Research on Multi-Objective Optimized Energy Management Strategy for Fuel Cell Hybrid Vehicle Based on Work Condition Recognition

Yigeng Huangfu, Zelong Zhang, Liangcai Xu, Wenzhuo Shi, Shengrong Zhuo

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

2 Scopus citations

Abstract

In order to mitigate the environmental pollution problem, the fuel cell electric vehicle (FCEV), as one kind of renewable energy industry, is researched and developed. The performance of FCEV is deeply relied on the energy management strategy (EMS), an inappropriate EMS may cause the bad performance of FCEV. Strategies designed under specific work condition have poor adaptability to complex work conditions. What's more, these strategies give little concern on the volatility of fuel cell's output power, which will cause a loss of fuel cell's life. Aiming at decreasing the hydrogen consumption of FCEV and the volatility of the output power of fuel cell, an optimized fuzzy logic control energy management strategy based on work condition recognition is proposed. In order to achieve a better performance, this strategy can recognize instant driving condition, and pick the corresponding parameters of fuzzy logic control system from the preset database of the parameters. The database is obtained by offline optimization with genetic algorithm. A simulation result based on the MATLAB/Simulink platform is obtained to demonstrate that this strategy has a better performance than a conventional fuzzy logic controller with fixed parameters under mixed work conditions.

Original languageEnglish
Title of host publicationIECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9781665435543
DOIs
StatePublished - 13 Oct 2021
Externally publishedYes
Event47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, Canada
Duration: 13 Oct 202116 Oct 2021

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2021-October

Conference

Conference47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Country/TerritoryCanada
CityToronto
Period13/10/2116/10/21

Keywords

  • energy management strategy
  • fuzzy logic control
  • genetic algorithm
  • learning vector quantization neural network

Fingerprint

Dive into the research topics of 'Research on Multi-Objective Optimized Energy Management Strategy for Fuel Cell Hybrid Vehicle Based on Work Condition Recognition'. Together they form a unique fingerprint.

Cite this