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Technical Paper

Reliability Analysis of Data with No Failure from Fleet and Proving Ground Endurance Tests

1992-02-01
920773
The reliability of an electronic sensor in the automotive applications is assessed using data from Fleet Test and proving ground Vehicle Endurance test. These nonfailure data are multiply censored at different mileage. Reliability analysis of data with no failure is rarely discussed in most reliability literature. This paper applies the Weibull maximum likelihood analysis based on known values of the Weibull shape parameter to extract useful reliability information. The well-known Weibayes and Weibest methods are subsets of the discussed approach. The sensitivity of the change of reliability levels over a range of Weibull shape parameter values is also examined in our case. The Huang-Porter (1991) approach of obtaining a reliability lower bound regardless of the Weibull shape parameter values is also applied and its potential of practical application is discussed. Practical limitations of all methods are discussed.
Technical Paper

Running Loss Test Procedure Development

1992-02-01
920322
A running loss test procedure has been developed which integrates a point-source collection method to measure fuel evaporative running loss from vehicles during their operation on the chassis dynamometer. The point-source method is part of a complete running loss test procedure which employs the combination of site-specific collection devices on the vehicle, and a sampling pump with sampling lines. Fugitive fuel vapor is drawn into these collectors which have been matched to characteristics of the vehicle and the test cell. The composite vapor sample is routed to a collection bag through an adaptation of the ordinary constant volume dilution system typically used for vehicle exhaust gas sampling. Analysis of the contents of such bags provides an accurate measure of the mass and species of running loss collected during each of three LA-4* driving cycles. Other running loss sampling methods were considered by the Auto-Oil Air Quality Improvement Research Program (AQIRP or Program).
Technical Paper

Network I/O and System Considerations

1995-02-01
950036
The J1850 bus requirements promote an unique and well characterized physical layer behavior developed through the learning curve of previous multiplex solutions. Design requirements such as: 1) Reliably interconnecting all of the vehicle's most complex modules, 2) Consistently withstanding the vehicle's harsh environment, and 3) Meeting SAE's functionality requirements, were all a formidable task to achieve. This paper will highlight the path taken to achieve a J1850 Bus interface which successfully met all of the design and functional goals. Chrysler's C2D insights will be discussed and related to goals for J1850. Other design considerations will also be discussed such as EMC issues, custom test equipment, and vehicle and component testability. In turn, silicon processes with special structures and topologies will be discussed relating the specific design with the needed electrical behavior. The HIP7020 J1850 BUS TRANSCEIVER I/O for MULTIPLEX WIRING accomplishes these requirements.
Technical Paper

OPNET J1850 Network Simulator

1995-02-01
950037
MIL 3's OPNET simulator was used to model Chrysler's J1850 bus. Modeled were both J1850 bus characteristics and those portions of control modules (e.g., the engine controller) which communicate on the bus. Current Chrysler control module algorithms and proposed Chrysler J1850 message formats were used to design the control module models. The control module models include all messages which are transmitted at fixed intervals over the J1850 bus. The effects of function-based messages (e.g., messages to be transmitted on a particular sensor or push-button reading) on system load were investigated by transmitting an additional message with a fixed, relatively high priority at 50 millisecond intervals.
Technical Paper

Changes in Reliability During the Design and Development Process of a Vehicle's Electrical/Electronic Systems

1995-02-01
950826
The changes in reliability of the Electrical/Electronic Systems of a vehicle-line during its early design and development engineering processes have been studied. A computerized vehicle failure tracking system was used to provide results from several stages of early development vehicle testing at the proving grounds. The data were analyzed using a software program that assumes that failures in a repairable system, such as a car, occur as a nonhomogeneous Poisson process. Results suggest that, under normal circumstances, a significant and quantitative improvement in reliability is achievable as the system or component design progresses through the early design and development processes. This also provides a means of predicting future system(s) reliability when the system(s) is in production.
Technical Paper

The Processes and Technologies Used in the Design, Build, and Test of the Dodge Stratus Super Touring Car

1996-12-01
962505
Chrysler is a company run by automotive enthusiasts, and its motorsports programs are an integral part of the company's corporate, brand, and product development process. Chrysler's motorsports programs are executed from within its Platform Team system by the same engineers, using the same processes and facilities as production vehicle programs. This results in teaching and inspiring engineers, designers, and technicians, as well as providing genuine technical benefits to the company. This paper tells the “how” story of the design, build, and test of the Dodge Stratus Super Touring Car. Detailed results have been purposely omitted from the paper due to the competitive nature of motor racing.
Technical Paper

Developments in Dynamometer Control Methods

1972-02-01
720453
The application of automation to dynamometer testing of engines has led to the development of specialized circuits and techniques to compensate for limitations inherent within the electromechanical systems used to implement automation theory. Stable, quick response to a programmed speed change has been achieved for engine-automatic transmission testing by the use of a parallel feedback technique. Vehicle simulation using analog computer circuitry and road test data is used to calculate torque requirements from programmed acceleration-time and velocity-time curves. Similar circuitry is used to calculate engine-transmission output torque from dynamometer parameters.
Technical Paper

There's Gold in Your Dirt

1962-01-01
620125
Building maintenance and sanitation provides economic opportunities for good management through an Industrial Engineering approach. The Engineering Div. of Chrysler Corp. gained million dollar savings with these methods. This Industrial Engineering approach is indicated by its sanitation program which includes work sampling, methods development, performance goals, measurement of what is to be cleaned, work load determination, detailed schedules, detailed material control, quality measurement, supervisory training, employee training, and detailed supervisory follow-up. Although valuable individually, these methods together provide a gold mine for progress and cost saving.
Technical Paper

Determination of Coastdown Mechanical Loss Ambient Correction Factors for use with J2263 Road Tests

1997-02-24
970269
Testing for vehicle emissions and fuel economy certification occurs primarily on chassis dynamometers in a laboratory setting and therefore the actual road conditions, such as forces due to tire rolling resistance and internal friction, must be simulated. Test track coastdown procedures measure vehicle road load forces and produce an equation which relates these forces to velocity. The recent inclusion of onboard anemometry has allowed the coastdown procedure to account for varying wind effects; however, the new anemometer based mechanical loss coefficients do not take into account ambient weather conditions. The two purposes of this study are (1) to determine the new tire rolling resistance temperature correction coefficient that should be used when test ambient temperature is different from the standard reference value of 68°F, and (2) to investigate the effects of auxiliary measurements, such as other ambient conditions and vehicle settings, on this correction coefficient.
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