Hydrostatic Powertrain agricultural vehicles of Optimal Matching

Vehicle power, fuel economy is good or bad depends largely on the engine performance and transmission type and parameter selection, which depends on the degree of reasonable matching drivetrain. HST for agricultural vehicles and equipment, the effective control of the engine working conditions, reasonable matching parameters of hydrostatic system can reduce energy consumption and improve efficiency. In this paper, a "20 to 30 horsepower," agricultural vehicle design project, the engine - hydrostatic system work together to optimize the performance of matching analysis.Mainly on the following issues were studied and achieved some results: 1. The first innovative use of support vector machine theory model engine. Based on support vector machine theory generalization ability, training sample size, etc., than is commonly used in curve and surface fitting regression methods such as a higher prediction accuracy, generalization and adaptable model. 2. SVM and chaos optimization algorithm based on the detection of low fuel consumption. SVM training was on the nest after the mathematical model as the optimization function, and optimization of chaos optimization algorithm used to obtain the best economic engine target curve. 3. Of a common engine and hydrostatic system performance. In establishing the best economic model engine and static performance model of the hydraulic system, based on the proposed performance evaluation work together to determine the engine - hydrostatic system to work together for optimal parameter selection method and a case study. 4. For agricultural vehicles in constant, constant power, constant torque of three different operating conditions, the engine - hydrostatic system - the transmission system load modeling analysis to the engine work in the best economic zone and static work in the area of hydraulic efficiency as the goal, get the system working together optimal matching parameters. 

 

Key words: support vector machine; chaos optimization algorithm; hydrostatic transmission; optimization; match