轮边电机驱动型电动汽车动力系统参数优化设计  

Optimization design of powertrain parameter for in-wheel motor driven electric vehicles

作　　者：龚贤武[1] 唐自强[2] 赵轩[2] 许世维[2] 贺伊琳[2] 

机构地区：[1]长安大学电子与控制工程学院,陕西西安710064 [2]长安大学汽车学院,陕西西安710064

出　　处：《合肥工业大学学报（自然科学版）》2017年第1期24-30,共7页Journal of Hefei University of Technology：Natural Science

基　　金：国家高技术研究发展计划(863计划)资助项目(2012AA111106);国家自然科学基金青年科学基金资助项目(51507013);中央高校基本科研业务费专项资金资助项目(2014G1321040;310822151025);陕西省自然科学基础研究计划资助项目(2016JQ5012);陕西省工业科技攻关资助项目(2016GY-043)

摘　　要：文章对轮边电机驱动型电动汽车动力传动系统参数进行了优化设计。依据行驶工况高频车速区间与电机高效区域相重合的原则以及满足整车性能指标的要求,引入工况加权因子,对轮边电机和蓄电池参数进行了匹配;以整车动力性指标为约束、整车加权工况平均能量消耗最小为目标,分别采用粒子群算法(particle swarm optimization,PSO)和遗传算法(genetic algorithm,GA)对固定挡速比进行了优化设计;并基于Matlab/Simulink搭建的整车性能仿真平台,对整车性能进行了仿真分析。仿真结果表明,整车性能均能满足设计要求;通过与以单循环NEDC工况能耗最小为目标的速比优化结果的对比,表明以加权工况平均能耗最小为目标的速比优化设计方法能够兼顾不同工况下能耗经济性,具有较好的适用性。The powertrain parameters for electric vehicles driven： by in-wheel motor were designed. Firstly, according to the principle which makes the speed range of driving condition and the high effi- ciency range of the motor coincide, and the performance requirements of vehicle, a weighting factor of driving condition was introduced, and the parameters of the motor and the battery were matched. Then treating the vehicle dynamics indicators as constraint, and treating the minimal average energy consumption of weighting driving condition as target, the fixed gear ratio was designed respectively by particle swarm optimization（PSO） and genetic algorithm（GA）. The vehicle performance was simula- ted and analyzed by the vehicle performance simulation platform which is built on Matlab/Simulink. The simulation results show that the vehicle performance can meet the design requirements; compa- ring with the result of ratio optimization whose target is the minimal energy consumption of single NEDC condition, it is shown that the gear ratio optimization design method can take into account the energy consumption of different economic conditions, whose target is the minimal average energy con- sumption of weighting driving condition, and this method has better applicability.

关 键 词：电动汽车 轮边驱动 参数匹配 速比优化 智能算法 

分 类 号：U469.72[机械工程—车辆工程]