CN112721562B - Intelligent management system for air suspension air bag of passenger car - Google Patents
Intelligent management system for air suspension air bag of passenger car Download PDFInfo
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- B60—VEHICLES IN GENERAL
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- B60G17/00—Resilient suspensions having means for adjusting the spring or vibration-damper characteristics, for regulating the distance between a supporting surface and a sprung part of vehicle or for locking suspension during use to meet varying vehicular or surface conditions, e.g. due to speed or load
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Abstract
The invention discloses an intelligent management system for an air suspension airbag of a passenger car, which is characterized in that a vehicle acquisition unit in a data acquisition module is used for acquiring vehicle information, and an environment acquisition unit is used for acquiring road state information; receiving and processing the vehicle information and the road state information by using a data processing module to obtain data processing information; receiving and analyzing the data processing information by using a data analysis module to obtain vehicle analysis data and road analysis data; generating different early warning signals according to the vehicle analysis data and the road analysis data by using an early warning module, and combining the different early warning signals to obtain an early warning signal set; adjusting the state of the air bag and adjusting and controlling the operation of the vehicle by using an adjusting and controlling module according to the early warning signal set; the invention is used for solving the problems that the pressure and the temperature of the air bag are not monitored and the state of the air bag is not adjusted in time in the existing scheme, so that the using effect of the air bag is poor, and the state of the air bag cannot be changed to pass through different height-limiting obstacles and potholes on a road.
Description
Technical Field
The invention relates to the technical field of passenger car air suspension airbags, in particular to an intelligent management system for a passenger car air suspension airbag.
Background
The automobile air suspension is one of automobile suspensions, the effects of changing the damping state and stabilizing the horizontal state of an automobile body are achieved by adjusting gas in a damping air bag or an air chamber, two common air suspensions are adopted according to the position of the air bag, and one air suspension is that the air bag is independently arranged outside and exists independently; the principle of the shock absorber is that a sensor transmits collected signals to a control unit, and the control unit sends out an instruction after calculation to adjust the hardness of an air spring and the damping of the shock absorber, so that the highest elastic state is realized, the whole reflecting time process is only dozens of microseconds, and the air suspension system can timely and appropriately react to each tiny action of a wheel.
The air suspension has the advantages that the air suspension is different from a common suspension which only consists of a spring and a shock absorber in the traditional sense, the height of a vehicle body, the hardness of the shock absorber and the reaction speed value of the shock absorber to the longitudinal impact force are all fixed, and the air suspension can not be adjusted according to the road conditions under different road conditions; the air suspension can be autonomously adjusted according to the conditions, and corresponding changes can be made.
The existing passenger car air suspension air bag management system has the following defects: the problems that the using effect of the air bag is poor due to the fact that the pressure and the temperature of the air bag are not monitored and the state of the air bag is adjusted in time and the problem that the state of the air bag cannot be changed to pass through different height limiting barriers and potholes on a road are solved.
Disclosure of Invention
The invention aims to provide an intelligent management system for an air suspension airbag of a passenger car, and the invention aims to solve the technical problems that:
how to solve and not having in the current scheme to monitor the pressure and the temperature of gasbag and in time adjust the state of gasbag and lead to the not good problem of result of use of gasbag to and can not change the state of gasbag and come through the problem of different limit for height obstacles and pothole on the road.
The purpose of the invention can be realized by the following technical scheme: the intelligent management system for the air suspension air bag of the passenger car comprises a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and a regulation and control module;
the data acquisition module comprises a vehicle acquisition unit and an environment acquisition unit, the vehicle acquisition unit is used for acquiring vehicle information, the vehicle information comprises air bag pressure data, air bag temperature data and model data, the environment acquisition unit is used for acquiring road state information, the road state information comprises road depression data, ground temperature data and height-limiting obstacle data, and the vehicle information and the road state information are sent to the data processing module through the data transmission module;
the data processing module is used for receiving and processing the vehicle information and the road state information, calculating the vehicle information and the road state information to obtain a bearing value of a vehicle and an adaptation value of a road, combining the bearing value with data in the vehicle information to obtain vehicle processing information, combining the adaptation value with the data in the road state information to obtain road processing information, classifying and combining the vehicle processing information and the road processing information to obtain data processing information, and sending the data processing information to the data analysis module through the data transmission module;
the data analysis module is used for receiving the data processing information, analyzing the bearing value of the vehicle and the adaptation value of the road in the data processing information to obtain vehicle analysis data and road analysis data, and sending the vehicle analysis data and the road analysis data to the early warning module;
the early warning module is used for generating different early warning signals according to the vehicle analysis data and the road analysis data, obtaining an early warning signal set by using different early warning signal combinations, and sending the early warning signal set to the regulation and control module;
the regulation and control module is used for regulating the state of the air bag and regulating and controlling the operation of the vehicle according to the early warning signal set;
the data transmission module is used for transmitting data among the modules.
Preferably, the data processing module is configured to receive and process vehicle information and road state information to obtain vehicle processing information and road processing information, and the specific steps include:
s21: acquiring airbag pressure data, airbag temperature data and model data in vehicle information, marking an airbag pressure value in the airbag pressure data as K1, and marking an airbag temperature value in the airbag temperature data as K2;
s22: obtaining tire models, tire radii and carriage heights in the model data, setting different tire models to correspond to different tire preset values, matching the tire models with all the tire models to obtain corresponding tire preset values and marking the tire preset values as K3, marking the tire radii as K4 and marking the carriage heights as K5;
s23: acquiring a load bearing value of the vehicle by using a formula;
s24: combining the bearing value with the marked air bag pressure value, air bag temperature value, tire preset value, tire radius and carriage height to obtain vehicle processing information;
s25: acquiring road depression data, ground temperature data and height-limiting obstacle data in the road state information, marking the ground temperature value in the ground temperature data as W1, calculating the difference value between the height-limiting obstacle value and the height of the carriage in the height-limiting obstacle data, and setting the difference value as a first difference value W2;
s26: acquiring the hole depth in the road hole data, marking the hole depth as W3, setting the distance between the chassis and the road ground as a standard distance, calculating the difference value between the hole depth and the standard distance, and setting the difference value as a second difference value W4;
s27: obtaining the adaptation value of the road by using a formula;
s28: and combining the adaptation value with the marked ground temperature value, the hollow depth, the first difference value and the second difference value to obtain road processing information.
Preferably, the load value of the vehicle is obtained by using a formula, wherein the formula is as follows:
wherein m1, m2, m3 and m4 are all expressed as preset different proportionality coefficients, m1> m2> m3> m4, and mu is expressed as a preset vehicle correction factor.
Preferably, the adaptive value of the road is obtained by using a formula, wherein the formula is as follows:
wherein a1 and a2 are both expressed as different proportionality coefficients, and a1> a2, and alpha is expressed as a preset road correction factor.
Preferably, the load-bearing value of the vehicle and the adaptation value of the road in the data processing information are analyzed to obtain vehicle analysis data and road analysis data, and the specific analysis step includes:
s51: comparing the bearing value with a preset standard bearing range, and if the bearing value is smaller than the minimum value of the standard bearing range, generating a first bearing signal, wherein the first bearing signal represents that the pressure of the air bag is in an abnormal state;
s52: if the bearing value belongs to the standard bearing range, generating a second bearing signal, wherein the second bearing signal represents that the air bag pressure and the air bag temperature both belong to normal states;
s53: if the bearing value is larger than the maximum value of the standard bearing range, generating a third bearing signal, wherein the third bearing signal represents that the air bag pressure and the air bag temperature are in abnormal states; the first load bearing signal, the second load bearing signal and the third load bearing signal form vehicle analysis data;
s54: comparing the adaptation value with a preset standard adaptation range, and if the adaptation value is not smaller than the maximum value of the standard adaptation range, generating a first adaptation signal, wherein the first adaptation signal indicates that height-limiting obstacles and potholes on a road are in the normal driving range of the vehicle;
s55: if the adaptation value belongs to the standard adaptation range, generating a second adaptation signal, wherein the second adaptation signal indicates that at least one of height-limited obstacles and potholes on the road is not in the normal driving range of the vehicle;
s56: if the adaptation value is not larger than the standard adaptation range, generating a third adaptation signal, wherein the third adaptation signal indicates that neither height-limited obstacle nor pothole on the road is in the normal driving range of the vehicle; the first adaptation signal, the second adaptation signal and the third adaptation signal form road analysis data.
Preferably, the early warning module is used for generating different early warning signals according to the vehicle analysis data and the road analysis data, and obtaining an early warning signal set by using different early warning signal combinations, and the specific steps include:
s61: acquiring vehicle analysis data, and if the vehicle analysis data contains a first bearing signal, generating a first air bag early warning signal, wherein the first vehicle early warning signal indicates that the pressure of an air bag is smaller than a standard air pressure range; if the vehicle analysis data contains a third bearing signal, generating a second vehicle early warning signal, wherein the second vehicle early warning signal indicates that the pressure of the air bag is greater than the standard air pressure range and the temperature of the air bag exceeds the standard temperature range;
s62: acquiring road analysis data, if the road analysis data contains a second adaptive signal, acquiring height-limited obstacle height and hollow depth of a road when the second adaptive signal is acquired, judging that the height-limited obstacle height is lower than the height of a carriage or the hollow depth exceeds the distance between a chassis and the ground, and generating a first road early warning signal; if the road analysis data contains the third adaptive signal, generating a second road early warning signal;
s63: the first vehicle early warning signal, the second vehicle early warning signal, the first road early warning signal and the second road early warning signal form an early warning signal set.
Preferably, the regulation and control module is used for regulating the state of the airbag and regulating and controlling the operation of the vehicle according to the early warning signal set, and the specific steps include:
s71: acquiring an early warning signal set, and inflating an air bag according to a first vehicle early warning signal to improve the pressure of the air bag if the early warning signal set comprises the first vehicle early warning signal; if the early warning signals contain a second vehicle early warning signal in a centralized manner, exhausting the air bag according to the second vehicle early warning signal to reduce the pressure of the air bag and cooling the air bag;
s72: if the early warning signals collectively comprise first road early warning signals, inflating the air bags according to the first road early warning signals to lift the air bags to enable the vehicle chassis to rise through the potholes, or deflating the air bags to reduce the height of the carriage to enable the carriage to reduce and pass through the height-limiting obstacle; and if the early warning signal set comprises a second road early warning signal, enabling the vehicle to stop running according to the second road early warning signal.
The invention has the beneficial effects that:
in the aspects disclosed by the invention, through the cooperation of the data acquisition module, the data transmission module, the data processing module, the data analysis module, the early warning module and the regulation and control module, the vehicle acquisition unit in the data acquisition module is used for acquiring vehicle information, the vehicle information comprises air bag pressure data, air bag temperature data and model data, the environment acquisition unit is used for acquiring road state information, the road state information comprises road pothole data, ground temperature data and height-limiting obstacle data, and the data transmission module is used for transmitting the vehicle information and the road state information to the data processing module; the state of the air bag can be monitored and adjusted in time by comprehensively analyzing air bag pressure data, air bag temperature data and model data, road depression data, ground temperature data and height-limiting obstacle data;
the method comprises the steps that a data processing module is used for receiving and processing vehicle information and road state information, calculating the vehicle information and the road state information to obtain a bearing value of a vehicle and an adaptation value of a road, combining the bearing value with data in the vehicle information to obtain vehicle processing information, combining the adaptation value with the data in the road state information to obtain road processing information, classifying and combining the vehicle processing information and the road processing information to obtain data processing information, and sending the data processing information to a data analysis module through a data transmission module; the bearing value of the vehicle and the adaptation value of the road are obtained through calculation, and the bearing value and the adaptation value are analyzed, so that data support can be provided for early warning and regulation of the air bag;
the data analysis module is used for receiving the data processing information, analyzing the bearing value of the vehicle and the adaptation value of the road in the data processing information to obtain vehicle analysis data and road analysis data, and sending the vehicle analysis data and the road analysis data to the early warning module; different states of the air bag can be obtained by analyzing the bearing value and the adaptive value so as to be adjusted in time;
generating different early warning signals according to the vehicle analysis data and the road analysis data by using an early warning module, combining the different early warning signals to obtain an early warning signal set, and sending the early warning signal set to a regulation and control module;
utilize the regulation and control module to adjust the state of gasbag and regulate and control the operation of vehicle according to the early warning signal set, can reach the purpose that improves the result of use of gasbag to monitoring the pressure and the temperature of gasbag and in time adjusting the state of gasbag to and come through the purpose of different limit for height obstacles and potholes on the road through the state that changes the gasbag.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of an intelligent management system for air suspension airbags of a passenger car.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an intelligent management system for an air suspension airbag of a passenger car, which comprises a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and a regulation and control module;
the data acquisition module comprises a vehicle acquisition unit and an environment acquisition unit, the vehicle acquisition unit is used for acquiring vehicle information, the vehicle information comprises air bag pressure data, air bag temperature data and model data, the environment acquisition unit is used for acquiring road state information, the road state information comprises road depression data, ground temperature data and height-limiting obstacle data, and the vehicle information and the road state information are sent to the data processing module through the data transmission module;
the data processing module is used for receiving and processing the vehicle information and the road state information, calculating the vehicle information and the road state information to obtain a bearing value of a vehicle and an adaptation value of a road, combining the bearing value with data in the vehicle information to obtain vehicle processing information, combining the adaptation value with the data in the road state information to obtain road processing information, classifying and combining the vehicle processing information and the road processing information to obtain data processing information, and sending the data processing information to the data analysis module through the data transmission module; the method comprises the following specific steps:
acquiring airbag pressure data, airbag temperature data and model data in vehicle information, marking an airbag pressure value in the airbag pressure data as K1, and marking an airbag temperature value in the airbag temperature data as K2;
obtaining tire models, tire radii and carriage heights in the model data, setting different tire models to correspond to different tire preset values, matching the tire models with all the tire models to obtain corresponding tire preset values and marking the tire preset values as K3, marking the tire radii as K4 and marking the carriage heights as K5;
acquiring a load bearing value of the vehicle by using a formula; the formula is:
wherein m1, m2, m3 and m4 are all expressed as preset different proportionality coefficients, m1> m2> m3> m4, and mu is expressed as a preset vehicle correction factor;
combining the bearing value with the marked air bag pressure value, air bag temperature value, tire preset value, tire radius and carriage height to obtain vehicle processing information;
acquiring road depression data, ground temperature data and height-limiting obstacle data in the road state information, marking the ground temperature value in the ground temperature data as W1, calculating the difference value between the height-limiting obstacle value and the height of the carriage in the height-limiting obstacle data, and setting the difference value as a first difference value W2;
acquiring the hole depth in the road hole data, marking the hole depth as W3, setting the distance between the chassis and the road ground as a standard distance, calculating the difference value between the hole depth and the standard distance, and setting the difference value as a second difference value W4;
obtaining the adaptation value of the road by using a formula; the formula is:
wherein a1 and a2 are both expressed as different proportionality coefficients, a1> a2, and alpha is expressed as a preset road correction factor;
combining the adaptation value with the marked ground temperature value, the hollow depth, the first difference value and the second difference value to obtain road processing information;
the data analysis module is used for receiving the data processing information, analyzing the bearing value of the vehicle and the adaptation value of the road in the data processing information to obtain vehicle analysis data and road analysis data, and sending the vehicle analysis data and the road analysis data to the early warning module; the specific analysis steps include:
comparing the bearing value with a preset standard bearing range, and if the bearing value is smaller than the minimum value of the standard bearing range, generating a first bearing signal, wherein the first bearing signal represents that the pressure of the air bag is in an abnormal state;
if the bearing value belongs to the standard bearing range, generating a second bearing signal, wherein the second bearing signal represents that the air bag pressure and the air bag temperature both belong to normal states;
if the bearing value is larger than the maximum value of the standard bearing range, generating a third bearing signal, wherein the third bearing signal represents that the air bag pressure and the air bag temperature are in abnormal states; the first load bearing signal, the second load bearing signal and the third load bearing signal form vehicle analysis data;
comparing the adaptation value with a preset standard adaptation range, and if the adaptation value is not smaller than the maximum value of the standard adaptation range, generating a first adaptation signal, wherein the first adaptation signal indicates that height-limiting obstacles and potholes on a road are in the normal driving range of the vehicle;
if the adaptation value belongs to the standard adaptation range, generating a second adaptation signal, wherein the second adaptation signal indicates that at least one of height-limited obstacles and potholes on the road is not in the normal driving range of the vehicle;
if the adaptation value is not larger than the standard adaptation range, generating a third adaptation signal, wherein the third adaptation signal indicates that neither height-limited obstacle nor pothole on the road is in the normal driving range of the vehicle; the first adaptive signal, the second adaptive signal and the third adaptive signal form road analysis data;
the early warning module is used for generating different early warning signals according to the vehicle analysis data and the road analysis data, obtaining an early warning signal set by using different early warning signal combinations, and sending the early warning signal set to the regulation and control module; the method comprises the following specific steps:
acquiring vehicle analysis data, and if the vehicle analysis data contains a first bearing signal, generating a first air bag early warning signal, wherein the first vehicle early warning signal indicates that the pressure of an air bag is smaller than a standard air pressure range; if the vehicle analysis data contains a third bearing signal, generating a second vehicle early warning signal, wherein the second vehicle early warning signal indicates that the pressure of the air bag is greater than the standard air pressure range and the temperature of the air bag exceeds the standard temperature range;
acquiring road analysis data, if the road analysis data contains a second adaptive signal, acquiring height-limited obstacle height and hollow depth of a road when the second adaptive signal is acquired, judging that the height-limited obstacle height is lower than the height of a carriage or the hollow depth exceeds the distance between a chassis and the ground, and generating a first road early warning signal; if the road analysis data contains the third adaptive signal, generating a second road early warning signal;
the first vehicle early warning signal, the second vehicle early warning signal, the first road early warning signal and the second road early warning signal form an early warning signal set;
the regulation and control module is used for regulating the state of the air bag and regulating and controlling the operation of the vehicle according to the early warning signal set; the method comprises the following specific steps:
acquiring an early warning signal set, and inflating an air bag according to a first vehicle early warning signal to improve the pressure of the air bag if the early warning signal set comprises the first vehicle early warning signal; if the early warning signals contain a second vehicle early warning signal in a centralized manner, exhausting the air bag according to the second vehicle early warning signal to reduce the pressure of the air bag and cooling the air bag;
if the early warning signals collectively comprise first road early warning signals, inflating the air bags according to the first road early warning signals to lift the air bags to enable the vehicle chassis to rise through the potholes, or deflating the air bags to reduce the height of the carriage to enable the carriage to reduce and pass through the height-limiting obstacle; if the early warning signal set comprises a second road early warning signal, enabling the vehicle to stop running according to the second road early warning signal;
the data transmission module is used for transmitting data among the modules;
the above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
The operation principle of the invention is as follows: compared with the prior art, in each aspect of the invention, through the cooperation of the data acquisition module, the data transmission module, the data processing module, the data analysis module, the early warning module and the regulation and control module, the vehicle acquisition unit in the data acquisition module is used for acquiring vehicle information, wherein the vehicle information comprises air bag pressure data, air bag temperature data and model data, the environment acquisition unit is used for acquiring road state information, the road state information comprises road pothole data, ground temperature data and height-limiting obstacle data, and the data transmission module is used for sending the vehicle information and the road state information to the data processing module; the state of the air bag can be monitored and adjusted in time by comprehensively analyzing air bag pressure data, air bag temperature data and model data, road depression data, ground temperature data and height-limiting obstacle data;
the method comprises the steps that a data processing module is used for receiving and processing vehicle information and road state information, calculating the vehicle information and the road state information to obtain a bearing value of a vehicle and an adaptation value of a road, combining the bearing value with data in the vehicle information to obtain vehicle processing information, combining the adaptation value with the data in the road state information to obtain road processing information, classifying and combining the vehicle processing information and the road processing information to obtain data processing information, and sending the data processing information to a data analysis module through a data transmission module; the bearing value of the vehicle and the adaptation value of the road are obtained through calculation, and the bearing value and the adaptation value are analyzed, so that data support can be provided for early warning and regulation of the air bag;
the data analysis module is used for receiving the data processing information, analyzing the bearing value of the vehicle and the adaptation value of the road in the data processing information to obtain vehicle analysis data and road analysis data, and sending the vehicle analysis data and the road analysis data to the early warning module; different states of the air bag can be obtained by analyzing the bearing value and the adaptive value so as to be adjusted in time;
generating different early warning signals according to the vehicle analysis data and the road analysis data by using an early warning module, combining the different early warning signals to obtain an early warning signal set, and sending the early warning signal set to a regulation and control module;
utilize the regulation and control module to adjust the state of gasbag and regulate and control the operation of vehicle according to the early warning signal set, can reach the purpose that improves the result of use of gasbag to monitoring the pressure and the temperature of gasbag and in time adjusting the state of gasbag to and come through the purpose of different limit for height obstacles and potholes on the road through the state that changes the gasbag.
In the embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is to be understood that the word "comprising" does not exclude other modules or steps, and the singular does not exclude the plural. A plurality of modules or means recited in the system claims may also be implemented by one module or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (7)
1. The intelligent management system for the air suspension airbag of the passenger car is characterized by comprising a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and a regulation and control module;
the data acquisition module comprises a vehicle acquisition unit and an environment acquisition unit, the vehicle acquisition unit is used for acquiring vehicle information, the vehicle information comprises air bag pressure data, air bag temperature data and model data, the environment acquisition unit is used for acquiring road state information, the road state information comprises road depression data, ground temperature data and height-limiting obstacle data, and the vehicle information and the road state information are sent to the data processing module through the data transmission module;
the data processing module is used for receiving and processing the vehicle information and the road state information, calculating the vehicle information and the road state information to obtain a bearing value of a vehicle and an adaptation value of a road, combining the bearing value with data in the vehicle information to obtain vehicle processing information, combining the adaptation value with the data in the road state information to obtain road processing information, classifying and combining the vehicle processing information and the road processing information to obtain data processing information, and sending the data processing information to the data analysis module through the data transmission module; the data analysis module is used for receiving the data processing information, analyzing the bearing value of the vehicle and the adaptation value of the road in the data processing information to obtain vehicle analysis data and road analysis data, and sending the vehicle analysis data and the road analysis data to the early warning module;
the early warning module is used for generating different early warning signals according to the vehicle analysis data and the road analysis data, obtaining an early warning signal set by using different early warning signal combinations, and sending the early warning signal set to the regulation and control module; the regulation and control module is used for regulating the state of the air bag and regulating and controlling the operation of the vehicle according to the early warning signal set; the data transmission module is used for transmitting data among the modules.
2. The intelligent passenger car air suspension airbag management system according to claim 1, wherein the data processing module is configured to receive and process vehicle information and road state information to obtain vehicle processing information and road processing information, and the specific steps include:
s21: acquiring airbag pressure data, airbag temperature data and model data in vehicle information, marking an airbag pressure value in the airbag pressure data as K1, and marking an airbag temperature value in the airbag temperature data as K2;
s22: obtaining tire models, tire radii and carriage heights in the model data, setting different tire models to correspond to different tire preset values, matching the tire models with all the tire models to obtain corresponding tire preset values and marking the tire preset values as K3, marking the tire radii as K4 and marking the carriage heights as K5;
s23: acquiring a load bearing value of the vehicle by using a formula;
s24: combining the bearing value with the marked air bag pressure value, air bag temperature value, tire preset value, tire radius and carriage height to obtain vehicle processing information;
s25: acquiring road depression data, ground temperature data and height-limiting obstacle data in the road state information, marking the ground temperature value in the ground temperature data as W1, calculating the difference value between the height-limiting obstacle value and the height of the carriage in the height-limiting obstacle data, and setting the difference value as a first difference value W2;
s26: acquiring the hole depth in the road hole data, marking the hole depth as W3, setting the distance between the chassis and the road ground as a standard distance, calculating the difference value between the hole depth and the standard distance, and setting the difference value as a second difference value W4;
s27: obtaining the adaptation value of the road by using a formula;
s28: and combining the adaptation value with the marked ground temperature value, the hollow depth, the first difference value and the second difference value to obtain road processing information.
3. The intelligent passenger vehicle air suspension airbag management system as claimed in claim 2, wherein the load value of the vehicle is obtained by using the formula: wherein m1, m2, m3 and m4 are all expressed as preset different proportionality coefficients, m1> m2> m3> m4, and mu is expressed as a preset vehicle correction factor.
4. The intelligent passenger vehicle air suspension airbag management system as claimed in claim 2, wherein the adaptation value of the road is obtained by using a formula: wherein a1 and a2 are both expressed as different proportionality coefficients, and a1> a2, and alpha is expressed as a preset road correction factor.
5. The intelligent management system for passenger car air suspension airbags as claimed in claim 1, wherein the load-bearing value of the vehicle and the adaptation value of the road in the data processing information are analyzed to obtain vehicle analysis data and road analysis data, and the specific analysis steps include:
s51: comparing the bearing value with a preset standard bearing range, and if the bearing value is smaller than the minimum value of the standard bearing range, generating a first bearing signal, wherein the first bearing signal represents that the pressure of the air bag is in an abnormal state;
s52: if the bearing value belongs to the standard bearing range, generating a second bearing signal, wherein the second bearing signal represents that the air bag pressure and the air bag temperature both belong to normal states;
s53: if the bearing value is larger than the maximum value of the standard bearing range, generating a third bearing signal, wherein the third bearing signal represents that the air bag pressure and the air bag temperature are in abnormal states; the first load bearing signal, the second load bearing signal and the third load bearing signal form vehicle analysis data;
s54: comparing the adaptation value with a preset standard adaptation range, and if the adaptation value is not smaller than the maximum value of the standard adaptation range, generating a first adaptation signal, wherein the first adaptation signal indicates that height-limiting obstacles and potholes on a road are in the normal driving range of the vehicle;
s55: if the adaptation value belongs to the standard adaptation range, generating a second adaptation signal, wherein the second adaptation signal indicates that at least one of height-limited obstacles and potholes on the road is not in the normal driving range of the vehicle;
s56: if the adaptation value is not larger than the minimum value of the standard adaptation range, generating a third adaptation signal, wherein the third adaptation signal indicates that the height-limited obstacle and the pothole on the road are not in the normal driving range of the vehicle; the first adaptation signal, the second adaptation signal and the third adaptation signal form road analysis data.
6. The intelligent passenger car air suspension airbag management system according to claim 1, wherein the early warning module is configured to generate different early warning signals according to vehicle analysis data and road analysis data, and obtain an early warning signal set by using different early warning signal combinations, and the specific steps include:
s61: acquiring vehicle analysis data, and if the vehicle analysis data contains a first bearing signal, generating a first air bag early warning signal, wherein the first vehicle early warning signal indicates that the pressure of an air bag is smaller than a standard air pressure range; if the vehicle analysis data contains a third bearing signal, generating a second vehicle early warning signal, wherein the second vehicle early warning signal indicates that the pressure of the air bag is greater than the standard air pressure range and the temperature of the air bag exceeds the standard temperature range;
s62: acquiring road analysis data, if the road analysis data contains a second adaptive signal, acquiring height-limited obstacle height and hollow depth of a road when the second adaptive signal is acquired, judging that the height-limited obstacle height is lower than the height of a carriage or the hollow depth exceeds the distance between a chassis and the ground, and generating a first road early warning signal; if the road analysis data contains the third adaptive signal, generating a second road early warning signal;
s63: the first vehicle early warning signal, the second vehicle early warning signal, the first road early warning signal and the second road early warning signal form an early warning signal set.
7. The intelligent passenger car air suspension airbag management system according to claim 1, wherein the regulation and control module is used for regulating the state of the airbag and regulating and controlling the operation of the vehicle according to the early warning signal set, and the specific steps include:
s71: acquiring an early warning signal set, and inflating an air bag according to a first vehicle early warning signal to improve the pressure of the air bag if the early warning signal set comprises the first vehicle early warning signal; if the early warning signals contain a second vehicle early warning signal in a centralized manner, exhausting the air bag according to the second vehicle early warning signal to reduce the pressure of the air bag and cooling the air bag;
s72: if the early warning signals collectively comprise first road early warning signals, inflating the air bags according to the first road early warning signals to lift the air bags to enable the vehicle chassis to rise through the potholes, or deflating the air bags to reduce the height of the carriage to enable the carriage to reduce and pass through the height-limiting obstacle; and if the early warning signal set comprises a second road early warning signal, enabling the vehicle to stop running according to the second road early warning signal.
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| CN113359527A (en) * | 2021-06-11 | 2021-09-07 | 安徽钟强防护科技有限公司 | Harmful gas purification control system for closed space |
| CN114463989B (en) * | 2021-12-13 | 2023-09-08 | 浙江明航智能科技有限公司 | Civil aviation special vehicle limit for height detecting system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4753328A (en) * | 1985-02-08 | 1988-06-28 | Group Lotus Plc | Vehicle suspension systems and damping arrangements therefor |
| KR20080045372A (en) * | 2006-11-20 | 2008-05-23 | 현대자동차주식회사 | System and method for controling rear suspension for automobile |
| DE102007048457A1 (en) * | 2007-10-10 | 2009-04-16 | Contitech Luftfedersysteme Gmbh | Pneumatic spring for use in instrument panel of vehicle, has ultrasonic sensor recording measured values and comparing recorded values with stored characteristics, where actual load of spring is determined by comparison |
| CN101417596A (en) * | 2008-11-18 | 2009-04-29 | 江苏大学 | Control method of automobile air suspension |
| CN203093670U (en) * | 2013-01-25 | 2013-07-31 | 中国公路车辆机械有限公司 | Passenger car pneumatic suspension control system |
| CN203126448U (en) * | 2013-04-03 | 2013-08-14 | 李晓秋 | Suspending air-bag control device of semitrailer |
| CN104908549A (en) * | 2014-03-11 | 2015-09-16 | 武汉维思艾克软件有限公司 | Control method for combined type air suspension balance bridge |
| CN106467112A (en) * | 2016-10-11 | 2017-03-01 | 斑马信息科技有限公司 | Vehicle-mounted DAS (Driver Assistant System) |
-
2021
- 2021-02-04 CN CN202110157584.3A patent/CN112721562B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4753328A (en) * | 1985-02-08 | 1988-06-28 | Group Lotus Plc | Vehicle suspension systems and damping arrangements therefor |
| KR20080045372A (en) * | 2006-11-20 | 2008-05-23 | 현대자동차주식회사 | System and method for controling rear suspension for automobile |
| DE102007048457A1 (en) * | 2007-10-10 | 2009-04-16 | Contitech Luftfedersysteme Gmbh | Pneumatic spring for use in instrument panel of vehicle, has ultrasonic sensor recording measured values and comparing recorded values with stored characteristics, where actual load of spring is determined by comparison |
| CN101417596A (en) * | 2008-11-18 | 2009-04-29 | 江苏大学 | Control method of automobile air suspension |
| CN203093670U (en) * | 2013-01-25 | 2013-07-31 | 中国公路车辆机械有限公司 | Passenger car pneumatic suspension control system |
| CN203126448U (en) * | 2013-04-03 | 2013-08-14 | 李晓秋 | Suspending air-bag control device of semitrailer |
| CN104908549A (en) * | 2014-03-11 | 2015-09-16 | 武汉维思艾克软件有限公司 | Control method for combined type air suspension balance bridge |
| CN106467112A (en) * | 2016-10-11 | 2017-03-01 | 斑马信息科技有限公司 | Vehicle-mounted DAS (Driver Assistant System) |
Non-Patent Citations (1)
| Title |
|---|
| 斯太尔牵引车空气悬挂系统的工作原理及其设计改进;于峻峰;《重型汽车》;20001031;第15-16页 * |
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