Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F30/00—Computer-aided design [CAD]
  • G06F30/20—Design optimisation, verification or simulation
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F30/00—Computer-aided design [CAD]
  • G06F30/10—Geometric CAD
  • G06F30/15—Vehicle, aircraft or watercraft design
• • 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
  • B60W2050/0002—Automatic control, details of type of controller or control system architecture
  • B60W2050/0018—Method for the design of a control system
• • 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
• • 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
  • B60W50/0097—Predicting future conditions

Definitions

• the present invention relates to a method for ECU development for motor vehicles.
• the program version is the so-called software framework and contains all instructions for the to be performed
• the data contains so-called application labels, such as, inter alia, above-mentioned fixed value and thus allows to adapt the ECU software to a specific vehicle.
• application labels such as, inter alia, above-mentioned fixed value and thus allows to adapt the ECU software to a specific vehicle.
• Typical examples include the adaptation of physical vehicle parameters such as mass, wheelbase, stiffness or the fine-tuning of character-defining functions, such as the accelerator pedal interpretation.
• the development process differs significantly between the program status and the data status:
• the modular software ie the conventional functional framework, creates a conflict of objectives: Either the modular system only contains the strict intersection of all projects involved. In this case, the individual requirements of the individual projects as
• Building Kit contains the union of all projects. In this case, unused content must be consumed, which wastes resources.
• the object is achieved according to the invention by means of a method according to the main claim.
• the subject of the main claim relates to a universal modeling method for a motor vehicle, the universal modeling method comprising:
• Input signal set comprising those signals
• the communiquéset acts as a signal set for controlling corresponding actuators of the devices of the motor vehicle.
• the process steps can be carried out automatically.
• a signal in the sense of the invention can be a quantity detected by a sensor, which in one
• Meaning of the invention means a process which leads to a driving of a device of the motor vehicle.
• these are
• a system architecture of the motor vehicle in the sense of the invention can be a model of the
• Be motor vehicle in particular a model of the vehicle-side devices, which the
• An output signal set in the sense of the invention may mean a number of electrical signals, which may be a result of the universal modeling method. This electrical signal set can be used as
• the output signal set only have an electrical signal whose value has a different value from a zero signal.
• the output signal set may also be the same
• the universal modeling method further comprises that the state space model modeling function comprises a motor vehicle mode function.
• the universal modeling method further comprises determining a motor vehicle mode of the motor vehicle for the
• the determination of the output signal set takes place taking into account a result of an application of the
• a motor vehicle mode function in the sense of the invention can mean a function which can map a specific operating state of a motor vehicle.
• a motor vehicle mode may be a
• Vibration damping of a motor vehicle mean.
• functions which can map the aisles, the coupling states, the starting and the like can be used. Everything together can be a corresponding one
• the universal modeling method further comprises that the state space modeling
• Modeling function further comprises a reference system function, which is a motor vehicle-specific Reference system of the motor vehicle corresponds. And there is the determination of the output signal set under
• a reference system function in the sense of the invention may mean a function which can be generally used as a reference for a motor vehicle. Such a function may also have a set of functions.
• the universal modeling method further comprises that the state space model modeling function further comprises an observer system
• This embodiment has the advantage that the modeling of the motor vehicle can be even more accurate.
• the universal modeling method further comprises that the input signal set further comprises a zero signal.
• a zero signal in the sense of the invention may be an electrical signal, which is a zero value can act.
• the zero signal may correspond to a reference potential or a zero potential.
• the signal is embodied, for example, as a current, the zero signal may have the value OA, thus be currentless.
• the zero signal can be used as a reference for the universal reference for the universal reference for the universal reference for the universal reference for the universal reference for the universal reference for the universal reference potential
• Modeling method can be used.
• This embodiment has the advantage that a reference variable for the universal modeling method can be used, whereby the signals can have a lower tolerance. This can make the procedure more accurate. According to another exemplary embodiment
• the universal modeling method further comprises selecting the
• Modeling signal sets from the input signal set has a zero setting of those signals from the input signal set, which are not needed for the Modell istssignalset.
• the zero setting by means of the zero signal is performed such that the for
• Modeling signal set not required signals from the input signal set corresponding to the value of the null signal.
• the universal modeling method further comprises that determining the motor vehicle mode takes place by means of an allocation table of the system architecture of the motor vehicle.
• This embodiment has the advantage that in a simple way from a system architecture of the motor vehicle, a particular motor vehicle mode
• the universal modeling method further comprises that the observer system has a physical system description of the motor vehicle.
• a physical system description in the sense of the invention can depict the physical behavior of the motor vehicle.
• Physical quantities that can characterize the physical behavior for example, descriptions for a
• Acceleration behavior, a traction and the like of the motor vehicle to be modeled Acceleration behavior, a traction and the like of the motor vehicle to be modeled.
• the universal modeling method further comprises determining the output signal set applying the result of the application of the
• Modeling signal sets on the observer system on a Has control function. And it acts the
• Control function as a part of discrete-time
• a control function in the sense of the invention can be a function which can provide one or more corresponding regulators with respect to the modeling signal set.
• Motor vehicle can be provided.
• the universal modeling method further comprises that the modeling signal set for the
• Modeling signal set to the motor vehicle mode function a deviation from the modeling signal set for determining the result of the application of the
• Modeling signal set to the modeling function This is done by means of a different selection of the signals from the input signal set for the respective modeling signal set.
• This embodiment has the advantage that for the motor vehicle mode function, the reference system function and also the observer system individual
• Modeling signal sets can be used. This allows the universal modeling process to generate even more accurate results.
• the invention thus allows a universal
• Fig. 1 is a schematic representation of a
• Fig. 2 is a schematic representation of a
• FIG. 1 Embodiment of the invention shown in FIG. 1;
• FIG. 1 shows a schematic representation of a proposed method according to an exemplary embodiment of the invention.
• FIG. 1 shows a schematic representation of a universal modeling method for a
• the universal modeling method comprising: providing 10 of an input signal set 100, the input signal set 100 having those signals corresponding sensors of the motor vehicle, which may be relevant to regulations of devices of the motor vehicle. Selecting 20 of a modeling signal set 110 from the input signal set 100. And determining 30 an output signal set 400 by means of a discrete-time selective state space model modeling function 300 in consideration of the modeling signal set 110, wherein the output signal set 400 functions as a signal set for driving corresponding actuators of the devices of the motor vehicle.
• Fig. 2 shows a schematic representation of a proposed method according to another
• FIG. 2 shows a schematic representation of a method which has been expanded compared to the method of FIG.
• the universal modeling method moreover shows that the
• Automotive mode function 310 has. And the universal modeling method also has:
• Motor vehicle mode function 310 is performed.
• FIGS. 3 and 4 illustrate the corresponding methods from the point of view of the signal paths.
• the ellipsoidal fields represent the method steps that belong to the
• FIG. 3 shows a further schematic illustration of a proposed method according to the exemplary embodiment of the invention according to FIG. 1.
• FIG. 4 shows a further schematic representation of a proposed method according to the exemplary embodiment of the invention according to FIG. 2.
• Reference system function 320 an observer system 330 and a control function 340 on. Same or too
• Modeling signal sets 110 are used for the
• the implementation for the projects can be represented on a database basis by the corresponding system matrices.
• the following types of functions are suitable for such an implementation (but not exhaustive): control functions, filter functions, coordination functions, functions with a dependency on a driving experience switch mode.
• control functions filter functions
• coordination functions functions with a dependency on a driving experience switch mode.
• control software or control software can be adapted to a specific vehicle. Typical examples are the adaptation of
• Mass Mass, wheelbase, stiffness and the like or the fine tuning of character-defining functions of Motor vehicle, such as a

Landscapes

• Engineering & Computer Science (AREA)
• Physics & Mathematics (AREA)
• Geometry (AREA)
• Theoretical Computer Science (AREA)
• General Physics & Mathematics (AREA)
• Computer Hardware Design (AREA)
• Evolutionary Computation (AREA)
• General Engineering & Computer Science (AREA)
• Automation & Control Theory (AREA)
• Aviation & Aerospace Engineering (AREA)
• Computational Mathematics (AREA)
• Mathematical Analysis (AREA)
• Mathematical Optimization (AREA)
• Pure & Applied Mathematics (AREA)
• Control Of Electric Motors In General (AREA)
• Control Of Driving Devices And Active Controlling Of Vehicle (AREA)

Applications Claiming Priority (2)

Publications (1)

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• 2015
  • 2015-11-13 WO PCT/EP2015/076558 patent/WO2016091535A1/de not_active Ceased
  • 2015-11-13 CN CN201580052608.1A patent/CN106716422B/zh active Active
  • 2015-11-13 EP EP15794909.0A patent/EP3164820A1/de not_active Ceased
  • 2015-11-13 JP JP2017529739A patent/JP6656250B2/ja active Active
• 2017
  • 2017-05-22 US US15/601,399 patent/US10503866B2/en active Active

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