基于粒子群算法的纯电动商用车转矩分配策略  

Torque distribution strategy for pure electric commercial vehicles based on particle swarm optimization

作　　者：田韶鹏[1] 方正 TIAN Shaopeng;FANG Zheng(School of Automotive Engineering,Wuhan University of Technology,Wuhan,Hubei 430070,China)

机构地区：[1]武汉理工大学汽车工程学院,湖北武汉430070

出　　处：《江苏大学学报（自然科学版）》2025年第1期1-8,27,共9页Journal of Jiangsu University：Natural Science Edition

基　　金：广西重点研发计划项目(桂科AA22414);佛山仙湖实验室开放基金资助项目(41200303)。

摘　　要：针对纯电动商用车采用双电动机驱动时存在的转矩分配问题,提出基于粒子群算法的模糊控制策略.首先在Simulink/Stateflow软件中搭建整车动力系统物理模型,以粒子群算法为基础,进行整车转矩分配.由于计算量大,无法运用于实车,故根据粒子群算法的结果,结合传统项目经验,设计一个参数实时调节模糊控制器来进行转矩分配.该方法运行速度快,且基本达到粒子群全局优化的效果.验证与分析结果表明:与原车单电动机动力系统相比,采用该方法的双电动机动力系统能量消耗减少了12.08%;在双电动机动力系统下,该方法与平均分配控制策略相比,电动机总能量损失降低了13.09%.To solve the torque distribution problem of pure electric commercial vehicles driven by dual motors,the fuzzy control strategy based on particle swarm optimization(PSO)was proposed.The physical model of the vehicle power system was established in Simulink/Stateflow software,and the vehicle torque was distributed based on PSO algorithm.Due to the large amount of calculation and being not suitable for the real vehicles,according to the calculation results of PSO algorithm and the traditional project experience,the fuzzy controller with real-time parameter adjustment was designed to carry out torque distribution with high running speed and basically global optimization effect of PSO.The verification and analysis results show that compared with the original single motor power system,the energy consumption of the dual motor power system is reduced by 12.08%.Compared with the average distribution control strategy,the total motor loss is reduced by 13.09%in dual motor power system.

关 键 词：纯电动商用车 双电动机驱动 转矩分配 粒子群算法 模糊控制策略 

分 类 号：U462.3[机械工程—车辆工程]