A TPMS tire pressure real-time monitoring method and system for tire burst detection

Abstract

The application discloses a TPMS tire pressure real-time monitoring method and system for tire burst detection, and belongs to the technical field of automobile tire pressure monitoring systems. The scheme can prolong battery endurance while improving tire pressure monitoring response speed. After a TPMS chip enters a low-power sleep mode, a hardware RTM module is used to collect pressure relative change amounts at a fixed period, and the pressure relative change amounts are compared with a preset pressure relative threshold interval; no application program code is executed in the whole comparison and monitoring process, when the pressure relative change amount exceeds the relative threshold interval, the chip is directly triggered to wake up by hardware detection logic to identify a tire burst or rapid air leakage event; when the pressure relative change amount is within the relative threshold interval, the chip immediately returns to the low-power mode. The application realizes real-time monitoring of tire pressure states under the premise of not increasing power consumption through autonomous hardware pressure relative change amount monitoring, can quickly identify tire burst and other sudden tire pressure change events, and effectively prolongs the service life of a battery.

Description

Technical Field

[0001] This invention relates to the field of tire pressure monitoring system (TPMS) technology, specifically to a real-time tire pressure monitoring method and system for tire blowout detection using TPMS. Background Technology

[0002] Tire Pressure Monitoring System (TPMS) is a critical component for ensuring vehicle driving safety, especially in real-time monitoring of sudden tire pressure anomalies such as rapid leaks and blowouts, which directly affects braking stability and high-speed driving safety. Traditional TPMS typically employs a periodic wake-up mechanism, with the CPU controlling the sampling, judgment, and reporting process. This only enables intermittent tire pressure monitoring. Improving real-time performance requires increasing the wake-up frequency, which significantly increases system power consumption. This contradicts the design requirement of tire pressure sensors for long-term low-power standby, making it difficult to balance the real-time monitoring of sudden anomalies with the low-power endurance requirement.

[0003] Existing technologies for TPMS pressure monitoring generally suffer from the following technical pain points:

[0004] 1) Conventional TPMS sampling intervals are long, and the monitoring logic relies on the CPU. Existing technologies use CPU-controlled periodic wake-ups for sampling and judgment, which cannot capture sudden pressure changes such as rapid leaks and tire blowouts in real time, resulting in monitoring lag. Increasing the sampling frequency to improve real-time performance would lead to a sharp increase in power consumption and significantly shorten battery life. At the same time, the entire monitoring process relies on the CPU to execute application code, and each wake-up requires starting the kernel to run the program, resulting in high system overhead.

[0005] 2) Low-power sleep mode has monitoring blind spots. In existing technologies, the system cannot continuously monitor stress in low-power mode and can only be woken up periodically, resulting in a significant gap in security monitoring. Summary of the Invention

[0006] To address the aforementioned problems, the objective of this invention is to propose a TPMS (Tire Pressure Monitoring System) real-time tire pressure monitoring method and system for tire blowout detection. This system autonomously monitors the relative pressure changes of the TPMS tire pressure through RTM (Real-time Monitoring) hardware while the CPU is in a power-off sleep state. This achieves real-time tire pressure monitoring without increasing power consumption and can quickly identify events such as tire blowouts caused by sudden changes in tire pressure. This is achieved through the following technical solution:

[0007] A TPMS real-time tire pressure monitoring method for tire blowout detection, comprising the following steps:

[0008] Step S1: Configure the hardware parameters of the RTM module; the hardware parameter configuration includes the sampling period, the relative pressure change threshold C1, and the number of hardware filters N, where N is a positive integer not less than 3;

[0009] Step S2: The chip enters low-power mode and performs tire pressure sampling according to the sampling period to obtain real-time pressure sampling value and reference pressure value; at the same time, it detects whether other wake-up sources are received.

[0010] Step S3: Perform mean filtering and noise reduction and temperature compensation on the real-time pressure sampling value to obtain the current effective pressure value and calculate the relative change with the reference pressure value;

[0011] Step S4: Determine whether the tire pressure is abnormal based on the relative change; if it is within the range of [-C1, C1], the chip immediately returns to step S2 to start the next sampling cycle and updates the reference pressure value; if it exceeds the range of [-C1, C1], it is determined to be an abnormal tire pressure or a rapid air leakage event, and step S5 is executed;

[0012] Step S5: Wake up the system CPU and report the abnormal tire pressure or rapid air leakage event as abnormal information to the vehicle terminal.

[0013] Optionally, after the chip enters low-power mode, the CPU stops running and maintains autonomous operation only through the RTM hardware module.

[0014] Optionally, the process for obtaining the reference pressure value includes determining the reference pressure value by taking the average value of N consecutive hardware samples when entering the low power mode for the first time; in subsequent cycles, the reference pressure value is updated according to step S4.

[0015] Optionally, obtaining the current effective pressure value in step S3 includes: accumulating and averaging N consecutive real-time pressure sampling values ​​using a hardware mean filtering circuit to obtain a mean-filtered pressure value; acquiring temperature in real time using a temperature sensor and generating a temperature compensation coefficient based on a temperature calibration circuit; and multiplying the mean-filtered pressure value and the temperature compensation coefficient using a hardware multiplier to obtain the current effective pressure value.

[0016] Optionally, step S4 determines whether the tire pressure is abnormal based on the relative change in pressure, including: comparing the relative change in pressure with the relative change in pressure threshold C1 configured in step S1 using a hardware comparator.

[0017] Optionally, step S5, which involves waking up the system and reporting the abnormal information to the vehicle terminal, includes: triggering the system to wake up the CPU through hardware logic, writing the wake-up source identifier into the status latch, and having the CPU confirm the wake-up source before reporting the abnormal information to the vehicle terminal.

[0018] Optionally, when detecting whether other wake-up sources are received in S2, the chip does not interrupt the current RTM measurement task, but responds to other wake-up sources to execute tasks after the complete RTM process is completed; other wake-up sources include low-frequency wake-up and timed wake-up events.

[0019] In addition, a TPMS real-time tire pressure monitoring system for tire blowout detection is proposed to implement the above method, including:

[0020] Hardware timing sampling module: used to trigger tire pressure sampling through a hardware timer, convert tire pressure into a digital signal and output it to the RTM hardware domain;

[0021] CPU domain: Includes a low-power control module and a wake-up scheduling module. The low-power control module is used to maintain power supply to the RTM hardware domain; the wake-up scheduling module is used to manage the priority of multiple wake-up events.

[0022] RTM Hardware Domain: Used for independent and autonomous operation in low-power mode, with built-in hardware circuitry; the hardware circuitry is used to perform mean filtering and temperature compensation, calculate the relative pressure change and compare it with a preset threshold, and finally output a tire blowout abnormality signal.

[0023] Optionally, the CPU domain manages the priority of multiple wake-up events, including: unmasked wake-up events other than RTM measurements have high processing priority; when a high-priority wake-up event is triggered, the high-priority wake-up task is responded to after the current RTM measurement task has been fully executed.

[0024] The beneficial effects of this invention compared to the prior art are:

[0025] 1) Optimized real-time tire pressure anomaly detection: Employing a hardware-autonomous RTM real-time monitoring mechanism, it achieves millisecond-level response to monitor sudden tire pressure changes such as air leaks and blowouts. Combined with a low-power mode for uninterrupted monitoring, it reduces the monitoring blind spots of traditional TPMS and provides driving safety warnings.

[0026] 2) Reduce system power consumption and CPU load: The pressure sampling, threshold comparison and anomaly judgment processes are all completed independently by hardware, without the need for the CPU to execute application code, reducing the occupation of CPU computing resources and not affecting the operation of other chip functions; power consumption is controlled while maintaining real-time performance, thus extending the battery life of the TPMS sensor.

[0027] 3) Improve monitoring accuracy and anti-interference capability: By using hardware-built mean filtering and temperature compensation logic, the influence of environmental interference and sampling noise is reduced, the probability of false tire pressure alarms and false wake-ups is reduced, the accuracy and stability of the relative pressure change detection are maintained, and the tire blowout detection needs under complex driving conditions are met.

[0028] 4) Improved system reliability and compatibility: A multi-wake-up event priority scheduling mechanism is set up so that high-priority wake-up events do not interrupt the ongoing RTM measurement task, ensuring complete and reliable pressure data acquisition; at the same time, it supports wide-range timer configuration and low-power mode adaptation, which can flexibly meet the TPMS application requirements of different vehicle models and different scenarios, making the system more adaptable. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating the implementation of a TPMS real-time tire pressure monitoring method for tire blowout detection.

[0030] Figure 2 A flowchart of RTM hardware autonomous monitoring and wake-up source detection in low-power mode for a TPMS tire pressure real-time monitoring method for tire blowout detection;

[0031] Figure 3 A flowchart illustrating the mean filtering and temperature compensation calculation of the current effective pressure value in a TPMS real-time tire pressure monitoring method for tire blowout detection;

[0032] Figure 4 This is an overall architecture diagram of a TPMS (Tire Pressure Monitoring System) for tire blowout detection. Detailed Implementation

[0033] The technical solutions in the embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0034] like Figure 1 The diagram shown is a flowchart of the TPMS (Tire Pressure Monitoring System) real-time monitoring method for tire blowout detection, illustrating the complete implementation steps. The following describes each step:

[0035] Step S1: Initialize the RTM module and configure the hardware parameters. The hardware parameters include the sampling period, the relative pressure change threshold C1, and the number of hardware filters N (N is a positive integer not less than 3). The hardware involved in the RTM module includes: a reference pressure register for latching and updating the reference tire pressure, a hardware mean filter circuit composed of an adder and a divider, a hardware multiply-accumulate circuit for compensating for temperature drift, a hardware threshold comparator for performing numerical comparison, and a state latch for latching wake-up source information.

[0036] Step S2: The chip enters low-power mode and performs tire pressure sampling according to the sampling period through a hardware timer to obtain the real-time pressure sampling value and the reference pressure value; at the same time, it detects whether other wake-up sources are received.

[0037] Specifically, such as Figure 2As shown, after the system enters low-power mode, the RTM module is enabled. The RTM module then enters the measurement phase, using its built-in hardware circuitry to automatically perform periodic acquisition of tire pressure and temperature data according to the sampling period, in order to obtain the current real-time pressure and temperature values. At this time, the CPU stops running, and only the RTM hardware module maintains an autonomous operating state.

[0038] During the measurement process, the hardware circuit continuously samples N times, and the average value of the N real-time pressure samples is taken to determine the reference pressure value. This is used in subsequent steps to calculate the relative change in pressure in order to determine whether there are abnormal and rapid fluctuations in tire pressure.

[0039] During the measurement process, the chip detects whether other wake-up sources (including low-frequency wake-up and timed wake-up events) are received. If other wake-up sources are received, the chip does not interrupt the current RTM measurement task. It responds to other wake-up sources and executes tasks only after the complete RTM process is finished. If no other wake-up sources are received, the RTM measurement continues. Only when the relative pressure change exceeds the threshold range or other unmasked wake-up sources are received will the hardware logic latch the corresponding wake-up source identifier to the status latch and send a wake-up interrupt signal to the CPU. After the measurement is completed, if there are no other unmasked wake-up events, the chip continues to maintain low-power mode and does not send interrupt signals.

[0040] Step S3: Perform mean filtering and noise reduction and temperature compensation on the real-time pressure sample values ​​to obtain the current effective pressure value. Calculate its relationship with the reference pressure value. relative change ; Specific steps are as follows Figure 3 As shown, it includes the following sub-steps:

[0041] Step S301: After entering the measurement stage, the hardware mean-filtering circuit accumulates and averages N consecutive real-time pressure samples to obtain the mean-filtered pressure value. This mean-filtered pressure value characterizes the dynamic tire pressure status of the current cycle. By using the hardware mean-filtering circuit to process the pressure value, the influence of environmental interference and sampling noise can be reduced, decreasing the probability of false tire pressure alarms and false wake-ups, thus meeting the tire blowout detection requirements under complex driving conditions. It should be noted that the hardware mean-filtering circuit is composed of a combination of adders and dividers.

[0042] Step S302: The temperature is collected in real time by a temperature sensor, and a temperature compensation coefficient is generated based on the temperature calibration circuit. Specifically, the raw analog temperature data collected by the temperature sensor is digitized by an analog-to-digital converter to output the raw digital temperature value X. The temperature calibration circuit retrieves the first calibration constant α and the second calibration constant β preset in the register, and executes the temperature calculation equation through the first hardware multiply-accumulate circuit to calculate the current calibrated real-time temperature T. The calculation method of T is as follows:

[0043]

[0044] Next, the first temperature compensation coefficient preset in the register is retrieved. With the second temperature compensation coefficient The calibrated real-time temperature T is input into the second hardware multiply-accumulate circuit to execute the temperature compensation coefficient generation equation, and the temperature compensation coefficient used for dynamic pressure calibration is calculated. . The calculation method is as follows:

[0045]

[0046] Step S303: Multiply the mean-filtered pressure value with the temperature compensation coefficient using a hardware multiplier to obtain the current effective pressure value. Specifically, the mean-filtered pressure value output from step S301 is received. Temperature compensation coefficient output in step S302 Through a hardware multiplier and The product operation is performed to cancel out the pressure value sampling error caused by temperature drift at the digital circuit level, and the calibrated current effective pressure value is output. When a hardware multiplier performs a product operation, the specific hardware mathematical calculation formula fixed at the digital circuit level is as follows: .

[0047] Step S304: Calculate the current effective pressure value Compared with the reference pressure value relative change The specific formula is as follows:

[0048]

[0049] Step S4: Based on the relative change in pressure Determine if the tire pressure is abnormal; if it is within the normal range (i.e., meets the requirements) If the chip immediately returns to step S2 to start the next sampling cycle and updates the reference pressure value, if it exceeds the threshold range, it is determined to be an abnormal tire pressure or a rapid air leakage event, and step S5 is executed.

[0050] Specifically, the relative change in pressure calculated in step S304 The input is fed into a hardware threshold comparator and compared with the preset pressure relative change threshold C1 in step S1; if the pressure relative change... The value did not exceed the relative pressure change threshold C1 (i.e. If the tire pressure is within the normal range, the circuit will then use its internal latching control logic to retrieve the current effective pressure value calculated in the current cycle. Rolling updates and overwriting of the new baseline pressure value The chip then immediately returns to the corresponding low-power mode in step S2 to continue performing hardware autonomous monitoring for the next sampling cycle.

[0051] If the relative change in pressure The value exceeds the relative pressure change threshold C1 (i.e. or If the pressure is abnormal or there is a rapid air leak, it is determined to be a tire pressure abnormality or rapid air leak event. At this time, the hardware threshold comparator immediately triggers the hardware logic to set the pressure abnormality wake-up source status flag in the status latch and sends a wake-up interrupt signal to the CPU, so that the system enters the interrupt handling stage and executes step S5.

[0052] Step S5: Wake up the system CPU and report the exception information to the vehicle terminal. Specifically, such as... Figure 4 As shown, the system wakes up the CPU through hardware logic and writes the wake-up source identifier into the status latch. After the CPU confirms the wake-up source, it sends the abnormal information to the vehicle terminal.

[0053] Upon receiving a wake-up interrupt signal, the CPU switches the system from low-power mode to full-speed operation and prioritizes executing the corresponding interrupt service routine. Within the interrupt service routine, the CPU reads the pressure anomaly wake-up source status flag from the status latch, identifies the wake-up source, and then clears all wake-up flags in the latch.

[0054] If the wake-up source is abnormal tire pressure, the abnormal information wireless reporting mechanism is activated: the CPU extracts information including the current valid pressure value. The system collects a combination of real-time temperature values ​​and abnormal pressure status codes, encapsulates this data into anomaly information, and transmits it to the vehicle terminal via a radio frequency wireless transmission link. This enables millisecond-level real-time online early warning for sudden tire pressure anomalies and completes the monitoring process. If the CPU confirms that the wake-up source is a low-frequency wake-up, timed wake-up, battery undervoltage, chip overheating, or other wake-up events, it will jump to execute the regular system task corresponding to the event.

[0055] In addition, a TPMS (Tire Pressure Monitoring System) for tire blowout detection is proposed to implement the above method. Its specific architecture is as follows: Figure 4 As shown, it includes a hardware timing sampling module, an RTM hardware domain, and a CPU domain. These three components interact via hardwired connections, forming a distributed chip-level topology architecture where hardware independently monitors the system in low-power conditions and triggers system wake-up in abnormal conditions. The following sections describe each component.

[0056] Hardware timing sampling module: used to trigger tire pressure and tire temperature sampling through a hardware timer, convert the sampled tire pressure and tire temperature signals from analog to digital to form real-time pressure and temperature values, and output them to the RTM hardware domain.

[0057] RTM hardware domain: Physically connected to the hardware timing sampling module and the CPU domain, used for independent and autonomous operation when the chip is in low-power mode; the RTM hardware domain is configured with hardware circuits, including interconnected hardware mean filter circuits, temperature calibration circuits, hardware multipliers and hardware threshold comparators.

[0058] The hardware mean filtering circuit consists of an adder and a divider, which is used to accumulate and average the real-time pressure sampling values ​​N times consecutively to obtain the mean-filtered pressure value.

[0059] The temperature calibration circuit is used to generate a corresponding temperature compensation coefficient based on the real-time temperature value.

[0060] The hardware multiplier is used to multiply the mean-filtered pressure value with the temperature compensation coefficient and output the current effective pressure value.

[0061] The hardware threshold comparator is used to calculate the relative pressure change between the current effective pressure value and the reference pressure value, and compares the relative pressure change with the preset relative pressure change threshold C1. When the relative pressure change exceeds the relative pressure change threshold C1, a tire blowout abnormal signal is output and the pressure abnormality wake-up source status flag in the status latch is set.

[0062] The CPU domain includes a low-power control module and a wake-up scheduling module. The low-power control module shuts down the CPU domain power supply and maintains independent power supply to the RTM hardware domain when the chip enters low-power mode. The wake-up scheduling module manages the priority of multiple wake-up events. When it receives a wake-up interrupt signal triggered by a tire blowout anomaly, it triggers the CPU domain to resume operation, allowing the CPU domain to read and clear the pressure anomaly wake-up source status flag in the status latch.

[0063] It should be noted that the multiple wake-up event priority refers to the fact that unmasked wake-up events other than RTM measurements have high processing priority; when a high-priority wake-up event is triggered, the wake-up scheduling module controls the system to respond to the high-priority wake-up task after the current RTM measurement task has been fully executed.

[0064] In summary, this invention proposes a real-time tire pressure monitoring method and system for tire blowout detection using a TPMS (Tire Pressure Monitoring System). After the TPMS chip enters low-power sleep mode, a hardware module collects the relative pressure change at fixed intervals and compares it with a preset relative pressure threshold range. No application code is executed during the entire comparison and monitoring process. When the relative pressure change exceeds the relative threshold range, the hardware detection logic directly triggers the chip to wake up, identifying tire blowout or rapid air leakage events. When the relative pressure change is within the relative threshold range, the chip immediately returns to low-power mode. This invention achieves real-time tire pressure monitoring without increasing power consumption through hardware-autonomous relative pressure change monitoring. It can quickly identify rapid tire pressure changes such as tire blowouts, effectively extending battery life and demonstrating significant technological advancements.

[0065] The above embodiments are merely illustrative of the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solutions based on the technical concept proposed in this invention shall fall within the scope of protection of this invention.

Claims

1. A TPMS real-time tire pressure monitoring method for tire blowout detection, characterized in that, include: Step S1: Configure the hardware parameters of the RTM module; the hardware parameter configuration includes the sampling period, the relative pressure change threshold C1, and the number of hardware filters N, where N is a positive integer not less than 3; Step S2: The chip enters low-power mode and performs tire pressure sampling according to the sampling period to obtain real-time pressure sampling value and reference pressure value; at the same time, it detects whether other wake-up sources are received. Step S3: Perform mean filtering and noise reduction and temperature compensation on the real-time pressure sampling value to obtain the current effective pressure value and calculate the relative change with the reference pressure value; Step S4: Determine whether the tire pressure is abnormal based on the relative change; if it is within the range of [-C1, C1], the chip immediately returns to step S2 to start the next sampling cycle and update the reference pressure value; if it exceeds the range of [-C1, C1], it is determined to be an abnormal tire pressure or a rapid air leakage event, and step S5 is executed; Step S5: Wake up the system CPU and report the abnormal tire pressure or rapid air leakage event as abnormal information to the vehicle terminal.

2. The TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, After the chip enters low-power mode, the CPU stops running and maintains autonomous operation only through the RTM hardware module.

3. The TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, Obtaining the baseline stress value includes: when entering low power mode for the first time, the baseline stress value is determined by taking the average value of N consecutive hardware samples; in subsequent cycles, the baseline stress value is updated according to step S4.

4. The TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, Step S3 involves obtaining the current effective pressure value, which includes: accumulating and averaging N consecutive real-time pressure values ​​to obtain a mean-filtered pressure value; simultaneously acquiring real-time temperature and calculating a temperature compensation coefficient; and calculating the current effective pressure value based on the mean-filtered pressure value and the temperature compensation coefficient.

5. A TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, Step S4 determines whether the tire pressure is abnormal based on the relative change in pressure, including: comparing the relative change in pressure with the relative change in pressure threshold C1 configured in step S1 using a hardware threshold comparator.

6. The TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, Step S5 involves waking up the system and reporting the abnormal information to the vehicle terminal, including: triggering the system to wake up the CPU through hardware logic, writing the wake-up source identifier into the status latch, and the CPU confirming the wake-up source and then reporting the abnormal information to the vehicle terminal.

7. The TPMS real-time tire pressure monitoring method for tire blowout detection according to claim 1, characterized in that, S2 detects whether other wake-up sources are received, including: the chip does not interrupt the current RTM measurement task, and responds to other wake-up sources to execute tasks after the complete RTM process is completed; other wake-up sources include low-frequency wake-up and timed wake-up events.

8. A TPMS (Tire Pressure Monitoring System) for detecting tire blowouts, used to implement the method of any one of claims 1 to 7, characterized in that, include: Hardware timing sampling module: Triggers tire pressure and tire temperature sampling through a hardware timer, converts the tire pressure and tire temperature signals into digital signals and outputs them to the RTM hardware domain; RTM hardware domain: Used for independent and autonomous operation in low-power mode, with built-in hardware circuitry; The hardware circuit is used to perform mean filtering and temperature compensation. It calculates the relative change in pressure and compares it with a preset threshold, and finally outputs a tire blowout abnormal signal. CPU domain: Includes a low-power control module and a wake-up scheduling module. The low-power control module is used to maintain power supply to the RTM hardware domain; the wake-up scheduling module is used to manage the priority of multiple wake-up events.

9. A TPMS real-time tire pressure monitoring system for tire blowout detection according to claim 8, characterized in that, CPU domain management prioritizes multiple wake-up events, including: unmasked wake-up events other than RTM measurements have high processing priority; when a high-priority wake-up event is triggered, the high-priority wake-up task is responded to after the current RTM measurement task has been fully executed.

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