基于博弈论的电动汽车轮毂电机热源损耗优化  

Optimal design of in-wheel motor loss based on game theory

作　　者：徐钰航 赵峰[1] 高锋阳[1] Xu Yuhang;Zhao Feng;Gao Fengyang(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学自动化与电气工程学院,兰州730070

出　　处：《电测与仪表》2023年第4期34-40,共7页Electrical Measurement & Instrumentation

基　　金：国家重点研发计划资助项目(2018YFB1201602)。

摘　　要：为降低具有高功率、高转矩密度等特点的电动汽车轮毂电机热源损耗,提出了基于博弈论的外转子式永磁同步轮毂电机的多目标优化设计方法。文中应用磁路法推导了电机各项损耗的解析表达式;并以定子槽形的尺寸为设计变量,以定子铁耗、绕组铜耗、永磁体涡流损耗和电机效率为优化目标,建立电机优化设计数学模型;最后应用基于博弈论的多目标优化算法(Game Theory Optimization Algorithm,GTO),同时结合改进粒子群算法(Advanced Particle Swarm Optimization Algorithm,APSO)对电机定子槽型进行优化设计,并借助有限元仿真软件进行了辅助计算。研究结果表明:相较于原设计方案,优化后电机功率损耗减少32.6%,效率提高6.12%。In order to reduce the loss of in-wheel motor of electric vehicle with high power and high torque density,a multi-objective optimal design method of outer rotor permanent magnet synchronous in-wheel motor based on game theory is proposed in this paper.The analytical expressions of various losses of the motor are derived by using the magnetic circuit method.The stator slot size is taken as the design variable,and the stator iron loss,winding copper loss,permanent magnet eddy current loss and motor efficiency are taken as the optimization objectives to establish the mathematical model of the optimal design of the motor.Finally,the advanced particle swarm optimization algorithm(APSO)and the multi-objective optimization algorithm based on game theory(GTO)are used to optimize the structure of the stator slot size of motor.Moreover,the correctness of the calculation results is verified by the finite element simulation.The research results show that compared with the original design,the power loss of the optimized motor is reduced by 32.6%and the efficiency is increased by 6.12%.

关 键 词：博弈论 轮毂电机 多目标优化 有限元分析 

分 类 号：TM351[电气工程—电机]