Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC
Kai Tang, Weijie Wang, Xiao Pan, Boli Chen, and Simos A. Evangelou

TL;DR
This paper proposes a decentralized model predictive control strategy for hybrid electric vehicles at signal-free intersections, demonstrating cost efficiency comparable to battery electric vehicles amid rising electricity prices.
Contribution
It introduces a convex optimization-based decentralized coordination method for hybrid electric CAVs at intersections, considering economic and safety constraints.
Findings
Hybrid electric vehicles achieve similar costs to battery electric vehicles.
Decentralized control ensures real-time solution and safety.
Economic benefits increase with rising electricity prices.
Abstract
The development of electric and connected vehicles as well as automated driving technologies are key towards the smart city, with convenient urban mobility and high energy economy performance. However, the global rise in electricity price provokes renewed interest on CAVs with hybrid electric powertrains rather than considering battery electric powertrains. This paper provides a decentralized coordination strategy for a group of connected and autonomous vehicles (CAVs) with a series hybrid electric (sHEV) powertrain at signal-free intersections. The problem is formulated as a convex form with suitable relaxation and approximation of the powertrain model and solved by decentralized model predictive control, which is able to ensure a rapid search and unique solution in real time. Numerical examples validate the effectiveness of the proposed methods concerning physical and safety…
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Taxonomy
TopicsVehicle emissions and performance · Electric Vehicles and Infrastructure · Energy, Environment, and Transportation Policies
