A Probabilistic Model for Vehicle Cranking Performance


Wang, Cheng Julius   (1990, ASQC)   Chrysler Corp., Highland Park, MI

Annual Quality Congress, San Francisco, CA    Vol. 44    No. 0
QICID: 9563    May 1990    pp. 887-892
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Article Abstract

A generic probabilistic model is proposed to calculate the approximate probability with a specified confidence level that a randomly selected starter/battery combination delivers acceptable cranking performance on a specified engine application. The criterion for acceptance is the ability of the system, which is measured by demanded probability and confidence levels, to crank the engine above a targeted minimum speed required to start the engine under a certain temperature. The model aids the decision-making process of assessing the performance of different cranking systems for component sizing purposes. An example and the practical engineering usefulness of the model are discussed. The formulation of an optimization model is exercised and briefly examined such that the required level for probability of cranking can be attained with a minimum cost.


Automobile industry

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