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Automotive Engineering ›› 2021, Vol. 43 ›› Issue (2): 181-188.doi: 10.19562/j.chinasae.qcgc.2021.02.004

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Study on Extraction Algorithm for Time⁃varying Equivalent Factor of ECMS for Parallel Hybrid Electric Vehicle

Yuejuan Li1(),Wei Qi2,Cheng Wang2,Bo Zhang2,Qiang Lu2   

  1. 1.College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,Beijing 100124
    2.China Automotive Technology & Research Center Co. ,Ltd. ,Tianjin 300300
  • Received:2020-06-25 Revised:2020-09-22 Online:2021-02-25 Published:2021-03-04
  • Contact: Yuejuan Li E-mail:yuejuan@bjut.edu.cn

Abstract:

For solving the problem that the current equivalent consumption minimization strategy (ECMS) cannot select the optimal equivalent factor according to the actual driving condition, an energy algorithm model for parallel hybrid electric vehicle, i.e. ECMS with dynamic programming (DP), is constucted by taking the respective advantages of DP and ECMS. With equivalent factor as the control variable of global optimum alroithm, the condition?based optimal time?varying equivalent factor is abtained through the discrete global optimizaion of equivalent factor. A numerical simulation is conducted on all performance parameters of real?time control strategy for time?varying equivalent factor and the DP for globally optimal control strategy in normal condition, verifying the effectiveness of the extraction algorithm for time?varying equivalent factor and the feasibility of the selecting method for the initial value of equivalent factor.

Key words: hybrid electric vehicle, dynamic programing, equivalent consumption minimization strategy, time?varying equivalent factor