A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application

Alsuwian, Turki; Ansari, Shaheer; Zainuri, Muhammad Ammirrul Atiqi Mohd; Ayob, Afida; Hussain, Aini; Lipu, Molla Shahadat Hossain; Alhawari, Adam R. H.; Almawgani, Abdulkarem H. M.; Almasabi, Saleh; Hindi, Ayman Taher

doi:10.1016/j.eswa.2023.123123

reviewExpert Systems with ApplicationsJan 4, 2024HYBRID OA

A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application

TATurki Alsuwian SAShaheer Ansari MAMuhammad Ammirrul Atiqi Mohd Zainuri AAAfida Ayob AHAini Hussain

Najran University · National University of Malaysia · +1 more institution

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Abstract

To improve the functionality and efficiency of electric vehicles (EVs), the smart battery management system (BMS) is essential. The accurate estimation of the state of health (SOH) and remaining useful life (RUL) in BMS enhance battery safety, longevity, and reliability, which enhances EV performance and efficiency. However, the accurate estimation of SOH and RUL is challenging because of capacity degradation during charging and discharging operations. The conventional research to estimate the SOH and RUL of lithium-ion battery (LIB) is based on the single model framework. However, the single model for SOH and RUL estimation may not deliver accurate outcomes due to the complex internal LIB mechanism and…

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Topics & keywords

Topics

Keywords

Computer science
State of health
Reliability engineering
Robustness (evolution)
Battery (electricity)
Estimation
Reliability (semiconductor)
Engineering

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