vehicle performance evaluation based on the obtained whole vehicle power performance simulation parameters.

[0028] In the third aspect, the present application provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the steps of a whole vehicle power performance simulation method of a pure electric vehicle under multiple working conditions.

[0029] In the fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of a whole vehicle power performance simulation method of a pure electric vehicle under multiple working conditions.

[0030] Compared with the prior art, the present application has the following technical effects:

[0031] The simulation method can comprehensively simulate various working conditions of the pure electric vehicle in actual operation by setting different temperature and SOC (state of charge) logic controls, so that the power performance of the vehicle is more accurately evaluated. Based on the Amesim multi-field system simulation integrated platform, the vehicle simulation model includes a vehicle, a vehicle controller, a motor, a reducer, low-voltage accessories, a battery, driving, and different temperature and SOC logic controls, and the like, so as to ensure the accuracy and reliability of the simulation.

[0032] Through simulation calculation, a plurality of power performance parameters including acceleration performance, maximum speed, braking distance, and the like can be obtained, so as to provide rich data support for vehicle performance evaluation.

[0033] The application particularly considers the influence of temperature on the discharge performance of the battery, formulates a discharge power map, and adjusts the discharge power according to the actual temperature and SOC state, so as to be more close to the actual situation. Based on the data obtained through simulation, the power performance indicators of the vehicle under high and low temperature conditions and the change range thereof can be analyzed, so as to provide a strong basis for vehicle design optimization, product improvement, and subsequent research and development. Through the simulation means for performance evaluation, the time and cost of real vehicle testing can be greatly reduced, and the research and development efficiency is improved.

[0034] The application ensures that the product has stronger competitiveness in the market by comprehensively evaluating the power performance of the vehicle, and meets the needs of consumers.

[0035] In summary, the technical scheme provides a comprehensive, accurate, and efficient pure electric vehicle power performance simulation method under multiple working conditions, which is of great significance for improving the research and development level and market competitiveness of the pure electric vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The flowchart of the application.

[0037] Figure 2 The system structure diagram of the application. DETAILED DESCRIPTION

[0038] The application is further described below in combination with the drawings:

[0039] Example 1, please refer to Figure 1 A pure electric vehicle power performance simulation method under multiple working conditions, comprising:

[0040] A vehicle simulation model is built based on a simulation platform, and different temperature and SOC logic controls are set in the vehicle simulation model to control the vehicle;

[0041] An acceleration working condition is selected, the vehicle model is simulated for vehicle power performance under different temperature and SOC logic controls, and vehicle power performance simulation parameters are obtained.

[0042] Based on the obtained whole vehicle dynamic performance simulation parameters, the whole vehicle performance is evaluated.

[0043] The simulation method can comprehensively simulate various working conditions of the pure electric vehicle in actual operation by setting different temperature and SOC (state of charge) logical control, so that the dynamic performance of the whole vehicle is more accurately evaluated. Based on the Amesim multi-field system simulation integrated platform, the whole vehicle simulation model includes a plurality of modules such as a vehicle, a whole vehicle controller, a motor, a reducer, low-voltage accessories, a battery, driving and different temperature and different SOC logical control, so as to ensure the accuracy and reliability of the simulation.

[0044] In embodiment 2, the application provides a whole vehicle dynamic performance simulation method under multiple working conditions of a pure electric vehicle, which specifically comprises:

[0045] The whole vehicle simulation model is built based on a simulation platform, and different temperature and different SOC logical control is set in the whole vehicle simulation model to control the whole vehicle;

[0046] The vehicle module, the whole vehicle controller module, the motor module, the reducer module, the low-voltage accessory module, the battery module, the driving module and the different temperature and different SOC logical control module are connected to the vehicle module; the motor module and the low-voltage accessory module are connected to the battery module, and the motor module is also connected to the whole vehicle controller module.

[0047] The vehicle module includes the curb weight, the front and rear axle load distribution, the tire radius, the tire rotational inertia, the tire rolling friction coefficient, the tire sliding friction coefficient and the windward area;

[0048] The whole vehicle controller module includes the request and feedback parameters of the motor and the battery;

[0049] The motor module includes the motor external characteristic curve, the motor peak torque, the motor rated torque, the motor maximum speed, the motor efficiency curve, the motor rotor rotational inertia and the motor energy recovery strategy;

[0050] The reducer module includes the speed ratio of each gear, the rotational inertia of each gear and the transmission efficiency of each gear;

[0051] The low-voltage accessory module includes the power of the low-voltage accessories;

[0052] The battery module includes the battery capacity, the battery voltage, the battery internal resistance and the battery SOC value;

[0053] The driver module includes the working condition, the cycle mode and the accelerator pedal response time;

[0054] Under the selected acceleration working condition, the vehicle model is subjected to vehicle dynamic performance simulation under different temperature and soc logical control to obtain vehicle dynamic performance simulation parameters;

[0055] The different temperature and soc logical control module inputs the vehicle charging and discharging power MAP graph under different temperatures in the table file, sets the simulation requirement of different soc and different temperatures, dynamically adjusts the normal discharging power limit value, thereby obtains the acceleration time under different working conditions, and obtains the simulation data of the dynamic performance of the vehicle;

[0056] The simulation method is provided for the influence of different temperatures and soc on the vehicle dynamic performance index, the related performance simulation is carried out through the simulation software, the high and low temperature vehicle dynamic performance index is quantified, and the guiding suggestion is provided for performance development.

[0057] Based on the obtained vehicle dynamic performance simulation parameters, the vehicle performance is evaluated.

[0058] The discharging power graph includes the relationship between SOC and discharging power and the relationship between temperature and discharging power, wherein the relationship between SOC and discharging power

[0059] According to the discharging performance of the battery under different SOC, the corresponding relationship between SOC and discharging power is formulated, in the table file, according to the interval division of SOC, the corresponding maximum discharging power value is inputted;

[0060] The relationship between temperature and discharging power

[0061] The discharging performance of the battery changes with temperature, according to the discharging experimental data of the battery under different temperatures, the corresponding relationship between temperature and discharging power is formulated, in the table file, according to the interval division of temperature, the corresponding maximum discharging power correction factor is inputted.

[0062] Vehicle dynamic performance simulation

[0063] The vehicle simulation model describes the dynamic performance of the vehicle in the actual driving process, according to the actual situation, the simulation parameters of vehicle mass, tire friction coefficient and air resistance coefficient are set, and the discharging power of the battery under different SOC and temperature is set according to the discharging power graph inputted in the table file.

[0064] Simulation calculation is carried out under different acceleration time, SOC and temperature conditions, and the simulation calculation result includes the acceleration performance, maximum speed and braking distance data of the vehicle.

[0065] The data obtained through simulation is analyzed, and the dynamic performance index of the vehicle under high and low temperature conditions is extracted, the index includes acceleration time, maximum speed and braking distance, and the change range of the index under different temperatures is determined.

[0066] In another embodiment of the present application, a pure electric vehicle multi-working condition vehicle power performance simulation system is provided, which can be used to realize the pure electric vehicle multi-working condition vehicle power performance simulation method described above. Specifically, the system comprises:

[0067] A model building module is configured to set different temperature and SOC logic control over the vehicle in the vehicle simulation model built based on the simulation platform;

[0068] A performance simulation module is configured to select an acceleration working condition, perform vehicle power performance simulation on the vehicle model under the control of different temperature and SOC logic, and obtain vehicle power performance simulation parameters;

[0069] An evaluation module is configured to perform vehicle performance evaluation based on the obtained vehicle power performance simulation parameters.

[0070] The model building module of the system can quickly build a vehicle simulation model on the simulation platform and flexibly set different temperature and SOC logic control over the vehicle. This high degree of integration and flexibility enables the system to adapt to different vehicle models and various simulation requirements.

[0071] The performance simulation module can perform comprehensive power performance simulation on the vehicle model under the control of different temperature and SOC logic in the selected acceleration working condition. By simulating various actual driving conditions, the system can accurately obtain vehicle power performance simulation parameters.

[0072] The evaluation module can perform accurate vehicle performance evaluation based on the simulated vehicle power performance parameters. This evaluation result can provide strong data support for vehicle design optimization, product improvement, and subsequent research and development.

[0073] Performance evaluation through the simulation system can greatly reduce the time and cost of real vehicle testing and improve research and development efficiency. Engineers can quickly verify design schemes in the simulation environment and make timely modifications to deficiencies.

[0074] The system can simulate vehicle performance under various working conditions to predict the performance of the vehicle in actual use. This predictability and foresight enable the system to discover and solve potential problems during the product development stage, improving the reliability and competitiveness of the product.

[0075] Comprehensive evaluation of vehicle power performance through the simulation system can provide consumers with more accurate and reliable product information. Consumers can understand the performance characteristics of the product based on the simulation results, thereby making more informed purchase decisions.

[0076] In summary, the pure electric vehicle multi-working condition vehicle dynamic performance simulation system has the advantages of high integration, flexibility, comprehensive simulation capability, accurate evaluation results, high efficiency, predictability and forward-looking, user experience optimization and technology innovation promotion, etc. These advantages make the system an indispensable important tool in the development process of electric vehicles.

[0077] The division of the modules in the embodiments of the present application is illustrative, and is only a logical functional division. In actual implementation, another division manner can be used. In addition, each functional module in each embodiment of the present application can be integrated in one processor, or can be a separate physical existence, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module.

[0078] In another embodiment of the present application, a computer device is provided, which includes a processor and a memory. The memory is configured to store a computer program, and the computer program includes program instructions. The processor is configured to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor is the computing core and control core of the terminal, and is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement a corresponding method flow or a corresponding function. The processor in the embodiments of the present application can be used for the operation of the pure electric vehicle multi-working condition vehicle dynamic performance simulation method.

[0079] In still another embodiment of the present application, the present application also provides a storage medium, specifically a computer readable storage medium (Memory), which is a memory device in a computer device, used for storing programs and data. It can be understood that the computer readable storage medium herein can include the built-in storage medium in the computer device, and of course can also include the expansion storage medium supported by the computer device. The computer readable storage medium provides a storage space, which stores the operating system of the terminal. Moreover, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. The one or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to realize the corresponding steps of the above-mentioned embodiment about the pure electric vehicle whole vehicle dynamic performance simulation method under multiple working conditions.

[0080] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code thereon.

[0081] The present application is described in reference to the flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with the function specified in one or more flows or blocks.

[0082] These computer program instructions can also be stored in a computer readable memory capable of directing the computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer readable memory produce a product including instruction apparatus, which realizes the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocksFigure 1 the function specified in the one or more blocks.

[0083] These computer program instructions can also be loaded into computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable data processing devices to generate computer-implemented processing, so that the instructions executed on the computer or other programmable data processing devices provide a process for implementing the flow Figure 1 the flow or flows and / or blocks Figure 1 the steps of the function specified in the one or more blocks.

[0084] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, but not to limit it, although the above embodiments of the present application have been described in detail, those skilled in the art should understand: the specific embodiments of the present application can be modified or replaced by the same, without departing from the spirit and scope of the present application, any modification or equivalent replacement, which should be covered within the scope of protection of the claims of the present application.

Claims

1. A pure electric vehicle power performance simulation method under multiple working conditions, characterized in that, The application comprises the following steps: building a whole vehicle simulation model based on a simulation platform, setting different temperature and different SOC logic control over the whole vehicle simulation model; selecting an acceleration working condition, simulating the whole vehicle dynamic performance under the control of different temperature and different SOC logic, and obtaining whole vehicle dynamic performance simulation parameters; evaluating the whole vehicle performance based on the obtained whole vehicle dynamic performance simulation parameters; inputting the discharge power map of the whole vehicle in the table file according to different SOC, different temperature and different acceleration time simulation to obtain the dynamic performance data of the whole vehicle; The application specifically comprises the following steps: formulating the discharge power map, including the relationship between SOC and discharge power and the relationship between temperature and discharge power; formulating the corresponding relationship between SOC and discharge power according to the discharge performance of the battery at different SOC, inputting the corresponding maximum discharge power value in the table file according to the interval division of SOC; the discharge performance of the battery changes with temperature, formulating the corresponding relationship between temperature and discharge power according to the discharge experimental data of the battery at different temperature, inputting the corresponding maximum discharge power correction factor in the table file according to the interval division of temperature; the whole vehicle simulation model describes the dynamic performance of the vehicle in the actual driving process, the simulation parameters of the vehicle mass, tire friction coefficient and air resistance coefficient are set according to the actual situation, and the discharge power of the battery at different SOC and temperature is set according to the input discharge power map in the table file; the simulation calculation is carried out under different acceleration time, SOC and temperature conditions, and the simulation calculation results include the acceleration performance, maximum speed and braking distance data of the vehicle.

2. The pure electric vehicle power performance simulation method under multiple working conditions according to claim 1, characterized in that, The whole vehicle simulation model built based on the simulation platform comprises the following steps: building the whole vehicle simulation model based on the multi-domain system simulation integrated platform Amesim, specifically comprising the following steps:

3. The pure electric vehicle power performance simulation method under multiple working conditions according to claim 2, characterized in that, a vehicle module, a whole vehicle controller module, a motor module, a reducer module, a low-voltage accessory module, a battery module, a driving module and a different temperature and different SOC logic control module; the whole vehicle controller module, the reducer module, the driving module and the different temperature and different SOC logic control module are connected to the vehicle module; the motor module and the low-voltage accessory module are connected to the battery module, and the motor module is also connected to the whole vehicle controller module.

4. The pure electric vehicle power performance simulation method under multiple working conditions according to claim 2, characterized in that, The vehicle module provides the curb weight, front and rear axle load distribution, tire radius, tire rotational inertia, tire rolling friction coefficient, tire sliding friction coefficient and wind area; the whole vehicle controller module obtains the request and feedback parameters of the motor and the battery and inputs them into the whole vehicle module; the motor module provides the motor external characteristic curve, motor peak torque, motor rated torque, motor maximum speed, motor efficiency curve, motor rotor rotational inertia and motor energy recovery strategy, which are input into the whole vehicle controller module. The reducer module provides the speed ratio of each gear, the rotational inertia of each gear and the transmission efficiency of each gear. The low-voltage accessory module provides power for low-voltage accessories; the battery module provides battery capacity, battery voltage, battery internal resistance and battery SOC value; the driving module provides working conditions, cycle modes and accelerator pedal response time; and the different-temperature different-soc logic control module provides discharge power maps of the whole vehicle.

5. The pure electric vehicle power performance simulation method under multiple working conditions according to claim 1, characterized in that, The data obtained through simulation are analyzed, and power performance indexes of the whole vehicle under high-temperature and low-temperature conditions are extracted, the indexes including acceleration time, maximum speed and braking distance, and the change ranges of the indexes under different temperatures are determined.

6. A pure electric vehicle power performance simulation system under multiple working conditions, used to realize the pure electric vehicle power performance simulation method under multiple working conditions according to any one of claims 1 to 5, characterized in that, The method comprises the following steps: a model building module, configured to build a whole vehicle simulation model based on a simulation platform, and set different-temperature different-soc logic to control the whole vehicle in the whole vehicle simulation model; a performance simulation module, configured to select an acceleration working condition, and perform whole vehicle power performance simulation on the whole vehicle model under the control of different-temperature different-soc logic to obtain whole vehicle power performance simulation parameters; an evaluation module, configured to perform whole vehicle performance evaluation based on the obtained whole vehicle power performance simulation parameters.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the whole vehicle power performance simulation method for a pure electric vehicle under multiple working conditions according to any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 7. The computer program is executed by the processor to realize the steps of the whole vehicle power performance simulation method for a pure electric vehicle under multiple working conditions according to any one of claims 1 to 5.

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