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REVIEW AND ANALYSIS OF REAL TIME BIG DATA OF ELECTRIC BUS CONSUMPTION DATA AND OPTIMUM INTEGRATION INTO THE URBAN TRANSPORTATION ROUTES

Authors:

Abstract

Electric transportation systems, which have become a necessity due to climate change and sustainability, are increasing their popularity in urban transportation. With the spread of electrification activities, transportation systems are gradually being converted to electrified systems. However, in the urban integration of electric transportation systems, it is necessary to examine, analyze, model and improve the necessary parameters of electric vehicle systems. These parameters include the slope of the route to be operated, the number of hourly passengers to be transported in the electric bus, the humidity and temperature of the city, and the critical electrical and mechanical data of the electric vehicle. In order to recommend a suitable electrified transportation system, the most appropriate relationship between these parameters should be determined. In this study, the data obtained from the black boxes of the electric Tambus vehicles operated in Malatya and the data produced on the operating route were analyzed. Trambus is a trolleybus line located in Malatya, Turkey. The route is 38 km long and operates between the City Bus Terminal and the central campus of Inonu University. Currently, service continues with 22 Trambuses. The aim of this study is to reveal a model suitable for the electrical kW output of an electric bus with real-time data and by applying this electrical model to the routes where internal combustion buses are operated, it is foreseen to provide the most suitable conditions in the transformation process. Finally, this electrical model of the Trambus vehicle was applied to the routes where internal combustion buses are operated, and the results were evaluated by comparing in detail and presented with the study.
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;'H÷LúNHQL        
;'H÷LúNHQL        
;'H÷LúNHQL        
;'H÷LúNHQL        
;'H÷LúNHQL        
;'H÷LúNHQL        
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Conference Paper
Calculating the energy consumption of electric vehicles (EVs) is crucial to optimize efficiency and driving range, taking into account the outdoor temperature. Research shows that low temperatures significantly increase motor and battery energy consumption while inhibiting regenerative energy recovery, with optimum efficiency achieved at around 20-30 degrees Celsius. Furthermore, the use of heating and cooling systems in different seasons also affects the overall efficiency by affecting battery energy consumption. Therefore, outdoor temperature and driving conditions must be taken into account to accurately assess and optimize the energy consumption of EVs. In this study, the effects of outdoor temperature on range and energy consumption are analyzed using real-time big data from Electric Buses (EB). The field application of the study is based on the EB route currently in operation in Malatya. The EB route is divided into 4 different regions and the energy consumption and the corresponding outdoor temperature for each region are analyzed using regression analysis techniques. As a result of the calculations, it was calculated that the most efficient consumption for the entire EB route is 3,02 kWh/km and this consumption value can be achieved with a temperature of 21,5 oC.
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