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Automotive Engineering ›› 2020, Vol. 42 ›› Issue (3): 292-298.doi: 10.19562/j.chinasae.qcgc.2020.03.003

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Adaptive Energy Management Strategy for Plug-in Hybrid Electric Bus Based on Equivalent Factor Optimization

Yang Ye1,2, Zhang Youtong1, Zhang Biao2, Hu Shaoyi2   

  1. 1.Low Emission Vehicle Research Lab, Beijing Institute of Technology, Beijing 100081;
    2.Qing Gong College, North China University of Science and Technology, Tangshan 063000
  • Received:2019-04-03 Online:2020-03-25 Published:2020-04-16

Abstract: A real-time energy management strategy based on equivalent factor optimization is proposed for a plug-in hybrid electric bus (PHEB). Firstly, a fast calculation method of equivalent factor (EF) is designed, in which the range of EF is determined first according to the power parameters of vehicle, then the EF is quickly calculated by shooting algorithm. Next, an adaptive equivalent fuel consumption minimization strategy (A-ECMS) based on linear decline of battery state of charge (SOC) is proposed, and by utilizing the vehicle position information provided by the vehicle global positioning system (GPS) to update the equivalent factor online, the real-time tracking of reference SOC is achieved. Finally, a comparative simulation on A-ECMS is conducted against rule-based strategy, standard ECMS and dynamic programming strategy, and the results show that the A-ECMS proposed based on equivalent factor optimization has best control effects in both fuel economy and robustness of SOC control

Key words: PHEB, energy management strategy, equivalent factor optimization, ECMS, improved shooting algorithm