Research on Echelon Utilization Battery Health Monitoring Modeling and Applicability Evaluation for Multiple Scenarios

Echelon utilization batteries used in electric vehicles still have certain use value after retirement. This paper takes retired power batteries on electric vehicles as the research object to establish a battery model considering battery healthy SOH and SOC. Then, a data-driven correction algorithm based on long short-term memory (LSTM) algorithm is proposed to improve the accuracy of the battery health status monitoring model. Finally, the application strategy and economy of battery storage system in electric vehicle charging station, business park micro-grid and renewable energy generation are evaluated.