US 11,675,937 B2
Method for simulation-based analysis of a motor vehicle
Mario Oswald, Fernitz (AT); Peter Schoeggl, Hitzendorf (AT); Erik Bogner, Graz (AT); Robert Schuh, Ludwigsburg (DE); Moritz Stockmeier, Tamm (DE); Volker Mueller, Lichtenstein (DE); Mario Teitzer, Graz (AT); Thomas Gerstorfer, Graz (AT); and Hans-Michael Koegeler, Graz (AT)
Assigned to AVL List GmbH, Graz (AT)
Appl. No. 16/317,193
Filed by AVL LIST GMBH, Graz (AT)
PCT Filed Jul. 12, 2017, PCT No. PCT/EP2017/067596
§ 371(c)(1), (2) Date Jul. 2, 2019,
PCT Pub. No. WO2018/011292, PCT Pub. Date Jan. 18, 2018.
Claims priority of application No. A 50628/2016 (AT), filed on Jul. 13, 2016.
Prior Publication US 2019/0318051 A1, Oct. 17, 2019
Int. Cl. G06F 30/20 (2020.01); G01M 17/007 (2006.01); G05B 17/02 (2006.01); G06F 30/15 (2020.01); G06F 111/00 (2020.01); G06F 30/25 (2020.01); G06F 30/27 (2020.01); G06F 119/22 (2020.01); G06F 30/28 (2020.01)
CPC G06F 30/20 (2020.01) [G01M 17/007 (2013.01); G05B 17/02 (2013.01); G06F 30/15 (2020.01); G06F 30/25 (2020.01); G06F 30/27 (2020.01); G06F 30/28 (2020.01); G06F 2111/00 (2020.01); G06F 2119/22 (2020.01)] 31 Claims
OG exemplary drawing
 
1. A method for simulation-based analysis or optimization of a motor vehicle, comprising:
simulating a driving operation of the motor vehicle on the basis of a function-based model with at least one manipulated variable for acquiring values of at least one simulated variable suitable for characterizing an overall vehicle behavior of the motor vehicle, wherein the function-based model comprises at least one partial model, wherein the at least one partial model is based on a first function that characterizes an operation of a drive apparatus of the motor vehicle, wherein the at least one partial model is a torque model of the drive apparatus of the motor vehicle, and wherein the at least one partial model comprises at least one of the following sub-models:
a full load model based on a full-load function, whereby at low engine speed and medium engine speed the full-load function is approximated by torque, while at maximum power the full-load function is approximated by a curve to power;
a torque gradient model based on a torque gradient function which has a linear portion and a cubic portion, and wherein a function parameter of the torque gradient model indicates a weighting of the linear portion and the cubic portion; and
a partial-load model based on a partial-load function which is calculated based on the full-load function and a pedal characteristic function, wherein the pedal characteristic function indicates a correlation between a torque variable and a pedal variable or a throttle valve position variable; and
outputting the values of the at least one simulated variable.