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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10838241/ |
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