Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network

Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network

Precise estimation of the remaining available energy in batteries is not only key to improving energy management efficiency, but also serves as a critical safeguard for ensuring the safe operation of battery systems. To address the challenges associated with energy state estimation under dynamic ope...

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Bibliographic Details
Main Authors: Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Batteries
Subjects:
lithium-ion batteries
remaining available energy
interpretable generalized additive neural network
feature extraction
Online Access:https://www.mdpi.com/2313-0105/11/7/276
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