Energy Aware Driving: Optimal Electric Vehicle Speed Profiles for Sustainability in Transportation

摘要

This paper investigates the benefits of exploiting weather conditions for energy optimal driving. Optimization approaches are introduced that are based on the fact that weather-dependent speed profiles can save transportation energy, especially for electric transportation systems. Optimization models for both minimum transportation energy with travel time constraints and minimum travel time with transportation energy constraints are introduced and the resulting speed profiles are analyzed. Infinite dimensional optimization models are proposed for exact problem descriptions and approximate discretized convex models are derived for highly efficient solutions. The optimization tasks are formulated as a deterministic as well as a robust optimization problem, where weather conditions such as wind speed and rolling resistance effects are assumed to be known exactly or within uncertainty bounds. Simulations illustrate the utility of the proposed optimization models and demonstrate achievable efficiency improvements.