Fraunhofer Center Digital Energy
Fraunhofer Center Digital Energy

Weihan Li

My research develops physics-informed and interpretable machine learning methods for complex physical systems, with a focus on electrochemical energy storage. I establish a methodological framework that integrates electrochemical modeling with data-driven approaches to enable reliable, transferable, and interpretable prediction and control under real-world uncertainty and limited data. My work bridges model based scientific understanding and machine learning, contributing to the development of next-generation data-driven modeling paradigms with applications in battery diagnostics, aging analysis, and digital twins. 

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  • AI applications

    Battery Electric Storage Systems

  • 2026 - present: Research Group Leader, Fraunhofer FIT, »AI and Digitalization of Battery Systems«

    2025 – present: Junior Professor (W1), RWTH Aachen University, Junior Professorship in Artificial Intelligence and Digitalization for Batteries

    2024 - present: BMBF Research Group Leader, RWTH Aachen University, (CARL) BMBF-funded Junior Research Group, »Fast Performance Characterization of Batteries from Production Lines with Machine Learning (SPEED)« 

    2022 – 2023: Junior Research Group Leader, RWTH Aachen University, (CARL) Principal Investigator of the independent research group »AI for batteries«

    2018 – 2021: Dr.-Ing., Electrical Engineering, RWTH Aachen University

    Doctoral thesis: »Battery digital twin with physics-based modeling, battery data and machine learning.«