Title: Accounting for driver variability in vehicle powertrain durability testing

Authors: Yung-Li Lee, Salman Haq, John T. Rilly, Ronald L. DiDomenico

Addresses: DaimlerChrysler Corporation, Stress Lab & Durability Development, Auburn Hills, MI 48326-2757, USA. ' DaimlerChrysler Corporation, Stress Lab & Durability Development, Auburn Hills, MI 48326-2757, USA. ' DaimlerChrysler Corporation, Stress Lab & Durability Development, Auburn Hills, MI 48326-2757, USA. ' DaimlerChrysler Corporation, Stress Lab & Durability Development, Auburn Hills, MI 48326-2757, USA

Abstract: Fundamental technical information and analytical methodology useful in vehicle powertrain durability testing are discussed. The durability testing in a laboratory is designed to correlate to vehicle proving grounds (PG) in terms of fatigue damage. A PG loading history is often acquired by running an instrumented vehicle in one of the repeated PG events with various drivers. The statistical technique to identify a median or an extreme loading profile from a given set of PG loading histories and the algorithm to extrapolate one short-term measured load data to the expected long-term loads are reviewed. The measured load time history is converted to either a rainflow cycle counting histogram for use of a component bench test development or a rotating moment histogram for use of a powertrain gear set durability testing. Damage analysis is then performed in the histogram domain for the durability of a powertrain component and system.

Keywords: cycle extrapolation; damage; durability testing; dynamometer; fatigue damage; proving grounds; quantile extrapolation; rainflow cycle counting; rotating moment histogram; variability; vehicle powertrain; load time; gear set.

DOI: 10.1504/IJMPT.2002.005469

International Journal of Materials and Product Technology, 2002 Vol.17 No.5/6, pp.434 - 452

Published online: 11 Oct 2004 *

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