Matching Study of Hydraulic Torque Converter and Engine Based on Genetic Algorithm

Abstract:

According to the multiple matching principles of hydraulic torque converter and engine, a multi-objective optimization mathematical model is established. Genetic Algorithm is used to optimize the matching mathematical model, because the search process is not easy to fall into local optimum. The matching example of YJSW315 type hydraulic torque converter and WD615.67G3-28 type engine is optimized. The design variables’ optimization results are obtained and the figure of optimization results is shown. The matching evaluation indicators of automobile power performance and economy are compared before and after optimization. We can find out that maximum output of hydraulic torque converter torque, highly effective rotational speed range, highly effective torque range, average power output of full working condition range and efficient working condition range are all increased, at the same time, average fuel consumption rate of full working condition range and efficient working condition range are decreased. In accordance with the optimization results, we can see that GA can be used to optimize the matching of engine and hydraulic torque converter.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1153-1156
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1153
• Online since: August 2014
• Authors: Tie Wang*, Fei Fei Liu, Jing Wu
• Keywords: Engine, GA, Hydraulic Torque Converter, Multi-Objective Function Optimization

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