王晓艳,贾德民,魏代君,等.基于短脉宽工况的同心双轴针喷射器气体针阀最大升程波动预测模型[J].内燃机工程,2026,47(1):11-20.
基于短脉宽工况的同心双轴针喷射器气体针阀最大升程波动预测模型
Prediction Model for Gas Needle Valve Maximum Lift Fluctuation in Concentric Dual-Axis Injectors Under Short Pulse-Width Conditions
DOI：10.13949/j.cnki.nrjgc.2026.01.002
关键词:同心双轴针式喷射器  喷射特性  高压氢直喷  针阀最大升程  预测算法  氢内燃机
Key Words:concentric bi-axial needle injector  injection characteristic  high pressurehydrogen direct injection  maximum needle valve displacement  prediction algorithm  hydrogen internal combustion engine
基金项目:国家自然科学基金面上项目（52371307）；河北省教育厅高等学校科技计划（理工类）青年基金项目（QN2025062）；河北省自然科学基金青年科学基金项目（E2024203064）
作者单位E-mail
王晓艳* 哈尔滨工程大学 动力与能源工程学院，哈尔滨 150001 wang_xiaoyan@hrbeu.edu.cn 
贾德民 潍柴动力股份有限公司，潍坊 261000 1326232350@qq.com 
魏代君 哈尔滨工程大学 动力与能源工程学院，哈尔滨 150001  
杨晰宇 燕山大学 车辆与能源学院，秦皇岛 066004 yangxiyu@ysu.edu.cn 
董全* 哈尔滨工程大学 动力与能源工程学院，哈尔滨 150001 dong_quan@hrbeu.edu.cn 
摘要点击次数: 100
全文下载次数: 42
摘要:基于同心双轴针式喷射器的高压氢气直喷技术，建立了喷射特性多参数同场测量系统，研究了气体针阀最大升程的波动规律，通过系统中压力振荡的特征揭示了其波动机理，并提出了一种创新性的短脉宽气体针阀最大升程预测算法模型。在此基础上，通过构建包含四个子算法的模型，实现对针阀最大升程波动的预测。并基于液电模化的方法构建了波动周期预测子算法，利用数据实时拟合构建了欠阻尼耗散系数标定子算法，基于实时感知柴油声速设计了相位差子算法，最后利用二维拟合对振幅进行标定。结果表明，先导喷射引起的柴油管路内压力振荡是引起气体针阀最大升程波动的直接因素，其波动趋势与柴油支路压力振荡趋势相反，并均表现为欠阻尼余弦函数振荡趋势。该预测算法在常用短脉宽工况下都具有较高的预测精度。预测值与测量值的回归决定系数为0.942 6，均方根误差为0.003 mm。
Abstract:Based on the high-pressure hydrogen direct injection technology of the concentric bi-axial needle injector， a multi-parameter field measurement system for injection characteristics was established. The maximum gas needle valve displacement fluctuation rule was studied. The fluctuation mechanism was revealed by analyzing the pressure fluctuation characteristics in the system， and an innovative short pulse width gas needle valve maximum displacement prediction algorithm model was proposed. On this basis， a prediction model of gas needle valve maximum displacement fluctuation was constructed by comprising four sub-algorithms. The wave period prediction sub-algorithm was developed based on the hydraulic-electrical modeling method. The under-damped oscillation dissipation coefficient calibration sub-algorithm was constructed using real-time data fitting. The phase difference sub-algorithm was designed based on real-time sensing of diesel sound velocity， and the amplitude parameter sub-algorithm was constructed using two-dimensional fitting. The results indicate that the pressure oscillation in the diesel pipe caused by pilot injection is the direct factor causing the gas needle valve displacement fluctuation. The fluctuation trend is opposite to the diesel pressure oscillation trend， and they are both exhibiting an under-damped cosine function oscillation trend. This prediction algorithm has high prediction accuracy under common short pulse width conditions. The regression coefficient between the predicted value and the measured value is 0.942 6， and the root mean square error is 0.003 mm.
查看全文  HTML   查看/发表评论