Torque-adaptive resistance-reducing shoveling strategy for loaders
Year: 2025
Type: article
Abstract: The time-varying working resistance encountered during the loader shoveling stage constitutes a major contributor to power dissipation. The physical properties of materials are different during shoveling operation, bringing challenges to reducing drag in loader shoveling. Based on the data analysis of the power flow characteristics of loader shoveling operation, a drag reduction shoveling strategy is proposed. Leveraging CAN bus-derived torque demand-actual differentials, this strategy automatically controls the bucket attitude with the change of the power system torque, reduced power loss in the shoveling stage. An intelligent drag reduction strategy, is formulated to address operational material diversity in loaders. The intelligent strategy can be adapted to the operating objects, achieving intelligent adjustment of the bucket shoveling operation amplitude with the change of the operating objects, the power consumption for shoveling sand has been reduced from 125 kW to 92.3 kW, while that for shoveling stone has been reduced to 100.8 kW.
Source: Ain Shams Engineering Journal
Authors: Bingwei Cao, Ruiqiang Guo, Dehao Zhao, Qinghua Li, Xinhui Liu
Institutions: Changchun University, Jilin University
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,200
OpenAlex ID: W4415959532