摘要
针对前后轴双电机电动汽车的效率提升问题,在对前后轴双电机方案效率特性研究的基础上,设计了基于电机效率最优和基于电池效率最优的前后轮双电机转矩分配方法。研究发现这两种效率最优的方法在转矩分配上存在冲突现象,因此,采用一种多目标粒子群优化算法求得同时兼顾电机效率和电池效率的最优策略,从而避免两种策略同时工作时出现的竞争现象。仿真和实验结果表明,采用多目标粒子群优化算法的前后轴双电机转矩分配方案可以提高电动汽车的系统效率和续航里程。整车动力学分析表明,采用多目标粒子群优化算法的前后轴双电机转矩分配方案不会对整车的稳定性和平顺性产生影响。
The promotion of front and rear independent drive strategy efficiency is discussed,and two efficiency-optimized of front and rear motor torque distribution strategies are proposed,which concern not only the motor but also the battery’ s efficiency. Meanwhile,a multi-objective particle swarm optimization was used to make sure both of the above efficiency-optimized strategies work without conflict. The multiobjective particle swarm optimization strategy was verified both in simulation and experiment,and the results show that the proposed strategy can improve electrical vehicle’s efficiency and endurance mileage.Also,the vehicle dynamics analysis shows that the proposed strategy will not affect the stability and smoothness of the vehicle.
作者
漆星
王群京
陈龙
操进
张倩
李国丽
QI Xing;WANG Qun-jing;CHEN Long;CAO Jin;ZHANG Qian;LI Guo-li(School of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;National Engineering Laboratory of Energy-Saving Motor&Control Technology,Anhui University,Hefei 230601,China;Engineering Research Center of Power Quality,Ministry of Education,Anhui University,Hefei 230601,China;Anhui Province Laboratory of Industrial Energy-Saving andSafety,Anhui University,Hefei 230601,China;Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control,Anhui University,Hefei 230601,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2020年第3期62-70,78,共10页
Electric Machines and Control
基金
国家自然科学基金(51507001)。
关键词
分布式驱动
前后轴双电机
效率最优
转矩分配
多目标粒子群算法
distributed electrical vehicle drive
front and rear independently drive
efficiency-optimized
torque distribution
multi-objective particle swarm optimization
