Marco Deschmann

Working in the development of electric motor concepts for traction applications. My role involves simulation, design optimization, and validation of electric machines to meet performance and efficiency targets. I also contribute to the improvement of design tools and workflows, supporting innovation and product development within the R&D team.

Conducted an in-depth analysis of key parameters affecting the energy consumption of the cooling system in EVs. Focused on performance optimization through targeted improvements, aiming to reduce energy demand. Gained advanced technical knowledge in vehicle thermal management systems.

Led and supported new team members in the development of the 2024 electric race car, overseeing all phases from design to implementation of the e-powertrain system.

Developed a simulation model of the electric drive in Matlab Simulink, contributed to system validation and optimization, and collaborated with suppliers to source components and explore new technical partnerships.

Master's degree theses in collaboration with BMW Group GmbH Steyr. Title: Parameter study to optimize thermal management of battery electric vehicle. University Projects: Mathematical Optimization: Developed a model based on a published paper to optimize a courier's delivery route, considering home and locker deliveries based on customer preferences. The project aimed to reduce costs and improve logistics efficiency. Machine Learning: Implemented a Support Vector Machine (SVM) model to predict basketball game outcomes, using team and player performance metrics and accounting for injuries during the season. Design Fundamentals: Designed and implemented a genetic algorithm to find the maximum of a given function, focusing on evolutionary operators (selection, crossover, mutation) and analyzing convergence to the optimal solution.

Bachelor degree thesis Title: Nuclear fusion reactor type Tokamak, study of magnetic confinement of plasma.