HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.

Original languageEnglish
Title of host publication2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467376372
DOIs
Publication statusPublished - 10 Dec 2015
Event12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Montreal, Canada
Duration: 19 Oct 201522 Oct 2015

Publication series

Name2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings

Conference

Conference12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015
Country/TerritoryCanada
CityMontreal
Period19/10/1522/10/15

Keywords

  • dynamic programming
  • energy management
  • fuzzy logic control
  • HEV

ASJC Scopus subject areas

  • Automotive Engineering

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