A new continuously variable transmission system parameters matching and optimization based on wheel loader. (August 2020)

• Record Type: Journal Article
• Authors: You, Yong; Sun, Dongye; Qin, Datong; Wu, Bangzhi; Feng, Jihao
• Is Part Of: Mechanism and machine theory. Volume 150(2020)
• Publication Date: 2020-08
• Subjects: Hydraulic mechanical power reflux transmission (HMPRT) -- Parameter matching -- Optimization -- System speed ratio -- System efficiency; Machine theory -- Periodicals; Machinery -- Periodicals; Machines -- Périodiques; Génie mécanique -- Périodiques; Machine theory; Machinery; Periodicals; 621.81
• DOI: 10.1016/j.mechmachtheory.2020.103876
• Languages: English
• ISSNs: 0094-114X

Abstract

Highlights: The design principles of maximum and minimum speed ratios for HMPRT system are presented. The improvement of HMPRT efficiency, speed regulation and power performance are mutually affected and restricted. The HMPRT performance evaluation indexes are proposed and its weighting coefficients are determined by AHP. A multi-objective optimization model is established to gain suitable transmission parameters. The HMPRT loader with optimized parameters improves the transmission efficiency by 2.06%. Abstract: On the basis of improving efficiency and automatic adaptability, a novel hydraulic mechanical power reflux transmission (HMPRT) is a considerable framing and suitable for a wheel loader. However, in the design of HMPRT parameter matching, the improvement of transmission efficiency, speed regulation, and power performance are mutually affected and restricted. To obtain good comprehensive transmission performance, a parameter matching design method for HMPRT is proposed. First, the basic transmission characteristics of the HMPRT system are analyzed, and the maximum and minimum system speed ratios are determined. Then, the influence rules of transmission parameters on the transmission performance of the HMPRT are analyzed. Based on the determined evaluation indexes, a multi-objective optimization model is established and its weight coefficients of the sub-objectives are determined by an analytic hierarchy process. The transmission parameters are optimized using a particle swarm optimization algorithm of simulated annealing. Finally, the structural parameters of the relevant parts are determined. The simulation results reveal that when compared with the prototype loader, the HMPRT loader with optimized matching parameters can effectively improve the system efficiency and reduce fuel consumption while ensuring the power performance.