Optimal Operation of a Plug-In Hybrid Vehicle

The authors present a convex optimization control method that has been shown in simulations to increase the fuel efficiency of a plug-in hybrid electric vehicle by over 10%. Using information on energy demand and energy use profiles, the problem is defined to preferentially use battery resources sourced from the grid over petroleum resources. The authors pose the general nonlinear optimal resource management problem over a predetermined route as a convex optimization problem using a reduced model of the vehicle. This problem is computationally efficient enough to be optimized “on the fly” on the on-board vehicle computer and is thus able to adapt to changing vehicle conditions in real time. Using this reduced model to generate control inputs for the detailed vehicle simulator autonomie, the authors record efficiency gains of over 10% as compared to the industry standard charge depleting charge sustaining controller over synthetic mixed urban-suburban routes.

• Record URL:
  • https://doi.org/10.1109/TVT.2018.2866801
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Platt, Jason
  • Moehle, Nicholas
  • Fox, John D
  • Dally, William
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 10366-10377
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 67
  • Issue Number: 11
  • 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: Electric batteries; Electric vehicles; Engine performance; Optimization; Plug-in hybrid vehicles
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01699485
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 22 2019 4:15PM