Limited-Data Augmentation for Fault Diagnosis in Lithium-Ion Battery Energy Storage Systems via Transferable Conditional Diffusion

Limited-Data Augmentation for Fault Diagnosis in Lithium-Ion Battery Energy Storage Systems via Transferable Conditional Diffusion

Fault diagnosis accuracy in lithium-ion battery-based energy storage systems is significantly constrained by the limited availability of fault-specific datasets. This study addresses this critical issue by proposing a diffusion-based data augmentation methodology tailored explicitly for battery faul...

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Bibliographic Details
Main Authors: Zhipeng Yang, Yuhao Pan, Wenchao Liu, Jinhao Meng, Zhengxiang Song
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Batteries
Subjects:
diffusion model
transfer learning
normalization
lithium-ion battery
energy storage system
Online Access:https://www.mdpi.com/2313-0105/11/7/248
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