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Title: Real-Time Gear-Shift Optimization for an Autonomous Wheel Loader

Journal Article · · IEEE Transactions on Control Systems Technology
 [1];  [2];  [3]
  1. Texas A&M University, College Station, TX (United States); University of Minnesota
  2. Texas A&M University, College Station, TX (United States)
  3. University of Minnesota, Minneapolis, MN (United States)

Off-road vehicles, such as wheel loaders, consume a significant amount of fuel during the transportation of materials. The gear-shifting process is crucial in fuel savings for transportation, and therefore, optimization of gearshifts is important for vehicle control. For an autonomous off-road vehicle, there is potential for more fuel savings by proper coordination of gearshift optimization and optimization of other control inputs. This brief proposes a new method for integrating gear-shifting into transportation optimization for an autonomous wheel loader to minimize fuel consumption. Furthermore, tests conducted on short loading cycles show that this method can save around 10%–20% of fuel on average compared with a conventional gearshift-scheduling method.

Research Organization:
University of Minnesota, Minneapolis, MN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
Grant/Contract Number:
EE0009200
OSTI ID:
2464100
Journal Information:
IEEE Transactions on Control Systems Technology, Journal Name: IEEE Transactions on Control Systems Technology Journal Issue: 1 Vol. 33; ISSN 1063-6536
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

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