Offline Tuning of Calibrations for Automotive Control Strategies

In traditional way of calibration methods, it is required to have large numbers of dynometertests in order to find out the best calibration value. The manual effort increases with more number of inputs, dependency on the one to many outputs, calibrations, surface maps and larger range of values. Moreover, the calibration values obtained by such method may not be the best. This paper proposes the workflow for obtaining optimal tuning parameter which endeavors to improve the manual process coupled with an automated process. Auto calibration tool, with the use of optimization functions tunes the calibrations and calculate the best optimized value of the calibrations based upon the already existing test data. It is then possible to use these tuned values of calibrations for the final dynometer test. This method although not aimed at eliminating dynometer tests, it is saving human efforts along with resources like time and fuel consumption.