Real-Time Gear-Shift Optimization for an Autonomous Wheel Loader
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. 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.
Authors
- Zongxuan Sun (ORCID: https://orcid.org/0000-0001-9929-4085)
- Xingyong Song (ORCID: https://orcid.org/0000-0001-8254-8851)
- Sencheng Yu (ORCID: https://orcid.org/0000-0003-4892-5806)
Institutions
- University of Minnesota (US)
- Texas A&M University (US)
Publication Details
- Journal
- IEEE Transactions on Control Systems Technology
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1109/tcst.2024.3460648
- Citations
- 1
- Primary Topic
- Control Systems in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.21