网联电动车的实时能效优化

J. Rico, Daniel Calvo, Juan Sancho, Miguel Rodríguez, Martin Wagner, Andrea Rossi, M. Mateo
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引用次数: 0

摘要

如今,交通工具已经从一种交通工具发展成为一种更复杂、更强大的东西。电动汽车带来的范式变革需要新的工具和方法,不仅要改进汽车的运行方式,还要改进受其影响的所有元素。此外,电动汽车还与互联网相连,因此它们能够访问大量的信息库,并为应该利用的新机会做出贡献。物联网和大数据技术在电动汽车上的应用,使提供个性化节能建议的新方法得以发展。JOSPEL旨在利用所有这些可能性,通过提供不同的服务和改进车辆的物理元素来降低能耗,使其具体化。本文介绍了ICT架构,通过对车辆信息进行数字化和分析,实现这些目标,并暴露现有车辆资源,以在不同领域实现其他利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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