Recent progress and future trends on state of charge estimation methods to improve battery-storage efficiency: A review

Battery storage systems are subject to frequent charging/discharging cycles, which reduce the operational life of the battery and reduce system reliability in the long run. As such, several Battery Management Systems (BMS) have been developed to maintain system reliability and extend the battery...

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Bibliographic Details
Published inCSEE Journal of Power and Energy Systems Vol. 8; no. 1; pp. 105 - 114
Main Authors Md Ohirul Qays, Yonis Buswig, Md Liton Hossain, Ahmed Abu-Siada
Format Journal Article
LanguageEnglish
Published Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.01.2022
China electric power research institute
Subjects
Aging
Alternative energy sources
Batteries
Computer engineering
Efficiency
Energy storage
Humidity
Kalman filters
Management systems
Mathematical models
Methods
Power management
Renewable resources
State of charge
Storage systems
System reliability
Trends
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Summary:Battery storage systems are subject to frequent charging/discharging cycles, which reduce the operational life of the battery and reduce system reliability in the long run. As such, several Battery Management Systems (BMS) have been developed to maintain system reliability and extend the battery's operative life. Accurate estimation of the battery's State of Charge (SOC) is a key challenge in the BMS due to its non-linear characteristics. This paper presents a comprehensive review on the most recent classifications and mathematical models for SOC estimation. Future trends for SOC estimation methods are also presented.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2019.03060