Driving Cycle Equivalence and Transformation
There is a current strong trend where driving cycles are used
extensively in vehicle design, especially for calibration and tuning
of all powertrain systems for control and diagnosis. In such
situations it is essential to capture real driving, and therefore
using only a few driving cycles would lead to the risk that a test or
a design would be tailored to details in a specific driving
cycle. Consequently there are now widespread activities using
techniques from statistics, big data and mission modeling to address
these issues. For all such methods there is an important final step to
calibrate a representative cycle to adhere to fair propulsion
requirements on the driven wheels over a cycle. For this a general
methodology has been developed, applicable to a wide range of problems
involving driving cycle transformations. It is based on a definition
of equivalence for driving cycles that loosely speaking defines being
similar without being the same. Based on this, a set of algorithms are
developed to transform a given driving cycle into an equivalent one,
or into a cycle with given equivalence measure. The transformations
are effectively handled as a nonlinear program that is solved using
general purpose optimization techniques. The proposed method is
general and a wide range of constraints can be used.
Peter Nyberg, Erik Frisk and Lars Nielsen
IEEE Transactions on Vehicular Technology,
2017
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