1. Eco-Driving for Energy Efficient Cornering of Electric Vehicles in Urban Scenarios
- Author
-
G.P. Padilla, Camiel J.J. Beckers, M.C.F. Donkers, and C. Pelosi
- Subjects
0209 industrial biotechnology ,business.product_category ,Electric vehicles ,Energy management ,Computer science ,Velocity control ,02 engineering and technology ,Vehicle dynamics ,Automotive engineering ,Computer Science::Robotics ,020901 industrial engineering & automation ,Electric vehicle ,0202 electrical engineering, electronic engineering, information engineering ,Energy management system ,Electric Vehicle ,020208 electrical & electronic engineering ,Front-wheel drive ,Optimal control ,Control and Systems Engineering ,Eco-driving ,business ,Energy (signal processing) ,Efficient energy use - Abstract
In this paper, we propose a model for eco-driving that considers cornering effects. The proposed model purely relies on the geometric configuration of the vehicle and road. Consequently, we propose an eco-driving optimal control problem formulation that is suitable for both straight and curved trajectories in urban scenarios. Moreover, it can be applied for vehicles with front wheel drive (FWD) or rear wheel drive (RWD). We use a case study for an electric vehicle executing cornering maneuvers to validate the proposed approach and highlight its advantages with respect to traditional eco-driving formulations. Results show an approximated improvement of 8% in energy savings with respect to traditional eco-driving strategies, especially in trajectories with large curvatures.
- Published
- 2020