功率分流式混合动力汽车整车参数匹配与优化研究  

Research on parameter matching and optimization of power split hybrid electric vehicle

作　　者：王欢 崔露兴 葛帅帅[1] 张志刚[1] WANG Huan;CUI Luxing;GE Shuaishuai;ZHANG Zhigang(Key Laboratory of Advanced Manufacturing Technology for Automobile Parts,Chongqing University of Technology,Chongqing 400054,China;The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆400054 [2]重庆大学机械传动国家重点实验室,重庆400044

出　　处：《现代制造工程》2024年第2期53-60,共8页Modern Manufacturing Engineering

基　　金：国家自然科学基金项目(52005067,52172355);重庆市自然科学基金项目(cstc2021jcyj-msxmX0555);重庆市教育委员会科学技术研究计划项目(KJQN202201159)。

摘　　要：针对功率分流式混合动力汽车,首先根据整车设计参数及动力性能目标要求,分别对电机、动力电池组、发动机、主减速器和行星排等传动系统部件进行参数匹配,并运用AVL-Cruise软件建立目标车辆整车模型;其次在满足动力性能目标的前提下,运用AVL-Cruise和Isight软件搭建联合仿真模型,分别采用粒子群优化算法和多岛遗传算法,将行星排特征参数和主减速器传动比作为优化参数,百公里油耗和电耗加权之和作为优化目标进行优化研究,并对比分析2种优化算法的计算结果来获得兼顾动力性能和经济性的最优结构参数,为研究功率分流式混合动力汽车传动系统提供理论依据。For power split hybrid electric vehicles,firstly,based on the design parameters and power performance requirements of the entire vehicle,parameter matching was performed on the transmission system components such as the motor,power battery pack,engine,main reducer,and planetary gear,and AVL-Cruise software was used to establish the target vehicle model.Secondly,on the premise of meeting the power performance goals,a joint simulation model was built using AVL-Cruise and Isight software,using particle swarm optimization algorithm and multi island genetic algorithm respectively.The planetary gear characteristic parameters and main reducer transmission ratio were used as optimization parameters,and the weighted sum of fuel and electricity consumption per 100 km was used as the optimization objective for optimization research.The calculation results of the two optimization algorithms were compared and analyzed to obtain the optimal structural parameters that balance power and economy,which provide a theoretical basis for studying the power split hybrid electric vehicle transmission system.

关 键 词：功率分流式 混合动力汽车 参数匹配 粒子群优化算法 优化研究 

分 类 号：U463.2[机械工程—车辆工程]