US 12,252,020 B2
Monitoring and identifying sensor failure in an electric drive system
Xiaoyun Zang, Shanghai (CN)
Assigned to Robert Bosch GmbH, Stuttgart (DE)
Appl. No. 17/256,286
Filed by Robert Bosch GmbH, Stuttgart (DE)
PCT Filed Jun. 29, 2018, PCT No. PCT/CN2018/093654
§ 371(c)(1), (2) Date Dec. 28, 2020,
PCT Pub. No. WO2020/000362, PCT Pub. Date Jan. 2, 2020.
Prior Publication US 2021/0261003 A1, Aug. 26, 2021
Int. Cl. G01D 3/08 (2006.01); B60L 3/00 (2019.01)
CPC B60L 3/0038 (2013.01) [B60L 2240/421 (2013.01); B60L 2240/423 (2013.01); B60L 2240/425 (2013.01); B60L 2240/427 (2013.01); B60L 2240/429 (2013.01); B60L 2240/547 (2013.01); B60L 2260/46 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for monitoring and identifying sensor faults in an electric drive system of a vehicle, comprising:
collecting corresponding data using sensors in the electric drive system of the vehicle, the vehicle included in a plurality of vehicles each having a corresponding electric drive system;
transmitting the collected data to a cloud computing system configured to communicate wirelessly with a controller of each vehicle of the plurality of vehicles;
inputting the collected data to an already-established sensor fault mode identification model of the cloud computing system;
determining whether a fault mode exists and a fault mode type based on the collected data using the sensor fault mode identification model;
when it is determined that the fault mode exists, running a corresponding compensation algorithm program stored in the controller of the vehicle, to compensate for data inaccuracy caused by a faulty sensor of the sensors in the electric drive system of the vehicle; and
operating the electric drive system of the vehicle based on compensated data from the faulty sensor,
wherein the sensor fault mode identification model is based on:
S(normal,Flt1,Flt2, . . . ,Fltn)=Func(X)
wherein X is an input variable corresponding to a variation of the electric drive system with a time domain or a frequency domain,
wherein Func(X) is the sensor fault mode identification model established based on initial data,
wherein S corresponds to the fault data and the normal data, and
wherein X includes a parameter X(f) corresponding to a variation of the electric drive system with the frequency domain, and is one or more of harmonic information, standard deviation, kurtosis, or skewness acquired from a time domain variable by frequency domain calculation or statistical calculation.