Advanced Algorithm for SOC, Internal Resistance, and SOH Co-Estimation of Lithium-Titanate-Oxide Batteries Using Neural Networks

Advanced Algorithm for SOC, Internal Resistance, and SOH Co-Estimation of Lithium-Titanate-Oxide Batteries Using Neural Networks

Lithium-titanate-oxide batteries can reduce the long charging time of electric vehicles by offering fast charging capabilities. However, high charging currents require an accurate estimation of battery internal state to prevent early aging of the battery and dangerous situations. An accurate algorit...

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Bibliographic Details
Main Authors: Riccardo Di Dio, Roberto Di Rienzo, Gianluca Aurilio, Davide Cavaliere, Roberto Saletti
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Batteries
Subjects:
lithium titanate oxide
battery management system
co-estimation algorithm
neural networks
state of charge
internal resistance
Online Access:https://www.mdpi.com/2313-0105/11/6/235
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