Computational application to study the performance of an electric vehicle with photovoltaic panels

Author(s):  
Catarina Dinis ◽  
Antonio Roque ◽  
Duarte M. Sousa ◽  
Vitor Fernao Pires
Author(s):  
Stefano De Pinto ◽  
Qian Lu ◽  
Pablo Camocardi ◽  
Christoforos Chatzikomis ◽  
Aldo Sorniotti ◽  
...  

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 49
Author(s):  
Lucian Ioan Dulău ◽  
Dorin Bică

In this paper is presented an algorithm for the power management of a smart home with electric vehicle and photovoltaic panels. The case study is performed considering the power demand of the household appliances, the charging/discharging of the electric vehicle, and the power supplied by the photovoltaic panels. The photovoltaic panels have a small installed power and benefit from the support scheme from the government for these types of generation sources, so it is a prosumer. The simulation is performed for a day. Additionally, the cost of power supplied to the consumer is also analyzed.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian

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.


Author(s):  
Totska Olesia ◽  
Glovatsky Anastasia

The purpose of the article is to plan a project of an electric vehicle technicalassistance point. the methodology of the study is to use the critical path method.the scientific novelty of the obtained results is that the article describes the practicalaspects of project planning of the creation of an electric vehicle technical assistancepoint. In particular, the tasks of the project are described, labor, material and financialresources necessary for its realization are specified. conclusions. The implementationof the developed project will effectively manage the content, time and resources ofthe project of the creation of an electric vehicle technical assistance point.


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