An optimal power management strategy for power split plug-in hybrid electric vehicles

Model Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information from the powertrain and handling hard constraints on such problems. In this paper, a power management strategy for a power split plug-in HEV is proposed using the concept of MPC to evaluate the effectiveness of this method on minimising the fuel consumption of those vehicles. Also, the results are compared with dynamic programming.

• Record URL:
  https://doi.org/10.1504/ijvd.2012.050085
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14775360
• Authors:
  • Taghavipour, A
  • Azad, N L
  • McPhee, J
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 286-304
• Serial:
  • International Journal of Vehicle Design
  • Volume: 60
  • Issue Number: 3-4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1477-5360
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVD

Subject/Index Terms

• TRT Terms: Adaptive control; Dynamic programming; Fuel consumption; Optimization; Plug-in hybrid vehicles
• Uncontrolled Terms: Model predictive control
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01458234
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 31 2012 5:56PM