用扰动观测器确定火花点火发动机空燃比误差源

Q3 Engineering
Qilun Zhu, R. Prucka, Zhe Wang
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引用次数: 0

摘要

火花点火(SI)发动机运行过程中的空气燃料比(AFR)误差会导致扭矩跟踪性能下降、燃油消耗增加和催化剂效率降低。AFR中的误差通常使用废气氧传感器来检测,并且可能由多种来源引起。这种传感方法使其难以区分一个误差源从另一个。对于发动机控制,通常的做法是假设误差源在一个或两个区域,而不管实际的误差源是什么。识别合适的AFR误差源是本研究的重点。扰动观测器用于同时区分与空气负荷估计、燃油喷射量和废气再循环(EGR)相关的误差。该方法利用多个发动机气路传感器与系统模型相结合来识别误差源。实验结果表明,该方法能较好地识别误差源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air-to-fuel ratio error source determination for a spark-ignition engine using a disturbance observer
: Air-to-fuel ratio (AFR) errors during spark-ignition (SI) engine operation lead to degraded torque tracking performance, increased fuel consumption, and decreased catalyst efficiency. Errors in AFR are commonly sensed using an exhaust gas oxygen sensor and can be caused by a variety of sources. This sensing methodology makes it difficult to distinguish one error source from another. For engine control, it is common practice to assume the error source is in one or two areas regardless of the actual source(s) of error. Identifying the proper AFR error sources is the focus of this research. A disturbance observer is utilised to distinguish errors related to air charge estimation, fuel injection quantity, and exhaust gas recirculation (EGR) simultaneously. This methodology utilises several engine gas-path sensors in combination with a system model to identify error sources. The proposed method is implemented experimentally and demonstrates the ability to properly identify error sources.
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来源期刊
International Journal of Powertrains
International Journal of Powertrains Engineering-Automotive Engineering
CiteScore
1.20
自引率
0.00%
发文量
25
期刊介绍: IJPT addresses novel scientific/technological results contributing to advancing powertrain technology, from components/subsystems to system integration/controls. Focus is primarily but not exclusively on ground vehicle applications. IJPT''s perspective is largely inspired by the fact that many innovations in powertrain advancement are only possible due to synergies between mechanical design, mechanisms, mechatronics, controls, networking system integration, etc. The science behind these is characterised by physical phenomena across the range of physics (multiphysics) and scale of motion (multiscale) governing the behaviour of components/subsystems.
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