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Automotive Engineering ›› 2021, Vol. 43 ›› Issue (5): 675-682.doi: 10.19562/j.chinasae.qcgc.2021.05.005

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Optimization of Control Strategy for Hybrid Power System Based on Traffic Information

Jie Hu1,2,3(),Ming Wang1,2,3,Di Liu1,2,3,Fuwu Yan1,2,3,Kai Cao4   

  1. 1.Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts Technology,Wuhan 430070
    2.Wuhan University of Technology,Auto Parts Technology Hubei Collaborative Innovation Center,Wuhan 430070
    3.Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering,Wuhan 430070
    4.Dongfeng Motor Corporation Technology Center,Wuhan 430058
  • Received:2020-08-17 Revised:2020-12-08 Online:2021-05-25 Published:2021-05-18
  • Contact: Jie Hu E-mail:auto_hj@163.com

Abstract:

With consideration of the influence of future driving speed and road slope on vehicle power demand, an optimization on the existing energy management strategy of hybrid power source is conducted in this paper based on traffic information fusion. Firstly, the hybrid power simulation model is constructed with MATLAB/Simulink, and based on the traffic congestion situation and driving speed type, a judgment method for the short?term speed changing trend in future is proposed. Then, according to the road slope and speed changing trend, a fuzzy controller, which can automatically correct the output power of ultra?capacitor based on traffic information, is designed. Finally, on the premise of acquiring traffic information and by using the fuzzy controller, an optimization on the energy management strategy based on adaptive wavelet transform?fuzzy control is performed. The results show that the control strategy optimized based on traffic information can further give play to the superiorities of hybrid power source, with its energy consumption reducing by about 2.3% and the battery cycle life extending by about 2.96%.

Key words: hybrid power source, energy management strategy, traffic information, speed changing trend