Yizhou Zhang

Yizhou Zhang

I am passionate about developing AI-driven battery management solutions that optimize performance, extend lifespan, and enhance reliability through advanced, data-driven analytics.

About Me

I’m a technical specialist and industrial PhD at Zeekr Technology Europe, affiliated with the Automatic Control research group at Chalmers University of Technology. My journey in the automotive industry started right after my master’s graduation, where I began as a Battery Software Engineer at National Electric Vehicle Sweden (NEVS). Since then, I’ve worn multiple hats—from Software Engineer to System Engineer, Validation Engineer, and Technical Specialist—all in the electrifying world of battery technology.

My passion lies in the intersection of data science and battery technology. I specialize in leveraging data-driven methods for battery aging diagnostics and prognostics. I’m particularly fascinated by how smart analytics can help understand, predict, and ultimately extend the lifespan of traction batteries for electrified vehicles and battery energy storage systems. Through my research and projects, I aim to push the boundaries of battery performance and help pave the way for more sustainable, efficient mobility and energy storage solutions.

I thrive on solving real-world challenges with innovative technology, and I love exploring new ways to make batteries not only last longer but also work smarter.

Get in Touch

If you’d like to discuss anything related to batteries, electric vehicles, energy storage, or the intersection of industry and academia, I’d be delighted to connect. Feel free to reach out to me at: yizhou[at] chalmers [dot] se.

Short Bio

Education

  • Ph.D. Electrical Engineering, Chalmers University of Technology, 2024
    • Thesis: “[Data-driven battery aging diagnostics and lifetime extension]”
  • M.Sc. Electrical Engineering, Royal Institute of Technology (KTH), 2016
    • Specializations: Smart Electrical Networks and Systems affiliated with EIT InnoEnergy
  • M.Sc. Electrical Engineering, Catholic University of Leuven (KU Leuven), 2016
    • Thesis: “Modularized battery management systems for Lithium-Ion battery packs in EVs”
  • B.Sc. Electrical Engineering, Southeast University, 2014

Professional Experiences

  • Technical Specialist & Industrial PhD Student
    China Euro Vehicle Technology AB, Sweden
    2020 - Present
    • Design and develop innovative battery aging estimation and prediction methods using real-world fleet data.
    • Develop health-conscious fast charging strategies.
    • Design and evaluate next-generation battery systems.
    • Conduct long-term battery cell lifetime evaluation tests.
    • Perform commercial cell opening, post-mortem analysis, and assemble three-electrode cells.
  • Battery System Validation Engineer
    China Euro Vehicle Technology AB, Sweden
    2017 - 2020
    • Established battery test benches and battery management system hardware-in-the-loop systems from scratch.
    • Conducted battery pack testing and comprehensive battery system verification on vehicles.
    • Executed hardware-in-the-loop tests for battery management systems.
    • Validated battery software functionality.
    • Participated in vehicle winter/summer expeditions to verify complete high voltage systems.
  • Battery Software Engineer
    National Electric Vehicle Sweden (NEVS), Trollhättan, Sweden
    2016 - 2017
    • Developed model-based battery control software for battery management systems.
    • Led the design and development of battery pack state of charge estimation software, open circuit voltage estimation algorithms, and resistance estimation algorithms.
    • Integrated and verified software (application layer and basic software).