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Author

Giorgio Rizzoni

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Sep 2026

EKF-Based Machine Learning Approach for Battery SOH Prediction in Commercial Vehicles Fleet

Estimating battery state of health (SOH) from field data is essential to ensure successful operation and increase the uptime of battery electric vehicles (BEVs). Most studies in the literature propose methods relying on datasets acquired under controlled laboratory conditions. However, SOH estimation becomes significan...

Valerio D'Agostino, L. Pulvirenti, Anirudh Shanker et al. · 0 citations
Jul 2026

Machine learning-based fault diagnosis for lithium-ion battery systems

An experimental/synthetic hybrid, data-driven FDI framework that leverages supervised machine learning (ML) integrated with an experimentally validated second-order electro-thermal battery model to generate a mixed experimental–synthetic dataset enables fast, real-time diagnosis of complex multi-fault scenarios at the...

Taha Mohamed Abdelatif Maaradji, Saïd Alem, Emanuele Gravante et al. · 0 citations

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