PTC heater dry burning fault detection method and device based on current
By constructing a calibration parameter table and detecting the dry-burning fault of the PTC heater based on current, the problem of strong temperature detection dependence in the existing technology is solved, and fast and reliable fault detection is achieved.
Patent Information
- Application Number
- CN202510989571.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-17
- Publication Date
- 2025-09-26
AI Technical Summary
In the prior art, dry-burn fault detection of PTC heaters relies too much on temperature detection, resulting in an inability to quickly and effectively detect the problem in low-temperature environments, and an inability to accurately determine dry-burn faults due to structural limitations of some products.
By constructing a calibration parameter table and conducting multiple normal operation tests of the PTC heater under different external environmental parameters, the relationship between the real-time current and the calibration current is obtained, and current-based dry-burn fault detection is achieved, including input voltage size, input voltage duty cycle and ambient temperature.
The reliability of PTC heater dry-burning fault detection is improved, the dependence on temperature detection is reduced, the risk and cost of false detection are reduced, and rapid and effective fault judgment is achieved.
Smart Images
Figure CN120703500A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of equipment detection, and in particular to a current-based PTC heater dry-burning fault detection method and device. Background Art
[0002] Traditional automotive positive temperature coefficient (PTC) heaters rely primarily on temperature detection for over-temperature protection. Temperature sensors are placed around the heater core to collect real-time temperature data. When a dry-burning fault occurs, the temperature rises rapidly. When the temperature exceeds the protection threshold, the heater stops functioning.
[0003] Existing solutions for detecting dry-boil faults have the following problems: During a dry-boil fault, the temperature takes time to rise, and in low-temperature environments, the temperature may not reach the protection threshold. Furthermore, due to structural limitations of some products, it may not be possible to install a temperature sensor in the appropriate location, making temperature detection alone ineffective for detecting dry-boil faults.
[0004] Therefore, how to detect the dry-burning failure of the PTC heater without relying on temperature detection has become a technical problem that needs to be solved urgently. Summary of the Invention
[0005] In view of this, it is necessary to provide a current-based PTC heater dry-burn fault detection method and device to solve the problem that the current PTC heater dry-burn fault detection is too dependent on temperature detection.
[0006] In order to solve the above problems, in a first aspect, the present invention provides a current-based PTC heater dry-burning fault detection method, comprising: Acquire real-time external environmental parameters of the target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table; After the target PTC heater is started, obtaining a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment; Performing dry-burn fault detection on the target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0007] In one possible implementation, performing dry-burn fault detection on the target PTC heater based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, includes: When the first real-time current is greater than the first calibration current, a dry-burn fault detection is performed on the target PTC heater based on a magnitude relationship between the second real-time current and the second calibration current; When the first real-time current is less than or equal to the first calibration current, it is determined that the target PTC heater does not have a dry-burning fault.
[0008] In one possible implementation, when the first real-time current is greater than the first calibration current, performing dry-burn fault detection on the target PTC heater based on a magnitude relationship between the second real-time current and the second calibration current includes: When the second real-time current is greater than or equal to the second calibration current, determining that the target PTC heater does not have a dry-burning fault; When the second real-time current is less than the second calibrated current, it is determined that a dry-burning fault occurs in the target PTC heater.
[0009] In one possible implementation, constructing the calibration parameter table includes: A number of normal operation tests are performed on a sample PTC heater of the same model as the target PTC heater under different input voltages, input voltage duty cycles and ambient temperatures to obtain multiple sets of test data, and a calibration parameter table is constructed based on the obtained multiple sets of test data.
[0010] In a possible implementation, constructing a calibration parameter table based on the obtained multiple sets of test data includes: Based on multiple sets of test data with the same input voltage magnitude, input voltage duty cycle and ambient temperature, the corresponding first calibration time, second calibration time, first calibration current and second calibration current are determined.
[0011] In one possible implementation, determining the corresponding first calibration time, second calibration time, first calibration current, and second calibration current based on multiple sets of test data at the same input voltage magnitude, input voltage duty cycle, and ambient temperature includes: Determine the corresponding first calibration time based on the average time when the sample PTC heater reaches the current peak after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine the corresponding second calibration time based on the average starting time when the current of the sample PTC heater remains stable after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine a corresponding first calibration current based on an average of peak currents of the sample PTC heater after startup in multiple groups of test data with the same input voltage, input voltage duty cycle, and ambient temperature; Based on the average value of the stable current after the sample PTC heater is started in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature, the corresponding second calibration current is determined.
[0012] In one possible implementation, the input voltage is greater than or equal to 350 V and less than or equal to 500 V, the input voltage duty cycle is greater than or equal to 35% and less than or equal to 100%, and the ambient temperature is greater than or equal to -20°C and less than or equal to 50°C.
[0013] On the other hand, the present invention also provides a current-based PTC heater dry-burning fault detection device, comprising: A first acquisition module is configured to acquire real-time external environmental parameters of a target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table; a second acquisition module, configured to acquire, after the target PTC heater is started, a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment; a detection module, configured to perform dry-burn fault detection on a target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0014] In a second aspect, the present invention further provides a detection device, comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the current-based PTC heater dry-burning fault detection method described in any of the above implementations.
[0015] In a third aspect, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the current-based PTC heater dry-burning fault detection method described in any of the above-mentioned implementation methods.
[0016] The beneficial effects of the present invention are as follows: the current-based PTC heater dry-burning fault detection method and device provided by the present invention construct a calibration parameter table after performing multiple normal operation tests on a sample PTC heater of the same model as the target PTC heater under different external environmental parameters, and then determine the corresponding calibration time and calibration current in the calibration parameter table according to the real-time external environmental parameters of the target PTC heater, and realize dry-burning fault detection through the relationship between the real-time current and the calibration current of the target PTC heater at the calibration time, thereby realizing current-based PTC heater dry-burning fault detection without relying on temperature detection. The present invention improves the reliability of PTC heater dry-burning fault detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 A schematic flow chart of an embodiment of a current-based PTC heater dry-burning fault detection method provided by the present invention; Figure 2 A schematic diagram of an embodiment of a resistance-temperature characteristic curve of a PTC thermistor provided by the present invention; Figure 3 A schematic flow chart of an embodiment of a PTC heater dry-burn fault detection process provided by the present invention; Figure 4A schematic structural diagram of an embodiment of a current-based PTC heater dry-burning fault detection device provided by the present invention; Figure 5 This is a schematic structural diagram of an embodiment of the detection equipment provided by the present invention. DETAILED DESCRIPTION
[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.
[0019] In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.
[0020] The terms "first," "second," and so on, used in the embodiments of the present invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, technical features designated as "first" or "second" may explicitly or implicitly include at least one such feature.
[0021] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0022] Before presenting the embodiments, the following terms are explained.
[0023] PTC Heaters: PTC heaters are automatic constant-temperature heating devices based on positive temperature coefficient thermistors (PTC ceramics). They offer high efficiency, safety, and energy-saving features, making them widely used in industries such as industry, automotive, and home appliances. The core of a PTC heater is the PTC ceramic element, whose resistance increases dramatically with increasing temperature. When powered, the PTC element heats up. When the temperature reaches the Curie temperature (typically 220-320°C), the resistance increases significantly and the current decreases, thus achieving automatic constant temperature control without the need for an additional temperature control system.
[0024] The present invention provides a current-based PTC heater dry-burning fault detection method and device, which are described below.
[0025] Figure 1 A flow chart of an embodiment of the current-based PTC heater dry-burning fault detection method provided by the present invention is shown in FIG. Figure 1 As shown in FIG, the current-based PTC heater dry-burning fault detection method includes: S101 : Acquire real-time external environmental parameters of a target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table.
[0026] Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0027] It should be noted that: when performing dry-burn fault detection on a PTC heater, since external environmental parameters have an impact on the resistance change of the PTC heater, the real-time external environmental parameters of the target PTC heater can be obtained first. The external environmental parameters may include the input voltage, input voltage duty cycle, and ambient temperature of the target PTC heater. After determining the real-time external environment of the target PTC heater, the first calibration moment, second calibration moment, first calibration current, and second calibration current corresponding to the real-time external environmental parameters can be determined in the calibration parameter table according to the real-time external environment for subsequent dry-burn fault detection. The calibration parameter table can be constructed by performing multiple normal operation tests on a sample PTC heater of the same model as the target PTC heater under different external environmental parameters. The first calibration moment is the moment when the current reaches its peak after the PTC heater is started, the second calibration moment is the starting moment when the current remains stable after the PTC heater is started, the first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0028] S102 : After the target PTC heater is started, obtaining a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment.
[0029] It should be noted that: after determining the first calibration time and the second calibration time corresponding to the real-time external environmental parameters of the target PTC heater, after the target PTC heater is started, the first real-time current of the target PTC heater at the first calibration time and the second real-time current at the second calibration time can be obtained for subsequent dry burning fault detection.
[0030] S103 : Based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, perform dry-burning fault detection on the target PTC heater.
[0031] It should be noted that after obtaining the first real-time current and the second real-time current, the target PTC heater can be subjected to dry-burning fault detection based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, thereby realizing PTC heater dry-burning fault detection that is independent of temperature detection, and improving the reliability of PTC heater dry-burning fault detection.
[0032] To sum up, the current-based PTC heater dry-burning fault detection method provided by the embodiment of the present invention constructs a calibration parameter table after performing multiple normal operation tests on a sample PTC heater of the same model as the target PTC heater under different external environmental parameters, and then determines the corresponding calibration time and calibration current in the calibration parameter table according to the real-time external environmental parameters of the target PTC heater. Dry-burning fault detection is achieved through the relationship between the real-time current and the calibration current of the target PTC heater at the calibration time, thereby realizing current-based PTC heater dry-burning fault detection without relying on temperature detection. The present invention improves the reliability of PTC heater dry-burning fault detection.
[0033] In some embodiments of the present invention, the dry-burn fault detection of the target PTC heater based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, includes: When the first real-time current is greater than the first calibration current, a dry-burn fault detection is performed on the target PTC heater based on a magnitude relationship between the second real-time current and the second calibration current; When the first real-time current is less than or equal to the first calibration current, it is determined that the target PTC heater does not have a dry-burning fault.
[0034] It should be noted that when performing dry-burn fault detection on a target PTC heater based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, the magnitude relationship between the first real-time current and the first calibration current can be determined first. When the first real-time current is greater than the first calibration current, dry-burn fault detection can be further performed on the target PTC heater based on the magnitude relationship between the second real-time current and the second calibration current. When the first real-time current is less than or equal to the first calibration current, it can be determined that the target PTC heater does not have a dry-burn fault.
[0035] In some embodiments of the present invention, when the first real-time current is greater than the first calibration current, performing dry-burn fault detection on the target PTC heater based on the magnitude relationship between the second real-time current and the second calibration current includes: When the second real-time current is greater than or equal to the second calibration current, determining that the target PTC heater does not have a dry-burning fault; When the second real-time current is less than the second calibrated current, it is determined that a dry-burning fault occurs in the target PTC heater.
[0036] It should be noted that: when the first real-time current is greater than the first calibration current, when the target PTC heater is subjected to dry-burning fault detection based on the magnitude relationship between the second real-time current and the second calibration current, if the second real-time current is greater than or equal to the second calibration current, it can be determined that the target PTC heater does not have a dry-burning fault; if the second real-time current is less than the second calibration current, it can be determined that the target PTC heater has a dry-burning fault.
[0037] In some embodiments of the present invention, constructing the calibration parameter table includes: A number of normal operation tests are performed on a sample PTC heater of the same model as the target PTC heater under different input voltages, input voltage duty cycles and ambient temperatures to obtain multiple sets of test data, and a calibration parameter table is constructed based on the obtained multiple sets of test data.
[0038] It should be noted that: when constructing the calibration parameter table, multiple normal operation tests can be performed on sample PTC heaters of the same model as the target PTC heater under different input voltage sizes, input voltage duty cycles and ambient temperatures to obtain multiple sets of test data, and then the calibration parameter table can be constructed based on the obtained multiple sets of test data.
[0039] In some embodiments of the present invention, constructing a calibration parameter table based on the obtained multiple sets of test data includes: Based on multiple sets of test data with the same input voltage magnitude, input voltage duty cycle and ambient temperature, the corresponding first calibration time, second calibration time, first calibration current and second calibration current are determined.
[0040] It should be noted that when determining the calibration parameters in the calibration parameter table, the corresponding first calibration time, second calibration time, first calibration current and second calibration current can be determined based on multiple sets of test data with the same input voltage size, input voltage duty cycle and ambient temperature.
[0041] In some embodiments of the present invention, determining the corresponding first calibration time, second calibration time, first calibration current, and second calibration current based on multiple sets of test data at the same input voltage magnitude, input voltage duty cycle, and ambient temperature includes: Determine the corresponding first calibration time based on the average time when the sample PTC heater reaches the current peak after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine the corresponding second calibration time based on the average starting time when the current of the sample PTC heater remains stable after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine a corresponding first calibration current based on an average of peak currents of the sample PTC heater after startup in multiple groups of test data with the same input voltage, input voltage duty cycle, and ambient temperature; Based on the average value of the stable current after the sample PTC heater is started in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature, the corresponding second calibration current is determined.
[0042] In some embodiments of the present invention, the input voltage is greater than or equal to 350V and less than or equal to 500V, the input voltage duty cycle is greater than or equal to 35% and less than or equal to 100%, and the ambient temperature is greater than or equal to -20°C and less than or equal to 50°C.
[0043] It should be noted that in the present invention, the external environmental parameters during testing and inspection may include an input voltage greater than or equal to 350V and less than or equal to 500V, an input voltage duty cycle greater than or equal to 35% and less than or equal to 100%, and an ambient temperature greater than or equal to -20°C and less than or equal to 50°C. These external environmental conditions are based solely on the normal operating environment of the PTC heater. When the PTC heater operates in a special environment, the external environmental conditions may also be adjusted accordingly, and the present invention does not impose specific limitations on this.
[0044] Combine Figure 2From the analysis of the resistance-temperature curve of the PTC heater and a large amount of test data, it can be seen that in normal working mode, when the PTC heater is started, based on the characteristics of the PTC thermistor itself, the current value of the PTC heater will reach the peak value at the startup moment within a certain period of time; in dry-burning mode, the time when the peak current appears in the startup phase of the PTC heater is faster than the time when the peak current appears in the startup phase under normal working mode.
[0045] By comparing a large amount of test data and combining it with the analysis of PTC thermistor characteristics, under two working conditions (normal working conditions and dry-burning conditions), we can extract a current value I1 and corresponding time T1 for judging whether the PTC heater is starting normally based on the starting current value and the time when the starting current occurs, which are used as calibration values respectively.
[0046] In normal working mode, when the PTC heater enters the stable stage, based on the characteristics of the PTC thermistor itself, the PTC heater current value will tend to a stable value after the peak moment; in dry-burning mode, since the temperature of the PTC thermistor rises faster in dry-burning mode, the resistance of the PTC thermistor increases faster, and the current value at the stable moment in dry-burning mode is smaller than the current value at the stable moment in normal working mode.
[0047] Combine Figure 3 From a technical point of view, the specific steps for detecting the dry burning fault of the PTC heater include: 1. Determine whether the actual current value at time T1 is greater than the calibrated current value I1.
[0048] 2. If yes, the PTC heater continues to enter the second step of dry burning judgment (step 4).
[0049] 3. If not, the PTC heater exits the dry-burn judgment logic and the software reports normal.
[0050] 4. Determine whether the actual current value at time T2 is greater than the calibrated current value I2.
[0051] 5. If yes, the PTC heater exits the dry-burn judgment logic and the software reports normal.
[0052] 6. If not, the software reports a PTC dry-burn fault.
[0053] The present invention enables the strategy for determining whether a PTC heater has burned dry to be independent of traditional temperature sensors, and instead makes judgments based on current. This reduces, to a certain extent, the potential risks caused by temperature sensor assembly, structure, materials, low-temperature false detection, etc., effectively controls costs, and improves the reliability of PTC heater dry-burn fault judgment.
[0054] In order to better implement the current-based PTC heater dry-burning fault detection method in the embodiment of the present invention, based on the current-based PTC heater dry-burning fault detection method, correspondingly, Figure 4 As shown, an embodiment of the present invention further provides a current-based PTC heater dry-burning fault detection device, and the current-based PTC heater dry-burning fault detection device 400 includes: The first acquisition module 401 is configured to acquire real-time external environmental parameters of a target PTC heater and determine, in a calibration parameter table, a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters; A second acquisition module 402 is configured to acquire a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment after the target PTC heater is started; A detection module 403 is configured to perform dry-burn fault detection on the target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0055] The current-based PTC heater dry-burning fault detection device 400 provided in the above embodiment can implement the technical solution described in the above current-based PTC heater dry-burning fault detection method embodiment. The specific implementation principles of the above modules or units can be found in the corresponding contents in the above current-based PTC heater dry-burning fault detection method embodiment, which will not be repeated here.
[0056] like Figure 5 As shown, the present invention also provides a detection device 500. The detection device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some of the components of the detection device 500 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.
[0057] In some embodiments, the processor 501 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 502 , such as the magnetic resonance image optimization method of the present invention.
[0058] In some embodiments, processor 501 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, multiple clouds, or any combination thereof.
[0059] In some embodiments, the memory 502 may be an internal storage unit of the detection device 500, such as a hard disk or memory of the detection device 500. In other embodiments, the memory 502 may also be an external storage device of the detection device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the detection device 500.
[0060] Furthermore, the memory 502 may include both an internal storage unit of the detection device 500 and an external storage device. The memory 502 is used to store application software for the detection device 500 and various data.
[0061] In some embodiments, display 503 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an organic light-emitting diode (OLED) touchscreen. Display 503 is used to display information on detection device 500 and to display a visual user interface. Components 501-503 of detection device 500 communicate with each other via a system bus.
[0062] In one embodiment, when the processor 501 executes the current-based PTC heater dry-burning fault detection program in the memory 502, the following steps may be implemented: Acquire real-time external environmental parameters of the target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table; After the target PTC heater is started, obtaining a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment; Performing dry-burn fault detection on the target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
[0063] It should be understood that, when the processor 501 executes the current-based PTC heater dry-burning fault detection program in the memory 502 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.
[0064] Furthermore, the embodiments of the present invention do not specifically limit the type of detection device 500 mentioned. The detection device 500 may be a portable electronic device such as a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, or laptop computer. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in other embodiments of the present invention, the detection device 500 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).
[0065] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the current-based PTC heater dry-burning fault detection method provided in the above-mentioned method embodiments.
[0066] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.
[0067] The above is a detailed introduction to the current-based PTC heater dry-burning fault detection and device provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.
Claims
1. A current-based PTC heater dry-burning fault detection method, characterized in that: include: Acquire real-time external environmental parameters of the target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table; After the target PTC heater is started, obtaining a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment; Performing dry-burn fault detection on the target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
2. The current-based PTC heater dry-burning fault detection method according to claim 1, characterized in that: The method of performing dry-burn fault detection on the target PTC heater based on the magnitude relationship between the first real-time current and the first calibration current, and the magnitude relationship between the second real-time current and the second calibration current, includes: When the first real-time current is greater than the first calibration current, a dry-burn fault detection is performed on the target PTC heater based on a magnitude relationship between the second real-time current and the second calibration current; When the first real-time current is less than or equal to the first calibration current, it is determined that the target PTC heater does not have a dry-burning fault.
3. The current-based PTC heater dry-burning fault detection method according to claim 2, characterized in that: The method of performing dry-burn fault detection on the target PTC heater based on a magnitude relationship between the second real-time current and the second calibration current when the first real-time current is greater than the first calibration current includes: When the second real-time current is greater than or equal to the second calibration current, determining that the target PTC heater does not have a dry-burning fault; When the second real-time current is less than the second calibrated current, it is determined that a dry-burning fault occurs in the target PTC heater.
4. The current-based PTC heater dry-burning fault detection method according to claim 1, characterized in that: The construction of the calibration parameter table includes: A number of normal operation tests are performed on a sample PTC heater of the same model as the target PTC heater under different input voltages, input voltage duty cycles and ambient temperatures to obtain multiple sets of test data, and a calibration parameter table is constructed based on the obtained multiple sets of test data.
5. The current-based PTC heater dry-burning fault detection method according to claim 4, characterized in that: The step of constructing a calibration parameter table based on the obtained multiple groups of test data includes: Based on multiple sets of test data with the same input voltage magnitude, input voltage duty cycle and ambient temperature, the corresponding first calibration time, second calibration time, first calibration current and second calibration current are determined.
6. The current-based PTC heater dry-burning fault detection method according to claim 5, characterized in that: The method of determining the corresponding first calibration time, second calibration time, first calibration current, and second calibration current based on multiple sets of test data at the same input voltage, input voltage duty cycle, and ambient temperature includes: Determine the corresponding first calibration time based on the average time when the sample PTC heater reaches the current peak after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine the corresponding second calibration time based on the average starting time when the current of the sample PTC heater remains stable after startup in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature; Determine a corresponding first calibration current based on an average of peak currents of the sample PTC heater after startup in multiple groups of test data with the same input voltage, input voltage duty cycle, and ambient temperature; Based on the average value of the stable current after the sample PTC heater is started in multiple groups of test data with the same input voltage, input voltage duty cycle and ambient temperature, the corresponding second calibration current is determined.
7. The current-based PTC heater dry-burning fault detection method according to claim 4, characterized in that: The input voltage is greater than or equal to 350 V and less than or equal to 500 V, the input voltage duty cycle is greater than or equal to 35% and less than or equal to 100%, and the ambient temperature is greater than or equal to -20°C and less than or equal to 50°C.
8. A current-based PTC heater dry-burning fault detection device, characterized in that: include: A first acquisition module is configured to acquire real-time external environmental parameters of a target PTC heater, and determine a first calibration time, a second calibration time, a first calibration current, and a second calibration current corresponding to the real-time external environmental parameters in a calibration parameter table; a second acquisition module, configured to acquire, after the target PTC heater is started, a first real-time current of the target PTC heater at a first calibration moment and a second real-time current of the target PTC heater at a second calibration moment; a detection module, configured to perform dry-burn fault detection on a target PTC heater based on a magnitude relationship between the first real-time current and the first calibration current, and a magnitude relationship between the second real-time current and the second calibration current; Among them, the calibration parameter table is constructed after multiple normal operation tests are carried out on sample PTC heaters of the same model as the target PTC heater under different external environmental parameters. The external environmental parameters include input voltage size, input voltage duty cycle and ambient temperature. The first calibration moment is the moment when the current peak is reached after the PTC heater is started, and the second calibration moment is the starting moment when the current remains stable after the PTC heater is started. The first calibration current is the peak current after the PTC heater is started, and the second calibration current is the stable current after the PTC heater is started.
9. A detection device, characterized in that: comprising a memory and a processor, wherein, The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the current-based PTC heater dry-burning fault detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the current-based PTC heater dry-burning fault detection method as described in any one of claims 1 to 7.