A comprehensive review of battery state of charge estimation techniques

Masood Ul Hassan; Sajeeb Saha; Md. Enamul Haque; Shama Islam; Apel Mahmud; Nishad Mendis

doi:10.1016/j.seta.2022.102801

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A comprehensive review of battery state of charge estimation techniques

Journal article

Peer reviewed

A comprehensive review of battery state of charge estimation techniques

Masood Ul Hassan, Sajeeb Saha, Md. Enamul Haque, Shama Islam, Apel Mahmud and Nishad Mendis

Sustainable Energy Technologies and Assessments, Vol.54, pp.1-31

2022

DOI: https://doi.org/10.1016/j.seta.2022.102801

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Abstract

Artificial Neural Networks

Battery capacity estimation

Coulomb counting

Direct and indirect SoC estimation

Equivalent circuit models

Kalman filter

Observer models

State of charge (SoC)

Battery energy storage systems are becoming an integral part of the modern power grid, mainly to maximise the utilisation of renewable energy sources and negate the intermittence associated with different weather condition, as well as to support grid during extreme operating conditions. Precise and real time knowledge of battery available capacity at a given instance is of paramount importance for optimal and efficient energy management of the power grid with high penetration of renewable energy sources, as well to ensure the highest utilisation of a battery life. State of Charge (SoC) is the most commonly used measure of the battery available capacity that quantifies the percentage of battery nominal capacity that is available at a given instance. An efficient SoC estimation approach for batteries in power grid is expected to possess attributes such as high accuracy, low complexity, near real time estimation capability, chemistry agnostic nature, etc. In the literature, an overwhelming amount of battery SoC approaches with different levels of implementation complexity and accuracy have been reported. With a view to presenting critical analysis of the existing battery SoC estimation approaches from the perspective of battery energy storage systems used in power grids, this paper presents a comprehensive review of the commonly used battery SoC estimation approaches. The presented review includes a detailed description of each of the approaches and highlights their pros and cons in power grid applications.

Details

Title: A comprehensive review of battery state of charge estimation techniques
Authors: Masood Ul Hassan (Author) - UNSW Sydney
Sajeeb Saha (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Md. Enamul Haque (Author) - Deakin University
Shama Islam (Author) - Deakin University
Apel Mahmud (Author) - Deakin University
Nishad Mendis (Author) - DNVGL Energy
Publication details: Sustainable Energy Technologies and Assessments, Vol.54, pp.1-31
Publisher: Elsevier BV
DOI: 10.1016/j.seta.2022.102801
ISSN: 2213-1396
Organisation Unit: School of Science, Technology and Engineering; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99681395102621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Energy & Fuels; Green & Sustainable Science & Technology

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