Shift Schedule Optimization of 2-Speed Electric Vehicle Using Model Predictive Control

摘要：

　　This paper presents a model predictive control (MPC) gear shifting strategy for a novel electric vehicle equipped with 2-speed Automated Manual Transmission (AMT),aiming at improving the fuel economy and reduce frequent gear shifting.In order to reflect the effect of this control method,one other control strategy is designed based on dynamic programming (DP).Results indicate that while both the methods can satisfy the vehicle velocity tracking requirement,the MPC-based method can improve the fuel economy of the pure electric vehicle.Moreover,the gear shifting strategy based on MPC could also avoid frequent shifting.

关键词： 2-Speed Electric Vehicle Shift Schedule Optimization Model Predictive Control

作者: Lulu Guo Guangyu Li Bingzhao Gao Hong Chen

作者单位: State Key Laboratory of Automotive Simulation and Control,Jilin University(Campus NanLing),Changchun State Key Laboratory of Automotive Simulation and Control,Jilin University(Campus NanLing),Changchun

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 156-161

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）