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

TL;DR

This paper introduces a novel distributed model predictive control approach that enhances fuel efficiency and stability in heavy-duty truck platoons by integrating fuel-optimal planning with formation control using vehicle connectivity.

Contribution

It develops a combined fuel-optimal and formation control strategy using nonlinear and distributed MPC, improving fuel economy and stability in truck platoons.

Findings

Significant fuel savings compared to human-operated platoons.

Maintains string stability under realistic traffic scenarios.

Effective use of preview information for fuel-efficient speed planning.

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 the fuel economy and road utilization.