A tire trend abnormality early warning method in a vehicle-mounted electronic instrument

Abstract

This application discloses a method for early warning of abnormal tire trends in vehicle electronic instruments, comprising: collecting tire state data within a preset time period, including tire pressure, temperature, and wheel speed; calculating the slope of the tire state change trend within the preset time period based on the tire state data; using the tire state data, the slope of the state change trend, and the vehicle operating conditions, outputting the tire abnormality type and a dynamic warning value; and outputting a corresponding warning command according to the magnitude of the warning value and a preset warning level value. This invention, by calculating the slope of the state change trend, achieves a shift from post-event detection to early warning, solving the problem of delayed warning response caused by relying on static thresholds, and significantly improving the timeliness, accuracy, and driving safety of warnings.

Description

Technical Field

[0001] This application relates to the field of automotive electronics technology, specifically to a method for early warning of abnormal tire trends in an in-vehicle electronic instrument panel. Background Technology

[0002] As automotive electronic architecture continues to upgrade, the onboard instrument cluster (SOC) needs to simultaneously receive and process multiple types of signal data from the vehicle network, such as CAN communication data, interface display data, user operation commands, and power status information, placing higher demands on the system's data refresh efficiency and stability. Currently, vehicles commonly use tire pressure monitoring systems (TPMS) to collect and display tire pressure in real time. When the tire pressure falls below a set threshold, an alarm is triggered via the onboard instrument cluster or central control system to remind the driver to address the abnormal situation promptly.

[0003] However, the following technical problems exist in the related technologies: First, while some existing vehicle electronic instrument systems can receive tire temperature and pressure data uploaded by the vehicle control unit (ECU) or TPMS module and display it in real time as numerical values ​​or charts, they primarily rely on static thresholds to trigger alarms and lack the ability to analyze data change trends. This results in the system being unable to identify potential risks in advance and only being able to issue passive alarms after an anomaly occurs, leading to a delayed response to sudden anomalies.

[0004] Secondly, some high-end models have introduced extended tire condition monitoring, which can determine the rate of change of tire pressure within a short time window and issue a warning when the change exceeds a set range. However, this method usually relies on fixed rules and has poor adaptability. In environments with concurrent multi-source vehicle status signals or complex operating conditions, problems such as refresh delays, display stuttering, or untimely updates of local signals are prone to occur.

[0005] Third, current tire anomaly alarm mechanisms are mostly based on single threshold judgments (such as low pressure, high temperature), lacking the ability to model and predict the long-term operating status changes of tires, and failing to consider the physical interference of vehicle driving conditions (such as turning, acceleration and deceleration, high speed) on tire data. For example, centrifugal force during turning can cause a slight physical increase in tire pressure, and friction during braking can cause a momentary increase in tire temperature. Existing technology cannot effectively filter out these interferences, resulting in low warning accuracy and high false alarm and false negative rates. Summary of the Invention

[0006] This application provides a method, device / system, equipment, and computer-readable storage medium for early warning of abnormal tire trends in vehicle electronic instruments. It addresses the shortcomings of existing technologies, which primarily rely on static threshold-triggered alarms and lack the ability to analyze data change trends. This results in the system's inability to identify potential risks in advance, only providing passive alarms after an anomaly occurs, leading to a delayed response to sudden anomalies.

[0007] In a first aspect, embodiments of this application provide a method for early warning of abnormal tire trends in an in-vehicle electronic instrument, comprising: Collect tire status data within a preset time period; the tire status data includes tire pressure, tire temperature, and wheel speed; Calculate the slope of the tire's state change trend within a preset time based on the tire state data; Using the tire status data and the slope of the status change trend, the tire anomaly type and warning value are output; then, according to the magnitude of the warning value and the preset warning level value, the corresponding warning command is output.

[0008] Preferably, calculating the slope of the tire's state change trend over a preset time period based on the tire state data specifically includes: The number of samplings within a preset time period, the time point of each sampling, the tire pressure, the average time point, and the average tire pressure are calculated based on the tire condition data. Based on Formula 1, and combined with the number of samplings within a preset time, the time point and tire pressure of each sampling, the average time point and the average tire pressure, the slope of the state change trend is calculated. Formula 1 is: ;in The slope of the trend of state change. For the time point of the i-th sampling, The tire pressure at the i-th sampling time, The average value of time points within a preset time period, This is the average tire pressure over a preset time period.

[0009] Preferably, using the tire condition data and the slope of the condition change trend, the tire anomaly type and warning value are output, specifically including: The tire pressure change rate, temperature change rate, and left and right wheel speed difference are calculated for each sampling within a preset time using tire condition data. If the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the state change trend is less than the preset slope, then the tire abnormality type is slow leak; then output the warning value according to Formula 2. If the tire pressure change rate exceeds the first preset value but is less than the second preset value in a single instance, the tire abnormality type is rapid pressure release; then, a warning value is output according to Formula 2. If the rate of temperature change exceeds the third preset value and the duration exceeds the first design time, the tire anomaly type is temperature rise anomaly; then, the warning value is output according to Formula 2. If the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or loss of pressure; then the warning value is output according to Formula 2.

[0010] Preferably, the second formula is ;in, This is a warning value. This refers to the rate of change in tire pressure. For the rate of temperature change, The slope of the trend of state change. , and This represents the weight value.

[0011] Preferably, the preset warning level values ​​include a first warning level value, a second warning level value, and a third warning level value; Based on the magnitude of the warning value and the preset warning level value, corresponding warning instructions are output, specifically including: The warning value is compared with the first warning level value, the second warning level value, and the third warning level value; If it is less than the value of the first warning level, then it is normal; If the value is less than the second warning level value but greater than the first warning level value, it is a level one warning, and the warning instruction is to output the abnormality type in text form; If the value is less than the third warning level value but greater than the second warning level value, it is a level two warning. The warning instruction is to output the abnormality type in text form and issue an audio prompt. If the value exceeds the third warning level, it will be a level three warning. The warning instruction will be to output the abnormality type in text form and issue a prompt to slow down or stop.

[0012] Preferred options also include: Collect vehicle operating condition data within a preset time period; vehicle operating condition data includes vehicle speed, vehicle lateral acceleration, vehicle longitudinal acceleration, and vehicle braking signal; The vehicle operating condition data is used to identify the real-time operating condition of the vehicle. Using the tire condition data and the slope of the condition change trend, and combined with the real-time vehicle operating conditions, the system outputs the abnormal type and warning value.

[0013] Preferably, using the vehicle operating condition data to identify the real-time operating condition of the vehicle specifically includes: If the absolute value of the vehicle's lateral acceleration is greater than the first threshold, the vehicle is in a turning condition. If the absolute value of the vehicle's longitudinal acceleration is greater than the second threshold, the vehicle is in an acceleration state. If a vehicle braking signal is received, the vehicle is in braking condition; If the vehicle speed exceeds the third threshold, the vehicle is in high-speed operation.

[0014] Preferably, the system utilizes the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, to output the anomaly type and warning value. Then, based on the magnitude of the warning value and the preset warning level value, a corresponding warning command is output, specifically including: If the vehicle is turning and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and The warning value is reduced by a first preset ratio to output a warning value, and then the preset first warning level value is increased by a second preset ratio to output a warning command. If the vehicle is turning and the tire pressure change rate occurs once, exceeding the first preset value but falling below the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is temperature rise anomaly; then Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value, and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or pressure loss type; then the tire abnormal wear or pressure loss type is ignored and no warning value is output.

[0015] Preferably, the system utilizes the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, to output the anomaly type and warning value. Then, based on the magnitude of the warning value and the preset warning level value, a corresponding warning command is output, specifically including: If, during acceleration or braking, the number of times the tire pressure change rate falls below the first preset value exceeds a preset number, the tire abnormality type is classified as slow leak; then, Formula 2... The warning value is reduced or reset to zero to output a warning value, and then a corresponding warning command is output according to the magnitude of the warning value and the preset warning level value. If, during vehicle acceleration or braking, the tire pressure change rate exceeds the first preset value but falls below the second preset value in a single instance, the tire abnormality type is rapid pressure release; then, Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If the vehicle is under acceleration or braking conditions and the rate of temperature change exceeds the fifth preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If, during acceleration or braking, the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value.

[0016] Preferably, the system utilizes the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, to output the anomaly type and warning value. Then, based on the magnitude of the warning value and the preset warning level value, a corresponding warning command is output, specifically including: If the vehicle is operating at high speed and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and Increase the preset warning level value by a first preset ratio to output a warning value, and then decrease the preset warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and a single instance of tire pressure change exceeds the first preset value but is less than the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the preset first warning level value, second warning level value and third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the first warning level value, the second warning level value, and the third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... and The warning level is increased by a first preset ratio to output a warning value, and then the first, second, and third warning level values ​​are decreased by a second preset ratio to output a warning command.

[0017] The beneficial effects of the technical solutions provided in this application include: Calculating the slope of the state change trend is crucial because tire anomalies (especially slow leaks) are a gradual process, and instantaneous data is easily misjudged due to road bumps or sensor noise. Trend analysis within a time window smooths out short-term fluctuations, capturing the true physical change trend, thus enabling a transition from threshold alarms to trend-based warnings and resolving the issue of warning lag. Furthermore, by adaptively correcting the warning logic based on real-time vehicle operating conditions, physical interference from turning, acceleration, and deceleration is effectively filtered out, addressing the technical problems of poor adaptability and high false alarm rates in related technologies. Moreover, a tiered warning output mechanism allows drivers to take timely measures based on the risk level, resolving the technical issues of limited warning information and inability to reflect the degree of risk in related technologies. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the tire trend anomaly warning method in the vehicle electronic instrument of this application. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0020] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0021] Tire condition data: refers to tire pressure, tire temperature, and wheel speed signals collected by TPMS sensors or wheel speed sensors, which are then transmitted to the vehicle control unit (VCU) via the CAN bus. State change trend slope: refers to the slope value obtained by linear regression calculation of tire pressure sampling data within a preset time using the least squares method, reflecting the long-term trend of tire pressure change.

[0022] Vehicle operating condition: refers to the current driving state of the vehicle, including turning, acceleration, braking, high speed, etc., which is determined by lateral / longitudinal acceleration, braking signal and vehicle speed.

[0023] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0024] In a first aspect, embodiments of this application provide a method for early warning of abnormal tire trends in an in-vehicle electronic instrument, comprising: Step 100: Collect tire status data within a preset time period; the tire status data includes tire pressure, tire temperature, and wheel speed; then perform cleaning, filtering, calibration, and standardization processing to meet the input requirements for trend analysis and anomaly identification; Please refer to the explanation in Table 1 below;

[0025] Table 1 Step 200: Calculate the slope of the tire's state change trend over a preset time period based on the tire state data; Step 300: Using the tire status data and the slope of the status change trend, output the tire abnormality type and warning value; then output the corresponding warning command according to the magnitude of the warning value and the preset warning level value.

[0026] The reason for limiting the data collection to a preset time period rather than instantaneous data and calculating the slope of the state change trend is that tire abnormalities (especially slow leaks) are a gradual process, and instantaneous data is easily misjudged due to road bumps or sensor noise interference. By analyzing trends within a time window, short-term fluctuations can be smoothed out, capturing the true physical change trend, thereby achieving a leap from threshold alarms to trend warnings and solving the problem of warning lag.

[0027] In this embodiment, by constructing a tire state time series and calculating the slope of the state change trend, a dynamic state change trend-driven early warning mechanism is realized. This mechanism can identify abnormal trends in advance before obvious tire failures occur, significantly improving the system's early warning timeliness and extending the driver's safe response time. It also solves the technical problem in related technologies where tire trend abnormality early warning in vehicle electronic instruments mainly relies on static instantaneous thresholds to trigger alarms, lacking the ability to analyze data change trends. This results in the system being unable to identify potential risks in advance and only being able to issue passive alarms after an anomaly occurs, leading to a delayed response to sudden anomalies.

[0028] Furthermore, in one embodiment, calculating the slope of the tire's state change trend over a preset time period based on the tire state data specifically includes: The number of samplings within a preset time period, the time point of each sampling, the tire pressure, the average time point, and the average tire pressure are calculated based on the tire condition data. Based on Formula 1, and combined with the number of samplings within a preset time, the time point and tire pressure of each sampling, the average time point and the average tire pressure, the slope of the state change trend is calculated. Formula 1 is: ;in The slope of the trend of state change. For the time point of the i-th sampling, The tire pressure at the i-th sampling time, The average value of time points within a preset time period, This is the average tire pressure over a preset time period.

[0029] This embodiment uses the least squares linear regression formula to calculate the slope because simple two-point difference calculations are easily affected by a single outlier sampling point. The least squares method, by fitting the overall distribution of all sampling points, can eliminate the influence of random noise to the greatest extent, making the calculated slope more representative of the true rate of change in tire pressure, thus ensuring the mathematical rigor and anti-interference capability of the trend judgment.

[0030] Furthermore, in one embodiment, using the tire state data and the slope of the state change trend, the tire anomaly type and warning value are output, specifically including: The tire pressure change rate, temperature change rate, and left / right wheel speed difference are calculated for each sampling within a preset time period using tire condition data; the formula for calculating the tire pressure change rate is: ; The formula for calculating the rate of temperature change is: ; The formula for calculating the speed difference between the left and right wheels is: ; If the tire pressure change rate is less than the first preset value ( The number of times the state change trend occurs is greater than the preset number of times, and the slope of the state change trend is less than the preset slope. If the tire malfunction is detected, the tire malfunction type is classified as slow leak; then, the warning value is output according to Formula 2. If the tire pressure change rate occurs once, exceeding the first preset value but falling below the second preset value (5~10), If the tire malfunctions, the tire abnormality type is rapid pressure release; then, the warning value is output according to Formula 2. If the rate of temperature change exceeds the third preset value and the duration exceeds the first design time, the tire anomaly type is temperature rise anomaly; then, the warning value is output according to Formula 2. If the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or loss of pressure; then the warning value is output according to Formula 2.

[0031] This embodiment defines different judgment conditions for different anomaly types because different faults have different physical characteristics. Slow leakage is a cumulative effect and requires multiple confirmations to prevent false alarms; rapid pressure relief is a sudden event and requires single detection to prevent missed alarms; temperature rise and wear require a sustained period of time to eliminate transient interference. This distinction ensures that the system can accurately identify the root cause of the fault, rather than issuing a general alarm.

[0032] In this embodiment, a multi-condition fusion judgment mechanism is used to solve the technical problem of single anomaly type identification in related technologies. This embodiment can characterize the tire operating status from multiple dimensions, effectively distinguishing different types such as slow air leakage, rapid pressure loss, abnormal temperature rise, and wear, significantly reducing the false judgment rate and improving the overall recognition accuracy of the system.

[0033] Furthermore, the second formula is: ;in, This is a warning value. This refers to the rate of change in tire pressure. For the rate of temperature change, The slope of the trend of state change. , and This represents the weight value.

[0034] Formula 2 is specified in this embodiment because a single indicator (such as tire pressure alone) cannot fully reflect tire health. For example, slightly low tire pressure with normal temperature may pose a completely different risk than slightly low tire pressure with a sharp increase in temperature. By assigning different weights to different indicators, multidimensional heterogeneous data can be uniformly quantified into a single risk score, facilitating standardized level determination by the system and achieving multi-source information fusion.

[0035] In this embodiment, a weighted calculation method is used to output the early warning value, which solves the technical problem of insufficient risk quantification in related technologies. Its technical effect lies in fusing multi-dimensional data into a comprehensive risk score, facilitating subsequent unified hierarchical early warning processing and improving the scalability of the early warning logic.

[0036] Furthermore, in one embodiment, the preset warning level value includes a first warning level value, a second warning level value, and a third warning level value; Based on the magnitude of the warning value and the preset warning level value, corresponding warning instructions are output, specifically including: The warning value is compared with the first warning level value, the second warning level value, and the third warning level value; If it is less than the value of the first warning level, then it is normal; If the value is less than the second warning level value but greater than the first warning level value, it is a level one warning, and the warning instruction is to output the abnormality type in text form; If the value is less than the third warning level value but greater than the second warning level value, it is a level two warning. The warning instruction is to output the abnormality type in text form and issue an audio prompt. If the value exceeds the third warning level, it will be a level three warning. The warning instruction will be to output the abnormality type in text form and issue a prompt to slow down or stop.

[0037] Please refer to the explanation in Table 2 below.

[0038] Table 2 This embodiment limits the "three-level warning" and the corresponding different interaction methods (text, sound, and mandatory prompts) because different risk levels require different levels of driver attention. Minor anomalies only require awareness (text), moderate anomalies require attention (sound), and severe anomalies require immediate action (slowing down and stopping). This tiered approach ensures that drivers receive the strongest prompts in critical moments, while avoiding excessive distraction during minor anomalies.

[0039] In this embodiment, the tiered warning output solves the technical problem in related technologies where warning information cannot reflect the degree of risk. This enables drivers to take appropriate measures in a timely manner based on the risk level (text, sound, mandatory prompts), avoiding excessive panic or underestimation, thereby improving driving safety.

[0040] Furthermore, in one embodiment, the early warning scheme further includes: Collect vehicle operating condition data within a preset time period; vehicle operating condition data includes vehicle speed, vehicle lateral acceleration, vehicle longitudinal acceleration, and vehicle braking signal; The vehicle operating condition data is used to identify the real-time operating condition of the vehicle. Using the tire condition data and the slope of the condition change trend, and combined with the real-time vehicle operating conditions, the system outputs the abnormal type and warning value.

[0041] This embodiment limits the introduction of "vehicle operating condition data" because the physical state of tires is greatly affected by driving actions. For example, braking causes tire temperature to rise, and turning causes tire pressure to rise slightly due to centrifugal force. If operating conditions are not distinguished, the system will misjudge normal physical changes as malfunctions. Limiting the output to operating conditions is to achieve context-aware intelligent warnings and eliminate environmental interference.

[0042] In this embodiment, by introducing vehicle operating condition data, the technical problem of not considering driving environment interference in related technologies is solved. A context-aware early warning mechanism is implemented, which can distinguish between actual tire faults and physical changes caused by operating conditions, thereby improving the dynamics and adaptability of the early warning.

[0043] Furthermore, in one embodiment, identifying the real-time operating condition of the vehicle using the vehicle operating condition data specifically includes: If the absolute value of the vehicle's lateral acceleration is greater than the first threshold, the vehicle is in a turning condition. If the absolute value of the vehicle's longitudinal acceleration is greater than the second threshold, the vehicle is in an acceleration state. If a vehicle braking signal is received, the vehicle is in braking condition; If the vehicle speed exceeds the third threshold, the vehicle is in high-speed operation.

[0044] This embodiment limits the use of specific sensor signals and thresholds to define the operating conditions because these signals are the parameters that most directly reflect the vehicle's dynamic state in the vehicle network. Defining specific thresholds ensures that operating condition identification is executable and deterministic, avoiding fuzzy judgments that could lead to the failure of subsequent correction logic.

[0045] In this embodiment, a clearly defined operating condition determination threshold is used to solve the technical problem of ambiguous operating condition identification in related technologies. This provides accurate scene input for subsequent adaptive correction, ensuring that the correction logic is triggered only under specific operating conditions.

[0046] Furthermore, in one embodiment, the tire state data and the slope of the state change trend are used, combined with the real-time vehicle operating conditions to output the abnormality type and warning value. Then, according to the magnitude of the warning value and the preset warning level value, a corresponding warning instruction is output, specifically including the following forms: Form 1 If the vehicle is turning and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and The warning value is reduced by a first preset ratio to output a warning value, and then the preset first warning level value is increased by a second preset ratio to output a warning command. If the vehicle is turning and the tire pressure change rate occurs once, exceeding the first preset value but falling below the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is temperature rise anomaly; then Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value, and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or pressure loss type; then the tire abnormal wear or pressure loss type is ignored and no warning value is output.

[0047] This embodiment limits the use of "reducing weight," "increasing warning level value," and even "ignoring wheel speed difference type" during turning because centrifugal force during turning physically increases the tire pressure of the outer tire (interfering with tire pressure judgment), and there is inevitably a difference in wheel speed between the inner and outer tires (interfering with wear judgment). Without this limitation, the system is highly likely to falsely report tire wear or deflation during normal turning. Reducing weight and increasing the threshold are to offset the data deviation caused by centrifugal force, and ignoring wheel speed difference is to avoid misjudging a physical phenomenon as a fault.

[0048] In this embodiment, the correction logic for turning conditions solves the technical problem in related technologies where centrifugal force during turning causes a slight increase in tire pressure and a large difference in wheel speed, leading to false alarms. It counteracts the physical interference caused by centrifugal force and tire lateral deviation, preventing the system from misjudging tire abnormalities during turning. In particular, it shields the wheel speed difference-assisted judgment, effectively reducing the false alarm rate.

[0049] Form Two Using the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, the system outputs anomaly types and warning values. Then, based on the magnitude of the warning value and a preset warning level, it outputs corresponding warning commands, specifically including: If, during acceleration or braking, the number of times the tire pressure change rate falls below the first preset value exceeds a preset number, the tire abnormality type is classified as slow leak; then, Formula 2... The warning value is reduced or reset to zero to output a warning value, and then a corresponding warning command is output according to the magnitude of the warning value and the preset warning level value. If, during vehicle acceleration or braking, the tire pressure change rate exceeds the first preset value but falls below the second preset value in a single instance, the tire abnormality type is rapid pressure release; then, Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If the vehicle is under acceleration or braking conditions and the rate of temperature change exceeds the fifth preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If, during acceleration or braking, the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value.

[0050] This embodiment limits the application of temperature weighting under acceleration / braking conditions. The reason for zeroing the temperature is that during rapid acceleration or braking, the intense friction between the tire and the ground generates instantaneous high temperatures, and load transfer causes transient fluctuations in tire pressure. These temperature rises and pressure changes are physical phenomena caused by the operating conditions, not tire malfunctions. Without a weighted zeroing temperature, the system might misinterpret normal frictional heat as an abnormal temperature rise. This limitation ensures that the warning focuses only on the tire's inherent health, rather than the transient effects of driving maneuvers.

[0051] In this embodiment, the technical problem of transient data interference caused by intense frictional heat generation and load transfer in related technologies is solved by using correction logic for acceleration / braking conditions. It filters out the instantaneous physical increase in temperature and tire pressure caused by rapid acceleration and deceleration, preventing score spikes. Simultaneously, by freezing data or resetting weights to zero, it maintains a stable trend slope, improving anti-interference capabilities.

[0052] Form 3 Using the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, the system outputs anomaly types and warning values. Then, based on the magnitude of the warning value and a preset warning level, it outputs corresponding warning commands, specifically including: If the vehicle is operating at high speed and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and Increase the preset warning level value by a first preset ratio to output a warning value, and then decrease the preset warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and a single instance of tire pressure change exceeds the first preset value but is less than the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the preset first warning level value, second warning level value and third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the first warning level value, the second warning level value, and the third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... and Increase the warning level by a first preset ratio to output a warning value, then decrease the first, second, and third warning level values ​​by a second preset ratio to output a warning command. This embodiment limits the "increased weighting" and "reduced warning level value" under high-speed conditions because the consequences of tire failure (such as a tire blowout) are far more severe at high speeds than at low speeds, leaving drivers with extremely little reaction time. Therefore, it is necessary to increase the system's sensitivity (increasing the weighting makes it easier to raise the score, and lowering the threshold makes it easier to trigger the alarm). This limitation is a strategic adjustment based on safety risk assessment, aiming to prioritize safety in high-speed scenarios, erring on the side of false alarms rather than missed alarms.

[0053] In this embodiment, a correction logic for high-speed driving conditions is used to address the technical problem of insufficient warning sensitivity despite the severe consequences of tire blowouts at high speeds in related technologies. When the vehicle speed is high, an extremely sensitive mode is entered, amplifying the warning weight and lowering the alarm threshold, even forcibly escalating the warning level to maximize driver alertness and improve high-speed driving safety.

[0054] Secondly, embodiments of this application also provide a tire trend anomaly warning device in an in-vehicle electronic instrument, comprising: The data acquisition module is used to collect tire status data within a preset time period; the tire status data includes tire pressure, tire temperature, and wheel speed. The trend calculation module is used to calculate the slope of the tire's state change trend within a preset time based on the tire state data. The warning output module is used to output the tire abnormality type and warning value using the tire status data and the slope of the status change trend; then, it outputs the corresponding warning command according to the magnitude of the warning value and the preset warning level value.

[0055] Furthermore, the tire trend anomaly warning device in the vehicle electronic instrument also includes a working condition recognition module, which is used to collect vehicle working condition data within a preset time, identify the real-time working condition of the vehicle, and perform adaptive correction in conjunction with the warning output module.

[0056] The tire trend abnormality warning device in the vehicle electronic instrument also includes a storage module for storing preset warning level values, weight values, and historical tire status data.

[0057] The functions of each module in the above-mentioned tire trend anomaly warning device in the vehicle electronic instrument correspond to the steps in the above-mentioned tire trend anomaly warning method embodiment in the vehicle electronic instrument, and their functions and implementation processes will not be described in detail here.

[0058] Thirdly, embodiments of this application provide a tire trend anomaly warning device in an in-vehicle electronic instrument. The tire trend anomaly warning device in an in-vehicle electronic instrument can be a personal computer (PC), an in-vehicle chip, a laptop computer, a server, or other devices with data processing capabilities.

[0059] In this embodiment of the application, the tire trend abnormality early warning device in the vehicle electronic instrument may include a processor, a memory, a communication interface, and a communication bus.

[0060] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0061] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the tire trend anomaly warning device in the vehicle's electronic instrument cluster, as well as interfaces used for interconnecting the tire trend anomaly warning device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0062] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0063] The processor can be a general-purpose processor, which can call the tire trend anomaly warning program stored in the memory of the vehicle electronic instrument, and execute the tire trend anomaly warning method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the tire trend anomaly warning program in the vehicle electronic instrument is called can refer to the various embodiments of the tire trend anomaly warning method in the vehicle electronic instrument of this application, and will not be repeated here.

[0064] Fourthly, embodiments of this application also provide a computer-readable storage medium.

[0065] The present application stores a tire trend anomaly warning program in an in-vehicle electronic instrument on a computer-readable storage medium, wherein when the tire trend anomaly warning program in an in-vehicle electronic instrument is executed by a processor, the steps of the tire trend anomaly warning method in an in-vehicle electronic instrument as described above are implemented.

[0066] The method implemented when the tire trend anomaly warning program in the vehicle electronic instrument is executed can be referred to in the various embodiments of the tire trend anomaly warning method in the vehicle electronic instrument of this application, and will not be repeated here.

[0067] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0068] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0069] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0070] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0071] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0073] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for early warning of abnormal tire trends in vehicle electronic instruments, characterized in that, It includes: Collect tire status data within a preset time period; The tire condition data includes tire pressure, tire temperature, and wheel speed; Calculate the slope of the tire's state change trend within a preset time based on the tire state data; Using the tire status data and the slope of the status change trend, the tire anomaly type and warning value are output; then, according to the magnitude of the warning value and the preset warning level value, the corresponding warning command is output.

2. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 1, characterized in that, Based on the tire condition data, the slope of the tire's condition change trend over a preset time period is calculated, specifically including: The number of samplings within a preset time period, the time point of each sampling, the tire pressure, the average time point, and the average tire pressure are calculated based on the tire condition data. Based on Formula 1, and combined with the number of samplings within a preset time, the time point and tire pressure of each sampling, the average time point and the average tire pressure, the slope of the state change trend is calculated. Formula 1 is: ;in The slope of the trend of state change. For the time point of the i-th sampling, The tire pressure at the i-th sampling time, The average value of time points within a preset time period, This is the average tire pressure over a preset time period.

3. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 1, characterized in that, Using the tire condition data and the slope of the condition change trend, the tire anomaly type and warning value are output, specifically including: The tire pressure change rate, temperature change rate, and left and right wheel speed difference are calculated for each sampling within a preset time using tire condition data. If the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the state change trend is less than the preset slope, then the tire abnormality type is slow leak; then output the warning value according to Formula 2. If the tire pressure change rate exceeds the first preset value but is less than the second preset value in a single instance, the tire abnormality type is rapid pressure release; then, a warning value is output according to Formula 2. If the rate of temperature change exceeds the third preset value and the duration exceeds the first design time, the tire anomaly type is temperature rise anomaly; then, the warning value is output according to Formula 2. If the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or loss of pressure; then the warning value is output according to Formula 2.

4. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 3, characterized in that: Formula 2 is... ;in, This is a warning value. This refers to the rate of change in tire pressure. For the rate of temperature change, The slope of the trend of state change. , and This represents the weight value.

5. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 4, characterized in that: The preset warning level values ​​include a first warning level value, a second warning level value, and a third warning level value; Based on the magnitude of the warning value and the preset warning level value, corresponding warning instructions are output, specifically including: The warning value is compared with the first warning level value, the second warning level value, and the third warning level value; If it is less than the value of the first warning level, then it is normal; If the value is less than the second warning level value but greater than the first warning level value, it is a level one warning, and the warning instruction is to output the abnormality type in text form; If the value is less than the third warning level value but greater than the second warning level value, it is a level two warning. The warning instruction is to output the abnormality type in text form and issue an audio prompt. If the value exceeds the third warning level, it will be a level three warning. The warning instruction will be to output the abnormality type in text form and issue a prompt to slow down or stop.

6. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 5, characterized in that, Also includes: Collect vehicle operating condition data within a preset time period; vehicle operating condition data includes vehicle speed, vehicle lateral acceleration, vehicle longitudinal acceleration, and vehicle braking signal; The vehicle operating condition data is used to identify the real-time operating condition of the vehicle. Using the tire condition data and the slope of the condition change trend, and combined with the real-time vehicle operating conditions, the system outputs the abnormal type and warning value.

7. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 6, characterized in that, Identifying the real-time operating condition of a vehicle using the aforementioned vehicle operating data specifically includes: If the absolute value of the vehicle's lateral acceleration is greater than the first threshold, the vehicle is in a turning condition. If the absolute value of the vehicle's longitudinal acceleration is greater than the second threshold, the vehicle is in an acceleration state. If a vehicle braking signal is received, the vehicle is in braking condition; If the vehicle speed exceeds the third threshold, the vehicle is in high-speed operation.

8. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 7, characterized in that, Using the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, the system outputs anomaly types and warning values. Then, based on the magnitude of the warning value and a preset warning level, it outputs corresponding warning commands, specifically including: If the vehicle is turning and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and The warning value is reduced by a first preset ratio to output a warning value, and then the preset first warning level value is increased by a second preset ratio to output a warning command. If the vehicle is turning and the tire pressure change rate occurs once, exceeding the first preset value but falling below the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is temperature rise anomaly; then Formula 2... and The warning level is reduced by a first preset ratio to output a warning value, and then increased by a second preset ratio to output a warning command. If the vehicle is turning and the absolute value of the speed difference between the left and right wheels is greater than the fourth preset value, and the duration is greater than the second design time, then the tire abnormality type is tire abnormal wear or pressure loss type; then the tire abnormal wear or pressure loss type is ignored and no warning value is output.

9. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 7, characterized in that, Using the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, the system outputs anomaly types and warning values. Then, based on the magnitude of the warning value and a preset warning level, it outputs corresponding warning commands, specifically including: If, during acceleration or braking, the number of times the tire pressure change rate falls below the first preset value exceeds a preset number, the tire abnormality type is classified as slow leak; then, Formula 2... The warning value is reduced or reset to zero to output a warning value, and then a corresponding warning command is output according to the magnitude of the warning value and the preset warning level value. If, during vehicle acceleration or braking, the tire pressure change rate exceeds the first preset value but falls below the second preset value in a single instance, the tire abnormality type is rapid pressure release; then, Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If the vehicle is under acceleration or braking conditions and the rate of temperature change exceeds the fifth preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value; If, during acceleration or braking, the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... Set to zero to output a warning value, and output corresponding warning instructions based on the magnitude of the warning value and the preset warning level value.

10. The method for early warning of abnormal tire trends in vehicle electronic instruments as described in claim 7, characterized in that, Using the tire condition data and the slope of the condition change trend, combined with the real-time vehicle operating conditions, the system outputs anomaly types and warning values. Then, based on the magnitude of the warning value and a preset warning level, it outputs corresponding warning commands, specifically including: If the vehicle is operating at high speed and the number of times the tire pressure change rate is less than the first preset value is greater than the preset number, and the slope of the change trend is less than the preset slope, then the tire abnormality type is slow leak; then Formula 2... and Increase the preset warning level value by a first preset ratio to output a warning value, and then decrease the preset warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and a single instance of tire pressure change exceeds the first preset value but is less than the second preset value, the tire abnormality type is rapid pressure release; then, Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the preset first warning level value, second warning level value and third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the temperature change rate exceeds the third preset value, and the duration exceeds the first design time, then the tire anomaly type is the temperature rise anomaly type; then Formula 2... and Increase the warning value by a first preset ratio to output a warning value, and then decrease the first warning level value, the second warning level value, and the third warning level value by a second preset ratio to output a warning command; If the vehicle is operating at high speed and the absolute value of the speed difference between the left and right wheels exceeds the fourth preset value, and the duration exceeds the second design time, then the tire abnormality type is abnormal tire wear or tire pressure loss; then Formula 2... and The warning level is increased by a first preset ratio to output a warning value, and then the first, second, and third warning level values ​​are decreased by a second preset ratio to output a warning command.

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