A Multi-Encoder BHTP Autoencoder for Robust Lithium Battery SOH Prediction Under Small-Sample Scenarios

A Multi-Encoder BHTP Autoencoder for Robust Lithium Battery SOH Prediction Under Small-Sample Scenarios

Accurate prediction of the state of health (SOH) in lithium batteries (LiBs) is essential for ensuring operational safety, extending battery lifespan, and enabling effective second-life applications. However, achieving precise SOH prediction under small-sample conditions remains a significant challe...

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Bibliographic Details
Main Authors: Chang Liu, Shunli Wang, Zhiqiang Ma, Siyuan Guo, Yixiong Qin
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Batteries
Subjects:
lithium-ion battery
small-sample data
battery state of health
deep learning
Online Access:https://www.mdpi.com/2313-0105/11/5/180
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