Review of Battery State-of-Charge Estimation Algorithms

Kaustubh Kaushik, Devang Sureka, H. V.Gururaja Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution


State of charge (SOC) is an important parameter used by a battery management system (BMS). Accurate and robust algorithms ensure the safe and reliable functioning of cells or batteries. Thus far, the algorithms developed depend mainly on the current and voltage data received from individual cells or the entire battery. To ensure battery safety usage and reduce the average lifecycle cost, accurate state of charge (SOC), tracking algorithms for real-time implementation are essential in different applications. This paper aims to compare SOC estimation algorithms and modular algorithms that employ more than one traditional SOC estimation method. This paper aims to describe the basic theoretical concepts involved in the standard algorithms. It also discusses more accurate algorithms suited for online implementation, which is favorable for real applications.

Original languageEnglish
Title of host publicationAdvances in Renewable Energy and Electric Vehicles - Select Proceedings of AREEV 2020
EditorsSanjeevikumar Padmanaban, Nagesh Prabhu, Suryanarayana K.
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Print)9789811616419
Publication statusPublished - 2022
EventInternational Conference on Advances in Renewable Energy and Electric Vehicles, AREEV 2020 - Nitte, India
Duration: 22-12-202023-12-2020

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceInternational Conference on Advances in Renewable Energy and Electric Vehicles, AREEV 2020

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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