A comprehensive cell-level compatibility test was conducted on 30 each cells for more than 8 months. Data from the testing were analyzed using a computerized statistical model to establish a confidence level on capacity and life and to determine if the model were a valid tool for future test evaluation and for real-time mission energy status monitoring. The dependent variable in the regression equation was battery capacity with statistically significant independent variables: time since activation, charge/discharge cycles, discharge rate, and operating temperature. The sample consisted of 144 measurements of each variable with the resulting data analyzed using a standard 'personal computer' and commercially available software. This paper describes the methodology, testing, and rationale for the statistical model. It discusses in detail the variables, the estimated regression equation, coefficients, and the statistical significance of same. The main purpose of this paper is to provide useful data on rechargeable AgZn batteries for space applications and offer a powerful, inexpensive analytical tool to the aerospace energy industry.
Estimating performance characteristics of rechargeable silver-zinc (AgZn) batteries for space applications using multiple regression analysis
Abschaetzung der Leistungskenngroessen von wiederaufladbaren Silber-Zink (AgZn)-Batterien fuer die Raumfahrt mit Hilfe multipler Regressionsanalyse
1986
5 Seiten, 6 Bilder, 4 Tabellen, 3 Quellen
Conference paper
English
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