Yixiu Wang

Yixiu Wang

Yixiu Wang is a PhD student studying Chemical and Biological Engineering (CHBE) at UBC. He received his bachelor's degree and master's degree in Vehicle Engineering/Automotive Electronics from Tongji University in China, where he worked on life equalization strategy for series battery pack to maximum discharge energy. His current research interests include applying machine learning techniques to develop lithium-ion battery degradation models to accurately estimate and predict power and capacity loss, and optimizing power system operation incorporating battery degradation.



📚 Program/Degree
PhD | Started 2019
📝 Research
Modeling, Control and Optimization of Battery Systems
👥 Also supervised by
📨 Contact

DAIS Lab Publications

  1. Conference Proceedings
    Online Capacity Estimation of Lithium-ion Batteries by Partial Incremental Capacity Curve
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    Proceedings of the 19th IEEE Vehicle Power and Propulsion Conference (To Appear). 2022 [PDF]
  2. Journal Paper
    Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
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    Nature Communications. 2022 [PDF] [Code]
  3. Journal Paper
    Causal Discovery based on Observational Data and Process Knowledge in Industrial Processes
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    Industrial & Engineering Chemistry Research. 2022 [PDF]
  4. Journal Paper
    Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction
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    Applied Energy. 2023 [PDF]
  5. Journal Paper
    A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
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    Industrial and Engineering Chemistry Research. 2024 [PDF]
  6. Journal Paper
    Real-Time Tracking of Renewable Carbon Content with AI-aided Approaches During Co-Processing of Biofeedstocks
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    Applied Energy. 2024 [PDF]

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