Capacity Estimation for Retired Electric Vehicle Batteries in Agricultural Renewable Energy Systems

This paper presents a novel approach for estimating the remaining capacity of retired electric vehicle (EV) batteries in agricultural renewable energy systems. The experimental setup for measuring battery parameters, particularly focusing on Lithium Iron Phosphate (LFP) batteries under different room temperatures, is outlined. Grey Relational Analysis (GRA) is utilized to identify significant parameters for input to a Long Short-Term Memory (LSTM) model, which accurately estimates the remaining capacity of retired batteries. Simulation results using a measured battery dataset demonstrate the effectiveness of the proposed GRA-LSTM approach. The findings highlight the potential of repurposing retired EV batteries for sustainable energy storage in agricultural applications, optimizing resource utilization and enhancing energy efficiency in farming practices.