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Probabilistic Evaluation of Automotive Cold Cranking Performance
ISSN: 0148-7191, e-ISSN: 2688-3627
Published February 01, 1991 by SAE International in United States
Annotation ability available
A probabilistic model proposed by Wang (1990) is summarized and extended to quantify the approximate cranking probability at a specified confidence level. The criterion for acceptance is the ability of a randomly selected starter/battery set which delivers acceptable cold cranking performance on a specified engine application above a minimum targeted speed required to start. The model serves as a decision-making tool for engineers to (1) verify existing cranking system performance, (2) assess new combinations of existing cranking components, (3) evaluate the performance of newly developed cranking components, and (4) provide functional requirements of starter/battery sets for component sizing purposes. The model can be applied to perform trade-off analyses of cranking system performance with test results or computer simulation conclusions. An example is discussed and engineering usage is illustrated. A sensitivity analysis is performed under the uncertainty of engine variability due to small testing sample size. Future research direction is also recommended.
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CitationWang, C. and Misiti, P., "Probabilistic Evaluation of Automotive Cold Cranking Performance," SAE Technical Paper 910358, 1991, https://doi.org/10.4271/910358.
- Courtney, R. L. and Putansu R. J., “Laboratory Techniques for Determining Engine Cranking Characteristics,” SAE paper 716A, presented at SAE International Summer Meeting, Montreal, Canada, June 10-14, 1963.
- Wang, C. J., “A Probabilistic Model for Vehicle Cranking Performance,” Transactions of the ASQC 44th Annual Quality Congress (AQC), San Francisco, CA, May 14-16, 1990, pp. 887-892.
- Hald, A., Statistical Theory with Engineering Applications, 3rd printing, John Wiley & Sons, 1957, pp. 311-316.
- Kapur, K. C. and Lamberson L. R., Reliability in Engineering Design, John Wiley & Sons, Inc., 1977.
- Lloyd, D. K. and Lipow M., Reliability: Management, Methods, and Mathematics, 2nd edition, available from ASQC Quality Press, 1979.
- Duncan, A. J., Quality Control and Industrial Statistics, 5th edition, IRWIN, Inc., 1986.
- Encyclopedia of Statistical Sciences, edited by Kotz S. and Johnson N. L., Vol. 9, Wiley & Sons, 1988, p. 236.
- Encyclopedia of Statistical Sciences, edited by Kotz S. and Johnson N. L., Vol. 1, Wiley & Sons, 1988, p. 434.
- Miller, R., “Parametric Empirical Bayes Tolerance Intervals,” Technometrics, Vol. 31, No. 4, 1989, pp. 449-459.