Abstract:Most practical automotive problems require the design of experiments (DoE) over a number of different operating conditions to deliver optimal calibration parameters. DoE is especially crucial for automotive engine calibration problems due to its increasing complexity and nonlinearity. As the complexity of the system increases, the DOE applications require a significant amount of expensive testing. However, only a limited number of testings are available and desired. The current work addresses this issue by pre… Show more
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