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基于液力变矩器效率优化的车辆自动换挡策略研究 被引量:4

Research on Vehicle Automatic Shift Strategy Based on Optimization of Hydraulic Torque Converter Efficiency
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摘要 恶劣行驶环境下的特种车辆对动力性、传动效率要求较高,为此,根据TR50特种车辆的实车数据制定最佳动力性换挡规律。通过分析液力变矩器的工作特性,建立了计算液力变矩器实时传动效率的数学模型。以换挡前后液力变矩器传动效率的变化最小为优化目标,利用贪心算法对最佳动力性换挡规律进行优化。分别将优化后和优化前的换挡规律在Matlab/Simulink仿真系统模型中进行仿真分析,得出两种换挡规律下液力变矩器的效率变化情况。结果表明:优化后的液力变矩器传动效率与优化前相比提升较多,其中大于0. 5的效率提升20. 5%,大于0. 6的效率提升16. 6%,各挡位的高效率工作区比例得到明显提升。 Special vehicles in harsh driving conditions require high power and transmission efficiency.According to the data of the TR50 special vehicle,this paper has developed the best dynamic shifting rules. A mathematical model for calculating the real-time transmission efficiency of the torque converter is established by analyzing the working characteristics of the torque converter. The minimum change in the transmission efficiency of the torque converter before and after shifting is the optimization goal,and the greedy algorithm is used to optimize the optimal dynamic shift schedule.Simulate and analyze the shifting rules after optimization and before optimization on the Matlab/Simulink simulation system model,and obtain the efficiency change of the torque converter under two shifting rules. The results show,the optimized transmission efficiency of the torque converter is much higher than that before optimization. The efficiency greater than 0. 5 is increased by 20. 5%,and greater than 0. 6 is increased by 16. 6%,and the high-efficiency work area of each gear has been significantly improved.
作者 张金石 王立勇 李乐 ZHANG Jinshi;WANG Liyong;LI Le(Key Laboratory of Modern Measurement and Control Technology Ministry of Education,Mechanical and Electrical Engineering,Beijing Information Science and Technology University,Beijing 100192,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2020年第7期42-49,共8页 Journal of Chongqing University of Technology:Natural Science
基金 国家自然科学青年基金项目(51605035) 国家国防科技工业局基础科研项目(JCCPCX201705) 北京信息科技大学“勤信人才”培育计划资助项目(QXTCPA201903,QXTCPB201901) 装备预先研究项目(41402050202)。
关键词 贪心算法 最佳动力性换挡规律 液力变矩器效率 策略优化 greedy algorithm optimal dynamic shifting law torque converter efficiency strategy optimization
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