A platform for personal e-mobility with route forecasting

Name: A platform for personal e-mobility with route forecasting
Author: Kaya, Kamil, Poyrazoğlu, Göktürk

İsim	A platform for personal e-mobility with route forecasting
Yazar	Kaya, Kamil, Poyrazoğlu, Göktürk
Basım Tarihi:	2020
Basım Yeri	- IEEE
Konu	E-mobility, Charging stations, Route tracker, Route forecasting, Machine learning
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-172817116-6
Kayıt Numarası	605ea6e5-42e1-44cd-8370-9258ace7a1e0
Lokasyon	Electrical & Electronics Engineering
Tarih	2020
Örnek Metin	This study reports a new e-mobility platform to construct effective usage of charging points by electric vehicle users to eliminate long charge durations. The e-mobility platform includes such subsystems as smartphones, databases, and IoT. A smartphone is used by the user to connect with an electric vehicle via Bluetooth, and the phone makes bidirectional communication with the database system by sending a car's location, charge level, and reservation request information and taking charge station status and most suitable station proposal. Also, the platform continuously checks the car's charge level and when the level falls in a critical range, automatically suggests the user navigate the car to the nearest charge station. Moreover, our platform is also designed for route forecasting concerning driver's past travel routines. In this forecasting module, the platform also offers the most suitable charge stations by controlling the charge level of the car, the density of the charging station, duration of total charging.
DOI	10.1109/ICECCE49384.2020.9179482

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A platform for personal e-mobility with route forecasting

Yazar Kaya, Kamil, Poyrazoğlu, Göktürk

Basım Tarihi 2020

Basım Yeri - IEEE

Konu E-mobility, Charging stations, Route tracker, Route forecasting, Machine learning

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-172817116-6

Kayıt Numarası 605ea6e5-42e1-44cd-8370-9258ace7a1e0

Lokasyon Electrical & Electronics Engineering

Tarih 2020

Örnek Metin This study reports a new e-mobility platform to construct effective usage of charging points by electric vehicle users to eliminate long charge durations. The e-mobility platform includes such subsystems as smartphones, databases, and IoT. A smartphone is used by the user to connect with an electric vehicle via Bluetooth, and the phone makes bidirectional communication with the database system by sending a car's location, charge level, and reservation request information and taking charge station status and most suitable station proposal. Also, the platform continuously checks the car's charge level and when the level falls in a critical range, automatically suggests the user navigate the car to the nearest charge station. Moreover, our platform is also designed for route forecasting concerning driver's past travel routines. In this forecasting module, the platform also offers the most suitable charge stations by controlling the charge level of the car, the density of the charging station, duration of total charging.

DOI 10.1109/ICECCE49384.2020.9179482