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:
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: http://saecomveh.saejournals.org/

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: Mar 29 2017 4:38PM