An On-Line Energy Management Strategy for Plug-in Hybrid Electric Vehicles Using an Estimation Distribution Algorithm

Details

• Creators:
  Qi, Xuewei ; Wu, Guoyuan ; Boriboonsomsin, Kanok ; Barth, Matthew J.
• Corporate Creators:
  National Center for Sustainable Transportation (NCST) ; University of California, Davis. Institute of Transportation Studies
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Algorithms
  • Energy consumption
  • Energy resources
  • Exhaust gases
  • Hybrid vehicles
  • Optimization
  • Plug-in hybrid vehicles
  • Real time information
• DOI:
  https://doi.org/10.1109/ITSC.2014.6958087
• Resource Type:
  Manuscript
• Geographical Coverage:
  United States
• Corporate Publisher:
  Institute of Electrical and Electronics Engineers
• Abstract:
  In this paper, we propose a generic framework of real-time energy management for PHEVs, where an Estimation Distribution Algorithm (EDA) is used for on-line (i.e., real-time) optimization of the power-split strategy.
• Content Notes:
  Citation: Xuewei Qi, G. Wu, K. Boriboonsomsin and M. J. Barth, "An on-line energy management strategy for plug-in hybrid electric vehicles using an Estimation Distribution Algorithm," 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014, pp. 2480-2485, doi: 10.1109/ITSC.2014.6958087.
• Format:
  PDF
• Funding:
  69A3551747114
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/67160/dot_67160_DS1.pdf
• File Type:
  [PDF - 490.83 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:3bb336fed0097410a44c8d4cc62ac018b0e38279d15d8a0e85f295ffdf6311d6760ca3eefa80b65163889555ed05facdba1e4bdc7e6ccbfffe92810406360296