The Internet of Energy (IoE) for Electric Mobility is an European research project that aims at deploying a communication infrastructure to facilitate and support the operations of Electric Vehicles (EVs). In this paper, we present three research contributions of IoE. First, we describe a software architecture to support the deployment of mobile and smart services over an Electric Mobility (EM) scenario. The proposed architecture relies on an ontology-based data representation, on a shared repository of information (Service Information Broker), and on software modules (called Knowledge Processors -KPs) for standardized data access/management. As a result, information sharing among the different stakeholders of the EM scenario (i.e. EVs, EVSEs, City Services, etc) is enabled, and the interoperability of smart services offered by heterogeneous providers is guaranteed by the common ontology. Second, we rely on the proposed architecture to develop a remote charging reservation system, that runs on top of mobile smarthphones, and allows drivers to monitor the current state-of-charge of their EV, and to reserve a charging slot at a specific EVSE. Finally, we validate our architecture through a benchmark framework, that supports the embedding of mobile EV applications and of real KPs into a simulated vehicular scenario, including realistic traffic, wireless communication and battery models. Evaluation results confirm the scalability of our architecture, and the ability to support EVs charging operations on a large-scale scenario (i.e. the downtown of Bologna).

L. Bedogni, L.Bononi, M. Di Felice, A. D'Elia, R. Mock, F. Montori, et al. (2013). An Interoperable Architecture for Mobile Smart Services over the Internet of Energy. Piscataway NJ : IEEE Press [10.1109/WoWMoM.2013.6583495].

An Interoperable Architecture for Mobile Smart Services over the Internet of Energy

BEDOGNI, LUCA;BONONI, LUCIANO;DI FELICE, MARCO;D'ELIA, ALFREDO;MONTORI, FEDERICO;MORANDI, FRANCESCO;ROFFIA, LUCA;SALMON CINOTTI, TULLIO;VERGARI, FABIO
2013

Abstract

The Internet of Energy (IoE) for Electric Mobility is an European research project that aims at deploying a communication infrastructure to facilitate and support the operations of Electric Vehicles (EVs). In this paper, we present three research contributions of IoE. First, we describe a software architecture to support the deployment of mobile and smart services over an Electric Mobility (EM) scenario. The proposed architecture relies on an ontology-based data representation, on a shared repository of information (Service Information Broker), and on software modules (called Knowledge Processors -KPs) for standardized data access/management. As a result, information sharing among the different stakeholders of the EM scenario (i.e. EVs, EVSEs, City Services, etc) is enabled, and the interoperability of smart services offered by heterogeneous providers is guaranteed by the common ontology. Second, we rely on the proposed architecture to develop a remote charging reservation system, that runs on top of mobile smarthphones, and allows drivers to monitor the current state-of-charge of their EV, and to reserve a charging slot at a specific EVSE. Finally, we validate our architecture through a benchmark framework, that supports the embedding of mobile EV applications and of real KPs into a simulated vehicular scenario, including realistic traffic, wireless communication and battery models. Evaluation results confirm the scalability of our architecture, and the ability to support EVs charging operations on a large-scale scenario (i.e. the downtown of Bologna).
2013
IEEE 14th International Symposium and Workshops on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2013)
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L. Bedogni, L.Bononi, M. Di Felice, A. D'Elia, R. Mock, F. Montori, et al. (2013). An Interoperable Architecture for Mobile Smart Services over the Internet of Energy. Piscataway NJ : IEEE Press [10.1109/WoWMoM.2013.6583495].
L. Bedogni; L.Bononi; M. Di Felice; A. D'Elia; R. Mock; F. Montori; F. Morandi; L. Roffia; S. Rondelli; T. Salmon Cinotti; F. Vergari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/191491
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