Battery Charging Performance Using 12 Volts Solar Power Line Source
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This study analysed battery charging performance using 12 volts PV cells and a designed system. Specifically, this: 1) analysed battery charging performance: a) at varying amount of cloud cover in the atmosphere; b) with different capacity of solar battery, and 2) This analysed voltage behaviour during battery relaxation. It designed a system with four 12V, 100W and three 12V, 50W solar panels in parallel to produce 12V, 550W power output. The system was used to analyse voltage behaviour in charging two 12V, 100AH batteries, one is a dead while other is functional. Voltage reading was done using the open circuit voltage (OCV). The behaviour of voltage in charging of two batteries were interpreted through the derived mathematical model and by differentiation. It was found that the designed system of collecting energy is capable of charging 12V, 100AH battery within four hours when the atmosphere is cloudy and is shorten to two hours in clear atmosphere even if the charging time is started at early 6:00AM. However, the event is not applicable for the dead battery. During battery relaxation the battery is in equilibrium situation within four hours noting that the voltage reading does not change while it is decreasing in dead battery.
Ashim Gurung and Qiquan Qiao (2018), Solar charging batteries: advances, challenges, and opportunities, Joules, 2, 2017-2030
Julius Schnabel and Seppo Valkealahti (2016), Energy Storage Requirements for PV Power Ramp Rate Control in Northern Europe, International Journal of Photoenergy,
Kuszamaul, S.; Ellis, A.; Stein, J.; Johnson, L. (2010) Lanai high-density irradiance sensor network for characterizing solar resource variability of MW-scale PV system. In Proceedings of the 2010 35th IEEE Photovoltaic Specialists Conference (PVSC), Honolulu, HI, USA, 20–25 June 2010, 283–288.
Wiemken, E.; Beyer, H.G.G.; Heydenreich, W.; Kiefer, K. (2001), Power characteristics of PV ensembles: Experiences from the combined power production of 100 grid connected PV systems distributed over the area of Germany. Sol. Energy, 70, 513–518.
Mills, A.; Wiser, R. (2010), Implications of Wide-Area Geographic Diversity for Short-Term Variability of Solar Power; Lawrence Berkeley National Laboratory: Berkeley, CA, USA
Satyendra Vishwakarma (2015), Behaviour of battery energy storage system with PV, International Journal of Innovative Science, Engineering & Technology, 2(9), 591-595
J. H. R. Enslin and D. B. Snyman, (1991) Combined low-cost, high-efficient inverter, peak power tracker and regulator for PV applications IEEE Trans. Power Electron., 6(1), 73–82
Sree Manju B, Ramaprabha R and Mathur B.L, (2011), Design and Modeling of Standalone Solar Photovoltaic Charging System, International Journal of Computer Applications 18(2), 41-45
Smail Chtita, Aziz Derouich, Abdelaziz El Ghzizal and Saad Motahhir, (2021) An improved control strategy for charging solar batteries in off-grid photovoltaic systems, Solar Energy, 220, 927-941
Saad Motahhir, Aboubakr El Hammoumi, AbdelazizEl Ghzizal (2020), The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm, Journal of Cleaner Productiion, 246
V. Pop, H. J. Bergveld, J. H. G. Op het Veld, P. P. L. Regtien,D. Danilov, and P. H. L. Notten, (2006), Modeling Battery Behavior for Accurate State-of-Charge Indication, Journal of The Electrochemical Society, 153 (11) A2013-A2022
An Li, Serge Pelissier, Pascal Venet and Philippe Gyan, Fast characterization method for modelling battery relaxation voltage, (2016), Batteries, 2(2), 7
C.R. Birkl, M.R. Roberts, E. McTurk, P.G. Bruce, D.A. Howey (2017), Degradation diagnostics for lithium ion cells, J. Power Sources, 341, 373-386
Md Sazzad Hosen, Joris Jaguemont, Joeri Van Mierlo, Maitane Berecibar, (2021), Battery lifetime prediction and performance assessment of different modelling approaches, iScience, 4(24), 102060
Henrik Bindner, Tom Cronin, Per Lundsager, James F. Manwell, Utama Abdulwahid, Ian Baring-Gould, (2005), Lifetime Modelling of Lead Acid Batteries, Riso-R1515 (EN)
Yasha Parvini and Ardalan Vahidi, (2015), Maximizing charging efficiency of lithium-ion and lead-acid batteries using optimal control theory. 2015 American Control Conference, Palmer House Hilton, July 1-3, 2015. Chicago, IL, USA
Rajput, R.K. (2013). A textbook of automobile engineering. New Delhi: Laxmi Publications (P) Ltd.
Jacobson, M.A.I. (1970). Book of the car. London: Drive Publications Ltd.
Del Olmo, Diego, Pavelka, Michal and Kosek, Juraj (2021), Open-Circuit Voltage Comes from Non-Equilibrium Thermodynamics" Journal of Non-Equilibrium Thermodynamics, 46(1), 91-108, https://doi.org/10.1515/jnet-2020-0070
Maria Skyllas-Kazacos and Michael Kazacos, (2011), State of charge monitoring methods for vanadium redox flow battery control, J. Power Sources196, 20, 8822–8827
Badrilal Mathur, (2009), Effect of shading on series and parallel connected solar PV modules, Modern Applied Science, 3(10), 32-41
S. E. A. Yousif, A. Fotouhi, D. J. Auger and K. Propp (2017), Self-discharge effects in lithium-sulfur equivalent circuit networks for state estimation, Journal of the Electrochemical Society, 165 A6081
Thi Minh Phuong Nguyen (2009) Lead acid batteries in extreme conditions: accelerated charge, maintaining the charge with imposed low current, polarity
interventions introducing non-conventional charge methods. Other. Université Montpellier II - Sciences et Techniques du Languedoc, 2009. E
D. Berndt, (1997), Maintenance-Free batteries, Second ed. Taunton, Somerset, New York, Chichester, Toronto, Brisbane, Singapore: Research studies press LTD, John Wiley & Sons Inc.
Arrinda, Mikel, Mikel Oyarbide, Haritz Macicior, Eñaut Muxika, Hartmut Popp, Marcus Jahn, Boschidar Ganev, and Iosu Cendoya. 2021. "Application Dependent End-of-Life Threshold Definition Methodology for Batteries in Electric Vehicles" Batteries 7,(1), 12.
Abdoulatif Bonkaney, Saïdou Madougou, and Rabani Adamou, (2017), Impacts of Cloud Cover and Dust on the Performance of Photovoltaic Module in Niamey", Journal of Renewable Energy, 2017, Article ID 9107502, 8 pages, 2017
Christophe Savard and Emiliia V. Iakovleva, (2019), A Suggested Improvement for Small Autonomous Energy System Reliability by Reducing Heat and Excess Charges, Batteries, 5(1), 29.
Sung, Won & Park, Kyu-Young & Lee, Myeong & Moon, Sehwan & Oh, Kyungbae & Park, Hyeokjun & Sechan, Lee & Kang, Kisuk. (2018). Abnormal self-discharge in lithium-ion batteries. Energy & Environmental Science. 11. 10.1039/C8EE00186C.
José Haroldo da Costa Bentes Júnior, Rodson Henrique Hatahara da Fonseca, Livia da Silva Oliveira, Marcela Sávia Picanço Pessoa & David Barbosa de Alencar (2019). A solar powered electronic device charging station. International Journal for Innovation Education and Research. 7. 1020-1029.
Jefry Mora & Dario Amara,(2018), Modelling and simulation of a photovoltaic solar system with lead-acid battery, International Journal of Applied Engineering Research, 15(16), 12827-12831
Li, A., Pelissier, S., Venet, P., & Gyan, P. (2016). Fast characterization method for modeling battery relaxation voltage. Batteries, 2(2), 7.
Roscher, M.A.; Sauer, D.U. (2011) Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries. J. Power Sources 2011(196), 331–336.
Gladstone JH, Tribe A (1882) The chemistry of the Plante and Faure accumulators. J Frankl Inst 114(3):219–233
Rüetschi P, Angstadt RT (1958) Self-discharge reactions in lead-acid batteries. J Electrochem Soc 105(10):555–563
H. Wenzi, (2009), Self-discharge, Battery, 407-412
Henry Catherino, Peter Shi, Andrew Rusek & Fred Feres (2002). Self-discharging of lead-acid batteries. SAE Technical Paper Series. 2000-01-0305. 776-4841. 10.4271/2000-01-0305.
D. Berndt, (1997) Maintenance free batteries,” John Wiley & Sons, 115-120.
