Preliminary research on electrochemical batteries in variable environmental conditions

• Autorzy: Chmielewski A.

Warianty tytułu

PL

Badania wstępne akumulatorów elektrochemicznych w zmiennych warunkach środowiskowych

• Języki publikacji: EN

Abstrakty

EN

The paper presents the preliminary tests of the Valve Regulated Lead-Acid (VRLA) battery in a specific load cycle at different ambient temperatures. The tests were carried out in the environmental chamber. The paper presents the effect of value changes of the ambient temperature at a constant load current on the value of voltage at the battery terminals, the temperature at the terminals as well as the temperature value on the battery body. Based on the tests that were carried out, it was found that the lower the ambient temperature value, the lower the useful capacity of the VRLA battery.

PL

W artykule przedstawione zostały wstępne badania akumulatora VRLA w statycznym cyklu obciążeniowym przy różnych temperaturach otoczenia. Badania przeprowadzone zostały w komorze klimatycznej W pracy przedstawiono wpływ zmiany wartości temperatury otoczenia przy stałej wartości prądu obciążeniowego na wartość napięcia na zaciskach akumulatora, wartość temperatury na zaciskach a także wartość temperatury na obudowie akumulatora. Na podstawie przeprowadzonych badań wykazano, że im niższa jest wartość temperatury otoczenia tym niższa jest wartość pojemności użytecznej akumulatora.

Słowa kluczowe

EN

variable environmental conditions; electrochemical battery; experimental research; environmental chamber

PL

warunki zmienoośrodowiskowe; akumulator elektrochemiczny; badania stanowiskowe; komora klimatyczna

• Wydawca: Instytut Pojazdów Politechniki Warszawskiej
• Czasopismo: Zeszyty Naukowe Instytutu Pojazdów / Politechnika Warszawska
• Rocznik: 2018
• Tom: z. 2/116
• Strony: 55--61
• Opis fizyczny: Bibliogr. 31 poz., rys.

Twórcy

autor

Chmielewski A.

• Institute of Vehicles, Warsaw University of Technology

Bibliografia

• [1] Krivík P., Vanýsek P. Changes of temperature during pulse charging of lead acid battery cell in a flooded state, Journal of Energy Storage, Vol. 14, pp. 364–371, 2017.
• [2] Nayaka C. K., Nayakb M. R., Behera R. Simple moving average based capacity optimization for VRLA battery in PV power smoothing application using MCTLBO, Journal of Energy Storage, Vol. 17, pp. 20–28, 2018.
• [3] Kujundzic G., Ileš Š., Matuško J., Vašak M. Optimal charging of valve-regulated lead-acid batteries based on model predictive control, Applied Energy, Vol. 187, pp. 189–202, 2017.
• [4] Fairweather A.J., Foster M.P., Stone D.A. Modelling of VRLA batteries over operational temperature range using Pseudo Random Binary Sequences, Journal of Power Sources, Vol. 207, pp. 56–59, 2012.
• [5] Maya G. J., Davidson A., Monahov B. Lead batteries for utility energy storage: A review, Journal of Energy Storage, Vol. 15, pp.145–157, 2018.
• [6] Belmokhtara K., Ibrahima H., Fégera Z., Ghandour M. Charge Equalization Systems for Serial Valve Regulated Lead-Acid (VRLA) Connected Batteries in Hybrid Power Systems Applications Energy Procedia, Vol. 99, pp. 277–284, 2016.
• [7] Franke M., Kowal J. Empirical sulfation model for valve-regulated lead-acid batteries under cycling operation, Journal of Power Sources, Vol. 380, pp. 76–82, 2018.
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• [12] Liu Y., Meng Y., Lu Z., Gao X. Z. An Incremental Updating Method for Online Monitoring State-of-Health of VRLA Batteries, 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 978-1-5386-1829-5/17/$31.00 c 2017 IEEE.
• [13] Chmielewski A., Bogdziński K., Gumiński R., Szulim P., Piórkowski P., Możaryn J., Mączak J., Operational research of VRLA battery, Springer, Advances in Intelligent Systems and Computing, AUTOMATION 2018, Vol. 743, pp. 783–791, 2018.
• [14] Możaryn J., Chmielewski A., Selected Parameters Prediction of Energy Storage System Using Recurrent Neural Networks, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, IFAC-PapersOnLine, Elsevier, (2018) [In print]
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• [16] Chmielewski A., Gumiński R., Bogdziński K., Mydłowski T., Mączak J., Możaryn J., Piórkowski P., Selected properties of the hybrid micro–installation model based on electrochemical battery and PV module, International Journal of Structural Stability and Dynamics, 2018 [In print]
• [17] Chmielewski A., Gontarz S., Gumiński R., Mączak J., Szulim P. Badania elektrochemicznych magazynów energii (Research on electrochemical energy stores), Przegląd Elektrotechniczny, No. 10, pp. 231-234, 2016.
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• [20] Chmielewski A., Gontarz S., Szulim P. Modelowo-wsparte badania elektrochemicznych magazynów energii (Model-based research on electrochemical energy storage systems), Rynek Energii, Nr 5, Vol. 126, pp. 37-45, 2016.
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• [29] Chmielewski A., Piórkowski P., Gumiński R., Bogdziński K., Model-based research on ultracapacitors, Springer, Advances in Intelligent Systems and Computing, AUTOMATION 2018, Vol. 743, pp. 254–264, 2018.
• [30] Chmielewski A., Możaryn J., Piórkowski P., Gumiński R., Bogdziński K., Modelling of Ultracapacitors using Recurrent Artificial Neural Network, Springer, Advances in Intelligent Systems and Computing, AUTOMATION 2018, Vol. 743, pp. 713–723, 2018.
• [31] Jankowska E., Kopciuch K., Błażejczyk M., Majchrzycki W., Piórkowski P., Chmielewski A., Bogdziński K., Hybrid energy storage based on ultracapacitor and lead acid battery: case study, Springer, Advances in Intelligent Systems and Computing, AUTOMATION 2018, Vol. 743, pp. 339–349, 2018.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).