System and method for detecting vehicle sensor errors
By filtering and offset calculation of the vehicle sensor values, sensor aging or malfunctions can be identified and corrected, solving the problem of decreased tire pressure determination logic performance caused by sensor aging and improving the accuracy of judgment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HYUNDAI MOTOR CO LTD
- Filing Date
- 2020-10-27
- Publication Date
- 2026-05-08
AI Technical Summary
In existing technologies, when vehicle sensors age or malfunction, the performance of tire pressure determination logic may deteriorate, making it impossible to accurately determine the tire pressure status.
By performing first and second filtering on the sensed values of the vehicle sensors on the server side, outliers are eliminated, offset values are calculated, it is determined whether the sensors are aging or malfunctioning, and corresponding messages are sent to the vehicle to stop or check the sensors.
Effectively identify and correct sensor aging or malfunctions, improve the accuracy of tire pressure determination logic, and prevent performance degradation.
Smart Images

Figure CN113997944B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to an error sensing system and method for vehicle sensors. Background Technology
[0002] Tire pressure management is crucial for safe vehicle operation; therefore, an indirect tire pressure monitoring system (TPMS) technology is being developed that uses onboard sensors to provide tire pressure information. Indirect TPMS indicates whether a tire is underinflated by calculating the relative change in pressure based on normal operating conditions. Normal operating pressure can be stored via a user-input setting button and can be learned through driving practice. Indirect TPMS can acquire the dynamic rolling radius and tire resonance frequency of all four wheels calculated during the learning period, and can determine underinflation by comparing the dynamic rolling radius of the four wheels with the tire resonance frequency during actual driving.
[0003] However, even under abnormal pressure conditions, users can operate the setting button, and when the sensor is aging or malfunctioning, it may determine the tire pressure through incorrect sensing values, thereby degrading the performance of the determination logic.
[0004] The information disclosed in this background section is intended only to enhance the understanding of the background technology of the present invention, and therefore may contain information that does not constitute prior art known to those skilled in the art in this country. Summary of the Invention
[0005] This invention aims to provide an error sensing system and method for vehicle sensors, which can prevent the performance degradation of tire pressure determination logic by determining the aging or failure of vehicle sensors based on the vehicle's sensed values.
[0006] The technical objectives of this invention are not limited to those described above, and other technical objectives not mentioned can be clearly understood by those skilled in the art based on the description of the claims.
[0007] An exemplary embodiment of the present invention provides an error sensing system for a vehicle sensor, comprising: a vehicle configured to include a sensor for acquiring sensing values for determining tire pressure; and a server configured to perform a first filtering and a second filtering on the sensing values received from the vehicle to determine whether the sensor is aging or malfunctioning based on the second-filtered sensing values, and to send the determination result to the vehicle.
[0008] The sensing values may include: the first sensing value acquired immediately after the vehicle starts and the second sensing value acquired just before the vehicle stops starting.
[0009] The server can perform a first filtering to collect sensing values received from the vehicle by traveling on routes with the same origin and destination.
[0010] The server can perform a second filter to collect sensing values obtained by excluding values greater than the upper neighbor value UAV and less than the lower neighbor value LAV from the sensing values collected after the first filter.
[0011] The server can send a message to the vehicle to trigger the TPMS button to stop operation and to perform a check. The server sends a value greater than UAV and less than LAV from the second filtered collection of sensing values.
[0012] The server can calculate the first offset based on the sensed values collected after the second filtering.
[0013] The server determines that the sensor has malfunctioned when the first offset is outside the normal defined range and outside the entire trend range set based on the second offset calculated from the same vehicle model.
[0014] When a sensor malfunction is detected, the server can send a message to the vehicle whose sensor is identified as malfunctioning, triggering the TPMS button to stop operation and perform an inspection.
[0015] The server can determine sensor aging when the first offset is outside the normal defined range and not outside the entire trend range set based on the second offset calculated from the same vehicle model.
[0016] When sensor aging is determined, the server can change the normal determination range of the vehicle whose sensor is determined to be aging based on a second offset.
[0017] An exemplary embodiment of the present invention provides an error sensing method for a vehicle sensor, comprising: acquiring a sensing value of a sensor for determining vehicle tire pressure; performing a first filtering and a second filtering on the sensing value received from the vehicle; and determining, based on the second filtered sensing value, whether the sensor is aging or malfunctioning, and sending the determination result to the vehicle.
[0018] The sensing values may include: the first sensing value acquired immediately after the vehicle starts and the second sensing value acquired just before the vehicle stops starting.
[0019] When performing the first filtering and the second filtering, the first filtering can be performed to collect sensing values received from the vehicle obtained by traveling on a route with the same origin and destination.
[0020] When performing the first and second filtering, the second filtering can be performed to collect the sensing values obtained by excluding values greater than the upper neighbor value UAV and less than the lower neighbor value LAV from the sensing values collected after the first filtering.
[0021] After the second filtering, a message can be generated to trigger the TPMS button operation to stop and check, and this message is sent to the vehicle with a value greater than UAV and less than LAV.
[0022] The first offset can be calculated based on the sensed values collected after the second filtering.
[0023] A sensor malfunction can be determined when the first offset is outside the normal defined range and outside the entire trend range set based on the second offset calculated from the same vehicle model.
[0024] When a sensor malfunction is detected, a message can be sent to the vehicle where the sensor is identified as malfunctioning to trigger the TPMS button to stop operation and perform a check.
[0025] Sensor aging can be determined when the first offset is outside the normal defined range and is not outside the entire trend range set based on the second offset calculated from the same vehicle model.
[0026] When sensor aging is determined, the normal determination range of the vehicle whose sensor is determined to be aging can be changed based on the second offset.
[0027] According to an exemplary embodiment of the present invention, an error sensing system and error sensing method for a vehicle system can improve the performance of tire pressure determination logic by determining the aging or failure of vehicle sensors based on the vehicle's sensing values, and can propose logic design standards. Attached Figure Description
[0028] Figure 1 A schematic diagram illustrating the configuration of an error sensing system for vehicle sensors according to an exemplary embodiment of the present invention is shown.
[0029] Figure 2 A schematic diagram illustrating the configuration of a vehicle according to an exemplary embodiment of the present invention is shown.
[0030] Figure 3 A schematic diagram illustrating the configuration of a server according to an exemplary embodiment of the present invention is shown.
[0031] Figure 4 The upper neighbor value (UAV) and lower neighbor value (LAV) according to an exemplary embodiment of the present invention are shown.
[0032] Figure 5A graph is shown illustrating the change in the average sensing value acquired over a predetermined time period according to an exemplary embodiment of the present invention.
[0033] Figure 6 A graph showing the offset of the sensed value calculated according to an exemplary embodiment of the present invention is shown.
[0034] Figure 7 This illustrates a normal range for determining the sensing value based on an offset that varies due to sensor aging or malfunction, according to an exemplary embodiment of the present invention.
[0035] Figure 8 A flowchart illustrating an error sensing method for a vehicle sensor according to an exemplary embodiment of the present invention is shown.
[0036] Figure 9 The configuration of a computing system for performing a method according to an exemplary embodiment of the present invention is shown.
[0037] The reference numerals in the accompanying drawings of this invention are:
[0038] Vehicle sensor error detection system 100
[0039] Vehicle 110
[0040] Satellite 120
[0041] Base station 130
[0042] Server 140
[0043] Terminal 150 Detailed Implementation
[0044] Hereinafter, some exemplary embodiments of the present invention will be described in detail with reference to the exemplary accompanying drawings. It should be noted that when adding reference numerals to the constituent elements of each drawing, even if the same constituent element is shown in different drawings, the same constituent element will, as far as possible, have the same reference numerals. Furthermore, when describing exemplary embodiments of the present invention, detailed descriptions will be omitted when it is determined that a detailed description of a related well-known configuration or function would interfere with the understanding of the exemplary embodiments of the present invention.
[0045] In describing the constituent elements according to exemplary embodiments of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are used only to distinguish constituent elements from other constituent elements, and the nature, sequence, or order of the constituent elements is not limited by these terms. Furthermore, unless otherwise defined, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in general dictionaries should be interpreted as having a meaning matching the terminology in the relevant technical context, and should not be interpreted as having an idealized or overly formal meaning unless explicitly defined in this specification.
[0046] Figure 1 A schematic diagram illustrating the configuration of an error sensing system for vehicle sensors according to an exemplary embodiment of the present invention is shown.
[0047] like Figure 1 As shown, according to this exemplary embodiment, the error sensing system 200 for vehicle sensors may include a vehicle 110, a satellite 120, a base station 130, a server 140, and a portable terminal 150.
[0048] Vehicle 110 may include a sensor that acquires a sensed value capable of determining tire pressure. Additionally, vehicle 110 may include a communication device 112 for wireless communication with base station 130. Vehicle 110 may transmit the acquired sensed value for determining tire pressure to base station 130, and may receive sensor update information or sensor calibration information from base station 130. (See reference...) Figure 2 Provide a more detailed description of the vehicle.
[0049] Satellite 120 may include GPS satellites that transmit vehicle location signals to vehicle 110.
[0050] Base station 130 can receive vehicle identification number (VIN) and sensed values from vehicle 110, and send the received data to server 140. In addition, base station 130 can receive determination results from server 140 and send the determination results to vehicle 110.
[0051] Server 140 can analyze the data received from base station 130, determine whether the vehicle sensors are aging or malfunctioning, and send the determination results of the vehicle sensors to base station 130.
[0052] The portable terminal 150 can communicate with the vehicle 110, and when it receives a determination result from the server 140 to the vehicle 110, the portable terminal 150 can receive the determination result from the vehicle 110 to guide it to the user.
[0053] Figure 2 A schematic diagram illustrating the configuration of a vehicle according to an exemplary embodiment of the present invention is shown.
[0054] like Figure 2 As shown, vehicle 110 may include sensor 111, communication device 112, input device 113, output device 114, and controller 115.
[0055] Sensor 111 can acquire sensed values for determining the tire pressure of vehicle 110. According to an exemplary embodiment of the present invention, sensor 111 may include: a wheel speed sensor for measuring vehicle speed and an inertial measurement unit (IMU) for measuring the inertia of the vehicle. Here, the IMU sensor may include: an accelerometer for sensing motion along three axes (forward / backward, up / down, left / right) in two-dimensional space; and a gyroscope for sensing three-axis rotation of pitch, roll, and yaw.
[0056] The communication device 112 can communicate with satellite 120, base station 130, and portable terminal 150. According to an exemplary embodiment, it can receive vehicle location information from satellite 120, and can transmit vehicle sensing values to base station 130 and receive data from base station 130. Additionally, the communication device 112 can transmit data received from base station 130 to portable terminal 150 and receive user feedback from portable terminal 150. The communication device 112 can perform communication in a wired or wireless manner. When communicating in a wired manner, the communication device 112 can be connected via a USB cable, and when communicating wirelessly, the communication device 112 can perform direct Wi-Fi communication. According to an exemplary embodiment, communication can be performed using short-range wireless methods (e.g., WiBro, WiMAX, Bluetooth, RFID, IrDA, UWB, Zigbee, etc.).
[0057] Input device 113 can output electrical signals corresponding to user operations. According to an exemplary embodiment, input device 113 may include a TPMS button for storing tire pressure as normal pressure when user operation is present. The invention is not limited thereto, and input device 110 may be implemented as a knob, a touchscreen, or a touchpad.
[0058] Output device 114 can output the determination result of controller 115 as an image or sound. Therefore, output device 114 can be implemented as a display device or a sound output device. The display device can be implemented using a touchscreen panel, and according to an exemplary embodiment of the present invention, the display device can be integrated with input device 113.
[0059] The controller 115 can be implemented as a processing device (e.g., a microprocessor containing a semiconductor chip) capable of performing calculations or executing various instructions, and can control the operation of the vehicle according to an exemplary embodiment of the present invention. Specifically, the controller 115 can control the sensed values acquired from the sensor 111 and sent to the base station 130, and can output the determination result of the sensor state received from the base station 130 through the output device 114, or can send the determination result to the portable terminal 150.
[0060] Figure 3 A schematic diagram illustrating the configuration of a server according to an exemplary embodiment of the present invention is shown.
[0061] like Figure 3 As shown, server 140 may include communication device 141 and controller 142.
[0062] Communication device 141 can communicate wirelessly with base station 130. Communication device 141 can receive sensor values from the vehicle from base station 130 and can send results determined by the server to base station 130. In the case of wireless communication, communication can be performed using short-range wireless methods (e.g., WiBro, WiMAX, Bluetooth, RFID, IrDA, UWB, Zigbee, etc.).
[0063] The controller 142 can be implemented as a processing device (e.g., a microprocessor containing a semiconductor chip, etc.) capable of performing calculations or executing various instructions, and can control the operation of the server according to an exemplary embodiment of the present invention.
[0064] Controller 142 can determine whether the vehicle sending the vehicle identification number is a target vehicle applying indirect TPMS based on the vehicle identification number received from base station 130. When it is determined that the vehicle sending the vehicle identification number is a target vehicle applying indirect TPMS based on the vehicle identification number received from base station 130, controller 142 determines: the sensing values obtained immediately after starting the engine of vehicle 110 while vehicle 110 is in motion and the sensing values obtained just before turning off the engine of vehicle 110. Controller 142 can use the sensing values obtained during driving to determine whether the sensors are aging or malfunctioning. Here, the sensing values may include sensing values used to determine the tire pressure of the vehicle, and may include, for example, sensing values obtained from wheel speed sensors and IMU sensors.
[0065] According to an exemplary embodiment of the present invention, the controller 142 can determine whether a sensor is aging or malfunctioning not only by using the sensed values, but also by using the driving conditions at the time the sensed values were acquired. Here, the driving conditions may include the time at which the sensed values were acquired, road information, and weather information.
[0066] The controller 142 can perform a first filter to collect meaningful sensing values from the acquired sensing values, and can perform a second filter to exclude sensing values from the vehicle that include special information.
[0067] According to an exemplary embodiment of the present invention, controller 142 may perform a first filtering so that sensed values acquired at the same location are collected, thereby making the sensed values unaffected by road slope. As an example, controller 142 may perform the first filtering so that sensed values acquired by traveling along a route with the same start and end point are collected.
[0068] Additionally, the controller 142 can identify sensing values that have a significant impact on the trend of the sensing values as special information and perform a second filtering to exclude sensing values corresponding to the special information. According to an exemplary embodiment of the invention, the second filtering can be performed so that sensing values obtained by excluding values greater than the upper neighbor value (UAV) and less than the lower neighbor value (LAV) from the sensing values collected after the first filtering are collected. Here, reference will be made to... Figure 4 A detailed description of UAVs and LAVs.
[0069] Figure 4 The upper neighbor value (UAV) and lower neighbor value (LAV) according to an exemplary embodiment of the present invention are shown.
[0070] like Figure 4 As shown, the sensed values collected after the first filtering can have Figure 4 The distribution is shown. Q1 indicates the value corresponding to the lower 25% (from the minimum), and the median indicates the value corresponding to the 50% (from the minimum). Q3 indicates the value corresponding to the 75% (from the minimum), or it can indicate the value corresponding to the upper 25%. UAV indicates the value closest to the upper fence, and LAV indicates the value closest to the lower fence. Here, the upper fence is Q3 + 1.5 * IQR, and the lower upper fence is Q1 + 1.5 * IQR. IQR (interquartile range) is Q3 - Q1. The minimum threshold indicates the minimum value, and the maximum value indicates the maximum value. Values less than the lower fence or greater than the upper fence indicate the range of outliers.
[0071] Based on the result of the second filtering, when the sensed value is greater than UAV and less than LAV, the controller 142 can control the operation that triggers the TPMS button to stop and generate a sensor check message and send a message to the base station 130. When the sensed value, as a result of the second filtering, is between LAV and LAV, the controller 142 can calculate the offset based on the average change in the sensed value. (Refer to...) Figure 5 To describe it in more detail.
[0072] Figure 5 A graph is shown illustrating the change in the average sensing value acquired over a predetermined time period according to an exemplary embodiment of the present invention.
[0073] like Figure 5 As shown, controller 142 can determine the change in the average value of the sensed values acquired within a predetermined time period. For example, controller 142 can determine that the average value A of the lateral acceleration changes from 0.6 m / s² during the predetermined time period. 2 It becomes 0.09 m / s 2 This allows us to determine that the average longitudinal acceleration B varies from -0.03 m / s² during a predetermined time period. 2 It becomes -0.04m / s 2 Furthermore, it can be determined that the average yaw rate C obtained during the predetermined time period changes from 0.45 deg / s to 0.41 deg / s.
[0074] Controller 142 can determine whether a change in the average value of sensed values acquired during a predetermined time period is due to aging or a malfunction. To this end, controller 142 can calculate an offset based on the change in the average value of sensed values acquired during the predetermined time period. (Refer to...) Figure 6 A more detailed explanation is provided on determining sensor aging or failure based on offset.
[0075] Figure 6 A schematic graph illustrating the determination of sensor aging or failure according to an exemplary embodiment of the present invention is shown.
[0076] like Figure 6 As shown, controller 142 can determine whether a first offset calculated based on changes in sensed values obtained from any vehicle during a predetermined time period is outside a normal determination range. When it is determined that the calculated first offset is outside a normal determination range (a reference range set when transporting a vehicle), controller 142 can calculate a second offset based on changes in sensed values obtained from multiple vehicles of the same vehicle model as the arbitrary vehicle, and can determine whether the first offset is outside the entire trend range set based on the second offset.
[0077] When it is determined that the first offset (calculated based on changes in sensed values acquired from any vehicle during a predetermined time period) is outside the entire trend range and outside the normal determination range, the controller 142 determines that the sensor is in a fault state at point ①. Alternatively, when it is determined that the first offset is within the entire trend range and outside the normal determination range, the controller 142 can determine that the sensor is in an aging state at point ②. When sensor aging is determined, the controller 142 can change the normal determination state of the vehicle, where the sensor is determined to be aging based on a second offset. (See reference...) Figure 7 To describe it in more detail.
[0078] Figure 7 This illustrates a normal range for determining the sensing value based on an offset that varies due to sensor aging or malfunction, according to an exemplary embodiment of the present invention.
[0079] like Figure 7 As shown, when the normal determination range of the sensing value set in the initial logic is -0.3 m / s 2 up to 0.3m / s 2 Within this range, and the second offset (calculated based on sensing values obtained from multiple vehicles of the same vehicle model as any vehicle) is generated as +xm / s 2 At that time, controller 142 can change the normal determination range to -0.3 + x m / s 2 up to 0.3+xm / s 2 Additionally, when the second offset is generated as -xm / s 2 At that time, controller 142 can change the normal determination range to -0.3 to x m / s 2 up to 0.3-xm / s 2 When the second offset exceeds a predetermined value (e.g., acceleration exceeds 3g and yaw rate exceeds 6deg / s), the controller 142 can perform exception handling to prevent performance degradation.
[0080] When a sensor malfunction is detected, controller 142 can determine that the vehicle's sensed values are abnormal and can generate an action to prevent the vehicle's input device (TPMS button) from responding to user input (normal tire pressure input) to send this information to base station 130. Base station 130 can send the information received from server 140 to vehicle 110, and vehicle 110 can calibrate the sensor or output a message guiding inspection via output device 114.
[0081] When it is determined that the sensors applied to the target vehicle model are generally aging, the controller 142 can change the normal determination range based on the offset value and send the sensor software update information to the base station 130. Additionally, the controller 142 can generate information to prevent the vehicle's input device (TPMS) from operating in response to user input until the sensor software is updated to send that information to the base station 130.
[0082] Figure 8 A flowchart illustrating an error sensing method for a vehicle sensor according to an exemplary embodiment of the present invention is shown.
[0083] like Figure 8 As shown, vehicle 110 can acquire sensing values (S110). In step S110, the sensing values may include sensing values used to determine the tire pressure of the vehicle, and may include, for example, sensing values obtained from wheel speed sensors and IMU sensors.
[0084] Vehicle 110 can send the acquired sensing values to base station 130 (S120). In step S120, the vehicle identification number (VIN), vehicle location information, and sensing values can be sent together to base station 130. In addition, base station 130 can send the sensing values received from vehicle 110 to server 140 (S130).
[0085] Server 140 can determine whether the vehicle sending the vehicle identification number is the target vehicle applying indirect TPMS based on the vehicle identification number received from base station 130. When it is determined that the vehicle sending the vehicle identification number is the target vehicle applying indirect TPMS, server 140 determines: the sensing values obtained immediately after the engine of vehicle 110 is started and the sensing values obtained just before the engine of vehicle 110 is turned off when vehicle 110 is driving, and server 140 performs a first filtering on the sensing values obtained during driving (S140).
[0086] In step S140, server 140 may perform a first filtering process to collect meaningful sensing values to determine whether the sensor is aging or malfunctioning. According to an exemplary embodiment, server 140 may perform the first filtering process to collect sensing values obtained by traveling along a route with the same start and end point.
[0087] Additionally, server 140 performs a second filtering (S150) on the sensed values collected after the first filtering. In step S150, server 142 can identify sensed values that have a significant impact on the trend of the sensed values as special information, and can perform the second filtering so that sensed values corresponding to the special information are excluded. According to an exemplary embodiment, in step S150, server 140 can perform the second filtering to collect sensed values obtained by excluding values greater than the upper neighbor value (UAV) and less than the lower neighbor value (LAV) from the sensed values collected after the first filtering. Here, reference will be made to... Figure 4 Describe UAV and LAV.
[0088] After the second filtering, server 140 can determine whether the sensed value is greater than UAV or less than LAV (S160). When the sensed value is greater than UAV or less than LAV (yes), server 140 can control a message to stop the operation of the TPMS button and generate a sensor check message, and send this message to base station 130 (S170). Additionally, base station 130 sends the message received from server 140, which causes the TPMS button operation to stop and the sensor check to vehicle 110 (S180).
[0089] After the second filtering, when the sensed value is between LAV and LAV, server 140 can calculate the offset based on the average change of the sensed value (S190). In step S190, controller 142 can calculate the average value of the sensed values acquired during a predetermined time period, and can calculate the first offset based on the change of the average value.
[0090] Server 140 can analyze the trend of the sensed value based on the first offset (S200). In step S200, server 140 can determine whether the first offset is outside the normal determination range (the reference range set when transporting the vehicle). When it is determined that the calculated first offset is outside the normal determination range, server 140 can calculate a second offset based on the changes in sensed values obtained from multiple vehicles of the same vehicle model as the vehicle that sent the sensed value, and can determine whether the first offset is outside the entire trend range set based on the second offset.
[0091] Server 140 can determine whether the sensor is aging or malfunctioning based on the analysis results in S200 (S210). In step S210, when it is determined that the first offset (calculated based on the change in sensing values obtained from any vehicle during a predetermined time period) is outside the entire trend range and outside the normal determination range, server 140 determines that the sensor is in a malfunctioning state. Additionally, when it is determined that the first offset (calculated based on the change in sensing values obtained from any vehicle during a predetermined time period) is outside the entire trend range and outside the normal determination range, server 140 determines that the sensor is in a malfunctioning state.
[0092] When a sensor malfunction is determined in step S210, server 140 can determine that the vehicle's sensing value is abnormal and can generate information to prevent the vehicle's TPMS button from operating in response to user input (normal tire pressure input). Additionally, when a sensor is determined to be in an aging state, server 140 can determine that the sensors applied to the target vehicle model are generally aging and can generate information to change the normal measurement range based on the offset value, and send sensor software update information to base station 130.
[0093] Server 140 can send the result and response method determined in step S210 to base station 130 (S220). In step S220, when it is determined in step S210 that the sensor is in a faulty state, server 140 can determine that the vehicle's sensing value is abnormal, and can send information to base station 130 to prevent the vehicle's TPMS button from operating in response to user input (normal tire pressure input), and base station 130 can send the information received from server 140 to vehicle 110.
[0094] Additionally, in step S220, when it is determined that the sensor is in an aging state, the server 140 can determine that the sensors applied to the target vehicle model are generally aging, and can change the normal determination range according to the offset value to send the sensor software update information to the base station 130, and the base station 130 can send the information received from the server 140 to the vehicle 110.
[0095] Vehicle 110 can send information received from base station 130 to portable terminal 150 to direct the message to user, and can also direct the message to user through output device 115 set in vehicle.
[0096] Figure 9 The configuration of a computing system for performing a method according to an exemplary embodiment of the present invention is shown.
[0097] Reference Figure 9The computing system 1000 includes at least one processor 1100, memory 1300, user interface input device 1400, user interface output device 1500, storage 1600, and network interface 1700 connected via a bus 1200.
[0098] Processor 1100 may be a central processing unit (CPU) or a semiconductor device that executes instructions stored in memory 1300 and / or storage 1600. Memory 1300 and storage 1600 may include various types of volatile or non-volatile storage media. For example, memory 1300 may include read-only memory (ROM) 1310 and random access memory (RAM) 1320.
[0099] Therefore, the steps of the methods or algorithms described in conjunction with the exemplary embodiments disclosed herein can be directly implemented as hardware, software modules, or a combination of both, and executed by processor 1100. The software modules may reside in storage media (i.e., memory 1300 and / or storage 1600), such as RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disks, removable disks, and CD-ROMs. An exemplary storage medium is coupled to processor 1100, which can read information from and write information to the storage medium. Alternatively, the storage medium may be integrated with processor 1100. The processor and storage medium may reside in an application-specific integrated circuit (ASIC). The ASIC may reside in a user terminal. Alternatively, the processor and storage medium may reside as separate components in the user terminal.
[0100] The above description is merely an example of the technical concept of the present invention, and those skilled in the art can make various modifications and changes without departing from the basic characteristics of the present invention.
[0101] Therefore, the exemplary embodiments disclosed in this invention are not intended to limit the technical concept of the invention, but rather to explain them, and the scope of the technical concept of the invention is not limited by these exemplary embodiments. The scope of protection of this invention should be understood through the following claims, and all technical concepts within the equivalent scope should be understood to be included within the scope of this invention.
Claims
1. An error sensing system for vehicle sensors, the system comprising: The vehicle is configured to include sensors that acquire sensed values for determining tire pressure; as well as The server is configured to perform a first filter and a second filter on the sensed values received from the vehicle, to determine whether the sensor is aging or malfunctioning based on the second filtered sensed values, and to send the determination result to the vehicle. The server is configured as follows: The first offset is calculated based on the sensed values collected after the second filtering. The second offset is calculated based on the same vehicle model; as well as When the first offset is outside the normal defined range, the sensor is determined to be aged or malfunctioning based on the determination result, wherein the determination result is: whether the first offset is outside the entire trend range set based on the second offset.
2. The error sensing system according to claim 1, wherein: The sensed values include: a first sensed value acquired immediately after the vehicle starts and a second sensed value acquired just before the vehicle stops starting.
3. The error sensing system according to claim 1, wherein, The server is configured as follows: The first filtering is performed to collect sensing values received from the vehicle obtained by traveling on a route with the same origin and destination.
4. The error sensing system according to claim 1, wherein, The server is configured as follows: The second filtering is performed to collect sensing values obtained by excluding values greater than the upper neighbor value UAV and less than the lower neighbor value LAV from the sensing values collected after the first filtering.
5. The error sensing system according to claim 4, wherein, The server is configured as follows: The server sends a message to the vehicle to trigger the Tire Pressure Monitoring System (TPMS) button to stop operation and perform a check. The server also sends the values of the second filtered and collected sensing values that are greater than the upper neighbor value UAV and less than the lower neighbor value LAV.
6. The error sensing system according to claim 4, wherein, The server is configured as follows: The sensor is determined to be faulty when the first offset is outside the normal defined range and outside the entire trend range set based on the second offset.
7. The error sensing system according to claim 6, wherein, The server is configured as follows: When a sensor malfunction is determined, a message is sent to the vehicle where the sensor is determined to be malfunctioning to trigger the operation stop and inspection of the Tire Pressure Monitoring System (TPMS) button.
8. The error sensing system according to claim 4, wherein, The server is configured as follows: The sensor is determined to be aged when the first offset is outside the normal defined range and not outside the entire trend range set based on the second offset.
9. The error sensing system according to claim 8, wherein, The server is configured as follows: When it is determined that the sensor is aging, the normal determination range of the vehicle for which the sensor is determined to be aging is changed based on the second offset.
10. A method for error sensing of a vehicle sensor, the method comprising: Acquire the sensor readings used to determine vehicle tire pressure; The sensed values received from the vehicle are subjected to a first filter and a second filter. as well as Based on the second filtered sensing value, it is determined whether the sensor is aging or malfunctioning, and the determination result is sent to the vehicle; The method further includes: The first offset is calculated based on the sensed values collected after the second filtering. The second offset is calculated based on the same vehicle model; and When the first offset is outside the normal defined range, the sensor is determined to be aged or malfunctioning based on the determination result, wherein the determination result is: whether the first offset is outside the entire trend range set based on the second offset.
11. The error sensing method according to claim 10, wherein, The sensed values include: a first sensed value acquired immediately after the vehicle starts and a second sensed value acquired just before the vehicle stops starting.
12. The error sensing method according to claim 10, wherein, When performing the first filter and the second filter... The first filtering is performed to collect sensing values received from the vehicle obtained by traveling on a route with the same origin and destination.
13. The error sensing method according to claim 10, wherein, When performing the first filter and the second filter... The second filtering is performed to collect sensing values obtained by excluding values greater than the upper neighbor value UAV and less than the lower neighbor value LAV from the sensing values collected after the first filtering.
14. The error sensing method according to claim 13, wherein, After the second filtering, a message for triggering the Tire Pressure Monitoring System (TPMS) button operation to stop and check is sent to the vehicle, along with a value greater than the upper adjacent value UAV and less than the lower adjacent value LAV.
15. The error sensing method according to claim 13, wherein, The sensor is determined to be faulty when the first offset is outside the normal defined range and outside the entire trend range set based on the second offset.
16. The error sensing method according to claim 15, wherein, When a sensor malfunction is determined, a message is sent to the vehicle where the sensor is determined to be malfunctioning to trigger the operation stop and inspection of the Tire Pressure Monitoring System (TPMS) button.
17. The error sensing method according to claim 13, wherein, The sensor is determined to be aged when the first offset is outside the normal defined range and not outside the entire trend range set based on the second offset.
18. The error sensing method according to claim 17, wherein, When it is determined that the sensor is aging, the normal determination range of the vehicle for which the sensor is determined to be aging is changed based on the second offset.
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