WO2023285606A1 - Verfahren zum ermitteln von nicht direkt messbaren fahrzustandsgrössen eines fahrzeugs - Google Patents
Verfahren zum ermitteln von nicht direkt messbaren fahrzustandsgrössen eines fahrzeugs Download PDFInfo
- Publication number
- WO2023285606A1 WO2023285606A1 PCT/EP2022/069765 EP2022069765W WO2023285606A1 WO 2023285606 A1 WO2023285606 A1 WO 2023285606A1 EP 2022069765 W EP2022069765 W EP 2022069765W WO 2023285606 A1 WO2023285606 A1 WO 2023285606A1
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- WO
- WIPO (PCT)
- Prior art keywords
- vehicle
- model
- computing device
- variables
- wheel
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000000725 suspension Substances 0.000 claims abstract description 10
- 238000005094 computer simulation Methods 0.000 claims abstract description 7
- 238000004364 calculation method Methods 0.000 claims description 12
- 230000001105 regulatory effect Effects 0.000 claims description 2
- 239000013598 vector Substances 0.000 description 10
- 230000001133 acceleration Effects 0.000 description 5
- 238000013016 damping Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000005096 rolling process Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000003381 stabilizer Substances 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
- B60W40/068—Road friction coefficient
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
- B60W2050/0031—Mathematical model of the vehicle
- B60W2050/0034—Multiple-track, 2D vehicle model, e.g. four-wheel model
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
- B60W2050/0031—Mathematical model of the vehicle
- B60W2050/0035—Multiple-track, 3D vehicle model, e.g. including roll and pitch conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
- B60W2050/0031—Mathematical model of the vehicle
- B60W2050/0036—Multiple-track, 3D multi-body vehicle model, e.g. combination of models for vehicle sub-units
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/12—Lateral speed
- B60W2520/125—Lateral acceleration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/14—Yaw
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/28—Wheel speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/18—Steering angle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/15—Road slope, i.e. the inclination of a road segment in the longitudinal direction
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2720/00—Output or target parameters relating to overall vehicle dynamics
- B60W2720/14—Yaw
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2720/00—Output or target parameters relating to overall vehicle dynamics
- B60W2720/30—Wheel torque
Definitions
- the invention relates to a method for determining non-directly measurable driving state variables of a vehicle with a control device, the control device having at least one computing device, one sensor device and one actuator device, with the sensor device reading in and transmitting it to the computing device in a first step
- the computing device calculates driving state variables using a computational model, so that other driving state variables that are difficult or impossible to measure directly can be determined based on the calculated driving state variables, and in a subsequent step the computing device transmits the calculated driving state variables and determined driving variables to the Actuator device are transmitted, so based on this, the vehicle can be advantageously controlled and / or regulated.
- vehicle variables There are a number of vehicle variables whose availability could significantly improve the quality of the control of both driving dynamics and active drive train components such as a clutch, but whose measurement is disproportionately complex and therefore uneconomical in a production vehicle. These usually include vehicle variables such as the speed of the vehicle over a roadway, an attitude angle of the vehicle, transmitted wheel torques, a yaw moment of the vehicle, wheel loads, a roll angle and a pitch angle of the vehicle.
- knowledge of the side slip angle can be used to represent advantageous vehicle behavior for a driver, while the availability of the wheel loads and a body angle can increase driving safety.
- knowledge of the wheel loads can also be used to temporarily shut down axles that are not required (so-called "disconnect" systems), as a result of which fuel consumption can be reduced.
- a control of active powertrain components, such as a Coupling in a transfer case can be simplified by an approximate knowledge of a transmitted torque, which can reduce development costs.
- Document DE 10 2004 006 944 A1 discloses a control device and a model-based control method for real-time control of vehicle dynamics movements of a multi-track vehicle with at least three wheels, with the following method steps:
- a disadvantage of the above control method is that it does not include and take into account the coefficient of friction that changes with the ambient conditions, with the coefficient of friction also not being adapted accordingly. In this respect, it must be assumed that the above control method does not work sufficiently well under different environmental conditions.
- the status vector according to the invention comprises in generalized coordinates:
- a ten-degree-of-freedom model for describing the dynamic behavior as a vehicle model of the vehicle body, a wheel suspension model and a tire model are used to determine the driving state variables that cannot be measured directly.
- the three sub-models are combined to form the uniform calculation model according to the invention, so that a possible data fusion of the results of the sub-models and inconsistencies resulting therefrom can be eliminated.
- the individual bodies of the vehicle are modeled and recorded with the index i, where
- the computational model includes a multi-body model with five bodies, the modeling of the wheel suspension and the use of a fully-fledged tire model.
- the vehicle bus connects the computing device, the sensor device and the actuator device to one another in a signal-conducting manner. Accordingly, the transmitted wheel torques and the yaw moment of the vehicle can be generated as output variables.
- the calculation model according to the invention can be solved numerically and its differential equation system can be integrated.
- the following variables of the vehicle which can only be measured in the real vehicle with great effort, can be determined in real time:
- the output signals described can be used to improve the functioning of a large number of control functions for driving dynamics, driving safety and vehicle components.
- the wheel suspension model can preferably represent a modeling of the wheel suspension as a vertical spring and a vertical damper for each vehicle wheel of the vehicle, it being possible for the wheels to be assumed to be standing horizontally on the roadway, the vehicle body performing rolling and pitching movements and deflection in the direction of the vehicle-fixed z- axis can be accepted.
- the following power elements can preferably be used for each vehicle wheel:
- the method according to the invention works in real time on the control device and supplies driving status variables that are difficult to determine. Furthermore, the method according to the invention enables new approaches in vehicle control. Knowing the sideslip angle, for example, enables spectacular driving behavior to be displayed, which can be kept within safe limits by the availability of the wheel loads or the body angle. Knowing the wheel loads also allows more efficient dosing of the axle torques and thus fuel savings. The qualitative knowledge of the transmitted wheel torque enables new possibilities in the control of active powertrain components. For example, the development effort (test runs, manufacturing tolerances, etc.) to ensure a defined positioning accuracy can be reduced.
- the method according to the invention and the calculation model used thereafter differs in particular in terms of complexity compared to known methods, with known methods lacking in precise and high-quality ascertained vehicle parameters.
- a method can be provided in which a friction value estimator for the tire model is used in the computing device by the computing model, with which an estimated friction value can be tracked in the tire model.
- the parameters of the calculation model which correspond to physical values of the vehicle - for example, a vehicle mass, a center of gravity, etc. - can be determined and adjusted for each target vehicle.
- the friction value estimator adapts and adjusts the friction value used by the tire model according to the method according to the invention, the friction value estimator comparing the lateral and longitudinal accelerations of the vehicle that are measured and possibly transmitted via the vehicle bus with the respective accelerations calculated by the computer model and feeds them back to the tire model, so that the coefficient of friction of the tire model can be tracked.
- the friction value estimator comparing the lateral and longitudinal accelerations of the vehicle that are measured and possibly transmitted via the vehicle bus with the respective accelerations calculated by the computer model and feeds them back to the tire model, so that the coefficient of friction of the tire model can be tracked.
- even small deviations in the parameters of the calculation model can be compensated, for example in a comparison to the original equipment of the vehicle on which the parameterization of the vehicle model is based, or worn tires or tires mounted differently from the original equipment. This ensures a very robust operation of the method and a high level of accuracy of the determined vehicle variables under different environmental conditions.
- the invention also includes a device for determining non-directly measurable driving status variables of a vehicle with a control device, the control device having at least one computing device, one sensor device and one actuator device, which is characterized in that the computing device is suitable for this, a method after perform any of the preceding claims.
- FIG. 1 shows a method and a calculation model in the form of a block diagram
- Figure 2 shows a possible assignment of the parameters of the calculation model
- Figure 3 shows a possible definition of the axes used according to the method and in the calculation model according to Schramm, Hiller and Bardini (D. Schramm, M. Hiller and R. Bardini, modeling and simulation of the dynamics of motor vehicles. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018).
- Figures 1 to 3 show an overall view of a method 1 according to the invention for determining non-directly measurable driving condition variables 2 with a computing device 3, the driving condition variables 2 being transmitted from the computing device 3 via a vehicle bus 4 to an actuator device 5.
- a sensor device 6 records the input as input variables 7
- a ten-degree-of-freedom vehicle model 8 for describing the dynamic behavior of the vehicle body of the vehicle 9, with five input variables 7 superimposing a total of five entries of a status vector q of the vehicle model 8 and thus blocking them.
- a wheel suspension model 10 and a tire model 11 are connected downstream of the vehicle model 8, but these have a retroactive effect on the vehicle model 8 with their output variables 12 and accordingly influence it in a feedback manner.
- the wheel suspension model 10 represents a modeling of the wheel suspension as a vertical spring and vertical damper for each vehicle wheel 13 of the vehicle 9, with the wheels 13 being horizontal are assumed to be standing on the roadway, the vehicle body is assumed to carry out rolling and pitching movements and deflection in the direction of a z-axis is assumed.
- the following force elements are used per vehicle wheel x:
- the tire model 11 is an approximation of the tire behavior including a dependence on the coefficient of friction, a longitudinal and lateral force characteristic, a declining influence of the wheel load and a combined tire behavior.
- the friction value estimator 14 compares the measured accelerations with the acceleration calculated by method 1 and feeds a weighted difference back to the tire model 11, which can adapt and track its internal friction value 15 used in the model.
- - r stands for a vector or a bold matrix or a tensor.
- the dot above the r represents the first derivative with respect to time.
- the arrow above the dot above r represents a vector.
- the calculation model according to the invention is shown parameterized below with reference to FIGS.
- the 10 x 10 mass matrix includes the following entries that are not null:
- ugsmodells include the following non-null entries:
- the impressed 10 x 1 vector of forces and moments of the vehicle includes the following non-null entries:
- the imprinted 10 x 1 force and moment vectors of the Multicomponents include the following non-null entries:
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Vehicle Body Suspensions (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE112022003589.7T DE112022003589A5 (de) | 2021-07-16 | 2022-07-14 | Verfahren zum Ermitteln von nicht direkt messbaren Fahrzustandsgrößen eines Fahrzeugs |
CN202280049519.1A CN117693458A (zh) | 2021-07-16 | 2022-07-14 | 用于求取车辆的不可直接测量的行驶状态变量的方法 |
US18/578,835 US20240317239A1 (en) | 2021-07-16 | 2022-07-14 | Method for determining vehicle driving status variables which are not directly measurable |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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DE102021207595.9 | 2021-07-16 | ||
DE102021207595 | 2021-07-16 |
Publications (1)
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WO2023285606A1 true WO2023285606A1 (de) | 2023-01-19 |
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Family Applications (1)
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PCT/EP2022/069765 WO2023285606A1 (de) | 2021-07-16 | 2022-07-14 | Verfahren zum ermitteln von nicht direkt messbaren fahrzustandsgrössen eines fahrzeugs |
Country Status (4)
Country | Link |
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US (1) | US20240317239A1 (de) |
CN (1) | CN117693458A (de) |
DE (1) | DE112022003589A5 (de) |
WO (1) | WO2023285606A1 (de) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102004006944A1 (de) | 2004-02-12 | 2005-09-01 | Ford Global Technologies, LLC, Dearborn | Modellbasiertes Regelungsverfahren und Regelungsvorrichtung zur Fahrdynamikregelung eines mehrspurigen Fahrzeugs |
DE102019128447A1 (de) * | 2019-10-22 | 2021-04-22 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren zur Bestimmung einer Übersteuer-Kennzahl als Maß für das Übersteuern eines Fahrzeugs |
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2022
- 2022-07-14 WO PCT/EP2022/069765 patent/WO2023285606A1/de active Application Filing
- 2022-07-14 DE DE112022003589.7T patent/DE112022003589A5/de active Pending
- 2022-07-14 CN CN202280049519.1A patent/CN117693458A/zh active Pending
- 2022-07-14 US US18/578,835 patent/US20240317239A1/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102004006944A1 (de) | 2004-02-12 | 2005-09-01 | Ford Global Technologies, LLC, Dearborn | Modellbasiertes Regelungsverfahren und Regelungsvorrichtung zur Fahrdynamikregelung eines mehrspurigen Fahrzeugs |
DE102019128447A1 (de) * | 2019-10-22 | 2021-04-22 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren zur Bestimmung einer Übersteuer-Kennzahl als Maß für das Übersteuern eines Fahrzeugs |
Non-Patent Citations (2)
Title |
---|
HENNING KAY-UWE ET AL: "Integrated lateral dynamics control concept for over-actuated vehicles with state and parameter estimation and experimental validation", CONTROL ENGINEERING PRACTICE, PERGAMON PRESS, OXFORD, GB, vol. 107, 11 December 2020 (2020-12-11), XP086417120, ISSN: 0967-0661, [retrieved on 20201211], DOI: 10.1016/J.CONENGPRAC.2020.104704 * |
SCHRAMM DIETER: "Modellbildung und Simulation der Dynamik von Kraftfahrzeugen", 1 January 2011 (2011-01-01), XP055973892, Retrieved from the Internet <URL:https://www.google.de/books/edition/Modellbildung_und_Simulation_der_Dynamik/QRBMDwAAQBAJ?hl=en&gbpv=1&dq=Modellbildung+und+Simulation+der+Dynamik+von+Kraftfahrzeugen&pg=PA1&printsec=frontcover> * |
Also Published As
Publication number | Publication date |
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US20240317239A1 (en) | 2024-09-26 |
DE112022003589A5 (de) | 2024-05-02 |
CN117693458A (zh) | 2024-03-12 |
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