US 12,032,880 B2
Method and device for simulating a technical system
Carola Endler, Sindelfingen (DE); Ji Su Yoon, Leonberg (DE); Johannes Von Keler, Tuebingen (DE); Julian Schmidt, Stuttgart (DE); and Stephan Rhode, Karlsruhe (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Mar. 2, 2021, as Appl. No. 17/190,194.
Claims priority of application No. 102020205131.3 (DE), filed on Apr. 23, 2020.
Prior Publication US 2021/0334435 A1, Oct. 28, 2021
Int. Cl. G06F 30/20 (2020.01)
CPC G06F 30/20 (2020.01) 19 Claims
OG exemplary drawing
 
1. A method for simulating a technical system, comprising the following steps:
obtaining a plurality of different time series of a quantity of interest of the technical system using a simulation model of the technical system, wherein, in the obtaining step, for each respective time series of the plurality of different time series, a value of at least one epistemic parameter of the simulation model is varied relative to a value of the epistemic parameter for the other time series of the plurality of different time series so that each of the plurality of different time series is obtained, using the simulation model, using a different value for the epistemic value of the simulation model relative to one another;
obtaining at least one measurement series of the quantity of interest by performing corresponding measurements on the technical system;
determining, for each value of the different values of the epistemic parameter, a real-value error measure of the respective time series for the value of the different values with respect to the measurement series, and determining a distribution function of each of the error measures;
adjusting the simulation model by setting the epistemic parameter to that value of the different values of the epistemic parameter for which adjusting the simulation model by setting the epistemic parameter to that value of the different values of the epistemic parameter for which the distribution function has a smallest distance to a Heaviside function;
simulating the technical system using the adjusted simulation model; and
checking a functional reliability of the technical system based on the simulating.