mmse.95.86.168

Location 10.2412/mmse.95.86.168

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Authors: Pivnyak G.G., Kravets V.V., Bas K.M., Kravets Vl.V., Zubariev M.S., Tokar L.A.

ABSTRACT. A method of the analysis of cost efficiency in the context of filling and charging stations for hybrid vehicles is proposed. Dynamic model of random Markov process for hybrid vehicles maintenance in the form of asymmetric state graph with four nodes is constructed. Relevant mathematical model of random Markov process in the form of recurrent quartic matrix format is being developed. Matrix of transition values to reconstitute and store both mechanical and electrical subsystems of hybrid vehicles, mathematical expectations of values of certain transitions is formed. A matrix of transition values to re-establish and store both mechanical and electrical subsystems of hybrid vehicles; mathematical expectations of values of certain transitions as well as mathematical expectation of a random Markov process value on the whole are introduced.

Keywords: hybrid vehicles, transition probability matrices, transition value matrices, mathematical expectation of Markov process value

DOI 10.2412/mmse.95.86.168

References

[1] Cao, J., & Emadi, A. (2012). A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles. IEEE Transactions on Power Electronics, 27(1), 122-132. DOI 10.1109/tpel.2011.2151206

[2] Soares, João, Canizes, Bruno, Lobo, Cristina, Vale, Zita and Morais, Hugo (2012). Electric Vehicle Scenario Simulator Tool for Smart Grid Operators. Energies, 5(12), 1881-1899. DOI 10.3390/en5061881

[3] Xiang, Changle, Wang, Yanzi, Hu, Sideng and Wang, Weida (2014). A New Topology and Control Strategy for a Hybrid Battery-Ultracapacitor Energy Storage System. Energies, 7 (5), 2874-2896. DOI 10.3390/en7052874

[4] Pivnyak, G. G., Beshta, O.S., Balakhontsev O.V., et al (2013). Economic and environmental aspects of complex power generation and utilization in terms of urbanized territories. (in Ukrainian). Dnipropetrovsk: NMU. 176 p. ISBN 978 – 966 – 350 – 403 – 2

[5] Kravets, V., Kravets, Vl., Burov, O. (2016). Reliability of Systems. Part 2. Dynamics of Failures. Lap Lambert Academic Publishing, Omni Scriptum GmbH & Co. KG. 100 p. ISBN: 978–3–659–89711–5

[6] Kravets, V., Kravets, Vl., Burov, O. (2016). Process Modeling for Energy Usage in “Smart House” System with a Help of Markov Discrete Chain. Mechanics, Materials Science & Engineering, 7, 85-96. DOI 10.13140/RG.2.2.34948.32643

[7] Kravets, V.V., Besedin, A.M., Kravets, Vl.V. (2015) Modeling of wound process dynamics in patients with diabetes mellitus in addition to vac-therapy with a discrete-time markov chain. Sch. Acad. J. Biosci. (SAJB), 3(11), 981-984

[8] Kravets, V.V., Bass, K.M., Kravets, Vl.V., Tokar, L.A. (2014) Analytical Solution of Kolmogorov Equations for Four-Condition Homogenous Symmetric and Ergodic System. Open Journal Of Applied Sciences, 4, 497-500. DOI 10.4236/ojapps.2014.410048

[9] Kravets, V., Kravets, Vl., Burov, O. (2016). Matrix Method for Assessing Economic Efficiency of Systems Simulated with Asymmetric Markov Discrete Chains, Automation, Software Development & Engineering Journal, 1, 1-22. ISSN 2415-6531. DOI 10.2415/asdej.82.25.192

[10] Ventcel, E.S., Ovcharov, L.A. (1991). Theory of random processes and its engineering application. Moscow, Nauka Publ. 384 p.

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