摘要
针对双电机驱动的纯电动客车转矩分配问题,采用模拟退火和粒子群的混合优化算法以寻求转矩分配后整车能耗最小的方案。通过对双电机客车整车结构和性能参数的分析,确定了计算整车能耗的数学模型,在满足整车需求转矩的前提下,根据电机转速和效率特性并引入模拟退火和带压缩因子的粒子群算法相结合的优化算法对双电机需求转矩进行分配。对该方法进行了中国典型城市公交循环(China city bus cycle,CCBC)工况的仿真和台架试验,结果表明:该算法实现了对电动客车双电机系统转矩的优化分配,整车在1个循环工况下的能耗降低了3.2%。
Aiming at the problem of torque distribution of pure electric buses driven by dual motors,a hybrid optimization algorithm of simulated annealing and particle swarm optimization was used to find a solution that minimizes vehicle energy consumption after torque distribution.Through the analysis of the structure and performance parameters of dual-motor bus,the mathematical model for calculating the energy consumption of the entire vehicle was determined.On the premise of satisfying the demand torque of the whole vehicle,an optimization algorithm combining simulated annealing and particle swarm optimization with compression factor was introduced to allocate the demand torque of dual-motor according to the motor speed and efficiency characteristics.The simulation and bench test of the method under China city bus cycle(CCBC)operating conditions show that the algorithm realized the optimal distribution of the torque of the dual-motor system of electric buses,and the energy consumption of the whole vehicle under one cycle operating conditions was reduced by 3.2%.
作者
王琳
李军伟
朱青松
孙宾宾
WANG Lin;LI Junwei;ZHU Qingsong;SUN Binbin(School of Traffic and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255049, China)
出处
《中国科技论文》
CAS
北大核心
2021年第8期883-889,共7页
China Sciencepaper
基金
国家自然科学基金资助项目(51805301)。
关键词
双电机驱动的纯电动客车
驱动转矩分配
模拟退火和粒子群的混合优化算法
仿真与台架试验
pure electric bus driven by dual motors
driven torque distribution
simulated annealing and particle swarm optimization algorithm
simulation and bench test
