CN114357612A - Processing method and device for characteristic parameters of suspension and vehicle - Google Patents
Processing method and device for characteristic parameters of suspension and vehicle Download PDFInfo
- Publication number
- CN114357612A CN114357612A CN202111567375.2A CN202111567375A CN114357612A CN 114357612 A CN114357612 A CN 114357612A CN 202111567375 A CN202111567375 A CN 202111567375A CN 114357612 A CN114357612 A CN 114357612A
- Authority
- CN
- China
- Prior art keywords
- suspension
- model
- vehicle
- characteristic parameters
- parameters
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K5/00—Arrangement or mounting of internal-combustion or jet-propulsion units
- B60K5/12—Arrangement of engine supports
- B60K5/1208—Resilient supports
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Abstract
The invention discloses a processing method and device for characteristic parameters of a suspension and a vehicle. Wherein, the method comprises the following steps: obtaining a characteristic parameter of at least one suspension mounted between the powertrain and the frame, the characteristic parameter comprising: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and performing virtual calibration of the drivability of the whole vehicle based on the suspension model. The suspension modeling method solves the technical problem that the existing suspension modeling method in the virtual calibration of the drivability of the whole vehicle cannot meet the precision requirement and the real-time requirement at the same time.
Description
Technical Field
The invention relates to the field of virtual calibration of vehicle drivability, in particular to a method and a device for processing characteristic parameters of a suspension and a vehicle.
Background
With the development of society and the improvement of requirements of users on automobile products, the emission fuel consumption regulations are gradually tightened, and the diversification of power system configuration, vehicle configuration and target market brings great challenges to the whole automobile development work of engineers. The whole car factory continuously tries to adapt to the development of the industry through ways of shortening the research and development period, optimizing the research and development flow, improving the research and development quality, reducing the research and development cost and the like, and the whole car electronic control calibration is used as an important link in the later stage of product development, so that the comprehensive improvement of the performances of the vehicle such as emission, oil consumption, drivability and the like can be effectively realized. The whole vehicle calibration is mostly carried out after the test sample vehicle is unloaded and the sensors and the equipment are installed, meanwhile, the research and development period of the research and development process is relatively long, the research and development cost is high, and repeated tests on some extreme environments and extreme operations are difficult, so that a whole vehicle factory tries to solve the pain point problems in a whole vehicle virtual calibration mode.
Compared with emission and oil consumption, the virtual calibration difficulty of the drivability can be realized, and mainly because each part of a power system in the virtual calibration of the drivability of the whole vehicle is a physical model with high precision, good real-time performance and high complexity. Most of the existing virtual calibration technologies focus on studying modeling of components such as an engine and a transmission, and detailed study on virtual calibration of a powertrain suspension is not available.
The suspension is an important shock isolation device on an automobile, is arranged between a power assembly and a frame, and plays a role in supporting the power assembly and weakening torsional vibration. In the virtual calibration of the whole vehicle drivability, the precision of the suspension model directly influences the simulation precision of the whole vehicle drivability. Although the precision of the conventional suspended physical model reaches the standard, the model is too complex and cannot meet the real-time requirement, so that the suspended physical model cannot be applied to virtual calibration of the drivability of the whole vehicle. In the prior art, simulation modeling description is performed on the aspects of suspension mechanical design and physical structure, but a suspension modeling and application method in the virtual calibration of the vehicle drivability is not mentioned.
Therefore, a suspension modeling method for virtual calibration of vehicle drivability, which can meet the precision requirement and realize real-time calibration, is urgently needed to be created.
The method can acquire the physical characteristics of the suspension according to the type and the main research performance of the power assembly suspension, perform modeling according to the physical characteristics of the suspension and integrate the modeling into a finished automobile model, and simultaneously perform precision verification and real-time operation on the suspension model, and finally be used for virtual calibration of the drivability of the finished automobile. The suspension modeling method has the characteristics of simplicity, and meeting the virtual drivability calibration requirements in precision and real-time.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The embodiment of the invention provides a method and a device for processing characteristic parameters of a suspension and a vehicle, and at least solves the technical problem that the existing suspension modeling method in the whole vehicle drivability virtual calibration cannot meet the precision requirement and the real-time requirement at the same time.
According to an aspect of the embodiments of the present invention, there is provided a method for processing suspended feature parameters, including: by obtaining characteristic parameters of at least one suspension mounted between the powertrain and the frame, the characteristic parameters include: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and performing virtual calibration of the drivability of the whole vehicle based on the suspension model.
Optionally, the type of suspension comprises at least one of: rubber suspension, hydraulic suspension and air spring suspension.
Optionally, the physical characteristic parameter of the suspension point comprises at least one of: the position coordinates of the suspension points relative to the whole vehicle coordinate system, the rigidity of the suspension points relative to the three directions of the whole vehicle coordinate system and the damping of the suspension points relative to the three directions of the whole vehicle coordinate system.
Optionally, performing suspension modeling based on at least one characteristic parameter of the suspension, and obtaining a suspension model, including: reading physical characteristic parameters of suspension points where each suspension is located; at least acquiring acting force of each suspension point in different directions based on the physical characteristic parameter of each suspension point; extracting the longitudinal acting force of each suspension point from the acting forces in different directions; synthesizing the longitudinal acting force of each suspension point to generate the acting force of each suspension point in a single direction; and modeling based on the acting force of each suspension point in a single direction to generate a suspension model.
Optionally, after generating the suspension model, the method further comprises: and inputting a torque signal and a rotating speed signal of an engine of the vehicle into the suspension model, and outputting a suspension transmission torque value and a suspension deflection angle.
Optionally, after acquiring the suspension model, the method further comprises: integrating the suspension model into a whole vehicle physical model of the vehicle; and carrying out precision verification processing on the whole vehicle physical model integrated with the suspension model, and carrying out correction processing on the precision of the suspension model.
Optionally, the precision verification processing is performed on the whole vehicle physical model integrated with the suspension model, and the precision correction processing is performed on the suspension model, including: determining a driving condition to be verified, and acquiring at least one suspension characteristic parameter associated with the driving condition from a suspension model; collecting the actual operating condition of a suspension associated with a vehicle when the vehicle runs under a driving condition to be verified, wherein the actual operating condition is the actual characteristic parameter value of the suspension; performing virtual simulation on the driving condition to be verified, and comparing a simulation result with the acquired actual operation condition to obtain error data; if the error data exceeds a preset threshold value, adjusting parameters used for correcting suspension parameters in the adjusting model are taken; and correcting based on the adjusting parameters.
According to another aspect of the embodiments of the present invention, there is also provided a processing apparatus for processing characteristic parameters of a suspension, the suspension being installed between a powertrain and a frame, the apparatus including: an acquisition module for acquiring a characteristic parameter of at least one of the suspensions mounted on the vehicle, wherein the characteristic parameter comprises: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; the modeling module is used for carrying out suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and the calibration module is used for executing virtual calibration of the drivability of the whole vehicle based on the suspension model.
Optionally, the apparatus further comprises: the integrated module is used for integrating the suspension model into a whole vehicle physical model of the vehicle; and the precision verification module is used for performing precision verification processing on the whole vehicle physical model integrated with the suspension model and performing correction processing on the precision of the suspension model.
Optionally, the precision verification module comprises: the processing module is used for determining a driving condition to be verified and acquiring at least one suspension characteristic parameter associated with the driving condition from the suspension model; the system comprises an acquisition module, a verification module and a control module, wherein the acquisition module is used for acquiring the actual operating condition of a suspension associated with a vehicle when the vehicle runs under a driving condition to be verified, and the actual operating condition is the actual characteristic parameter value of the suspension; the simulation processing module is used for performing virtual simulation on the driving condition to be verified, and comparing a simulation result with the collected actual operation condition to obtain error data; the adjusting module is used for adjusting the adjusting parameters used for correcting the suspension parameters in the adjusting model if the error data exceeds a preset threshold value; and the correction module is used for correcting the precision of the suspension model based on the adjustment parameters.
According to another aspect of the embodiment of the invention, a vehicle is also provided, and the vehicle comprises a processing device of the characteristic parameters of the suspension, wherein the processing device of the characteristic parameters of the suspension executes the processing method of the characteristic parameters of the suspension.
In an embodiment of the invention, by obtaining characteristic parameters of at least one suspension mounted between the powertrain and the frame, the characteristic parameters include: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and performing virtual calibration of the drivability of the whole vehicle based on the suspension model. The processing method of the characteristic parameters of the suspension achieves the technical effect of meeting the virtual drivability calibration precision and the real-time performance, and solves the technical problem that the existing suspension modeling method in the whole vehicle drivability virtual calibration cannot meet the precision requirement and the real-time performance requirement at the same time.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for processing characteristic parameters of a suspension according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a suspension modeling according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of certain feature points suspended in a coordinate system of a vehicle according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a comparison of accuracy of suspension modeling according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a processing device for characteristic parameters of a suspension according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein.
Fig. 1 is a flowchart of a processing method of characteristic parameters of a suspension according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring characteristic parameters of at least one suspension mounted on a vehicle; wherein, the characteristic parameters include: the type of each suspension and the physical characteristic parameters of the suspension point where each suspension is located, wherein the characteristic parameters comprise: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located;
specifically, the type of powertrain mount used, such as rubber mount, hydraulic mount, air spring mount, or a combination thereof, is first determined, with different mount types having different characteristics and characteristic testing methods.
Based on the target research performance of the vehicle, physical characteristic parameters influencing the key performance of the suspension are extracted from all the parameters of the suspension according to the structure and the action mechanism of the suspension. The parameter acquisition method not only can simplify the modeling complexity, but also can ensure the precision and the calculation speed. For example, in the virtual calibration of the drivability, the position of each suspension, the stiffness in each direction, the damping in each direction, etc. are physical parameters that affect the critical performance of the suspension.
Step S104, performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model;
specifically, the suspension modeling is performed according to the type and physical characteristic parameters of the suspension, and the suspension modeling can generally use modeling software such as Simulink (simulation) or Amesim (vehicle simulation software).
Further, suspension modeling is generally performed based on the physical relative position and combination of the suspensions, one end of which is connected to the frame and the other end of which is connected to the powertrain housing. As shown in fig. 2, the suspension module a represents modeling of one of the suspension points, and the module includes all extracted characteristic points of the suspension that affect the drivability of the whole vehicle, such as a position coordinate (XpA YpA ZpA) of the suspension point a relative to the whole vehicle coordinate system, rigidities (XsA XFA, YsA YFA, ZsA ZFA) of the suspension point a relative to the whole vehicle coordinate system in three directions, damping (XdamperA YdamperA zdapera) of the suspension point a relative to the whole vehicle coordinate system in three directions, and the like, and the modeling methods of the rest of the suspension modules B, the suspension modules C, and the like are the same.
And S106, performing virtual calibration of the drivability of the whole vehicle based on the suspension model.
Specifically, the suspended physical model is integrated into a physical model of the whole vehicle, and after the model is subjected to precision verification and real-time implementation, the suspended physical model is applied to virtual calibration of the drivability of the whole vehicle.
Through the above embodiment of the present invention, the characteristic parameters of at least one suspension installed between the powertrain and the frame are obtained, and the characteristic parameters include: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and performing virtual calibration of the drivability of the whole vehicle based on the suspension model. The processing method of the characteristic parameters of the suspension achieves the technical effect of meeting the virtual drivability calibration precision and the real-time performance, and solves the technical problem that the existing suspension modeling method in the whole vehicle drivability virtual calibration cannot meet the precision requirement and the real-time performance requirement at the same time.
Optionally, the type of suspension comprises at least one of: rubber suspension, hydraulic suspension and air spring suspension.
Specifically, different powertrain mount types have different characteristics and characteristic testing methods. The suspension types in this embodiment include, but are not limited to, rubber suspensions, hydraulic suspensions, air spring suspensions, or combinations thereof.
Optionally, the physical characteristic parameter of the suspension point comprises at least one of: the position coordinates of the suspension points relative to the whole vehicle coordinate system, the rigidity of the suspension points relative to the three directions of the whole vehicle coordinate system and the damping of the suspension points relative to the three directions of the whole vehicle coordinate system.
Based on the target research performance of the vehicle, physical characteristic parameters influencing the key performance of the suspension are extracted from all the parameters of the suspension according to the structure and the action mechanism of the suspension. The fineness and complexity of the parameters are directly related to the precision of the researched performance, and the physical characteristic parameters can be obtained from a suspension designer or by a sample test mode. The parameter acquisition method not only can simplify the modeling complexity, but also can ensure the precision and the calculation speed.
When the target research performance is the drivability of the whole vehicle, the main physical characteristic parameters influencing the drivability of the whole vehicle comprise: the position coordinates of the suspension points relative to the whole vehicle coordinate system, the rigidity of the suspension points relative to the three directions of the whole vehicle coordinate system, the damping of the suspension points relative to the three directions of the whole vehicle coordinate system and the like.
The above feature points are merely illustrative of main feature points affecting suspension modeling in the driving virtual calibration, but are not limited to these feature points.
Optionally, performing suspension modeling based on at least one characteristic parameter of the suspension, and obtaining a suspension model, including: reading physical characteristic parameters of suspension points where each suspension is located; at least acquiring acting force of each suspension point in different directions based on the physical characteristic parameter of each suspension point; extracting the longitudinal acting force of each suspension point from the acting forces in different directions; synthesizing the longitudinal acting force of each suspension point to generate the acting force of each suspension point in a single direction; and modeling based on the acting force of each suspension point in a single direction to generate a suspension model.
Specifically, the target research performance is the drivability of the whole vehicle, and based on the main physical characteristic parameters affecting the drivability of the whole vehicle, the acting force of each suspension point in different directions is acquired: position coordinates relative to the vehicle coordinate system (Xp Yp Zp), stiffness of each suspension point relative to the vehicle coordinate system in three directions (Xs XF, Ys YF, Zs ZF), damping of each suspension point relative to the vehicle coordinate system in three directions (Xdamper Ydamper zamper). Fig. 3 is a schematic diagram of some feature points suspended in the coordinate system of the whole vehicle.
The main research direction of the whole vehicle driving performance is longitudinal direction, namely the vehicle advancing direction, the stress in three suspension directions is synthesized into longitudinal acting force through the synthesis module to perform suspension modeling, the model calculation amount can be greatly reduced on the premise of not influencing the research performance, and the model calculation speed is improved.
Optionally, after generating the suspension model, the method further comprises: and inputting a torque signal and a rotating speed signal of an engine of the vehicle into the suspension model, and outputting a suspension transmission torque value and a suspension deflection angle.
Specifically, when the target research performance is the drivability of the whole vehicle, the built suspension model mainly inputs a torque signal and an engine speed signal of the engine, and outputs a suspension transmission torque value and a suspension deflection angle, as shown in fig. 2.
Optionally, after acquiring the suspension model, the method further comprises: integrating the suspension model into a whole vehicle physical model of the vehicle; and carrying out precision verification processing on the whole vehicle physical model integrated with the suspension model, and carrying out correction processing on the precision of the suspension model.
Specifically, since the model is based on the results of theoretical and empirical value analysis, it is necessary to perform precision verification processing after integrating the suspension model into the entire vehicle physical model of the vehicle, and correct the suspension model according to the verification result.
Further, the accuracy of the virtually calibrated suspension model is verified and corrected through the characteristic of the deflection angle of the suspension. Specifically, the accuracy verification and correction of the suspension model are carried out according to the difference value of the actual suspension deflection angle and the virtual simulation suspension deflection angle.
Optionally, the precision verification processing is performed on the whole vehicle physical model integrated with the suspension model, and the precision correction processing is performed on the suspension model, including: determining a driving condition to be verified, and acquiring at least one suspension characteristic parameter associated with the driving condition from a suspension model; collecting the actual operating condition of a suspension associated with a vehicle when the vehicle runs under a driving condition to be verified, wherein the actual operating condition is the actual characteristic parameter value of the suspension; performing virtual simulation on the driving condition to be verified, and comparing a simulation result with the acquired actual operation condition to obtain error data; if the error data exceeds a preset threshold value, adjusting parameters used for correcting suspension parameters in the adjusting model are taken; and correcting the precision of the suspension model based on the adjusting parameters.
The simulation result may be a simulation curve. The simulation curve is compared with the collected actual operation condition, so that the error data can be more conveniently acquired.
Specifically, when precision verification is carried out, a certain set typical driving working condition of an actual vehicle is used as a driving working condition to be verified, characteristic parameters suspended under the working condition are obtained, current working condition data are collected and compared with the model simulation curve, if the error is within an allowable range, the model meets the requirement of accuracy, and if the error exceeds a preset threshold, adjustment parameters in the model are corrected. And after correction, repeating the steps until the error data is within a preset threshold range, and ensuring the accuracy of the established model so as to ensure the accuracy of the finished automobile driveability calibration.
For example, a process of repeatedly stepping on/releasing the accelerator is taken as a driving condition to be verified, and the deflection angle of the suspension on the actual vehicle is collected and compared with the deflection angle of the suspension in the virtual simulation. The suspension deflection angle of the real vehicle test is obtained by placing a corner sensor on the suspension, and if the errors of the actual suspension deflection angle and the virtual simulation suspension deflection angle are large, the accuracy of the model can be corrected by adjusting key parameters influencing the suspension deflection angle in the model until the requirements are met.
The precision comparison diagram of the operating condition suspension modeling is shown in FIG. 4. Wherein FIG. 4 includes a first view and a second view, the first view being positioned above the second view. The solid line in the first graph is a torque output curve generated by repeatedly stepping on the accelerator, the same torque output curve is input into the model for model precision verification, after relevant influence parameters are adjusted for multiple times, the solid line and the dotted line in the second graph are a real vehicle test curve and a simulation curve respectively, and the second graph shows that the coincidence degree of the simulation result of the verified model and the actually measured curve is good, only a little deviation exists in few transient working conditions, and the model precision requirement is met.
Example 2
According to the embodiment of the present invention, a suspended characteristic parameter processing apparatus is further provided, and the apparatus may execute the motor control method in the foregoing embodiment, and a specific implementation manner and a preferred application scenario are the same as those in the foregoing embodiment, and are not described herein again.
Fig. 5 is a schematic diagram of a characteristic parameter processing device of a suspension according to an embodiment of the present invention, as shown in fig. 5, the device includes:
an obtaining module 502 for obtaining a characteristic parameter of at least one of the suspensions mounted on the vehicle, wherein the characteristic parameter comprises: the type of each suspension, and the physical characteristic parameters of the suspension point where each suspension is located; the modeling module 504 is used for performing suspension modeling based on at least one characteristic parameter of the suspension to obtain a suspension model; and a calibration module 506, configured to perform virtual calibration of drivability of the whole vehicle based on the suspension model.
Optionally, the type of suspension comprises at least one of: rubber suspension, hydraulic suspension and air spring suspension.
Optionally, the physical characteristic parameter of the suspension point comprises at least one of: the position coordinates of the suspension points relative to the whole vehicle coordinate system, the rigidity of the suspension points relative to the three directions of the whole vehicle coordinate system and the damping of the suspension points relative to the three directions of the whole vehicle coordinate system.
Optionally, the obtaining module includes: the reading unit is used for reading the physical characteristic parameters of the suspension points where each suspension is located; the acquisition unit is used for at least acquiring acting force of each suspension point in different directions based on the physical characteristic parameter of each suspension point; an extraction unit for extracting a longitudinal force of each suspension point from forces in different directions; the synthesis unit is used for synthesizing the longitudinal acting force of each suspension point and generating the acting force of each suspension point in a single direction; and the modeling unit is used for modeling based on the acting force of each suspension point in a single direction to generate a suspension model.
Optionally, the apparatus further comprises: and the output module is used for inputting a torque signal and a rotating speed signal of an engine of the vehicle into the suspension model and outputting a suspension transmission torque value and a suspension deflection angle.
Optionally, the apparatus further comprises: the integrated module is used for integrating the suspension model into a whole vehicle physical model of the vehicle; and the precision verification module is used for performing precision verification processing on the whole vehicle physical model integrated with the suspension model and performing correction processing on the precision of the suspension model.
Optionally, the precision verification module comprises: the processing module is used for determining a driving condition to be verified and acquiring at least one suspension characteristic parameter associated with the driving condition from the suspension model; the system comprises an acquisition module, a verification module and a control module, wherein the acquisition module is used for acquiring the actual operating condition of a suspension associated with a vehicle when the vehicle runs under a driving condition to be verified, and the actual operating condition is the actual characteristic parameter value of the suspension; the simulation processing module is used for performing virtual simulation on the driving condition to be verified, and comparing a simulation result with the collected actual operation condition to obtain error data; the adjusting module is used for adjusting the adjusting parameters used for correcting the suspension parameters in the adjusting model if the error data exceeds a preset threshold value; and the correction module is used for correcting the precision of the suspension model based on the adjustment parameters.
Example 3
According to another aspect of the embodiment of the invention, a vehicle is also provided, and the vehicle comprises a processing device of the characteristic parameters of the suspension, wherein the processing device of the characteristic parameters of the suspension executes the processing method of the characteristic parameters of the suspension.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (11)
1. A method of processing a characteristic parameter of a suspension mounted between a powertrain and a vehicle frame, the method comprising:
acquiring characteristic parameters of at least one suspension mounted on a vehicle, wherein the characteristic parameters comprise: the type of each suspension and the physical characteristic parameters of the suspension point where each suspension is located;
performing suspension modeling based on the characteristic parameters of the at least one suspension to obtain a suspension model;
and executing the driveability virtual calibration of the whole vehicle based on the suspension model.
2. The method of claim 1, wherein the type of suspension comprises at least one of: rubber suspension, hydraulic suspension and air spring suspension.
3. The method of claim 1, wherein the physical characteristic parameters of the suspension points comprise at least one of: the damping device comprises a suspension point, a position coordinate of the suspension point relative to a whole vehicle coordinate system, rigidity of the suspension point relative to three directions of the whole vehicle coordinate system, and damping of the suspension point relative to three directions of the whole vehicle coordinate system.
4. The method of claim 3, wherein performing suspension modeling based on the characteristic parameters of the at least one suspension, and obtaining a suspension model comprises:
reading physical characteristic parameters of a suspension point where each suspension is located;
at least acquiring acting force of each suspension point in different directions based on the physical characteristic parameter of each suspension point;
extracting the longitudinal force of each suspension point from the forces in the different directions;
synthesizing the longitudinal acting force of each suspension point to generate the acting force of each suspension point in a single direction;
and modeling based on the acting force of each suspension point in a single direction to generate the suspension model.
5. The method of claim 4, wherein after generating the suspension model, the method further comprises: and inputting a torque signal and a rotating speed signal of an engine of the vehicle to the suspension model, and outputting a suspension transmission torque value and a suspension deflection angle.
6. The method of any of claims 1-5, wherein after acquiring the suspension model, the method further comprises:
integrating the suspension model into a full vehicle physical model of the vehicle;
and carrying out precision verification processing on the whole vehicle physical model integrated with the suspension model, and carrying out correction processing on the precision of the suspension model.
7. The method of claim 6, wherein the precision verification processing is performed on the physical model of the whole vehicle integrated with the suspension model, and the precision correction processing is performed on the suspension model, and the precision correction processing comprises the following steps:
determining a driving condition to be verified, and acquiring at least one suspension characteristic parameter associated with the driving condition from the suspension model;
collecting the actual operating condition of the suspension associated with the vehicle when the vehicle runs under the driving condition to be verified, wherein the actual operating condition is the actual characteristic parameter value of the suspension;
performing virtual simulation on the driving condition to be verified, and comparing a simulation result with the collected actual operation condition to obtain error data;
if the error data exceeds a preset threshold value, adjusting parameters used for correcting suspension parameters in the adjusting model are taken;
and correcting the precision of the suspension model based on the adjusting parameters.
8. A device for processing characteristic parameters of a suspension mounted between a powertrain and a vehicle frame, the device comprising:
an acquisition module for acquiring characteristic parameters of at least one suspension mounted on a vehicle, wherein the characteristic parameters include: the type of each suspension and the physical characteristic parameters of the suspension point where each suspension is located;
the modeling module is used for carrying out suspension modeling based on the characteristic parameters of the at least one suspension to obtain a suspension model;
and the calibration module is used for executing virtual calibration of the drivability of the whole vehicle based on the suspension model.
9. The apparatus of claim 8, further comprising:
the integration module is used for integrating the suspension model into a whole vehicle physical model of the vehicle;
and the precision verification module is used for performing precision verification processing on the whole vehicle physical model integrated with the suspension model and correcting the precision of the suspension model.
10. The apparatus of claim 9, wherein the accuracy verification module comprises:
the processing module is used for determining a driving condition to be verified and acquiring at least one suspension characteristic parameter associated with the driving condition from the suspension model;
the acquisition module is used for acquiring the actual operating condition of the suspension associated with the vehicle when the vehicle runs under the driving condition to be verified, wherein the actual operating condition is the actual characteristic parameter value of the suspension;
the simulation processing module is used for performing virtual simulation on the driving working condition to be verified, and comparing a simulation result with the collected actual operation working condition to obtain error data;
the adjusting module is used for adjusting the adjusting parameters used for correcting the suspension parameters in the adjusting model if the error data exceeds a preset threshold value;
and the correction module is used for correcting the precision of the suspension model based on the adjusting parameters.
11. A vehicle comprising means for processing the characteristic parameters of the suspension, wherein said means are operable to perform the method for processing the characteristic parameters of the suspension of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111567375.2A CN114357612A (en) | 2021-12-20 | 2021-12-20 | Processing method and device for characteristic parameters of suspension and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111567375.2A CN114357612A (en) | 2021-12-20 | 2021-12-20 | Processing method and device for characteristic parameters of suspension and vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114357612A true CN114357612A (en) | 2022-04-15 |
Family
ID=81101442
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111567375.2A Pending CN114357612A (en) | 2021-12-20 | 2021-12-20 | Processing method and device for characteristic parameters of suspension and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114357612A (en) |
-
2021
- 2021-12-20 CN CN202111567375.2A patent/CN114357612A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110411757B (en) | Shaft head dynamic load calculation method, device, equipment and storage medium | |
| WO2008156678A1 (en) | Virtual sensor system and method | |
| CN102867075A (en) | Acceleration frequency response analysis-based body floor optimal design method | |
| CN109684782A (en) | Vehicle grade Road Simulation Test method | |
| CN109255105B (en) | ECU data calibration method and device | |
| CN111950179A (en) | Method and device for predicting noise of whole vehicle, computer equipment and storage medium | |
| CN111721547A (en) | Plateau hill start analysis input data acquisition method, device, equipment and storage medium | |
| CN112595528A (en) | Method for identifying driving side exciting force of power assembly suspension under vehicle running condition | |
| CN114462188A (en) | Road load testing method and device, electronic equipment and storage medium | |
| KR101282417B1 (en) | Apparatus and method for making CAN data file for test | |
| CN114357612A (en) | Processing method and device for characteristic parameters of suspension and vehicle | |
| CN113191071A (en) | Method for virtually calibrating engine model and related device thereof | |
| CN111090959B (en) | Vehicle load spectrum acquisition method and system | |
| CN116595823A (en) | Method, device, equipment and medium for detecting mechanical property of power battery | |
| CN113239458B (en) | Whole vehicle road noise simulation benchmarking method based on virtual road surface | |
| US6850921B1 (en) | Method for cascading vehicle system targets to component level design objectives | |
| WO2005020005A2 (en) | Providing support for structural converage testing | |
| CN113155486A (en) | Durability simulation test method and system for power assembly suspension system | |
| CN113656994A (en) | Method and device for acquiring suspension force of automobile suspension system | |
| CN113640010A (en) | Vehicle attitude simulation method and system based on real-time synchronous data acquisition | |
| CN114896708B (en) | Vehicle frame quality attribute quantification method and system | |
| CN116956614A (en) | Method, device, equipment and storage medium for selecting vehicle system | |
| Vasiliu et al. | Hardware-in-the-loop simulation for electric powertrains | |
| CN114462150A (en) | Virtual calibration method for automobile safety airbag controller and vehicle | |
| Akutain et al. | Development of a steering characteristics optimization process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |