Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions
Battery management system plays a crucial role in enhancing the performance and effectiveness of electric vehicles. The accurate state estimation in terms of state of charge, state of health, state of energy, state of power, and remaining useful life of battery management system is essential to mana...
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| Format: | Review |
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Elsevier Ltd
2025
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| author | Hossain Lipu M.S. Abd Rahman M.S. Mansor M. Ansari S. Meraj S.T. Hannan M.A. |
| author2 | 58562396100 |
| author_facet | 58562396100 Hossain Lipu M.S. Abd Rahman M.S. Mansor M. Ansari S. Meraj S.T. Hannan M.A. |
| author_sort | Hossain Lipu M.S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Battery management system plays a crucial role in enhancing the performance and effectiveness of electric vehicles. The accurate state estimation in terms of state of charge, state of health, state of energy, state of power, and remaining useful life of battery management system is essential to manage and optimize the performance of electric vehicles. Recently, hybrid and combined states estimations of lithium-ion battery management system have received huge attention due to their excellent accuracy and resilience in a variety of environmental settings. Nevertheless, the deployment of hybrid and co-estimation of various states for lithium-ion battery management system in EVs are still limited. Hence, the novel innovation of this review is to provide an in-depth analysis of hybrid approaches with an emphasis on state-of-the-art approaches, executions, accuracy, advantages, drawbacks, and contributions. Moreover, this review explores the several co-estimation methods concerning framework, execution aspects, issues, and performance assessment. Furthermore, the study investigates various key challenges and limitations of hybrid and combined states estimation of battery management system. Finally, prospects and research opportunities are offered to support electric vehicle engineers and the automotive industry in developing a reliable and accurate state of charge, state of health, state of energy and state of power, the remaining useful life estimation technique using a hybrid and co-estimation approach that will create a pathway to reduce global carbon emissions towards meeting sustainable development goals. ? 2024 |
| format | Review |
| id | my.uniten.dspace-36573 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-365732025-03-03T15:43:09Z Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions Hossain Lipu M.S. Abd Rahman M.S. Mansor M. Ansari S. Meraj S.T. Hannan M.A. 58562396100 57949645100 6701749037 57218906707 57202610180 7103014445 Automotive industry Charging (batteries) Electric vehicles Information management Ions Lithium-ion batteries Sustainable development Vehicle performance Co-estimation Combined states estimation Data driven Energy Estimation approaches Hybrid approach Hybrid states estimation Model-based OPC Performance States of charges Battery management systems Battery management system plays a crucial role in enhancing the performance and effectiveness of electric vehicles. The accurate state estimation in terms of state of charge, state of health, state of energy, state of power, and remaining useful life of battery management system is essential to manage and optimize the performance of electric vehicles. Recently, hybrid and combined states estimations of lithium-ion battery management system have received huge attention due to their excellent accuracy and resilience in a variety of environmental settings. Nevertheless, the deployment of hybrid and co-estimation of various states for lithium-ion battery management system in EVs are still limited. Hence, the novel innovation of this review is to provide an in-depth analysis of hybrid approaches with an emphasis on state-of-the-art approaches, executions, accuracy, advantages, drawbacks, and contributions. Moreover, this review explores the several co-estimation methods concerning framework, execution aspects, issues, and performance assessment. Furthermore, the study investigates various key challenges and limitations of hybrid and combined states estimation of battery management system. Finally, prospects and research opportunities are offered to support electric vehicle engineers and the automotive industry in developing a reliable and accurate state of charge, state of health, state of energy and state of power, the remaining useful life estimation technique using a hybrid and co-estimation approach that will create a pathway to reduce global carbon emissions towards meeting sustainable development goals. ? 2024 Final 2025-03-03T07:43:09Z 2025-03-03T07:43:09Z 2024 Review 10.1016/j.est.2024.112107 2-s2.0-85193623838 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193623838&doi=10.1016%2fj.est.2024.112107&partnerID=40&md5=4ab5bef4880563da805eb870f53a8964 https://irepository.uniten.edu.my/handle/123456789/36573 92 112107 Elsevier Ltd Scopus |
| spellingShingle | Automotive industry Charging (batteries) Electric vehicles Information management Ions Lithium-ion batteries Sustainable development Vehicle performance Co-estimation Combined states estimation Data driven Energy Estimation approaches Hybrid approach Hybrid states estimation Model-based OPC Performance States of charges Battery management systems Hossain Lipu M.S. Abd Rahman M.S. Mansor M. Ansari S. Meraj S.T. Hannan M.A. Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title | Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title_full | Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title_fullStr | Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title_full_unstemmed | Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title_short | Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions |
| title_sort | hybrid and combined states estimation approaches for lithium-ion battery management system: advancement, challenges and future directions |
| topic | Automotive industry Charging (batteries) Electric vehicles Information management Ions Lithium-ion batteries Sustainable development Vehicle performance Co-estimation Combined states estimation Data driven Energy Estimation approaches Hybrid approach Hybrid states estimation Model-based OPC Performance States of charges Battery management systems |
| url_provider | http://dspace.uniten.edu.my/ |