Affiliation:
1. China Huaneng Group, Clean Energy Research Institute (CERI), Beijing 102209, China
Abstract
The accurate estimation of the state of charge, the state of health and the prediction of remaining useful life of lithium–ion batteries is an important component of battery management. It is of great significance to prolong battery life and ensure the reliability of the battery system. Many researchers have completed a large amount of work on battery state evaluation and RUL prediction methods and proposed a variety of methods. This paper first introduces the definition of the SOC, the SOH and the existing estimation methods. Then, the definition of RUL is introduced, and the main methods are classified and compared. Finally, the challenges of lithium–ion battery state estimation and RUL prediction are summarized, and the direction for future development is proposed.
Funder
Huaneng Group Headquarters Science and Technology Project of the Key Technology Research and System Development of Group Level Intelligence Operations Platform Construction
Fault Diagnosis Technology Research and System Development of Lithium–ion Battery Energy Storage Station Based on Mass Data
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference105 articles.
1. A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles;Sarmah;J. Electrochem. Energy Convers. Storage,2019
2. A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management;Hasib;IEEE Access,2021
3. A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction;Elmahallawy;IEEE Access,2022
4. Su, N.K.H., Juwono, F.H., Wong, W.K., and Chew, I.M. (2022, January 26–28). Review on Machine Learning Methods for Remaining Useful Lifetime Prediction of Lithium-ion Batteries. Proceedings of the 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia.
5. State of Charge Estimation Methods and Application Scenarios of Lithium-Ion Batteries;Wang;Power Syst. Autom.,2022
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