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.

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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
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article

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

Zongxuan Sun, Xingyong Song, Sencheng Yu
1 citations
IEEE Transactions on Control Systems Technology
Control Systems in Engineering
0.21
article

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

Zongxuan Sun, Xingyong Song, Sencheng Yu
article en
1 citations

Abstract

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.

IEEE Transactions on Control Systems TechnologyVol. 33(1)
University of Minnesota (US), Texas A&M University (US)
Affordable and clean energy
Openalex Percentile: Top 51%
Control Systems in Engineering
0.21
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