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Modeling the I- λ-T Characteristic for Photovoltaic Systems Storage Batteries During Charging Process

Abstract

In this paper is presented a numerical method for measurement and analysis of the charging characteristics I-λ-t (battery current-irradiance-time) of storage batteries for photovoltaic (PV) power systems. The experimental data is obtained from the PV modules by a data acquisition system built in the charger component. An algorithm developed as a Matlab source code is used to model the charging characteristics of the batteries connected to a PV system. Using the interpolation method, the mathematical function of total battery current and depending on time and illumination are obtained. The numerical values of the errors between the theoretical and experimental results prove the accuracy of the proposed method.

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Modeling the PV Power Systems Storage Batteries Charging Characteristics

Abstract

In this paper, a numerical method is presented for measuring and analyzing the characteristics of the charging process for nine photovoltaic panels storage batteries systems. The data was collected with the PV charger module which has a built-in data acquisition board. A source code algorithm written in Matlab is developed to obtain a mathematical model for the characteristics of the charging process of the batteries connected to the PV panels. Using the interpolation method, a mathematical model is obtained. The numerical error between experimental and theoretical results prove that the method is accurate.

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An interpolation method of b-spline surface for hull form design

ABSTRACT

This paper addresses the problem of B-spline surface interpolation of scattered points for a hull form design, which are not arbitrarily scattered, but can be arranged in a series of contours permitting variable number of points in the contours. A new approach that allows different parameter value for each point on the same contour has been adopted. The usefulness and quality of the interpolation has been demonstrated with some experimental results.

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A Novel Quadrature Signal Estimation Method for a Planar Capacitive Incremental Displacement Sensor

-dimensional motions of a rotor. Mechanical Systems and Signal Processing , 29, 148-163. [10] Heydemann, P.L.M. (1981). Determination and correction of quadrature fringe measurement errors in interferometers. Applied Optics , 20 (19), 3382-3384. [11] Tan, K.K., Zhou, H.X.X., Lee, T.H. (2002). New interpolation method for quadrature encoder signals. IEEE Transactions on Instrumentation and Measurement , 51 (5), 1073-1079. [12] Hu, H.J., Qiu, X.Q., Wang, J., Ju, A.S., Zhang, Y.B. (2009). Subdivision and direction recognition of lambda/16 of orthogonal fringes for

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Wireless channel estimation in OFDM systems based on collaborative filtering techniques

, B. G. Stewart, and S. G. McMeekin, “Least Squares Interpolation Methods for LTE System Channel Estimation over Extended ITU Channels”, International Journal of Information Electronics Engineering vol. 3, no. 4, pp. 414–418, 2013. [5] S. Coleri, M. Ergen, A. Puri, and A. Bahai, “A Study of Channel Estimation in OFDM Systems”, Proceedings of 56th Vehicular Technology Conference , Vancouver, Canada, vol. 2, pp. 894–898, 2002. [6] Darshan, V. Adakane, and K. Vasudevan, “An Efficient Pilot Pattern Design for Channel Estimation in OFDM Systems”, IEEE

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Spatial interpolation of point velocities in stream cross-section

.B., Özcakal, E., 2011. Determination of velocity dispersion profiles in open canals using different interpolation methods. Scientific Research and Essays, 6, 15, 3272-3280. Venables, W.N., Smith, D.M., The R Core Team, 2014. An introduction to R. The R Core Team. URL http://cran.rproject. org/doc/manuals/R-intro.pdf. Wackernagel, H., 2003. Multivariate Geostatistics: an Introduction with Applications. Springer, Berlin. Webster, R., Oliver, M.A., 2007. Geostatistics for Environmental Scientists. Second edition. John Wiley

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A scheme for comprehensive computational cost reduction in proper orthogonal decomposition

R eferences [1] A. C. Antoulas, “Approximation of Large-Scale Dynamical Systems”, SIAM 2005. [2] P. Astrid, “Fast Reduced Order Modeling Technique for Large Scale LTV Systems”, In Proceeddings of American Control Conferfence 2004, vol. 1, pp. 762–767. [3] N. C. Nguyen, A. T. Patera, and J. Peraire,“A ’Best Points’ Interpolation Method for Efficient Approximation of Parametrized Functions”, Int. J.Num.Methods Eng. vol. 73, 2008, pp. 521–543. [4] R. Everson and L. Sirovich Karhunen-Loeve, “Procedure for Gappy Data J”, J. Opt. Soc. Am

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Surface strain rate colour map of the Tatra Mountains region (Slovakia) based on GNSS data

of the Earth’s Crust Deformations in Alpine Area [Monitorovanie deformácií zemskej kôry vo vysokohorskom prostredí]. Thesis, Slovak University of Technology in Bratislava, Faculty of Civil Engineering, 1-127 (in Slovak, with English summary). Pohánka V. 2005: Universal interpolation method for many-dimensional spaces. Available online at: http://gpi.savba.sk/GPIweb/ogg/pohanka/int.pdf. Sperner B. & Ratschbacher L. 1995: Rise and fall of the High Tatra Mts. In: Proceedings of Europrobe Workshop Pancardi. SAV, Bratislava, 67

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The vertical accuracy of digital terrain models derived from the close-range photogrammetry point cloud using different methods of interpolation and resolutions

:110–117. Alganci, U., Besol, B., Sertel, E., 2018: Vertical accuracy Assessment of Different Digital Surface Models. ISPRS International Journal of Geo-Information, 7, 114 p. Arun, V. P., 2013: A comparative analysis of different DEM interpolation methods. The Egyptian Journal of Remote Sensing and Space Sciences, 16:133–139. Bassett, I. E., Simcock, R. C., Mitchell, N. D., 2005: Consequences of soil compaction for seedling establishment: implications for natural regeneration and restoration. Austral Ecology, 30:827–833. Cambi, M., Hoshika, Y., Mariotti, B

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Characteristic-Based Split Meshless Solution for Couette Flow

Abstract

The paper deals with use of the meshless method for incompressible fluid flow analysis. There are many formulations of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG) - local weak formulation of the Navier-Stokes equations. The shape function construction is the crucial part of the meshless numerical analysis in the construction of shape functions. The article presents the radial point interpolation method (RPIM) for the shape functions construction

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