摘要
为研究搭载两挡电控机械式自动变速器(AMT)车辆的传动系统速比对整车性能的影响,以某款纯电动物流车为研究对象,根据整车基本参数对车辆驱动电机、电池组和传动系统速比进行匹配设计,基于AVL_CRUISE仿真平台建立整车模型,通过仿真验证匹配参数的合理性,选用粒子群优化(PSO)算法,以提升整车动力性和经济性为目标,对匹配两挡AMT的传动系统速比进行优化。仿真结果表明:优化后纯电动物流车速度由0 km/h加速至100 km/h的加速时间缩短了2.31 s,单个新欧洲驾驶循环(NEDC)工况下整车能耗降低了3.14%,整车的动力性和经济性明显改善。
To investigate the influence of transmission system speed ratio of vehicle equipped with 2-speed AMT on vehicle’s performance,this paper,taking a pure electric logistics vehicle as an research object,matched and designed the vehicle’s driving motor,battery pack and transmission system speed ratio according to the vehicle’s basic parameters.The vehicle model was established based on the AVL_CRUISE simulation platform,the rationality of matching parameters was verified by simulation,and Particle Swarm Optimization(PSO)algorithm was selected to improve the vehicle’s power and economy,and the speed ratio of transmission system matching two-gear AMT was optimized.The simulation results show that the 0-100 acceleration time of the pure electric logistics vehicle is shortened by 2.31 s after optimization,the energy consumption of the vehicle is reduced by 3.14%under single NEDC cycle condition,and the power performance and economy of the vehicle are obviously improved.
作者
蒲磊
郑伟光
Pu Lei;Zheng Weiguang(Dongfeng Liuzhou Automobile Co.,Ltd.,Liuzhou 545004;Guangxi University of Science and Technology,Liuzhou 545004)
出处
《汽车工程师》
2023年第5期20-25,共6页
Automotive Engineer
基金
广西科技计划项目(桂科AA22068060)
柳州市科技计划项目(2021AAA0104,2022AAA0102)
柳东科技计划项目(20210117)。
关键词
纯电动物流车
传动系统
粒子群优化算法
Pure electric logistics vehicle
Transmission system
Particle Swarm Optimization(PSO)
