Adaptive temperature control system for power electronic devices

Abstract

This invention discloses an adaptive temperature control system for power electronic devices, relating to the field of temperature control. The system includes: a target power electronic circuit acquisition module for acquiring the target power electronic circuit; a predetermined characteristic index reading module for obtaining the characteristics; a predicted operating temperature acquisition module for obtaining a first predicted operating temperature; a target feedback coefficient acquisition module for obtaining the target feedback coefficient; a temperature correction module for correcting the temperature; a temperature control device group activation module for activating the temperature control device group; and a temperature control module for performing temperature control. This invention solves the technical problem in existing temperature control systems that lack intelligence and adaptive capabilities, failing to adjust the temperature setpoint in real time according to the actual operating conditions of the power electronic devices, resulting in poor temperature control performance. By automatically detecting and adjusting the temperature of the power electronic devices, and adjusting the temperature setpoint in real time according to the actual operating conditions of the devices, the system achieves precise temperature control.

Description

Technical Field

[0001] This application relates to the field of temperature regulation technology, specifically to an adaptive temperature regulation system for power electronic devices. Background Technology

[0002] With the rapid development of integrated circuit technology, the size of power electronic devices and products is gradually decreasing, and their integration density is increasing. This leads to a significant increase in the heat flux density around these devices. For example, the heat flux density generated during the operation of a computer CPU has reached 60-100 W / cm², and in semiconductor lasers it even reaches the order of 10³ W / cm². Meanwhile, the reliability of power electronic devices is highly sensitive to temperature; for every 1°C increase in temperature above 70-80°C, reliability decreases by 5%. Therefore, efficient temperature control is crucial to ensuring the stability and reliability of power electronic devices.

[0003] In summary, existing temperature control systems lack intelligence and adaptability, and cannot adjust the temperature setpoint in real time according to the actual working conditions of power electronic devices, resulting in poor temperature control performance. Summary of the Invention

[0004] Therefore, it is necessary to provide an adaptive temperature control system for power electronic devices to address the aforementioned technical problems. This system can solve the technical problem that existing temperature control systems lack intelligence and adaptive capabilities, and cannot adjust the temperature setpoint in real time according to the actual working conditions of the power electronic devices, resulting in poor temperature control performance. By automatically detecting and adjusting the temperature of the power electronic devices, and adjusting the temperature setpoint in real time according to the actual working conditions of the devices, the system can achieve precise temperature control.

[0005] In a first aspect, an adaptive temperature control system for power electronic devices is provided, comprising: a target power electronic circuit acquisition module, wherein the target power electronic circuit includes a plurality of power electronic devices and a target capacitor; a predetermined characteristic index reading module, wherein the predetermined characteristic index reading module is used to read predetermined characteristic indexes and, based on the predetermined characteristic indexes, to perform characteristic acquisition on a first power electronic device among the plurality of power electronic devices to obtain first characteristic information; and a predicted operating temperature acquisition module, wherein 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. The system includes: a target feedback coefficient acquisition module, which uses a capacitor operation impact analysis function to analyze the target multidimensional operation characteristics of the target capacitor and obtain the target feedback coefficient; a temperature correction module, which uses the target feedback coefficient to correct the first predicted operation temperature and obtain the first target operation temperature; a temperature regulation device group activation module, which activates the temperature regulation device group when the first target operation temperature does not meet the operating temperature limit of the power electronic device; and a temperature regulation module, which uses the temperature regulation device group to regulate the temperature of the first power electronic device in the target power electronic circuit.

[0006] Secondly, an adaptive temperature regulation method for power electronic devices is provided, comprising: acquiring a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor; reading predetermined characteristic indicators, and collecting characteristic data of a first power electronic device among the multiple power electronic devices based on the predetermined characteristic indicators 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 multidimensional operating characteristics of the target capacitor to obtain a target feedback coefficient; correcting the first predicted operating temperature based on 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 aforementioned adaptive temperature control system for power electronic devices solves the technical problem that existing temperature control systems lack intelligence and adaptability, and cannot adjust the temperature setpoint in real time according to the actual working conditions of the power electronic devices, resulting in poor temperature control. By automatically detecting and adjusting the temperature of the power electronic devices, and adjusting the temperature setpoint in real time according to the actual working conditions of the devices, the system achieves precise temperature control.

[0008] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0009] Figure 1 This is a block diagram of an adaptive temperature control system for power electronic devices in one embodiment;

[0010] Figure 2 This is a flowchart illustrating the predictive temperature regulation process of an adaptive temperature regulation method for power electronic devices in one embodiment.

[0011] Explanation of reference numerals in the attached figures: 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 equipment group activation module 16, Temperature regulation module 17. Detailed Implementation

[0012] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0013] like Figure 1 As shown, this application provides an adaptive temperature control system for power electronic devices, comprising:

[0014] The target power electronic circuit acquisition module 11 is used to acquire a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor;

[0015] A predetermined characteristic index reading module 12 is used to read predetermined characteristic indexes and collect the characteristics of the first power electronic device among the plurality of power electronic devices based on the predetermined characteristic indexes to obtain first characteristic information.

[0016] The predicted operating temperature acquisition module 13 is used to input the first characteristic information into the device temperature prediction model to obtain the first predicted operating temperature of the first power electronic device.

[0017] The target feedback coefficient acquisition module 14 is used to introduce a capacitor operation impact analysis function to analyze the target multidimensional operation characteristics of the target capacitor and obtain the target feedback coefficient.

[0018] Temperature correction module 15, the temperature correction module 15 is used to correct the first predicted operating temperature in combination with the target feedback coefficient to obtain the first target operating temperature;

[0019] Temperature regulation device group activation module 16 is used to activate the temperature regulation device group when the first target operating temperature does not meet the operating temperature limit of the power electronic device.

[0020] Temperature regulation module 17, the temperature regulation module 17 is used to regulate the temperature of the first power electronic device in the target power electronic circuit through the temperature regulation device group.

[0021] Furthermore, the system includes:

[0022] The predetermined characteristic index includes a module, which is used to specify that the predetermined characteristic index includes at least switching speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance, and energy efficiency.

[0023] Furthermore, the system also includes:

[0024] The model includes modules, which are used to build the device temperature prediction model, which is composed of a neural network predictor, an external factor processor, and a prediction calibrator.

[0025] The characteristic information analysis module is used to analyze the first characteristic information through the neural network predictor to obtain the first initial predicted operating temperature.

[0026] The target external factor coefficient acquisition module is used to standardize the target operating condition information of the target power electronic circuit dynamically monitored based on predetermined external factor characteristics through the external factor processor to obtain the target external factor coefficient.

[0027] A prediction calibration result acquisition module is used to input the first initial predicted operating temperature and the target extrinsic coefficient into the prediction calibrator to obtain a first prediction calibration result.

[0028] A predictive operating temperature module is used to take the first prediction calibration result as the first predicted operating temperature.

[0029] Furthermore, the system includes:

[0030] The predetermined external factor feature includes a module, which is used for the predetermined external factor feature including environmental condition features, material condition features, and layout condition features.

[0031] Furthermore, the system includes:

[0032] A target charge / discharge energy loss acquisition module is used to collect the operational characteristics of the target capacitor in the charge / discharge dimension to obtain the target charge / discharge energy loss.

[0033] The target filtering feature acquisition module is used to collect the working features of the target capacitor in the filtering dimension to obtain the target filtering features, which include the target filtering capacity and the target filtering ESR value.

[0034] The target voltage regulation feature acquisition module is used to collect the operational features of the target capacitor in the voltage regulation dimension to obtain the target voltage regulation feature, which includes the target voltage regulation capacity and the target voltage regulation ESR value.

[0035] The target noise reduction rate acquisition module is used to collect the decoupling dimension operation features of the target capacitor to obtain the target noise reduction rate.

[0036] The target charging and discharging energy loss, the target filtering capacity, the target filtering ESR value, the target voltage regulation capacity, the target voltage regulation ESR value, and the target noise suppression rate together constitute the target multidimensional operating characteristics.

[0037] Furthermore, the system includes:

[0038] The analysis function module, which is used to perform the expression of the capacitor operation impact analysis function, is as follows:

[0039] ;

[0040] in, The target capacitor refers to The target feedback coefficient, This refers to the target charge / discharge energy loss, used to characterize the target charge / discharge feedback coefficient for the operating temperature of power electronic devices. Used to characterize the target filtering capacity and the target filtered ESR value The 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 coefficient for the operating temperature of power electronic devices. The target decoupling feedback coefficient is used to characterize the target noise suppression rate in relation to the operating temperature of the power electronic device. This refers to the target capacitor. Performed The first of the characteristics of the next operation monitoring Secondary monitoring characteristics This refers to the adjustment coefficient, and .

[0041] Furthermore, the system includes:

[0042] A temperature regulation device module is provided, wherein the temperature regulation device group includes 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 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 device is activated to regulate the temperature of the first power electronic device.

[0043] Furthermore, the system also includes:

[0044] A trend analysis module is used to perform trend analysis on the time series of the first operation monitoring feature in the target operation monitoring feature generated based on the sub-operation monitoring features, and obtain the first trend feature;

[0045] The prediction feedback coefficient module is used to retrieve the feedback coefficient prediction model to analyze the first trend feature and obtain the prediction feedback coefficient.

[0046] A predictive temperature control module is used to predictively control the temperature of the target power electronic circuit based on the result of the conformity assessment of the predicted feedback coefficient to the limit value.

[0047] Furthermore, the system includes:

[0048] The target operation monitoring timing module includes a module for monitoring the target operation's characteristic timing, which includes charging and discharging energy loss timing, filtering capacity timing, filtering ESR value timing, voltage regulation capacity timing, voltage regulation ESR value timing, and noise suppression rate timing.

[0049] Based on the same inventive concept as the adaptive temperature regulation system for power electronic devices in the foregoing embodiments, this disclosure also provides an adaptive temperature regulation method for power electronic devices, the method comprising:

[0050] Obtain a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor.

[0051] Power electronic devices, also known as power semiconductor devices, are high-power electronic components primarily used in the power conversion and control circuits of power equipment. While adaptive temperature control technology can automatically adjust the temperature according to the operating state of power electronic devices, the limited accuracy and sensitivity of temperature sensors may prevent precise temperature control. This can lead to the power electronic devices operating in overheated or overcooled conditions, affecting their performance and lifespan. This paper presents an adaptive temperature control method for power electronic devices. By employing more advanced temperature sensors and more precise control algorithms, the temperature control accuracy of the adaptive temperature control system can be significantly improved. This helps ensure that power electronic devices operate within their optimal temperature range, thereby improving their performance and lifespan.

[0052] Acquiring a target power electronic circuit refers to a randomly selected circuit from multiple sets of power electronic circuits that needs to be studied. This target power electronic circuit includes multiple power electronic devices and a target capacitor. The power electronic devices include insulated-gate bipolar transistors (IGBTs) and metal-oxide-semiconductor field-effect transistors (MOSFETs), as well as rectifier diodes and filter inductors. The target capacitor is an electronic component in the target power electronic circuit whose main function is to store electrical energy by storing charge on its electrodes. The target power electronic circuit may be a rectifier circuit, an inverter circuit, an AC converter circuit, or a DC converter circuit, depending on the application requirements. The power electronic devices and target capacitor in the circuit need to be selected and configured according to the circuit's function, operating conditions, and performance specifications.

[0053] Read predetermined characteristic indicators, and collect the characteristics of the 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 include at least conversion speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance, and energy consumption efficiency.

[0054] The process of reading predetermined characteristic indicators and acquiring characteristic data from power electronic devices to obtain primary characteristic information is crucial in the research and development and testing of power electronic devices. Switching speed refers to the speed at which a power electronic device transitions from one operating state to another, affecting the response time and efficiency of the power electronic system. It is evaluated by measuring the switching time of the device under different operating conditions, such as rise time and fall time. On-state voltage drop is 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 during conduction. Blocking voltage is the maximum voltage that a power electronic device can withstand when it is in the off-state. It is determined by applying a gradually increasing voltage until the device breaks down, and recording the voltage value at this point as the blocking voltage. Current capacity is the maximum current that a power electronic device can withstand under normal operating conditions. Thermal resistance is the ratio between the temperature difference between the internal and external temperatures of the device and the device's power consumption. Energy efficiency is the ratio between the device's output power and input power. Characteristic acquisition includes determining the test environment, selecting test equipment, connecting the test equipment, setting test parameters, and executing the test. This involves sequentially testing the power electronic device's switching speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance, and energy efficiency. Through this method, the first characteristic information is obtained.

[0055] The first characteristic information is input into the device temperature prediction model to obtain the first predicted operating temperature of the first power electronic device.

[0056] The device temperature prediction model is constructed from a neural network predictor, an external factor processor, and a prediction calibrator. The neural network predictor analyzes the first characteristic information to obtain a first initial predicted operating temperature. The external factor processor standardizes the target operating condition information of the target power electronic circuit dynamically monitored based on predetermined external factor characteristics to obtain a target external factor coefficient. The first initial predicted operating temperature and the target external factor coefficient are input to the prediction calibrator to obtain a first prediction calibration result. The first prediction calibration result is used as the first predicted operating temperature.

[0057] The first characteristic information typically concerns inherent characteristics or state information of power electronic devices, such as resistance, capacitance, current, and voltage. The target operating condition information for the target power electronic circuit refers to various external conditions that the power electronic device may encounter in its actual operating environment, such as ambient temperature, humidity, wind speed, and load variations. The neural network predictor utilizes the powerful learning capabilities of neural networks 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 new first characteristic information is input, the neural network predictor outputs a first initial predicted operating temperature. The extrinsic factor processor is responsible for processing the dynamically monitored target operating condition information, which contains a lot of noise and uncertainty. Therefore, standardization processing is required to eliminate these interfering factors. The standardized information is converted into target extrinsic factor coefficients, which reflect the degree of influence of external conditions on the operating temperature of the power electronic device. The predictive calibrator calibrates the initial predicted operating temperature based on the target extrinsic coefficient. Since the operating temperature of power electronic devices is affected not only by their inherent characteristics but also by external conditions, calibration is necessary to improve prediction accuracy. The initial predicted operating temperature and the target extrinsic coefficient are input into the predictive calibrator. After calculation and adjustment, the first predicted calibration result, i.e., the first predicted operating temperature, is obtained. The first predicted operating temperature is a predicted value of the operating temperature of the power electronic device at a future point in time. It has important reference value for the operation management, fault diagnosis, and lifespan prediction of power electronic equipment. By integrating the advantages of a neural network predictor, an extrinsic processor, and a predictive calibrator, the above method achieves accurate prediction of the operating temperature of power electronic devices, providing strong support for the reliable operation of power electronic equipment.

[0058] The predetermined external factors include environmental conditions, material conditions, and layout conditions.

[0059] Environmental conditions primarily include the temperature, humidity, air pressure, and wind speed of the environment in which power electronic devices are located. These factors directly affect the heat dissipation performance of power electronic devices, thus influencing their operating temperature. For example, high-temperature environments may lead to poor heat dissipation, causing the device's temperature to rise. The external factor processor dynamically monitors these environmental conditions and standardizes them to obtain corresponding target external factor coefficients. These coefficients reflect the degree of influence of environmental conditions on the operating temperature of power electronic devices. Material condition characteristics involve the material properties used in the manufacturing process of power electronic devices, such as thermal conductivity, coefficient of thermal expansion, and insulation. These material properties determine the heat transfer and distribution within the device, thus affecting its operating temperature. Different material conditions may lead to different operating temperatures for power electronic devices under the same operating conditions. Therefore, these material condition characteristics must be considered when predicting operating temperature. The external factor processor calculates the corresponding target external factor coefficients based on these material condition characteristics and inputs them 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 heat transfer and heat dissipation between devices, thus affecting their operating temperature. For example, if the spacing between components is too small, heat may accumulate, causing the component temperature to rise. Similarly, an inadequate heat dissipation design can also lead to poor heat dissipation and increased component temperature. The extrinsic factor processor comprehensively considers these layout characteristics and calculates the corresponding target extrinsic factor coefficients. These coefficients are used to calibrate the initial predicted operating temperature output by the neural network predictor, thereby improving prediction accuracy. By comprehensively considering environmental, material, and layout characteristics using the above method, the operating temperature of power electronic devices can be predicted more accurately. This is of great significance for the operation management, fault diagnosis, and lifespan prediction of power electronic equipment.

[0060] A capacitor operation impact analysis function is introduced to analyze the multi-dimensional operation characteristics of the target capacitor and obtain the target feedback coefficient.

[0061] In power electronic systems, capacitors are a crucial component, and their operating state significantly impacts the overall system performance and stability. To more accurately predict the operating temperature of power electronic devices, including capacitors, a capacitor operating influence analysis function can be introduced. This function analyzes the multidimensional operating characteristics of the target capacitor and outputs a target feedback coefficient. The multidimensional operating characteristics of the target capacitor are defined. These characteristics may include the capacitor's voltage, current, temperature, charge / discharge rate, and aging degree. These characteristics reflect the capacitor's performance under different operating conditions. A capacitor operating influence analysis function is designed, which takes the multidimensional operating characteristics of the capacitor as input and outputs a target feedback coefficient. This coefficient represents the degree of influence of the capacitor's current operating state on the overall system performance or temperature prediction model. By introducing the capacitor operating influence analysis function and obtaining the target feedback coefficient, the accuracy and reliability of power electronic device operating temperature prediction can be improved.

[0062] The target capacitor is subjected to operational feature acquisition in the charging and discharging dimension to obtain the target charging and discharging energy loss; the target capacitor is subjected to operational feature acquisition in the filtering dimension to obtain the target filtering feature, which includes the target filtering capacity and the target filtering ESR value; the target capacitor is subjected to operational feature acquisition in the voltage regulation dimension to obtain the target voltage regulation feature, which includes the target voltage regulation capacity and the target voltage regulation ESR value; the target capacitor is subjected to operational feature acquisition in the decoupling dimension to obtain the target noise suppression rate; the target charging and discharging energy loss, the target filtering capacity, the target filtering ESR value, the target voltage regulation capacity, the target voltage regulation ESR value, and the target noise suppression rate together constitute the target multidimensional operational feature.

[0063] The acquisition of operational characteristics at the charge / discharge dimension involves using specialized testing equipment or circuits to cycle the target capacitor through charge and discharge. During this process, changes in current, voltage, and time are recorded. Based on this data, the energy loss during charge and discharge is calculated—essentially, an integral operation of current and voltage—to obtain the energy changes during charging and discharging. The acquisition of operational characteristics at the filtering dimension involves acquiring the target filter capacity and target filter ESR value. A target capacitor is connected to the filtering circuit, and a signal of a specific frequency and amplitude is applied. Using equipment such as an oscilloscope or spectrum analyzer, the voltage and current waveforms across the capacitor are measured, and the filter capacity and ESR value are extracted from the waveform data. Filter capacity is typically 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 acquisition of operational characteristics at the voltage regulation dimension involves acquiring the target voltage regulation capacity and target voltage regulation ESR value. A target capacitor is connected to a voltage regulation circuit, such as a power management circuit, and the output voltage and current of the circuit are measured under different load conditions. By analyzing the stability of the output voltage, such as changes in ripple voltage and current, the voltage regulation performance of the capacitor is evaluated. The voltage regulator capacity and voltage regulator ESR value can be determined by comparing them with standard or expected values. Operational characteristics of the decoupling dimension are collected by connecting the target capacitor in a decoupling circuit, such as power supply decoupling in a digital circuit. Noise levels in the circuit are measured using noise measurement equipment, such as a noise analyzer. Noise levels are measured with and without the target capacitor, and the noise suppression effect of the capacitor is obtained by comparing the two measurements. The target noise suppression rate can be expressed as the percentage reduction in noise level. The collected data on target charge / discharge energy loss, target filter capacity, target filter ESR value, target voltage regulator capacity, target voltage regulator ESR value, and target noise suppression rate are integrated to form a dataset containing multi-dimensional information. This dataset represents the target capacitor's multi-dimensional operational characteristics, which comprehensively reflects the capacitor's performance in different application scenarios. Analysis of these multi-dimensional operational characteristics allows for a more accurate evaluation of the target capacitor's performance and provides strong data support for subsequent prediction models or optimization algorithms.

[0064] The expression for the capacitor operation impact analysis function is as follows:

[0065] ;

[0066] in, The target capacitor refers to The target feedback coefficient, This refers to the target charge / discharge energy loss, used to characterize the target charge / discharge feedback coefficient for the operating temperature of power electronic devices. Used to characterize the target filtering capacity and the target filtered ESR value The 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 coefficient for the operating temperature of power electronic devices. The target decoupling feedback coefficient is used to characterize the target noise suppression rate in relation to the operating temperature of the power electronic device. This refers to the target capacitor. Performed The first of the characteristics of the next operation monitoring Secondary monitoring characteristics This refers to the adjustment coefficient, and .

[0067] When defining the expression for the capacitor operation impact analysis function, multiple parameters and variables need to be considered. These parameters and variables represent the performance characteristics of the capacitor in different operational dimensions and their impact on the operating temperature of power electronic devices. The expression for the capacitor operation impact analysis function is as follows:

[0068] ;

[0069] in, The target capacitor refers to The target feedback coefficient represents the overall impact of capacitor operation on the operating temperature of power electronic devices. This refers to the target charge / discharge energy loss, used to characterize the target charge / discharge feedback coefficient for the operating temperature of power electronic devices, and is obtained through actual charge / discharge tests. Used to characterize the target filtering capacity and the target filtered ESR value The target filter feedback coefficient, used to characterize the impact of the target filter capacity and target filter ESR value on the operating temperature of power electronic devices, can be calculated through performance testing of the filter circuit. Used to characterize the target voltage regulation capacity and the target regulated ESR value The target voltage regulation feedback coefficient for the operating temperature of power electronic devices characterizes the impact of target voltage regulation capacity and target voltage regulation ESR value on the operating temperature of power electronic devices. This can be calculated through performance testing of the voltage regulator circuit. The target decoupling feedback coefficient, used to characterize the effect of the target noise suppression rate on the operating temperature of the power electronic device, is used to characterize the impact of the target noise suppression rate on the operating temperature of the power electronic device. This refers to the target capacitor. Performed The first of the characteristics of the next operation monitoring Secondary monitoring characteristics This refers to the adjustment coefficient, and Using the above method, the impact analysis function for capacitor operation is obtained.

[0070] like Figure 2 As shown, a trend analysis is performed on the first operation monitoring feature time series generated based on the sub-operation monitoring features to obtain a first trend feature; the feedback coefficient prediction model is retrieved to analyze the first trend feature to obtain a predicted feedback coefficient; and the target power electronic circuit is subjected to predictive temperature regulation based on the conformity judgment result of the predicted feedback coefficient to the feedback coefficient limit.

[0071] The target operation monitoring feature time series includes charging and discharging energy loss time series, filter capacity time series, filter ESR value time series, voltage regulation capacity time series, voltage regulation ESR value time series and noise suppression rate time series.

[0072] 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 denoted as the first operation detection feature time series. Examples include charging / discharging energy loss time series, filter capacity time series, and filter ESR value time series. Each target operation monitoring feature time series is analyzed sequentially. For example, 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 outliers. Through trend analysis, a 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 or a downward trend, used to describe the overall changing trend of the first operation monitoring feature time series. Once the first trend feature is obtained, it can be input into a feedback coefficient prediction model for analysis. The feedback coefficient prediction model is a machine learning model trained 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 operating conditions based on the input trend feature. This predictive feedback coefficient is used to assess the impact of capacitors on the operating temperature of power electronic circuits. Based on the predicted feedback coefficient and the results of the feedback coefficient limit assessment, i.e., determining whether the predicted feedback coefficient exceeds or falls below the preset limit range, predictive temperature regulation can be performed on the target power electronic circuit. If the predicted feedback coefficient exceeds the upper limit, it indicates that the capacitor may generate a significant thermal effect on the circuit under current or future operating conditions. In this case, the circuit temperature can be reduced by lowering the operating voltage or increasing heat dissipation measures. If the predicted feedback coefficient is below the lower limit, it indicates that the capacitor has a relatively small impact on the circuit temperature under current or future operating conditions. In this case, heat dissipation measures can be optimized to reduce unnecessary energy loss. In the management and optimization of power electronic circuits, trend analysis of the operating characteristics of key components such as capacitors, combined with the feedback coefficient prediction model, can effectively perform predictive temperature regulation, thereby improving the stability and reliability of the system.

[0073] The first predicted operating temperature is corrected by combining the target feedback coefficient to obtain the first target operating temperature.

[0074] A trend analysis is performed on the first operation monitoring feature time series generated based on the sub-operation monitoring features to obtain a first trend feature. The feedback coefficient prediction model is then invoked to analyze the first trend feature, yielding a predicted feedback coefficient that reflects the actual impact of components such as capacitors on the circuit's operating temperature. The first predicted operating temperature is corrected using the target feedback coefficient. The specific correction method may vary depending on the application scenario, but it can typically 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, where the feedback coefficient is given in the form of a temperature difference. The calculation result is obtained, which is the first target operating temperature. This first target operating temperature can then be used in the temperature management system of power electronic circuits, for example, as the basis for temperature control strategies or as a threshold for temperature alarms.

[0075] When the first target operating temperature does not meet the operating temperature limit of the power electronic device, the temperature regulation equipment group is activated.

[0076] The temperature regulation equipment group includes a heating device and a cooling device. When the first target operating temperature is lower than the operating temperature limit of the power electronic device, the heating device is activated to regulate the temperature of the first power electronic device. When the first target operating temperature is higher than the operating temperature limit of the power electronic device, the cooling device is activated to regulate the temperature of the first power electronic device.

[0077] In temperature management of power electronic systems, ensuring that the operating temperature of power electronic devices remains within a safe range is crucial. When the predicted initial target operating temperature does not meet the operating temperature limits of the power electronic devices, the corresponding temperature regulation equipment group needs to be activated for temperature adjustment. The initial target operating temperature is calculated through the aforementioned trend analysis and feedback coefficient correction. This initial target operating temperature is then compared with the operating temperature limits of the power electronic devices. Operating temperature limits typically include minimum and maximum temperature limits, which are designed to ensure that the power electronic devices operate within a safe temperature range. If the initial target operating temperature is lower than the minimum operating temperature limit of the power electronic devices, the temperature of the power electronic devices needs to be increased. In this case, heating equipment in the temperature regulation equipment group, such as heaters or hot air blowers, is activated to heat the power electronic devices until their temperature reaches or exceeds the minimum operating temperature limit. If the initial target operating temperature is higher than the maximum operating temperature limit of the power electronic devices, the temperature of the power electronic devices needs to be decreased. In this case, cooling equipment in the temperature regulation equipment group, such as cooling fans or water cooling systems, is activated to cool the power electronic devices until their temperature drops below the maximum operating temperature limit. During temperature regulation, it is necessary to continuously monitor the temperature changes of power electronic devices to ensure that the temperature regulation equipment is working effectively and that the temperature of the power electronic devices remains within a safe range. By employing the methods described above, the operation of power electronic devices within a safe temperature range is ensured, thereby improving their operational stability and reliability.

[0078] The temperature of the first power electronic device in the target power electronic circuit is regulated by the temperature regulation equipment group.

[0079] Based on a comparison between the target operating temperature and the operating temperature limit of the power electronic device, the decision is made to activate either the heating or cooling equipment in the temperature regulation equipment group. The first power electronic device requiring temperature regulation is then accurately located within the target power electronic circuit. This is typically done using circuit diagrams, equipment labels, or physical location information. If the target operating temperature is lower than the minimum operating temperature limit of the power electronic device, the heating equipment, such as a heater or hot air blower, is activated to heat the first power electronic device. The heating equipment should be placed in a location that can directly or indirectly increase the temperature of the target power electronic device, ensuring effective heat transfer. If the target operating temperature is higher than the maximum operating temperature limit of the power electronic device, the cooling equipment, such as a cooling fan or water cooling system, is activated to cool the first power electronic device. The cooling equipment should be configured to remove excess heat generated by the power electronic device, ensuring the device temperature is reduced to a safe range. Through this method, the temperature of the first power electronic device in the target power electronic circuit is effectively regulated, ensuring its operation within a suitable temperature range and improving the stability and reliability of the circuit.

[0080] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0081] The embodiments described above are merely examples of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. An adaptive temperature control system for power electronic devices, characterized in that, include: A target power electronic circuit acquisition module is used to acquire a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor; A predetermined characteristic index reading module is used to read predetermined characteristic indexes and collect the characteristics of the first power electronic device among the plurality of power electronic devices based on the predetermined characteristic indexes to obtain first characteristic information. A predicted operating temperature acquisition module is used to input the first characteristic information into a device temperature prediction model to obtain the first predicted operating temperature of the first power electronic device. The target feedback coefficient acquisition module is used to introduce a capacitor operation impact analysis function to analyze the target multidimensional operation characteristics of the target capacitor and obtain the target feedback coefficient. A temperature correction module is used to correct the first predicted operating temperature by combining the target feedback coefficient to obtain the first target operating temperature; Temperature regulation equipment group activation module, the temperature regulation equipment group activation module is used to activate the temperature regulation equipment group when the first target operating temperature does not meet the operating temperature limit of the power electronic device; A temperature regulation module, wherein the temperature regulation module is used to regulate the temperature of the first power electronic device in the target power electronic circuit through the temperature regulation device group; The predetermined characteristic index includes a module, wherein the predetermined characteristic index includes at least the following: switching speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance, and energy efficiency. A target charge / discharge energy loss acquisition module is used to collect the operational characteristics of the target capacitor in the charge / discharge dimension to obtain the target charge / discharge energy loss. The target filtering feature acquisition module is used to collect the working features of the target capacitor in the filtering dimension to obtain the target filtering features, which include the target filtering capacity and the target filtering ESR value. The target voltage regulation feature acquisition module is used to collect the operational features of the target capacitor in the voltage regulation dimension to obtain the target voltage regulation feature, which includes the target voltage regulation capacity and the target voltage regulation ESR value. The target noise reduction rate acquisition module is used to collect the decoupling dimension operation features of the target capacitor to obtain the target noise reduction rate. The target charging and discharging energy loss, the target filtering capacity, the target filtering ESR value, the target voltage regulation capacity, the target voltage regulation ESR value, and the target noise suppression rate together constitute the target multi-dimensional operating characteristics. The analysis function module, which is used to perform the expression of the capacitor operation impact analysis function, is as follows: ； in, The target capacitor refers to The target feedback coefficient, This refers to the target charge / discharge energy loss, used to characterize the target charge / discharge feedback coefficient for the operating temperature of power electronic devices. Used to characterize the target filtering capacity and the target filtered ESR value The 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 coefficient for the operating temperature of power electronic devices. The target decoupling feedback coefficient is used to characterize the target noise suppression rate in relation to the operating temperature of the power electronic device. This refers to the target capacitor. Performed The first of the characteristics of the next operation monitoring Secondary monitoring characteristics This refers to the adjustment coefficient, and .

2. The system according to claim 1, characterized in that, The system also includes: The model includes modules, which are used to build the device temperature prediction model, which is composed of a neural network predictor, an external factor processor, and a prediction calibrator. The characteristic information analysis module is used to analyze the first characteristic information through the neural network predictor to obtain the first initial predicted operating temperature. The target external factor coefficient acquisition module is used to standardize the target operating condition information of the target power electronic circuit dynamically monitored based on predetermined external factor characteristics through the external factor processor to obtain the target external factor coefficient. A prediction calibration result acquisition module is used to input the first initial predicted operating temperature and the target extrinsic coefficient into the prediction calibrator to obtain a first prediction calibration result. A predictive operating temperature module is used to take the first prediction calibration result as the first predicted operating temperature.

3. The system according to claim 2, characterized in that, The system includes: The predetermined external factor feature includes a module, which is used for the predetermined external factor feature including environmental condition features, material condition features, and layout condition features.

4. The system according to claim 1, characterized in that, The system includes: A temperature regulation device module is provided, wherein the temperature regulation device group includes 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 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 device is activated to regulate the temperature of the first power electronic device.

5. The system according to claim 1, characterized in that, The system also includes: A trend analysis module is used to perform trend analysis on the time series of the first operation monitoring feature in the target operation monitoring feature generated based on the sub-operation monitoring features, and obtain the first trend feature; The prediction feedback coefficient module is used to retrieve the feedback coefficient prediction model to analyze the first trend feature and obtain the prediction feedback coefficient. A predictive temperature control module is used to predictively control the temperature of the target power electronic circuit based on the result of the conformity assessment of the predicted feedback coefficient to the limit value.

6. The system according to claim 5, characterized in that, The system includes: The target operation monitoring timing module includes a module for monitoring the target operation's characteristic timing, which includes charging and discharging energy loss timing, filtering capacity timing, filtering ESR value timing, voltage regulation capacity timing, voltage regulation ESR value timing, and noise suppression rate timing.

7. An adaptive temperature regulation method for power electronic devices, characterized in that, include: Obtain a target power electronic circuit, wherein the target power electronic circuit includes multiple power electronic devices and a target capacitor; Read predetermined characteristic indicators, and collect characteristic data on the first power electronic device among the plurality of power electronic devices based on the predetermined characteristic indicators to obtain first characteristic information; The first characteristic information is input into the device temperature prediction model to obtain the first predicted operating temperature of the first power electronic device. A capacitor operation impact analysis function is introduced to analyze the multi-dimensional operation characteristics of the target capacitor and obtain the target feedback coefficient. The first predicted operating temperature is corrected by combining the target feedback coefficient to obtain the first target operating temperature; When the first target operating temperature does not meet the operating temperature limit of the power electronic device, the temperature regulation equipment group is activated. The temperature of the first power electronic device in the target power electronic circuit is regulated by the temperature regulation equipment group. The predetermined characteristic indicators include at least the switching speed, on-state voltage drop, blocking voltage, current capacity, thermal resistance, and energy efficiency. The target capacitor is subjected to operation feature acquisition in the charging and discharging dimension to obtain the target charging and discharging energy loss; The target capacitor is subjected to operation feature acquisition in the filtering dimension to obtain target filtering features, which include target filtering capacity and target filtering ESR value; The target capacitor is subjected to voltage regulation dimension operation feature acquisition to obtain target voltage regulation features, which include target voltage regulation capacity and target voltage regulation ESR value; The target capacitor is subjected to decoupling dimension operation feature acquisition to obtain the target noise suppression rate; The target charging and discharging energy loss, the target filtering capacity, the target filtering ESR value, the target voltage regulation capacity, the target voltage regulation ESR value, and the target noise suppression rate together constitute the target multi-dimensional operating characteristics. The expression for the capacitor operation impact analysis function is as follows: ； in, The target capacitor refers to The target feedback coefficient, This refers to the target charge / discharge energy loss, used to characterize the target charge / discharge feedback coefficient for the operating temperature of power electronic devices. Used to characterize the target filtering capacity and the target filtered ESR value The 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 coefficient for the operating temperature of power electronic devices. The target decoupling feedback coefficient is used to characterize the target noise suppression rate in relation to the operating temperature of the power electronic device. This refers to the target capacitor. Performed The first of the characteristics of the next operation monitoring Secondary monitoring characteristics This refers to the adjustment coefficient, and .

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