Method for determining a load prediction for a component of a vehicle

A method (1) for determining a load prediction for a component of a vehicle,

• wherein, in a model creation process (3), a load model is created using an identification method based on a training-drive data group, a training vehicle data group and a training load group,
• wherein the training-drive data group contains a large number of training-drive data sets, each containing certain course of route data and/or accompanying drive data for a training drive of a training vehicle on a training route,
• wherein the training vehicle data group comprises vehicle data from the training vehicle used on the relevant training drive,
• wherein the training load group includes training load data,
• wherein the training load data include a load of the component that corresponds to a training-drive data set, is detected using measurement technology or is calculated based on measurement variables,
• wherein the load model approximates a probability distribution of the occurring load on a predetermined training route and/or with predetermined accompanying drive data and/or according to predetermined vehicle data such that the load model is a model of the probability distribution, and
• wherein, in a model evaluation process (4), the load prediction is determined using the load model for a predetermined prediction route and/or for predetermined accompanying prediction drive data and/or according to predetermined prediction vehicle data from a prediction vehicle.