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The methods used to cope with the simultaneous development of the Electronics Integration Test Station (EITS) hardware and software in conjunction with its Test Target hardware and software are reviewed. The EITS provides a system level test facility for conducting hardware-in-the-loop (HIL) evaluations on vehicle electronic control systems. The development methods feature, formal hardware and software requirements documentation, formal software development, an iterative build process, and electronic capture of test incidents for analysis, verification and problem resolution. The application of the software development environment including the requirements management tools, and object oriented design tools is discussed within the context of the development methodology.

The system level requirements for the Electronics Integration Test Station (EITS) are reviewed. EITS provides capabilities for system level testing of a variety of heavy-duty vehicle electronic control module configurations. EITS provides a hardware-in-the-loop (HIL) test facility at the system level, permitting the development of integration experiments as individual control system modules are added to the complement of modules being tested. The evaluation needs, which drive system-level testing of control system performance for systems of heavy-duty vehicle electronic control modules, are discussed. Implementation issues leading to system level requirements are also discussed.

The accurate prediction of commercial-vehicle ride and handling performance with computer simulation tools is dependent on the level of correlation between the computer model and experimental data. Correlating vehicle attributes to physical test data is often challenging due to the large number of degrees of freedom - and, correspondingly, the large number of tunable parameters - typically required to accurately model vehicle behavior. A high level of interaction between input parameters and vehicle attributes further complicates the task. As a result, this type of correlation is a multi-objective optimization exercise in which the judicious planning of supporting test activity is critical to achieving the right level of model accuracy with an acceptable amount of resource investment. This paper discusses the methodology implemented in the validation of a tractor-semitrailer ADAMS model for both ride and handling simulations and presents the results obtained.