CN114879536A - Method and device for acquiring real-time characteristics of suspension system based on digital twinning technology - Google Patents
Method and device for acquiring real-time characteristics of suspension system based on digital twinning technology Download PDFInfo
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Abstract
The invention discloses a method and a device for acquiring real-time characteristics of a suspension system based on a digital twinning technology, wherein the method comprises the following steps: collecting mechanical change and displacement change signals of a suspension system; calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system; building a finished automobile simulation model, and performing iterative updating of the characteristics of a suspension system and simulation of finished automobile operation stability and smoothness according to the obtained hysteresis force curve; and outputting optimized suspension damping and rigidity parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target. The invention can obtain the real-time suspension characteristics without using a rack, and transmits the result to the whole vehicle simulation model in real time, thereby meeting the requirement of digital twin calculation, greatly simplifying the design process of the suspension system, improving the efficiency and the precision and shortening the development cycle of the suspension system.
Description
Technical Field
The invention relates to a method and a device for acquiring real-time characteristics of a suspension system based on a digital twinning technology, and belongs to the technical field of animation production.
Background
In the forward development of automobiles, the suspension system is the most important subsystem, namely, all the force and moment transmission connecting devices between the frame and the wheels of the automobile, the function of the suspension system is to transmit the force and the moment acting between the wheels and the frame, and buffer the impact force transmitted to the frame or the automobile body from an uneven road surface and damp the vibration caused by the impact force, so as to ensure that the automobile can run smoothly and safely. The rigidity and damping characteristics (generally called as suspension system characteristics) of a suspension system have a crucial influence on the steering stability and smoothness of an automobile, the accuracy of a suspension system characteristic result and the economy of an acquisition means directly influence the development cycle and the cost of the whole automobile, and how to acquire accurate suspension characteristics by adopting a lower-cost and higher-efficiency means is a problem which needs to be solved urgently.
The existing suspension system mainly designs the characteristics of the suspension system according to the operation stability and the smoothness of the whole vehicle by combining experience or a calibration result, and a suspension sample which is manufactured in a trial mode needs to be installed on a professional test bed, a relevant test is carried out to obtain characteristic parameters, and the characteristic parameters are used as boundary conditions and input to a multi-body dynamic model of the whole vehicle for use.
However, the performance of the existing suspension system is mainly acquired by a professional test bed, so that the acquisition cost is high and professional equipment is seriously relied on; the simulation model is constructed according to the given input of the bench result, the influence of the assembly state of the real vehicle on the characteristics of the suspension system is not considered, so that the simulation precision is lower and the result is influenced; meanwhile, the characteristic acquisition process and the whole vehicle simulation are performed in sequence, and real-time interaction cannot be realized, so that the development cycle is greatly limited.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a device for acquiring the real-time characteristics of a suspension system based on a digital twinning technology, which can acquire the real-time suspension characteristics without using a rack, transmit the results to a whole vehicle simulation model in real time, meet the requirements of digital twinning calculation and shorten the development period of the suspension system.
The technical scheme adopted for solving the technical problem is as follows:
on one hand, the method for acquiring the real-time characteristics of the suspension system based on the digital twinning technology provided by the embodiment of the invention comprises the following steps:
collecting mechanical change and displacement change signals of a suspension system;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system;
building a finished automobile simulation model, and performing iterative updating of the characteristics of a suspension system and simulation of finished automobile operation stability and smoothness according to the obtained hysteresis force curve;
and outputting optimized suspension damping and rigidity parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target.
As a possible implementation manner of this embodiment, the acquiring signals of the mechanical change and the displacement change of the suspension system includes:
collecting pressure data of a suspension shock absorber;
and collecting displacement data of the suspension leaf spring.
As a possible implementation manner of this embodiment, the obtaining a hysteresis force curve of a suspension system by performing calculation using a linear identification algorithm of a momentum includes:
taking the mechanical change and displacement change signals of the suspension system as input conditions, and calculating by utilizing a linear identification algorithm of the driving amount to obtain a hysteresis force curve of the suspension system; the hysteresis curves of the suspension system include those of the shock absorber and those of the leaf spring.
As a possible implementation manner of this embodiment, building a complete vehicle simulation model, performing iterative update of suspension system characteristics according to a hysteresis force curve obtained in the simulation model, and performing simulation of stability and smoothness of the complete vehicle operation includes:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
and (4) building a finished automobile simulation model, performing iterative updating on the characteristics of the suspension system according to the obtained hysteresis force curve, and performing simulation on the stability and smoothness of finished automobile operation.
As a possible implementation manner of this embodiment, in the iterative update process of the characteristics of the suspension system, the Isight software is used as a central software and is responsible for iteratively calling the linear identification algorithm with momentum and the entire vehicle simulation model, and the linear identification algorithm with momentum and the entire vehicle simulation model are cooperatively matched in the iterative update process.
As a possible implementation manner of this embodiment, the outputting, by the vehicle simulation model, optimized suspension damping and stiffness parameters according to the set vehicle handling stability and smoothness target includes:
and outputting optimized suspension damping and stiffness parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target, performing suspension trial production of the next round and whole vehicle real vehicle test verification according to the optimized suspension damping and stiffness parameters until the whole vehicle acceptance standard is met, and outputting the finally optimized suspension damping and stiffness parameters by the whole vehicle simulation model.
On the other hand, the device for acquiring the real-time characteristic of the suspension system based on the digital twinning technology comprises a sensor and a suspension system real-time characteristic acquisition device, wherein the suspension system real-time characteristic acquisition device is provided with linear recognition algorithm software with momentum and whole vehicle simulation model software, the sensor is arranged between an upper mounting point and a lower mounting point of a suspension shock absorber and is used for acquiring mechanical change and displacement change signals of the suspension system; the linear identification algorithm software of the momentum calculates by using a linear identification algorithm of the momentum to obtain a hysteresis force curve of the suspension system; the whole vehicle simulation model software builds a whole vehicle simulation model, and carries out iterative updating on the characteristics of a suspension system and simulation on the stability and smoothness of the whole vehicle operation according to the obtained hysteresis force curve; and the whole vehicle simulation model software also outputs optimized suspension damping and rigidity parameters according to the set whole vehicle operation stability and smoothness target.
As a possible implementation manner of this embodiment, the sensor includes a pressure sensor and a displacement sensor, the pressure sensor collects pressure data of the suspension shock absorber, and the displacement sensor collects displacement data of the suspension leaf spring.
As a possible implementation manner of this embodiment, the linear identification algorithm software with motion amount is specifically configured to: taking the mechanical change and displacement change signals of the suspension system as input conditions, and calculating by utilizing a linear identification algorithm of the driving amount to obtain a hysteresis force curve of the suspension system; the hysteresis curves of the suspension system include those of the shock absorber and those of the leaf spring.
As a possible implementation manner of this embodiment, the entire vehicle simulation model software is specifically configured to:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
building a finished automobile simulation model, performing iterative updating on the characteristics of a suspension system according to the obtained hysteresis force curve, and performing simulation on finished automobile operation stability and smoothness;
and according to the set stability and smoothness target of the whole vehicle, the whole vehicle simulation model outputs optimized suspension damping and rigidity parameters, and performs suspension trial production and whole vehicle real vehicle test verification of the next round according to the optimized suspension damping and rigidity parameters until the whole vehicle acceptance standard is met, and the whole vehicle simulation model outputs the final optimized suspension damping and rigidity parameters.
As a possible implementation manner of this embodiment, the suspension system real-time characteristic obtaining device is further equipped with Isight software, which is used as pivot software, and is responsible for invoking the linear identification algorithm with momentum and the finished automobile simulation model in an iterative update process of the suspension system characteristics in an iterative manner, and enabling the linear identification algorithm and the finished automobile simulation model to cooperate with each other in the iterative update process.
The technical scheme of the embodiment of the invention has the following beneficial effects:
the invention can obtain the real-time suspension characteristics without using a rack, and transmits the result to the whole vehicle simulation model in real time, thereby meeting the requirement of digital twin calculation, greatly simplifying the design process of the suspension system, improving the efficiency and the precision and shortening the development cycle of the suspension system.
According to the invention, the sensor is arranged between the upper mounting point and the lower mounting point of the shock absorber, the pressure sensor and the displacement sensor are arranged in the sensor, under the running state of a vehicle, the data of force and plate spring displacement are acquired according to the position change of the upper mounting point and the lower mounting point, and the sampling point can be set according to the requirement; force and displacement data are synchronously transmitted to a linear identification algorithm with momentum built in a computer, and a hysteresis force curve of a suspension system (comprising a shock absorber and a plate spring) can be obtained within 2.5 ms; the simulation model obtains a hysteresis force curve to perform relevant simulation work (such as vehicle dynamics simulation and ride comfort simulation), when the working condition changes, the hysteresis force changes in real time, and the simulation model can obtain a new result in real time. Compared with the prior art, the invention has the following characteristics: 1) the acquisition of the suspension characteristic result does not depend on a rack, is directly acquired on the whole vehicle, and has low cost and short time; 2) the characteristics obtained by the method are more suitable for the real vehicle state and have high precision; 3) the characteristic parameter identification can be completed within 2.5ms, the real-time interaction of simulation and real vehicles can be realized, digital twin calculation can be performed, and the development period of a suspension system is shortened.
Drawings
FIG. 1 is a flow diagram illustrating a method for obtaining real-time suspension system characteristics based on a digital twinning technique in accordance with an exemplary embodiment;
FIG. 2 is a block diagram of an apparatus for obtaining real-time suspension system characteristics based on a digital twinning technique in accordance with an exemplary embodiment;
FIG. 3 is a functional diagram illustrating an apparatus for deriving real-time suspension system characteristics based on digital twinning techniques in accordance with an exemplary embodiment.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
in order to clearly explain the technical features of the present invention, the present invention will be explained in detail by the following embodiments and the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, a method for acquiring real-time characteristics of a suspension system based on a digital twinning technique according to an embodiment of the present invention includes the following steps:
collecting mechanical change and displacement change signals of a suspension system;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system;
building a finished automobile simulation model, and performing iterative updating of the characteristics of a suspension system and simulation of finished automobile operation stability and smoothness according to the obtained hysteresis force curve;
and outputting optimized suspension damping and rigidity parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target.
As a possible implementation manner of this embodiment, the acquiring signals of the mechanical change and the displacement change of the suspension system includes:
collecting pressure data of a suspension shock absorber;
and collecting displacement data of the suspension leaf spring.
As a possible implementation manner of this embodiment, the obtaining a hysteresis force curve of a suspension system by performing calculation using a linear identification algorithm of a momentum includes:
taking the mechanical change and displacement change signals of the suspension system as input conditions, and calculating by utilizing a linear identification algorithm of the driving amount to obtain a hysteresis force curve of the suspension system; the hysteresis curves of the suspension system include those of the shock absorber and the leaf spring.
As a possible implementation manner of this embodiment, building a complete vehicle simulation model, performing iterative update of suspension system characteristics according to a hysteresis force curve obtained in the simulation model, and performing simulation of stability and smoothness of the complete vehicle operation includes:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
and (4) building a finished automobile simulation model, performing iterative updating on the characteristics of the suspension system according to the obtained hysteresis force curve, and performing simulation on the stability and smoothness of finished automobile operation.
As a possible implementation manner of this embodiment, in the iterative update process of the characteristics of the suspension system, the Isight software is used as a central software and is responsible for iteratively calling the linear identification algorithm with momentum and the entire vehicle simulation model, and the linear identification algorithm with momentum and the entire vehicle simulation model are cooperatively matched in the iterative update process.
As a possible implementation manner of this embodiment, the outputting, by the vehicle simulation model, optimized suspension damping and stiffness parameters according to the set vehicle handling stability and smoothness target includes:
and outputting optimized suspension damping and stiffness parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target, performing suspension trial production of the next round and whole vehicle real vehicle test verification according to the optimized suspension damping and stiffness parameters until the whole vehicle acceptance standard is met, and outputting the finally optimized suspension damping and stiffness parameters by the whole vehicle simulation model.
As shown in fig. 2, the device for acquiring the real-time characteristic of the suspension system based on the digital twinning technology provided by the embodiment of the invention comprises a sensor and a suspension system real-time characteristic acquiring device, wherein the suspension system real-time characteristic acquiring device is provided with linear recognition algorithm software with momentum and whole vehicle simulation model software, the sensor is arranged between an upper mounting point and a lower mounting point of a suspension shock absorber and is used for acquiring mechanical change and displacement change signals of the suspension system; the linear identification algorithm software of the momentum calculates by using a linear identification algorithm of the momentum to obtain a hysteresis force curve of the suspension system; the whole vehicle simulation model software builds a whole vehicle simulation model, and carries out iterative updating on the characteristics of a suspension system and simulation on the stability and smoothness of the whole vehicle operation according to the obtained hysteresis force curve; and the whole vehicle simulation model software also outputs optimized suspension damping and stiffness parameters according to the set whole vehicle operation stability and smoothness target.
As a possible implementation manner of this embodiment, the sensor includes a pressure sensor and a displacement sensor, the pressure sensor collects pressure data of the suspension shock absorber, and the displacement sensor collects displacement data of the suspension leaf spring.
As a possible implementation manner of this embodiment, the linear identification algorithm software with momentum is specifically configured to: taking the mechanical change and displacement change signals of the suspension system as input conditions, and calculating by utilizing a linear identification algorithm of the driving amount to obtain a hysteresis force curve of the suspension system; the hysteresis curves of the suspension system include those of the shock absorber and those of the leaf spring.
As a possible implementation manner of this embodiment, the entire vehicle simulation model software is specifically configured to:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
building a finished automobile simulation model, performing iterative updating on the characteristics of a suspension system according to the obtained hysteresis force curve, and performing simulation on finished automobile operation stability and smoothness;
and outputting optimized suspension damping and stiffness parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target, performing suspension trial production of the next round and whole vehicle real vehicle test verification according to the optimized suspension damping and stiffness parameters until the whole vehicle acceptance standard is met, and outputting the finally optimized suspension damping and stiffness parameters by the whole vehicle simulation model.
As a possible implementation manner of this embodiment, the suspension system real-time characteristic obtaining device is further equipped with Isight software, which is used as pivot software, and is responsible for invoking the linear identification algorithm with momentum and the finished automobile simulation model in an iterative update process of the suspension system characteristics in an iterative manner, and enabling the linear identification algorithm and the finished automobile simulation model to cooperate with each other in the iterative update process.
As shown in FIG. 3, the invention provides a system for acquiring suspension characteristics in real time and performing digital twinning calculation based on the state of a whole vehicle, by adopting the system, the real-time suspension characteristics can be acquired without using a rack, the result is transmitted to a whole vehicle simulation model in real time, and the digital twinning calculation is performed, the system mainly comprises a sensor, a linear recognition algorithm with momentum, a simulation model and a suspension system, and the working principle of the system is as follows.
1. The suspension is installed and is carried out the real car experiment on the whole car, and installs the sensor between the mounting point about the suspension bumper shock absorber, and the inside contains pressure and displacement sensor, and under the vehicle running state, according to the position change of mounting point about, the data of acquisition power and leaf spring displacement, the sampling point can be according to the demand setting.
2. The acquired force and displacement signals are synchronously input into Matlab software as input conditions, a linear identification algorithm with momentum is operated in the Matlab software (the author notes that the part has been published as a core content and is not suggested to be explained as an important point in a patent), and a hysteresis force curve (namely suspension system characteristics) of a suspension system (comprising a shock absorber and a leaf spring) can be obtained within 2.5 ms.
3. And (3) building a finished automobile simulation model by using Trucksim software, comparing and checking with a basic real automobile test result before the whole iteration is started so as to confirm the simulation precision of the model (checking is only needed once), updating the characteristics of the suspension system according to the hysteresis force curve obtained in the step, and simulating the operation stability and the smoothness of the finished automobile.
4. In the iterative updating process, Isight software is used as central software and is responsible for invoking the Matlab software and the Trucksim software in an iterative mode, and therefore cooperation of the Isight software and the Trucksim software in each iterative process is achieved.
5. And outputting optimized suspension damping and rigidity parameters by Trucksim software according to a set finished vehicle operation stability and smoothness target, and performing suspension trial production and finished vehicle real-time test verification on the next round according to the parameters until the finished vehicle acceptance standard is met.
After the invention is adopted, the design flow of the whole suspension system is greatly simplified, thereby improving the efficiency and the precision. The suspension design process adopting the invention is as follows:
1. designing the characteristic of the suspension system by a designer;
2. trial production of a suspension and a whole vehicle is carried out;
3. building a finished automobile multi-body dynamics simulation model, carrying out a finished automobile test, and carrying out real-time interactive updating on a test result and the simulation model by using the method;
4. and completing the development work.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for acquiring real-time characteristics of a suspension system based on a digital twinning technology is characterized by comprising the following steps:
collecting mechanical change and displacement change signals of a suspension system;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system;
building a finished automobile simulation model, and performing iterative updating of the characteristics of a suspension system and simulation of finished automobile operation stability and smoothness according to the obtained hysteresis force curve;
and outputting optimized suspension damping and rigidity parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target.
2. The method for acquiring the real-time characteristics of the suspension system based on the digital twin technology as claimed in claim 1, wherein the acquiring of the mechanical change and displacement change signals of the suspension system comprises:
collecting pressure data of a suspension shock absorber;
and collecting displacement data of the suspension leaf spring.
3. The method for acquiring the real-time characteristic of the suspension system based on the digital twin technology as claimed in claim 1, wherein the calculating by using the linear identification algorithm of the momentum to acquire the hysteresis force curve of the suspension system comprises:
taking the mechanical change and displacement change signals of the suspension system as input conditions, and calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system; the hysteresis curves of the suspension system include those of the shock absorber and those of the leaf spring.
4. The method for acquiring the real-time characteristics of the suspension system based on the digital twinning technology as claimed in claim 1, wherein a finished automobile simulation model is built, iterative updating of the characteristics of the suspension system is performed according to the hysteresis force curve obtained in the simulation model, and the simulation of the stability and the smoothness of finished automobile operation is performed, and the method comprises the following steps:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
and (4) building a finished automobile simulation model, performing iterative updating on the characteristics of the suspension system according to the obtained hysteresis force curve, and performing simulation on the stability and smoothness of finished automobile operation.
5. The method for acquiring the real-time characteristics of the suspension system based on the digital twin technology as claimed in claim 1, wherein in the iterative update process of the characteristics of the suspension system, Isight software is used as central software and is responsible for iteratively calling a linear identification algorithm with momentum and a finished automobile simulation model, and the linear identification algorithm with momentum and the finished automobile simulation model are cooperatively matched in the iterative update process.
6. The method for acquiring the real-time characteristics of the suspension system based on the digital twinning technology as claimed in any one of claims 1 to 5, wherein the step of outputting optimized suspension damping and stiffness parameters by a finished automobile simulation model according to the set finished automobile operation stability and smoothness target comprises the following steps:
and outputting optimized suspension damping and stiffness parameters by the whole vehicle simulation model according to the set whole vehicle operation stability and smoothness target, performing suspension trial production of the next round and whole vehicle real vehicle test verification according to the optimized suspension damping and stiffness parameters until the whole vehicle acceptance standard is met, and outputting the finally optimized suspension damping and stiffness parameters by the whole vehicle simulation model.
7. A device for acquiring real-time characteristics of a suspension system based on a digital twinning technology is characterized by comprising a sensor and a suspension system real-time characteristic acquisition device, wherein the suspension system real-time characteristic acquisition device is provided with linear recognition algorithm software with momentum and whole vehicle simulation model software, the sensor is arranged between an upper mounting point and a lower mounting point of a suspension shock absorber and is used for acquiring mechanical change and displacement change signals of the suspension system; the linear identification algorithm software of the momentum calculates by using a linear identification algorithm of the momentum to obtain a hysteresis force curve of the suspension system; the whole vehicle simulation model software builds a whole vehicle simulation model, and carries out iterative updating on the characteristics of a suspension system and simulation on the stability and smoothness of the whole vehicle operation according to the obtained hysteresis force curve; and the whole vehicle simulation model software also outputs optimized suspension damping and stiffness parameters according to the set whole vehicle operation stability and smoothness target.
8. The apparatus for acquiring the real-time characteristic of the suspension system based on the digital twin technology as claimed in claim 7, wherein the sensor comprises a pressure sensor and a displacement sensor, the pressure sensor acquires pressure data of a suspension shock absorber, and the displacement sensor acquires displacement data of a suspension leaf spring.
9. The device for acquiring the real-time characteristics of the suspension system based on the digital twinning technology as claimed in claim 7, wherein the whole vehicle simulation model software is specifically configured to:
carrying out real vehicle test on the suspension system and taking the obtained hysteresis force curve of the suspension system as a basic real vehicle test result;
calculating by utilizing a linear identification algorithm with momentum to obtain a hysteresis force curve of the suspension system, and comparing and checking with a basic real vehicle test result;
building a finished automobile simulation model, performing iterative updating on the characteristics of a suspension system according to the obtained hysteresis force curve, and performing simulation on finished automobile operation stability and smoothness;
and according to the set stability and smoothness target of the whole vehicle, the whole vehicle simulation model outputs optimized suspension damping and rigidity parameters, and performs suspension trial production and whole vehicle real vehicle test verification of the next round according to the optimized suspension damping and rigidity parameters until the whole vehicle acceptance standard is met, and the whole vehicle simulation model outputs the final optimized suspension damping and rigidity parameters.
10. The device for acquiring the real-time characteristics of the suspension system based on the digital twin technology as claimed in any one of claims 7 to 9, wherein Isight software is further installed on the device for acquiring the real-time characteristics of the suspension system, the Isight software is used as central software, and in the iterative updating process of the characteristics of the suspension system, the device is responsible for iteratively calling a linear identification algorithm with momentum and a finished automobile simulation model, and the linear identification algorithm with momentum and the finished automobile simulation model are cooperatively matched in the iterative updating process.
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