Self-adaptive temperature adjusting system for power electronic device

Abstract

The invention discloses a self-adaptive temperature adjusting system for a power electronic device, and relates to the field of temperature adjustment. The system comprises a target power electronic circuit acquisition module for acquiring a target power electronic circuit; the predetermined characteristic index reading module is used for obtaining characteristics; the predicted operation temperature obtaining module is used for obtaining a first predicted operation temperature; the target feedback coefficient obtaining module obtains a target feedback coefficient; the temperature correction module is used for correcting the temperature; the temperature adjusting device group activating module is used for activating the temperature adjusting device group; and the temperature adjusting module is used for adjusting the temperature. The technical problem that in the prior art, a temperature control effect is poor due to the fact that a temperature adjusting system lacks intelligent and self-adaptive capacity and cannot adjust a temperature set value in real time according to the actual working condition of the power electronic device is solved, and the temperature control effect is improved by automatically detecting and adjusting the temperature of the power electronic device. The temperature set value is adjusted in real time according to the actual working condition of the device, and the technical effect of accurate temperature control is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of temperature regulation, and in particular to an adaptive temperature regulation system for power electronic devices. Background Art

[0002] With the rapid development of integrated circuit technology, the size of power electronic devices and products has gradually decreased, and the integration has increased, which has led to a significant increase in the heat flux density around the device. Taking the computer CPU as an example, the heat flux density generated during its operation has reached 60-100W / cm², and even reached 10³W / cm² in semiconductor lasers. At the same time, the reliability of power electronic devices is very sensitive to temperature. When the device temperature increases by 1°C above 70-80°C, the reliability will decrease by 5%. Therefore, efficient temperature control is crucial to ensure the stability and reliability of power electronic devices.

[0003] In summary, the temperature control system in the prior art lacks intelligence and self-adaptation capabilities and is unable to adjust the temperature setting value in real time according to the actual working conditions of the power electronic devices, resulting in a technical problem of poor temperature control effect. Summary of the invention

[0004] Based on this, it is necessary to provide an adaptive temperature control system for power electronic devices in response to the above-mentioned technical problems, which can solve the technical problems that the temperature control system in the prior art lacks intelligence and adaptability, and cannot adjust the temperature setting value in real time according to the actual working conditions of the power electronic devices, resulting in poor temperature control effect. By automatically detecting and adjusting the temperature of the power electronic devices, the temperature setting value is adjusted in real time according to the actual working conditions of the devices, thereby achieving the technical effect of precise temperature control.

[0005] In a first aspect, an adaptive temperature regulation system for power electronic devices is provided, comprising: a target power electronic circuit acquisition module, the target power electronic circuit acquisition module is used to acquire a target power electronic circuit, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor; a predetermined characteristic index reading module, the predetermined characteristic index reading module is used to read a predetermined characteristic index, and based on the predetermined characteristic index, perform characteristic acquisition on a first power electronic device among the plurality of power electronic devices to obtain first characteristic information; a predicted operating temperature acquisition module, the predicted operating temperature acquisition module is used to input the first characteristic information into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device. degree; a target feedback coefficient acquisition module, the target feedback coefficient acquisition module is used to introduce a capacitor operation influence analysis function to analyze the target multi-dimensional operation characteristics of the target capacitor to obtain a target feedback coefficient; a temperature correction module, the temperature correction module is used to correct the first predicted operation temperature in combination with the target feedback coefficient to obtain a first target operation temperature; a temperature regulation device group activation module, the temperature regulation device group activation module is used to activate the temperature regulation device group when the first target operation temperature does not meet the power electronic device operation temperature limit; a temperature regulation module, the temperature regulation module is used to temperature regulate the first power electronic device in the target power electronic circuit through the temperature regulation device group.

[0006] In a second aspect, an adaptive temperature regulation method for power electronic devices is provided, comprising: obtaining a target power electronic circuit, wherein the target power electronic circuit comprises a plurality of power electronic devices and a target capacitor; reading a predetermined characteristic index, and collecting characteristics of a first power electronic device among the plurality of power electronic devices based on the predetermined characteristic index to obtain first characteristic information; inputting the first characteristic information into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device; introducing a capacitor operating influence analysis function to analyze the target multi-dimensional operating characteristics of the target capacitor to obtain a target feedback coefficient; correcting the first predicted operating temperature in combination with the target feedback coefficient to obtain a first target operating temperature; activating a temperature regulation device group when the first target operating temperature does not meet the operating temperature limit of the power electronic device; and regulating the temperature of the first power electronic device in the target power electronic circuit through the temperature regulation device group.

[0007] The above-mentioned adaptive temperature control system for power electronic devices solves the technical problem that the temperature control system in the prior art lacks intelligence and adaptive capabilities and cannot adjust the temperature setting value in real time according to the actual working conditions of the power electronic devices, resulting in poor temperature control effect. By automatically detecting and adjusting the temperature of the power electronic devices, the temperature setting value is adjusted in real time according to the actual working conditions of the devices, thereby achieving the technical effect of precise temperature control.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 is a structural block diagram of an adaptive temperature regulation system for power electronic devices in one embodiment; Figure 2 FIG. 1 is a flow chart of predictive temperature regulation of an adaptive temperature regulation method for power electronic devices in one embodiment.

[0010] Explanation of the reference numerals: target power electronic circuit acquisition module 11 , predetermined characteristic index reading module 12 , predicted operating temperature acquisition module 13 , target feedback coefficient acquisition module 14 , temperature correction module 15 , temperature regulation device group activation module 16 , temperature regulation module 17 . DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0012] like Figure 1 As shown, the present application provides an adaptive temperature regulation system for power electronic devices, comprising: A target power electronic circuit acquisition module 11, wherein the target power electronic circuit acquisition module 11 is used to acquire a target power electronic circuit, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor; A predetermined characteristic index reading module 12, the predetermined characteristic index reading module 12 is used to read a predetermined characteristic index, and based on the predetermined characteristic index, collect characteristics of a first power electronic device among the plurality of power electronic devices to obtain first characteristic information; A predicted operating temperature obtaining module 13, wherein the predicted operating temperature obtaining module 13 is used to input the first characteristic information into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device; A target feedback coefficient obtaining module 14, wherein the target feedback coefficient obtaining module 14 is used to introduce a capacitor operation influence analysis function to analyze the target multi-dimensional operation characteristics of the target capacitor to obtain a target feedback coefficient; A temperature correction module 15, wherein the temperature correction module 15 is used to correct the first predicted operating temperature in combination with the target feedback coefficient to obtain a first target operating temperature; a temperature regulating device group activation module 16, wherein the temperature regulating device group activation module 16 is used to activate the temperature regulating device group when the first target operating temperature does not meet the operating temperature limit of the power electronic device; A temperature regulating module 17, wherein the temperature regulating module 17 is used to regulate the temperature of the first power electronic device in the target power electronic circuit by using the temperature regulating device group.

[0013] Furthermore, the system comprises: The predetermined characteristic index includes a module, and the predetermined characteristic index includes a module for the predetermined characteristic index including at least conversion speed, conduction voltage drop, blocking voltage, current capacity, thermal resistance and energy efficiency.

[0014] Furthermore, the system also includes: The model includes a module, and the model includes a module for the device temperature prediction model, which is constructed by a neural network predictor, an external factor processor and a prediction calibrator; a characteristic information analysis module, the characteristic information analysis module being used to analyze the first characteristic information through the neural network predictor to obtain a first initial predicted operating temperature; a target external factor coefficient obtaining module, the target external factor coefficient obtaining module being used to perform standardization processing on the target operating condition information of the target power electronic circuit dynamically monitored based on the predetermined external factor feature through the external factor processor to obtain the target external factor coefficient; A prediction calibration result obtaining module, wherein the prediction calibration result obtaining module is used to input the first initial predicted operating temperature and the target external factor coefficient into the prediction calibrator to obtain a first prediction calibration result; A predicted operating temperature module is used to use the first predicted calibration result as the first predicted operating temperature.

[0015] Furthermore, the system comprises: The predetermined external factor feature includes a module, and the predetermined external factor feature includes a module for the predetermined external factor feature including an environmental condition feature, a material condition feature and a layout condition feature.

[0016] Furthermore, the system comprises: A target charge-discharge energy loss acquisition module, wherein the target charge-discharge energy loss acquisition module is used to collect operation characteristics of the target capacitor in the charge-discharge dimension to obtain the target charge-discharge energy loss; A target filtering feature acquisition module, the target filtering feature acquisition module is used to collect the operation features of the filtering dimension of the target capacitor to obtain the target filtering features, the target filtering features including the target filtering capacity and the target filtering ESR value; A target voltage regulation feature acquisition module, the target voltage regulation feature acquisition module is used to collect the operation features of the voltage regulation dimension of the target capacitor to obtain the target voltage regulation feature, the target voltage regulation feature includes a target voltage regulation capacity and a target voltage regulation ESR value; A target noise suppression rate acquisition module, the target noise suppression rate acquisition module is used to collect the operation characteristics of the target capacitor in the decoupling dimension to obtain the target noise suppression rate; The target charge and discharge energy loss, the target filter capacity, the target filter ESR value, the target voltage stabilization capacity, the target voltage stabilization ESR value and the target noise suppression rate together constitute the target multi-dimensional operation characteristics.

[0017] Furthermore, the system comprises: The analysis function module is used for the expression of the capacitor operation influence analysis function as follows: ; in, refers to the target capacitor The target feedback coefficient, It refers to the target charge and discharge energy loss, which is used to characterize the target charge and discharge feedback coefficient for the operating temperature of the power electronic device. Used to characterize the target filter capacity and the target filter ESR value Target filter feedback coefficient for the operating temperature of power electronic devices, Used to characterize the target voltage regulation capacity and the target regulated ESR value The target voltage regulation feedback factor for the operating temperature of the power electronic device, A target decoupling feedback coefficient for characterizing the target noise suppression rate to the operating temperature of the power electronic device, refers to the target capacitor Conducted The first of the operation monitoring features Secondary monitoring characteristics, is the adjustment coefficient, and .

[0018] Furthermore, the system comprises: A temperature regulating device module, wherein the temperature regulating device module is used for the temperature regulating device group including a heating device and a cooling device, wherein when the first target operating temperature is lower than the operating temperature limit of the power electronic device, the heating device is activated to perform temperature regulation of the first power electronic device, and when the first target operating temperature is higher than the operating temperature limit of the power electronic device, the cooling device is activated to perform temperature regulation of the first power electronic device.

[0019] Furthermore, the system also includes: A trend analysis module, the trend analysis module is used to perform a trend analysis on a first operation monitoring feature time series in a target operation monitoring feature time series generated based on the secondary operation monitoring feature, to obtain a first trend feature; A prediction feedback coefficient module, wherein the prediction feedback coefficient module is used to retrieve a feedback coefficient prediction model to analyze the first trend feature to obtain a prediction feedback coefficient; A predictive temperature regulation module is used to perform predictive temperature regulation on the target power electronic circuit according to the compliance judgment result of the predicted feedback coefficient with the feedback coefficient limit.

[0020] Furthermore, the system comprises: The target operation monitoring timing includes a module, and the target operation monitoring timing includes a module for monitoring characteristic timing of the target operation, including charging and discharging energy loss timing, filtering capacity timing, filtering ESR value timing, voltage stabilization capacity timing, voltage stabilization ESR value timing and noise suppression rate timing.

[0021] Based on the same inventive concept as the adaptive temperature adjustment system for power electronic devices in the aforementioned embodiment, the present disclosure also provides an adaptive temperature adjustment method for power electronic devices, the method comprising: A target power electronic circuit is obtained, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor.

[0022] Power electronic devices, also known as power semiconductor devices, are high-power electronic devices mainly used in power equipment for power conversion and control circuits. Although adaptive temperature control technology can automatically adjust the temperature according to the working state of power electronic devices, it may not be able to achieve accurate temperature control due to the limited accuracy and sensitivity of temperature sensors. This may cause power electronic devices to operate in an overheated or overcooled state, affecting their performance and life. An adaptive temperature control method for power electronic devices is provided, which can significantly improve the temperature control accuracy of the adaptive temperature control system by adopting more advanced temperature sensors and more accurate control algorithms. This helps to ensure that power electronic devices operate within the optimal temperature range, thereby improving their performance and life.

[0023] Obtaining a target power electronic circuit refers to a circuit that needs to be studied and is randomly selected from multiple groups of power electronic circuits and recorded as a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor. Power electronic devices include insulated gate bipolar transistors and metal oxide semiconductor field effect transistors, as well as rectifier diodes and filter inductors. A target capacitor refers to an electronic component on a target power electronic circuit, whose main function is to store electrical energy by storing charges on electrodes. The target power electronic circuit may be a rectifier circuit, an inverter circuit, an AC conversion circuit, or a DC conversion circuit, depending on the application requirements. The power electronic devices and target capacitors in the circuit need to be selected and configured according to the function, working conditions, and performance indicators of the circuit.

[0024] Reading predetermined characteristic indicators, and collecting characteristics of a first power electronic device among the plurality of power electronic devices based on the predetermined characteristic indicators to obtain first characteristic information; the predetermined characteristic indicators at least include conversion speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance and energy efficiency.

[0025] The process of reading predetermined characteristic indicators and collecting characteristics of power electronic devices to obtain first characteristic information is crucial in the development and testing of power electronic devices. Conversion speed includes the speed at which power electronic devices switch from one working state to another, which affects the response time and efficiency of the power electronic system. The conversion speed is evaluated by measuring the switching time of the device under different working conditions, such as the rise time and fall time. The on-state voltage drop refers to the ratio between the voltage across the power electronic device and the current flowing through it when it is in the on state, reflecting the power loss of the device when it is on. The blocking voltage is the maximum voltage that the power electronic device can withstand in the off state. By applying a gradually increasing voltage until the device breaks down, the voltage value at this time is recorded as the blocking voltage. The current capacity is the maximum current that the power electronic device can withstand under normal working conditions. Thermal resistance is the ratio between the temperature difference between the internal temperature and the external temperature of the device and the power consumption of the device. Energy efficiency is the ratio between the output power of the device and the input power. Characteristic acquisition includes determining the test environment, selecting the test equipment, connecting the test equipment, setting the test parameters, and executing the test, and sequentially testing the characteristics of the power electronic device such as conversion speed, conduction voltage drop, blocking voltage, current capacity, thermal resistance, and energy efficiency. Through the above method, the first characteristic information is obtained.

[0026] The first characteristic information is input into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device.

[0027] The device temperature prediction model is constructed by a neural network predictor, an external factor processor and a prediction calibrator; the first characteristic information is analyzed by the neural network predictor to obtain a first initial predicted operating temperature; the target operating condition information of the target power electronic circuit dynamically monitored based on predetermined external factor characteristics is standardized by the external factor processor to obtain a target external factor coefficient; the first initial predicted operating temperature and the target external factor coefficient are input into the prediction calibrator to obtain a first prediction calibration result; and the first prediction calibration result is used as the first predicted operating temperature.

[0028] The first characteristic information is usually some inherent characteristics or state information about the power electronic device, such as resistance, capacitance, current, voltage, etc. The target operating condition information of the target power electronic circuit refers to various external conditions that the power electronic device may encounter in the actual working environment, such as ambient temperature, humidity, wind speed, load change, etc. The neural network predictor uses the powerful learning ability of the neural network to analyze and process the input first characteristic information. Through training on a large amount of historical data, the neural network predictor can learn the mapping relationship from characteristic information to operating temperature. When the new first characteristic information is input, the neural network predictor will output a first initial predicted operating temperature. The external factor processor is responsible for processing the target operating condition information dynamically monitored, which contains a lot of noise and uncertainty, so it needs to be standardized to eliminate these interference factors. The standardized information is converted into a target external factor coefficient, which reflects the degree of influence of external conditions on the operating temperature of the power electronic device. The function of the prediction calibrator is to calibrate the first initial predicted operating temperature according to the target external factor coefficient. Since the operating temperature of the power electronic device is not only affected by its inherent characteristics, but also by external conditions, calibration is required to improve the accuracy of the prediction. The first initial predicted operating temperature and the target external factor coefficient are input into the prediction calibrator. After calculation and adjustment, the first prediction calibration result, i.e., the first predicted operating temperature, is finally obtained. The first predicted operating temperature is the predicted value of the operating temperature of the power electronic device at a certain moment in the future. It has important reference value for the operation management, fault diagnosis, life prediction and other aspects of power electronic equipment. Through the above method, the advantages of the neural network predictor, external factor processor and prediction calibrator are integrated to achieve accurate prediction of the operating temperature of the power electronic device, providing strong support for the reliable operation of the power electronic equipment.

[0029] The predetermined external factor characteristics include environmental condition characteristics, material condition characteristics and layout condition characteristics.

[0030] Environmental condition characteristics mainly include the temperature, humidity, air pressure, wind speed, etc. of the environment where the power electronic device is located, which have a direct impact on the heat dissipation performance of the power electronic device, thereby affecting its operating temperature. For example, a high temperature environment may cause poor heat dissipation of the device, thereby increasing its temperature. The external factor processor dynamically monitors these environmental condition characteristics and standardizes them to obtain the corresponding target external factor coefficients. These coefficients can reflect the degree of influence of environmental conditions on the operating temperature of the power electronic device. Material condition characteristics involve the material properties used in the manufacturing process of power electronic devices, such as thermal conductivity, thermal expansion coefficient, insulation, etc. These material properties determine the transfer and distribution of heat inside the device, thereby affecting its operating temperature. Different material conditions may cause power electronic devices to produce different operating temperatures under the same working conditions. Therefore, these material condition characteristics must be considered when predicting the operating temperature. The external factor processor calculates the corresponding target external factor coefficient based on these material condition characteristics and inputs it into the prediction calibrator for calibration. Layout condition characteristics refer to the arrangement, spacing, and heat dissipation design of power electronic devices on the circuit board. These factors affect the heat transfer and heat dissipation effect between devices, thereby affecting their operating temperature. For example, if the spacing between devices is too small, heat may accumulate and increase the device temperature. Similarly, if the heat dissipation design is unreasonable, it may also lead to poor heat dissipation of the device and increase its temperature. The external factor processor will comprehensively consider these layout condition characteristics and calculate the corresponding target external factor coefficients. These coefficients will be used to calibrate the initial predicted operating temperature output by the neural network predictor to improve the accuracy of the prediction. Through the above method, the operating temperature of power electronic devices can be more accurately predicted by comprehensively considering the environmental condition characteristics, material condition characteristics and layout condition characteristics. This is of great significance for the operation management, fault diagnosis, life prediction and other aspects of power electronic equipment.

[0031] A capacitor operation influence analysis function is introduced to analyze the target multi-dimensional operation characteristics of the target capacitor to obtain a target feedback coefficient.

[0032] In power electronic systems, capacitors are an important component, and their operating status has a significant impact on the performance and stability of the overall system. In order to more accurately predict the operating temperature of power electronic devices, including capacitors, a capacitor operating influence analysis function can be introduced, which is used to analyze the multidimensional operating characteristics of the target capacitor and output a target feedback coefficient. Define the multidimensional operating characteristics of the target capacitor. These characteristics may include the voltage, current, temperature, charge and discharge rate, aging degree, etc. of the capacitor. These characteristics can reflect the performance of the capacitor under different working conditions. Design a capacitor operating influence analysis function, which receives the multidimensional operating characteristics of the capacitor as input and outputs a target feedback coefficient. This coefficient can represent the degree of influence of the current operating state of the capacitor on the overall system performance or temperature prediction model. Through the above method, the capacitor operating influence analysis function is introduced to obtain the target feedback coefficient to improve the accuracy and reliability of the operating temperature prediction of power electronic devices.

[0033] The target capacitor is subjected to the operation feature collection of the charge and discharge dimension to obtain the target charge and discharge energy loss; the target capacitor is subjected to the operation feature collection of the filtering dimension to obtain the target filtering feature, and the target filtering feature includes the target filtering capacity and the target filtering ESR value; the target capacitor is subjected to the operation feature collection of the voltage stabilization dimension to obtain the target voltage stabilization feature, and the target voltage stabilization feature includes the target voltage stabilization capacity and the target voltage stabilization ESR value; the target capacitor is subjected to the operation feature collection of the decoupling dimension to obtain the target noise suppression rate; the target charge and discharge energy loss, the target filtering capacity, the target filtering ESR value, the target voltage stabilization capacity, the target voltage stabilization ESR value and the target noise suppression rate together constitute the target multi-dimensional operation feature.

[0034] The collection of operation characteristics in the charge and discharge dimension uses special test equipment or circuits to perform charge and discharge cycles on the target capacitor. During the charge and discharge process, the change data of current, voltage and time are recorded. Based on these data, the charge and discharge energy loss of the target capacitor is calculated, that is, the integration operation of current and voltage is performed to obtain the energy change during the charge and discharge process. The collection of operation characteristics in the filtering dimension, the target filter capacity and the target filter ESR value, connect the target capacitor in the filter circuit, and apply a signal of a certain frequency and amplitude, use an oscilloscope or spectrum analyzer and other equipment to measure the voltage and current waveforms across the capacitor, and extract the filter capacity and ESR value from the waveform data. The filter capacity is usually related to the voltage change of the capacitor at a specific frequency, while the ESR value is related to the phase difference between current and voltage. The collection of operation characteristics in the voltage regulation dimension, that is, the collection of target voltage regulation capacity and target voltage regulation ESR value, connect the target capacitor in the voltage regulation circuit, such as the power management circuit, and measure the output voltage and current of the circuit under different load conditions. The voltage regulation performance of the capacitor is evaluated by analyzing the stability of the output voltage, such as the change of ripple voltage and current. The voltage stabilization capacity and voltage stabilization ESR value can be determined by comparing with the standard value or expected value. The operation feature collection of the decoupling dimension is to connect the target capacitor in the decoupling circuit, such as the power supply decoupling in the digital circuit. Use a noise measurement device, such as a noise analyzer, to measure the noise level in the circuit. The noise level is measured when the target capacitor is connected and removed, and the noise suppression effect of the capacitor is obtained by comparing the two measurement results. The target noise suppression rate can be expressed as the reduction ratio of the noise level. The above-collected target charge and discharge energy loss, target filter capacity, target filter ESR value, target voltage stabilization capacity, target voltage stabilization ESR value and target noise suppression rate data are integrated to form a data set containing information in multiple dimensions. This data set is the target multi-dimensional operation feature of the target capacitor, which can fully reflect the performance of the capacitor in different application scenarios. Through the analysis of these multi-dimensional operation features, the performance of the target capacitor can be more accurately evaluated, and strong data support can be provided for subsequent prediction models or optimization algorithms.

[0035] The expression of the capacitor operation influence analysis function is as follows: ; in, refers to the target capacitor The target feedback coefficient, It refers to the target charge and discharge energy loss, which is used to characterize the target charge and discharge feedback coefficient for the operating temperature of the power electronic device. Used to characterize the target filter capacity and the target filter ESR value Target filter feedback coefficient for the operating temperature of power electronic devices, Used to characterize the target voltage regulation capacity and the target regulated ESR value The target voltage regulation feedback factor for the operating temperature of the power electronic device, A target decoupling feedback coefficient for characterizing the target noise suppression rate to the operating temperature of the power electronic device, refers to the target capacitor Conducted The first of the operation monitoring features Secondary monitoring characteristics, is the adjustment coefficient, and .

[0036] When defining the expression of the capacitor operation impact analysis function, multiple parameters and variables need to be considered, which represent the performance characteristics of the capacitor in different operation dimensions and their impact on the operating temperature of the power electronic device. The expression of the capacitor operation impact analysis function is as follows: ; in, refers to the target capacitor The target feedback coefficient represents the comprehensive influence of capacitor operation on the operating temperature of power electronic devices. It refers to the target charge and discharge energy loss, which is used to characterize the target charge and discharge feedback coefficient for the operating temperature of the power electronic device, and is obtained through actual charge and discharge tests. Used to characterize the target filter capacity and the target filter ESR value The target filter feedback coefficient for the operating temperature of the power electronic device is used to characterize the influence of the target filter capacity and the target filter ESR value on the operating temperature of the power electronic device. It can be calculated through the performance test of the filter circuit. Used to characterize the target voltage regulation capacity and the target regulated ESR value The target voltage regulation feedback factor for the operating temperature of the power electronic device is used to characterize the influence of the target voltage regulation capacity and the target voltage regulation ESR value on the operating temperature of the power electronic device. This can be calculated through the performance test of the voltage regulation circuit. A target decoupling feedback coefficient for characterizing the effect of the target noise suppression rate on the operating temperature of the power electronic device is used to characterize the effect of the target noise suppression rate on the operating temperature of the power electronic device, wherein: refers to the target capacitor Conducted The first of the operation monitoring features Secondary monitoring characteristics, is the adjustment coefficient, and Through the above method, the capacitor operation influence analysis function is obtained.

[0037] like Figure 2 As shown, a trend analysis is performed on the first operation monitoring feature time series in the target operation monitoring feature time series generated based on the secondary operation monitoring feature to obtain a first trend feature; a feedback coefficient prediction model is called to analyze the first trend feature to obtain a predicted feedback coefficient; and predictive temperature adjustment is performed on the target power electronic circuit based on the compliance judgment result of the predicted feedback coefficient with the feedback coefficient limit.

[0038] The target operation monitoring characteristic timing includes charging and discharging energy loss timing, filtering capacity timing, filtering ESR value timing, voltage stabilizing capacity timing, voltage stabilizing ESR value timing and noise suppression rate timing.

[0039] From the target operation monitoring feature time series generated based on multiple operation monitoring features, a random operation monitoring feature time series is selected and recorded as the first operation detection feature time series, for example, the charging and discharging energy loss time series, the filtering capacity time series, the filtering ESR value time series, etc., and the target operation monitoring feature time series is analyzed one by one. For example, a trend analysis is performed on the selected first operation monitoring feature time series, including identifying trends in the data, such as rising, falling, stable, periodic changes and abnormal values, etc. Through trend analysis, the first trend feature is obtained. This feature can be a numerical value, such as a slope, or a classification label, such as an upward trend, a downward trend, etc., which is used to describe the overall change trend of the first operation monitoring feature time series. After obtaining the first trend feature, it can be input into the feedback coefficient prediction model for analysis. The feedback coefficient prediction model is a machine learning model obtained by training based on historical data. The task of the feedback coefficient prediction model is to predict the feedback coefficient of the target capacitor under current or future working conditions based on the input trend feature. This predicted feedback coefficient will be used to evaluate the degree of influence of the capacitor on the operating temperature of the power electronic circuit. According to the predicted feedback coefficient, combined with the compliance judgment result of the feedback coefficient limit, that is, judging whether the predicted feedback coefficient exceeds or falls below the preset limit range, the target power electronic circuit can be predictively adjusted in temperature. If the predicted feedback coefficient exceeds the upper limit, it means that the capacitor may have a large thermal effect on the circuit under the current or future working conditions. At this time, the circuit temperature can be reduced by reducing the working voltage, increasing heat dissipation measures, etc. If the predicted feedback coefficient is lower than the lower limit, it means that the capacitor has little effect on the circuit temperature under the current or future working conditions. At this time, the heat dissipation measures can be optimized to reduce unnecessary energy losses. In the management and optimization process of power electronic circuits, trend analysis of the operating characteristics of key components such as capacitors and combined with the feedback coefficient prediction model can effectively perform predictive temperature regulation, thereby improving the stability and reliability of the system.

[0040] The first predicted operating temperature is corrected in combination with the target feedback coefficient to obtain a first target operating temperature.

[0041] Perform a trend analysis on the first operation monitoring feature time series in the target operation monitoring feature time series generated based on the secondary operation monitoring feature to obtain a first trend feature; retrieve the feedback coefficient prediction model to analyze the first trend feature to obtain a predicted feedback coefficient, which reflects the actual degree of influence of components such as capacitors on the circuit operation temperature. Use the target feedback coefficient to correct the first predicted operation temperature. The specific method of correction may vary depending on the application scenario, but it can usually be a simple multiplication or addition operation. For example, the predicted temperature can be multiplied by the target feedback coefficient, or the predicted temperature can be added to the target feedback coefficient, and the feedback coefficient is given in the form of temperature difference when adding. Obtain a calculation result, which is the first target operation temperature. After obtaining the first target operation temperature, it can be used in the temperature management system of the power electronic circuit, for example, as the basis for the temperature control strategy or as a threshold for the temperature alarm.

[0042] When the first target operating temperature does not meet the operating temperature limit of the power electronic device, the temperature adjustment device group is activated.

[0043] The temperature regulation device group includes heating equipment and cooling equipment, wherein when the first target operating temperature is lower than the operating temperature limit of the power electronic device, the heating equipment is activated to regulate the temperature of the first power electronic device, and when the first target operating temperature is higher than the operating temperature limit of the power electronic device, the cooling equipment is activated to regulate the temperature of the first power electronic device.

[0044] In the temperature management of power electronic systems, it is crucial to ensure that the operating temperature of power electronic devices is within a safe range. When the predicted first target operating temperature does not meet the operating temperature limit of the power electronic device, it is necessary to activate the corresponding temperature adjustment device group for temperature adjustment. The first target operating temperature is calculated through the previous trend analysis and feedback coefficient correction. The first target operating temperature is compared with the operating temperature limit of the power electronic device. The operating temperature limit usually includes a minimum temperature limit and a maximum temperature limit, which are designed to ensure that the power electronic device operates within a safe temperature range. If the first target operating temperature is lower than the minimum operating temperature limit of the power electronic device, the temperature of the power electronic device needs to be increased. At this time, the heating equipment in the temperature adjustment device group, such as a heater, a hot air blower, etc., is activated to heat the power electronic device until its temperature reaches or exceeds the minimum operating temperature limit. If the first target operating temperature is higher than the maximum operating temperature limit of the power electronic device, the temperature of the power electronic device needs to be reduced. At this time, the cooling equipment in the temperature adjustment device group, such as a cooling fan, a water cooling system, etc., is activated to cool the power electronic device until its temperature drops below the maximum operating temperature limit. During the temperature adjustment process, it is necessary to continuously monitor the temperature changes of the power electronic devices to ensure that the temperature adjustment equipment group works effectively and the temperature of the power electronic devices is within a safe range. Through the above method, it is ensured that the power electronic devices operate within a safe temperature range and improve their working stability and reliability.

[0045] The temperature of the first power electronic device in the target power electronic circuit is regulated by the temperature regulation device group.

[0046] According to the comparison result between the first target operating temperature and the operating temperature limit of the power electronic device, it is decided to activate the heating device or cooling device in the temperature adjustment device group, and accurately find the first power electronic device that needs to adjust the temperature in the target power electronic circuit. This is usually done through a circuit diagram, a device label or a physical location. If the first target operating temperature is lower than the minimum operating temperature limit of the power electronic device, activate the heating device, such as a heater, a hot air blower, etc. to heat the first power electronic device. The heating device should be placed in a position that can directly or indirectly increase the temperature of the target power electronic device to ensure that the heat can be effectively transferred to the device. If the first target operating temperature is higher than the maximum operating temperature limit of the power electronic device, activate the cooling device, such as a cooling fan, a water cooling system, etc. to cool the first power electronic device. The cooling device should be configured to take away the excess heat generated by the power electronic device to ensure that the device temperature is reduced to a safe range. Through the above method, the temperature of the first power electronic device in the target power electronic circuit is effectively adjusted to ensure that it operates within a suitable temperature range and improve the stability and reliability of the circuit.

[0047] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0048] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. An adaptive temperature control system for power electronic devices, characterized in that: include: A target power electronic circuit acquisition module, wherein the target power electronic circuit acquisition module is used to acquire a target power electronic circuit, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor; A predetermined characteristic index reading module, the predetermined characteristic index reading module is used to read a predetermined characteristic index, and based on the predetermined characteristic index, collect characteristics of a first power electronic device among the plurality of power electronic devices to obtain first characteristic information; A predicted operating temperature obtaining module, the predicted operating temperature obtaining module is used to input the first characteristic information into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device; A target feedback coefficient obtaining module, wherein the target feedback coefficient obtaining module is used to introduce a capacitor operation influence analysis function to analyze the target multi-dimensional operation characteristics of the target capacitor to obtain a target feedback coefficient; a temperature correction module, the temperature correction module being used to correct the first predicted operating temperature in combination with the target feedback coefficient to obtain a first target operating temperature; a temperature regulating device group activation module, wherein the temperature regulating device group activation module is used to activate the temperature regulating device group when the first target operating temperature does not meet the operating temperature limit of the power electronic device; A temperature adjustment module is used to adjust the temperature of the first power electronic device in the target power electronic circuit through the temperature adjustment device group.

2. The system according to claim 1, characterized in that: The system comprises: The predetermined characteristic index includes a module, and the predetermined characteristic index includes a module for the predetermined characteristic index including at least conversion speed, conduction voltage drop, blocking voltage, current capacity, thermal resistance and energy efficiency.

3. The system according to claim 1, characterized in that: The system further comprises: The model includes a module, and the model includes a module for the device temperature prediction model, which is constructed by a neural network predictor, an external factor processor and a prediction calibrator; a characteristic information analysis module, the characteristic information analysis module being used to analyze the first characteristic information through the neural network predictor to obtain a first initial predicted operating temperature; a target external factor coefficient obtaining module, the target external factor coefficient obtaining module being used to perform standardization processing on the target operating condition information of the target power electronic circuit dynamically monitored based on the predetermined external factor feature through the external factor processor to obtain the target external factor coefficient; A prediction calibration result obtaining module, wherein the prediction calibration result obtaining module is used to input the first initial predicted operating temperature and the target external factor coefficient into the prediction calibrator to obtain a first prediction calibration result; A predicted operating temperature module is used to use the first predicted calibration result as the first predicted operating temperature.

4. The system according to claim 3, characterized in that: The system comprises: The predetermined external factor feature includes a module, and the predetermined external factor feature includes a module for the predetermined external factor feature including an environmental condition feature, a material condition feature and a layout condition feature.

5. The system according to claim 1, characterized in that: The system comprises: A target charge-discharge energy loss acquisition module, wherein the target charge-discharge energy loss acquisition module is used to collect operation characteristics of the target capacitor in the charge-discharge dimension to obtain the target charge-discharge energy loss; A target filtering feature acquisition module, the target filtering feature acquisition module is used to collect the operation features of the filtering dimension of the target capacitor to obtain the target filtering features, the target filtering features including the target filtering capacity and the target filtering ESR value; A target voltage regulation feature acquisition module, the target voltage regulation feature acquisition module is used to collect the operation features of the voltage regulation dimension of the target capacitor to obtain the target voltage regulation feature, the target voltage regulation feature includes a target voltage regulation capacity and a target voltage regulation ESR value; A target noise suppression rate acquisition module, the target noise suppression rate acquisition module is used to collect the operation characteristics of the target capacitor in the decoupling dimension to obtain the target noise suppression rate; The target charge and discharge energy loss, the target filter capacity, the target filter ESR value, the target voltage stabilization capacity, the target voltage stabilization ESR value and the target noise suppression rate together constitute the target multi-dimensional operation characteristics.

6. The system according to claim 5, characterized in that: The system comprises: The analysis function module is used for the expression of the capacitor operation influence analysis function as follows: ； in, refers to the target capacitor The target feedback coefficient, It refers to the target charge and discharge energy loss, which is used to characterize the target charge and discharge feedback coefficient for the operating temperature of the power electronic device. Used to characterize the target filter capacity and the target filter ESR value Target filter feedback coefficient for the operating temperature of power electronic devices, Used to characterize the target voltage regulation capacity and the target regulated ESR value The target voltage regulation feedback factor for the operating temperature of the power electronic device, A target decoupling feedback coefficient for characterizing the target noise suppression rate to the operating temperature of the power electronic device, refers to the target capacitor Conducted The first of the operation monitoring features Secondary monitoring characteristics, is the adjustment coefficient, and .

7. The system according to claim 1, characterized in that: The system comprises: A temperature regulating device module, wherein the temperature regulating device module is used for the temperature regulating device group including a heating device and a cooling device, wherein when the first target operating temperature is lower than the operating temperature limit of the power electronic device, the heating device is activated to perform temperature regulation of the first power electronic device, and when the first target operating temperature is higher than the operating temperature limit of the power electronic device, the cooling device is activated to perform temperature regulation of the first power electronic device.

8. The system according to claim 6, characterized in that: The system further comprises: A trend analysis module, the trend analysis module is used to perform a trend analysis on a first operation monitoring feature time series in a target operation monitoring feature time series generated based on the secondary operation monitoring feature, to obtain a first trend feature; A prediction feedback coefficient module, wherein the prediction feedback coefficient module is used to retrieve a feedback coefficient prediction model to analyze the first trend feature to obtain a prediction feedback coefficient; A predictive temperature regulation module is used to perform predictive temperature regulation on the target power electronic circuit according to the compliance judgment result of the predicted feedback coefficient with the feedback coefficient limit.

9. The system according to claim 8, characterized in that: The system comprises: The target operation monitoring timing includes a module, and the target operation monitoring timing includes a module for monitoring characteristic timing of the target operation, including charging and discharging energy loss timing, filtering capacity timing, filtering ESR value timing, voltage stabilization capacity timing, voltage stabilization ESR value timing and noise suppression rate timing.

10. An adaptive temperature regulation method for power electronic devices, characterized in that: include: Acquire a target power electronic circuit, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor; Reading a predetermined characteristic index, and collecting characteristics of a first power electronic device among the plurality of power electronic devices based on the predetermined characteristic index to obtain first characteristic information; Inputting the first characteristic information into a device temperature prediction model to obtain a first predicted operating temperature of the first power electronic device; Introducing a capacitor operation influence analysis function to analyze the target multi-dimensional operation characteristics of the target capacitor to obtain a target feedback coefficient; Correcting the first predicted operating temperature in combination with the target feedback coefficient to obtain a first target operating temperature; When the first target operating temperature does not meet the operating temperature limit of the power electronic device, activating the temperature adjustment device group; The temperature of the first power electronic device in the target power electronic circuit is regulated by the temperature regulation device group.

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