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terencetaothucb/README.md
  • 👋 Hi, I’m @terencetaothucb
  • 👀 I’m interested in AI-enabled applications for sustainable use of retired electric vehicle batteries (reuse and recycling), e.g., power grid energy storage and critical material recycling. Special attention is paid to state diagnosis and prognosis under limited and heterogeneous data availability. I also work closely with material scientist on AI for Science (AI4S) topics.
  • 🌱 I’m currently learning to write understandable code...
  • 💞️ I’m looking to collaborate on AI4Energy, AI4Science, and AI4Sustainability.
  • 📫 How to reach me: here, here and here.
  • 😄 Pronouns: he/him/his
  • ⚡ Fun fact: use AI/ML to give retired batteries a "second-life".
  • 🎓 Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=MHzCCogAAAAJ

Popular repositories Loading

  1. TBSI-Sunwoda-Battery-Dataset TBSI-Sunwoda-Battery-Dataset Public

    Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verifi…

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  2. Pulse-Voltage-Response-Generation Pulse-Voltage-Response-Generation Public

    PulseBat dataset for retired battery reuse and recycling decision making. We open-source the collected PulseBat dataset for pulse voltage response generation of the retired batteries across random …

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  3. CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data Public

    Code for PulseBat dataset. We use conditional variational autoencoder to generate sufficient pulse voltage response data across random battery SOC retirement conditions, facilitating rapid, accurat…

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  4. Early-Battery-Degradation-Prediction-via-Chemical-Process-Inference Early-Battery-Degradation-Prediction-via-Chemical-Process-Inference Public

    This repository is for the Non-destructive degradation pattern decoupling for early battery trajectory prediction via physics-informed learning

    Python 6 2

  5. Immediate-remaining-capacity-estiamtion-of-second-life-batteries Immediate-remaining-capacity-estiamtion-of-second-life-batteries Public

    The repository implements a deep generative transfer learning that addresses the data scarcity and heterogeneity challenges in remaining capacity estimation of second-life batteries, together with …

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  6. ECM-ParaID-for-second-life-batteries ECM-ParaID-for-second-life-batteries Public

    This repository creates a model based parameter identification method for second-life batteries considering degraded OCV-SOC relationship.

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