Eco-Driving Optimal Controller for Autonomy Tracking of Two-Wheel Electric Vehicles

The eco-driving profiles are algorithms able to use additional information in order to create recommendations or limitation over the driver capabilities. They increase the autonomy of the vehicle but currently their usage is not related to the autonomy required by the driver. For this reason, in this paper, the eco-driving challenge is translated into two-layer optimal controller designed for pure electric vehicles. This controller is oriented to ensure that the energy available is enough to complete a demanded trip, adding speed limits to control the energy consumption rate. The mechanical and electrical models required are exposed and analyzed. The cost function is optimized to correspond to the needs of each trip according to driver behavior, vehicle, and trajectory information. The optimal controller proposed in this paper is a nonlinear model predictive controller (NMPC) associated with a nonlinear unidimensional optimization. The combination of both algorithms allows increasing around 50% the autonomy with a limitation of the 30% of the speed and acceleration capabilities. Also, the algorithm is able to ensure a final autonomy with a 1.25% of error in the presence of sensor and actuator noise.

• Record URL:
  https://doi.org/10.1155/2020/7893968
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Supplemental Notes:
  • ©2020 Y Bello, et al.
• Authors:
  • Bello, Y
  • Azib, T
  • Larouci, C
  • Boukhnifer, M
  • Rizoug, N
  • Patino, D
  • Ruiz, F
• Publication Date: 2020-2

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 15p
• Serial:
  • Journal of Advanced Transportation
  • Volume: 2020
  • Issue Number: Article ID 7893968
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automatic controllers; Autonomous vehicles; Behavior; Ecodriving; Electric vehicles; Energy consumption; Intelligent vehicles
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01737919
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 27 2020 9:07AM