A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts
{"title":"Concept of the Test Bench for Electrical Vehicle Propulsion Drive Data Acquisition","authors":"A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts","doi":"10.1109/ICEPDS47235.2020.9249078","DOIUrl":null,"url":null,"abstract":"The goal of the proposed concept is to develop a specialized unsupervised prognosis and control platform for electrical vehicle propulsion drive performance estimation. This goal requires the development of several subtasks and related objectives, therefore the state-of-the-art analysis of the current development in electric vehicle propulsion drives is presented in the paper. Digital Twin as modern technology trend covers a wide range of services, such as efficiency improving, minimizing failure rates, shorten development cycles, and provides new opportunities for remote control and maintenance of the device. In this paper, the general description of requirements for creating a Digital Twin is discussed. The construction of electric vehicle propulsion drive, as physical devices models of Digital Twin, can be carried out using the well-established modeling techniques, the possible solutions are also presented. Different physical models of separate parts of electric vehicle components (power controller, motor(s), gearbox(es), etc.), and the related reduced models of these components (test benches) are proposed.","PeriodicalId":115427,"journal":{"name":"2020 XI International Conference on Electrical Power Drive Systems (ICEPDS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XI International Conference on Electrical Power Drive Systems (ICEPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPDS47235.2020.9249078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The goal of the proposed concept is to develop a specialized unsupervised prognosis and control platform for electrical vehicle propulsion drive performance estimation. This goal requires the development of several subtasks and related objectives, therefore the state-of-the-art analysis of the current development in electric vehicle propulsion drives is presented in the paper. Digital Twin as modern technology trend covers a wide range of services, such as efficiency improving, minimizing failure rates, shorten development cycles, and provides new opportunities for remote control and maintenance of the device. In this paper, the general description of requirements for creating a Digital Twin is discussed. The construction of electric vehicle propulsion drive, as physical devices models of Digital Twin, can be carried out using the well-established modeling techniques, the possible solutions are also presented. Different physical models of separate parts of electric vehicle components (power controller, motor(s), gearbox(es), etc.), and the related reduced models of these components (test benches) are proposed.