Zhuo Yang, Shaojia Huang, Gongrui Sun, Zhenyu Deng
{"title":"Automotive engine modelling based on online time-sequence incremental and decremental least-squares support vector machines","authors":"Zhuo Yang, Shaojia Huang, Gongrui Sun, Zhenyu Deng","doi":"10.1109/WARTIA.2014.6976328","DOIUrl":null,"url":null,"abstract":"Air-ratio relates closely to engine emissions, power and fuel consumption among all of the engine parameters. The thesis proposed an online time-sequence incremental and decremental least-squares support vector machines (OLSSVM) for engine modelling to predict the air-ratio. Experimental results show that the proposed OLSSVM can effectively predict the air-ratio to the target values under varies operating conditions and is superior to the air-ratio models available in the recent literatures. Therefore, the proposed OLSSVM is a promising scheme for automotive engine modelling.","PeriodicalId":288854,"journal":{"name":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARTIA.2014.6976328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Air-ratio relates closely to engine emissions, power and fuel consumption among all of the engine parameters. The thesis proposed an online time-sequence incremental and decremental least-squares support vector machines (OLSSVM) for engine modelling to predict the air-ratio. Experimental results show that the proposed OLSSVM can effectively predict the air-ratio to the target values under varies operating conditions and is superior to the air-ratio models available in the recent literatures. Therefore, the proposed OLSSVM is a promising scheme for automotive engine modelling.
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