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Journal Articles IFAC-PapersOnLine Year : 2021

Real-Time Eco-Driving for Connected Electric Vehicles

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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.
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Dates and versions

hal-03498077 , version 1 (20-12-2021)

Licence

Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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Caroline Ngo, Edwin Solano-Araque, Missie Aguado-Rojas, Antonio Sciarretta, Bicheng Chen, et al.. Real-Time Eco-Driving for Connected Electric Vehicles. IFAC-PapersOnLine, 2021, 54 (10), pp.126-131. ⟨10.1016/j.ifacol.2021.10.152⟩. ⟨hal-03498077⟩

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