State of charge estimation for electric vehicles using random forest

State of charge estimation for electric vehicles using random forest

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This paper introduces an innovative approach to addressing a critical challenge in the electric vehicle (EV) industry—the accurate estimation of the state of charge (SOC) of EV batteries under real-world operating conditions. The electric mobility landscape is rapidly evolving, demanding more precis...

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Bibliographic Details
Main Authors: Mohd Herwan Sulaiman, Zuriani Mustaffa
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Green Energy and Intelligent Transportation
Subjects:
Electric vehicles
Extreme learning machine
Machine learning
Random Forest
State of charge of battery
Online Access:http://www.sciencedirect.com/science/article/pii/S277315372400029X

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http://www.sciencedirect.com/science/article/pii/S277315372400029X

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