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基于MATLAB/Simulink的高压共轨柴油机仿真模型的研究与应用
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摘要
日益严格的排放法规以及安全与舒适性的更高要求使得ECU控制策略越来越复杂,开发难度也越来越大,传统的检测方法已不能满足复杂ECU功能的测试需求。为了缩短其开发周期、节省开发的成本,对在环仿真环境中的高压共轨柴油机实时动态模型进行了全面的研究。
     软件在环仿真系统具有实时性要求严格、系统衔接紧密的基本特点,在实时仿真系统中动态模型的设计至关重要,它决定着整套系统的可行性和可靠性。采用模块化方法,根据模块独立性原则和物理划分原则将整个仿真系统中虚拟化的考察对象进行了细分,并逐一建模。并使用仿真建模工具MATLAB/Simulink建立了高压共轨柴油机的零维模型,并对其进行了仿真测试,仿真结果和试验结果较吻合,具有重要的理论意义和实用价值。
     在所有模型模块中,发动机的燃烧模块作为影响发动机性能和影响仿真实时性的主要因素,是建模工作的重要部分。在对各方面因素进行综合比较后,选用Vibe燃烧模型。最后把仿真系统实时运行得出的结果和实际测试数据进行对比,证实了建立模型的合理性。
The Increasingly stringent regulations of emissions and the higher demands of safety and comfort make the ECU control strategies more complex, and then the development become more difficult. In order to shorten its development cycle, save the costs of development, the developing real-time dynamic model in high-pressure Common Rail Diesel Engine of loop simulation system has been studied.
     Software-in-the-loop simulation system has the basic characteristics of real-time, strictly demanding and the closely linked system. Design of dynamic model is essential in real-time simulation system, which determines the feasibility and reliability of the entire system. According to the principles of the independent module and the physical division, this paper subdivides the virtualization in the whole simulation system by adopting the modular approach, and then makes models one by one. Based on MATLAB/Simulink the zero-dimensional simulation of diesel engine model is founded, and its simulation results are consistent with the experimental results. This demonstrates the correctness of the simulation model and the effectiveness by using MATLAB/Simulink for modeling and simulating of the diesel engine. It has important theoretical significance and practical value.
     In all models, the engine combustion module becomes the main factors which affect the engine performance and the real-time simulation. It is the core part of modeling work. After comparing all the various factors, this paper selects Vibe combustion model, and adopts the Euler algorithm to improve the model calculations. Finally, through comparing the results from the real-time running in the simulation system with the actual test data, it proves the feasibility of the model designed in this paper.
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