Real-Time Gear-Shift Optimization for an Autonomous Wheel Loader
- Texas A&M University, College Station, TX (United States); University of Minnesota
- Texas A&M University, College Station, TX (United States)
- 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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