METHOD FOR CARRYING OUT CONTROL PROCEDURES IN A VEHICLE
20230347917 ยท 2023-11-02
Inventors
- Stephan Elter (Weinsberg, DE)
- Fabiola Maget (Ludwigsburg, DE)
- Steffen Haeberle (Lauffen Am Neckar, DE)
Cpc classification
B60W50/045
PERFORMING OPERATIONS; TRANSPORTING
B60W50/085
PERFORMING OPERATIONS; TRANSPORTING
B60W2050/0022
PERFORMING OPERATIONS; TRANSPORTING
B60W2540/00
PERFORMING OPERATIONS; TRANSPORTING
International classification
B60W50/08
PERFORMING OPERATIONS; TRANSPORTING
B60W30/02
PERFORMING OPERATIONS; TRANSPORTING
Abstract
In a method for carrying out control procedures in a vehicle, a criticality indicator is calculated from various stability indicators. The criticality indicator is fed to at least two different controllers or at least two different sub-controllers of a controller of the vehicle in order for controller parameters to be established.
Claims
1-14. (canceled)
15. A method for carrying out control procedures in a vehicle, comprising the following steps: determining at least two different stability indicators from current state variables of the vehicle and/or surroundings variables of the vehicle, wherein different variables are used for the stability indicators; calculating a criticality indicator from the stability indicators according to a predefined calculation rule; and using the criticality indicator to set controller parameters in at least two different controllers of the vehicle or at least two different sub-controllers of a controller of the vehicle.
16. The method according to claim 15, wherein the stability indicators include lateral dynamic state variables of the vehicle and longitudinal dynamic state variables of the vehicle.
17. The method according to claim 15, wherein the stability indicators include driver inputs as surroundings variables.
18. The method according to claim 15, wherein the calculation rule for determining the criticality indicator includes carrying out a weighting of the stability indicators.
19. The method according to claim 15, wherein fuzzy logic or artificial intelligence is used in the calculation rule.
20. The method according to claim 15, wherein at least one of the stability indicators is used to limit the criticality indicator.
21. The method according to claim 15, wherein the stability indicators are assigned to different value ranges of the criticality indicator in the calculation rule for determining the criticality indicator.
22. The method according to claim 15, wherein one or more controllers or sub-controllers are activated only when the criticality indicator exceeds an activation threshold.
23. The method according to claim 22, wherein different activation thresholds are assigned to the controllers or sub-controllers.
24. The method according to claim 15, wherein the controllers or sub-controllers using the criticality indicator can be activated simultaneously.
25. A control unit or control unit network comprising a plurality of control units, the control unit or control unit network configured to carrying out control procedures in a vehicle, the control unit or the control unit network configured to: determine at least two different stability indicators from current state variables of the vehicle and/or surroundings variables of the vehicle, wherein different variables are used for the stability indicators; calculate a criticality indicator from the stability indicators according to a predefined calculation rule; and use the criticality indicator to set controller parameters in at least two different controllers of the vehicle or at least two different sub-controllers of a controller of the vehicle.
26. A control system in a vehicle, comprising: at least two different controllers or at least two sub-controllers of a controller; and a control unit or a control unit network comprising a plurality of control units, the control unit or control unit network configured to carrying out control procedures in the vehicle, the control unit or the control unit network configured to: determine at least two different stability indicators from current state variables of the vehicle and/or surroundings variables of the vehicle, wherein different variables are used for the stability indicators, calculate a criticality indicator from the stability indicators according to a predefined calculation rule, and use the criticality indicator to set controller parameters in the at least two different controllers of the vehicle or the at least two different sub-controllers.
27. A vehicle, comprising: a control system including: at least two different controllers or at least two sub-controllers of a controller, and a control unit or a control unit network comprising a plurality of control units, the control unit or control unit network configured to carrying out control procedures in the vehicle, the control unit or the control unit network configured to: determine at least two different stability indicators from current state variables of the vehicle and/or surroundings variables of the vehicle, wherein different variables are used for the stability indicators, calculate a criticality indicator from the stability indicators according to a predefined calculation rule, and use the criticality indicator to set controller parameters in the at least two different controllers of the vehicle or the at least two different sub-controllers.
28. A non-transitory machine-readable medium on which is stored a computer program including program code for carrying out control procedures in a vehicle, the program code, when executed by a control unit or control unit network, causing the control unit or control unit network to perform the following steps: determining at least two different stability indicators from current state variables of the vehicle and/or surroundings variables of the vehicle, wherein different variables are used for the stability indicators; calculating a criticality indicator from the stability indicators according to a predefined calculation rule; and using the criticality indicator to set controller parameters in at least two different controllers of the vehicle or at least two different sub-controllers of a controller of the vehicle.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0022]
[0023]
[0024]
[0025]
[0026]
DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
[0027]
[0028] The criticality indicator I.sub.K is continuously updated as a function of vehicle state variables and/or surroundings variables of the vehicle and made available to the various controllers. This approach makes it possible to use the criticality indicator I.sub.K to determine only one variable that is used to parameterize the various controllers in the vehicle. Depending on the level of the criticality indicator I.sub.K, the controllers can be parameterized in different ways or activated or deactivated above or below an activation threshold value.
[0029] The continuous determination of the criticality indicator I.sub.K is carried out as a function of the stability indicators I.sub.s1, I.sub.s2, I.sub.s3 . . . . Each stability indicator I.sub.s depends on a variety of state and/or surroundings variables of the vehicle, wherein the various stability indicators I.sub.s each depend on at least partially different state or surroundings variables. The current stability indicators I.sub.s are determined using sensor information acquired via a sensor system in the vehicle. The various stability indicators I.sub.s are processed in a calculation block 1, in which the criticality indicator I.sub.K is calculated. The criticality indicator I.sub.K can be calculated with the help of fuzzy logic or artificial intelligence.
[0030]
[0031] The various stability indicators I.sub.s can be processed in the calculation block 1 in different ways. For example, it is possible that some of the stability indicators in the calculation block 1 are first scaled to the full range of values between 0% and 100% of the criticality indicator and then processed further, whereas other stability indicators are scaled to only a partial range of values of the criticality indicator, for example between 0% and 50%, and then processed further. It is also possible to take various other current variables into account; for instance use another stability indicator to limit the criticality indicator, for example a yaw rate stability indicator. The current position in the steering system, in the accelerator pedal and in the brake pedal can respectively be taken into account as further stability indicators as well. Using fuzzy logic and artificial intelligence, the sought criticality indicator I.sub.K which is made available as a scalar variable to the various controllers R.sub.1, R.sub.2, R.sub.3 . . . can be determined taking into account limiting stability indicators.
[0032]
[0033]
[0034]