Yousef Hassan A Alamri
The transition towards sustainable energy solutions has intensified the interest in second-use electric vehicle (EV) batteries, particularly in grid applications. This thesis aims to provide a comprehensive study on the state of health (SoH) estimation methods for these batteries to enhance their reliability and efficacy in energy storage systems. The methodology involves the development of advanced algorithms that analyze the performance metrics of second-use EV batteries, focusing on aging characteristics and capacity fade. Through extensive experimental validation and simulation, the results demonstrate that accurate SoH estimation can significantly improve battery management systems, thereby extending the service life and optimizing the performance of repurposed batteries in grid operations. The findings indicate that implementing effective SoH estimation techniques can lead to more sustainable practices in utilizing EV batteries and contribute to the overall efficiency of energy systems. This research reinforces the crucial role of battery health assessment in promoting the circular economy within the energy sector.
@article{b85de9c1-b0ef-41ae-aec0-f8a79e4491fe,
title={State of Health Estimation for Second-Use Electric Vehicle Batteries in Grid Applications},
author={Yousef Hassan A Alamri},
year={2022},
language={English}
}TY - JOUR TI - State of Health Estimation for Second-Use Electric Vehicle Batteries in Grid Applications AU - Yousef Hassan A Alamri PY - 2022 LA - English ER -
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