TY - GEN
T1 - Review of Battery State-of-Charge Estimation Algorithms
AU - Kaushik, Kaustubh
AU - Sureka, Devang
AU - Rao, H. V.Gururaja
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85115170710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115170710&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-1642-6_29
DO - 10.1007/978-981-16-1642-6_29
M3 - Conference contribution
AN - SCOPUS:85115170710
SN - 9789811616419
T3 - Lecture Notes in Electrical Engineering
SP - 375
EP - 387
BT - Advances in Renewable Energy and Electric Vehicles - Select Proceedings of AREEV 2020
A2 - Padmanaban, Sanjeevikumar
A2 - Prabhu, Nagesh
A2 - K., Suryanarayana
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Advances in Renewable Energy and Electric Vehicles, AREEV 2020
Y2 - 22 December 2020 through 23 December 2020
ER -