Advanced Monitoring and Real-Time State of Temperature Prediction in Lithium-Ion Cells Under Abusive Discharge Conditions Using Data-Driven Modelling

Advanced Monitoring and Real-Time State of Temperature Prediction in Lithium-Ion Cells Under Abusive Discharge Conditions Using Data-Driven Modelling

Accurately predicting lithium-ion batteries’ state of temperature (SOT) is crucial for effective battery safety and health management. This study introduces a novel approach to SOT prediction based on voltage and temperature profiles during the abusive discharging process, aiming for enhanced predic...

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Bibliographic Details
Main Authors: Sandeep Rawat, Devender Kumar Saini, Sushabhan Choudhury, Monika Yadav
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:World Electric Vehicle Journal
Subjects:
lithium-ion battery system
extended cruise run
short cruise run
linear fit regression
decision tree
artificial neural network
Online Access:https://www.mdpi.com/2032-6653/15/11/509
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