课题基金 / 基金详情

Optimization of the Injection Behavior in Common Rail Systems under the Influence of Aging of the Injector

Optimization of the Injection Behavior in Common Rail Systems under the Influence of Aging of the Injector
喷油器老化影响下共轨系统喷油行为的优化
批准号:
252168426
负责人:
Professor Dr. Daniel J. Rixen
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2014
资助国家:
德国
项目状态:
已结题
起止时间:
2013-12-31 至 2018-12-31

项目摘要

项目成果

Professor Dr. Daniel J. Rixen的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Modern diesel engine vehicles are commonly equipped with the common rail (CR) injection technology. Higher injection pressures, faster response times and flexible adaptation of the injection contribute to meeting the requirements of current emission standards. In addition to determining pollutant emissions during diesel vehicle registration, the emission behavior over lifetime is becoming increasingly important and therefore needs to be considered in engine development. With regard to the injectors in diesel engines, aging phenomena like coking, wear and cavitation result in a different injection behavior. Since these changes might deteriorate pollutant emissions, the long-term consequences of aging are subject of state-of-the-art research. Controlling the combustion process and the resulting pollutant emissions is achieved by suitable adjustment of the CR injection system. Model-based optimization during engine operation is a promising approach to improve injection behavior.The objective of this project is to develop identification and adaptation methods to compensate for aging phenomena in the injector nozzle. These methods are used in an adaptive control scheme in order to comply with emission legislations over engine lifetime. In order to detect the effects of aging phenomena on the injection process, additional signals such as injection pressure and control piston lift are measured and then used to validate a high-fidelity simulation model of the injector. The injection rate of the altered injector is estimated with the injector model and then used to compensate aging effects and nozzle wear.In the application period so far, the improvement of emission behavior was achieved by optimizing the injection rate with an adaptive controller. The previous results reveal the following points that will be topic of the requested project extension of one year:1) Analysis of the effects of aging phenomena on the overall engine behavior ;2) Adjustment of the identification and adaption methods ;3) Feasibility study on an extended, model-based controller to optimize engine parameters using multiple injection strategies.The adaptive control researched in this project is applied to a solenoid valve injector and tested on a single-cylinder research engine. The methods are easily applicable to injection systems with different injector types and engines and improvement of long-term injection behavior can be expected.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
A Neural Network Observer for Injection Rate Estimation in Common Rail Injectors with Nozzle Wear
用于估计喷嘴磨损共轨喷油器喷油率的神经网络观测器
DOI: 10.1007/978-3-319-91217-2_19
发表时间: 2018
期刊: Lecture Notes in Mechanical Engineering
影响因子: --
作者: [Hofmann, Kiener]
通讯作者: Kiener
DOI: 10.4271/2018-01-1160
发表时间: 2018-01-01
期刊: SAE INTERNATIONAL JOURNAL OF ENGINES
影响因子: 1.2
作者: [Hofmann, Oliver, Schuckert, Sebastian, Rixen, Daniel J.]
通讯作者: Rixen, Daniel J.
Identification of Aging Effects in Common Rail Diesel Injectors Using Geometric Classifiers and Neural Networks
使用几何分类器和神经网络识别共轨柴油喷射器的老化效应
DOI: 10.4271/2016-01-0813
发表时间: 2016
期刊:
影响因子: --
作者: [Hofmann, Strauß, Schuckert, Wachtmeister]
通讯作者: Wachtmeister
Aging tolerant control of direct injection engines
直喷发动机的耐老化控制
DOI: 10.1016/j.conengprac.2018.06.002
发表时间: 2018
期刊: Control Engineering Practice
影响因子: 4.9
作者: [Hofmann]
通讯作者: Hofmann
8
    Robust Control and Fidelity Assessment of Real-Time Hybrid Substructuring of Contact Problems
    • 批准号:
      450801414
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2020
    • 负责人:
      Professor Dr. Daniel J. Rixen
    • 依托单位:
    Adaptive Walking through Multi-Contact Stabilization and Usage of Partial Contacts for Humanoid Robots
    • 批准号:
      407378162
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2018
    • 负责人:
      Professor Dr. Daniel J. Rixen
    • 依托单位:
    HPMultiscale: High Performance Simulation of Space-Time Multiscale Nonlinear Problems
    • 批准号:
      357361040
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2017
    • 负责人:
      Professor Dr. Daniel J. Rixen
    • 依托单位:
    Flexible and Robust Walking in Uneven Terrain
    • 批准号:
      223056368
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2012
    • 负责人:
      Professor Dr. Daniel J. Rixen
    • 依托单位:
    海外基金