Comparative Study of Optimal Control Strategies for the Range-extended Electric Vehicle
In recent years,the range-extended electric vehicles (REEVs) have been deeply studied for its more reasonable fuel economy and driving mileage than the pure electric vehicles (EVs) and serial hybrid electric vehicles (SHEVs).The control strategies of REEVs are of vital importance in fully exertng its potential.The control strategies of REEVs can be divided into the heuristic knowledge control,global optimal control and instaneous optimal conrol.The global control can provide nearly ideal control performance.In this paper,the gloabl optimal control strategies based on dynamic programming (DP) and Pontryagins minimum principle (PMP) are proposed.The performance of these two control methods are analyzed and compared according to the simulation results obtained by the Matlab/Simulink.
range-extended vehicles dynamic programming Pontryagins minimum principle optimal control
Gengchen Liu Jianwu Zhang
National Engineering Laboratory for Automotive Electronic Control Technology, School of Mechanical Engineering, Shanghai Jiao Tong University
国际会议
重庆
英文
149-155
2016-03-21（万方平台首次上网日期，不代表论文的发表时间）