US 12,104,691 B2
Device, method and machine learning system for determining a state of a transmission for a vehicle
Martin Schiegg, Korntal-Muenchingen (DE); Muhammad Bilal Zafar, Berlin (DE); Roman Dominik Kilgus, Stuttgart (DE); and Sebastian Gerwinn, Leonberg (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Jan. 22, 2021, as Appl. No. 17/156,088.
Claims priority of application No. 20155186 (EP), filed on Feb. 3, 2020.
Prior Publication US 2021/0237745 A1, Aug. 5, 2021
Int. Cl. F16H 59/66 (2006.01); F16H 61/00 (2006.01); F16H 61/02 (2006.01)
CPC F16H 59/66 (2013.01) [F16H 61/02 (2013.01); F16H 2061/0087 (2013.01); F16H 2061/0093 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for determining a state of a transmission for a vehicle, the method comprising the following steps:
providing an input for a first model depending on a route information, a vehicle speed, a probabilistic variable including noise, and an output of a second model, wherein the first model is a generative model and the second model is a physical model;
determining an output of the first model in response to the input for the first model, wherein the output of the first model characterizes the state of the transmission, wherein the first model includes a first layer that is trained to map the input for the first model determined depending on the route information, the vehicle speed, and the probabilistic variable, to an intermediate state, and wherein the first model includes a second layer that is trained to map the intermediate state to the state of the transmission depending on the output of the second model;
providing an input for the second model depending on at least one vehicle state and/or the route information; and
determining an output of the second model in response to the input for the second model, wherein the output of the second model characterizes at least one limit for the intermediate state.