US 12,313,418 B2
Method for predicting a velocity profile of a vehicle
Stefan Grubwinkler, Munich (DE); Hans Bauer, Munich (DE); and Friedrich Graf, Munich (DE)
Assigned to VITESCO TECHNOLOGIES GMBH, Regensburg (DE)
Appl. No. 17/766,433
Filed by Vitesco Technologies GmbH, Regensburg (DE)
PCT Filed Oct. 6, 2020, PCT No. PCT/EP2020/077962
§ 371(c)(1), (2) Date Apr. 4, 2022,
PCT Pub. No. WO2021/069418, PCT Pub. Date Apr. 15, 2021.
Claims priority of application No. 10 2019 215 376.3 (DE), filed on Oct. 8, 2019.
Prior Publication US 2024/0053161 A1, Feb. 15, 2024
Int. Cl. G01C 21/34 (2006.01); G08G 1/052 (2006.01)
CPC G01C 21/3492 (2013.01) [G08G 1/052 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for operating a vehicle based on a predicted speed profile for the vehicle representing a future speed curve along a predetermined travel route up to a specific preview horizon, the method comprising:
generating a prediction model;
supplying input data to the prediction model;
calculating output data using the input data and an algorithm contained in the prediction model, wherein the output data describe the predicted speed profile for the vehicle along the predetermined travel route;
transmitting the output data from the prediction model to a controller associated with the vehicle;
wherein the input data include a first input data group containing geocoordinates of the travel route and a second input data group containing at least one datum selected from the group consisting of: location information for a digital map, average traffic flow data along the travel route, and speed profiles of networked vehicles;
selecting a datum for the second input data group depends on a situation analysis using predetermined criteria; and
using the controller to: implement operating strategies for a vehicle, control exhaust aftertreatment systems, and/or predict operating states depending on the speed forecast;
wherein the predetermined criteria include at least one element selected from the group consisting of: an availability of the various input data the second input data group, data protection requirements, the respective road class on the travel route, and an influence of the various input data from the second input data group on the quality of the prediction.