Electric Vehicles
The project focuses on the development and evaluation of an innovative magnetic coupler designed for in-wheel wireless charging systems in electric vehicles (EVs). This technology aims to enhance the efficiency and convenience of EV charging by integrating the charging mechanism directly into the vehicle's wheels. The magnetic coupler utilizes principles of wireless power transfer (WPT) through magnetic induction and resonance, allowing for effective energy transfer even with misalignment and varying distances between the transmitter and receiver coils.
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A number of disruptive technologies are expected to impact on future power systems (PS). Electric vehicles (EV), photovoltaic systems (PV), wind turbines (WT), energy storage systems (ESS), vehicle to grid (V2G), and demand response (DR) are seen as those with the most significant potential impact on the PS. Whereas various aspects of the integration of these six technologies into PS are well researched, the technologies are often studied in isolation from each other or in small subsets (e.g. PV and ESS).
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These measurements were taken at the point of common coupling using the power quality analyzer PQ-Box 200, where about 30 EV chargers are installed and exploited by the utility. For this reason, this data set only considers the charging behavior of the vehicles employed by the enterprise, namely the Renault Kangoo ZE and Renault Zoe. The period under consideration starts on 5.11.2018 and ends on 07.01.2020. Because of the large amount of data, values with a time interval of 10mins are extracted and used in this data set.
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3306 Views
An efficient artificial scenerio generator for EV load simulation modeling has been developed acquiring probabilistic method for characterizing the stochastic nature of EVs and generate the schedule of EVs charging to ultimately achieve the EV load profile for impact study of EVs on distribution network. Model has been tested under different settings and by generating different scenarios to make it viable, realistic and adaptable to any defined characteristics.
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1947 Views
This dataset is in support of my research paper 'ElectroMagnetic Fields in Wireless Charging of Electric Vehicles '.
Preprint :
This is useful for industries, manufacturers,doctors,environmentalists, who are curious to see and know.
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2327 Views
Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.
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1416 Views
The files in this dataset each contain vectors Time, PEDAL, SPEED, ACCEL, VOLTAGE and CURRENT related to an Electric Vehicle travelling on one of four different roads, mostly in urban areas. Data is obtained from the CAN bus of the vehicle (a Zhidou ZD model ZD2) resampled in order to obtain a single time coordinate and stored in the dataset.
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3173 Views