Co-optimization design of electric vehicle dual-motor drive system based on driving cycle
The coupling operation of dual-motor system needs to be considered in the optimal design of dual-motor.In the traditional optimization methods,the method of estimating efficiency Map is often used to obtain the optimal torque distribution coefficient of the dual-motor system.However,the error caused by the estimation method cannot be ignored in the optimal design of high-efficiency motor.In addition,the control strategies of the motor are also different under different working conditions.In order to improve the operating efficiency of dual-motor drive system under all operating conditions,based on two kinds of driving cycles,a collaborative optimization design method of dual-motor for electric vehicle is systematically proposed in this paper.Firstly,the parameters of the primary motor are obtained by parameter matching,and then the Map calculation method of motor efficiency based on semi-analyt-ical model is proposed.Based on this method,the optimal torque distribution and control strategy of dual-motor system under different working conditions are studied.Then based on the particle swarm optimization algorithm,considering the control strategy of the motor under different operating conditions,the parameters of the dual motor are optimized under all working conditions.Finally,a hardware-in-the-loop experimental platform is built.Simula-tion and experimental results show that the proposed optimization method can improve the operation efficiency of the dual-motor drive system.
electric vehiclesdual motordriving cyclescoupling designcollaborative optimization
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