Session Details
[O3-1]Battery Diagnosis and Estimation
Mon. Jun 1, 2026 4:30 PM - 6:10 PM JST
Mon. Jun 1, 2026 7:30 AM - 9:10 AM UTC
Mon. Jun 1, 2026 7:30 AM - 9:10 AM UTC
Room 101A(1F)
Chair:Xing Wei(Aalborg University), Yuki Okuda
[O3-1-01]Fault Detection and Diagnosis Within Battery Systems Using Autoencoders and Explainable AI
*Michael Theiler1, Can Karaali1, Christian Endisch1 (1. Technische Hochschule Ingolstadt, Institute of Innovative Mobility (IIMo), Research team Electromobility and Learning Systems (Germany))
[O3-1-02]Robust State-of-Health Estimation for Lithium-Ion Batteries Using Impedance-Optimized Parameters and an Ensemble Learning Approach
*Yura Kim1, Jaehyeong Lee1, Dongcheol Lee1, Woonki Na2, Jonghoon Kim1 (1. Chungnam National University, Department of Electrical Engineering (Korea), 2. California State University Fresno, Department of Electrical Engineering (USA))
[O3-1-03]Dynamic EIS for Battery Temperature Estimation under Real-time Operating Conditions
*Jaea Lee1, Miyoung Lee1, Yura Kim1, Jiwoong Kim1, Woonki Na2, Jonghoon Kim1 (1. Chungnam national university (Korea), 2. California State University (USA))
[O3-1-04]BMIC-Based Electrochemical Impedance Spectroscopy Calibration Method for Battery Modules with Parasitic Element Compensation
*Miyoung Lee1, Yura Kim1, Jaea Lee1, Jiwoong Kim1, Woonki Na2, Jonghoon Kim1 (1. Chungnam National University (Korea), 2. California state university (USA))
[O3-1-05]Explainable XGBoost-SHAP-Based Classification of Battery Degradation Environments Using Multi Features
*Garam Yang1, Jonghoon Kim1, Woonki Na2 (1. Chungnam National University, Department of Electrical Engineering (Korea), 2. California State University, Department of Electrical Engineering (USA))