김종훈 교수 연구실

Energy Storage and Conversion Laboratory (ESCL)

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김종훈 교수

에너지 저장 및 변환을 연구하는 에너지저장변환실험실이다. 배터리 시스템을 중심으로 에너지 저장 기술 분야를 주요 연구 주제로 다룬다.

배터리시스템

An adaptive fusion-based feature selection pipeline for battery pack state-of-health estimation under machine learning frameworkApplied Energy · 2026
Break-even point analysis of vehicle-to-grid participation reflecting battery degradation cost and user disutility based on hybrid convolutional neural network and long short-term memoryeTransportation · 2026
Data-driven health-aware battery fast charging using adaptive neuro-fuzzy inference system-based optimized end-charging strategy for battery life extensionJournal of Energy Storage · 2026
Intelligent wireless battery management system-based accuracy state-of-health estimation based on a hybrid extreme gradient boosting and Bayesian optimization algorithm for scalable battery energy storage systemJournal of Cleaner Production · 2026
Integrated Multimodal Diagnostics of Lithium-Ion Battery Degradation for Enhanced Second-Life Decision-MakingeTransportation · 2026
Computational Modeling of Lithium-Ion Battery Electrochemical Degradation Using Transfer Learning-Based Long Short-Term Memory NetworksJournal of Industrial and Engineering Chemistry · 2026