Performance Optimization Of Dual Motors Driving Pure Electric Vehicle

Due to the increasingly serious environmental pollution caused by automobile exhaust and the gradual lack of oil resources,the pure electric vehicle has been paid close attention by the countries all over the world,because of its low noise and zero emission,etc.However,the spread of the pure electric vehicle is limited by the climbing performance,acceleration performance and driving distance.This paper takes a SUV as the prototype,transformed to a pure electric vehicle driven by dual motors,in order to improve the power and economy,designing a multi-objective optimization algorithm to optimize the power system parameters,and building the hardware in loop simulation platform.The main contents of this paper are as follows:(1)According to the parameters of the pure electric vehicle and the performance index,going on the selection and parameters matching of the drive motors,the main reducer and the power battery.(2)Respectively using AVL CRUISE software and Matlab/Simulink to establish the model of the pure electric vehicle driven by dual motors.Then establishing control strategies by Matlab/Simulink to achieve front drive,rear drive,four wheel drive and energy recovery.Finally,verifying the correctness of the power system parameters,vehicle models and control strategies by simulation.(3)Desiging QG-SA algorithm based on the quantum genetic algorithm and simulated annealing algorithm,using Visual Studio' C#language to write interface program,and achieving the optimization of power system parameters by the mixed programming of MATLAB and C#language.Finally,carrying out simulation experiments using the parameters before and after optimization.The results show that the optimized performance is improved greatly.(4)Building the hardware in loop platform,and verifying the feasibility of the control strategies and the QG-S A algorithm under the real time environment.