Systems, methods, and computer-readable storage media for using multi-stage machine learning algorithms to optimize tire contact patches on a vehicle. Vehicle sensors first collect vehicle information for the vehicle, and input that data into a first machine learning algorithm. The first machine learning algorithm then outputs a lateral dimension, a longitudinal dimension, and a diagonal dimension, which together identify a tire contact patch of at least one tire on the vehicle. The operator of the vehicle provides a human preference for how the vehicle operates, and a second machine learning algorithm is executed. The second machine learning algorithm inputs can include the plurality of vehicle information, the first machine learning algorithm outputs, and the human preference, and the second machine learning algorithm outputs can include a desired tire pressure of the at least one tire and an air suspension adjustment for the normal load of the vehicle.
SYSTEM AND METHOD FOR TIRE CONTACT PATCH OPTIMIZATION
2023-11-09
Patent
Electronic Resource
English
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