Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network

Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network

With the rapid development of machine learning and cloud computing, deep learning methods based on big data have been widely applied in the assessment of lithium-ion battery health status. However, enhancing the accuracy and robustness of assessment models remains a challenge. This study introduces...

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Bibliographic Details
Main Authors: Yuqian Fan, Yi Li, Jifei Zhao, Linbing Wang, Chong Yan, Xiaoying Wu, Pingchuan Zhang, Jianping Wang, Guohong Gao, Liangliang Wei
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Batteries
Subjects:
lithium-ion battery
state of health
attention-based encoder–decoder framework
long short-term memory
Online Access:https://www.mdpi.com/2313-0105/9/11/539

Internet

https://www.mdpi.com/2313-0105/9/11/539

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