Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in Electric Vehicles (EVs). Traditional estimation methods fail to account for the complex, non-linear interactions betw...

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Bibliographic Details
Main Authors: Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
electric vehicles
state-of-charge estimation
lithium-ion batteries
core temperature
tree-based model
Online Access:https://ieeexplore.ieee.org/document/11086533/
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