Predictive Cruise Control Using High-Definition Map and Real Vehicle Implementation

The development of high-definition (HD) maps has enabled predictive cruise control (PCC) systems to access additional road and traffic information. This study provides a novel control scheme of PCC, which utilizes HD map information. To minimize fuel consumption, the problem of the PCC is formulated as a nonlinear model predictive control, and the derivation and implementation of the fast solver are discussed. Then, a novel shift-map is proposed to define the different working regions to allow the application of the proposed PCC system. The use of the real-time HD map is discussed, and the proposed control scheme is evaluated through simulation and experimental tests. The total fuel-savings rates obtained with the PCC system and factory-installed ACC system over a 370 km route were compared. An average fuel-savings rate of as high as 8.73% can be obtained by the proposed PCC system.

• Record URL:
  • https://doi.org/10.1109/TVT.2018.2871202
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Chu, Hongqing
  • Guo, Lulu
  • Gao, Bingzhao
  • Chen, Hong
  • Bian, Ning
  • Zhou, Jianguang
• Publication Date: 2018-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 11377-11389
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 67
  • Issue Number: 12
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Cruise control; Fuel consumption; Fuels; Highway traffic; Mathematical prediction; Torque
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01695364
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 21 2019 9:51AM