A Review of Critical State Joint Estimation Methods of Lithium-Ion Batteries in Electric Vehicles

Battery state of charge (SOC), state of health (SOH), and state of power (SOP) are decisive factors that influence the energy-management system (EMS) performance of electric vehicles. However, the accurate estimation of SOC, SOH, and SOP remains a challenge due to the high nonlinearity of the batter...

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Bibliographic Details
Published in:World electric vehicle journal 2022-08, Vol.13 (9), p.159
Main Authors: Hou, Junjian, Li, Tong, Zhou, Fang, Zhao, Dengfeng, Zhong, Yudong, Yao, Lei, Zeng, Li
Format: Article
Language:English
Subjects:
Accuracy
core state
Disadvantages
Dynamic characteristics
electric vehicle
Electric vehicles
Energy management
fusion technology
joint estimation
Kalman filters
Lithium
Lithium-ion batteries
Lithium-ion battery
Methods
Neural networks
Parameter estimation
Parameter identification
Real time
Rechargeable batteries
State estimation
State of charge
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Summary:Battery state of charge (SOC), state of health (SOH), and state of power (SOP) are decisive factors that influence the energy-management system (EMS) performance of electric vehicles. However, the accurate estimation of SOC, SOH, and SOP remains a challenge due to the high nonlinearity of the battery dynamic characteristics and the strong coupling among the states. In this paper, different methods of single-state and two-state joint estimation are classified and discussed, including SOC/SOH and SOC/SOP joint estimation methods, and their advantages and limitations are analyzed. On this basis, key issues of joint multi-state estimation are discussed, and suggestions for future work are made.
ISSN:2032-6653
2032-6653
DOI:10.3390/wevj13090159