Method for checking a vehicle dynamics model

1. A method for checking a vehicle dynamics model of a vehicle, with which a value of an output variable is ascertainable from a value of a variable input variable, the method being executed on a processing unit installed in the vehicle which is coupled to a steering angle sensor of the vehicle and to a yaw-rate sensor of the vehicle, and the method comprising the following steps:

during operation of the vehicle as the vehicle is driving and in real-time, performing the following steps:

detecting using the steering angle sensor of the vehicle, a plurality of steering angles of the vehicle;

for multiple values of the input variable, ascertaining respectively associated model-based values of the output variable using the vehicle dynamics model, wherein the multiple values of the input variable are the plurality of steering angles detected by the steering angle sensor;

for the multiple values of the input variable at the vehicle, ascertaining, in parallel with the detecting using the steering angle sensor, respectively associated vehicle-based values of the output variable, wherein the vehicle-based values of the output variable are ascertained using the yaw-rate sensor of the vehicle;

respectively ascertaining difference values for mutually corresponding ones of the model-based values and the vehicle-based values;

comparing an updated dataset of the ascertained difference values with a comparison dataset using a comparison method and ascertaining a concordance measure based on the comparing;

determining the vehicle dynamics model to be valid based on the concordance measure meeting a predefined concordance criterion; and

based on determining the vehicle dynamics model to be valid, using the vehicle dynamics model by a driver assistance function of the vehicle;

wherein the vehicle dynamics model predicts a behavior of the vehicle based on the plurality of detected steering angles.

2. The method as recited in claim 1 , wherein the difference values are ascertained repeatedly in temporal succession at predetermined time intervals, during operation of the vehicle while the vehicle is driving.

3. The method as recited in claim 2 , wherein the updated dataset is determined only from a predetermined number of the difference values.

4. The method as recited in claim 1 , wherein a histogram difference is used as the comparison method.

5. The method as recited in claim 1 , wherein a Jensen-Shannon divergence is used as a comparison method.

6. The method as recited in claim 1 , wherein the vehicle dynamics model is determined to be invalid when the concordance measure does not meet the predefined concordance criterion, and an error response is then initiated.

7. The method as recited in claim 1 , wherein the vehicle dynamics model is used for vehicle functions based on the vehicle dynamics model being determined to be valid.

8. A processing unit configured to check a vehicle dynamics model of a vehicle, with which a value of an output variable is ascertainable from a value of a variable input variable, the processing unit, when installed in the vehicle and coupled to a steering angle sensor of the vehicle and a yaw-rate sensor of the vehicle, configured to:

during operation of the vehicle as the vehicle is driving and in real-time, the processor being configured to:

detect using the steering angle sensor of the vehicle, a plurality of steering angles of the vehicle;

for multiple values of the input variable, ascertain respectively associated model-based values of the output variable using the vehicle dynamics model, wherein the multiple values of the input variable are the plurality of steering angles detected by the steering angle sensor;

for the multiple values of the input variable at the vehicle, ascertain, parallel with the detection using the steering angle sensor, respectively associated vehicle-based values of the output variable, wherein the vehicle-based values of the output variable are ascertained using the yaw-rate sensor of the vehicle;

respective ascertain difference values for mutually corresponding ones of the model-based values and the vehicle-based values;

compare an updated dataset of the ascertained difference values with a comparison dataset using a comparison method and ascertaining a concordance measure based on the comparing;

determine the vehicle dynamics model to be valid based on the concordance measure meeting a predefined concordance criterion;

based on determining the vehicle dynamics model to be valid, using the vehicle dynamics model by a driver assistance function of the vehicle; and

wherein the vehicle dynamics model predicts a behavior of the vehicle based on the plurality of detected steering angles.

9. A non-transitory machine-readable memory medium on which is stored a computer program for checking a vehicle dynamics model of a vehicle, with which a value of an output variable is ascertainable from a value of a variable input variable, the computer program, when executed by a computer installed in the vehicle and coupled to a steering angle sensor of the vehicle and a yaw-rate angle-sensor of the vehicle, causing the computer to perform the following steps:

during operation of the vehicle as the vehicle is driving and in real-time, performing the following steps:

detecting using the steering angle sensor of the vehicle, a plurality of steering angles of the vehicle;

for multiple values of the input variable, ascertaining respectively associated model-based values of the output variable using the vehicle dynamics model, wherein the multiple values of the input variable are the plurality of steering angles detected by the steering angle sensor;

for the multiple values of the input variable at the vehicle, ascertaining, in parallel with the detecting using the steering angle sensor, respectively associated vehicle-based values of the output variable, wherein the vehicle-based values of the output variable are ascertained using the yaw-rate sensor of the vehicle;

respectively ascertaining difference values for mutually corresponding ones of the model-based values and the vehicle-based values;

comparing an updated dataset of the ascertained difference values with a comparison dataset using a comparison method and ascertaining a concordance measure based on the comparing;

determining the vehicle dynamics model to be valid based on the concordance measure meeting a predefined concordance criterion;

based on determining the vehicle dynamics model to be valid, using the vehicle dynamics model by a driver assistance function of the vehicle; and

wherein the vehicle dynamics model predicts a behavior of the vehicle based on the plurality of detected steering angles.