Tires represent a crucial leverage for reducing CO2 emissions: in the future, the importance of analyzing power losses under real-vehicle-driving conditions and conflicts between optimizing power loss, longitudinal dynamics, lateral dynamics, and comfort will increase.

The objective of the present study is to develop both the set of physical characteristic values (CV-set) and the genetic algorithm used to generate Magic Formula parameter sets that have the desired physical characteristics. To this purpose, improvements concerning the genetic algorithm are presented and a definition for the power loss of tires is derived and validated through measurements on an outer drum test bench. Then, four physical characteristic values describing the power loss are added to the existing CV-set. This CV-set, in combination with a genetic algorithm, allows us to generate virtual tires (e.g., Magic Formula model) with defined physical characteristics of longitudinal force, lateral force, aligning moment, and power loss.

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