Fault diagnosis of lithium-ion battery based on double relocation and echo state network
REN Dong
LUN Shuxian
Abstract：Aiming at the characteristics of the fault of the electric vehicle power battery pack,this paper studies a complete set of power battery fault diagnosis method,establishes an experimental platform,physically triggers the external short circuit,internal short circuit and contact fault of the series battery pack.Firstly,the sensor interleaved topology is used to obtain the battery voltage data.The double location structure of adjacent sensors combined with correlation coefficient was used to locate the fault data.Finally,the gradient descent method was used to find the parameters of echo state network,and the classification model was constructed for classification.Experimental results verify the feasibility and superiority of the proposed method.
Keywords：lithium-ion battery packfault diagnosiscoefficient of correlationecho state network
Publication Date：2025-06-15
Online Publishing Date：2025-09-09(First online date of this platform, not the publication date of the document)
Pages：11( 142-152 )