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Offline optimization of parallel hybrid electric vehicle energy management strategy based on the dynamic programming

  • Shi Chun Yang
  • , Yue Gu
  • , Ming Li*
  • *Corresponding author for this work
  • Beihang University

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

Abstract

By using dynamic programming (DP) which is a kind of global optimization algorithm, an energy management control strategy for a parallel hybrid electric vehicle (PHEV) on different charging depleting range (CDR) had been studied. The results show that motor-dominant control strategy should be applied to the PHEV when CDR is less than 55km, and engine-dominant control strategy should be used when CDR is more than 55km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55km.

Original languageEnglish
Title of host publicationFrontiers of Energy, Materials and Information Engineering
EditorsWen-Pei Sung, Ran Chen, Jimmy C.M. Kao
PublisherTrans Tech Publications Ltd
Pages941-946
Number of pages6
ISBN (Electronic)9783038352778
DOIs
StatePublished - 2014
EventInternational Conference on Frontiers of Energy, Materials and Information Engineering, ICFMEI 2014 - HongKong, China
Duration: 21 Aug 201422 Aug 2014

Publication series

NameAdvanced Materials Research
Volume1044-1045
ISSN (Print)1022-6680
ISSN (Electronic)1662-8985

Conference

ConferenceInternational Conference on Frontiers of Energy, Materials and Information Engineering, ICFMEI 2014
Country/TerritoryChina
CityHongKong
Period21/08/1422/08/14

Keywords

  • Dynamic programming
  • Energy management strategy
  • Optimization design
  • Plug-in hybrid electric vehicle

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