Hybrid machine learning and EKF based pipeline for lithium ion battery SoH estimation
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
Published online on February 06, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
This work proposes a novel hybrid framework for real-time and embedded-compatible estimation of lithium-ion battery State of Health (SoH), integrating electrochemical insights with machine learning and physics-informed filtering. The novelty of this work ...
This work proposes a novel hybrid framework for real-time and embedded-compatible estimation of lithium-ion battery State of Health (SoH), integrating electrochemical insights with machine learning and physics-informed filtering. The novelty of this work ...