Roy, Probir Kumar, Shahjalal, Mohammad, Shams, Tamanna, Fly, Ashley, Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Ahsan, Mominul and Haider, Julfikar (2023) A critical review on battery aging and state estimation technologies of lithium-ion batteries: prospects and issues. Electronics, 12 (19):4105. pp. 1-30. ISSN 2079-9292 (Online) (doi:10.3390/electronics12194105)

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Abstract

Electric vehicles (EVs) have had a meteoric rise in acceptance in recent decades due to mounting worries about greenhouse gas emissions, global warming, and the depletion of fossil resource sup-plies because of their superior efficiency and performance. EVs have now gained widespread ac-ceptance in the automobile industry as the most viable alternative for decreasing CO2 production. The battery is an integral ingredient of electric vehicles, and the battery management system (BMS) acts as a bridge between them. The goal of this work is to give a brief review of certain key BMS technologies, including state estimation, aging characterization methodologies, and the aging pro-cess. The consequences of battery aging limit its capacity and arise whether the battery is used or not, which is a significant downside in real-world operation. That is why this paper presents a wide range of recent research on Li-ion battery aging processes, including estimations from multiple areas. Afterward, various battery state indicators are thoroughly explained. This work will assist in de-fining new relevant domains and constructing commercial models and play a critical role in future research in this expanding area by providing a clear picture of the present status of estimating techniques of the major state indicators of Li-ion batteries.

Item Type:	Article
Additional Information:	This article belongs to the Section Power Electronics.
Uncontrolled Keywords:	battery management system (BMS); state estimation; aging characterization methodology; battery aging; Li-ion battery; state of function (SOF); state of power (SOP); state of health (SOH); state of charge (SOC)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	05 Oct 2023 16:05
URI:	http://gala.gre.ac.uk/id/eprint/44388

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