Study of HEV power management control strategy based on driving pattern recognition

Zhen Wei, Z. Xu, Dunant Halim

Research output: Journal PublicationConference articlepeer-review

23 Citations (Scopus)
47 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)847-853
Number of pages7
JournalEnergy Procedia
Publication statusPublished - 1 Jun 2016
EventApplied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China
Duration: 15 Nov 201517 Nov 2015


  • Driving cycle
  • Energy management
  • Fuzzy logic control
  • HEV

ASJC Scopus subject areas

  • General Energy


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