Real-time adaptive neural network-based state of charge prediction of battery pack in a digital twin framework

The accurate and real-time prediction of state of charge (SoC) in battery pack is crucial for the safe and efficient operation of electric vehicles. Traditional estimation methods often suffer from reduced accuracy under sensor errors, battery aging, and dynamic load conditions. This study presents...

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Autori principali:	Shaik Farooq, M. Harshith, Aneeshsingh Bhatkhande, N. Kumaresan, B. Karthikeyan, A. Rammohan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-03-01
Serie:	Array
Soggetti:	Adaptive neural network Battery Battery management system Digital twin Electric vehicle
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2590005625002656
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