Digital twin technologies for battery systems: advancements, applications, and future directions

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model developme...

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Xehetasun bibliografikoak

Egile Nagusiak:	Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2026-01-01
Saila:	Frontiers in Batteries and Electrochemistry
Gaiak:	cyber securities digital twin (DT) lithium-ion batteries (LIBs) machine learning (ML) thermal management system (TMS)
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fbael.2026.1764210/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!