J. Rico, Daniel Calvo, Juan Sancho, Miguel Rodríguez, Martin Wagner, Andrea Rossi, M. Mateo
{"title":"网联电动车的实时能效优化","authors":"J. Rico, Daniel Calvo, Juan Sancho, Miguel Rodríguez, Martin Wagner, Andrea Rossi, M. Mateo","doi":"10.1109/EVER.2017.7935950","DOIUrl":null,"url":null,"abstract":"Nowadays vehicles have evolved from a mean of transport to something much more complex and powerful. The paradigm change that electric vehicles have brought requires new tools and methodologies for improving not only the way vehicles behave, but also all the elements that are influenced by them. Moreover, electric vehicle are also connected to the Internet, thus they are able to access to a large repository of information and also to contribute to emerging opportunities that should be exploited. The application of Internet of Things and Big Data technologies in electric vehicles enables the development of new methodologies for offering personalised energy efficiency advices. JOSPEL aims at exploiting all these possibilities making them tangible through an energy consumption reduction reached by means of the provision of different services and improving the physical elements in the vehicle. This paper presents the ICT architecture that enables the achievement of those objectives by the digitalisation and analysis of vehicle information, and also to expose existing vehicle resources for achieving other benefits in different sectors.","PeriodicalId":395329,"journal":{"name":"2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real time energy efficiency optimization in connected electrical vehicles\",\"authors\":\"J. Rico, Daniel Calvo, Juan Sancho, Miguel Rodríguez, Martin Wagner, Andrea Rossi, M. Mateo\",\"doi\":\"10.1109/EVER.2017.7935950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays vehicles have evolved from a mean of transport to something much more complex and powerful. The paradigm change that electric vehicles have brought requires new tools and methodologies for improving not only the way vehicles behave, but also all the elements that are influenced by them. Moreover, electric vehicle are also connected to the Internet, thus they are able to access to a large repository of information and also to contribute to emerging opportunities that should be exploited. The application of Internet of Things and Big Data technologies in electric vehicles enables the development of new methodologies for offering personalised energy efficiency advices. JOSPEL aims at exploiting all these possibilities making them tangible through an energy consumption reduction reached by means of the provision of different services and improving the physical elements in the vehicle. This paper presents the ICT architecture that enables the achievement of those objectives by the digitalisation and analysis of vehicle information, and also to expose existing vehicle resources for achieving other benefits in different sectors.\",\"PeriodicalId\":395329,\"journal\":{\"name\":\"2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EVER.2017.7935950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EVER.2017.7935950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real time energy efficiency optimization in connected electrical vehicles
Nowadays vehicles have evolved from a mean of transport to something much more complex and powerful. The paradigm change that electric vehicles have brought requires new tools and methodologies for improving not only the way vehicles behave, but also all the elements that are influenced by them. Moreover, electric vehicle are also connected to the Internet, thus they are able to access to a large repository of information and also to contribute to emerging opportunities that should be exploited. The application of Internet of Things and Big Data technologies in electric vehicles enables the development of new methodologies for offering personalised energy efficiency advices. JOSPEL aims at exploiting all these possibilities making them tangible through an energy consumption reduction reached by means of the provision of different services and improving the physical elements in the vehicle. This paper presents the ICT architecture that enables the achievement of those objectives by the digitalisation and analysis of vehicle information, and also to expose existing vehicle resources for achieving other benefits in different sectors.