Optimizing Charging Station Locations for Fleet of Electric Vehicles Using Multi-Source Weber Problem (CROSBI ID 642571)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ravlić, Martina ; Erdelić, Tomislav ; Carić, Tonči
engleski
Optimizing Charging Station Locations for Fleet of Electric Vehicles Using Multi-Source Weber Problem
Electric vehicles represent a new way to preserve the environment as they reduce exhaust emissions and noise, compared to conventional vehicles with internal combustion engines. A main drawback of electric vehicles compared to those with internal combustion is lower autonomy due to the low capacity storage of electric energy. The limitation of autonomy demands an optimal charging network for electric vehicles. This means that the number and spatial distribution of charging stations (CSs) must provide charging ability at low state of charge (SoC) and the ability to travel on longer distances. At a certain point, as in vehicles with internal combustion, when the SoC is below a defined value the demand for charging occurs. Charging locations should be set in such way that when demand for charging occurs, the vehicle can be recharged at nearest CS.
Battery Electric Vehicles ; Charging Infrastructure ; Multi-Source Weber Problem ; Optimization ; Weiszfeld Procedure
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Podaci o prilogu
111-114.
2016.
objavljeno
10.1109/ELMAR.2016.7731766
Podaci o matičnoj publikaciji
Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka
Zagreb:
9789531842211
Podaci o skupu
58th International Symposium ELMAR 2016.
predavanje
12.09.2016-14.09.2016
Zadar, Hrvatska
Povezanost rada
Tehnologija prometa i transport