This paper addresses the leader tracking problem for a platoon of heterogeneous autonomous connected fully electric vehicles where the selection of the inter-vehicle distance between adjacent vehicles plays a crucial role in energy consumption reduction. In this framework, we focused on the design of a cooperative driving control strategy able to let electric vehicles move as a convoy while keeping a variable energy-oriented inter-vehicle distance between adjacent vehicles which, depending on the driving situation, was reduced as much as possible to guarantee air-drag reduction, energy saving and collision avoidance. To this aim, by exploiting a distance-dependent air drag coefficient formulation, we propose a novel distributed nonlinear model predictive control (DNMPC) where the cost function was designed to ensure leader tracking performances, as well as to optimise the inter-vehicle distance with the aim of reducing energy consumption. Extensive simulation analyses, involving a comparative analysis with respect to the classical constant time headway (CTH) spacing policy, were performed to confirm the capability of the DNMPC in guaranteeing energy saving.

Distributed nonlinear model predictive control for connected autonomous electric vehicles platoon with distance-dependent air drag formulation / Caiazzo, B.; Coppola, A.; Petrillo, A.; Santini, S.. - In: ENERGIES. - ISSN 1996-1073. - 14:16(2021), p. 5122. [10.3390/en14165122]

Distributed nonlinear model predictive control for connected autonomous electric vehicles platoon with distance-dependent air drag formulation

Caiazzo B.;Coppola A.;Petrillo A.;Santini S.
2021

Abstract

This paper addresses the leader tracking problem for a platoon of heterogeneous autonomous connected fully electric vehicles where the selection of the inter-vehicle distance between adjacent vehicles plays a crucial role in energy consumption reduction. In this framework, we focused on the design of a cooperative driving control strategy able to let electric vehicles move as a convoy while keeping a variable energy-oriented inter-vehicle distance between adjacent vehicles which, depending on the driving situation, was reduced as much as possible to guarantee air-drag reduction, energy saving and collision avoidance. To this aim, by exploiting a distance-dependent air drag coefficient formulation, we propose a novel distributed nonlinear model predictive control (DNMPC) where the cost function was designed to ensure leader tracking performances, as well as to optimise the inter-vehicle distance with the aim of reducing energy consumption. Extensive simulation analyses, involving a comparative analysis with respect to the classical constant time headway (CTH) spacing policy, were performed to confirm the capability of the DNMPC in guaranteeing energy saving.
2021
Distributed nonlinear model predictive control for connected autonomous electric vehicles platoon with distance-dependent air drag formulation / Caiazzo, B.; Coppola, A.; Petrillo, A.; Santini, S.. - In: ENERGIES. - ISSN 1996-1073. - 14:16(2021), p. 5122. [10.3390/en14165122]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/880132
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