A method for carrying out a learning function is described, which is used to provide at least one correction value to compensate for at least one nominal value deviation of at least one component of a motor vehicle. At least one characteristic is ascertained in the case of at least one defined operating state of the motor vehicle with the aid of the learning function and used to determine the at least one correction value. The method includes prompting a driver of the motor vehicle to operate the motor vehicle in the at least one defined operating state. A system for implementing a corresponding method is also described.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for performing a learning function, the method comprising: ascertaining at least one characteristic of at least one defined operating state of the motor vehicle with the aid of the learning function, which is used to provide at least one correction value to compensate for at least one nominal value deviation of at least one component of a motor vehicle; and prompting a driver of the motor vehicle to operate the motor vehicle in the at least one defined operating state. 2. The method of claim 1, wherein the driver is prompted to operate the motor vehicle in the least one defined operating state during at least one learning operation period of time. 3. The method of claim 1, wherein the driver is prompted to operate the motor vehicle in the at least one defined operating state with the aid of a user information system. 4. The method of claim 3, wherein the driver is prompted to operate the motor vehicle in the at least one defined operating state with the aid of at least one of a visual arrangement and an acoustic arrangement. 5. The method of claim 1, wherein the at least one defined operating state includes at least one of a defined speed range, a defined velocity range, a defined gear selection, a defined throttle valve position, a defined activation state of at least one onboard electrical system consumer, an overrun phase, and at least one combination of the aforementioned operating features. 6. The method of claim 1, which also includes ascertaining a probability that the motor vehicle is operable in the at least one defined operating state in a following time window, wherein the driver is only prompted to operate the motor vehicle in the at least one defined operating state when the probability exceeds a predefined value. 7. The method of claim 6, wherein at least one of route data and traffic data are ascertained to ascertain the probability. 8. The method of claim 1, wherein the driver is made aware of a success in ascertaining the at least one characteristic in the case of the at least one defined operating state with the aid of the learning function and/or a success in determining the at least one correction value. 9. The method of claim 1, wherein the learning function is used to compensate for at least one nominal value deviation of at least one component of the internal combustion engine of the motor vehicle, at least one characteristic being ascertained in the case of at least one defined operating state of the internal combustion engine of the motor vehicle with the aid of the learning function and being used to determine the at least one correction value. 10. The method of claim 1, wherein the learning function is used to compensate for a nominal value deviation of an injection quantity and/or a zero fuel quantity of at least one injector, at least one cylinder internal pressure, at least one boost pressure, at least one air flow, and/or at least one air quantity. 11. A motor vehicle, comprising: a learning function arrangement to perform a learning function, which is used to provide at least one correction value to compensate for at least one nominal value deviation of at least one component of the motor vehicle; an ascertaining arrangement to ascertain at least one characteristic being of at least one defined operating state of the motor vehicle with the aid of the learning function and being usable to determine the at least one correction value; and a prompting arrangement to prompt a driver of the motor vehicle to operate the motor vehicle in the at least one defined operating state. 12. A control unit of a motor vehicle, comprising: a processor arrangement configured to perform a learning function by performing the following: ascertaining at least one characteristic of at least one defined operating state of the motor vehicle with the aid of the learning function, which is used to provide at least one correction value to compensate for at least one nominal value deviation of at least one component of a motor vehicle; and prompting a driver of the motor vehicle to operate the motor vehicle in the at least one defined operating state. 13. A computer readable medium having a computer program, which is executable by a processor, comprising: a program code arrangement having program code for performing a learning function, by performing the following: ascertaining at least one characteristic of at least one defined operating state of the motor vehicle with the aid of the learning function, which is used to provide at least one correction value to compensate for at least one nominal value deviation of at least one component of a motor vehicle; and prompting a driver of the motor vehicle to operate the motor vehicle in the at least one defined operating state. 14. The computer readable medium of claim 13, wherein the driver is prompted to operate the motor vehicle in the least one defined operating state during at least one learning operation period of time. 15. The computer readable medium of claim 13, wherein the driver is prompted to operate the motor vehicle in the at least one defined operating state with the aid of a user information system. 16. The computer readable medium of claim 15, wherein the driver is prompted to operate the motor vehicle in the at least one defined operating state with the aid of at least one of a visual arrangement and an acoustic arrangement. 17. The computer readable medium of claim 13, wherein the at least one defined operating state includes at least one of a defined speed range, a defined velocity range, a defined gear selection, a defined throttle valve position, a defined activation state of at least one onboard electrical system consumer, an overrun phase, and at least one combination of the aforementioned operating features. 18. The computer readable medium of claim 13, which also includes ascertaining a probability that the motor vehicle is operable in the at least one defined operating state in a following time window, wherein the driver is only prompted to operate the motor vehicle in the at least one defined operating state when the probability exceeds a predefined value. 19. The computer readable medium of claim 18, wherein at least one of route data and traffic data are ascertained to ascertain the probability. 20. The computer readable medium of claim 13, wherein the driver is made aware of a success in ascertaining the at least one characteristic in the case of the at least one defined operating state with the aid of the learning function and/or a success in determining the at least one correction value. 21. The computer readable medium of claim 13, wherein the learning function is used to compensate for at least one nominal value deviation of at least one component of the internal combustion engine of the motor vehicle, at least one characteristic being ascertained in the case of at least one defined operating state of the internal combustion engine of the motor vehicle with the aid of the learning function and being used to determine the at least one correction value. 22. The computer readable medium of claim 13, wherein the learning function is used to compensate for a nominal value deviation of an injection quantity and/or a zero fuel quantity of at least one injector, at least one cylinder internal pressure, at least one boost pressure, at least one air flow, and/or at least one air quantity.