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A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Automotive industry; Carbon dioxide; Charging (batteries); Degradation; Electric batteries; Electric discharges; Electric vehicles; Energy management systems; Estimation; Fossil fuels; Gas emissions; Global warming; Greenhouse gases; Ions; Lithium; Lithium alloys; Lithium compounds; Lithium-ion batt...

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Main Authors: Hannan M.A., Lipu M.S.H., Hussain A., Mohamed A.
Other Authors: 7103014445
Format: Review
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-234472023-05-29T14:40:34Z A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations Hannan M.A. Lipu M.S.H. Hussain A. Mohamed A. 7103014445 36518949700 57208481391 57195440511 Automotive industry; Carbon dioxide; Charging (batteries); Degradation; Electric batteries; Electric discharges; Electric vehicles; Energy management systems; Estimation; Fossil fuels; Gas emissions; Global warming; Greenhouse gases; Ions; Lithium; Lithium alloys; Lithium compounds; Lithium-ion batteries; Secondary batteries; Vehicles; Electric Vehicles (EVs); Electrochemical reactions; Estimation methodologies; High energy densities; Performance degradation; SOC estimations; State of charge; Vehicle applications; Battery management systems Due to increasing concerns about global warming, greenhouse gas emissions, and the depletion of fossil fuels, the electric vehicles (EVs) receive massive popularity due to their performances and efficiencies in recent decades. EVs have already been widely accepted in the automotive industries considering the most promising replacements in reducing CO2 emissions and global environmental issues. Lithium-ion batteries have attained huge attention in EVs application due to their lucrative features such as lightweight, fast charging, high energy density, low self-discharge and long lifespan. This paper comprehensively reviews the lithium-ion battery state of charge (SOC) estimation and its management system towards the sustainable future EV applications. The significance of battery management system (BMS) employing lithium-ion batteries is presented, which can guarantee a reliable and safe operation and assess the battery SOC. The review identifies that the SOC is a crucial parameter as it signifies the remaining available energy in a battery that provides an idea about charging/discharging strategies and protect the battery from overcharging/over discharging. It is also observed that the SOC of the existing lithium-ion batteries have a good contribution to run the EVs safely and efficiently with their charging/discharging capabilities. However, they still have some challenges due to their complex electro-chemical reactions, performance degradation and lack of accuracy towards the enhancement of battery performance and life. The classification of the estimation methodologies to estimate SOC focusing with the estimation model/algorithm, benefits, drawbacks and estimation error are extensively reviewed. The review highlights many factors and challenges with possible recommendations for the development of BMS and estimation of SOC in next-generation EV applications. All the highlighted insights of this review will widen the increasing efforts towards the development of the advanced SOC estimation method and energy management system of lithium-ion battery for the future high-tech EV applications. � 2017 Elsevier Ltd Final 2023-05-29T06:40:33Z 2023-05-29T06:40:33Z 2017 Review 10.1016/j.rser.2017.05.001 2-s2.0-85019063470 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019063470&doi=10.1016%2fj.rser.2017.05.001&partnerID=40&md5=7c6224228d436672eb55b7510c39874c https://irepository.uniten.edu.my/handle/123456789/23447 78 834 854 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 Automotive industry; Carbon dioxide; Charging (batteries); Degradation; Electric batteries; Electric discharges; Electric vehicles; Energy management systems; Estimation; Fossil fuels; Gas emissions; Global warming; Greenhouse gases; Ions; Lithium; Lithium alloys; Lithium compounds; Lithium-ion batteries; Secondary batteries; Vehicles; Electric Vehicles (EVs); Electrochemical reactions; Estimation methodologies; High energy densities; Performance degradation; SOC estimations; State of charge; Vehicle applications; Battery management systems
author2 7103014445
author_facet 7103014445
Hannan M.A.
Lipu M.S.H.
Hussain A.
Mohamed A.
format Review
author Hannan M.A.
Lipu M.S.H.
Hussain A.
Mohamed A.
spellingShingle Hannan M.A.
Lipu M.S.H.
Hussain A.
Mohamed A.
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
author_sort Hannan M.A.
title A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
title_short A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
title_full A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
title_fullStr A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
title_full_unstemmed A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
title_sort review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: challenges and recommendations
publisher Elsevier Ltd
publishDate 2023
_version_ 1806428430563016704
score 13.222552

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