CN118211330A - Chassis hub bearing unit lightweight system of heavy-duty commercial vehicle - Google Patents
Chassis hub bearing unit lightweight system of heavy-duty commercial vehicle Download PDFInfo
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Abstract
The invention discloses a chassis hub bearing unit light-weight system of a heavy-duty commercial vehicle, relates to the technical field of vehicle light-weight, and solves the technical problems that a large number of schemes are difficult to generate rapidly according to vehicle characteristics, the schemes are difficult to screen for multiple times, and more proper light-weight schemes are difficult to screen; comprising the following steps: the light scheme generation module is as follows: according to the requirements of a heavy-duty commercial vehicle, performing performance evaluation on materials through material simulation software, respectively screening materials of a proper chassis, a proper hub and a proper bearing, and respectively combining the materials of the proper chassis, the proper hub and the proper bearing with the screened structural design scheme to obtain a lightweight scheme of a chassis hub bearing unit; the material simulation software can quickly obtain a large number of proper materials by evaluating the performance of the materials, and the large number of proper materials are combined with the screened qualified lightweight schemes in sequence, so that the material simulation software is favorable for quickly obtaining a large number of qualified lightweight schemes, and is convenient for later screening to obtain a better scheme.
Description
Technical Field
The invention belongs to the field of vehicle weight reduction, and particularly relates to a chassis hub bearing unit weight reduction system of a heavy-duty commercial vehicle.
Background
Heavy-duty commercial vehicles refer to commercial vehicles for transporting heavy goods or large quantities of goods. The vehicles generally have higher loading capacity and capability of adapting to different road conditions and working conditions, and are mainly used for occasions requiring mass material transportation such as freight logistics, construction sites and the like.
The chassis hub bearing unit light-weight system of the heavy-duty commercial vehicle refers to a system which is designed and optimized for light weight of the components such as the chassis, the hub and the bearing of the heavy-duty commercial vehicle. The weight of the structural parts of the vehicle is reduced by adopting means of new materials, structural optimization, process improvement and the like, so that the load carrying capacity of the vehicle is improved, the fuel consumption is reduced, the running performance is improved, and the influence on the environment is reduced.
Most of the proposal generation stage calculates various parameters of the proposal, so the proposal has more limitation, is difficult to quickly generate a large number of proposal according to the vehicle characteristics, carries out multiple screening on the proposal, improves the vehicle performance under the condition of considering the light weight of the whole vehicle, and is difficult to screen more proper light weight proposal.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a chassis hub bearing unit light-weight system of a heavy-duty commercial vehicle, which is used for solving the technical problems that a large number of schemes are difficult to generate rapidly according to the characteristics of the vehicle, the schemes are screened for multiple times, the performance of the vehicle is improved under the condition that the whole vehicle is light-weight, and more suitable light-weight schemes are difficult to screen.
To solve the above problems, a first aspect of the present invention provides a chassis hub bearing unit lightweight system of a heavy-duty commercial vehicle, comprising:
And a data analysis module: the system is used for detecting the operation data of the chassis hub bearing unit when a heavy-duty commercial vehicle runs, analyzing the vibration data of the chassis hub bearing unit according to the operation data, and obtaining the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle runs normally;
the structural design module comprises: the method is used for designing the structure and parameters of the chassis hub bearing unit through a computer aided design and simulation technology to obtain a structural design scheme;
Aerodynamic analysis module: according to the operation data of the data analysis module, adopting aerodynamic simulation software to analyze and screen different structural design schemes;
The light scheme generation module is as follows: according to the requirements of a heavy-duty commercial vehicle, performing performance evaluation on materials through material simulation software, respectively screening materials of a proper chassis, a proper hub and a proper bearing, and respectively combining the materials of the proper chassis, the proper hub and the proper bearing with the screened structural design scheme to obtain a lightweight scheme of a chassis hub bearing unit;
The light scheme evaluation module: the method is used for constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, screening out a qualified light-weight scheme, applying the qualified light-weight scheme to a vehicle after screening again, and evaluating vehicle performances of different light-weight schemes.
As a further scheme of the invention: the data analysis module comprises:
An operation data acquisition unit: the system comprises a control unit, a control unit and a control unit, wherein the control unit is used for detecting operation data of a chassis hub bearing unit when a heavy-duty commercial vehicle runs, including vibration data, aerodynamic data, temperature and pressure;
an operation data analysis unit: the system is used for analyzing the vibration data of the chassis hub bearing unit according to the operation data acquired by the operation data acquisition unit, analyzing whether the vehicle is in normal operation according to the vibration data, and confirming the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is in normal operation.
As a further scheme of the invention: the operation data analysis unit analyzes vibration data of the chassis hub bearing unit according to the operation data acquired by the operation data acquisition unit, analyzes whether the vehicle normally operates according to the vibration data, and confirms the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle normally operates, and comprises the following steps:
Vibration data of a chassis hub bearing unit in the operation data acquired by the operation data acquisition unit are acquired, and the vibration data are preprocessed, including noise removal, filtering and data correction;
drawing a vibration signal into a time domain graph, and representing a frequency domain signal obtained by Fourier transform of vibration data into a spectrogram;
acquiring historical vibration data of the chassis hub bearing unit when the chassis hub bearing unit operates normally and in fault, and acquiring a time domain graph and a spectrogram according to the historical vibration data;
Training a neural network model through a time domain graph and a spectrogram when the chassis hub bearing unit operates normally and in fault, and identifying the normal operation or the fault operation of the chassis hub bearing unit;
recognizing a time domain graph and a spectrogram of vibration data acquired by the operation data acquisition unit through the trained neural network model, and judging normal operation or fault operation of the chassis hub bearing unit;
And (3) screening aerodynamic data at corresponding moments in the operation data and temperature data and pressure data of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates, and obtaining temperature ranges and pressure ranges of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates.
As a further scheme of the invention: the aerodynamic analysis module adopts aerodynamic simulation software to analyze and screen different structural design schemes according to the operation data of the data analysis module, and comprises the following steps:
simulating the air flow of the vehicle with different structural designs at different test speeds through aerodynamic simulation software to obtain aerodynamic resistance values of chassis hub bearing units with different structural designs, and corresponding test wind speeds as ambient wind speeds;
According to aerodynamic data in the operation data of the data analysis module, constructing a deep learning model through aerodynamic resistance and ambient wind speed in the aerodynamic data, and identifying whether the chassis hub bearing unit operates normally or not;
And identifying aerodynamic resistance and environmental wind speed of the chassis hub bearing units with different structural designs through the constructed deep learning model, and screening out structural designs corresponding to the aerodynamic resistance and the environmental wind speed identified as normal operation.
As a further scheme of the invention: a lightweight solution evaluation module, comprising:
Light-weight scheme detection unit: constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, and screening the light weight scheme for one time according to the light weight chassis hub bearing unit detection model to screen out a qualified light weight scheme;
Light weight scheme evaluation unit: according to the qualified light weight scheme screened at one time, carrying out experimental detection on the light weight scheme, carrying out comprehensive evaluation on the light weight scheme according to detected data, and carrying out secondary screening on the light weight scheme according to the comprehensive evaluation value of the light weight scheme; and (3) applying the lightweight schemes according to the secondary screening to a vehicle for testing, and evaluating the vehicle performance of different lightweight schemes according to test results.
As a further scheme of the invention: according to aerodynamic data in the operation data of the data analysis module, a deep learning model is built through aerodynamic resistance and ambient wind speed in the aerodynamic data, and whether the chassis hub bearing unit operates normally is identified, and the method comprises the following steps:
When the chassis hub bearing unit screened by the operation data analysis unit operates normally, acquiring aerodynamic data at corresponding time in the operation data, wherein the method comprises the following steps: aerodynamic drag and ambient wind speed;
simulating aerodynamic resistance of the chassis hub bearing unit when the vehicle runs normally and wind resistance is abnormal through aerodynamic simulation software, and recording the ambient wind speed;
Aerodynamic data screened by the operation data analysis unit when the chassis hub bearing unit normally operates, aerodynamic resistance and environmental wind speed obtained through simulation of aerodynamic simulation software, a deep learning model is trained, and whether the chassis hub bearing unit normally operates is identified through the aerodynamic resistance and the environmental wind speed.
As a further scheme of the invention: the lightweight scheme detection unit constructs a lightweight chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, and comprises the following steps:
Establishing a fusion layer between a neural network model established by the data analysis module and trained through time domain graph and spectrogram identification and a deep learning model established by the aerodynamic analysis module and used for identifying whether the chassis hub bearing unit operates normally or not to connect the neural network model and the deep learning model, so as to obtain a lightweight chassis hub bearing unit detection model;
And the fusion layer inputs aerodynamic data at corresponding moments in operation data into a deep learning model for identifying whether the chassis hub bearing unit operates normally or not when the chassis hub bearing unit screened by the neural network model for training through time domain graph and spectrogram identification operates normally.
As a further scheme of the invention: carrying out primary screening on the lightweight scheme according to a lightweight chassis hub bearing unit detection model, screening out a qualified lightweight scheme, and comprising the following steps:
analyzing vibration data and pneumatic resistance of each light-weight scheme under different test wind speeds through finite element analysis software, taking the corresponding test wind speed as an environment wind speed, and carrying out data alignment;
And according to the vibration data, obtaining a corresponding time domain graph and a corresponding spectrogram, inputting the time domain graph and the spectrogram, and a corresponding aerodynamic resistance and an environment wind speed into a detection model of the hub bearing unit of the lightweight chassis for one-time screening, and screening out a qualified lightweight scheme.
As a further scheme of the invention: the lightweight scheme evaluation unit performs experimental detection on the lightweight scheme according to the qualified lightweight scheme screened out at one time, and performs comprehensive evaluation on the lightweight scheme according to detected data, and the lightweight scheme evaluation unit comprises the following steps:
establishing an equal proportion model aiming at a qualified lightweight scheme screened at one time, installing the equal proportion model into the same heavy-duty commercial vehicle, testing the equal proportion model of the qualified lightweight scheme on different roads, recording the operation data of the equal proportion model in real time,
Detecting whether the running data of the real-time recording equal-proportion model exceeds the data of the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is normally running, which are confirmed by the running data analysis unit;
if the light weight scheme exists, the corresponding light weight scheme is judged to be unqualified, otherwise, the light weight scheme is judged to be qualified;
Selecting one test point at intervals in the operation data of the real-time recording equal-proportion model of the light weight scheme which is judged to be qualified;
according to the operation data of the test points, comprehensively evaluating the lightweight scheme through the following formula:
Wherein E is a comprehensive evaluation value corresponding to a light weight scheme, P cmax is a pressure maximum value of a chassis of the heavy-duty commercial vehicle, P cmin is a pressure minimum value of the chassis of the heavy-duty commercial vehicle, P cha is a pressure detection value of the chassis of a test point of the heavy-duty commercial vehicle, P wmax is a pressure maximum value of a hub of the heavy-duty commercial vehicle, P wmin is a pressure minimum value of the hub of the heavy-duty commercial vehicle, P whe is a pressure detection value of the hub of the test point of the heavy-duty commercial vehicle, P bmax is a pressure maximum value of a bearing of the heavy-duty commercial vehicle, p bmin is the pressure minimum value of the heavy-duty commercial vehicle bearing, and P bea is the pressure detection value of the bearing of the heavy-duty commercial vehicle test point; t cmax is the maximum value of the temperature of the chassis of the heavy-duty commercial vehicle, T cmin is the minimum value of the temperature of the chassis of the heavy-duty commercial vehicle, T cha is the detection value of the temperature of the chassis of the test point of the heavy-duty commercial vehicle, T wmax is the maximum value of the temperature of the hub of the heavy-duty commercial vehicle, T wmin is the minimum value of the temperature of the hub of the heavy-duty commercial vehicle, T whe is the detection value of the temperature of the hub of the test point of the heavy-duty commercial vehicle, T bmax is the maximum value of the temperature of the bearing of the heavy-duty commercial vehicle, T bmin is the minimum value of the temperature of the bearing of the heavy-duty commercial vehicle, t bea is a temperature detection value of a bearing of a heavy-duty commercial vehicle test point; n is the number of selected test points, i epsilon (1, 2, …, n).
As a further scheme of the invention: the lightweight scheme evaluation unit is applied to a vehicle for testing according to the secondarily screened lightweight schemes, evaluates the vehicle performance of different lightweight schemes according to test results, and comprises the following steps:
The light weight scheme of the secondary screening is applied to a heavy-duty commercial vehicle to perform oil consumption test, and the total test time is equally divided into a plurality of test periods;
Vehicle performance, to which different lightweight schemes are applied, is evaluated according to the test results of each test period by the following formula:
Wherein C is a vehicle performance evaluation value, F is average oil consumption in a test period, F max is maximum oil consumption in the test period, F 0 is average oil consumption of a common heavy-duty commercial vehicle, m is total number of test periods, j epsilon (1, 2, …, m).
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, a light-weight scheme generating module evaluates the performance of materials through material simulation software according to the requirements of a heavy-duty commercial vehicle, materials of a proper chassis, a proper hub and a proper bearing are respectively screened, and the materials of the proper chassis, the proper hub and the proper bearing are respectively combined with the screened structural design scheme to obtain a light-weight scheme of a chassis hub bearing unit; the material simulation software can quickly obtain a large number of proper materials by evaluating the performance of the materials, and the large number of proper materials are combined with the screened qualified lightweight schemes in sequence, so that the material simulation software is favorable for quickly obtaining a large number of qualified lightweight schemes, and is convenient for later screening to obtain a better scheme.
According to the invention, accurate data and information can be provided through data analysis and aerodynamic analysis so as to guide the generation and screening of the lightweight scheme, the lightweight scheme of a plurality of components such as a chassis, a hub and a bearing is comprehensively considered, and finally, the vehicle performance of different lightweight schemes is evaluated and applied on the whole vehicle layer, so that the scheme is combined with the whole vehicle, and the comprehensive performance and efficiency of the whole vehicle are conveniently improved. Through rescreening and evaluation of the involutive lightweight scheme, the scheme can be continuously improved and optimized, and continuous performance improvement and cost saving are realized. Through applying to the vehicle after screening qualified lightweight scheme, avoid not passing the scheme of screening and be applied to the vehicle and carry out the experiment, experimental pressure and the danger that cause.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system framework of the present invention;
FIG. 2 is a schematic diagram of a data analysis module according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an embodiment of the present invention provides a chassis hub bearing unit lightweight system for a heavy-duty commercial vehicle, comprising:
And a data analysis module: the system is used for detecting the operation data of the chassis hub bearing unit when a heavy-duty commercial vehicle runs, analyzing the vibration data of the chassis hub bearing unit according to the operation data, and obtaining the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle runs normally;
the structural design module comprises: the method is used for designing the structure and parameters of the chassis hub bearing unit through a computer aided design and simulation technology to obtain a structural design scheme;
Aerodynamic analysis module: according to the operation data of the data analysis module, adopting aerodynamic simulation software to analyze and screen different structural design schemes;
The light scheme generation module is as follows: according to the requirements of a heavy-duty commercial vehicle, performing performance evaluation on materials through material simulation software, respectively screening materials of a proper chassis, a proper hub and a proper bearing, and respectively combining the materials of the proper chassis, the proper hub and the proper bearing with the screened structural design scheme to obtain a lightweight scheme of a chassis hub bearing unit;
The light scheme evaluation module: the method is used for constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, screening out a qualified light-weight scheme, applying the qualified light-weight scheme to a vehicle after screening again, and evaluating vehicle performances of different light-weight schemes.
Specifically, in this embodiment, according to the requirements of the heavy-duty commercial vehicle, the lightweight scheme generating module evaluates the performance of the materials through material simulation software, respectively screens the materials of the proper chassis, the proper hub and the proper bearing, and respectively combines the materials of the proper chassis, the proper hub and the proper bearing with the screened structural design scheme to obtain the lightweight scheme of the chassis hub bearing unit; the material simulation software can quickly obtain a large number of proper materials by evaluating the performance of the materials, and the large number of proper materials are combined with the screened qualified lightweight schemes in sequence, so that the material simulation software is favorable for quickly obtaining a large number of qualified lightweight schemes, and is convenient for later screening to obtain a better scheme.
And constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module by the light weight scheme evaluation module, screening out a qualified light weight scheme, and applying the qualified light weight scheme to a vehicle after screening again to evaluate the vehicle performance applying different light weight schemes. Accurate data and information can be provided through data analysis and aerodynamic analysis to guide the generation and screening of lightweight schemes, ensuring the feasibility and effectiveness of selected schemes. The modular design makes the evaluation process more efficient, and the module can generate and evaluate multiple light-weight schemes for different situations so as to meet the optimization requirements under different requirements.
Meanwhile, the lightweight schemes of the chassis, the hub, the bearing and other parts are comprehensively considered, and finally, the vehicle performance of different lightweight schemes is evaluated and applied on the whole vehicle layer, so that the scheme is combined with the whole vehicle, and the comprehensive performance and efficiency of the whole vehicle are conveniently improved. Through rescreening and evaluation of the involutive lightweight scheme, the scheme can be continuously improved and optimized, and continuous performance improvement and cost saving are realized. Through applying to the vehicle after screening qualified lightweight scheme, avoid not passing the scheme of screening and be applied to the vehicle and carry out the experiment, experimental pressure and the danger that cause.
In one embodiment of the present invention, the data analysis module includes:
An operation data acquisition unit: the system comprises a control unit, a control unit and a control unit, wherein the control unit is used for detecting operation data of a chassis hub bearing unit when a heavy-duty commercial vehicle runs, including vibration data, aerodynamic data, temperature and pressure;
an operation data analysis unit: the system is used for analyzing the vibration data of the chassis hub bearing unit according to the operation data acquired by the operation data acquisition unit, analyzing whether the vehicle is in normal operation according to the vibration data, and confirming the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is in normal operation.
In one embodiment of the present invention, the operation data analysis unit analyzes vibration data of the chassis hub bearing unit according to the operation data collected by the operation data collection unit, analyzes whether the vehicle is operating normally according to the vibration data, and confirms a temperature range and a pressure range of the chassis, the hub and the bearing when the vehicle is operating normally, including the following steps:
Vibration data of a chassis hub bearing unit in the operation data acquired by the operation data acquisition unit are acquired, and the vibration data are preprocessed, including noise removal, filtering and data correction;
Drawing a vibration signal into a time domain graph, and representing a frequency domain signal obtained by Fourier transform of vibration data into a spectrogram; the horizontal axis of the time domain graph represents time, and the vertical axis represents the amplitude of the vibration signal. By observing the time domain graph, the duration time, the amplitude change condition and the overall shape of the vibration signal can be determined; the spectrogram shows the energy distribution of the signal at different frequencies; typically the horizontal axis represents frequency and the vertical axis represents amplitude or power of the signal.
Acquiring historical vibration data of the chassis hub bearing unit when the chassis hub bearing unit operates normally and in fault, and acquiring a time domain graph and a spectrogram according to the historical vibration data;
Training a neural network model through a time domain graph and a spectrogram when the chassis hub bearing unit operates normally and in fault, and identifying the normal operation or the fault operation of the chassis hub bearing unit;
recognizing a time domain graph and a spectrogram of vibration data acquired by the operation data acquisition unit through the trained neural network model, and judging normal operation or fault operation of the chassis hub bearing unit;
And (3) screening aerodynamic data at corresponding moments in the operation data and temperature data and pressure data of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates, and obtaining temperature ranges and pressure ranges of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates.
Specifically, in this embodiment, the vibration signal is fourier transformed to obtain a spectrogram of the signal. In the spectrogram, different frequencies correspond to different vibration modes. For bearing failures, common failure frequencies are such as lane frequency, rolling element frequency, etc. For imbalance problems, the main motor frequency and its harmonic frequencies typically occur. Whereas for bearing loosening problems, irregular high frequency components often occur. The neural network model is trained to perform spectrum analysis, so that the fault frequency can be rapidly positioned.
The inference of the likely fault type can also be aided by observing time-domain waveform characteristics of the vibration signal, such as amplitude, waveform shape, and the like. For example, bearing damage is often manifested as high amplitude impact signals; imbalance then appears as a periodic vibration signal; the loosening of the bearing may then manifest itself as a high frequency vibration signal. The training neural network model can be used for carrying out time domain analysis so as to quickly identify and position vibration signals and be helpful for quickly identifying faults.
In one embodiment of the present invention, the aerodynamic analysis module uses aerodynamic simulation software to analyze and screen different structural designs according to the operation data of the data analysis module, and includes the following steps:
simulating the air flow of the vehicle with different structural designs at different test speeds through aerodynamic simulation software to obtain aerodynamic resistance values of chassis hub bearing units with different structural designs, and corresponding test wind speeds as ambient wind speeds;
According to aerodynamic data in the operation data of the data analysis module, constructing a deep learning model through aerodynamic resistance and ambient wind speed in the aerodynamic data, and identifying whether the chassis hub bearing unit operates normally or not;
And identifying aerodynamic resistance and environmental wind speed of the chassis hub bearing units with different structural designs through the constructed deep learning model, and screening out structural designs corresponding to the aerodynamic resistance and the environmental wind speed identified as normal operation.
In one embodiment of the present invention, a lightweight scenario evaluation module comprises:
Light-weight scheme detection unit: constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, and screening the light weight scheme for one time according to the light weight chassis hub bearing unit detection model to screen out a qualified light weight scheme;
Light weight scheme evaluation unit: according to the qualified light weight scheme screened at one time, carrying out experimental detection on the light weight scheme, carrying out comprehensive evaluation on the light weight scheme according to detected data, and carrying out secondary screening on the light weight scheme according to the comprehensive evaluation value of the light weight scheme; and (3) applying the lightweight schemes according to the secondary screening to a vehicle for testing, and evaluating the vehicle performance of different lightweight schemes according to test results.
In one embodiment of the present invention, according to aerodynamic data in operation data of the data analysis module, a deep learning model is constructed by aerodynamic resistance in the aerodynamic data and an ambient wind speed, and whether the chassis hub bearing unit operates normally is identified, including the steps of:
When the chassis hub bearing unit screened by the operation data analysis unit operates normally, acquiring aerodynamic data at corresponding time in the operation data, wherein the method comprises the following steps: aerodynamic drag and ambient wind speed;
simulating aerodynamic resistance of the chassis hub bearing unit when the vehicle runs normally and wind resistance is abnormal through aerodynamic simulation software, and recording the ambient wind speed;
Aerodynamic data screened by the operation data analysis unit when the chassis hub bearing unit normally operates, aerodynamic resistance and environmental wind speed obtained through simulation of aerodynamic simulation software, a deep learning model is trained, and whether the chassis hub bearing unit normally operates is identified through the aerodynamic resistance and the environmental wind speed.
In one embodiment of the present invention, the lightweight scheme detection unit constructs a lightweight chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, and includes the following steps:
Establishing a fusion layer between a neural network model established by the data analysis module and trained through time domain graph and spectrogram identification and a deep learning model established by the aerodynamic analysis module and used for identifying whether the chassis hub bearing unit operates normally or not to connect the neural network model and the deep learning model, so as to obtain a lightweight chassis hub bearing unit detection model;
And the fusion layer inputs aerodynamic data at corresponding moments in operation data into a deep learning model for identifying whether the chassis hub bearing unit operates normally or not when the chassis hub bearing unit screened by the neural network model for training through time domain graph and spectrogram identification operates normally.
In one embodiment of the invention, the lightweight scheme is screened for one time according to a lightweight chassis hub bearing unit detection model, and qualified lightweight scheme is screened out, and the method comprises the following steps:
analyzing vibration data and pneumatic resistance of each light-weight scheme under different test wind speeds through finite element analysis software, taking the corresponding test wind speed as an environment wind speed, and carrying out data alignment;
And according to the vibration data, obtaining a corresponding time domain graph and a corresponding spectrogram, inputting the time domain graph and the spectrogram, and a corresponding aerodynamic resistance and an environment wind speed into a detection model of the hub bearing unit of the lightweight chassis for one-time screening, and screening out a qualified lightweight scheme.
In one embodiment of the present invention, the lightweight scheme evaluation unit performs experimental detection on the lightweight scheme according to the qualified lightweight scheme selected at a time, and performs comprehensive evaluation on the lightweight scheme according to the detected data, and the method includes the following steps:
establishing an equal proportion model aiming at a qualified lightweight scheme screened at one time, installing the equal proportion model into the same heavy-duty commercial vehicle, testing the equal proportion model of the qualified lightweight scheme on different roads, recording the operation data of the equal proportion model in real time,
Detecting whether the running data of the real-time recording equal-proportion model exceeds the data of the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is normally running, which are confirmed by the running data analysis unit;
if the light weight scheme exists, the corresponding light weight scheme is judged to be unqualified, otherwise, the light weight scheme is judged to be qualified;
Selecting one test point at intervals in the operation data of the real-time recording equal-proportion model of the light weight scheme which is judged to be qualified;
according to the operation data of the test points, comprehensively evaluating the lightweight scheme through the following formula:
Wherein E is a comprehensive evaluation value corresponding to a light weight scheme, P cmax is a pressure maximum value of a chassis of the heavy-duty commercial vehicle, P cmin is a pressure minimum value of the chassis of the heavy-duty commercial vehicle, P cha is a pressure detection value of the chassis of a test point of the heavy-duty commercial vehicle, P wmax is a pressure maximum value of a hub of the heavy-duty commercial vehicle, P wmin is a pressure minimum value of the hub of the heavy-duty commercial vehicle, P whe is a pressure detection value of the hub of the test point of the heavy-duty commercial vehicle, P bmax is a pressure maximum value of a bearing of the heavy-duty commercial vehicle, p bmin is the minimum pressure value of the heavy-duty commercial vehicle bearing, P bea is the pressure detection value of the bearing of the heavy-duty commercial vehicle test point, T cmax is the maximum temperature value of the heavy-duty commercial vehicle chassis, T cmin is the minimum temperature value of the heavy-duty commercial vehicle chassis, T cha is the temperature detection value of the heavy-duty commercial vehicle test point chassis, T wmax is the maximum temperature value of the heavy-duty commercial vehicle hub, T wmin is the minimum temperature value of the heavy-duty commercial vehicle hub, T whe is the temperature detection value of the heavy-duty commercial vehicle test point hub, t bmax is the maximum value of the temperature of the heavy-duty commercial vehicle bearing, T bmin is the minimum value of the temperature of the heavy-duty commercial vehicle bearing, and T bea is the temperature detection value of the bearing of the heavy-duty commercial vehicle test point; n is the number of selected test points, i epsilon (1, 2, …, n).
Specifically, in this embodiment, the number n of test points is selected to be 5, and the lightweight scheme is comprehensively evaluated by the following formula:
and selecting a light weight scheme with the comprehensive evaluation value E larger than 0.6 corresponding to the light weight scheme, and realizing secondary screening of the light weight scheme. The lightweight scheme of the chassis, the hub, the bearing and other parts is comprehensively considered, so that the optimization is performed on the whole vehicle level, and the comprehensive performance and efficiency of the whole vehicle are improved.
In one embodiment of the present invention, the lightweight scheme evaluation unit applies the lightweight scheme of the secondary screening to the vehicle to perform a test, and evaluates the vehicle performance of the different lightweight schemes according to the test result, including the following steps:
The light weight scheme of the secondary screening is applied to a heavy-duty commercial vehicle to perform oil consumption test, and the total test time is equally divided into a plurality of test periods;
Vehicle performance, to which different lightweight schemes are applied, is evaluated according to the test results of each test period by the following formula:
Wherein C is a vehicle performance evaluation value, F is average oil consumption in a test period, F max is maximum oil consumption in the test period, F 0 is average oil consumption of a common heavy-duty commercial vehicle, m is total number of test periods, j epsilon (1, 2, …, m).
Specifically, the greater the vehicle performance evaluation value, the better the improvement of the vehicle fuel consumption by the light-weight scheme is explained, and the user can select the light-weight scheme with the relatively larger vehicle performance evaluation value according to the actual situation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (10)
1. A chassis hub bearing unit lightweight system for a heavy duty commercial vehicle, comprising:
And a data analysis module: the system is used for detecting the operation data of the chassis hub bearing unit when a heavy-duty commercial vehicle runs, analyzing the vibration data of the chassis hub bearing unit according to the operation data, and obtaining the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle runs normally;
the structural design module comprises: the method is used for designing the structure and parameters of the chassis hub bearing unit through a computer aided design and simulation technology to obtain a structural design scheme;
Aerodynamic analysis module: according to the operation data of the data analysis module, adopting aerodynamic simulation software to analyze and screen different structural design schemes;
The light scheme generation module is as follows: according to the requirements of a heavy-duty commercial vehicle, performing performance evaluation on materials through material simulation software, respectively screening materials of a proper chassis, a proper hub and a proper bearing, and respectively combining the materials of the proper chassis, the proper hub and the proper bearing with the screened structural design scheme to obtain a lightweight scheme of a chassis hub bearing unit;
The light scheme evaluation module: the method is used for constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, screening out a qualified light-weight scheme, applying the qualified light-weight scheme to a vehicle after screening again, and evaluating vehicle performances of different light-weight schemes.
2. The chassis hub bearing unit weight reduction system of a heavy duty commercial vehicle of claim 1, wherein said data analysis module comprises:
An operation data acquisition unit: the system comprises a control unit, a control unit and a control unit, wherein the control unit is used for detecting operation data of a chassis hub bearing unit when a heavy-duty commercial vehicle runs, including vibration data, aerodynamic data, temperature and pressure;
an operation data analysis unit: the system is used for analyzing the vibration data of the chassis hub bearing unit according to the operation data acquired by the operation data acquisition unit, analyzing whether the vehicle is in normal operation according to the vibration data, and confirming the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is in normal operation.
3. The system according to claim 2, wherein the operation data analysis unit analyzes vibration data of the chassis hub bearing unit according to the operation data collected by the operation data collection unit, analyzes whether the vehicle is operating normally according to the vibration data, and confirms a temperature range and a pressure range of the chassis, the hub and the bearing when the vehicle is operating normally, comprising the steps of:
Vibration data of a chassis hub bearing unit in the operation data acquired by the operation data acquisition unit are acquired, and the vibration data are preprocessed, including noise removal, filtering and data correction;
drawing a vibration signal into a time domain graph, and representing a frequency domain signal obtained by Fourier transform of vibration data into a spectrogram;
acquiring historical vibration data of the chassis hub bearing unit when the chassis hub bearing unit operates normally and in fault, and acquiring a time domain graph and a spectrogram according to the historical vibration data;
Training a neural network model through a time domain graph and a spectrogram when the chassis hub bearing unit operates normally and in fault, and identifying the normal operation or the fault operation of the chassis hub bearing unit;
recognizing a time domain graph and a spectrogram of vibration data acquired by the operation data acquisition unit through the trained neural network model, and judging normal operation or fault operation of the chassis hub bearing unit;
And (3) screening aerodynamic data at corresponding moments in the operation data and temperature data and pressure data of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates, and obtaining temperature ranges and pressure ranges of the chassis, the hub and the bearing when the chassis hub bearing unit normally operates.
4. The system of claim 3, wherein the aerodynamic analysis module is configured to analyze and screen different structural designs by using aerodynamic simulation software according to operation data of the data analysis module, and the system comprises the following steps:
simulating the air flow of the vehicle with different structural designs at different test speeds through aerodynamic simulation software to obtain aerodynamic resistance values of chassis hub bearing units with different structural designs, and corresponding test wind speeds as ambient wind speeds;
According to aerodynamic data in the operation data of the data analysis module, constructing a deep learning model through aerodynamic resistance and ambient wind speed in the aerodynamic data, and identifying whether the chassis hub bearing unit operates normally or not;
And identifying aerodynamic resistance and environmental wind speed of the chassis hub bearing units with different structural designs through the constructed deep learning model, and screening out structural designs corresponding to the aerodynamic resistance and the environmental wind speed identified as normal operation.
5. The chassis hub bearing unit weight system of a heavy duty commercial vehicle of claim 4, wherein the weight scheme assessment module comprises:
Light-weight scheme detection unit: constructing a light chassis hub bearing unit detection model according to analysis results of the data analysis module and the aerodynamic analysis module, and screening the light weight scheme for one time according to the light weight chassis hub bearing unit detection model to screen out a qualified light weight scheme;
Light weight scheme evaluation unit: according to the qualified light weight scheme screened at one time, carrying out experimental detection on the light weight scheme, carrying out comprehensive evaluation on the light weight scheme according to detected data, and carrying out secondary screening on the light weight scheme according to the comprehensive evaluation value of the light weight scheme; and (3) applying the lightweight schemes according to the secondary screening to a vehicle for testing, and evaluating the vehicle performance of different lightweight schemes according to test results.
6. The system of claim 5, wherein the method comprises the steps of constructing a deep learning model based on aerodynamic data in the operational data of the data analysis module, aerodynamic resistance in the aerodynamic data, and ambient wind speed, and identifying whether the chassis hub bearing unit is operating properly, comprising the steps of:
When the chassis hub bearing unit screened by the operation data analysis unit operates normally, acquiring aerodynamic data at corresponding time in the operation data, wherein the method comprises the following steps: aerodynamic drag and ambient wind speed;
simulating aerodynamic resistance of the chassis hub bearing unit when the vehicle runs normally and wind resistance is abnormal through aerodynamic simulation software, and recording the ambient wind speed;
Aerodynamic data screened by the operation data analysis unit when the chassis hub bearing unit normally operates, aerodynamic resistance and environmental wind speed obtained through simulation of aerodynamic simulation software, a deep learning model is trained, and whether the chassis hub bearing unit normally operates is identified through the aerodynamic resistance and the environmental wind speed.
7. The chassis hub bearing unit light-weight system of a heavy-duty commercial vehicle of claim 6, wherein said light-weight solution detection unit constructs a light-weight chassis hub bearing unit detection model according to the analysis results of the data analysis module and the aerodynamic analysis module, comprising the steps of:
Establishing a fusion layer between a neural network model established by the data analysis module and trained through time domain graph and spectrogram identification and a deep learning model established by the aerodynamic analysis module and used for identifying whether the chassis hub bearing unit operates normally or not to connect the neural network model and the deep learning model, so as to obtain a lightweight chassis hub bearing unit detection model;
And the fusion layer inputs aerodynamic data at corresponding moments in operation data into a deep learning model for identifying whether the chassis hub bearing unit operates normally or not when the chassis hub bearing unit screened by the neural network model for training through time domain graph and spectrogram identification operates normally.
8. The chassis hub bearing unit weight reduction system of a heavy-duty commercial vehicle of claim 7, wherein the weight reduction scheme is screened once according to a weight reduction chassis hub bearing unit detection model, and qualified weight reduction schemes are screened out, comprising the steps of:
analyzing vibration data and pneumatic resistance of each light-weight scheme under different test wind speeds through finite element analysis software, taking the corresponding test wind speed as an environment wind speed, and carrying out data alignment;
And according to the vibration data, obtaining a corresponding time domain graph and a corresponding spectrogram, inputting the time domain graph and the spectrogram, and a corresponding aerodynamic resistance and an environment wind speed into a detection model of the hub bearing unit of the lightweight chassis for one-time screening, and screening out a qualified lightweight scheme.
9. The chassis hub bearing unit weight reduction system of a heavy-duty commercial vehicle according to claim 8, wherein the weight reduction scheme evaluation unit performs experimental detection on the weight reduction scheme according to a qualified weight reduction scheme selected at a time, performs comprehensive evaluation on the weight reduction scheme according to detected data, and comprises the following steps:
establishing an equal proportion model aiming at a qualified lightweight scheme screened at one time, installing the equal proportion model into the same heavy-duty commercial vehicle, testing the equal proportion model of the qualified lightweight scheme on different roads, recording the operation data of the equal proportion model in real time,
Detecting whether the running data of the real-time recording equal-proportion model exceeds the data of the temperature range and the pressure range of the chassis, the hub and the bearing when the vehicle is normally running, which are confirmed by the running data analysis unit;
if the light weight scheme exists, the corresponding light weight scheme is judged to be unqualified, otherwise, the light weight scheme is judged to be qualified;
Selecting one test point at intervals in the operation data of the real-time recording equal-proportion model of the light weight scheme which is judged to be qualified;
according to the operation data of the test points, comprehensively evaluating the lightweight scheme through the following formula:
Wherein E is a comprehensive evaluation value corresponding to a light weight scheme, P cmax is a pressure maximum value of a chassis of the heavy-duty commercial vehicle, P cmin is a pressure minimum value of the chassis of the heavy-duty commercial vehicle, P cha is a pressure detection value of the chassis of a test point of the heavy-duty commercial vehicle, P wmax is a pressure maximum value of a hub of the heavy-duty commercial vehicle, P wmin is a pressure minimum value of the hub of the heavy-duty commercial vehicle, P whe is a pressure detection value of the hub of the test point of the heavy-duty commercial vehicle, P bmax is a pressure maximum value of a bearing of the heavy-duty commercial vehicle, p bmin is the pressure minimum value of the heavy-duty commercial vehicle bearing, and P bea is the pressure detection value of the bearing of the heavy-duty commercial vehicle test point; t cmax is the maximum value of the temperature of the chassis of the heavy-duty commercial vehicle, T cmin is the minimum value of the temperature of the chassis of the heavy-duty commercial vehicle, T cha is the detection value of the temperature of the chassis of the test point of the heavy-duty commercial vehicle, T wmax is the maximum value of the temperature of the hub of the heavy-duty commercial vehicle, T wmin is the minimum value of the temperature of the hub of the heavy-duty commercial vehicle, T whe is the detection value of the temperature of the hub of the test point of the heavy-duty commercial vehicle, T bmax is the maximum value of the temperature of the bearing of the heavy-duty commercial vehicle, T bmin is the minimum value of the temperature of the bearing of the heavy-duty commercial vehicle, t bea is a temperature detection value of a bearing of a heavy-duty commercial vehicle test point; n is the number of selected test points, i epsilon (1, 2, …, n).
10. The chassis hub bearing unit weight reduction system of a heavy-duty commercial vehicle according to claim 1, wherein the weight reduction scheme evaluation unit applies weight reduction schemes of secondary screening to a vehicle for testing, evaluates vehicle performance of different weight reduction schemes according to test results, and comprises the following steps:
The light weight scheme of the secondary screening is applied to a heavy-duty commercial vehicle to perform oil consumption test, and the total test time is equally divided into a plurality of test periods;
Vehicle performance, to which different lightweight schemes are applied, is evaluated according to the test results of each test period by the following formula:
Wherein C is a vehicle performance evaluation value, F is average oil consumption in a test period, F max is maximum oil consumption in the test period, F 0 is average oil consumption of a common heavy-duty commercial vehicle, m is total number of test periods, j epsilon (1, 2, …, m).
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