{"title":"A ranking method for the selection of ship energy storage systems based on batteries","authors":"Germano Degan, V. Bucci, A. Marinò","doi":"10.1109/speedam53979.2022.9842130","DOIUrl":null,"url":null,"abstract":"In the framework of electric propulsion of waterborne vessels, the selection of the best-preferred energy storage system based on batteries, in terms of gravimetric/volumetric energy density and modularity can lead to a cost-saving and reliable design. In this context, an overlook of some commercial Li-based batteries for water transportation is presented. Furthermore, a ranking process based on a Multi-Attribute Decision Making (MADM) method is applied to support the selection of the best alternative, considering a set of technical attributes along with their weights of importance.","PeriodicalId":365235,"journal":{"name":"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/speedam53979.2022.9842130","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
In the framework of electric propulsion of waterborne vessels, the selection of the best-preferred energy storage system based on batteries, in terms of gravimetric/volumetric energy density and modularity can lead to a cost-saving and reliable design. In this context, an overlook of some commercial Li-based batteries for water transportation is presented. Furthermore, a ranking process based on a Multi-Attribute Decision Making (MADM) method is applied to support the selection of the best alternative, considering a set of technical attributes along with their weights of importance.