Study of HEV Power Management Control Strategy Based on Driving Pattern Recognition | Zendy

Zhen Wei | Zendy; Zhuang Xu | Zendy; Dunant Halim | Zendy

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Study of HEV Power Management Control Strategy Based on Driving Pattern Recognition

Author(s) -

Zhen Wei,

Zhuang Xu,

Dunant Halim

Publication year - 2016

Publication title -

energy procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.474

H-Index - 81

ISSN - 1876-6102

DOI - 10.1016/j.egypro.2016.06.062

Subject(s) - fuzzy logic , control (management) , engineering , automotive engineering , power (physics) , fuzzy control system , control engineering , computer science , artificial intelligence , physics , quantum mechanics

In this work, an optimized HEV power management fuzzy control strategy is proposed with the aim to further improve the fuel efficiency of the rule-based control strategy and overcome the drawbacks of the conventional control strategies. The driving pattern recognition method is used to classify the driving condition into one of the driving patterns to select proper control algorithm. The dynamic programming solution is used to design the fuzzy control strategies for each driving pattern. The simulation results indicate that by adopting the proposed strategy the fuel efficiency of HEV is improved, especially under complex driving conditions

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