Ngo, Caroline (IFP Energies Nouvelles), Solano-Araque, Edwin (Université d'Orléans, PRISME; Renault S.A.S.), Aguado-Rojas, Missie (Hitachi Astemo), Sciarretta, Antonio (IFP Energies Nouvelles), Chen, Bicheng (RWTH Aachen University), El Baghdadi, Mohamed (Vrije Universiteit Brussel)

Real-Time Eco-Driving for Connected Electric Vehicles

Scheduled for presentation during the Regular session "Optimization and control for electrified vehicles" (MoBT2), Monday, August 23, 2021, 16:50−17:10, Room T2

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

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.