Cyclic variability analysis of an engine fuelled with gasoline/natural gas using return maps and symbol sequences

IF 2.6 3区 工程技术 Q3 ENERGY & FUELS
Pawan Kumar Singotia, Samir Saraswati
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引用次数: 0

Abstract

The present work investigates the cyclic variability of a single cylinder spark ignition (SI) engine fuelled with gasoline/natural gas. Return maps and symbol sequence analysis are used to analyze the cycle dynamics at different engine loads and mixture strength. Cycle dynamics is found to be stochastic in nature at high engine loads with low cyclic variability. The frequency of deterministic patterns with close coupling between consecutive cycles is found to be high at low loads with high cyclic variability. In comparison to gasoline, the deterministic effects are found to be more predominant for natural gas fuelled engine. Designing a predictive controller that makes use of the knowledge of the current event to forecast the status of forthcoming occurrences is possible because to the deterministic information available in cycle dynamics. Under the assumption that the controller is active and has successfully brought the engine within stable limits, the predictable patterns are identified and omitted from the dataset. Engine performance is analyzed both with and without the deterministic pattern. The research provides an estimate of how much better engine performance could be achieved with the knowledge of determinism in the system and the subsequent application of this knowledge for efficient engine control.
使用返回图和符号序列对燃用汽油/天然气的发动机进行循环变异性分析
本文研究了以汽油/天然气为燃料的单缸火花点火发动机的循环变异性。利用返回图和符号序列分析法分析了不同发动机载荷和混合动力强度下的循环动力学。在低循环变异性的高发动机负荷下,循环动力学是随机的。在具有高周期变异性的低负荷条件下,连续周期之间紧密耦合的确定性模式的频率较高。与汽油发动机相比,天然气发动机的确定性效应更为明显。利用循环动力学中的确定性信息,设计一种利用当前事件的知识来预测即将发生事件的状态的预测控制器是可能的。在假设控制器是活动的并且已经成功地将引擎控制在稳定范围内的情况下,可预测的模式被识别并从数据集中省略。在使用和不使用确定性模式的情况下,对发动机性能进行了分析。该研究提供了一个估计,如何更好的发动机性能可以实现与确定性的知识,在系统和后续应用的知识,有效的发动机控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
30.00%
发文量
213
审稿时长
4.5 months
期刊介绍: Specific areas of importance including, but not limited to: Fundamentals of thermodynamics such as energy, entropy and exergy, laws of thermodynamics; Thermoeconomics; Alternative and renewable energy sources; Internal combustion engines; (Geo) thermal energy storage and conversion systems; Fundamental combustion of fuels; Energy resource recovery from biomass and solid wastes; Carbon capture; Land and offshore wells drilling; Production and reservoir engineering;, Economics of energy resource exploitation
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