A New Optimization Framework for Harmonic Compensation Considering Plug‐in Electric Vehicle Penetration Using Adaptive Particularly Tunable Fuzzy Chaotic PSO

2020 ◽  
Author(s):  
Hossein Jafari Siahroodi ◽  
Hamed Mojallali ◽  
Seyed Saeid Mohtavipour
Keyword(s):  
Electric Vehicle ◽  
Harmonic Compensation ◽  
Optimization Framework ◽  
Chaotic Pso

A unified configurational optimization framework for battery swapping and charging stations considering electric vehicle uncertainty

Energy ◽  
2021 ◽  
Vol 218 ◽  
pp. 119536
Author(s):  
Mingze Zhang ◽  
Weidong Li ◽  
Samson Shenglong Yu ◽  
Kerui Wen ◽  
Chen Zhou ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Optimization Framework ◽  
Charging Stations

scholarly journals An optimization framework of electric vehicle (EV) batteries for product eco-design

Procedia CIRP ◽  
2020 ◽  
Vol 90 ◽  
pp. 366-371
Author(s):  
Cheng Zhang ◽  
Yun Liu ◽  
Yongming Qian ◽  
Hong Bao
Keyword(s):  
Electric Vehicle ◽  
Optimization Framework

Photovoltaic Electric Vehicle Charging System with the Function of Active Power Filter

2013 ◽  
Vol 724-725 ◽  
pp. 1459-1464
Author(s):  
Quan Liu ◽  
Xiang Ning Xiao ◽  
Zheng Chen
Keyword(s):  
Electric Vehicle ◽  
Active Power Filter ◽  
Active Power ◽  
System Structure ◽  
Harmonic Compensation ◽  
Charging System ◽  
Power Filter ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
And Control

According to power capacity shortage and harmonic pollution caused by the development of electric vehicles (EV), a photovoltaic (PV) charging system with the function of active power filter (APF) is designed. The system could provide charging power and harmonic compensation for electric vehicle charging machines at the same time. When sunlight is insufficient the PV charging system could continue to work in APF mode. In this paper, detailed analyses of system structure and control algorithms are given. Finally, the proposed system is simulated in PSCAD/EMTDC, and the simulation results validate the correctness and feasibility.

Adaptive identification methods of nonlinear random electrical signal

2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian
Keyword(s):  
Wavelet Transform ◽  
Electric Vehicle ◽  
Signal To Noise Ratio ◽  
Sudden Change ◽  
Electrical Signal ◽  
Signal Recognition ◽  
State Variable ◽  
Signal Characteristics ◽  
The Matrix ◽  
Kalman Filter Algorithm

The nonlinearity of the electric vehicle DC charging equipment and the complexity of the charging environment lead to the complex and changeable DC charging signal of the electric vehicle. It is urgent to study the distortion signal recognition method suitable for the electric vehicle DC charging. Focusing on the characteristics of fundamental and ripple in DC charging signal, the Kalman filter algorithm is used to establish the matrix model, and the state variable method is introduced into the filter algorithm to track the parameter state, and the amplitude and phase of the fundamental waves and each secondary ripple are identified; In view of the time-varying characteristics of the unsteady and abrupt signal in the DC charging signal, the stratification and threshold parameters of the wavelet transform are corrected, and a multi-resolution method is established to identify and separate the unsteady and abrupt signals. Identification method of DC charging distortion signal of electric vehicle based on Kalman/modified wavelet transform is used to decompose and identify the signal characteristics of the whole charging process. Experiment results demonstrate that the algorithm can accurately identify ripple, sudden change and unsteady wave during charging. It has higher signal to noise ratio and lower mean root mean square error.

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