Electronic transformer adaptive heat dissipation control method and system based on temperature rise prediction

Abstract

The application discloses an electronic transformer adaptive heat dissipation control method and system based on temperature rise prediction and relates to the technical field of heat dissipation control. The electronic transformer adaptive heat dissipation control method based on temperature rise prediction comprises the following steps: S1, collecting heat dissipation disturbance data, and performing pretreatment and channel mapping operation; S2, performing sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude and the physical temperature rise change value; S3, performing temperature rise credibility evaluation by comprehensively considering the heat zone heating power, the measured temperature change, the sampling disturbance value and the fan start-stop number; and S4, outputting the heat dissipation joint control state according to the temperature rise credibility token, the temperature rise credibility shielding token, the overload retention state word and the entry mask. The method solves the problem that the existing fan PWM speed regulation disturbance is easy to enter the temperature sampling link, leading to temperature rise trend misjudgment, fan reverse speed regulation and heat dissipation control oscillation.

Description

Technical Field

[0001] This invention relates to the field of heat dissipation control technology, specifically to an adaptive heat dissipation control method and system for electronic transformers based on temperature rise prediction. Background Technology

[0002] Electronic transformers are widely used in power conversion, lighting drives, industrial power supplies, and power regulation equipment. During operation, heat is generated in the windings, core, power devices, and busbar connections due to current transmission, magnetic flux changes, and switching losses. The internal temperature of the electronic transformer fluctuates dynamically with changes in load, switching frequency, and ambient airflow conditions. To ensure the electronic transformer operates within a safe temperature range, existing technologies typically place temperature sampling points near the windings, core, power devices, and heat sink surface, and combine this with fan PWM duty cycle adjustment for heat dissipation control. Current electronic transformer heat dissipation control methods generally generate fan upshift, hold, or downshift control commands based on temperature sampling values, temperature change slope, temperature limits, and fan speed feedback. When the sampled temperature rises, the control side increases the fan PWM duty cycle to enhance heat dissipation; when the sampled temperature falls or stabilizes, the control side decreases the fan PWM duty cycle to reduce energy consumption and noise. This control method is simple to implement and can meet basic heat dissipation requirements in scenarios with stable temperature sampling links, minimal fan power supply disturbances, and minimal structural vibration.

[0003] For example, invention patent CN111766777B discloses a PID controller and control method. The PID controller includes: an error calculation unit for calculating the error value based on the input controlled variable and the output feedback variable; an error change rate calculation unit for calculating the error change rate based on the error value; a fuzzy control unit for receiving the error value and the error change rate, and adaptively tuning the PID parameters of the PID controller using fuzzy rules, outputting the change in the PID parameters; an expert control unit for receiving the error value and the error change rate, and obtaining the initial values ​​of the PID parameters using an expert knowledge base; and a PID control unit for obtaining the PID parameter values ​​based on the initial values ​​and changes in the PID parameters during each PID calculation, and calculating the control output variable for the controlled object based on the PID parameter values. This invention achieves dual tuning of the PID parameters through expert control, fuzzy control, and the PID controller, thereby improving the control accuracy and performance of the PID controller.

[0004] For example, invention patent CN110045617B discloses an advanced control method for predictive industrial process constraints, including the following steps: Step 1, establishing a single-input single-output model of the industrial process; Step 2, designing an industrial process controller. This invention designs a novel advanced control method for predictive industrial process constraints through model building, controller design, and algorithm design. This method can comprehensively consider multiple factors and improve the control performance of the system.

[0005] However, in existing heat dissipation control processes, the fan PWM speed control link, temperature sampling link, and control power supply link are typically located within the same control board or the same equipment housing. Fan start-up and shutdown, PWM duty cycle switching, and fan commutation introduce power supply ripple, ground potential shift, electromagnetic coupling, structural vibration, and airflow disturbances. These disturbances can be transmitted to the temperature sensor and sampling circuit through power paths, signal paths, mounting structures, and air duct paths, causing transient jumps in temperature sampling values, increased short-term noise, and abnormal local temperature slopes. Existing temperature rise prediction methods often directly use the sampled temperature as the basis for calculating the temperature rise trend, making it difficult to distinguish whether the temperature jump originates from actual heat accumulation changes or fan speed control disturbances. When a temperature sampling jump is misjudged as a true temperature rise inflection point, the control side may generate a reverse speed control command based on an incorrect temperature rise trend, causing the fan PWM duty cycle to frequently switch between increasing, holding, and decreasing. This process further amplifies power supply ripple, structural vibration, and airflow fluctuations, further interfering with the temperature sampling link and creating a closed-loop amplification between control actions and measurement noise. This can easily lead to control oscillations, frequent fan starts and stops, increased energy consumption, increased noise, and prolonged temperature stabilization time. Under overload conditions, if disturbance jumps cause inaccurate judgment of temperature rise trends, the heat dissipation control may also incorrectly reduce the heat dissipation intensity, affecting the heat dissipation response capability of the electronic transformer during critical heat load stages.

[0006] Therefore, in order to address the above problems, there is an urgent need for an adaptive heat dissipation control method and system for electronic transformers based on temperature rise prediction. Summary of the Invention

[0007] Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an adaptive heat dissipation control method and system for electronic transformers based on temperature rise prediction. This solves the problem that existing fan PWM speed regulation disturbances easily enter the temperature sampling link, leading to misjudgment of temperature rise trends, reverse speed regulation of fans, and oscillations in heat dissipation control.

[0008] Technical solution To achieve the above objectives, the present invention provides the following technical solution: an adaptive heat dissipation control method for electronic transformers based on temperature rise prediction, comprising: S1, collecting heat dissipation disturbance data, preprocessing the heat dissipation disturbance data, and performing channel mapping operations; S2, performing sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude, and the physical temperature rise change value, and performing sampling isolation, trigger time rewriting, and anti-jitter locking according to the sampling disturbance analysis results; S3, performing a reliable temperature rise assessment by comprehensively considering the heat generation power of the hot zone, the measured temperature change, the sampling disturbance value, and the number of fan start-stop cycles, and performing token generation, entry mask generation, and overload holding flag generation according to the reliable temperature rise assessment results; S4, outputting the heat dissipation control status based on the reliable temperature rise token, the reliable temperature rise shielding token, the overload holding status word, and the entry mask, and performing command dequeueing, downgrading shielding, and acknowledgment verification according to the heat dissipation control results.

[0009] Further, the specific steps for collecting heat dissipation disturbance data are as follows: Collect heat dissipation disturbance data: Read the previous effective value of the PWM duty cycle, the target value of the PWM duty cycle, the PWM duty cycle switching time, and the duty cycle execution receipt from the fan PWM control terminal; read the fan speed measurement pulse frequency, the fan target speed, the number of fan start-stop cycles, and the start-stop reference cycles from the fan feedback terminal; read the multi-point temperature sampling sequence, temperature sampling timestamp, temperature sampling jump amplitude, and measured temperature change from the temperature sampling link; read the sampling power supply ripple amplitude and the control board ground potential offset amplitude from the sampling power supply link; read the effective value of the shell vibration acceleration from the structural disturbance acquisition terminal; read the sudden change value of the air outlet wind speed and the inlet air temperature from the air duct detection terminal; read the estimated heat generation power, allowable temperature upper limit, current temperature, and equivalent heat capacity corresponding to the winding hot zone, magnetic core hot zone, power device hot zone, and radiator hot zone from the thermal behavior analysis terminal; read the estimated winding loss, magnetic core loss, power device loss, and busbar connection loss from the loss calculation terminal; and read the control cycle duration and prediction cycle duration from the control parameter terminal.

[0010] Furthermore, the specific steps for preprocessing and channel mapping of the heat dissipation disturbance data are as follows: Time alignment, channel mapping, abnormal segment removal, and reference amplitude processing are performed on the heat dissipation disturbance data; observation window numbers are generated based on the temperature sampling timestamp, PWM duty cycle switching time, and control cycle number; five disturbance channels are established based on the PWM duty cycle switching time, sampling power supply ripple amplitude, control board ground potential offset amplitude, effective value of casing vibration acceleration, and sudden change value of airflow speed at the vent, and disturbance amplitude and reference amplitude are generated for each disturbance channel; temperature sampling jumps are generated based on the difference between adjacent sampling points in the multi-point temperature sampling sequence. The amplitude is calculated by mapping the current temperatures of the winding hot zone, core hot zone, power device hot zone, and radiator hot zone to the current temperatures of each hot zone, and generating the measured temperature change of each hot zone based on the temperature difference between adjacent observation windows. The estimated winding loss, core loss, power device loss, and busbar connection loss are added together to obtain the total estimated heat generation power. The adjacent temperatures of the winding, core, power devices, and radiator surface are extracted from the multi-point temperature sampling sequence. The maximum value of the four temperature values ​​is taken as the current representative temperature, and the allowable temperature limit is calculated by subtracting the current representative temperature from the allowable temperature limit to obtain the allowable temperature rise limit.

[0011] Furthermore, the specific steps for sampling disturbance analysis based on the disturbance amplitude, temperature sampling jump amplitude, and physical temperature rise change value of the disturbance channel are as follows: Obtain the disturbance amplitude, reference amplitude, temperature sampling jump amplitude, control cycle duration, total estimated heating power, current representative temperature, inlet air temperature, equivalent heat capacity, and allowable temperature rise limit of the disturbance channel; divide the disturbance amplitude of each disturbance channel by the sum of the reference amplitude and the smallest positive number of the corresponding disturbance channel to obtain the channel normalized disturbance term; square the five channel normalized disturbance terms respectively, and sum the five squared terms... The square root operation is performed to obtain the composite value of the disturbance channel; the current representative temperature is subtracted from the inlet air temperature and multiplied by the equivalent heat transfer coefficient to obtain the heat transfer power value; the total estimated heating power is subtracted from the heat transfer power value, multiplied by the control cycle duration, and then divided by the sum of the equivalent heat capacity and the minimum positive number to obtain the physical temperature rise change value; the absolute value of the difference between the temperature sampling jump amplitude and the physical temperature rise change value is taken and then divided by the sum of the temperature rise allowable limit and the minimum positive number to obtain the jump deviation value; the composite value of the disturbance channel is multiplied by the constant plus the jump deviation value to obtain the sampling disturbance value.

[0012] Furthermore, the specific steps for performing sampling isolation, trigger time rewriting, and anti-jitter locking based on the sampling disturbance analysis results are as follows: By comparing the sampling disturbance value and the disturbance threshold in real time, when the sampling disturbance value is less than the disturbance threshold, the generation permissions for the PWM duty cycle state machine's upshift candidate instruction, hold candidate instruction, and delayed downshift instruction are granted; when the sampling disturbance value is greater than or equal to the disturbance threshold, a temperature sampling isolation window index is generated centered on the PWM duty cycle switching time, and the temperature jump within the isolation window is removed from the temperature rise trend slope recursive sequence; the temperature sampling trigger time is rewritten to the PWM duty cycle hold area. During this process, the temperature data of the stable observation window before the isolation window is read, the heating power, equivalent heat transfer coefficient, inlet air temperature and equivalent heat capacity are estimated, and the end temperature of the stable observation window before the isolation window is used as the starting point for recursion. According to the heat balance recursion relationship, the corrected temperature value at each sampling moment in the isolation window is generated to form a corrected temperature sequence. When the sampled disturbance value is greater than or equal to the disturbance threshold n times in the same control batch, the anti-jitter lock flag is written into the PWM duty cycle state machine to lock the minimum holding time of the fan duty cycle. The downshift instruction is written into the delayed execution queue to prevent the disturbance jump from triggering the fan reverse speed regulation instruction.

[0013] Further, the specific steps for conducting a reliable temperature rise assessment based on the combined heating power of the hot zones, measured temperature changes, sampling disturbance values, and fan start / stop counts are as follows: Obtain the estimated heating power, current temperature, inlet air temperature, equivalent heat capacity, prediction cycle duration, control cycle duration, allowable temperature rise limit, total estimated heating power, sampling disturbance value, measured temperature changes, fan start / stop counts, and start / stop baseline counts for each hot zone; subtract the inlet air temperature from the current temperature and multiply by the equivalent heat transfer coefficient to obtain the heat transfer power value; subtract the heat transfer power value from the estimated heating power to obtain the net heat input value; multiply the net heat input value by the prediction cycle duration and divide by the sum of the equivalent heat capacity and the minimum positive number; if the obtained value is less than zero, take zero; if the obtained value is greater than or equal to zero, retain the original value to obtain the predicted temperature rise; add the predicted temperature rise values ​​of the four hot zones and divide by the sum of the allowable temperature rise limit and the minimum positive number to obtain the heat accumulation support value; calculate the total estimated heating power... Subtract the total estimated heat generation power from the previous observation window from the rate. If the difference is less than zero, take zero; if the difference is greater than or equal to zero, retain the original value. Divide the result by the sum of the total estimated heat generation power from the previous observation window and the minimum positive number to obtain the heat generation growth support value. Multiply the net heat input value by the control cycle duration and divide by the sum of the equivalent heat capacity and the minimum positive number to obtain the physical temperature rise value. Subtract the physical temperature rise value from the measured temperature change and take the absolute value to obtain the thermal deviation value. Add the thermal deviation values ​​of the four hot zones and divide by the sum of four times the allowable temperature rise limit and the minimum positive number to obtain the thermal deviation reduction value. Divide the number of fan start-ups and shutdowns by the sum of the start-up and shutdown baseline numbers and the minimum positive number to obtain the start-up and shutdown reduction value. Add constant one, the heat accumulation support value, and the heat generation growth support value to obtain the reliable support value. Add constant one, the sampling disturbance value, the thermal deviation reduction value, and the start-up and shutdown reduction value to obtain the reliable reduction value. Divide the reliable support value by the reliable reduction value to obtain the reliable temperature rise value.

[0014] Furthermore, the specific steps for token generation, entry mask generation, and overload retention marking based on the temperature rise confidence assessment results are as follows: By comparing the temperature rise confidence value and the confidence threshold in real time, when the temperature rise confidence value is greater than or equal to the confidence threshold, the observation window number, temperature rise confidence value, measured temperature change, predicted temperature rise, and heat generation support value are concatenated into a confidence token payload, and a temperature rise confidence token is obtained through hash digest operation; the initial state of the entry mask is 000, where the 0th, 1st, and 2nd bits correspond to the temperature change call entry, heat dissipation enhancement entry, and downgrade release entry, respectively, and the bit value is... A value of 1 indicates open, and a value of zero indicates closed; the entry mask is set to 111 to open the above three entry points; when the temperature rise confidence value is less than the confidence threshold, the observation window number, temperature rise confidence value, sampling perturbation value, and corrected temperature sequence summary are concatenated into a mask token payload, and the temperature rise confidence mask token is obtained through summary operation; the 0th bit of the entry mask is cleared to close the temperature jump call entry point; when the predicted temperature rise is greater than or equal to the heat accumulation threshold, an overload hold status word is generated, the 1st bit of the entry mask is set to 1, the 2nd bit of the entry mask is cleared to zero, the heat dissipation enhancement entry point is opened, and the downgrade release entry point is closed.

[0015] Furthermore, the specific steps for outputting the heat dissipation control status based on the temperature rise trusted token, temperature rise trusted shielding token, overload hold status word, and entry mask are as follows: Read the temperature rise trusted token, temperature rise trusted shielding token, overload hold status word, anti-jitter lock flag, and entry mask; perform token mutual exclusion judgment: when the temperature rise trusted token and temperature rise trusted shielding token satisfy the observation window number being consistent and the hash verification passing, it is determined to be valid, the temperature rise trusted shielding token is retained, and the temperature change call entry is closed; parse the temperature change call bit, heat dissipation enhancement bit, and downgrade release bit according to the entry mask to form the dequeue gate control bits for upgrade candidate instructions, hold candidate instructions, and delayed downgrade instructions; write priority flags for upgrade candidate instructions, hold candidate instructions, and delayed downgrade instructions according to the temperature rise level to which the predicted temperature rise amount belongs and the heat level to which the heat growth support value belongs.

[0016] Furthermore, the specific steps for executing the dequeueing, downshifting shielding, and acknowledgment verification of the instruction based on the heat dissipation control results are as follows: When the temperature rise trusted token is valid, the overload hold status word is not set, and the temperature change call bit is open, the candidate instruction with the priority marker at the top and the dequeueing gate bit open is determined as the instruction to be output; when the temperature rise trusted shielding token is valid, the temperature change call bit is closed, the downshifting path corresponding to the temperature jump is shielded, and the hold candidate instruction is output; when the overload hold status word is set, the heat dissipation enhancement bit is open, the downshifting release bit is closed, and the upshifting candidate instruction is output; when the anti-shake lock... When the flag is valid, the downshift release bit is turned off, and the dequeue permission for delayed downshift instructions is frozen; the absolute value of the PWM duty cycle target value carried by the instruction to be output is read by subtracting the actual duty cycle in the duty cycle execution receipt, and then added to the absolute value of the fan target speed minus the fan speed measurement pulse frequency to obtain the instruction execution deviation; if the instruction execution deviation exceeds the receipt deviation threshold, the instruction to be output is canceled and the last valid value of the PWM duty cycle is restored; if the instruction execution deviation does not exceed the receipt deviation threshold, the current PWM duty cycle output is confirmed, and the heat dissipation control instruction after disturbance isolation is issued.

[0017] Furthermore, the second aspect of the present invention provides an adaptive heat dissipation control system for electronic transformers based on temperature rise prediction, applying an adaptive heat dissipation control method for electronic transformers based on temperature rise prediction, comprising: a heat dissipation disturbance data acquisition and preprocessing module, used to acquire heat dissipation disturbance data, preprocess the heat dissipation disturbance data and perform channel mapping operations; a sampling disturbance injection analysis module, used to perform sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude and the physical temperature rise change value, and perform sampling isolation, trigger time rewriting and anti-jitter locking according to the sampling disturbance analysis results; a real temperature rise reliability assessment module, used to perform temperature rise reliability assessment by comprehensively considering the heat generation power of the hot zone, the measured temperature change, the sampling disturbance value and the number of fan start-stop times, and perform token generation, entry mask generation and overload holding mark according to the temperature rise reliability assessment results; and a disturbance isolation heat dissipation joint control output module, used to output the heat dissipation joint control status based on the temperature rise reliability token, the temperature rise reliability shielding token, the overload holding status word and the entry mask, and perform command dequeueing, downgrading shielding and acknowledgment verification according to the heat dissipation joint control results.

[0018] The present invention has the following beneficial effects: (1) This invention collects the PWM duty cycle switching time, the sampling power supply ripple amplitude, the control board ground potential offset amplitude, the effective value of the shell vibration acceleration, the sudden change value of the air outlet wind speed, and the multi-point temperature sampling sequence, and performs time alignment, channel mapping, and abnormal segment removal on the heat dissipation disturbance data, so that the fan speed regulation disturbance, power supply disturbance, structural disturbance and temperature sampling jump are associated data under the same observation window, thereby realizing the effect of the heat dissipation disturbance source being identifiable by channel, effectively solving the problem of the difficulty in identifying the source of temperature sampling jump in the prior art.

[0019] (2) In this invention, a sampling disturbance value is generated by the disturbance channel synthesis value, the physical temperature rise change value and the jump deviation value. The temperature sampling isolation window, the trigger time rewriting and the anti-jitter lock are controlled according to the sampling disturbance value, so that the temperature jump caused by the PWM duty cycle switching no longer directly updates the temperature rise trend slope. This achieves the effect of separating the disturbance noise from the real temperature rise change, and effectively solves the problem that the sampling jump is misjudged as the real temperature rise inflection point in the prior art.

[0020] (3) In this invention, the heat rise reliability assessment is carried out by the heat generation power of the hot zone, the measured temperature change of each hot zone, the sampling disturbance value and the number of fan start-stop times, and a heat rise reliability token, a heat rise reliability shielding token, an entry mask and an overload holding status word are generated, so that the heat dissipation decision input can be admitted based on the reliability status, thereby realizing the effect of reliable screening of the temperature rise prediction input, and effectively solving the problem of the distortion of the temperature rise prediction result due to the fan speed regulation disturbance in the prior art.

[0021] (4) In this invention, the temperature change call bit, heat dissipation enhancement bit and downshift release bit are controlled by the entry mask, and the dequeue permission of the delayed downshift instruction is constrained by the anti-jitter lock mark, so that the downshift path in the disturbance stage is shielded and the heat dissipation enhancement path in the overload stage remains open, thereby realizing the effect of controlled dequeue of PWM duty cycle candidate instructions, effectively solving the problem of control oscillation caused by frequent reverse speed regulation of the fan in the prior art.

[0022] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0023] Figure 1 This is a flowchart of the adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to the present invention. Figure 2 This is a structural diagram of the adaptive heat dissipation control system for electronic transformers based on temperature rise prediction, as described in this invention. Figure 3 This is a trend chart of sampling disturbance isolation control for the electronic transformer of the present invention; Figure 4 This is a comparison chart of reliable temperature rise changes under different disturbance treatment states of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figures 1-4 This invention provides a technical solution: an adaptive heat dissipation control method for electronic transformers based on temperature rise prediction, comprising: S1, collecting heat dissipation disturbance data, preprocessing the heat dissipation disturbance data and performing channel mapping operations; S2, performing sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude and the physical temperature rise change value, and performing sampling isolation, trigger time rewriting and anti-jitter locking according to the sampling disturbance analysis results; S3, performing temperature rise reliability assessment by comprehensively considering the heat generation power of the hot zone, the measured temperature change, the sampling disturbance value and the number of fan start-stop times, and performing token generation, entry mask generation and overload holding mark according to the temperature rise reliability assessment results; S4, outputting the heat dissipation joint control status based on the temperature rise reliability token, the temperature rise reliability shielding token, the overload holding status word and the entry mask, and performing command dequeueing, downgrading shielding and acknowledgment verification according to the heat dissipation joint control results.

[0026] Specifically, the steps for collecting heat dissipation disturbance data are as follows: Read the previous effective value of the PWM duty cycle, the target value of the PWM duty cycle, the PWM duty cycle switching time, and the duty cycle execution receipt from the fan PWM control terminal; read the fan speed measurement pulse frequency, the fan target speed, the number of fan start-stop cycles, and the start-stop reference cycle from the fan feedback terminal; read the multi-point temperature sampling sequence, temperature sampling timestamp, temperature sampling jump amplitude, and measured temperature change from the temperature sampling link; read the sampling power supply ripple amplitude and the control board ground potential offset amplitude from the sampling power supply link; read the effective value of the shell vibration acceleration from the structural disturbance acquisition terminal; read the sudden change value of the air outlet wind speed and the inlet air temperature from the air duct detection terminal; and read the estimated heat dissipation power, allowable temperature limit, current temperature, and equivalent heat capacity corresponding to the winding hot zone, magnetic core hot zone, power device hot zone, and radiator hot zone from the thermal behavior analysis terminal. The thermal behavior analysis terminal is located within the electronic transformer heat dissipation controller. The software calculation port receives data from the temperature sampling link, the air duct detection end, and the loss calculation end, and outputs thermal behavior parameters corresponding one-to-one with the winding hot zone, magnetic core hot zone, power device hot zone, and heat sink hot zone according to the hot zone number. The upper limit of the allowable temperature is determined by the electronic transformer thermal design document, device datasheet, and insulation temperature resistance level parameters. The winding hot zone, magnetic core hot zone, power device hot zone, and heat sink hot zone are bound according to the hot zone number to generate the allowable temperature rise limit of the corresponding hot zone. The equivalent heat capacity is determined by the heat capacity of the hot zone material, the hot zone mass, the package thermal conductivity structure parameters, and the thermal step test curve, respectively corresponding to the winding hot zone, magnetic core hot zone, power device hot zone, and heat sink hot zone, to characterize the heat accumulation capacity of the corresponding hot zone under unit temperature change. The estimated winding loss, estimated magnetic core loss, estimated power device loss, and busbar connection loss are read from the loss calculation end. The control cycle duration and prediction cycle duration are read from the control parameter end.

[0027] In this implementation scheme, data from the fan PWM control terminal, fan feedback terminal, temperature sampling link, sampling power supply link, structural disturbance acquisition terminal, duct detection terminal, thermal behavior analysis terminal, loss calculation terminal, and control parameter terminal are centrally collected. This enables the data on PWM duty cycle switching, fan speed feedback, temperature sampling jumps, power supply ripple, ground potential offset, casing vibration, sudden changes in airflow speed at the air outlet, inlet air temperature, estimated heat generation power of each hot zone, upper limit of allowable temperature, current temperature, and equivalent heat capacity to form a data foundation for heat dissipation disturbances under the same control cycle. By clarifying the sources of the thermal behavior analysis terminal, upper limit of allowable temperature, and equivalent heat capacity, subsequent sampling disturbance analysis, temperature rise reliability assessment, and heat dissipation joint control output have consistent data boundaries and parameter sources. This provides reliable data support for identifying whether fan PWM speed regulation disturbances enter the temperature sampling link, judging the reliability of actual temperature rise changes, and generating stable PWM duty cycle control commands.

[0028] Specifically, the preprocessing and channel mapping operations for heat dissipation disturbance data are as follows: Time alignment, channel mapping, abnormal segment removal, and reference amplitude processing are performed on the heat dissipation disturbance data. Time alignment uses the control clock corresponding to the control cycle number as the reference, converting the temperature sampling timestamp, PWM duty cycle switching time, sampling power supply ripple sampling time, control board ground potential offset sampling time, housing vibration sampling time, and vent airflow speed sampling time to the same time axis. Abnormal segment removal targets overflow of the original temperature sampling code value, sensor disconnection markers, sampling power supply ripple amplitude exceeding the ripple threshold for a duration equal to the ripple confirmation time, control board ground potential offset amplitude exceeding the ground offset threshold for a duration equal to the ground offset confirmation time, and housing vibration. For segments where the effective velocity value exceeds the vibration threshold and the duration reaches the vibration confirmation time, the abnormal segments are removed from the temperature rise trend slope recursive sequence and are supplemented by linear interpolation between the previous and subsequent effective sampled values ​​at the same measuring point. Observation window numbers are generated based on the temperature sampling timestamp, PWM duty cycle switching time, and control cycle number. Five disturbance channels are established based on the PWM duty cycle switching time, sampling power supply ripple amplitude, control board ground potential offset amplitude, effective value of shell vibration acceleration, and sudden change value of vent wind speed. The disturbance amplitude and reference amplitude of each disturbance channel are generated. The disturbance amplitude of the PWM duty cycle change channel is calculated by dividing the absolute amount of the duty cycle difference before and after the PWM duty cycle switching within the same observation window by the control cycle. The duration is obtained as follows: the disturbance amplitude of the sampling power supply ripple channel is obtained from the peak-to-peak value of the sampling power supply ripple amplitude within the observation window; the disturbance amplitude of the control board ground potential offset channel is obtained from the maximum absolute value of the control board ground potential offset amplitude within the observation window; the disturbance amplitude of the shell vibration channel is obtained from the effective value of the shell vibration acceleration; the disturbance amplitude of the vent wind speed change channel is obtained from the maximum absolute value of the vent wind speed difference at adjacent wind speed sampling times; and the reference amplitude of each disturbance channel is obtained from the median value of the amplitude of the corresponding disturbance channel within the fan duty cycle maintenance interval. The temperature sampling jump amplitude is generated based on the temperature difference at adjacent sampling times of the same temperature measurement point in the multi-point temperature sampling sequence, and four values ​​are taken: the temperature near the winding, the temperature near the magnetic core, the temperature near the power device, and the surface temperature of the heat sink. The maximum value among the jump amplitudes corresponding to each measurement point is taken as the temperature sampling jump amplitude within the observation window; the current temperatures of the winding hot zone, magnetic core hot zone, power device hot zone, and radiator hot zone are mapped to the current temperatures of each hot zone respectively, and the measured temperature change of each hot zone is generated based on the difference in the current temperatures of the same hot zone within adjacent observation windows; the estimated winding loss, estimated magnetic core loss, estimated power device loss, and busbar connection loss are added together to obtain the total estimated heat generation power; the adjacent winding temperature, adjacent magnetic core temperature, adjacent power device temperature, and radiator surface temperature are extracted from the multi-point temperature sampling sequence, and the maximum value among the four temperature values ​​is taken as the current representative temperature, and the allowable temperature limit of the hot zone corresponding to the current representative temperature is subtracted from the current representative temperature to obtain the allowable temperature rise limit;When the corresponding hot zone for the current representative temperature cannot be determined, the minimum value among the upper limits of the allowable temperatures of the winding hot zone, magnetic core hot zone, power device hot zone, and heat sink hot zone is taken as the safe upper limit. The allowable temperature rise limit is obtained by subtracting the current representative temperature from the safe upper limit. When the allowable temperature rise limit is less than the lower limit value, the allowable temperature rise limit is clamped to the lower limit value, and an over-temperature protection flag is generated to keep the heat dissipation enhancement inlet open in subsequent heat dissipation control.

[0029] In this implementation scheme, by unifying the temperature sampling, PWM duty cycle switching, power supply ripple, ground potential offset, casing vibration, and vent wind speed data within a unified control cycle, the rules for eliminating abnormal segments and the method for filling in the gaps are clarified. Different physical quantities are mapped to the disturbance amplitude and reference amplitude of five disturbance channels, enabling subsequent sampling disturbance analysis to compare the impact of PWM speed regulation, power supply ripple, ground offset, structural vibration, and sudden wind speed changes on the temperature sampling link within a unified observation window. At the same time, the temperature sampling jump amplitude is generated by the difference between adjacent sampling times at the same temperature measurement point. Combined with the current temperature of each hot zone, the measured temperature change, the total estimated heat generation power, the current representative temperature, and the allowable temperature rise limit, consistent, dimensionally normalized, and anomaly-eliminated input data is provided for subsequent sampling disturbance value calculation, temperature rise reliability assessment, and heat dissipation control output, thereby reducing the impact of disturbed temperature segments on the judgment of temperature rise trends.

[0030] Specifically, the steps for sampling disturbance analysis based on the disturbance amplitude, temperature sampling jump amplitude, and physical temperature rise change value of the disturbance channel are as follows: Obtain the disturbance amplitude, reference amplitude, temperature sampling jump amplitude, control cycle duration, total estimated heating power, equivalent heat transfer coefficient, current representative temperature, inlet air temperature, equivalent heat capacity, and allowable temperature rise limit of the disturbance channel; Specifically, the estimated heating power, current temperature, inlet air temperature, equivalent heat capacity, and temperature change rate per unit time of each hot zone are collected through a thermal step cooling test, and these values ​​are substituted into the heat balance relationship for heat transfer admittance identification to obtain the equivalent heat transfer coefficient of the r-th hot zone. The values ​​range from 0.05 to 5.00, with the winding hot zone at 0.10 to 1.20, the core hot zone at 0.08 to 1.00, the power device hot zone at 0.20 to 2.50, and the heat sink hot zone at 0.50 to 5.00. Temperature sampling jump amplitudes and physical temperature rise changes are unified under the same observation window number. The temperature sampling jump amplitude is taken as the absolute value of the difference between adjacent temperature sampling points within the same control cycle, and the physical temperature rise change value is taken as the value derived from the total estimated heating power and equivalent... The temperature change is calculated using the heat transfer coefficient, current representative temperature, inlet air temperature, and equivalent heat capacity. When the sampling interval changes, the temperature sampling jump amplitude is divided by the sampling interval and multiplied by the control cycle duration to obtain the control cycle normalized jump amplitude, ensuring that the temperature sampling jump amplitude and the physical temperature rise change value have the same time reference and temperature unit. The disturbance amplitude of each disturbance channel is divided by the sum of the reference amplitude and the minimum positive number of the corresponding disturbance channel to obtain the channel normalized disturbance term. The minimum positive number is determined by the lower limit of the controller's numerical accuracy and the sampling quantization resolution, and is a dimensionless positive value smaller than the minimum effective resolution of the reference amplitude, used to ensure that the denominator is non-zero and does not change the effective denominator's magnitude. The five channel normalized disturbance terms are squared respectively, and the sum of the five squared terms is then subjected to a square root operation to obtain the disturbance channel composite value. The current representative temperature is subtracted from the inlet air temperature and multiplied by the equivalent heat transfer coefficient to obtain the heat transfer power value. The total estimated heating power is subtracted from the heat transfer power value, multiplied by the control cycle duration, and then divided by the sum of the equivalent heat capacity and the minimum positive number. The physical temperature rise change value is obtained; the absolute value of the difference between the temperature sampling jump amplitude and the physical temperature rise change value is divided by the sum of the allowable temperature rise limit and the smallest positive number to obtain the dimensionless jump deviation value; constant 1 is used as the dimensionless reference term with a value of 1 to retain the basic contribution of the perturbation channel composite value when the jump deviation value is zero, and to make the jump deviation value only have an incremental amplification effect on the perturbation channel composite value; the perturbation channel composite value is multiplied by the result of constant 1 plus the jump deviation value to obtain the sampling perturbation value.

[0031] The specific formula for calculating the sampling perturbation value is as follows: ; In the formula, This represents the sampled disturbance value within the t-th observation window, reflecting the extent to which the fan PWM speed regulation action enters the temperature sampling link through power supply ripple, ground potential shift, structural vibration, and airflow disturbance; Indicates the disturbance channel number, where This indicates the PWM duty cycle variation channel. Indicates the sampling power supply ripple channel. This indicates the control board ground potential offset channel. Indicates the vibration channel of the shell. Indicates a channel where wind speed changes abruptly at the vent. This represents the disturbance amplitude of the q-th disturbance channel within the t-th observation window, reflecting the disturbance intensity of the corresponding disturbance channel within the current observation window; This represents the reference amplitude of the q-th disturbance channel, reflecting the amplitude reference of the corresponding disturbance channel; This indicates the magnitude of temperature sampling jumps, reflecting the degree of transient jumps in the temperature sampling link within the current observation window; It indicates the duration of the control cycle, reflecting the time length corresponding to one heat dissipation control calculation; It represents the total estimated heat output, reflecting the total heat input formed by the estimated winding losses, estimated core losses, estimated power device losses, and busbar connection losses; It represents the equivalent heat transfer coefficient, reflecting the heat transfer capacity formed by the fan, radiator, and air duct; This represents the current temperature, reflecting the current thermal state formed by the multi-point temperature sampling sequence. It indicates the intake air temperature and reflects the ambient thermal boundary at the heat dissipation inlet; It represents the equivalent heat capacity, reflecting the heat accumulation capacity inside the electronic transformer; It indicates the allowable temperature rise limit, reflecting the remaining space between the current represented temperature and the upper limit of the allowable temperature; It represents a very small positive number and is used to avoid the denominator being zero.

[0032] In this implementation scheme, by normalizing the five types of disturbance channels to a dimensionless scale and comparing the temperature sampling jump amplitude with the physical temperature rise change value within the same observation window, the injected influence of fan PWM switching, sampling power supply ripple, control board ground potential offset, casing vibration, and sudden changes in airflow speed on the temperature sampling link is aggregated into a sampling disturbance value. The sampling disturbance value characterizes both the combined intensity of the disturbance channels and the degree to which the temperature jump deviates from the actual thermal change. This provides a basis for judgment in subsequent temperature sampling isolation window index generation, temperature rise trend slope masking, sampling trigger time rewriting, and anti-jitter locking, thereby reducing the risk of disturbance jumps being mistakenly taken as the actual temperature rise inflection point and triggering reverse speed regulation of the PWM duty cycle.

[0033] Specifically, the steps for performing sampling isolation, trigger time rewriting, and anti-jitter locking based on the sampling disturbance analysis results are as follows: By comparing the sampling disturbance value and the disturbance threshold in real time, when the sampling disturbance value is less than the disturbance threshold, the generation permissions for the PWM duty cycle state machine's upshift candidate instruction, hold candidate instruction, and delayed downshift instruction are opened; when the sampling disturbance value is greater than or equal to the disturbance threshold, a temperature sampling isolation window index is generated with the PWM duty cycle switching time as the center. The width of this isolation window is set to 1.5 times the control cycle length, with the switching time delayed by 0.5 times the control cycle length before and 1.0 times the control cycle length after. The index boundary is truncated based on the absolute difference between the temperature sampling timestamp and the PWM duty cycle switching time to ensure that the isolation window completely covers the transient range of power supply ripple, vibration, and airflow disturbance caused by fan speed regulation, and removes temperature jumps within the isolation window from the temperature rise trend slope recursive sequence; the temperature sampling trigger time is rewritten to the PWM duty cycle hold interval, and the isolation window is read. The temperature data, estimated heating power, equivalent heat transfer coefficient, inlet air temperature, and equivalent heat capacity of the previous stable observation window are used as the starting point for recursion. Corrected temperature values ​​are generated for each sampling moment within the isolation window according to the heat balance recursion relationship, forming a corrected temperature sequence. Within the same control batch, the accumulated disturbance value is greater than or equal to the disturbance threshold n times, where n is the number of anti-jitter triggers, taken as 3. This is determined experimentally by the typical continuous control cycle number of transient jumps in the temperature sampling link caused by the fan PWM duty cycle switching. When the accumulated number reaches n, an anti-jitter lock flag is written into the PWM duty cycle state machine to lock the minimum hold time of the fan duty cycle. This minimum hold time is determined by the fan response time and the thermal inertia of the electronic transformer, specifically twice the control cycle duration, to ensure that the fan does not frequently switch states due to misjudgment during disturbances. Simultaneously, a downshift command is written into the delayed execution queue to prevent disturbance jumps from triggering reverse speed adjustment commands for the fan. Figure 3 As shown, this is a trend chart of sampling disturbance isolation control for the electronic transformer in this embodiment. The horizontal axis represents the control cycle number, and the vertical axis represents the sampling disturbance value. The chart includes the sampling disturbance value change curve and the disturbance threshold baseline. It also marks the temperature sampling isolation window and the anti-jitter lockout interval, clearly showing the disturbance changes caused by the switching of the fan PWM duty cycle, the disturbance threshold triggering conditions, and the entire process of the system performing sampling isolation and anti-jitter control. It intuitively reflects the effect of the disturbance isolation control strategy on suppressing sampling noise and improving the stability of heat dissipation control.

[0034] In this implementation scheme, by comparing the sampled disturbance value with the disturbance threshold in real time, dynamic identification and adaptive isolation of power supply ripple, vibration, and airflow disturbances introduced by the fan PWM speed regulation are achieved: when the sampled disturbance value is lower than the threshold, the generation permissions of the PWM duty cycle state machine for upshifting, downshifting, and holding commands are normally opened to ensure the sensitive response of heat dissipation control; when the sampled disturbance value reaches or exceeds the threshold, a temperature sampling isolation window is automatically generated with the PWM switching moment as the center, and the temperature jumps within the window are removed from the temperature rise trend slope recursive sequence, and the temperature sequence is reconstructed and corrected based on the thermal balance data of the previous stable observation window, effectively blocking the pollution of the true temperature rise trend by disturbances; at the same time, when disturbances occur consecutively within the same control batch to the number of anti-shake triggers, the anti-shake locking mechanism is triggered, forcibly locking the minimum holding time of the fan duty cycle and delaying the execution of the downshift command, fundamentally avoiding the reverse speed regulation command caused by disturbance jumps, thereby eliminating the amplification of control-measurement closed-loop disturbances and significantly improving the anti-disturbance robustness and speed regulation stability of the heat dissipation control system.

[0035] Specifically, the steps for a reliable temperature rise assessment based on the combined heating power of the hot zone, measured temperature changes, sampling disturbance values, and fan start / stop counts are as follows: Obtain the estimated heating power, current temperature, inlet air temperature, equivalent heat capacity, prediction cycle duration, control cycle duration, allowable temperature rise limit, total estimated heating power, sampling disturbance values, measured temperature changes, fan start / stop counts, and start / stop baseline counts for each hot zone; subtract the inlet air temperature from the current temperature and multiply by the equivalent heat transfer coefficient to obtain the heat transfer power value; subtract the heat transfer power value from the estimated heating power to obtain the net heat input value; multiply the net heat input value by the prediction cycle duration and divide by the sum of the equivalent heat capacity and a minimum positive number. When the obtained value is small... Zero is taken at time zero, and the original value is retained when the obtained value is greater than or equal to zero, thus obtaining the predicted temperature rise. The predicted temperature rise of the four hot zones is added together and then divided by the sum of the temperature rise allowance and the smallest positive number to obtain the heat accumulation support value. Here, the sum of the predicted temperature rise of the four hot zones and the temperature rise allowance are both in the dimension of temperature. The division gives a dimensionless ratio, which is used to characterize the proportion of the comprehensive heat accumulation of multiple hot zones relative to the remaining temperature rise margin. Although no separate weight is set for each hot zone, the equivalent heat capacity and heat transfer coefficient of each hot zone naturally reflect the differences in its predicted temperature rise calculation. Moreover, in actual engineering, the heat accumulation of windings and power devices has the most direct impact on heat dissipation decisions. This simplified structure helps to reduce the computational complexity. To reduce complexity and avoid introducing additional calibration parameters; subtract the total estimated heating power from the previous observation window, taking zero if the difference is less than zero and retaining the original value if the difference is greater than or equal to zero, then divide by the sum of the total estimated heating power from the previous observation window and the minimum positive number to obtain the heating growth support value; multiply the net heat input value by the control cycle duration, then divide by the sum of the equivalent heat capacity and the minimum positive number to obtain the physical temperature rise value; subtract the physical temperature rise value from the measured temperature change and take the absolute value to obtain the thermal deviation value; add the thermal deviation values ​​of the four hot zones, then divide by the sum of four times the allowable temperature rise limit and the minimum positive number to obtain the thermal deviation reduction value; divide the number of fan start-ups and shutdowns by the start-up and shutdown baseline number. The start-stop reduction value is obtained by summing the smallest positive number. The reliable support value is obtained by adding the constant 1, the heat accumulation support value, and the heat generation growth support value. Equal weighting is used here instead of weighted summation because the heat accumulation support reflects the current heat load pressure, while the heat generation growth support reflects the heat source change trend. Their contributions to the reliability of temperature rise are complementary under different operating conditions. Experiments show that the equal weighting combination can maintain the ability to identify the true temperature rise under various disturbance scenarios and avoids the subjective bias introduced by empirical weights. The reliable reduction value is obtained by adding the constant 1, the sampled disturbance value, the heat deviation reduction value, and the start-stop reduction value. The reliable support value is divided by the reliable reduction value to obtain the reliable temperature rise value.

[0036] The specific formula for calculating the reliable value of temperature rise is as follows: ; In the formula, This represents the confidence value of the temperature rise within the t-th observation window, reflecting the degree of confidence that the current temperature change belongs to real heat accumulation; Indicates the hot zone number, where Indicates the hot zone of the winding. Indicates the hot zone of the magnetic core. Indicates the hot zone of power devices. Indicates the hot zone of the radiator; This indicates the forecast period length, reflecting the length of time it takes to extrapolate the temperature rise forecast forward. This represents the estimated heat generation power of the r-th hot zone within the t-th observation window, reflecting the heat generation input of the corresponding hot zone; This represents the equivalent heat transfer coefficient corresponding to the r-th hot zone, reflecting the ability of the corresponding hot zone to release heat to the heat dissipation channel; This represents the current temperature of the r-th thermal zone, reflecting the current thermal state of the corresponding thermal zone; It indicates the intake air temperature and reflects the ambient thermal boundary at the heat dissipation inlet; This represents the equivalent heat capacity of the r-th thermal zone, reflecting the heat accumulation capacity of the corresponding thermal zone; This indicates the allowable temperature rise limit, reflecting the remaining space between the current representative temperature and the temperature limit. This represents the total estimated heat generation power within the t-th observation window, reflecting the total power generated by heat generation input from multiple heat zones; This represents the total estimated heat generation power of the previous observation window, reflecting the heat generation input baseline of the previous observation window; This represents the sampled disturbance value within the t-th observation window, reflecting the degree of disturbance injection into the temperature sampling link by the fan PWM speed regulation action; This represents the measured temperature change of the r-th thermal zone, reflecting the actual temperature change of the corresponding thermal zone within the current observation window; It indicates the duration of the control cycle, reflecting the time length corresponding to one heat dissipation control calculation; This represents the number of times the fan starts and stops within the t-th observation window, reflecting the intensity of the control disturbance caused by the fan's start and stop. This indicates the baseline number of start-stop cycles, reflecting the baseline number of normalized start-stop cycles for the wind turbine. This indicates a positive truncation operation, where x is taken when x is greater than zero, and zero is taken when x is less than zero. It represents a very small positive number and is used to avoid the denominator being zero.

[0037] Table 1 shows the heat dissipation control data of the electronic transformer based on reliable temperature rise in this embodiment. The total estimated heat generation power in the first scenario is 105.0, the total estimated heat generation power in the previous observation window is 103.0, the sampling disturbance value is 0.28, the estimated heat generation power of each hot zone is 48.0, 32.0, 35.0, and 10.0 respectively, the current temperatures of each hot zone are 75.0, 68.5, 77.0, and 54.0 respectively, the inlet air temperature is 24.0, the equivalent heat transfer coefficient is 1.20, the equivalent heat capacity of each hot zone is 300, 260, 250, and 180 respectively, the measured temperature changes of each hot zone are 1.20, 0.95, 1.35, and 0.50 respectively, the prediction cycle duration is 5, the control cycle duration is 2, the number of fan start / stop cycles is 0, the baseline start / stop cycle is 20, and the allowable temperature rise limit is 20. 0, the calculated temperature rise confidence value is 0.91; the total estimated heat generation power in the second scenario is 112.0, the total estimated heat generation power in the previous observation window is 105.0, the sampling disturbance value is 1.65, the estimated heat generation power of each hot zone is 44.0, 27.5, 31.5, and 9.0 respectively, the current temperature of each hot zone is 86.0, 79.0, 88.0, and 61.0 respectively, the inlet air temperature is 25.0, the equivalent heat transfer coefficient is 1.18, the equivalent heat capacity of each hot zone is 300, 260, 250, and 180 respectively, the measured temperature change of each hot zone is 3.50, 2.90, 3.70, and 1.20 respectively, the prediction cycle duration is 5, the control cycle duration is 2, the number of fan start-stops is 5, and the start-stop baseline is... The number of trials is 20, the allowable temperature rise limit is 15.0, and the calculated confidence value for temperature rise is 0.34. In the third scenario, the total estimated heat output is 118.0, the total estimated heat output in the previous observation window is 112.0, the sampling disturbance value is 0.58, the estimated heat output for each hot zone is 51.0, 34.0, 38.0, and 15.0, respectively, the current temperatures for each hot zone are 80.0, 73.5, 82.5, and 57.0, respectively, the inlet air temperature is 24.5, the equivalent heat transfer coefficient is 1.21, the equivalent heat capacity for each hot zone is 300, 260, 250, and 180, respectively, the measured temperature changes for each hot zone are 1.85, 1.45, 2.10, and 0.70, respectively, the prediction period is 5, and the control period is... With a length of 2, a fan start / stop count of 1, a start / stop baseline count of 20, and a temperature rise allowable limit of 18.0, the calculated temperature rise confidence value is 0.77. In the fourth scenario, the total estimated heat generation power is 152.0, the total estimated heat generation power in the previous observation window is 118.0, the sampling disturbance value is 0.45, the estimated heat generation power for each hot zone is 65.0, 42.0, 48.0, and 17.0, respectively, the current temperatures for each hot zone are 95.0, 88.0, 97.0, and 70.0, respectively, the inlet air temperature is 25.0, the equivalent heat transfer coefficient is 1.22, the equivalent heat capacity for each hot zone is 300, 260, 250, and 180, respectively, and the measured temperature changes for each hot zone are 2.80, 2.20, 3.10, and 1, respectively.40, prediction cycle length is 5, control cycle length is 2, fan start / stop count is 0, start / stop baseline count is 20, temperature rise allowable limit is 8.0, and the calculated temperature rise confidence value is 0.87.

[0038] Table 1. Data Table for Heat Dissipation Control of Electronic Transformers Based on Reliable Temperature Rise like Figure 4 As shown, this is a comparison chart of the reliable temperature rise changes under different disturbance handling states provided in the embodiments of this application. The horizontal axis represents the observation window number, and the vertical axis represents the reliable temperature rise value. The chart includes three curves: a stable disturbance scenario, a non-isolated disturbance scenario, and a disturbance isolation correction scenario. The black dashed line is the reliable threshold line, with a value of 0.65, used to determine whether the reliable temperature rise value is lower than the threshold to trigger the blocking token. (Refer to Table 1 and...) Figure 4 As can be seen, the temperature rise confidence value is 0.91 in the unperturbed stable scenario, corresponding to a high confidence state with low sampling disturbance value, small deviation between measured temperature change and physical temperature rise value, and zero fan start-stop frequency. In the unisolated disturbance scenario, the temperature rise confidence value drops to 0.34, corresponding to a low confidence state with increased sampling disturbance value, significant deviation of measured temperature change in each hot zone from physical temperature rise value, and increased fan start-stop frequency. At this time, the temperature rise confidence value is below the confidence threshold, triggering the temperature rise confidence shielding token. In the disturbance isolation correction scenario, the temperature rise confidence value rises back to 0.77, corresponding to a medium-to-high confidence state with decreased sampling disturbance value, reduced deviation of measured temperature change, and reduced fan start-stop frequency, indicating that the isolation window and corrected temperature sequence effectively suppress the disturbance effect. In the overload hold scenario, the temperature rise confidence value is 0.87, corresponding to a small allowable temperature rise limit but a significant increase in total estimated heat generation power. The heat generation growth is strongly supported, and the sampling disturbance value is low, so the confidence value remains at a high level. Table 1 compares the numerical changes of total estimated heat generation power, sampled disturbance value, measured temperature change of each hot zone, number of fan start-stop cycles, and temperature rise confidence value under four scenarios. It demonstrates the distinguishing role of temperature rise confidence value in scenarios of disturbance stability, disturbance not isolated, disturbance isolation correction, and overload maintenance, and provides data basis for temperature rise confidence token generation, temperature rise confidence shield token generation, and entry mask control.

[0039] In this implementation scheme, the predicted temperature rise and physical temperature rise value are calculated for each heat zone. Combined with the growth rate of total heat generation power, sampled disturbance value, measured temperature rise deviation, and fan start-up and shutdown frequency, a reliable temperature rise value that takes into account both heat accumulation support and multiple reduction factors is comprehensively constructed. This enables a quantitative assessment of whether the temperature change belongs to real heat accumulation or disturbance noise. When the reliable value is higher than the threshold, a reliable temperature rise token is generated and the temperature change call entry is opened. Otherwise, a shield token is generated and the corrected temperature sequence is used to participate in the heat dissipation decision. At the same time, under overload conditions, the overload hold status word is activated to force the opening of the heat dissipation enhancement entry, thereby preventing disturbance noise from being misjudged as the temperature rise inflection point from the source, avoiding the amplification of control-measurement closed-loop disturbances, and providing a stable and reliable input source for subsequent PWM duty cycle calculation.

[0040] Specifically, the steps for token generation, entry mask generation, and overload retention marking based on the temperature rise confidence assessment results are as follows: By comparing the temperature rise confidence value and the confidence threshold in real time, when the temperature rise confidence value is greater than or equal to the confidence threshold, the observation window number, temperature rise confidence value, measured temperature change, predicted temperature rise, and heat generation support value are concatenated into a confidence token payload. The measured temperature change refers to the measured temperature change of each of the four hot zones: winding, core, power device, and heat sink. A temperature rise confidence token is obtained through a hash digest operation. This digest operation is used to prevent token tampering, replay, or erroneous calls between different control batches, avoiding state crosstalk. The entry mask is a 3-bit binary number, initially set to 000. The bit sequence is defined starting from the 0th bit, where the 0th bit corresponds to the temperature change call entry, the 1st bit corresponds to the heat dissipation enhancement entry, and the 2nd bit corresponds to the downshift release entry. A bit value of 1 indicates... Open, with a value of 0 indicating closed; set the entry mask to 111 to open the above three entry points; when the temperature rise confidence value is less than the confidence threshold, concatenate the observation window number, temperature rise confidence value, sampling perturbation value, and corrected temperature sequence summary into a mask token payload. The payload explicitly includes a type identifier field to distinguish it from the confidence token. The temperature rise confidence mask token is obtained through the same hash digest operation; clear the 0th bit of the entry mask to close the temperature jump call entry point; when the predicted temperature rise is greater than or equal to the heat accumulation threshold, generate an overload hold status word, set the 1st bit of the entry mask to one, clear the 2nd bit of the entry mask to zero, open the heat dissipation enhancement entry point, and close the downgrade release entry point; during subsequent mutual exclusion determination, the observation window number, timestamp, and type identifier in the token payload are verified. If both the confidence token and the mask token are valid within the same observation window, the mask token is retained first, and the temperature change call entry point is closed.

[0041] In this implementation scheme, dynamic access control of the heat dissipation decision entry is achieved by comparing the temperature rise confidence value with the confidence threshold in real time: when the temperature rise confidence value meets the standard, a temperature rise confidence token carrying key information such as the observation window number and the measured temperature change is generated, and the entry mask is fully opened, allowing the three entry points of temperature change, heat dissipation enhancement, and downgrading to participate in the decision-making simultaneously; when the confidence value is insufficient, a shield token is generated and the temperature jump call entry is closed. At the same time, when the predicted temperature rise exceeds the limit, the overload hold status word is activated, the heat dissipation enhancement entry is forcibly opened and the downgrading entry is locked. This effectively avoids the erroneous reference of the temperature rise trend by disturbance noise, ensures that the input source of heat dissipation decision-making is safe and reliable in a disturbed environment, and prevents the control command from amplifying the reverse disturbance.

[0042] Specifically, the steps for outputting the heat dissipation control status based on the temperature rise trusted token, temperature rise trusted shielding token, overload hold status word, and entry mask are as follows: Read the temperature rise trusted token, temperature rise trusted shielding token, overload hold status word, anti-jitter lock flag, and entry mask; perform token mutual exclusion judgment: when the temperature rise trusted token and temperature rise trusted shielding token satisfy the observation window number being consistent and the hash verification passing, retain the temperature rise trusted shielding token and close the temperature change call entry; parse the temperature change call bit, heat dissipation enhancement bit, and downgrade release bit according to the entry mask to form the dequeue gate control bits for upgrade candidate instructions, hold candidate instructions, and delayed downgrade instructions; based on the predicted temperature rise amount... The temperature rise level and the temperature increase support value are assigned to different temperature rise levels. Priority flags are written for candidate commands to upgrade, hold, and delay downgrade. The temperature rise level is divided into three levels (Level 1, Level 2, and Level 3) by a first and a second temperature rise threshold. A predicted temperature rise less than the first threshold is assigned to Level 1; a predicted temperature rise greater than or equal to the first threshold but less than the second threshold is assigned to Level 2; and a predicted temperature rise greater than or equal to the second threshold is assigned to Level 3. Similarly, the temperature rise level is divided into three levels (Level 1, Level 2, and Level 3) by a first and a second temperature rise threshold. For the second and third heating levels, if the heating increase support value is less than the first heating level threshold, it is classified as the first heating level; if the heating increase support value is greater than or equal to the first heating level threshold but less than the second heating level threshold, it is classified as the second heating level; and if the heating increase support value is greater than or equal to the second heating level threshold, it is classified as the third heating level. When the overload hold status word is set, the upgrade candidate instruction is written to the first priority flag, the hold candidate instruction is written to the second priority flag, and the delayed downgrade instruction is written to the shield priority flag. When the temperature rise reliable shield token is valid, the hold candidate instruction is written to the first priority flag, the upgrade candidate instruction is written to the second priority flag, and the delayed downgrade instruction is written to the shield priority flag. The instruction is written to the mask priority flag; when the temperature rise trusted token is valid and the overload hold status word is not set, if the temperature rise level is the third temperature rise level or the heat level is the third heat level, then the upgrade candidate instruction is written to the first priority flag; if the temperature rise level is the second temperature rise level or the heat level is the second heat level, then the hold candidate instruction is written to the first priority flag; if the temperature rise level is the first temperature rise level and the heat level is the first heat level, and the downgrade release bit is open, then the delayed downgrade instruction is written to the first priority flag; when two candidate instructions have the same priority flag, the same-level conflict handling is performed in the order of upgrade candidate instruction, hold candidate instruction, and delayed downgrade instruction.

[0043] In this implementation scheme, priority tags are dynamically generated for three types of candidate instructions: up, hold, and delayed down. The priority tags are determined by token mutual exclusion judgment, entry mask parsing, and hierarchical mapping of temperature rise level and heat generation level. The final dequeue instruction order is determined by combining overload hold status word, mask token and other conditions. This achieves stable and orderly output of heat dissipation instructions under disturbed environment and different heat loads, effectively avoiding instruction malfunctions and control oscillations caused by priority conflict or level ambiguity.

[0044] Specifically, the steps for executing command dequeueing, downgrade shielding, and acknowledgment verification based on the thermal control results are as follows: When the temperature rise trust token is valid, the overload hold status word is not set, and the temperature change call bit is open, the upgrade candidate command, hold candidate command, and delayed downgrade command are arranged from front to back according to their priority tags. If the priority tags are the same, they are arbitrated at the same level according to the order of upgrade candidate command, hold candidate command, and delayed downgrade command, and the candidate command with the priority tag at the top and the dequeue gate bit open is determined as the output command; after the output command is determined, the corresponding candidate command is removed from the candidate command queue, and the priority tag and dequeue gate bit of the candidate command that has not been dequeued are retained; when the temperature rise trust shielding token is valid, the temperature change call bit is closed, the downgrade path corresponding to the temperature jump is shielded, and the hold candidate command is output; when the overload hold status word is set, the thermal enhancement bit is kept open, the downgrade release bit is closed, and the upgrade candidate command is output; when the anti-jitter lock token is set, the temperature change call bit is closed, the temperature change call bit is shielded, and the temperature change call bit is output; when the overload hold status word is set, the thermal enhancement bit is kept open, the downgrade release bit is closed, and the temperature change call bit is output; when the anti-jitter lock token is set, the temperature change call bit is closed, the temperature change call bit is closed, and the temperature change call bit is opened ... When valid, disable the downshift release bit and freeze the dequeue permission for delayed downshift commands; read the PWM duty cycle target value, the actual duty cycle in the duty cycle execution receipt, the fan target speed, and the fan speed measurement pulse frequency carried in the command to be output; first, obtain the actual fan speed based on the conversion relationship between the fan speed measurement pulse frequency and the fan speed; then, calculate the duty cycle execution deviation item by converting the absolute value of the difference between the PWM duty cycle target value and the actual duty cycle according to the duty cycle deviation benchmark; calculate the speed following deviation item by converting the absolute value of the difference between the fan target speed and the actual fan speed according to the speed deviation benchmark; add the duty cycle execution deviation item and the speed following deviation item to obtain the dimensionless command execution deviation; if the command execution deviation exceeds the receipt deviation threshold, cancel the command to be output and restore the last valid value of the PWM duty cycle; if the command execution deviation does not exceed the receipt deviation threshold, confirm the current PWM duty cycle output and complete the issuance of the heat dissipation control command after disturbance isolation.

[0045] In this implementation scheme, based on the status of the temperature rise trust token, shielding token, overload hold status word and anti-jitter lock flag, combined with the priority flag of candidate instructions and dequeue gating authority, the final output instruction is determined. The control accuracy of PWM duty cycle and fan speed is ensured by normalized instruction execution deviation verification. Under the conditions of disturbance isolation and anti-jitter lock, reliable issuance of heat dissipation control instructions is realized, effectively avoiding malfunctions and control oscillations.

[0046] Specifically, this embodiment provides an adaptive heat dissipation control system for electronic transformers based on temperature rise prediction, applied to an adaptive heat dissipation control method for electronic transformers based on temperature rise prediction. It includes a heat dissipation disturbance data acquisition and preprocessing module, used to acquire heat dissipation disturbance data, preprocess the data, and perform channel mapping operations. Specifically, it acquires PWM duty cycle switching time, duty cycle execution receipt, fan speed measurement pulse frequency, multi-point temperature sampling sequence, sampling power supply ripple amplitude, control board ground potential offset amplitude, effective value of casing vibration acceleration, and air outlet wind speed from the fan PWM control terminal, fan feedback terminal, temperature sampling link, sampling power supply link, structural disturbance acquisition terminal, air duct detection terminal, thermal behavior analysis terminal, loss calculation terminal, and control parameter terminal. The system collects abrupt change values, inlet air temperature, hot zone heating power, measured temperature change, control cycle duration, and prediction cycle duration. Through time alignment, abnormal segment removal, observation window number generation, and disturbance channel mapping, it provides a data foundation under the same control cycle for subsequent sampling disturbance analysis. The sampling disturbance injection analysis module performs sampling disturbance analysis based on the disturbance amplitude, temperature sampling jump amplitude, and physical temperature rise change value of the disturbance channel. Based on the sampling disturbance analysis results, it performs sampling isolation, trigger time rewriting, and anti-jitter locking. Specifically, it identifies the degree of disturbance injection into the temperature sampling link caused by PWM duty cycle switching, sampling power supply ripple, control board ground potential offset, casing vibration, and sudden changes in airflow speed at the vent. When the sampling disturbance value reaches the disturbance threshold, it generates a temperature sampling isolation... The off-window index removes temperature jumps within the isolation window from the temperature rise trend slope recursive sequence and generates a corrected temperature sequence using data from the previous stable observation window, reducing false triggering of the PWM duty cycle state machine by disturbance jumps. The true temperature rise reliability assessment module comprehensively assesses the reliability of temperature rise based on the heat generation power of the hot zone, the measured temperature change, the sampled disturbance value, and the number of fan start-stop cycles. Based on the reliability assessment results, it performs token generation, entry mask generation, and overload hold state word generation. Specifically, it determines whether the measured temperature change is supported by the heat generation power of the hot zone and the thermal balance relationship. When the temperature rise reliability value reaches the reliability threshold, a temperature rise reliability token is generated and the temperature change call entry is opened; when the temperature rise reliability value does not reach the reliability threshold, a temperature rise reliability masking order is generated. The system displays the temperature jump call entry and closes it. When the predicted temperature rise reaches the heat accumulation threshold, it generates an overload hold status word and keeps the heat dissipation enhancement entry open. The disturbance isolation heat dissipation joint control output module is used to output the heat dissipation joint control status based on the temperature rise trust token, temperature rise trust shield token, overload hold status word and entry mask. Based on the heat dissipation joint control result, it executes instruction dequeue, downgrade shield and acknowledgment verification. Specifically, it is used to parse the temperature change call bit, heat dissipation enhancement bit and downgrade release bit, control the dequeue permissions of upgrade candidate instruction, hold candidate instruction and delayed downgrade instruction, and combine the anti-jitter lock flag, PWM duty cycle target value, PWM duty cycle last valid value, fan speed measurement pulse frequency and duty cycle execution acknowledgment to complete the PWM duty cycle output confirmation or rollback processing.

[0047] In this implementation scheme, a unified data input foundation is established through a heat dissipation disturbance data acquisition and preprocessing module. A sampling disturbance injection analysis module identifies the disturbance effects on the temperature sampling link caused by PWM duty cycle switching, sampling power supply ripple, control board ground potential offset, casing vibration, and sudden changes in airflow speed at the vent. A real temperature rise reliability assessment module distinguishes whether the measured temperature change belongs to real heat accumulation or disturbance jump. A disturbance isolation heat dissipation joint control output module performs gating, downshifting shielding, and acknowledgment verification on upshift candidate commands, hold candidate commands, and delayed downshift commands. This prevents temperature sampling jumps from directly triggering fan reverse speed regulation, keeps the heat dissipation enhancement inlet open during overload phases, and improves the stability of PWM duty cycle output and the reliability of heat dissipation control response.

[0048] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0049] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An adaptive heat dissipation control method for electronic transformers based on temperature rise prediction, characterized in that, Includes the following steps: S1, collect heat dissipation disturbance data, and perform preprocessing and channel mapping operations on the heat dissipation disturbance data; S2 performs sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude, and the physical temperature rise change value. Based on the sampling disturbance analysis results, it performs sampling isolation, trigger time rewriting, and anti-jitter locking. S3, comprehensively considers the heating power of the hot zone, the measured temperature change, the sampled disturbance value and the number of fan start-stop times to conduct a reliable temperature rise assessment, and performs token generation, inlet mask generation and overload holding flag based on the reliable temperature rise assessment results; S4 outputs the heat dissipation control status based on the temperature rise trusted token, temperature rise trusted shielding token, overload holding status word and entry mask, and executes instructions to dequeue, downgrade shielding and acknowledgment verification according to the heat dissipation control results.

2. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for collecting heat dissipation disturbance data are as follows: Collect heat dissipation disturbance data: Read the previous effective value of PWM duty cycle, target value of PWM duty cycle, PWM duty cycle switching time and duty cycle execution receipt from the fan PWM control terminal; read the fan speed measurement pulse frequency, fan target speed, number of fan start-stop times and start-stop reference times from the fan feedback terminal; Read multi-point temperature sampling sequences, temperature sampling timestamps, temperature sampling jump amplitudes, and measured temperature changes from the temperature sampling link; Read the sampling power supply ripple amplitude and control board ground potential offset amplitude from the sampling power supply link; read the effective value of shell vibration acceleration from the structural disturbance acquisition end; read the air outlet wind speed change value and inlet air temperature from the air duct detection end; read the estimated heat generation power, allowable temperature limit, current temperature and equivalent heat capacity corresponding to the winding hot zone, magnetic core hot zone, power device hot zone and heat sink hot zone from the thermal behavior analysis end; Read the estimated winding loss, estimated core loss, estimated power device loss, and busbar connection loss from the loss calculation terminal; read the control cycle duration and prediction cycle duration from the control parameter terminal.

3. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for preprocessing and channel mapping the heat dissipation disturbance data are as follows: The heat dissipation disturbance data is processed by time alignment, channel mapping, abnormal segment removal, and reference amplitude processing; observation window numbers are generated based on temperature sampling timestamps, PWM duty cycle switching times, and control cycle numbers; five disturbance channels are established based on PWM duty cycle switching times, sampling power supply ripple amplitude, control board ground potential offset amplitude, effective value of casing vibration acceleration, and sudden change value of air outlet wind speed, and disturbance amplitude and reference amplitude are generated for each disturbance channel respectively; temperature sampling jump amplitude is generated based on the difference between adjacent sampling points in the multi-point temperature sampling sequence; the current temperatures of the winding hot zone, magnetic core hot zone, power device hot zone, and radiator hot zone are mapped to the current temperatures of each hot zone respectively, and the measured temperature change of each hot zone is generated based on the temperature difference between adjacent observation window hot zones; The estimated winding loss, core loss, power device loss, and busbar connection loss are added together to obtain the total estimated heat generation power. The temperature near the winding, core, power device, and radiator surface are extracted from the multi-point temperature sampling sequence. The maximum value of the four temperature values ​​is taken as the current representative temperature. The allowable temperature limit is calculated by subtracting the current representative temperature from the upper limit of the allowable temperature to obtain the allowable temperature rise limit.

4. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for sampling disturbance analysis based on the disturbance amplitude of the disturbance channel, the temperature sampling jump amplitude, and the physical temperature rise change value are as follows: Acquire the disturbance amplitude, reference amplitude, temperature sampling jump amplitude, control cycle duration, total estimated heating power, current representative temperature, inlet air temperature, equivalent heat capacity, and allowable temperature rise limit of the disturbance channel; Divide the disturbance amplitude of each disturbance channel by the sum of the reference amplitude and the smallest positive number of the corresponding disturbance channel to obtain the channel normalized disturbance term; Square the five normalized disturbance terms for each channel, sum the five squared terms, and then take the square root to obtain the composite value of the disturbance channels. Subtract the inlet air temperature from the current representative temperature and multiply it by the equivalent heat transfer coefficient to obtain the heat transfer power value. Subtract the heat transfer power value from the total estimated heating power, multiply it by the control cycle duration, and then divide it by the sum of the equivalent heat capacity and the minimum positive number to obtain the physical temperature rise change value. Take the absolute value of the difference between the temperature sampling jump amplitude and the physical temperature rise change value, and then divide it by the sum of the temperature rise allowable limit and the minimum positive number to obtain the jump deviation value. Multiply the composite value of the disturbance channels by the constant plus the jump deviation value to obtain the sampling disturbance value.

5. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for performing sampling isolation, trigger time rewriting, and anti-jitter locking based on the sampling perturbation analysis results are as follows: By comparing the sampled disturbance value and the disturbance threshold in real time, when the sampled disturbance value is less than the disturbance threshold, the generation permissions of the PWM duty cycle state machine for upshift candidate instructions, hold candidate instructions and delayed downshift instructions are enabled. When the sampled disturbance value is greater than or equal to the disturbance threshold, a temperature sampling isolation window index is generated with the PWM duty cycle switching time as the center. The temperature jump within the isolation window is removed from the temperature rise trend slope recursion sequence. The temperature sampling trigger time is rewritten to the PWM duty cycle holding interval. The temperature data of the previous stable observation window before the isolation window is read, the heating power, equivalent heat transfer coefficient, inlet air temperature and equivalent heat capacity are estimated. The end temperature of the previous stable observation window before the isolation window is used as the recursion starting point. The corrected temperature value of each sampling time within the isolation window is generated according to the heat balance recursion relationship to form a corrected temperature sequence. When the cumulative sampling disturbance value is greater than or equal to the disturbance threshold n times within the same control batch, write the anti-jitter lock flag into the PWM duty cycle state machine to lock the minimum hold time of the fan duty cycle, write the downshift instruction into the delayed execution queue, and prohibit the disturbance jump from triggering the fan reverse speed regulation instruction.

6. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for conducting a reliable temperature rise assessment based on the comprehensive thermal zone heating power, measured temperature change, sampling disturbance value, and fan start-stop frequency are as follows: Acquire the estimated heating power, current temperature, inlet air temperature, equivalent heat capacity, prediction cycle duration, control cycle duration, allowable temperature rise limit, total estimated heating power, sampled disturbance value, measured temperature change, number of fan start-ups and shutdowns, and start-up / shutdown baseline number for each hot zone; Subtract the inlet air temperature from the current temperature and multiply by the equivalent heat transfer coefficient to obtain the heat transfer power value; subtract the heat transfer power value from the estimated heating power to obtain the net heat input value; multiply the net heat input value by the prediction cycle duration and divide by the sum of the equivalent heat capacity and the minimum positive number, taking zero when the result is less than zero and retaining the original value when the result is greater than or equal to zero, to obtain the predicted temperature rise; add the predicted temperature rise values ​​of the four hot zones and divide by the sum of the temperature rise allowable limit and the minimum positive number to obtain the heat accumulation support value; subtract the total estimated heating power from the total estimated heating power of the previous observation window, taking zero when the difference is less than zero and retaining the original value when the difference is greater than or equal to zero, and then divide by the sum of the total estimated heating power of the previous observation window and the minimum positive number to obtain the heating growth support value; multiply the net heat input value by the control cycle duration and divide by the sum of the equivalent heat capacity and the minimum positive number to obtain the physical temperature rise value; Subtract the physical temperature rise from the measured temperature change and take the absolute value to obtain the thermal deviation value; add the thermal deviation values ​​of the four hot zones together and divide by the sum of four times the allowable temperature rise limit and the smallest positive number to obtain the thermal deviation reduction value. Divide the number of wind turbine start-ups and shutdowns by the sum of the baseline number of start-ups and shutdowns and the smallest positive number to obtain the start-up and shutdown reduction value; Adding the constant 1, the thermal accumulation support value, and the heat generation growth support value yields the reliable support value; Add the constant 1, the sampling disturbance value, the thermal deviation reduction value, and the start-stop reduction value to obtain the reliable reduction value; divide the reliable support value by the reliable reduction value to obtain the reliable temperature rise value.

7. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for performing token generation, entry mask generation, and overload retention flag generation based on the temperature rise reliability assessment results are as follows: By comparing the temperature rise confidence value and the confidence threshold in real time, when the temperature rise confidence value is greater than or equal to the confidence threshold, the observation window number, temperature rise confidence value, measured temperature change, predicted temperature rise, and heat generation support value are concatenated into a confidence token payload, and a temperature rise confidence token is obtained through hash digest operation; the initial state of the entry mask is 000, where the 0th, 1st, and 2nd bits correspond to the temperature change call entry, heat dissipation enhancement entry, and downgrade release entry, respectively. A bit value of 1 indicates that it is open, and a bit value of 0 indicates that it is closed; the entry mask is set to 111 to open the above three entry points; When the temperature rise confidence value is less than the confidence threshold, the observation window number, temperature rise confidence value, sampling perturbation value and corrected temperature sequence summary are concatenated into a masking token payload, and the temperature rise confidence masking token is obtained through summary operation; Clear the 0th bit of the entry mask to zero and close the temperature jump call entry; when the predicted temperature rise is greater than or equal to the heat accumulation threshold, generate an overload hold status word, set the 1st bit of the entry mask to one, clear the 2nd bit of the entry mask to zero, open the heat dissipation enhancement entry and close the downgrade release entry.

8. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for outputting the heat dissipation control status based on the temperature rise trusted token, temperature rise trusted shielding token, overload holding status word, and entry mask are as follows: Read the temperature rise trusted token, temperature rise trusted shield token, overload hold status word, debouncing lock flag, and entry mask, and perform token mutual exclusion judgment: when the temperature rise trusted token and temperature rise trusted shield token meet the conditions of consistent observation window number and hash verification pass, they are judged to be valid, the temperature rise trusted shield token is retained and the temperature change call entry is closed; according to the entry mask, the temperature change call bit, heat dissipation enhancement bit, and downgrade release bit are parsed to form the dequeue gating bits of upgrade candidate instruction, hold candidate instruction, and delayed downgrade instruction; according to the temperature rise level to which the predicted temperature rise amount belongs and the heat level to which the heat growth support value belongs, priority flags are written for upgrade candidate instruction, hold candidate instruction, and delayed downgrade instruction.

9. The adaptive heat dissipation control method for electronic transformers based on temperature rise prediction according to claim 1, characterized in that: The specific steps for executing commands for dequeueing, downgrading and shielding, and receipt verification based on the heat dissipation control results are as follows: When the temperature rise trusted token is valid, the overload hold status word is not set, and the temperature change call bit is open, the candidate instruction with the priority flag at the top and the dequeue gate bit open is determined as the instruction to be output; when the temperature rise trusted shield token is valid, the temperature change call bit is closed, the downshift path corresponding to the temperature jump is shielded, and the hold candidate instruction is output; when the overload hold status word is set, the heat dissipation enhancement bit is open, the downshift release bit is closed, and the upshift candidate instruction is output; when the anti-jitter lock flag is valid, the downshift release bit is closed, and the dequeue permission of the delayed downshift instruction is frozen. Read the absolute value of the PWM duty cycle target value carried by the instruction to be output, minus the actual duty cycle in the duty cycle execution receipt, and add the absolute value of the fan target speed minus the fan speed measurement pulse frequency to obtain the instruction execution deviation; if the instruction execution deviation exceeds the receipt deviation threshold, cancel the instruction to be output and restore the PWM duty cycle to the previous valid value. If the instruction execution deviation does not exceed the acknowledgment deviation threshold, the current PWM duty cycle output is confirmed, and the heat dissipation control instruction after disturbance isolation is issued.

10. An adaptive heat dissipation control system for electronic transformers based on temperature rise prediction, employing the adaptive heat dissipation control method for electronic transformers based on temperature rise prediction as described in any one of claims 1-9, characterized in that, include: The heat dissipation disturbance data acquisition and preprocessing module is used to acquire heat dissipation disturbance data, preprocess the heat dissipation disturbance data and perform channel mapping operations. The sampling disturbance injection analysis module is used to perform sampling disturbance analysis based on the disturbance amplitude, temperature sampling jump amplitude, and physical temperature rise change value of the disturbance channel. Based on the sampling disturbance analysis results, it performs sampling isolation, trigger time rewriting, and anti-jitter locking. The Real Temperature Rise Reliability Assessment Module is used to conduct a reliable temperature rise assessment by comprehensively considering the heating power of the hot zone, the measured temperature change, the sampled disturbance value, and the number of fan start-stop cycles. Based on the reliable temperature rise assessment results, it performs token generation, inlet mask generation, and overload holding flag generation. The disturbance isolation heat dissipation joint control output module is used to output the heat dissipation joint control status based on the temperature rise trusted token, temperature rise trusted shielding token, overload holding status word and entry mask, and execute commands to dequeue, downgrade shielding and acknowledgment verification according to the heat dissipation joint control results.

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