Research on SOC Prediction of Lithium-Ion Batteries Based on OLHS-DBO-BP Neural Network

Research on SOC Prediction of Lithium-Ion Batteries Based on OLHS-DBO-BP Neural Network

Accurately estimating the state of charge (SOC) of lithium-ion batteries is of great significance for extending battery lifespan and enhancing the efficiency of energy management. Regarding the issue of the relatively low estimation accuracy of SOC by the backpropagation neural network (BPNN), an en...

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Bibliographic Details
Main Authors: Genbao Wang, Yejian Xue, Yafei Qiao, Chunyang Song, Qing Ming, Shuang Tian, Yonggao Xia
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
lithium-ion batteries
state of charge
BP neural network
dung beetle optimizer
Online Access:https://www.mdpi.com/1996-1073/17/23/6052
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