Executive Summary : | Energy storage, particularly batteries, is crucial for renewable grids, electrified transportation, and sustainable society. However, managing retired batteries presents a challenge, and the recommended solution is 3R: reuse, remanufacture, and recycle. Retired Electric Vehicle (EV) batteries hold approximately 80% of their initial capacity and can be used in low power applications. The growth in EV adoption demands an EV resale platform, which calls for appropriate methodologies to evaluate EV battery status. This project aims to provide solutions for effective reuse or repurpose of retired batteries, especially EV batteries, and onboard EV battery diagnosis for safe use and accurate resale evaluation. The project plans to estimate the present state of health (SOH) and predict the remaining useful life (RUL) for retired and onboard batteries, aiming to reduce diagnosis time while satisfying desired diagnostic accuracy. The project will develop an optimal test profile, a machine learning model, and a combination of these models to provide a diagnostic solution with overall time minimization while satisfying accuracy. The research will focus on low-end EVs and validate the developed health diagnostic framework under realistic scenarios using test facilities at NIT Silchar and Renon India Pvt. Ltd. This work will fill a gap in knowledge and technology development for efficient repurposing of retired batteries, leading to energy savings and reduced carbon footprint. Additionally, it will provide business opportunities in the second-hand EV market, product warranty, and second life use mainly in rural India. |