The dissertation develops a systematic approach to extend vehicle E/E architectures with cloud-based, controlling software functions and evaluates both the suitability of various vehicle functions and suitable deployment models. HVAC control, for which a cloud-based MPC is implemented and practically validated in two variants - cloud only and fallback - proves to be particularly suitable. The results show energy savings of up to 11% and reliable comfort, with the fallback model being more robust against disconnections. Overall, the work demonstrates the technical feasibility and benefits of the control-over-the-air approach as well as its potential for efficiency, maintainability and scalability.

We are very pleased about this strong scientific achievement and wish Martin all the best for his future career!