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Towards real-world battery health intelligence: A review of machine learning advances and challenges in SOH estimation

Xing Shu, Jiangwei Shen, Fengxiang Guo, Yonggang Liu, Yuanjian Zhang, Zheng Chen, Hongqian Zhao

2025eTransportation22 citationsDOI

Topics & Concepts

Computer scienceBridging (networking)State of healthMachine learningDimensionality reductionArtificial intelligenceArtificial neural networkBattery (electricity)Convolutional neural networkField (mathematics)Supervised learningInterpretabilityData acquisitionFeature extractionDeep learningPredictive maintenanceReliability engineeringCondition monitoringCurse of dimensionalityData miningEngineeringControl engineeringEfficient energy useEnsemble learningFeature (linguistics)Energy consumptionReduction (mathematics)Boosting (machine learning)Time seriesAdvanced Battery Technologies ResearchMachine Fault Diagnosis TechniquesElectric Vehicles and Infrastructure
Towards real-world battery health intelligence: A review of machine learning advances and challenges in SOH estimation | Litcius