A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation

A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation

Accurate battery state estimation is important for the operation of energy storage systems, yet existing methods struggle with the complexity and dynamic nature of battery conditions. Conventional techniques often fail to extract relevant spatial and temporal features from basic battery data effecti...

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Bibliographic Details
Main Authors: Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Machines
Subjects:
Digital Twin
battery energy storage system
battery state estimation
deep learning
Online Access:https://www.mdpi.com/2075-1702/13/3/175
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