Mission management of electric heavy-duty vehicles with uncertainty awareness

Research Project, 2025 – 2029

This project aims to develop an intelligent mission management algorithm for electric heavy-duty vehicles (EHDVs) that integrates charging coordination, energy management, and thermal regulation while exploring electricity pricing models and charging slot booking systems. The algorithm will use uncertain spatio-temporal data such as vehicle speed, charging power, traffic density, pricing, and weather, enhancing robustness and prediction accuracy. Employing hybrid artificial intelligence, integrating model predictive control and machine learning, the system adapts to both long-term disruptions (e.g., road construction) and short-term disturbances (e.g., accidents). With a goal of reducing total mission time by 5-20% and achieving at least 5% energy savings, the solution will be tested on a real electric truck. This comprehensive approach is expected to improve EHDV profitability and accelerate the adoption of EHDVs and the shift to zero-emission road freight transport.