Digital Twin-Supported Battery State Estimation Based on TCN-LSTM Neural Networks and Transfer Learning

Digital Twin-Supported Battery State Estimation Based on TCN-LSTM Neural Networks and Transfer Learning

Estimating battery states such as State of Charge (SOC) and State of Health (SOH) is an essential component in developing energy storage technologies, which require accurate estimation of complex and nonlinear systems. A significant challenge is extracting pertinent spatial and temporal features fro...

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Bibliographic Details
Main Authors: Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu
Format: Article
Language:English
Published: China electric power research institute 2025-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Battery energy storage system
battery state estimation
deep learning
digital twin
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10838241/
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