Simulation system for dynamic property of pure electric automobile

Abstract

The invention relates to a simulation system for dynamic property of a pure electric automobile. The system is characterized by comprising a battery module, a motor module, a whole vehicle module, a controller module, a cycle working condition module and a display module, wherein the whole vehicle module also comprises a brake module which comprises an attachment sub-module; and the controller module performs control by using PWM chopping. The system simulates the working conditions of flat ground, climbing and cycle based on matlab software. The simulation system for the dynamic property of the pure electric automobile not only can perform analog simulation on three indexes of the dynamic property of the automobile, namely the maximum speed, the acceleration capacity and the maximum climbing capacity, but also can perform the analog simulation on the cycle working condition so as to predict the driving range of the automobile; and the system also can perform the analog simulation on the braking condition of the automobile so as to predict the minimum braking distance and braking time of the automobile; therefore, a user can optimize the optimal transmission ratio of the automobile by using a matrix operation mode so as to improve the dynamic property and the driving range of the automobile.

Description

technical field [0001] The invention relates to a dynamic performance simulation system of a pure electric vehicle. Background technique [0002] The power matching of pure electric vehicles involves the battery, motor and its controller, transmission ratio of the drive train and some parameters of the whole vehicle. How to select the battery, motor and its controller according to the overall parameters of the whole vehicle before the product is manufactured, The transmission ratio of the transmission system is very important to predict whether the pure electric vehicle meets the power and driving range requirements required by the manufacturer, so as to guide the selection of related parameters such as the battery, the motor and its controller, and the transmission ratio of the transmission system. question. [0003] At present, there are two main methods: one is the graphical method, which is simple and fast, but it considers fewer factors, cannot predict some specific mo...

AI Technical Summary

Problems solved by technology

[0003] At present, there are two main methods: one is the graphical method, which is simple and quick, but it considers fewer factors, cannot predict some specific motor characteristics, has weak optimization functions, and can hardly effectively judge the driving range of pure electric vehicles. Therefore, the accuracy is also lower

The other is to turn it into a software program through theoretical modeling, but due to different program structures and differences in specific models, the simulation accuracy of different software is different.

[0004] In the current pure electric vehicle power simulation field, almost all software is based on the traditional internal combustion engine dynamic simulation as the core, that is, the motor module is simulated by directly inputting the external characteristics of the motor, and its essence is still an internal combustion engine. Due to the difference between the characteristics of the motor and the internal combustion engine when it operates under different working conditions, such as the fluctuation of the external characteristics is larger than that of the internal combustion engine, etc., it leads to the disadvantages of insufficient precision in the simulation of pure electric vehicle dynamics, and it is also not conducive to optimizing some of the internal components of the motor. parameters to optimize automotive-related performance

Images