Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook
Advanced vehicle control systems; Automotive batteries; Charging (batteries); Controllers; Electric automobiles; Fire hazards; Global warming; Intelligent control; Battery performance; Battery storage system; Computation complexity; Control strategies; Intelligent Algorithms; Internal and external f...
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2023
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my.uniten.dspace-262562023-05-29T17:08:20Z Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook Hossain Lipu M.S. Hannan M.A. Karim T.F. Hussain A. Saad M.H.M. Ayob A. Miah M.S. Indra Mahlia T.M. 36518949700 7103014445 36518950900 57208481391 7202075525 26666566900 57226266149 56997615100 Advanced vehicle control systems; Automotive batteries; Charging (batteries); Controllers; Electric automobiles; Fire hazards; Global warming; Intelligent control; Battery performance; Battery storage system; Computation complexity; Control strategies; Intelligent Algorithms; Internal and external factors; Precise monitoring; Vehicle applications; Battery management systems Globally, the research on battery technology in electric vehicle applications is advancing tremendously to address the carbon emissions and global warming issues. The effectiveness of electric vehicles depends on the accurate assessment of key parameters as well as proper functionality and diagnosis of the battery storage system. However, poor monitoring and safety strategies of the battery storage system can lead to critical issues such as battery overcharging, over-discharging, overheating, cell unbalancing, thermal runaway, and fire hazards. To address these concerns, an effective battery management system plays a crucial role in enhancing battery performance including precise monitoring, charging-discharging control, heat management, battery safety, and protection. The goal of this paper is to deliver a comprehensive review of different intelligent approaches and control schemes of the battery management system in electric vehicle applications. In line with that, the review evaluates the intelligent algorithms in battery state estimation concerning their features, structure, configuration, accuracy, advantages, and disadvantages. Moreover, the review explores the various controllers in battery heating, cooling, equalization, and protection highlighting categories, characteristics, targets, achievements, benefits, and shortcomings. The key issues and challenges in terms of computation complexity, execution problems along with various internal and external factors are identified. Finally, future opportunities and directions are delivered to design an efficient intelligent algorithm and controller toward the development of an advanced battery management system for future sustainable electric vehicle applications. � 2021 Elsevier Ltd Final 2023-05-29T09:08:20Z 2023-05-29T09:08:20Z 2021 Review 10.1016/j.jclepro.2021.126044 2-s2.0-85100001625 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100001625&doi=10.1016%2fj.jclepro.2021.126044&partnerID=40&md5=e108c085aae734af56447e781cccc4fb https://irepository.uniten.edu.my/handle/123456789/26256 292 126044 Elsevier Ltd Scopus |
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Advanced vehicle control systems; Automotive batteries; Charging (batteries); Controllers; Electric automobiles; Fire hazards; Global warming; Intelligent control; Battery performance; Battery storage system; Computation complexity; Control strategies; Intelligent Algorithms; Internal and external factors; Precise monitoring; Vehicle applications; Battery management systems |
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36518949700 |
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36518949700 Hossain Lipu M.S. Hannan M.A. Karim T.F. Hussain A. Saad M.H.M. Ayob A. Miah M.S. Indra Mahlia T.M. |
| format |
Review |
| author |
Hossain Lipu M.S. Hannan M.A. Karim T.F. Hussain A. Saad M.H.M. Ayob A. Miah M.S. Indra Mahlia T.M. |
| spellingShingle |
Hossain Lipu M.S. Hannan M.A. Karim T.F. Hussain A. Saad M.H.M. Ayob A. Miah M.S. Indra Mahlia T.M. Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| author_sort |
Hossain Lipu M.S. |
| title |
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| title_short |
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| title_full |
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| title_fullStr |
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| title_full_unstemmed |
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook |
| title_sort |
intelligent algorithms and control strategies for battery management system in electric vehicles: progress, challenges and future outlook |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806424500351270912 |
| score |
13.222552 |