Paper Info
Title
Synchronization Of Pulse-And-Glide Operation In Vehicle Platooning Using Cooperative Adaptive Cruise Control
Abstract
This paper considers a platoon of connected and automated vehicles implementing the pulse-and-glide (PnG) strategy. PnG is an eco-driving technique that periodically turns on and off the engine to achieve better fuel economy. Although the literature reported significant fuel savings with PnG, such benefits may degrade considerably due to the inability to complete the target PnG cycles when the PnG vehicles are not driving alone. Moreover, the variety in powertrains and preferences between ride comfort and fuel economy motivate different accelerations in PnG. Therefore, platooning of PnG vehicles is a challenging task. To overcome this challenge, this paper presents a decentralized PnG synchronization method to coordinate the PnG vehicles in platoons, so that the vehicles can realize their target PnG cycles. In particular, each vehicle maintains a virtual oscillator that is synchronized using vehicle-to-vehicle communication with the other virtual oscillators in the platoon via the Kuramoto model. With the virtual oscillator, the desired vehicle states are obtained via the phase-angle-parameterized target phase portrait of PnG. A state feedback controller is then used to track the desired vehicle states. Thus the PnG vehicles are synchronized after the synchronization of the virtual oscillators. A range keeping mechanism integrated with this feedback controller is also designed. Numerical simulations show that this synchronization method helps the PnG vehicles in a platoon realize their target PnG cycles even if their acceleration limits are different. This synchronization is achieved while maintaining the desired range with a small amount of range oscillations, leading to a more compact platoon.
Year
DOI
Venue
2020
10.23919/ACC45564.2020.9148033
2020 AMERICAN CONTROL CONFERENCE (ACC)
DocType
ISSN
Citations 
Conference
0743-1619
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Su-Yang Shieh100.68
Tulga Ersal23315.63
Huei Peng3805150.82