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Forecasting battery capacity for second-life applications using physics-informed recurrent neural networks

Sina Navidi, Kristupas Bajarunas, Manuel Arias Chao, Chao Hu

2025eTransportation7 citationsDOIOpen Access PDF

Topics & Concepts

Battery (electricity)Artificial neural networkBattery capacityComputer scienceCognitive scienceArtificial intelligenceNeurosciencePsychologyPhysicsQuantum mechanicsPower (physics)Advanced Battery Technologies ResearchFault Detection and Control SystemsPhotovoltaic System Optimization Techniques
Forecasting battery capacity for second-life applications using physics-informed recurrent neural networks | Litcius