scholarly journals Performance evaluation of online open-circuit voltage estimation method for photovoltaic system

2020 ◽  
Vol 2 (12) ◽  
Author(s):  
Ahsan Nadeem
Keyword(s):  
Performance Evaluation ◽  
Open Circuit Voltage ◽  
Estimation Method ◽  
Open Circuit ◽  
Photovoltaic System

An Investigation on Dye-Sensitized Solar Cell Performance Influenced by Radiant Intensity and Illuminated Area in Concentrating Photovoltaic System

2014 ◽  
Vol 1070-1072 ◽  
pp. 616-619
Author(s):  
Wen Bo Xiao ◽  
Jin Dai ◽  
Guo Hua Tu ◽  
Hua Ming Wu
Keyword(s):  
Solar Cell ◽  
Open Circuit Voltage ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Dye Sensitized Solar Cell ◽  
Solar Cell Performance ◽  
Radiant Intensity ◽  
Dye Sensitized

The dye-sensitized solar cell performances influenced by radiant intensity and illuminated area in concentrating photovoltaic system are investigated experimentally and discussed theoretically. The results show that, under the same irradiated cells area, the short-circuit current is linearly increasing with the radiant intensity and the open-circuit voltage follows a logarithmic function of the radiant intensity. And, it is turned out that the short-circuit current and open-circuit voltage are obviously enhanced by increasing the illuminated cells surface area at the same radiant intensity. However, that growth trends will decline with an increase of the illuminated area. The reason is more defects involved in the process of increasing illumination area. All results can be interpreted using an equivalent circuit of a single diode model. A good agreement can be observed from the fitting curves. It is of great significance for current photovoltaic research.

scholarly journals The Transition to Renewable Energy for A Green Shoot of Economic Revival: Comparative Study of Four MPPT Control Algorithms for A PV System

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Hedi Trabelsi ◽  
Younes Boujelbene
Keyword(s):  
Renewable Energy ◽  
Open Circuit Voltage ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Control Algorithms ◽  
Pv System ◽  
Perturb And Observe ◽  
Simulation Results

This paper explains the need for renewable energies for “green revival” of the economy. First, we will analyze the overall context of the double crisis. Then we will focus on “green recovery” as a solution for these two crises. Finally, we will study the example of the photovoltaic system as a source of renewable energy by presenting and comparing four types of MPPT commands such as: Perturb and Observe, Incremental Conductance, Fractional Open-Circuit Voltage (FOV) and Fractional Short-Circuit Current (FCC). The Matlab-Simulink environment will be used to analyze and interpret the simulation results of these algorithms and therefore we show the performance and limits of each algorithm.

Nonlinear Response of Si-Based Solar Cells in Linearly Polarized Light under Low Illumination

2013 ◽  
Vol 291-294 ◽  
pp. 18-21
Author(s):  
Q. Wang ◽  
X.D. He ◽  
W.B. Xiao
Keyword(s):  
Solar Cells ◽  
Light Intensity ◽  
Angular Dependence ◽  
Open Circuit Voltage ◽  
Polarized Light ◽  
Nonlinear Effects ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Linearly Polarized ◽  
Low Illumination

The linearly polarization photosensitivity of Si-based solar cells has been investigated. It has been shown that the angular dependence of the open-circuit voltage and light intensity are observed similar change trend. However, a contrary behavior is reported in the angular dependence of the ratio between the open-circuit voltage and polarized light intensity. Through the establishment of a theoretical model and detailed analysis, it is found that the nonlinear effects play a crucial role in the photovoltage responses of solar cells under low illumination. The angular dependence of the ratio of the open-circuit voltage to the light intensity is inversely proportional to the square of the cosine function. This work is very significant for the photovoltaic system research.

scholarly journals A Time-Efficient and Accurate Open Circuit Voltage Estimation Method for Lithium-Ion Batteries

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1803 ◽  
Author(s):  
Yingjie Chen ◽  
Geng Yang ◽  
Xu Liu ◽  
Zhichao He
Keyword(s):  
Lithium Ion Batteries ◽  
Open Circuit Voltage ◽  
Estimation Method ◽  
Nonlinear Function ◽  
Lithium Ion ◽  
Open Circuit ◽  
Constant Current ◽  
Estimation Accuracy ◽  
Battery Modeling ◽  
The Difference

The open circuit voltage (OCV) of lithium-ion batteries is widely used in battery modeling, state estimation, and management. However, OCV is a function of state of charge (SOC) and battery temperature (Tbat) and is very hard to estimate in terms of time efficiency and accuracy. This is because two problems arise in normal operations: (1) Tbat changes with the current (I), which makes it very hard to obtain the data required to estimate OCV—terminal voltage (U) data of different I under the same Tbat; (2) the difference between U and OCV is a complex nonlinear function of I and is very difficult to accurately calculate. Therefore, existing methods have to design special experiments to avoid these problems, which are very time consuming. The proposed method consists of a designed test and a data processing algorithm. The test is mainly constant current tests (CCTs) of large I, which is time-efficient in obtaining data. The algorithm solves the two problems and estimates OCV accurately using the test data. Experimental results and analyses showed that experimental time was reduced and estimation accuracy was adequate.

scholarly journals Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1811 ◽  
Author(s):  
Alejandro Gismero ◽  
Erik Schaltz ◽  
Daniel-Ioan Stroe
Keyword(s):  
Open Circuit Voltage ◽  
Estimation Method ◽  
Lithium Ion ◽  
Open Circuit ◽  
Operating Conditions ◽  
State Of Charge ◽  
Recursive Least Squares ◽  
State Of Health ◽  
Operation Conditions ◽  
Extensive Test

The state of charge (SOC) and state of health (SOH) are two crucial indicators needed for a proper and safe operation of the battery. Coulomb counting is one of the most adopted and straightforward methods to calculate the SOC. Although it can be implemented for all kinds of applications, its accuracy is strongly dependent on the operation conditions. In this work, the behavior of the batteries at different current and temperature conditions is analyzed in order to adjust the charge measurement according to the battery efficiency at the specific operating conditions. The open-circuit voltage (OCV) is used to reset the SOC estimation and prevent the error accumulation. Furthermore, the SOH is estimated by evaluating the accumulated charge between two different SOC using a recursive least squares (RLS) method. The SOC and SOH estimations are verified through an extensive test in which the battery is subjected to a dynamic load profile at different temperatures.

P3HT/ZnS: A new hybrid bulk heterojunction photovoltaic system with very high open circuit voltage

2009 ◽  
Vol 93 (5) ◽  
pp. 662-666 ◽  
Author(s):  
Michael Bredol ◽  
Katarzyna Matras ◽  
Adam Szatkowski ◽  
Jerzy Sanetra ◽  
Anna Prodi-Schwab
Keyword(s):  
Open Circuit Voltage ◽  
Bulk Heterojunction ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Very High

scholarly journals A Fast and Accurate Maximum Power Point Tracking Approach Based on Neural Network Assisted Fractional Open-Circuit Voltage

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2206
Author(s):  
Ahmad Alzahrani
Keyword(s):  
Neural Network ◽  
Open Circuit Voltage ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper presents an enhanced maximum power point tracking approach to extract power from photovoltaic panels. The proposed method uses an artificial neural network technique to improve the fractional open-circuit voltage method by learning the correlation between the open-circuit voltage, temperature, and irradiance. The proposed method considers temperature variation and can eliminate the steady-state oscillation that comes with conventional algorithms, which improves the overall efficiency of the photovoltaic system. A comparison with the traditional and most widely used algorithms is discussed and shows the difference in performance. The presented algorithm is implemented with a Ćuk converter and tested under various weather and irradiance conditions. The results validate the competitiveness of the algorithm against other algorithms.

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