{"title":"氢发电机组控制的线性二次积分法","authors":"L. Kere, S. Kelouwani, K. Agbossou, Y. Dubé","doi":"10.1109/VPPC.2014.7006999","DOIUrl":null,"url":null,"abstract":"This paper presents a Linear Quadratic with Integrator (LQI) controller for a hydrogen genset (internal-combustion combustion engine generator) which is used to extend electric vehicle range. Since the genset efficiency depends mostly on generator rotor speed and produced power, a maximum efficiency tracking method is required. The optimal operating conditions provided by the efficiency tracking module must be imposed to the genset. Thus, we proposed a LQI controller for dynamically driving genset operating conditions toward the optimal one. This controller is based on a state space model in which the genset parameters are identified offline using the Least-Square (RLS) algorithm. Preliminary evaluation using real genset data with this type of controller demonstrated the effectiveness of the proposed approach.","PeriodicalId":133160,"journal":{"name":"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Linear Quadratic Integrator Approach for a Hydrogen Genset Control\",\"authors\":\"L. Kere, S. Kelouwani, K. Agbossou, Y. Dubé\",\"doi\":\"10.1109/VPPC.2014.7006999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Linear Quadratic with Integrator (LQI) controller for a hydrogen genset (internal-combustion combustion engine generator) which is used to extend electric vehicle range. Since the genset efficiency depends mostly on generator rotor speed and produced power, a maximum efficiency tracking method is required. The optimal operating conditions provided by the efficiency tracking module must be imposed to the genset. Thus, we proposed a LQI controller for dynamically driving genset operating conditions toward the optimal one. This controller is based on a state space model in which the genset parameters are identified offline using the Least-Square (RLS) algorithm. Preliminary evaluation using real genset data with this type of controller demonstrated the effectiveness of the proposed approach.\",\"PeriodicalId\":133160,\"journal\":{\"name\":\"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC.2014.7006999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2014.7006999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Linear Quadratic Integrator Approach for a Hydrogen Genset Control
This paper presents a Linear Quadratic with Integrator (LQI) controller for a hydrogen genset (internal-combustion combustion engine generator) which is used to extend electric vehicle range. Since the genset efficiency depends mostly on generator rotor speed and produced power, a maximum efficiency tracking method is required. The optimal operating conditions provided by the efficiency tracking module must be imposed to the genset. Thus, we proposed a LQI controller for dynamically driving genset operating conditions toward the optimal one. This controller is based on a state space model in which the genset parameters are identified offline using the Least-Square (RLS) algorithm. Preliminary evaluation using real genset data with this type of controller demonstrated the effectiveness of the proposed approach.