The choice of the mathematical method for prediction of electrochemical accumulator parameters value in power installations of space-rocket objects
The review and analysis of several mathematical methods for prediction of electrochemical accumulator parameters are provided in the article: according to the mathematical expectation, the latest entry, a statistical prediction, Box–Jenkins model, decomposition Volta, ARMA, ARIMA and Kalman filter....
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Veröffentlicht in: | Journal of power sources 2013-11, Vol.242, p.365-370 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The review and analysis of several mathematical methods for prediction of electrochemical accumulator parameters are provided in the article: according to the mathematical expectation, the latest entry, a statistical prediction, Box–Jenkins model, decomposition Volta, ARMA, ARIMA and Kalman filter. The results of these methods for prediction of the electrochemical battery 22НКГ-4CK characteristics which is a part of spacecraft power plant of the “Mikrosputnik” type are given. Possible usage of these methods for long prediction of electrochemical accumulator characteristics on space-rocket objects power plants is showed.
•We reviewed several mathematical methods for prediction.•We analyzed the use of methods for prediction of the performance of batteries.•Long prediction of minimum voltage of nickel–cadmium battery was conducted.•For prediction of batteries performance of space objects was selected Kalman filter. |
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ISSN: | 0378-7753 1873-2755 |
DOI: | 10.1016/j.jpowsour.2013.04.120 |