{"title":"基于黑盒模型的传动系统振动主动阻尼","authors":"M. Corno, Stefano Dattilo, S. Savaresi","doi":"10.23919/ecc54610.2021.9654897","DOIUrl":null,"url":null,"abstract":"This paper presents a driveline active damping strategy for electric vehicles. We first propose a black-box identification of the main oscillation modes of a transmission of a 4 Wheel Driven electric vehicle. We identify the models in a variety of conditions. We then design the active damping control using ${\\mathcal{H}_\\infty }$ considerations on the identified models. Extensive experimental validation shows that the active damping reduces of 24% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.","PeriodicalId":105499,"journal":{"name":"2021 European Control Conference (ECC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Black-Box Model-Based Active Damping of Driveline Oscillations\",\"authors\":\"M. Corno, Stefano Dattilo, S. Savaresi\",\"doi\":\"10.23919/ecc54610.2021.9654897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a driveline active damping strategy for electric vehicles. We first propose a black-box identification of the main oscillation modes of a transmission of a 4 Wheel Driven electric vehicle. We identify the models in a variety of conditions. We then design the active damping control using ${\\\\mathcal{H}_\\\\infty }$ considerations on the identified models. Extensive experimental validation shows that the active damping reduces of 24% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.\",\"PeriodicalId\":105499,\"journal\":{\"name\":\"2021 European Control Conference (ECC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ecc54610.2021.9654897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ecc54610.2021.9654897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
提出了一种电动汽车传动系统主动阻尼策略。我们首先提出了一种4轮驱动电动汽车变速器主要振动模式的黑盒识别方法。我们在各种条件下识别模型。然后,我们在识别的模型上使用${\mathcal{H}_\infty }$考虑因素设计主动阻尼控制。大量的实验验证表明,主动阻尼降低了24%% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.
Black-Box Model-Based Active Damping of Driveline Oscillations
This paper presents a driveline active damping strategy for electric vehicles. We first propose a black-box identification of the main oscillation modes of a transmission of a 4 Wheel Driven electric vehicle. We identify the models in a variety of conditions. We then design the active damping control using ${\mathcal{H}_\infty }$ considerations on the identified models. Extensive experimental validation shows that the active damping reduces of 24% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.