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Battery discharging model on fractal time sets

  • Karmina Kamal Ali , Alireza Khalili Golmankhaneh ORCID logo EMAIL logo and Resat Yilmazer
Published/Copyright: June 8, 2021

Abstract

This article is devoted to propose and investigate the fractal battery discharging model, which is one of the well-known models with a memory effect. It is presented as to how non-locality affects the behavior of solutions and how the current state of the system is affected by its past. Firstly, we present a local fractal solution. Then we solve the non-local fractal differential equation and examine the memory effect that includes the Mittag-Leffler function with one parameter. For that aim, the local fractal and non-local fractal Laplace transforms are used to achieve fractional solutions. In addition, the simulation analysis is performed by comparing the underlying fractal derivatives to the classical ones in order to understand the significance of the results. The effects of the fractal parameter and the fractional parameter are discussed in the conclusion section.

2010 Mathematics subject classification: 28A80; 44A10

Corresponding author: Alireza Khalili Golmankhaneh, Department of Physics, Urmia Branch, Islamic Azad University, 63896 Urmia, Iran, E-mail:

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

[1] B. B. Mandelbrot, The Fractal Geometry of Nature, New York, W. H. Freeman, 1982.Search in Google Scholar

[2] A. Bunde and S. Havlin, Fractals in Science, Berlin Heidelberg, Springer, 2013.Search in Google Scholar

[3] K. J. Falconer, The Geometry of Fractal Sets, Cambridge, Cambridge University Press, 1986.10.1017/CBO9780511623738Search in Google Scholar

[4] K. Falconer, Fractal Geometry: Mathematical Foundations and Applications, New York, John Wiley & Sons, 2004.10.1002/0470013850Search in Google Scholar

[5] K. Falconer, Techniques in Fractal Geometry, New York, John Wiley & Sons, 1999.Search in Google Scholar

[6] G. A. Edgar, Integral, Probability, and Fractal Measures, New York, Springer, 1998.10.1007/978-1-4757-2958-0Search in Google Scholar

[7] S. Rice, “Fractal modelling: growth and form in biology,” Science, vol. 266, pp. 664–666, 1994. https://doi.org/10.1126/science.266.5185.664-a.Search in Google Scholar PubMed

[8] R. S. Strichartz, Differential Equations on Fractals, Princeton, Princeton University Press, 2018.10.2307/j.ctv346nvvSearch in Google Scholar

[9] M. T. Barlow and E. A. Perkins, “Brownian motion on the Sierpinski gasket,” Probab. Theor. Relat. Fields, vol. 79, pp. 543–623, 1988. https://doi.org/10.1007/bf00318785.Search in Google Scholar

[10] F. H. Stillinger, “Axiomatic basis for spaces with noninteger dimension,” J. Math. Phys., vol. 18, pp. 1224–1234, 1977. https://doi.org/10.1063/1.523395.Search in Google Scholar

[11] A. S. Balankin, “A continuum framework for mechanics of fractal materials I: from fractional space to continuum with fractal metric,” Eur. Phys. J. B, vol. 88, 2015. https://doi.org/10.1140/epjb/e2015-60189-y.Search in Google Scholar

[12] M. Zubair, M. J. Mughal, and Q. A. Naqvi, Electromagnetic Fields and Waves in Fractional Dimensional Space, Berlin Heidelberg, Springer, 2012.10.1007/978-3-642-25358-4Search in Google Scholar

[13] L. Nottale and J. Schneider, “Fractals and nonstandard analysis,” J. Math. Phys., vol. 25, pp. 1296–1300, 1984. https://doi.org/10.1063/1.526285.Search in Google Scholar

[14] T. Gregory Dewey, Fractals in Molecular Biophysics, Oxford, Oxford University Press, 1998.10.1093/oso/9780195084474.001.0001Search in Google Scholar

[15] M. Czachor, “Waves along fractal coastlines: from fractal arithmetic to wave equations,” Acta Phys. Pol. B, vol. 50, p. 813, 2019. https://doi.org/10.5506/aphyspolb.50.813.Search in Google Scholar

[16] J. Kigami, Analysis on Fractals, Cambridge, Cambridge University Press, 2001.10.1017/CBO9780511470943Search in Google Scholar

[17] V. E. Tarasov, Fractional Dynamics, Berlin, Heidelberg, Springer, 2010.10.1007/978-3-642-14003-7Search in Google Scholar

[18] A. A. Iliasov, M. I. Katsnelson, and S. Yuan, “Hall conductivity of a Sierpiński carpet,” Phys. Rev. B, vol. 101, p. 045413, 2020. https://doi.org/10.1103/physrevb.101.045413.Search in Google Scholar

[19] J. Wu and C. Wang, “Fractal Stokes’theorem based on integrals on fractal manifolds,” Fractals, vol. 28, p. 2050010, 2020. https://doi.org/10.1142/s0218348x20500103.Search in Google Scholar

[20] M. Bohner and A. C. Peterson, Advances in Dynamic Equations on Time Scales, New York, Springer Science & Business Media, 2002.10.1007/978-0-8176-8230-9Search in Google Scholar

[21] A. Parvate and A. D. Gangal, “Calculus on fractal subsets of real-line I: Formulation,” Fractals, vol. 17, pp. 53–81, 2009. https://doi.org/10.1142/s0218348x09004181.Search in Google Scholar

[22] A. Parvate and A. D. Gangal, “Calculus on fractal subsets of real line II: conjugacy with ordinary calculus,” Fractals, vol. 19, pp. 271–290, 2011. https://doi.org/10.1142/s0218348x11005440.Search in Google Scholar

[23] A. Parvate, S. Satin, and A. D. Gangal, “Calculus on fractal curves in Rn,” Fractals, vol. 19, pp. 15–27, 2011. https://doi.org/10.1142/s0218348x1100518x.Search in Google Scholar

[24] A. K. Golmankhaneh and D. Baleanu, “Non-local integrals and derivatives on fractal sets with applications,” Open Phys., vol. 14, pp. 542–548, 2016. https://doi.org/10.1515/phys-2016-0062.Search in Google Scholar

[25] A. K. Golmankhaneh and C. Tunç, “Sumudu transform in fractal calculus,” Appl. Math. Comput., vol. 350, pp. 386–401, 2019. https://doi.org/10.1016/j.amc.2019.01.025.Search in Google Scholar

[26] C. Tunç, A. K. Golmankhaneh, and U. Branch, “On stability of a class of second alpha-order fractal differential equations,” AIMS math., vol. 5, pp. 2126–2142, 2020. https://doi.org/10.3934/math.2020141.Search in Google Scholar

[27] A. K. Golmankhaneh and C. Tunç, “Stochastic differential equations on fractal sets,” Stochastics, vol. 92, pp. 1244–1260, 2019. https://doi.org/10.1080/17442508.2019.1697268.Search in Google Scholar

[28] A. K. Golmankhaneh and C. Cattani, “Fractal logistic equation,” Fractal Fract., vol. 3, p. 41, 2019. https://doi.org/10.3390/fractalfract3030041.Search in Google Scholar

[29] A. K. Golmankhaneh and A. Fernandez, “Random variables and stable distributions on fractal Cantor sets,” Fractal Fract., vol. 3, p. 31, 2019. https://doi.org/10.3390/fractalfract3020031.Search in Google Scholar

[30] A. K. Golmankhaneh and C. Tunc, “Analogues to Lie method and Noether’s theorem in fractal calculus,” Fractal Fract., vol. 3, p. 25, 2019. https://doi.org/10.3390/fractalfract3020025.Search in Google Scholar

[31] A. K. Golmankhaneh, “Statistical mechanics involving fractal temperature,” Fractal Fract., vol. 3, p. 20, 2019. https://doi.org/10.3390/fractalfract3020020.Search in Google Scholar

[32] A. Golmankhaneh and A. Fernandez, “Fractal calculus of functions on Cantor Tartan spaces,” Fractal Fract., vol. 2, p. 30, 2018. https://doi.org/10.3390/fractalfract2040030.Search in Google Scholar

[33] A. K. Golmankhaneh, A. Fernandez, A. K. Golmankhaneh, and D. Baleanu, “Diffusion on middle-ξ Cantor sets,” Entropy, vol. 20, p. 504, 2018. https://doi.org/10.3390/e20070504.Search in Google Scholar PubMed PubMed Central

[34] A. K. Golmankhaneh, “About Kepler’s third law on fractal-time spaces,” Ain Shams Eng. J., vol. 9, pp. 2499–2502, 2018. https://doi.org/10.1016/j.asej.2017.06.005.Search in Google Scholar

[35] Y. Sato, S. Takeuchi, and K. Kobayakawa, “Cause of the memory effect observed in alkaline secondary batteries using nickel electrode,” J. Power Sources, vol. 93, pp. 20–24, 2001. https://doi.org/10.1016/s0378-7753(00)00506-1.Search in Google Scholar

[36] I. Podlubny, Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications, Netherlands, Elsevier, 1998.Search in Google Scholar

[37] T. P. J. Crompton, Battery Reference Book, Netherlands, Elsevier, 2000.Search in Google Scholar

[38] U. Hullmeine, A. Winsel, and E. Voss, “Effect of previous charge/discharge history on the capacity of the PbO2/PbSO4 electrode: the hysteresis or memory effect,” J. Power Sources, vol. 25, pp. 27–47, 1989. https://doi.org/10.1016/0378-7753(89)80120-x.Search in Google Scholar

[39] J-M. Tarascon, A. S. Gozdz, C. Schmutz, F. Shokoohi, and P. C. Warren, “Performance of Bellcore’s plastic rechargeable Li-ion batteries,” Solid State Ionics, vol. 86, pp. 49–54, 1996. https://doi.org/10.1016/0167-2738(96)00330-x.Search in Google Scholar

[40] S. Westerlund, “Dead matter has memory!,” Phys. Scr., vol. 43, p. 174, 1991. https://doi.org/10.1088/0031-8949/43/2/011.Search in Google Scholar

[41] R. Herrmann, Fractional Calculus: An Introduction for Physicists, Singapore, World Scientific, 2014.10.1142/8934Search in Google Scholar

[42] R. DiMartino and W. Urbina, “On Cantor-like sets and Cantor-Lebesgue singular functions,” arXiv preprint arXiv:1403.6554, 2014.Search in Google Scholar

[43] K. Welch, A Fractal Topology of Time: Deepening into Timelessness, Austin, TX, Fox Finding Press, 2020.Search in Google Scholar

[44] A. K. Golmankhaneh and K. Welch, “Equilibrium and non-equilibrium statistical mechanics with generalized fractal derivatives: a review,” Mod. Phys. Lett. A, vol. 36, no. 14, p. 2140002, 2021. https://doi.org/10.1142/s0217732321400022.Search in Google Scholar

Received: 2020-06-24
Accepted: 2021-05-13
Published Online: 2021-06-08
Published in Print: 2023-02-23

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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