Porsche uses fleet data to determine risk
In addition to the vehicle data of your own car, the simulation also uses also data from other Porsche models on the road. In this way, deductions can also be made for your own vehicle and the forecasts for wear and maintenance become even more reliable. Particularly exciting: in the future, the system should also be able to monitor components for which there are no sensors at all. For this purpose, data from other components can show trends, which the system then combines to form a pattern. If, for example, the track of a model changes more than average after certain driving maneuvers, deviations at other sensors can indicate this.
Initially focus on Taycan chassis
The system should go into series production from 2022
The digital twin is still in the testing phase, The system should go into series production in 2022 and so be useful outside of maintenance intervals and workshop recommendations. The collected data could, for example, help to determine the residual value of a used car and thus create more transparency. An advantage, especially for high-priced vehicles such as Porsche models.