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publications
Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published in 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an), 2024
This paper proposes a robust SOH prediction method using ProbSparse Informer architecture for lithium-ion batteries.
Recommended citation: Seo Y., Kim T., & Barde, S. (2025). "Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture." In 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an). Xi'an, China.
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Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System
Published in 2025 IEEE Global Reality & PHM Conference (PHM-Xi'an), 2024
This paper develops a hybrid compression method for accurate End of Life prediction on edge Battery Management Systems.
Recommended citation: Kim T., Seo Y., & Barde, S. (2025). "Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System." In 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an). Xi'an, China.
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Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments
Published in Energy, 2025
This paper proposes a Physics-Informed Neural Network approach for battery State of Health prediction in data-scarce environments.
Recommended citation: Seo Y., Kim T., & Barde, S. (2025). "Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments." Energy. 335, 138316.
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Edge-Compatible SOH Estimation for Li-Ion Batteries via Hybrid Knowledge Distillation and Model Compression
Published in Journal of Energy Storage, 2025
This paper presents an edge-compatible SOH estimation method using hybrid knowledge distillation and model compression techniques.
Recommended citation: Kim T., Seo Y., & Barde, S. (2025). "Edge-Compatible SOH Estimation for Li-Ion Batteries via Hybrid Knowledge Distillation and Model Compression." Journal of Energy Storage. 135, 118275.
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talks
Battery State of Health Prediction Framework Using Physics-Informed Neural Networks
Published:
Presented research on battery State of Health prediction using Physics-Informed Neural Networks at the Korean Society for Reliability conference.
Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published:
Best Paper Award 🏆
Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System
Published:
Presented research on hybrid compression techniques for accurate End of Life (EOL) prediction on edge Battery Management Systems at the 2025 IEEE Global Reliability & PHM Conference in Xi’an, China.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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