Reducing the Computational Cost for Artificial Intelligence-Based Battery State-of-Health Estimation in Charging Events

Reducing the Computational Cost for Artificial Intelligence-Based Battery State-of-Health Estimation in Charging Events

Powertrain electrification is bound to pave the way for the decarbonization process and pollutant emission reduction of the automotive sector, and strong attention should hence be devoted to the electrical energy storage system. Within such a framework, the lithium-ion battery plays a key role in th...

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Bibliographic Details
Main Authors: Alessandro Falai, Tiziano Alberto Giuliacci, Daniela Anna Misul, Pier Giuseppe Anselma
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Batteries
Subjects:
lithium-ion battery
SOH estimation
artificial intelligence
lifetime prediction
neural networks
supervised learning
Online Access:https://www.mdpi.com/2313-0105/8/11/209

Internet

https://www.mdpi.com/2313-0105/8/11/209

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