US 12,469,341 B2
Method and apparatus for determining a residual service life based on a predictive diagnosis of components of an electric drive system using artificial intelligence techniques
Christian Simonis, Leonberg (DE); Christoph Woll, Gerlingen (DE); Kirill Gorelik, Stuttgart (DE); and Tunan Shen, Leonberg (DE)
Assigned to Robert Bosch GmbH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Sep. 27, 2021, as Appl. No. 17/486,093.
Claims priority of application No. 10 2020 212 277.6 (DE), filed on Sep. 29, 2020.
Prior Publication US 2022/0101666 A1, Mar. 31, 2022
Int. Cl. G07C 5/08 (2006.01); G06N 3/02 (2006.01)
CPC G07C 5/0816 (2013.01) [G06N 3/02 (2013.01); G07C 5/0808 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for providing a residual service life based on a diagnosis of components of an electric drive system in a vehicle, comprising:
recording a plurality of operating parameters, the plurality of operating parameters including at least one of (i) at least one sensor parameter measured by at least one sensor in the vehicle and (ii) at least one control parameter that is output to control one of the components of the electric drive system in the vehicle;
determining distributions of the plurality of operating parameters;
determining a plurality of fault information using a plurality of diagnostic models for a plurality of fault types, each of which is configured to detect a specific fault type in a specific one of the components of the electric drive system based on the distributions of at least some of the operating parameters of the plurality of operating parameters and provide corresponding fault information of the plurality of fault information associated with the specific fault type, the plurality of diagnostic models including at least one anomaly detection model configured to detect an anomaly in a behavior of the electric drive system based on the distributions of the at least some operating parameters of the plurality of operating parameters and to provide a corresponding degree of anomaly as the corresponding fault information, the plurality of diagnostic models including at least one physical diagnostic model configured to detect the fault in the specific one of the components of the electric drive system based on at least one of correlated distributions and redundant distributions of at least some of the plurality of operating parameters and to provide the corresponding fault information;
determining the residual service life using a residual usage model depending on the plurality of fault information, the residual usage model configured to indicate the residual service life depending on the plurality of fault information, including depending on the corresponding degree of anomaly; and
signaling the determined residual service life.