A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression
TL;DR
This study introduces a novel, low-cost method for real-time State-of-Health (SOH) estimation in EV battery packs using time series extrinsic regression, addressing challenges from battery complexity.
A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression
Raimondo Gallo; Tommaso Monopoli; Marco Zampolli; Rémi Jacques Philibert Jaboeuf; Paolo Tosco; Edoardo Patti; Alessandro Aliberti
https://doi.org/10.1109/ACCESS.2024.3516215
Volume 13
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 electrochemical complexity of LIBs. This work proposes a novel, computationally-inexpensive, and chemically agnost...