Estimation Approaches for States of Charge and Health of Lithium-ion Battery

doi:10.12096/j.2096-4528.pgt.21074

Abstract

Abstract:

Battery energy storage system is one of the most important and effective means to achieve carbon neutrality, its large-scale applications put forward higher requirements for the battery operating safety. Accurate and real-time battery state estimation is an important function of battery management systems, and it provides critical information for ensuring safe and reliable operation of batteries. However, it is not an easy task to accurately estimate the battery internal state due to the complex operating conditions and the complicated electrochemical reactions inside the battery. This paper provided a systematic review of the state-of-the-art techniques on the state of charge (SOC) and state of health (SOH) estimation of batteries. The advantages and main challenges existing in practical applications of different techniques were analyzed and compared. Then, the future development needs for battery SOC and SOH estimation techniques were prospected, which provides references for further research in battery state estimation

Key words: lithium-ion battery, energy storage, state estimation, battery management system (BMS)

CLC Number:

TK02

Yihuan LI, Kang LI, James YU. Estimation Approaches for States of Charge and Health of Lithium-ion Battery[J]. Power Generation Technology, 2021, 42(5): 537-546.

Figures/Tables 4

References 71

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