内燃机工程2017，Vol.38Issue(1)：63-69,7.DOI:10.13949/j.cnki.nrjgc.2017.01.011
共轨柴油机基于瞬时轨压波形特征参数的喷油量观测方法
Observation of Fuel Injection Quantity Based on Characteristic Parameters of Instantaneous Rail Pressure Waveforms for Common Rail Diesel Engines
摘要
Abstract
To precisely reveal the relation between fuel injection quantity and characteristic parameters defined from the fluctuation law of instantaneous rail pressure of high pressure common rail fuel injection system of diesel engines, a fuel injection quantity observation (IQO) method was proposed based on the characteristic parameters of instantaneous rail pressure waveforms.With this method, the instantaneous rail pressure waveforms were divided into a series of typical segments.Four characteristic points and four characteristic segments were defined to describe the instantaneous rail pressure fluctuation characteristics of each cylinder.And ten characteristic parameters were defined to evaluate the instantaneous rail pressure fluctuation characteristics in the fuel injection process of each cylinder.A database of the characteristics of rail pressure waveform groups was set up and the fluctuation law of the instantaneous rail pressure under different operating conditions was revealed by mean processing of the characteristic parameters of the instantaneous rail pressure fluctuation at every steady experimental operating point.An IQO model was established by the fuel continuity equations, and calibrated by the parameter identification and offline validation with the characteristics database of rail pressure waveform groups.The results show that the IQO model has simple structure and high observation accuracy and it lays a good foundation for further engineering application in electronic control unit (ECU).关键词
内燃机/柴油机/高压共轨/轨压/特征参数/喷油量观测Key words
IC engine/diesel engine/high pressure common rail/rail pressure/characteristic parameter/fuel injection quantity observation分类
能源科技引用本文复制引用
凌健,谢辉..共轨柴油机基于瞬时轨压波形特征参数的喷油量观测方法[J].内燃机工程,2017,38(1):63-69,7.基金项目
国家"八六三"高技术研究发展计划项目(2012AA111706) （2012AA111706）
国家自然科学基金项目(51307119) （51307119）
