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Chair: Sekyung Han Affiliate: Kyungpook National University (KNU) Title: Professor Email: skhan@knu.ac.kr |
Theme. Batteries account for 40-50% of the cost of an electric vehicle, yet the state of health (SOH) that decides warranty outcomes, residual value, insurance pricing and second-life eligibility is produced by proprietary, manufacturer-specific algorithms that no independent party can audit. The EU Battery Regulation (2023/1542) responds by mandating a Battery Passport with independently reportable SOH from 2027, and Korea, Japan and the US are moving in the same direction. The technical gap is concrete: the industry lacks health metrics that can be measured from ordinary field operation, across mixed fleets, without manufacturer-supplied internal states.
Scope. This special session gathers fleet-scale, data-driven approaches to battery health for electrified transportation. The six invited papers cover: (1) manufacturer-independent SOH estimation from real-world charging records – an epidemiological approach that treats a vehicle fleet as a population and extracts degradation markers from observational data; (2) AI-based early detection of cell anomalies and thermal-runaway precursors for fire prevention; (3) semi-empirical and physics-informed degradation models validated against field data rather than laboratory cells alone; (4) pack-level asymmetry and parallel-cell interaction as drivers of system-level degradation; (5) degradation-aware V2G and aggregation strategies that price battery wear into grid-service revenue; and (6) certification, residual-value assessment and second-life qualification frameworks aligned with emerging Battery Passport requirements.
Why now. Diagnostics, grid integration and certification are usually discussed in separate rooms. This session deliberately puts them in one, and mixes university, national-programme and industry perspectives from Korea and Japan, so that measurement methods are examined together with the regulatory decisions they will have to support.
Sekyung Han is a Professor in the Department of Electrical Engineering, Kyungpook National University (KNU), Daegu, Korea. He received the B.S. degree from Hanyang University, the M.S. degree from Seoul National University, and the Ph.D. degree from the University of Tokyo in 2012, where his dissertation received the university’s Best Dissertation Award. He served as an Assistant Professor at Hanbat National University before joining KNU in 2015.
His research sits at the intersection of vehicle electrification and power system operation: V2G aggregation and electricity market participation, battery diagnostics with AI-based anomaly detection, and ESS operation strategy. His 2010 IEEE Transactions on Smart Grid paper on optimal V2G aggregator design for frequency regulation has been cited more than 1,400 times, and his practical battery wear model for EV charging applications (Applied Energy, 2014) is widely used for degradation-aware scheduling. He has published 32 SCIE journal papers with more than 3,500 total citations and has led over 20 government and industry projects, including a European real-time-market V2G trading algorithm project and a national programme on data-driven anomaly diagnosis for battery fire prevention.
He co-edited the volume Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies, and founded BetterWhy Co., Ltd., an EV battery diagnostics company.