Several technological solutions are being researched to establish efficient, reliable, and robust wireless vehicular electric charging on a wide scale. We propose an artificial vision system-the Grid Alignment Assistant System (GAAS)- A imed at maximizing the energy flow between the transmitting and receiving goals, by supporting the driver in the task of keeping an alignment between the vehicle and the charging grids in the road. GAAS exploits low cost and open hardware and software components. GAAS supports IoT capabilities as an API cloud service is developed for real-time measurements storage. This paper presents road test results showing that high precision misalignment estimations can be achieved, and presents some challenges imposed by the actual deployment environment.

IoT Grid alignment assistant system for dynamic wireless charging of electric vehicles

Kobeissi, Ahmad;Bellotti, Francesco;Berta, Riccardo;De Gloria, Alessandro
2018-01-01

Abstract

Several technological solutions are being researched to establish efficient, reliable, and robust wireless vehicular electric charging on a wide scale. We propose an artificial vision system-the Grid Alignment Assistant System (GAAS)- A imed at maximizing the energy flow between the transmitting and receiving goals, by supporting the driver in the task of keeping an alignment between the vehicle and the charging grids in the road. GAAS exploits low cost and open hardware and software components. GAAS supports IoT capabilities as an API cloud service is developed for real-time measurements storage. This paper presents road test results showing that high precision misalignment estimations can be achieved, and presents some challenges imposed by the actual deployment environment.
2018
9781538695852
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/944026
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