Real-time eco-driving for connected electric vehicles

This paper presents a real-time eco-driving algorithm for connected electric vehicles. The proposed solution generates a safe eco-speed profile, avoiding collision with the preceding vehicle and respecting the speed limits. An Eco-driving Optimal Control Problem (ED-OCP) is formulated minimizing the energy consumption of an electric vehicle while enforcing state (position, speed, acceleration) constraints. Analytical solutions of the state-constrained ED-OCP are implemented according to a model predictive control scheme. The proposed solution is evaluated using a connected simulation platform developed during the H2020 EU project CEVOLVER, under several driving scenarii, showing a significant energy consumption reduction.