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Real-Time Eco-Driving for Connected Electric Vehicles

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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https://hal-ifp.archives-ouvertes.fr/hal-03498077
Contributor : Catherine Belli Connect in order to contact the contributor
Submitted on : Monday, December 20, 2021 - 6:31:27 PM
Last modification on : Wednesday, December 22, 2021 - 3:06:53 AM

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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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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, Elsevier, 2021, 54 (10), pp.126-131. ⟨10.1016/j.ifacol.2021.10.152⟩. ⟨hal-03498077⟩

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