A Global Optimal Energy Management System for Hybrid Electric off-road Vehicles

Energy management strategies greatly influence the power performance and fuel economy of series hybrid electric tracked bulldozers. In this paper, we present a procedure for the design of a power management strategy by defining a cost function, in this case, the minimization of the vehicle’s fuel consumption over a driving cycle. To explore the fuel-saving potential of a series hybrid electric tracked bulldozer, a dynamic programming (DP) algorithm is utilized to determine the optimal control actions for a series hybrid powertrain, and this can be the benchmark for the assessment of other control strategies. The results from comparing the DP strategy and the rule-based control strategy indicate that this procedure results in approximately a 7% improvement in fuel economy.

• Record URL:
  https://doi.org/10.4271/2017-01-0425
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1946391X
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Wang, Hong
  • Huang, Yanjun
  • Lv, Chen
  • Khajepour, Amir
• Conference:
  • WCX™ 17: SAE World Congress Experience
  • Location: Detroit Michigan, United States
  • Date: 2017-4-4 to 2017-4-6
• Publication Date: 2017-3-28

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 524-531
• Serial:
  • SAE International Journal of Commercial Vehicles
  • Volume: 10
  • Issue Number: 2
  • Publisher: SAE International
  • ISSN: 1946-391X
  • EISSN: 1946-3928
  • Serial URL: https://www.sae.org/publications/collections/content/E-JOURNAL-02/

Subject/Index Terms

• TRT Terms: Algorithms; Bulldozers; Fuel conservation; Fuel consumption; Hybrid vehicles; Optimization; Power trains
• Uncontrolled Terms: Driving cycles
• Subject Areas: Energy; Highways; Motor Carriers; Vehicles and Equipment;

Filing Info

• Accession Number: 01634708
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2017-01-0425
• Files: TRIS, SAE
• Created Date: May 16 2017 9:30AM