Enhancing Battery SOH Prediction with Butler-Volmer Informed Neural Networks in Data-Scarce Environments
Published in Energy (IF: 9.4, JCR Top 4%) / 1st Author
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Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Presented at 2025 IEEE Global Reliability & PHM Conference (PHM-Xi’an) / 1st Author
publications
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.
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.
Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published in 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an), 2025
This paper proposes a robust SOH prediction method using ProbSparse Informer architecture for lithium-ion batteries.
Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System
Published in 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an), 2025
This paper develops a hybrid compression method for accurate End of Life prediction on edge Battery Management Systems.
talks
Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published:
Best Paper Award 🏆
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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