摘要
在能源和环境的双重压力下,实现高压共轨系统循环喷油量的精确控制至关重要,但是目前仍缺少实现方法和相应的预测模型。本文提出了一种基于轨压降的循环喷油量预测模型建立方法,揭示了瞬时轨压的特征参数与喷油量之间的关系,应用高压共轨系统AMESim仿真模型,进行了不同喷射脉宽下的预测模型参数辨识和验证,并采用分段预测模型的方法进一步提高了模型精度。在8个喷油脉宽下的模型预测准确度在80%以上,优化后,预测模型的均方根误差由6.75 mg降低到3.63 mg;平均准确度由91.35%提高到96.33%。该预测模型对高效、精确灵活的燃油喷射控制具有重要的应用价值。
Under the dual pressure of energy and environment,it is very important to realize the accurate control of fuel-injection quantity in a high-pressure common rail system,which currently lacks a realization method and a prediction model.In this study,a method of establishing a cyclic fuel-injection quantity prediction model based on rail pressure drop is proposed.The relationship between the characteristic parameters of instantaneous rail pressure and fuel-injection quantity is revealed.The AMESim simulation model of a high-pressure common rail system is used to identify and verify the parameters of the prediction model under different injection-pulse widths.The segmented prediction model method is used to further improve the accuracy of the model.After optimization,the root-mean-squared error of the prediction model is reduced from 6.75 to 3.63 mg,and average accuracy is increased from 91.35%to 96.33%.The prediction model has an important application value for high-efficiency,accurate,and flexible fuel-injection control.
作者
费红姿
屈超
魏云鹏
李瑞良
FEI Hongzi;QU Chao;WEI Yunpeng;LI Ruiliang(College of Power and Energy Engineering,Harbin Engineering University, Harbin 150001, China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2020年第11期1651-1656,共6页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(51879059).
关键词
高压共轨
循环喷油量
预测模型
轨压降
瞬时轨压
参数辨识
分段预测
AMESIM
high-pressure common rail
cyclic fuel-injection quantity
prediction model
rail pressure drop
instantaneous rail pressure
parameter identification
segment prediction
AMESim
