Vehicle component selection method

A vehicle component selection method that selects a driving force transmitting component to be installed in a vehicle,

• wherein the driving force transmitting component is arranged in a power transmission path from a power source of the vehicle to drive wheels,
• wherein a plurality of the driving force transmitting components of the same kind is categorized into a plurality of groups in accordance with a frequency range in which an operation sound is the loudest,
• wherein a component selection device stores mapping data that is data that defines mapping learned by machine learning,
• wherein the mapping uses, as an input variable, user-related information that is information regarding a user, and when the input variable is input, the mapping outputs a value corresponding to the input variable as an output variable,
• wherein the output variable is a value that identifies a group in which the driving force transmitting component is categorized among the groups, the driving force transmitting component having a characteristic in which an operation sound of another frequency range is louder than an operation sound of a frequency range that the user identified by the user-related information feels most uncomfortable about, and
• wherein the component selection device is caused to execute
• an input process that inputs the user-related information into the mapping as the input variable,
• a selection process that selects the group corresponding to the output variable output by the mapping from the groups, and
• a determination process that determines the driving force transmitting component categorized into the group selected in the selection process as a component to be installed in the vehicle for the user identified by the user-related information.