State of Health Estimation for Second-Use Electric Vehicle Batteries in Grid Applications

The increasing integration of electric vehicles (EVs) into the grid presents unique challenges and opportunities in the management of their battery systems. This research aims to develop methods for estimating the state of health (SoH) of second-use electric vehicle batteries and assess their viability for grid applications. A thorough literature review was conducted to identify existing estimation techniques and their effectiveness in real-world scenarios. Experimentation involved the collection of battery data under various operating conditions to provide empirical insights. In addition, advanced algorithms were developed to facilitate accurate SoH estimation, utilizing both electrical and thermal measurements over time. The results demonstrated that the proposed methods significantly improved the accuracy of SoH estimations compared to traditional techniques, with a promising correlation observed between the estimated and actual performance metrics of the batteries under consideration. Ultimately, this study provides a framework that enhances our understanding of battery degradation in second-use applications, paving the way for more sustainable energy management solutions in the evolving landscape of renewable energy sources.