Driving Strategy Engineer
TUfast Eco Team · Technical University of Munich
- Developed a solver-agnostic optimization framework to compute energy-optimal speed profiles for the lux025 solar race car, competing in the Bridgestone World Solar Challenge 2025.
- Modeled vehicle energy dynamics including battery state-of-charge, solar irradiance, terrain slope, aerodynamic drag, overtaking, and control stops.
- Implemented interchangeable optimization solvers (IPOPT, ALPSO, ParOpt, Gurobi) over a shared vehicle physics model, with GPX route processing and evaluation tooling.