Fuel-Economical Distributed Model Predictive Control for Heavy-Duty Truck Platoon

Mehmet Fatih Ozkan, Yao Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a fuel-economical distributed model predictive control design (Eco-DMPC) for a homogenous heavy-duty truck platoon. The proposed control strategy integrates a fuel-optimal control strategy for the leader truck with a distributed formation control for the following trucks in the heavy-duty truck platoon. The fuel-optimal control strategy is implemented by a nonlinear model predictive control (NMPC) design with an instantaneous fuel consumption model. The proposed fuel-optimal control strategy utilizes the preview information of the preceding traffic to achieve the fuel-economical speed planning by avoiding energy-inefficient maneuvers, particularly under transient traffic conditions. The distributed formation control is designed with a serial distributed model predictive control (DMPC) strategy with guaranteed local and string stability. In the DMPC strategy, each following truck acquires the future predicted state information of its predecessor through vehicle connectivity and then applies local optimal control to maintain constant spacing. Simulation studies are conducted to investigate the fuel economy performance of the proposed control strategy and to validate the local and string stability of the platoon under a realistic traffic scenario. Compared with a human-operated platoon and a benchmark formation-controlled platoon, the proposed Eco-DMPC significantly improves fuel economy and road utilization.

Original languageEnglish
Title of host publication2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1919-1926
Number of pages8
ISBN (Electronic)9781728191423
DOIs
StatePublished - Sep 19 2021
Event2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States
Duration: Sep 19 2021Sep 22 2021

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2021-September

Conference

Conference2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Country/TerritoryUnited States
CityIndianapolis
Period09/19/2109/22/21

Fingerprint

Dive into the research topics of 'Fuel-Economical Distributed Model Predictive Control for Heavy-Duty Truck Platoon'. Together they form a unique fingerprint.

Cite this