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Technical Paper

Component and System Life Distribution Prediction Using Weibull and Monte Carlo Analysis with Reliability Demonstration Implications for an Electronic Diesel Fuel Injector

2003-03-03
2003-01-1363
This paper presents a methodology to predict component and system reliability and durability. The methodology is illustrated with an electronic diesel fuel injector case study that integrates customer usage data, component failure distribution, system failure criteria, manufacturing variation, and variation in customer severity. Extension to the vehicle system level enables correlation between component and system requirements. Further, this analysis provides the basis to establish a knowledge-based test option for a success test validation program to demonstrate reliability.
Technical Paper

Economic Analysis of Powertrain Control Technologies

2002-10-21
2002-21-0035
Regulatory and market pressures continue to challenge the automotive industry to develop technologies focused on reducing exhaust emissions and improving fuel economy. This paper introduces a practical model, which evaluates the economic value of various technologies based on their ability to reduce fuel consumption, improve emissions or provide consumer benefits such as improved performance. By evaluating the individual elements of economic value as viewed by the OEM manufacturer, while keeping the end consumer in mind, technology selection decisions can be made. These elements include annual fuel usage, vehicle performance, mass reduction and emissions, among others. The following technologies are discussed and evaluated: gasoline direct injection, variable valvetrain technologies, common-rail diesel and hybrid vehicles.
Technical Paper

Air Conditioning and Gas Guzzler Tax Credits

2002-06-03
2002-01-1958
Rising fuel prices at the pump has consumers taking a closer look at the actual fuel economy they get versus the general label values stated on the vehicle window sticker. The label values are calculated by applying fixed correction factors to the city and highway fuel economy test results. The purpose of the correction factors is to convert the results generated under laboratory conditions into values that can be expected by customers. Because of today's fuel economy labeling method, the differences between some new accessory drive component technologies are never reflected to the end consumer. For example, the air conditioning is not used during the fuel economy test. Instead it is lumped into this fixed correction factor. The purpose of this paper is to provide an overview of the magnitude of the air conditioning compressor load as compared to some other accessory drive loads and what causes these loads to vary.
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