Real-time control for a parallel hybrid electric vehicle based on Pontryagin's Minimum Principle

Teng Liu, Yuan Zou*, De Xing Liu, Feng Chun Sun

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

A heavy-duty parallel hybrid electric vehicle (HEV) is modeled first, together with dynamic equations of subsystem components. The HEV energy management problem was cast into an optimal control problem since its objective is to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bouds. The Pontryagin's Minimum Principle (PMP)-based optimal algorithm is applied to solve the optimal control problem. A causal optimal strategy with a simple proportional-integral (PI)-control based on PMP is put forward, which can realize real-time control for HEV. The solutions of the causal optimal strategy are found to be very close to the global optimal solutions when tuning with the appropriate co-states.

Original languageEnglish
Title of host publicationIEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479942398
DOIs
Publication statusPublished - 30 Oct 2014
Event2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, China
Duration: 31 Aug 20143 Sept 2014

Publication series

NameIEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings

Conference

Conference2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014
Country/TerritoryChina
CityBeijing
Period31/08/143/09/14

Keywords

  • control optimization
  • hybrid electric vehicle
  • pontryagin's minimum principle
  • real-time control

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