Tesi etd-04112021-185632 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
BRIZZI, CHIARA
URN
etd-04112021-185632
Titolo
Electric Vehicles Charging Network: Towards e-Roaming Protocol Standardization to Achieve Interoperability
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Relatori
relatore Prof. Bonaccorsi, Andrea
correlatore Prof.ssa Belingheri, Paola
correlatore Prof.ssa Hampl, Nina
correlatore Prof.ssa Belingheri, Paola
correlatore Prof.ssa Hampl, Nina
Parole chiave
- electric vehicles
- electromobility
- EV industry
- interoperability
- network
- platform
- roaming
- standardization
Data inizio appello
28/04/2021
Consultabilità
Non consultabile
Data di rilascio
28/04/2091
Riassunto
Climate change awareness makes support in the electric vehicle market. However the main factors influencing electric vehicle adoptions besides the purchase prices are driving range, charging time and charging structures. In this regard the standardization process is studied into the EV charging market as a process achievement for setting back-end communications. In particular the role of e-Roaming protocols is investigated, assumed as the indirect roaming, in opposition to the direct roaming used in peer-to-peer connections. The European scenario, indeed, at his Status Quo is fragmented, presenting many closed networks and a multitude of business models of rapidly evolving, where electric vehicle progress varies widely from country to country and from city to city. Understanding this variation is important in identifying effective policies and actions to further accelerate electric vehicle adoption. In Europe there are some interoperability protocols that allow indirect roaming connections in the electromobility. In order to individuate a standardization process that aims at a European interoperable scenario, a qualitative analysis is carried out drawing firms’ strategies and country-by-country cases studies. In addition the support of a quantitative network analysis made it possible to identify the main players and afterwards deeply investigate their strategies and alliances.
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