Prediction Method of the Fuel Consumption of Wheel Loaders in the V-Type Loading Cycle

• Published in: Mathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 12
• Main Authors: Wang, Songlin, Liu, Chunbao, Zhang, Yubo, Ma, Wenxing
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015; John Wiley & Sons, Inc
• Subjects: Butterworth filters; Construction equipment; Design optimization; Dynamics; Economics; Efficiency; Energy consumption; Fuel consumption; Hydraulic equipment; Hydraulics; Load; Loaders; Loads (forces); Mathematical analysis; Mathematical models; Mathematical problems; Parameters; Powertrain; Simulation; Traffic speed; China
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2015/538176

Wheel loaders in the V-type loading cycle are characterized by complicated loading conditions, nonlinear power-train system, and time-variable engine power distribution. Therefore, it is difficult to predict the fuel consumption of wheel loaders in the V-type loading cycle. The static matching methods cannot provide fuel consumption prediction for the loading cycle. In this paper, the prediction method and model of the fuel consumption for wheel loaders in the V-type loading cycle were proposed. Firstly, the hydraulic system data were tested when a wheel loader loaded three different materials in a typical V-type loading cycle. Secondly, the tested data were filtered by the 8th-order Butterworth filter and the dimensionless power deduction equations of hydraulic power system for loading three different materials were obtained by Gaussian and linear fitting based on the filtered data in the loading cycle. Finally, fuel consumption was obtained with the compiling dynamic calculation program as well as input parameters of tested vehicle speed, throttle parameter, and the dimensionless equation. The simulation results agreed well with experiment results. Dynamic calculation program is applicable to calculate loading economy and can provide academic guidance for wheel loader’s design and optimization.