Master Thesis: Data-Driven Optimization of Predictive Engine Stop/Start

This Master Thesis role focuses on optimizing the Predictive Engine Stop/Start (PESS) functionality for heavy-duty vehicles to enhance fuel efficiency and expand its operational capabilities. The position involves analyzing real-world customer vehicle data to evaluate PESS performance, identify utilization limits, and quantify potential fuel-saving improvements. The successful candidate will collaborate with engineering teams to develop data-driven solutions and technical concepts that extend PESS operation under various conditions.