摘要
为某两挡变速器纯电动汽车选择其动力系统驱动电机的转矩、功率和转速以及蓄电池的容量和数目。以汽车原地起步加速时间和续驶里程分别作为纯电动汽车的动力性和经济性的两个分目标函数,引入加权因子,建立了纯电动汽车动力性和经济性双目标函数下的传动比优化模型,并利用基于模拟退火的粒子群优化算法进行了优化。结果表明,与普通fm incon优化函数的优化相比,该算法在某组加权因子下,得到了动力性和经济性都较好的结果。
The torque,power and speed of driving motor as well as the capacity and number of battery are selected for a two-speed electric vehicle.Standing start acceleration time and driving range are respectively taken as two sub-objective functions for the power performance and energy economy of the vehicle.By introducing weighting factors,a transmission ratios optimization model for the dual objective function of the vehicle is built,and an optimization is performed by using simulated annealing-based particle swarm optimization（PSO） algorithm.The results show that compared with the common optimization with fmincon function,the PSO algorithm achieves better results in both power performance and economy with a specific combination of weighting factors.
出处
《汽车工程》
EI
CSCD
北大核心
2011年第9期792-797,828,共7页
Automotive Engineering
基金
中央高校基本科研业务费专项(531107040149)
教育部长江学者与创新团队发展计划项目(531105050037)
湖南大学汽车车身先进设计制造国家重点实验室自主研究课题项目(60870002)资助
关键词
纯电动汽车
动力性
经济性
双目标优化
传动比
粒子群优化
electric vehicle
power performance
economy
dual objective optimization
transmission ratio
PSO
