基于优化功率跟随控制的E-REV能量管理策略研究

E-REV Energy Management Strategy Based on Optimized Power Following Control

基于功率跟随控制的增程式电动汽车能量管理策略具有减缓电池寿命衰减与提高车辆NVH性能等优势,但存在阈值参数依赖性强、增程器启停频繁等问题,为此提出了一种基于优化功率跟随控制的E-REV能量管理策略。依据车速、SOC状态与驾驶员的加速踏板力度等信息特征,制定基于功率跟随控制的能量管理策略。在此基础上,针对固定规则参数的局限性,以车辆行驶总成本与SOC变化梯度为目标函数,结合灰狼优化算法对增程器启停功率阈值参数进行优化,减少发动机频繁启停现象。运用Matlab/Simulink搭建控制策略模型,并联合基于Simcenter/AMESIM搭建的整车物理模型进行仿真试验,结果表明:CHTC-LT循环工况下,优化功率跟随控制策略与功率跟随控制策略相比,SOC最大波动值降低了28%,增程器启停次数减少了28.5%,整车燃油经济性提升了6.89%。

The energy management strategy of range-extended electric vehicle based on power following control has the advantages of slowing down battery life decay and improving NVH performance,but there are some problems such as strong dependence of threshold parameters and frequent start-stop of range extender.Therefore,an E-REV energy management strategy based on optimized power following control was proposed.According to the information characteristics of vehicle speed,SOC state and driving accelerator pedal force,energy management strategy based on power following control was established.For the limitations of fixed parameters,the total driving cost and the variation gradient of SOC was taken as the objective function,the start-stop power threshold parameters of range extender were optimized to reduce the phenomenon of frequent engine start-stop by combining with grey wolf optimization algorithm.Matlab/Simulink was used to build the control strategy model,and the simulation test was conducted jointly with the vehicle physical model built with Simcenter/AMESIM.The results show that,compared with the power following control strategy,the maximum SOC fluctuation value reduces by 28%,the start-stop times of range extender reduces by 28.5%,and the vehicle fuel economy improves by 6.89%after the optimization under CHTC-LT cycle conditions.