Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network

Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network

Accurately predicting the available capacity of lithium-ion batteries is critical to ensuring the safe operation of energy storage systems. Therefore, this paper proposes a method for predicting the capacity of lithium-ion batteries in energy storage systems based on transfer entropy and JS-BP neura...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaozhong WU, Lihua XIAO, Chao TONG, Xiangyang XIA, Ling YUAN, Xing GAN, Zhiwen JIANG, Xiangyuan HUANG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2025-02-01
Series:Zhongguo dianli
Subjects:
transfer entropy
js-bp neural network
health factor
available capacity
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202310039
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202310039

Similar Items