Research on the Influencing Factors of Electric Mining Truck Power Battery Failure Based on Exploratory Data Analysis
ZHENG Mingya
ZHENG Xiaodong
WANG Weiwei
QUE Zhonghao
TAO Haibao
PENG Qian
Abstract：The open-pit electric mining truck has a large load capacity,harsh working environment,and significant changes in driving slope.Compared to other application scenarios,the causes of power battery failures in mining trucks are more complex.In order to improve the reliability and environmental adaptability of power batteries,a fault influencing factor analysis method for electric mining truck power batteries based on Exploratory Data Analysis(EDA)was proposed.Driving data of electric mining trucks under real working conditions was collected and a dataset of power battery faults were constructed.Through exploratory analysis techniques such as visual analysis and Pearson correlation analysis,we aim to explore the influencing factors of power battery failures in electric mining trucks.The results indicated that slope,load capacity,total current and voltage of the power battery pack,battery state of charge(SOC),and cell temperature were the main influencing factors causing faults in electric mining truck batteries.Power battery faults analyzed by EDA lays the foundation for later fault diagnosis work.
Keywords：electric mining truckexploratory data analysisPearson correlation analysisvisualization
Publication Date：2025-02-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 91-95 )