摘要
提出一种兼顾能量回收和制动性能要求的电动车制动力分配策略,建立了制动力分配的约束优化问题,并使用遗传算法来解决这一问题。制动力分配优化问题全面考虑了电机的可用制动转矩和最高转速限制、电池的最大充电功率限制以及汽车制动性能方面的要求。仿真结果表明:优化策略能够充分利用电机的制动转矩,保证汽车的制动性能,并使能量回收最大。与并联策略相比,采用优化方法,汽车在典型道路循环上的能量回收效率大大提高。
The braking force distribution for an electric vehicle is described as a constrained optimization problem,in which both the energy recovery and brake performance are taken into account,and the genetic algorithm is used to solve the problem.The optimization problem of braking force distribution has a comprehensive consideration on the braking torque demand,the motor available braking torque,the maximum charge power of battery and brake performance requirement.Simulation results show that the optimization strategy takes advantage of the braking torque of the electric motor,making maximum recovery energy,together with good brake performance.Compared with the parallel strategy,our optimization strategy can obtain higher energy regeneration for typical driving cycles.
出处
《机械科学与技术》
CSCD
北大核心
2011年第9期1495-1499,共5页
Mechanical Science and Technology for Aerospace Engineering
基金
江苏省基础研究计划项目(自然科学基金)(BK2009144)
国家自然科学基金项目(11072183)
汽车安全与节能国家重点实验室开放基金项目(KF10092)资助
关键词
电动车
能量回收
制动力分配
优化
遗传算法
electric vehicle
energy recovery
braking force distribution
optimization
genetic algorithm
