Research on Harmonic of Electric Vehicle Charger Based on Matlab

2013 ◽  
Vol 291-294 ◽  
pp. 882-885
Author(s):  
Lei Zhang ◽  
Jun Liu
Keyword(s):  
Simulation Model ◽  
Electric Vehicle ◽  
Measured Data ◽  
Equivalent Model ◽  
Switching Function ◽  
Nonlinear Resistor ◽  
Three Phase ◽  
Harmonic Pollution ◽  
Charging Stations ◽  
Resistance Value

The charger for the electric vehicle (EV) is a nonlinear device, and will cause harmonic pollution when put into operation. This paper, firstly, analyzes harmonic caused by charger theoretically and defines its equivalent model as a three-phase full-bridge controlled rectifier, getting the characteristics of charger through the Fourier analysis of the switching function. Secondly, this paper builds the simulation model of the charger using Matlab/Simulink and replaces the car battery with a nonlinear resistor with resistance value changing over time. The parameters in the simulation model are the same as the charging stations in use and the results verify the charger’s harmonic characteristics. Finally, compared with the measured data, the results show the simulation model is suitable for engineering calculations.

Analysis on Harmonics Caused by Connecting Electric Vehicle Chargers with Power Network

2013 ◽  
Vol 724-725 ◽  
pp. 1393-1397
Author(s):  
Xiang Zhen Li ◽  
Guang Ming Hu ◽  
Peng Xin Hou ◽  
Yu Bo Fan ◽  
Chun Lin Guo
Keyword(s):  
Electric Vehicle ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Power Network ◽  
Nonlinear Loads ◽  
Harmonic Current ◽  
Current Ratio ◽  
Harmonic Pollution ◽  
Charging Stations ◽  
The Impact

As a class of nonlinear loads in the power system, electric vehicle chargers will produce a certain harmonic pollution for the grid. Before the construction of charging stations, it is necessary for electric vehicle charger (station) connected to the grid to simulate and predict harmonics. The models of single charger and charge station are built separately in order to simulate and analysis the impact of a single and multiple chargers on power quality. The factors of the harmonic current ratio (HRI) and the current total harmonic distortion (THDI) varied with the charging power and the number of the chargers are discussed and analyzed. The generation mechanism of harmonic counteraction and interaction between the chargers are analyzed. The simulation results show that: because of the impedance of the system and the transformer, the harmonic current ratio (HRI) and the current total harmonic distortion (THDI) both increase firstly to some extent and subsequently decrease gently with the increase of the number of the chargers in the same power charging. This phenomenon has nothing to do with the harmonic counteraction and how that happen is discussed and analysis in this paper. And the phenomenon of harmonics interaction and counteraction occurs with the increase of the number of the chargers in different power charging, and the current total harmonic distortion (THDI) declines and tends to maintain a relatively stable value.

Designing a System of Plug-In Hybrid Electric Vehicle Charging Stations

2013 ◽  
Author(s):  
Amirhossein Khosrojerdi ◽  
Minting Xiao ◽  
Piampoom Sarikprueck ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Mathematical Model ◽  
Simulation Model ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Service Level ◽  
Design Decisions ◽  
Time Service ◽  
Hybrid Electric ◽  
Charging Stations ◽  
The Mathematical Model

In this paper we present a two-step approach for the design of a system of Plug-in Hybrid Electric Vehicle (PHEV) charging stations. Our approach consists of a simulation model and a mathematical model. The simulation model formulates the charging station’s ability to meet charging demand by using discrete event simulation. The mathematical model formulates the design decisions made when designing the charging stations, i.e. locations and configurations of charging stations, using the compromise Decision Support Problem (cDSP). Waiting time, service time, number of slots (chargers) and demand are key inputs for the simulation model. Output of the simulation model, which is the service level of the charging stations, is used as an input for the mathematical model. By compromising between maximizing the service level, maximizing the demand coverage, minimizing the installation cost for slots and minimizing distance between charging stations and demand nodes, design decisions are taken in the mathematical model. Our focus in this paper is on the method which is widely applicable. However the approach is presented and evaluated for a data set from Dallas County, Texas.

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