汽车发动机高压共轨系统轨压特性分析与优化
Analysis and optimization of rail pressure characteristics in high-pressure common rail systems of automotive engines
周传彪 1韩振华 2张勇3
作者信息
- 1. 达州职业技术学院智能制造学院,达州 635000
- 2. 新疆师范大学物理与电子工程学院,乌鲁木齐 830054
- 3. 郑州大学机械与动力工程学院,郑州 450001
- 折叠
摘要
基于关键零/部件参数,建立了汽车发动机高压共轨喷射系统的数学模型,使用AMESim软件进行仿真模拟,并通过试验分析验证了该仿真模型的准确性.通过对系统轨压波动和压力特性进行仿真分析,得出共轨管长度、内径和高压油管内径是影响系统轨压特性的重要参数.针对原始共轨管和高压油管模型,利用响应曲面法对共轨管和高压油管参数进行优化分析,并得出以平均轨压设定值为目标的共轨管和高压油管的最佳结构参数.经过优化后,汽车发动机高压共轨喷射系统的平均轨压提高了 0.65％,整体轨压波动平均值降低了 79.48％,单次喷射过程中轨压波动平均值降低了 27.89％,平均喷油压力提高了 0.63％,其喷油特性得到明显的改善.
Abstract
The mathematical model of the high-pressure common rail injection system of automotive engines was established based on the key component parameters,and the simulation using AMESim software was conducted.The accuracy of the simulation mod-el was verified through experimental analysis.Through the simulation analysis of the system's rail pressure fluctuations and pres-sure characteristics,it was found that the length and inner diameter of the common rail pipe,and the inner diameter of the high-pressure oil pipes are the important parameters that affect the system's rail pressure characteristics.For the original common rail pipe and high-pressure oil pipe models,the response surface method was used to optimize and analyze the parameters of the com-mon rail pipe and high-pressure oil pipes,and obtain the optimal size parameters of the common rail pipe and high-pressure oil pipes with the average rail pressure setting value as the target.After optimization,the average rail pressure of automotive engines'high-pressure common rail injection system improved by 0.65％,the overall average rail pressure fluctuation decreased by 79.48％,the average rail pressure fluctuation during a single injection process decreased by 27.89％,and the average fuel in-jection pressure increased by 0.63％.Its fuel injection characteristics have been significantly improved.
关键词
发动机/高压共轨/AMESim软件/平均轨压/优化研究Key words
engines/high-pressure common rail/AMESim software/average rail pressure/optimization research引用本文复制引用
基金项目
国家自然科学基金项目(52005451)
达州市科技计划项目(22YKX0020)
达州市科技计划项目(21DYF0015)
出版年
2024
国家科技期刊平台
NSTL
万方数据