Litcius/Paper detail

Remaining useful life prediction for lithium-ion batteries in highway electromechanical equipment based on feature-encoded LSTM-CNN network

Xuejian Yao, K. X. Su, Hongbin Zhang, Shuai Zhang, Haiyan Zhang, Jian Zhang, Haiyan Zhang, Haiyan Zhang, Jian Zhang

2025Energy21 citationsDOI

Topics & Concepts

Lithium (medication)Feature (linguistics)Computer scienceIonArtificial intelligenceAutomotive engineeringPattern recognition (psychology)EngineeringChemistryMedicinePsychiatryOrganic chemistryPhilosophyLinguisticsAdvanced Battery Technologies ResearchFault Detection and Control SystemsReliability and Maintenance Optimization
Remaining useful life prediction for lithium-ion batteries in highway electromechanical equipment based on feature-encoded LSTM-CNN network | Litcius