Back to Search
Start Over
Cloud-Based Platoon Predictive Cruise Control Considering Fuel-Efficient and Platoon Stability.
- Source :
- Journal of Transportation Engineering. Part A. Systems; Mar2024, Vol. 150 Issue 3, p04023146-1-15, 15p
- Publication Year :
- 2024
-
Abstract
- This work investigates commercial vehicle platoon predictive cruise control for highways. We propose a cloud-based platoon predictive cruise control method (CPPCC). A two-layered control architecture of the CPPCC is proposed as a platoon predictive cruise speed planning layer in the cloud and a platoon stabilization control layer. The CPPCC communication topology is proposed to achieve coupled control of the hierarchical architecture. The speed planning layer is a dynamic planning (DP) algorithm based on road slope in the rolling distance domain. The lower layer is a stability control algorithm to meet the stability requirements of vehicle platoon driving; the vehicle side is distributed model predictive control (DMPC). The CPPCC is validated by real road and vehicle data models, and comparative experiments with the traditional predecessor-leader following–cruise control (PLF-CC) platoon and predecessor following–cruise control (PF-CC) platoon. The speed error of the vehicle platoon was maintained at [−0.25, 0.30] (m=s) and the space error at [−0.13, 0.66] (m) in platoon stability. Against the comparison method, the CPPCC saved fuel by over 5.13% and achieved an overall operational efficiency improvement of 5.71%. [ABSTRACT FROM AUTHOR]
- Subjects :
- CRUISE control
MOTOR vehicle driving
VEHICLE models
PREDICTION models
DATA modeling
Subjects
Details
- Language :
- English
- ISSN :
- 24732907
- Volume :
- 150
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Transportation Engineering. Part A. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 174875674
- Full Text :
- https://doi.org/10.1061/JTEPBS.TEENG-7920