A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression

A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression

One of the critical challenges posed by the spread of Lithium-ion Batteries (LIBs) within Electric Vehicles (EVs) is the real-time estimation of their State-of-Health (SOH), commonly regarded as the leading indicator of EV aging. However, SOH estimation is still challenging due to the electrochemica...

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Bibliographic Details
Main Authors: Raimondo Gallo, Tommaso Monopoli, Marco Zampolli, Remi Jacques Philibert Jaboeuf, Paolo Tosco, Edoardo Patti, Alessandro Aliberti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Electric vehicle
battery pack
regression
machine learning
state-of-health
Online Access:https://ieeexplore.ieee.org/document/10795164/
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https://ieeexplore.ieee.org/document/10795164/

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