Powertrain control system
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United States of America Patent
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Jan 23, 2018
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app pub date -
Aug 26, 2014
filing date -
Sep 27, 2013
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Abstract
Systems and methods are described for powertrain controls optimization. One method comprises adaptively learning engine settings for a sparse sample of a speed-load map, which includes engine operation at boundary conditions of a speed-load map, and generating a dynamic node look-up table based on the learned engine settings for the sparse sample. The dynamic node look-up table may provide engine settings for engine operation at speed-load points not explicitly learned during the adaptive learning.
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