Calibration method and device for load sensor of vehicle, vehicle and storage medium

Abstract

The invention discloses a calibration method and device for a load sensor of a vehicle, the vehicle and a storage medium. The method comprises the steps that a front axle load value, a middle axle load value, a rear axle load value and a whole vehicle actual load value of the vehicle are obtained; determining a whole vehicle target load value according to the front axle load value, the middle axle load value and the rear axle load value; and calibrating the load sensor according to the target load value of the whole vehicle and the actual load value of the whole vehicle. The overload phenomenon is effectively prevented, the driving safety is ensured, the service life of the vehicle is prolonged, meanwhile, the number of load sensors is reduced, and the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular, to a calibration method and device for a load sensor of a vehicle, a vehicle, and a storage medium. Background Art

[0002] In the logistics transportation industry, trucks, as important carriers, have received wide attention for their safety and transportation efficiency. In order to prevent potential safety hazards and road damage caused by overloading, it is necessary to detect the vehicle load.

[0003] However, in the related art, most trucks adopt a multi-axle structure design, with uneven weight distribution between different axles, and traditional weighing methods require installing independent sensors on each axle, resulting in a complex system, high cost, and difficult maintenance. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0005] To this end, one object of the present invention is to propose a calibration method for a load sensor of a vehicle, which effectively prevents overloading, ensures driving safety and extends the service life of the vehicle, while reducing the number of load sensors and lowering the cost.

[0006] To this end, the second object of the present invention is to propose a calibration device for a load sensor of a vehicle.

[0007] To this end, the third object of the present invention is to propose a vehicle.

[0008] To this end, the fourth object of the present invention is to propose a computer-readable storage medium.

[0009] To achieve the above object, an embodiment of the first aspect of the present invention discloses a calibration method for a load sensor of a vehicle. The load sensor is disposed between the middle axle and the rear axle of the vehicle and is used to detect the total load value of the middle axle and the rear axle. The calibration method includes: obtaining the front axle load value, the middle axle load value, the rear axle load value, and the actual vehicle load value of the vehicle; determining the target vehicle load value according to the front axle load value, the middle axle load value, and the rear axle load value; and calibrating the load sensor according to the target vehicle load value and the actual vehicle load value.

[0010] According to the calibration method of the load sensor of a vehicle according to an embodiment of the present invention, after obtaining the front axle load value, the middle axle load value, the rear axle load value and the actual vehicle load value of the vehicle, the target vehicle load value of the vehicle is calculated according to the front axle load value, the middle axle load value and the rear axle load value, and then the load sensor is calibrated according to the target vehicle load value and the actual vehicle load value, so as to accurately estimate the vehicle load, enable the load sensor to accurately reflect the actual load of the vehicle, thus effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced and the cost is lowered.

[0011] In addition, the calibration method of the load sensor of a vehicle according to the above embodiment of the present invention may further have the following additional technical features: In some embodiments, obtaining the front axle load value of the vehicle includes: obtaining the parameter information of the vehicle, where the parameter information includes the model and the vehicle mass of the vehicle; determining the front axle load value according to the model and the vehicle mass of the vehicle, and there is a pre-calibrated corresponding relationship among the model, the vehicle mass and the front axle load value of the vehicle.

[0012] In some embodiments, obtaining the middle axle load value and the rear axle load value includes: determining that both the middle axle load value and the rear axle load value are half of the total load value.

[0013] In some embodiments, determining the target vehicle load value according to the front axle load value, the middle axle load value and the rear axle load value includes: determining the target vehicle load value according to the sum of the front axle load value, the middle axle load value and the rear axle load value.

[0014] In some embodiments, calibrating the load sensor according to the target vehicle load value and the actual vehicle load value of the vehicle includes: determining the vehicle load error range according to the actual vehicle load value and a preset error ratio; when the target vehicle load value is within the vehicle load error range, it is determined that the calibration of the load sensor is effective; when the target vehicle load value exceeds the vehicle load error range, it is determined that the calibration of the load sensor is invalid.

[0015] In some embodiments, the preset error ratio is ±10%.

[0016] In some embodiments, determining the target load value of the entire vehicle based on the front axle load value, the middle axle load value, and the rear axle load value includes: comparing the front axle load value, the middle axle load value, and the rear axle load value with their respective preset load ranges; if the front axle load value, the middle axle load value, and the rear axle load value are all within their respective preset load ranges, determining the target load value of the entire vehicle based on the sum of the front axle load value, the middle axle load value, and the rear axle load value; if the load value of at least one axle among the front axle load value, the middle axle load value, and the rear axle load value exceeds the corresponding preset load range, an error prompt is issued, and the target load value of the entire vehicle is no longer determined based on the sum of the front axle load value, the middle axle load value, and the rear axle load value.

[0017] To achieve the above object, an embodiment of the second aspect of the present invention discloses a calibration device for a load sensor of a vehicle. The load sensor is disposed between the middle axle and the rear axle of the vehicle and is used to detect the total load value of the middle axle and the rear axle. The calibration device includes: an acquisition module, configured to acquire the front axle load value, the middle axle load value, the rear axle load value, and the actual load value of the entire vehicle of the vehicle; a determination module, configured to determine the target load value of the entire vehicle according to the front axle load value, the middle axle load value, and the rear axle load value; a calibration module, configured to calibrate the load sensor according to the target load value of the entire vehicle and the actual load value of the entire vehicle.

[0018] According to the calibration device for a load sensor of a vehicle in an embodiment of the present invention, after the acquisition module acquires the front axle load value, the middle axle load value, the rear axle load value, and the actual load value of the entire vehicle of the vehicle, the determination module calculates the target load value of the entire vehicle of the vehicle according to the front axle load value, the middle axle load value, and the rear axle load value, and the calibration module further calibrates the load sensor according to the target load value of the entire vehicle and the actual load value of the entire vehicle, so as to accurately estimate the vehicle load, enable the load sensor to accurately reflect the actual load condition of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle, and at the same time reducing the number of load sensors and lowering the cost.

[0019] To achieve the above object, an embodiment of the third aspect of the present invention discloses a vehicle, including: the calibration device for a load sensor of a vehicle according to the embodiment of the second aspect of the present invention, or a processor, a memory, and a calibration program for a load sensor of a vehicle stored on the memory and executable on the processor. When the calibration program for a load sensor of the vehicle is executed by the processor, it implements the calibration method for a load sensor of a vehicle according to any one of the embodiments of the first aspect of the present invention.

[0020] For a vehicle according to an embodiment of the present invention, after obtaining the front axle load value, middle axle load value, rear axle load value, and actual vehicle load value of the vehicle, the target vehicle load value of the vehicle is calculated based on the front axle load value, middle axle load value, and rear axle load value. Furthermore, the load sensor is calibrated according to the target vehicle load value and the actual vehicle load value, so as to accurately estimate the vehicle load, enable the load sensor to accurately reflect the actual load of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced and the cost is lowered.

[0021] To achieve the above object, an embodiment of the fourth aspect of the present invention discloses a computer-readable storage medium, on which a calibration program for a load sensor of a vehicle is stored. When the calibration program for the load sensor of the vehicle is executed by a processor, it implements the calibration method for the load sensor of the vehicle as described in any one of the embodiments of the first aspect of the present invention.

[0022] For the computer-readable storage medium according to an embodiment of the present invention, when the calibration program for the load sensor of the vehicle stored thereon is executed by a processor, after obtaining the front axle load value, middle axle load value, rear axle load value, and actual vehicle load value of the vehicle, the target vehicle load value of the vehicle is calculated based on the front axle load value, middle axle load value, and rear axle load value. Furthermore, the load sensor is calibrated according to the target vehicle load value and the actual vehicle load value, so as to accurately estimate the vehicle load, enable the load sensor to accurately reflect the actual load of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced and the cost is lowered.

[0023] The additional aspects and advantages of the present invention will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present invention. Description of the Drawings

[0024] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, where: Figure 1 is a schematic structural diagram of a vehicle weighing system according to an embodiment of the present invention; Figure 2 is a schematic structural diagram of a pressure sensing component according to an embodiment of the present invention; Figure 3 is a schematic connection diagram of a pressure-variable force sensing component and an air suspension system according to an embodiment of the present invention; Figure 4 is a schematic diagram of the corresponding relationship between the change in resistance value and the change in gas pressure according to an embodiment of the present invention; Figure 5It is a flowchart of a calibration method for a load sensor of a vehicle according to an embodiment of the present invention; Figure 6 It is a structural block diagram of a calibration device for a load sensor of a vehicle according to an embodiment of the present invention; Figure 7 It is a structural block diagram of a vehicle according to an embodiment of the present invention; Figure 8 It is a structural block diagram of a vehicle according to another embodiment of the present invention.

[0025] Reference numerals: 110 - Pressure sensing assembly; 120 - Control module; 130 - Calibration module; 140 - Display module; 2 - Calibration device for the load sensor of the vehicle; 3 - Vehicle; 31 - Processor; 32 - Memory. Detailed implementation manners

[0026] The embodiments of the present invention will be described in detail below. The embodiments described with reference to the drawings are exemplary. The embodiments of the present invention will be described in detail below.

[0027] Below, with reference to Figures 1-8 describe a calibration method, device, vehicle, and storage medium for a load sensor of a vehicle according to an embodiment of the present invention.

[0028] First, in combination with Figures 1-4 describe the related structure of the load sensor involved in the embodiment of the present invention.

[0029] Specifically, as Figure 1 shown, the system composed of the pressure sensing assembly 110 and the control module 120 can be referred to as the vehicle weighing system 1010. Among them, the pressure sensing assembly 110 is connected to the air suspension system of the vehicle, and is used to detect the gas pressure of the airbag of the air suspension system and convert the gas pressure into a corresponding voltage signal; the control module 120 is connected to the pressure sensing assembly 110, and is used to receive the voltage signal to determine the current load of the vehicle according to the voltage signal. Among them, a pre-calibrated corresponding relationship between the voltage signal and the current load is stored in the control module 120.

[0030] Among them, as Figure 2As shown, the pressure sensing component 110 is a load sensor, and this load sensor is, for example, a pressure-variable sensor; the air suspension system of the vehicle is arranged between the vehicle's central axis and the rear axle and is used to detect the gas pressure inside the airbag through the pressure sensing component 110. After the pressure sensing component 110 converts the gas pressure into a voltage signal, it transmits the signal to the control module 120. The control module 120 determines the current load of the vehicle according to the pre-calibrated corresponding relationship between the voltage signal and the current load, so that the total load value between the vehicle's central axis and the rear axle can be determined by using the load sensor.

[0031] In the embodiment, the pressure sensing component 110 is connected to the air suspension system of the vehicle. Its main function is to detect in real time the gas pressure inside the airbag in the air suspension system and convert the gas pressure parameter into a corresponding voltage signal for output. Since the airbag of the air suspension system will generate pressure changes due to compression when carrying the vehicle load, this change can accurately reflect the current load state of the vehicle.

[0032] As Figure 3 shown, for example, the air suspension system is connected to the pressure chamber of the pressure sensing component 110 through a pipeline. When the current load of the vehicle changes, the airbag will be compressed or stretched, resulting in changes in the gas pressure inside the airbag. These pressure changes are transmitted to the pressure sensing component 110 through the pipeline, and the pressure sensing component 110 converts the detected gas pressure into a voltage signal.

[0033] The control module 120 is electrically connected to the pressure sensing component 110. The pressure sensing component 110 transmits the voltage signal to the control module 120. After receiving the voltage signal, the control module 120 determines the current load of the vehicle according to the corresponding relationship between the voltage signal and the current load pre-calibrated and stored inside it.

[0034] For example Figure 4 in the shown corresponding relationship, when the voltage corresponding to the voltage signal is 4.5V, it can be determined that the load corresponding to this voltage is 16.85T.

[0035] Among them, the corresponding relationship between the voltage signal and the current load can be established through experimental data, ensuring a high matching accuracy and repeatability between the voltage signal and the load.

[0036] In this way, it is possible to efficiently and accurately monitor the actual load condition of the vehicle, making the determination process of the load more convenient. At the same time, the structure is simple and easy to implement, reducing the cost.

[0037] Further, the pressure sensing component 110 includes: a sensing unit and a conversion unit. Among them, the sensing unit is used to convert the changed gas pressure into a corresponding resistance value when the gas pressure in the airbag changes; the conversion unit is connected to the sensing unit and is used to convert the resistance value into a voltage signal for output.

[0038] In the embodiment, the sensing unit and the conversion unit can realize the conversion of gas pressure into a voltage signal. Specifically, after the sensing unit detects the change in the gas pressure inside the airbag in the air suspension system, it converts the physical pressure change into a corresponding change in resistance value; the conversion unit is electrically connected to the sensing unit. The sensing unit transmits the resistance value to the conversion unit, and the conversion unit receives the resistance value and further converts it into a voltage signal for output through circuit processing.

[0039] Among them, the conversion unit includes, for example, but is not limited to, a pressure transmitter. After receiving the resistance value, the pressure transmitter can convert the detected resistance value into a voltage signal for output, which is convenient for the control module 120 to identify and process, so as to accurately determine the current load of the vehicle.

[0040] Further, the sensing unit includes: a sensing diaphragm and a piezoresistive element. Among them, the sensing diaphragm is used to generate a corresponding mechanical deformation when the gas pressure in the airbag changes; the piezoresistive element is arranged on the sensing diaphragm and is used to convert the mechanical deformation into a corresponding resistance value.

[0041] Among them, the piezoresistive element includes, for example, a piezoresistive resistor.

[0042] In the embodiment, when the gas pressure in the airbag changes, the sensing diaphragm will generate a corresponding mechanical deformation; the piezoresistive element is arranged on or on the surface of the sensing diaphragm, and the resistance value changes with the mechanical deformation of the diaphragm, thus realizing the perception and conversion of gas pressure.

[0043] As Figure 4 shown, as the gas pressure in the airbag increases, the sensing diaphragm undergoes mechanical deformation, resulting in an increase in the resistance value of the piezoresistive element, so that the voltage signal finally converted based on the resistance value will also increase accordingly, thus realizing the positive mapping from pressure change to voltage signal, which is convenient for subsequent accurate monitoring and analysis of the vehicle load state.

[0044] Further, as Figure 1 shown, the vehicle weighing system 100 further includes: a calibration module 130, which is respectively connected to the pressure sensing component 110 and the control module 120, and is used to receive the voltage signal and calibrate the voltage signal to output a calibrated voltage signal.

[0045] In the embodiment, as Figure 1As shown, the calibration module 130 is respectively connected to the pressure sensing component 110 and the control module 120, receives the voltage signal output by the pressure sensing component 110, and performs calibration processing on the voltage signal to eliminate possible errors or deviations, ensuring that the output voltage signal accurately reflects the true state of the gas pressure in the airbag. Then, the calibrated voltage signal is transmitted to the control module 120, enabling the control module 120 to perform analysis and processing based on the more accurate voltage signal, thereby achieving a more accurate monitoring of the vehicle load situation.

[0046] Further, the calibration module 130 includes: a temperature detection unit for detecting the operating ambient temperature of the pressure sensing component 110.

[0047] In an embodiment, the temperature detection unit includes, for example, a temperature sensor. Since temperature changes may affect the electrical characteristics of the internal components (such as piezoresistive elements) of the pressure sensing component 110, thereby causing measurement errors, the operating ambient temperature of the pressure sensing component 110 is obtained through the temperature detection unit, and this operating ambient temperature is combined with the voltage signal output by the pressure sensing component 110. The calibration module 130 performs comprehensive analysis and compensation processing to eliminate or reduce the influence of temperature drift, improve the accuracy of the vehicle load measurement result, and enhance the reliability and adaptability of the vehicle weighing system 100 when operating in different temperature environments.

[0048] Further, the calibration module 130 further includes: a signal correction unit for correcting the voltage signal according to the operating ambient temperature to output a calibrated voltage signal, wherein a pre-calibrated corresponding relationship between the operating ambient temperature and the voltage signal is stored in the signal correction unit.

[0049] In an embodiment, the signal correction unit receives the operating ambient temperature from the temperature detection unit and compensates the current voltage signal according to the pre-calibrated and stored corresponding relationship between the operating ambient temperature and the voltage signal, such as a temperature compensation curve or a compensation parameter table. Since temperature changes may cause the output of the pressure sensing component 110 to drift, resulting in the measurement result deviating from the true value, through this correction method based on pre-stored calibrated data, the errors caused by temperature factors can be effectively eliminated, and a more accurate and stable calibrated voltage signal can be output. This not only improves the measurement accuracy of the vehicle weighing system but also enhances the adaptability and reliability of the system under complex environmental conditions.

[0050] Further, the vehicle weighing system 100 further includes: a protective housing, and the pressure sensing component 110 is installed in the chamber of the protective housing.

[0051] In an embodiment, a chamber is provided inside the protective housing, and the pressure sensing assembly 110 is fixedly installed therein. In this way, the pressure sensing assembly 110 is isolated from the external environment by the protective housing, effectively preventing external factors such as dust, moisture, and vibration from interfering with the normal operation of the pressure sensing assembly 110, and improving the stability and durability of the system. At the same time, the chamber structure can also provide a good sealing and supporting environment for the pressure sensing assembly 110, ensuring that it can still maintain sensitivity and measurement accuracy under complex working conditions. This structure not only enhances the environmental adaptability of the system, but also extends the service life of the pressure sensing assembly 110, which helps to ensure the long-term reliable operation of the vehicle weighing system 100.

[0052] Further, as Figure 1 shown, the vehicle weighing system 100 further includes: a display module 140, connected to the control module 120, for receiving a load signal sent by the control module 120 for indicating the current load, and displaying the current load based on the load signal.

[0053] In an embodiment, the display module 140 is connected to the control module 120. After the control module 120 determines the current load of the vehicle, it sends a load signal for indicating the current load to the display module 140. After receiving the load signal, the display module 140 can intuitively display the current load condition of the vehicle. For example, it displays that the current load of the vehicle is 16.85T on the dashboard. This design enables users to obtain the load data of the vehicle in real time and conveniently, improving the readability of information and the convenience of operation. This not only enhances the user experience, but also improves the efficiency and safety of vehicle load measurement.

[0054] In addition, when the current load of the vehicle exceeds a preset load threshold, that is, when the voltage corresponding to the voltage signal reaches the maximum voltage value Umax, the display module 140 will issue an alarm prompt, such as an audible and visual alarm or a screen flashing prompt, to remind the driver or relevant personnel to take measures in time. The introduction of this alarm function further enhances the safety and practicality of the system, helps to prevent potential safety hazards and equipment damage caused by overloading operation, ensures that the vehicle operates within the safe load range, and improves the safety and compliance of the overall transportation operation. For example, Umax = 4.7V ± 100mV.

[0055] Next, refer to Figure 5 to describe a calibration method for a load sensor of a vehicle according to an embodiment of the present invention, wherein the load sensor is disposed between the central axis and the rear axis of the vehicle for detecting the total load value of the central axis and the rear axis.

[0056] Figure 5 is a flowchart of a calibration method for a load sensor of a vehicle according to an embodiment of the present invention. As Figure 1 shown, the method at least includes steps S1 to S3.

[0057] Step S1, obtain the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle.

[0058] In the embodiment, the load sensor is installed between the middle axle and the rear axle of the vehicle, and is used to detect and output the total load value borne by the middle axle and the rear axle in real time. Specifically, the system first obtains the independent load value of the front axle, and then measures the combined load value of the middle axle and the rear axle by using the load sensor arranged between the middle axle and the rear axle. On this basis, combined with the actual total load value of the whole vehicle, the accurate estimation of the vehicle load is realized, thereby reducing the number of load sensors and lowering the cost.

[0059] Step S2, determine the target vehicle load value according to the front axle load value, middle axle load value and rear axle load value.

[0060] In the embodiment, after obtaining the front axle load value, middle axle load value and rear axle load value, the target vehicle load value can be calculated through a preset algorithm. This target vehicle load value is the current actual load of the vehicle and reflects the loading state of the whole vehicle. Through this calculation process, the real-time monitoring of the vehicle load can be realized, thereby effectively ensuring transportation safety and improving the vehicle operation efficiency.

[0061] Step S3, calibrate the load sensor according to the target vehicle load value and the actual vehicle load value.

[0062] In the embodiment, obtain the target vehicle load value calculated by the loads of each axle, and at the same time determine the actual vehicle load value measured under specific conditions (such as static weighing or calibration based on historical data). Next, compare the difference between these two values, and use this difference to calibrate the load sensor, so that it can more accurately reflect the real load state of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle.

[0063] Thus, according to the calibration method of the load sensor of the vehicle according to the embodiment of the present invention, after obtaining the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle, calculate the target vehicle load value of the vehicle according to the front axle load value, middle axle load value and rear axle load value, and then calibrate the load sensor according to the target vehicle load value and the actual vehicle load value, realize the accurate estimation of the vehicle load, enable the load sensor to accurately reflect the actual load condition of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle, and at the same time reducing the number of load sensors and lowering the cost.

[0064] In an embodiment of the present invention, obtaining the front axle load value of a vehicle includes: obtaining the parameter information of the vehicle, where the parameter information includes the model of the vehicle and the gross vehicle weight; determining the front axle load value according to the model of the vehicle and the gross vehicle weight, and there is a pre-calibrated corresponding relationship among the model of the vehicle, the gross vehicle weight, and the front axle load value.

[0065] In the embodiment, relevant parameter information of the vehicle is collected. Such parameter information includes, for example, the model of the vehicle and the gross vehicle weight. Since vehicles of different models have differences in structural design, wheelbase, and load distribution characteristics, the corresponding relationship among the vehicle model, the gross vehicle weight, and the front axle load value can be established in advance through experiments or simulations. Among them, this corresponding relationship can be in the form of a calibration table in a database, an empirical formula, a fitting curve, etc.

[0066] For example, in practical applications, the vehicle model is H6A, and the gross vehicle weight of this vehicle is 9T. According to the corresponding relationship among the vehicle model, the gross vehicle weight, and the front axle load value, the corresponding front axle load value is determined to be 5T. This method does not require an additional independent front axle load sensor, but instead performs intelligent calculation through existing parameters, thereby reducing the hardware cost and improving the applicability and integration of the system.

[0067] In an embodiment of the present invention, obtaining the middle axle load value and the rear axle load value includes: determining that both the middle axle load value and the rear axle load value are half of the total load value.

[0068] In the embodiment, after obtaining the total load value of the middle axle and the rear axle of the vehicle through a load sensor, the average value of this total load value is used as the middle axle load value and the rear axle load value. This reduces the need for additional sensors and complex calculations, thereby reducing the cost and implementation difficulty of the system, while still being able to provide sufficient information for applications such as monitoring and preventing overloading.

[0069] In an embodiment of the present invention, determining the vehicle target load value according to the front axle load value, the middle axle load value, and the rear axle load value includes: determining the vehicle target load value according to the sum of the front axle load value, the middle axle load value, and the rear axle load value.

[0070] In the embodiment, after obtaining the load data of the front axle load value, the middle axle load value, and the rear axle load value respectively, they are added together to obtain the total weight currently borne by the vehicle, and this total weight is the vehicle target load value, which is used to characterize the actual load state of the vehicle.

[0071] For example, if the front axle load value of a vehicle is 5T and the total load value between the middle axle and the rear axle of the vehicle is obtained through a load sensor as 4.4T, then the rear axle load value and the middle axle load value can be determined to be 2.2T respectively. By adding the front axle load value, the middle axle load value, and the rear axle load value, that is, 9.4 = 5 + 2.2 + 2.2, the target load value of the whole vehicle can be obtained as 9.4T.

[0072] This calculation method based on the sum of the loads of each axle has clear logic and is easy to implement. It can provide a relatively accurate estimation result of the vehicle's total weight without introducing complex algorithms and is applicable to various vehicle models and load monitoring scenarios. At the same time, this method also provides a reliable data basis for subsequent overloading judgment, data calibration, and transportation management.

[0073] In an embodiment of the present invention, calibrating the load sensor according to the target load value of the whole vehicle and the actual load value of the whole vehicle includes: determining the load error range of the whole vehicle according to the actual load value of the whole vehicle and the preset error ratio; when the target load value of the whole vehicle is within the load error range of the whole vehicle, it is determined that the calibration of the load sensor is effective; when the target load value of the whole vehicle exceeds the load error range of the whole vehicle, it is determined that the calibration of the load sensor is invalid.

[0074] In the embodiment, an allowable error range, that is, the load error range of the whole vehicle, is calculated according to the actual load value of the whole vehicle and the preset error ratio. Among them, the preset error ratio can be set according to different vehicle models, sensor accuracy levels, or industry standards. This load error range of the whole vehicle represents the interval within which the target load value of the whole vehicle can reasonably fluctuate under the current conditions.

[0075] Subsequently, compare the target load value of the whole vehicle calculated from the load values of each axle with this load error range of the whole vehicle. For example, the load error range of the whole vehicle is [7.38T, 9.02T]. If the target load value of the whole vehicle is 8.8T, then the target load value of the whole vehicle is within the load error range of the whole vehicle, indicating that the deviation between the measurement result of the load sensor and the actual load value of the whole vehicle is within an acceptable range. At this time, the calibration status of the load sensor is determined to be "effective" and no adjustment is required; on the contrary, if the target load value of the whole vehicle is 9.2T, then the target load value of the whole vehicle exceeds this load error range of the whole vehicle, indicating that there may be a deviation or malfunction in the load sensor, resulting in a decrease in measurement accuracy. At this time, its calibration status is determined to be "invalid", and the load sensor needs to be recalibrated or parameter corrected to restore its measurement accuracy. This method not only realizes the automatic judgment of the calibration status but also improves the intelligence level and reliability of the system, helps to detect and correct measurement errors in a timely manner, and thus ensures the safety and compliance of the vehicle during transportation.

[0076] In an embodiment of the present invention, the preset error ratio is ±10%.

[0077] In an embodiment, for example, the actual vehicle load value is 8.2T. By calculating the actual vehicle load value and the preset error ratio, the vehicle load error range can be calculated. That is, by calculating the actual vehicle load value of 8.2T and the preset error ratio of +10%, the upper limit value of the vehicle load error range can be calculated. The upper limit value of the vehicle load error range is 8.2T×(1 + 10%) = 9.02T. By calculating the actual vehicle load value of 8.2T and the preset error ratio of -10%, the lower limit value of the vehicle load error range can be calculated. The lower limit value of the vehicle load error range is 8.2T×(1 - 10%) = 7.38T. Thus, the vehicle load error range of the vehicle can be determined as [7.38T, 9.02T].

[0078] According to the determined vehicle load error range, the calculated vehicle target load value is verified, and the judgment of the calibration result of the load sensor can be realized.

[0079] Table 1, Vehicle target load values of different vehicle models.

[0080]

[0081] Table 1 For example, as shown in Table 1, different vehicle target load values can be determined for different vehicle models, and these vehicles are all six-wheel drive and four-axle configured vehicles.

[0082] Taking the vehicle with vehicle number 3 as an example. The actual vehicle load value of the vehicle with vehicle number 3 is 8.118T. According to the preset error ratio, the vehicle load error range of this vehicle is (7.3T, 9T). As can be seen from Table 1, the vehicle target load value of this vehicle is 9.4T. It is further determined that the vehicle target load value exceeds the vehicle load error range, so it is determined that the calibration of the load sensor is invalid.

[0083] In an embodiment of the present invention, determining the vehicle target load value according to the front axle load value, the middle axle load value, and the rear axle load value includes: comparing the front axle load value, the middle axle load value, and the rear axle load value with their corresponding preset load ranges respectively; if the front axle load value, the middle axle load value, and the rear axle load value are all within their corresponding preset load ranges, then determining the vehicle target load value based on the sum of the front axle load value, the middle axle load value, and the rear axle load value; if the load value of at least one axle among the front axle load value, the middle axle load value, and the rear axle load value exceeds the corresponding preset load range, an error prompt is issued, and the vehicle target load value is no longer determined based on the sum of the front axle load value, the middle axle load value, and the rear axle load value.

[0084] Among them, the preset load ranges corresponding to the front axle load value, the middle axle load value, and the rear axle load value are reasonable intervals preset based on factors such as vehicle design parameters, safety standards, and the maximum allowable load weight, etc., which are used to ensure that the load distribution of each axle not only meets the design requirements of the vehicle but also guarantees the driving safety.

[0085] In the embodiment, if the load values of all axles are within their respective preset load ranges, it can be considered that the current load distribution is reasonable. At this time, the system will determine the vehicle's overall target load value based on the sum of these three axle load values as a reflection of the vehicle's current actual load capacity.

[0086] However, once it is detected that the load value of at least one axle exceeds its preset load range, the system will immediately issue an error prompt indicating that there are potential safety hazards or non-compliance issues with the current load distribution. At this time, the vehicle's overall target load value is no longer calculated based on the sum of the axle load values to avoid risk assessment errors or operational mistakes caused by inaccurate data. This method not only helps to ensure the safety and stability of vehicle operation but also effectively prevents mechanical damage and accident risks caused by overloading or uneven load distribution.

[0087] According to the calibration method of the load sensor of the vehicle according to the embodiment of the present invention, after obtaining the front axle load value, the middle axle load value, the rear axle load value, and the vehicle's actual load value of the vehicle, the vehicle's overall target load value is calculated based on the front axle load value, the middle axle load value, and the rear axle load value. Then, the load sensor is calibrated according to the vehicle's overall target load value and the vehicle's actual load value, realizing accurate estimation of the vehicle's load, enabling the load sensor to accurately reflect the actual load situation of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced, and the cost is lowered.

[0088] A further embodiment of the present invention also discloses a calibration device for a load sensor of a vehicle.

[0089] As Figure 6 shown, the calibration device 2 of the load sensor of the vehicle includes: an acquisition module 21, a determination module 22, and a calibration module 23.

[0090] Among them, the acquisition module 21 is used to acquire the front axle load value, the middle axle load value, the rear axle load value, and the vehicle's actual load value of the vehicle; the determination module 22 is used to determine the vehicle's overall target load value based on the front axle load value, the middle axle load value, and the rear axle load value; the calibration module 23 is used to calibrate the load sensor according to the vehicle's overall target load value and the vehicle's actual load value.

[0091] In an embodiment of the present invention, the obtaining module 21 obtains the front axle load value of the vehicle, including: obtaining the parameter information of the vehicle, where the parameter information includes the model and the gross vehicle weight of the vehicle; determining the front axle load value according to the model and the gross vehicle weight of the vehicle, wherein there is a pre-calibrated corresponding relationship among the model, the gross vehicle weight and the front axle load value of the vehicle.

[0092] In an embodiment of the present invention, the obtaining module 21 obtains the middle axle load value and the rear axle load value, including: determining that both the middle axle load value and the rear axle load value are half of the total load value.

[0093] In an embodiment of the present invention, the determining module 22 determines the vehicle target load value according to the front axle load value, the middle axle load value and the rear axle load value, including: determining the vehicle target load value according to the sum of the front axle load value, the middle axle load value and the rear axle load value.

[0094] In an embodiment of the present invention, the calibration module 23 calibrates the load sensor according to the vehicle target load value and the actual vehicle load value, including: determining the vehicle load error range according to the actual vehicle load value and the preset error ratio; when the vehicle target load value is within the vehicle load error range, it is determined that the load sensor calibration is effective; when the vehicle target load value exceeds the vehicle load error range, it is determined that the load sensor calibration is invalid.

[0095] In an embodiment of the present invention, the preset error ratio is ±10%.

[0096] In an embodiment of the present invention, the determining module 22 determines the vehicle target load value according to the front axle load value, the middle axle load value and the rear axle load value, including: comparing the front axle load value, the middle axle load value and the rear axle load value with their corresponding preset load ranges respectively; if the front axle load value, the middle axle load value and the rear axle load value are all within their corresponding preset load ranges, the vehicle target load value is determined based on the sum of the front axle load value, the middle axle load value and the rear axle load value; if the load value of at least one axle among the front axle load value, the middle axle load value and the rear axle load value exceeds the corresponding preset load range, an error prompt is issued, and the vehicle target load value is no longer determined based on the sum of the front axle load value, the middle axle load value and the rear axle load value.

[0097] The calibration device 2 of the load sensor of a vehicle according to an embodiment of the present invention. After the acquisition module 21 acquires the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle, the determination module 22 calculates the target vehicle load value of the vehicle according to the front axle load value, middle axle load value and rear axle load value. Then, the calibration module 23 calibrates the load sensor according to the target vehicle load value and the actual vehicle load value, realizing accurate estimation of the vehicle load, enabling the load sensor to accurately reflect the actual load of the vehicle, thus effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced and the cost is lowered.

[0098] A further embodiment of the present invention also discloses a vehicle.

[0099] In some embodiments, as Figure 7 shown, the vehicle 3 includes the calibration device 2 of the load sensor of the vehicle described in the above embodiment of the present invention.

[0100] In other embodiments, as Figure 8 shown, the vehicle 3 includes a processor 31, a memory 32, and a calibration program for the load sensor of the vehicle stored on the memory and executable on the processor 31. When the calibration program for the load sensor of the vehicle is executed by the processor 31, it realizes the calibration method for the load sensor of the vehicle described in the above embodiment of the present invention.

[0101] For the vehicle 3 according to an embodiment of the present invention, after acquiring the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle, it calculates the target vehicle load value of the vehicle according to the front axle load value, middle axle load value and rear axle load value, and then calibrates the load sensor according to the target vehicle load value and the actual vehicle load value, realizing accurate estimation of the vehicle load, enabling the load sensor to accurately reflect the actual load of the vehicle, thus effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle. At the same time, the number of load sensors is reduced and the cost is lowered.

[0102] A further embodiment of the present invention also discloses a computer-readable storage medium. A calibration program for the load sensor of the vehicle is stored on the computer-readable storage medium. When the calibration program for the load sensor of the vehicle is executed by a processor, it realizes the calibration method for the load sensor of the vehicle described in the above embodiment of the present invention.

[0103] When the calibration program of the load sensor of a vehicle stored on a computer-readable storage medium according to an embodiment of the present invention is executed by a processor, after obtaining the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle, the target vehicle load value of the vehicle is calculated according to the front axle load value, middle axle load value and rear axle load value, and then the load sensor is calibrated according to the target vehicle load value and the actual vehicle load value, so as to accurately estimate the vehicle load, enable the load sensor to accurately reflect the actual load condition of the vehicle, thereby effectively preventing overloading, ensuring driving safety and extending the service life of the vehicle, while reducing the number of load sensors and lowering the cost.

[0104] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example.

[0105] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A calibration method for a load sensor of a vehicle, characterized in that, The load sensor is disposed between the middle axle and the rear axle of the vehicle and is used to detect the total load value of the middle axle and the rear axle. The calibration method includes: Obtaining the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle; Determining the target vehicle load value according to the front axle load value, the middle axle load value and the rear axle load value; Calibrating the load sensor according to the target vehicle load value and the actual vehicle load value.

2. The calibration method of the load sensor of the vehicle according to claim 1, characterized in that, Obtaining the front axle load value of the vehicle includes: Obtaining the parameter information of the vehicle, where the parameter information includes the model of the vehicle and the vehicle mass; Determining the front axle load value according to the model of the vehicle and the vehicle mass, where there is a pre-calibrated corresponding relationship between the model of the vehicle, the vehicle mass and the front axle load value.

3. The calibration method of the load sensor of the vehicle according to claim 1, wherein, Obtaining the middle axle load value and the rear axle load value includes: Determining that both the middle axle load value and the rear axle load value are half of the total load value.

4. The calibration method of the load sensor of the vehicle according to claim 1, characterized in that Determining the target vehicle load value according to the front axle load value, the middle axle load value and the rear axle load value includes: Determining the target vehicle load value according to the sum of the front axle load value, the middle axle load value and the rear axle load value.

5. The calibration method of the load sensor of the vehicle according to claim 1, characterized in that, Calibrating the load sensor according to the target vehicle load value and the actual vehicle load value includes: Determining the vehicle load error range according to the actual vehicle load value and a preset error ratio; When the target vehicle load value is within the vehicle load error range, it is determined that the load sensor calibration is valid; When the target vehicle load value exceeds the vehicle load error range, it is determined that the load sensor calibration is invalid.

6. The calibration method of the load sensor of a vehicle according to claim 4, characterized in that, The preset error ratio is ±10%.

7. The calibration method of the load sensor of the vehicle according to claim 1, characterized in that, Determining the target vehicle load value according to the front axle load value, the middle axle load value and the rear axle load value includes: Comparing the front axle load value, the middle axle load value and the rear axle load value with their corresponding preset load ranges respectively; If the front axle load value, the middle axle load value and the rear axle load value are all within their corresponding preset load ranges, the target vehicle load value is determined based on the sum of the front axle load value, the middle axle load value and the rear axle load value; If the load value of at least one of the front axle load value, the middle axle load value and the rear axle load value exceeds the corresponding preset load range, an error prompt is issued, and the target vehicle load value is no longer determined based on the sum of the front axle load value, the middle axle load value and the rear axle load value.

8. A calibration device for a load sensor of a vehicle, characterized in that, The load sensor is disposed between the middle axle and the rear axle of the vehicle and is used to detect the total load value of the middle axle and the rear axle. The calibration device includes: An acquisition module for acquiring the front axle load value, middle axle load value, rear axle load value and actual vehicle load value of the vehicle; A determination module for determining the target vehicle load value according to the front axle load value, the middle axle load value and the rear axle load value; A calibration module for calibrating the load sensor according to the target vehicle load value and the actual vehicle load value.

9. A vehicle, characterized in that, Includes: The calibration device for the load sensor of a vehicle as claimed in claim 8; Or A processor, a memory, and a calibration program for the load sensor of a vehicle stored on the memory and executable on the processor, wherein when the calibration program for the load sensor of the vehicle is executed by the processor, it implements the calibration method for the load sensor of the vehicle as claimed in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A calibration program for the load sensor of a vehicle is stored on the computer-readable storage medium, and when the calibration program for the load sensor of the vehicle is executed by the processor, it implements the calibration method for the load sensor of the vehicle as claimed in any one of claims 1-7.

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