Development of mathematical model of operation of autonomous charger station of electric vehicles from vind electric units
This paper considers the possibility of constructing a
generalized mathematical model for converting the kinetic energy
of the wind stream into the chemical energy of the active
components of the traction battery of the electric vehicle when
using an autonomous charging station based on wind power
plants. An analysis of the mathematical models of the work of
the wind power plants showed a high degree of their workability,
while the mathematical model that describes the random nature
and frequency of the onset of the process of charging the AB
electric vehicle to date is not. As a result of the analysis of existing
approaches to describing the battery power of a battery, a
new mathematical equation is proposed which, unlike the existing,
includes the function f = (c), which takes into account the
random nature and frequency of the charge of the AB electric
vehicle. The application of the heuristic approach for determining
the function f (C) was proposed, which allowed to obtain a
mathematical equation that approximates the random nature and
frequency of the charge process of the AB electric vehicle.
sources" – Textbook. – Kyiv: National Technical University of
Ukraine (KPI), 2012. – 495 p.
2. Kudrya S.O., Budko V.I. "Introduction to. Unconventional
and Renewable Energy" – electronic course of lectures – Kyiv: National
Technical University of Ukraine (" KPI "), 2013 – 360 p.
3. Online resource. Access mode: http://data.gov.ua
4. S. Diaf, M. Belhamel, M. Haddadi, A. Louche, "A methodology
for optimal sizing of autonomous hybrid PV/wind system",
Energy Policy, Volume 35, Issue 11, pp. 5708-5718, 2007.
5. Methods of forecasting the wind energy potential of the
region: author's abstract. Dis ... Cand. Tech Sciences / Z. U.
Ramazanova; NAS of Ukraine. In-t recovered. Power engineering
– K., 2007. – 19 c.
6. Internet resource. Access mode:
7. M. Olsson, M. Perninge, L. Sцder Modeling real-time
balancing power demands in wind power systems using stochastic
differential equations Electric Power Systems Research 80
8. Budko V. I. Using the power potential of wind and the
sun in autonomous power systems in the territory of Ukraine / V.
I. Budko // Renewable energy. – 2010. – No. 1. – S. 26-35.
9. Chen M., Rincon-Mora G. A. Accurate electrical battery
model capable of predicting runtime and IV performance
//Energy conversion, IEEE transactions on. – 2006. – Т. 21. –
№. 2. – С. 504-511.
10. Budko V. I. The analysis of expediency of introduction
of electric vehicle charging stations on the basis of renewable
energy sources in Ukraine / V. I. Budko // Renewable energy. –
2016. – No. 4. – P. 32-41.
11. Online resource. Access mode: http://nissanelektro.
com.ua/Chemical conductors Sources: Directory / Under
the editors N.V. Korovin and A. M. Skudyn. – M.: MEI Publishing,
2003. – 740p.
12. J.A.Carta, P.Ramírez. Use of finite mixture distribution
models in the analysis of wind energy in the Canarian
Archipelago // Energy Conversion and Management V.48, Is.1,
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