Predicting battery health for energy storage and electric vehicles systems by integrating EMD signal processing and machine learning

Accurate prognostics of battery State-of-Health (SOH) and Remaining Useful Life (RUL) are paramount for the operational safety and economic feasibility of sustainable energy systems, yet are frequently hindered by noise-corrupted sensor data. This study introduces and validates a novel hybrid framew...

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Bibliographic Details

Main Authors:	Sofiuddin, Hafiz, Mat Yusoh, Mohd Abdul Talib, Naidu, Kanendra, Nur Aina Fatini
Format:	Article
Language:	en
Published:	UiTM Press 2025
Subjects:	Motor vehicles. Cycles Biotechnology
Online Access:	https://ir.uitm.edu.my/id/eprint/126337/1/126337.pdf https://ir.uitm.edu.my/id/eprint/126337/ https://jeesr.uitm.edu.my
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