{"title":"燃料电池EIS试验中DEKF参数辨识能力的数值研究","authors":"G. Petrone, G. Spagnuolo, W. Zamboni","doi":"10.1109/IESES.2018.8349849","DOIUrl":null,"url":null,"abstract":"In this paper, a numerical study of the identification capabilities of a time-domain parameter estimator for polymeric electrolyte membrane fuel cells (FCs) under electrochemical impedance spectroscopy (EIS) test is proposed. The estimator is a discrete-time Dual Extended Kalman Filter (DEKF). The FC is stimulated with sinusoidal input, typical of EIS tests, and the DEKF identifies the parameters of a linear first-order RC model representing the FC. The impact of the time-domain discretization and of the input signal frequency on the estimation performances are discussed. The results allow to design an effective sequential estimation approach.","PeriodicalId":146951,"journal":{"name":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Numerical study of the DEKF parameter identification capabilities in fuel cell EIS tests\",\"authors\":\"G. Petrone, G. Spagnuolo, W. Zamboni\",\"doi\":\"10.1109/IESES.2018.8349849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a numerical study of the identification capabilities of a time-domain parameter estimator for polymeric electrolyte membrane fuel cells (FCs) under electrochemical impedance spectroscopy (EIS) test is proposed. The estimator is a discrete-time Dual Extended Kalman Filter (DEKF). The FC is stimulated with sinusoidal input, typical of EIS tests, and the DEKF identifies the parameters of a linear first-order RC model representing the FC. The impact of the time-domain discretization and of the input signal frequency on the estimation performances are discussed. The results allow to design an effective sequential estimation approach.\",\"PeriodicalId\":146951,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESES.2018.8349849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESES.2018.8349849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Numerical study of the DEKF parameter identification capabilities in fuel cell EIS tests
In this paper, a numerical study of the identification capabilities of a time-domain parameter estimator for polymeric electrolyte membrane fuel cells (FCs) under electrochemical impedance spectroscopy (EIS) test is proposed. The estimator is a discrete-time Dual Extended Kalman Filter (DEKF). The FC is stimulated with sinusoidal input, typical of EIS tests, and the DEKF identifies the parameters of a linear first-order RC model representing the FC. The impact of the time-domain discretization and of the input signal frequency on the estimation performances are discussed. The results allow to design an effective sequential estimation approach.
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