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混凝土泵车发动机万有特性模型与工况优化研究 被引量:3

Optimization on generalized engine models and working conditions for concrete pump trucks
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摘要 将底盘传动系纳入发动机动力系统,提出了混凝土泵车发动机万有特性模型的现场测试方法.该方法无须将发动机从底盘上拆除进行台架测试试验,利用混凝土泵车液压系统对发动机进行现场加载,通过对液压参数的测试获得发动机输出扭矩,避免了对发动机转矩的直接测试.运用曲面插值法实现了发动机万有特性曲线的绘制,并以此为依据对该型号混凝土泵车工况进行优化,获得4种工况下与液压系统最佳匹配的发动机转速.试验验证:利用曲面插值法建立的某型号混凝土泵车发动机万有特性模型最大相对误差不超过5%,建模方法简单、精度高,以该模型为依据优化后的发动机工况节油效果明显,最大节油率为16.67%. By integrating chassis transmission system with dynamic engine system, an on-site testing method is proposed for engines of concrete pump trucks in terms of generalized model. In particular, this method is dependent on o-site loading using truck hydraulic system without removing the engine from chassis. In this way,output engine torques are acquired based on hydraulic parameters rather than engine moments. With regard to camber interpolation, the generalized engine curves are obtained to optimize relevant working conditions. Subsequently, the optimal matching between four work conditions and hydraulic system is attained. Consequently, the testing verification implies that the maximal error of generalized model is below 5 % based on camber interpolation. Therefore, this model is a simple yet accurate approach, which produces such an oil-saving rate as 16.67 % under optimized working conditions.
出处 《中国工程机械学报》 2009年第1期46-51,共6页 Chinese Journal of Construction Machinery
基金 国家自然科学基金资助项目(50875028)
关键词 混凝土泵车 万有特性模型 神经网络 工况优化 concrete pump truck generalized model neural networks, working condition optimization
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