Email: changfu.zou@chalmers.se
Phone: +46 (0)31-772 3392
Hörsalsvägen 11, Göteborg 41296, Sweden
I am a Professor and PI of the Energy Systems and Optimal Control (eSOC) research group within the Automatic Control unit at the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Supervised and managed 6 Marie Skłodowska-Curie Individual/Postdoctoral Fellowships
Awarded 2019 Swedish Research Council Starting Grant
Awarded 2023 Swedish Research Council Project Grant
Awarded 2025 Knut and Alice Wallenberg Foundation grant (WASP programme; together with Prof. Yasemin Bekiroglu)
Congratulations to Yang Li (Professor, Wuhan University), Yicun Huang (Assistant Professor, Uppsala University), and Meng Yuan (Lecturer at Victoria University of Wellington) on their appointments
Continuously seeking talented postdocs in batteries, control, and machine learning
The recruitment of three new postdocs has been finalized. Emma, Hamza, and Albert will soon join us!
October 2026 — At VPPC 2026 in Lyon, I am co-organizing Special Session SS10, Health-Aware Control and Lifecycle Management of Electric Vehicle Energy Systems.
October 2026 — I am co-organizing and speaking at the VPPC workshop Battery Intelligence for Sustainable and Lifecycle-Aware Mobility on 7 October.
September–October 2026 — I am coordinating and teaching TRA445 Battery analysis: Testing, control and modelling at Chalmers, with contributions from Chalmers, Uppsala University, Volvo Cars and Volvo Group.
August 2026 — Our paper, “Quantifying the impact of cell-to-cell inconsistency on electric vehicle battery degradation and utilization,” was published in Nature Energy. Using data from electric-car and bus fleets, we show how cell inconsistency can shorten pack lifetime and reduce power capability.
August 2026 — I delivered a keynote at the 6th International Conference on Computer and Communication Engineering in Milan, "Model-Integrated Neural Networks for Fast Simulation and Hidden Physics Discovery."
July 2026 — Our paper, “System-level assessment of dynamic reconfiguration for lifetime and cost outcomes in EV battery packs,” was published in Nature Communications. The study examines how dynamic pack reconfiguration affects battery lifetime and cost.