{"title":"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","authors":"Pawan Kumar Singotia, Samir Saraswati","doi":"10.1115/1.4062927","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":15676,"journal":{"name":"Journal of Energy Resources Technology-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cyclic variability analysis of an engine fuelled with gasoline/natural gas using return maps and symbol sequences\",\"authors\":\"Pawan Kumar Singotia, Samir Saraswati\",\"doi\":\"10.1115/1.4062927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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.\",\"PeriodicalId\":15676,\"journal\":{\"name\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062927\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy Resources Technology-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062927","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Cyclic variability analysis of an engine fuelled with gasoline/natural gas using return maps and symbol sequences
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.
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