earticle

영어

The growing demand for electric vehicles (EVs) has led to a surge in retired lithium-ion batteries, highlighting the need for efficient second-life battery management. This study presents an integrated battery reuse validation framework developed by the Korea Automotive Technology Institute (KATECH), combining real-time vehicle data and offline diagnostic testing. The framework utilizes two complementary subsystems: the State Estimation Platform (SEP) and the State Measurement Platform (SMP), which jointly assess battery health through online monitoring and electrochemical testing. These results are further processed by the Grade Classification Platform (GCP) and State Prediction Platform (SPP) to determine reuse suitability and predict remaining useful life (RUL). In a case study of 500 used battery packs, the framework achieved a classification accuracy of 93.2% against expert assessments, and its RUL predictions showed an average error margin of ±7.5% over a six-month field deployment. The platform's automated, data-driven approach enhances safety, performance, and economic viability of second-life batteries. This work supports scalable, intelligent battery reuse ecosystems aligned with circular economy principles.