An Interoperable Architecture for Mobile Smart Services over the Internet of Energy
| Autor: | Luciano Bononi, Fabio Vergari, Marco Di Felice, Federico Montori, Alfredo D'Elia, Luca Bedogni, Tullio Salmon Cinotti, Francesco Morandi, Simone Rondelli, Luca Roffia, Randolf Mock |
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| Přispěvatelé: | Enzo Mingozzi, Yonghe Liu, 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 |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Performance Evaluation
Mobile Services Computer science business.industry Interoperability Electric Mobility Smart-M3 technology Software Architectures Ontology (information science) Data access Software deployment Scalability The Internet Mobile telephony Software architecture business Mobile Services Performance Evaluation Smart-M3 technology Software Architectures Electric Mobility Computer network |
| Zdroj: | WOWMOM |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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