Cover Image

Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations

Computer circuits; Dynamic programming; Energy efficiency; Energy management; Fossil fuel deposits; Fossil fuels; Fuel cells; Fuel storage; Fuzzy logic; Genetic algorithms; Global warming; Greenhouse gases; Hybrid vehicles; Internal combustion engines; Linear programming; Logic Synthesis; Optimizati...

Full description

Saved in:
Bibliographic Details
Main Authors: Sulaiman N., Hannan M.A., Mohamed A., Ker P.J., Majlan E.H., Wan Daud W.R.
Other Authors: 57188755994
Format: Review
Published: Elsevier Ltd 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-23654
record_format dspace
spelling my.uniten.dspace-236542023-05-29T14:50:47Z Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations Sulaiman N. Hannan M.A. Mohamed A. Ker P.J. Majlan E.H. Wan Daud W.R. 57188755994 7103014445 57195440511 37461740800 26030028700 35547717400 Computer circuits; Dynamic programming; Energy efficiency; Energy management; Fossil fuel deposits; Fossil fuels; Fuel cells; Fuel storage; Fuzzy logic; Genetic algorithms; Global warming; Greenhouse gases; Hybrid vehicles; Internal combustion engines; Linear programming; Logic Synthesis; Optimization; Particle swarm optimization (PSO); Supercapacitor; Battery; Energy management systems (EMS); Fuel cell hybrid electric vehicles; Hybrid-electric vehicle technologies; Internal combustion engine vehicles; Optimization algorithms; Optimization techniques; Pontryagin's minimum principles; Energy management systems; combustion; electric vehicle; energy storage; equipment component; fossil fuel; fuel cell; fuel consumption; global warming; greenhouse gas; hydrogen; optimization; performance assessment Hybrid electric vehicle technologies emerge mainly because of the instability in fossil fuel prices, resources and the terrible impact of global warming. As most transport systems use fossil fuel and emit greenhouse gases, many researchers have studied the potential of fuel-cell hybrid electric vehicles (FCHEVs). FCHEVs are vehicles with zero greenhouse gas emission because they only depend on hydrogen. Numerous studies have proven that fuel cells with energy storage elements can provide sufficient energy required by FCHEVs. However, end users demand FCHEVs that are not only efficient in delivering the energy required but can also optimize hydrogen consumption and prolong battery lifetime to compete with current internal combustion engine vehicles. Therefore, advanced optimization algorithms for an FCHEV energy management system (EMS) must be developed to improve the performance efficiency of FCHEVs. This paper presents a critical review of the different types of FCHEV EMSs and their optimization algorithms to solve existing limitations and enhance the performance of future FCHEVs. Consequently, a comprehensive review on the major categories of FCHEV EMSs, such as proportional�integral�derivative controller, operational or state mode, rule-based or fuzzy logic, and equivalent consumption minimization strategies, are explained. This paper also describes optimization techniques such as linear programming, dynamic programming, Pontryagin's minimum principle, genetic algorithm, particle swarm optimization and rule-based logic optimization for the EMSs of FCHEVs. Furthermore, it focuses on the various factors and challenges of existing optimization algorithms, hydrogen fuel source, environment and safety, and economical and societal concerns, as well as provides recommendations for designing capable and efficient EMSs for FCHEVs. All the highlighted insights of this review will hopefully lead to increasing efforts toward the development of an advanced optimization algorithm for future FCHEV EMSs. � 2018 Final 2023-05-29T06:50:47Z 2023-05-29T06:50:47Z 2018 Review 10.1016/j.apenergy.2018.07.087 2-s2.0-85050200137 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050200137&doi=10.1016%2fj.apenergy.2018.07.087&partnerID=40&md5=7daeac506352ad99a90bcccc561ebd85 https://irepository.uniten.edu.my/handle/123456789/23654 228 2061 2079 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer circuits; Dynamic programming; Energy efficiency; Energy management; Fossil fuel deposits; Fossil fuels; Fuel cells; Fuel storage; Fuzzy logic; Genetic algorithms; Global warming; Greenhouse gases; Hybrid vehicles; Internal combustion engines; Linear programming; Logic Synthesis; Optimization; Particle swarm optimization (PSO); Supercapacitor; Battery; Energy management systems (EMS); Fuel cell hybrid electric vehicles; Hybrid-electric vehicle technologies; Internal combustion engine vehicles; Optimization algorithms; Optimization techniques; Pontryagin's minimum principles; Energy management systems; combustion; electric vehicle; energy storage; equipment component; fossil fuel; fuel cell; fuel consumption; global warming; greenhouse gas; hydrogen; optimization; performance assessment
author2 57188755994
author_facet 57188755994
Sulaiman N.
Hannan M.A.
Mohamed A.
Ker P.J.
Majlan E.H.
Wan Daud W.R.
format Review
author Sulaiman N.
Hannan M.A.
Mohamed A.
Ker P.J.
Majlan E.H.
Wan Daud W.R.
spellingShingle Sulaiman N.
Hannan M.A.
Mohamed A.
Ker P.J.
Majlan E.H.
Wan Daud W.R.
Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
author_sort Sulaiman N.
title Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
title_short Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
title_full Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
title_fullStr Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
title_full_unstemmed Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
title_sort optimization of energy management system for fuel-cell hybrid electric vehicles: issues and recommendations
publisher Elsevier Ltd
publishDate 2023
_version_ 1806426247271546880
score 13.222552

Similar Items