Antenna cavity radio frequency heat energy storage coupling recycling method and device

Abstract

The application discloses an antenna cavity radio frequency heat energy coupling recycling method and device, and relates to the technical field of green energy and energy recycling. The method comprises the following steps: constructing a temperature field and standing wave field coupling mapping, reconstructing radio frequency energy distribution, and making a high-loss area migrate along a preset path; constructing a phase change energy storage unit array on the migration path, inputting track and other features to predict the phase change process; combining the prediction with real-time temperature to generate heat conduction capacity and heat coupling on-off control parameters; controlling the energy storage array according to the parameters, and managing the power feedback cycle at the maximum power point. The technical problems of uneven heat energy distribution and lack of effective control means in the traditional antenna cavity radio frequency heating process, which leads to a large amount of radio frequency heat energy loss and low recovery efficiency, are solved. The technical effects of actively reconstructing the spatial distribution of radio frequency energy by constructing a coupling mapping relationship, accurately controlling the phase change energy storage unit by using dynamic control parameters, and improving the radio frequency heat energy recovery rate and energy recycling efficiency are achieved.

Description

Technical Field

[0001] This invention relates to the field of green energy and energy storage recycling technology, specifically to a method and apparatus for antenna cavity radio frequency thermal energy storage coupling recycling. Background Technology

[0002] Radio frequency (RF) heating technology, due to its advantages such as uniform heating, strong penetration, and high energy efficiency, has been widely used in hot film packaging, food processing, and material handling. However, in the actual RF heating process of hot film packaging machines, there is a complex nonlinear coupling relationship between the electromagnetic standing wave field distribution and the temperature field within the cavity, resulting in a non-uniform spatial distribution of high-loss regions in the RF energy. The location and intensity of these high-loss regions change dynamically with the heating process, but existing RF heating systems typically employ open-loop control or simple power regulation, which cannot actively control the spatial distribution of energy. This causes the high-loss regions to migrate uncontrollably and randomly, resulting in localized overheating, thermal stress concentration, and significant RF heat dissipation. Existing technologies attempt to introduce phase change energy storage materials to absorb and reuse RF waste heat. However, due to the complex spatial distribution, large fluctuations in heat input intensity, and unpredictable migration patterns of the high-loss regions, the energy storage unit cannot trigger a phase change at the appropriate moment when the heat source arrives, resulting in low energy storage efficiency and difficulty in effectively feeding the recovered energy back to the antenna power supply system to form a closed-loop recycling system. Summary of the Invention

[0003] This application provides a method and apparatus for the coupled recycling of radio frequency thermal energy storage in antenna cavities, which addresses the technical problem of large-scale loss of radio frequency thermal energy and low recovery efficiency due to uneven heat distribution and lack of effective control methods during the radio frequency heating process of traditional antenna cavities.

[0004] In view of the above problems, this application provides a method and apparatus for the coupled recycling of radio frequency thermal energy storage in antenna cavities.

[0005] The first aspect of this application provides a method for coupled and recycled use of radio frequency (RF) thermal energy storage in an antenna cavity. The method includes: constructing a coupling mapping relationship between the temperature field and the electromagnetic standing wave field within the cavity during the RF heating process of a hot-film packaging machine; actively reconstructing the spatial distribution of RF energy based on the coupling mapping relationship, causing a high-loss RF region to migrate in a controlled manner within the cavity along a preset path; constructing a discretely distributed phase-change energy storage unit array along the controlled migration path; inputting the spatial migration trajectory and energy input characteristics of the high-loss RF region into a phase-change response prediction model; performing feedforward prediction of the phase-change initiation time, phase-change rate, and heat capacity release process of each phase-change energy storage unit; establishing dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit based on the prediction results and the real-time temperature state of each phase-change energy storage unit; using the dynamic control parameters to execute energy storage control of the phase-change energy storage unit array; and performing energy feedback cycle management through maximum power point tracking.

[0006] A second aspect of this application provides an antenna cavity radio frequency thermal energy storage coupling recycling device, the device comprising: an energy space reconstruction module: during the radio frequency heating process of a hot film packaging machine, constructing a coupling mapping relationship between the temperature field and the electromagnetic standing wave field within the cavity, and actively reconstructing the spatial distribution of radio frequency energy based on the coupling mapping relationship, so that the high-loss radio frequency region performs controlled migration within the cavity along a preset path; a phase change process prediction module: constructing a discretely distributed phase change energy storage unit array along the controlled migration path, inputting the spatial migration trajectory and energy input characteristics of the high-loss radio frequency region into a phase change response prediction model, and performing feedforward prediction of the phase change initiation time, phase change rate, and heat capacity release process of each phase change energy storage unit; a control parameter establishment module: based on the prediction results and the real-time temperature state of each phase change energy storage unit, establishing dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit; and an energy feedback management module: using the dynamic control parameters to execute energy storage control of the phase change energy storage unit array, and performing energy feedback recycling management through maximum power point tracking.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: In the radio frequency (RF) heating process of a hot-film packaging machine, a coupling mapping relationship between the temperature field and the electromagnetic standing wave field within the cavity is constructed. Based on this coupling mapping relationship, the spatial distribution of RF energy is actively reconstructed, enabling the high-loss RF region to migrate in a controlled manner within the cavity along a preset path. A discretely distributed phase-change energy storage unit array is constructed along this controlled migration path. The spatial migration trajectory and energy input characteristics of the high-loss RF region are input into a phase-change response prediction model to predict the phase-change initiation time, phase-change rate, and heat release process of each phase-change energy storage unit. Based on the prediction results and the real-time temperature state of each phase-change energy storage unit, dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit are established. Energy storage control of the phase-change energy storage unit array is executed using these dynamic control parameters, and energy feedback loop management is performed through maximum power point tracking. This achieves the technical effect of actively reconstructing the spatial distribution of RF energy by constructing a coupling mapping relationship and precisely controlling the phase-change energy storage units using dynamic control parameters, thereby improving the RF heat recovery rate and energy recycling efficiency. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of the antenna cavity radio frequency thermal energy storage coupling recycling method provided in the embodiments of this application.

[0010] Figure 2 A schematic diagram of the antenna cavity radio frequency thermal energy storage coupling recycling device provided in the embodiments of this application.

[0011] Figure labeling: Energy space reconstruction module 11, phase change process prediction module 12, control parameter establishment module 13, power feedback management module 14. Detailed Implementation

[0012] This application provides a method and apparatus for the coupled recycling of radio frequency thermal energy storage in antenna cavities, which addresses the technical problem of large-scale loss of radio frequency thermal energy and low recovery efficiency due to uneven heat distribution and lack of effective control methods during the radio frequency heating process of traditional antenna cavities.

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] Example 1, as Figure 1 As shown, this application provides a method for the coupled recycling of radio frequency thermal energy storage in an antenna cavity, the method comprising: During the radio frequency heating process of the hot film packaging machine, a coupling mapping relationship between the temperature field and the electromagnetic standing wave field inside the cavity is constructed. Based on the coupling mapping relationship, the spatial distribution of radio frequency energy is actively reconstructed, so that the high-loss radio frequency region performs controlled migration within the cavity according to a preset path.

[0015] In one embodiment, during radio frequency (RF) heating in a hot-film packaging machine, an RF generator continuously inputs high-frequency electromagnetic energy at a fixed frequency into the antenna cavity. The electromagnetic waves propagate within the metal cavity and are reflected by the cavity wall, forming a stable electromagnetic standing wave field inside the cavity. Simultaneously, a temperature field is constructed within the cavity using a thermocouple array. Due to the high electric field strength at the antinodes of the standing wave, significant heat accumulation occurs in the film material and localized areas of the cavity located in this region, resulting in a high-loss RF region. To establish a coupling mapping relationship between the cavity temperature field and the electromagnetic standing wave field, a thermocouple array is installed at equal intervals along the length of the antenna cavity's inner wall. This array synchronously acquires temperatures at multiple fixed locations within the cavity and continuously records the real-time temperature values ​​of each measurement point according to a preset sampling period. The temperature rise rate of each measurement point is then calculated based on the temperature change between adjacent sampling times, and the location with the highest temperature rise rate is identified as the current heat concentration area. Subsequently, the standing wave field distribution data corresponding to the current output frequency of the RF generator is read, and the location of the standing wave antinodes is spatially mapped to the current heat concentration area. When a standing wave antinode location coincides with the location of the highest temperature rise rate, this location is marked as a high-loss RF region, thus establishing a coupling mapping relationship between the standing wave antinode location and the temperature field distribution. Then, based on the installation sequence of the phase change energy storage unit array within the cavity, the migration path of the high-loss RF region is pre-set, and the output frequency of the RF generator is gradually adjusted according to preset time intervals. Since different output frequencies correspond to different standing wave wavelengths, the position of the standing wave antinodes inside the cavity will shift with frequency changes; therefore, the high-loss RF region will move synchronously along the length of the cavity. During frequency adjustment, real-time temperature data from the thermocouple array is continuously received. When the temperature rise rate near the target energy storage unit reaches a preset threshold, the current output frequency is kept constant, allowing the high-loss RF region to remain stationary at that location, enabling the corresponding phase change energy storage unit to fully absorb heat. Once the stationary time reaches a set value, the output frequency is adjusted again, causing the standing wave antinode to move to the next energy storage unit location, thereby driving the high-loss RF region to migrate sequentially along a preset path. By continuously executing the above frequency adjustment and temperature feedback control process, the active reconstruction of the spatial distribution of RF energy is achieved, transforming the originally fixed local high-heat region into a controlled heat source moving along a predetermined trajectory. This enables controllable distribution of RF heat, creating conditions for the gradient heat absorption and thermal energy recycling of subsequent phase change energy storage units.

[0016] In one possible implementation, the temperature field inside the cavity is constructed by acquiring the temperature distribution of the cavity through a thermocouple array.

[0017] Preferably, multiple sets of thermocouple temperature measurement points are set on the inner wall of the antenna cavity along the film material conveying direction, and corresponding temperature measurement positions are selected in the width and height directions of the cavity, so that the thermocouple array covers the areas where heat is easily accumulated during the radio frequency heating process. After the hot film packaging machine starts radio frequency heating, each thermocouple synchronously collects the real-time temperature value of its location according to a unified sampling period, and the temperature data of each temperature measurement point is numbered and matched, mapping each temperature value to the actual spatial coordinates inside the cavity. Then, multiple temperature values ​​at the same sampling time are sorted to form discrete temperature distribution data of the cavity. Subsequently, the temperature gradient in different directions inside the cavity is calculated based on the temperature difference between adjacent temperature measurement points, and the temperature values ​​at the locations where thermocouples are not deployed are supplemented by interpolation calculation, thereby obtaining the continuous temperature distribution result inside the cavity. During the continuous radio frequency heating, the temperature, temperature rise rate and temperature gradient of each temperature measurement point are continuously updated in time sequence, so that the temperature field of the cavity is expanded from a static temperature distribution to a dynamic temperature field inside the cavity that changes with time, which is used to determine the location of heat concentration, temperature change trend and movement status of high-loss radio frequency areas inside the cavity.

[0018] A discretely distributed array of phase change energy storage units is constructed along a controlled migration path. The spatial migration trajectory and energy input characteristics of the high-loss radio frequency region are input into the phase change response prediction model to perform feedforward prediction of the phase change initiation time, phase change rate, and heat capacity release process of each phase change energy storage unit.

[0019] In one embodiment, after determining the controlled migration path of the high-loss RF region, multiple phase change energy storage units (PCEs) are sequentially arranged along the migration path, with each PCE corresponding to a heat capture location on the path. Each PCE is then numbered according to its installation coordinates. During RF heating operation, based on the spatial migration trajectory, the arrival time, dwell time, and temperature rise rate of the high-loss RF region near each PCE are recorded in real time. The heat intensity input to each PCE per unit time is calculated based on the temperature changes collected by the thermocouple array, forming a time-series thermal input characteristic sequence for each PCE. This time-series thermal input characteristic sequence is then passed to the cumulative analysis layer and phase change analysis layer of the phase change response prediction model for feedforward prediction, determining the phase change initiation time, phase change rate, and heat release process of the PCE. Through this feedforward prediction method, the thermal response state of each PCE can be known in advance, providing a predictive basis for subsequent heat conduction path adjustment, thermal coupling control, and thermoelectric conversion power management, making the absorption, storage, and release of RF thermal energy more stable and coordinated.

[0020] In one possible implementation, the spatial migration trajectory and energy input characteristics of the high-loss radio frequency region are input into a phase transition response prediction model, including: The spatial migration trajectory and energy input characteristics are decomposed and analyzed by the feature decomposition layer to extract the arrival time of the hot zone, residence time, and energy input intensity per unit time for each phase change energy storage unit, thus constructing a time-series heat input characteristic sequence. The cumulative analysis layer is activated to perform energy accumulation calculation on the time-series heat input characteristic sequence, obtaining the cumulative input energy curve that evolves over time. The cumulative input energy curve is compared with the phase change latent heat threshold of the corresponding phase change energy storage unit, and the moment when the cumulative input energy first triggers the phase change latent heat threshold is taken as the phase change initiation time. The phase change analysis layer is invoked to perform rate of change analysis on the energy input intensity per unit time, obtaining the heat input growth rate. Based on the correspondence between the heat input growth rate and the phase change latent heat consumption rate, the phase change interface propagation rate is calculated, and the phase change rate is input. Excess energy data is constructed based on the cumulative input energy curve. The excess energy data and residence time are used to perform analysis of the remaining heat release interval and release duration, establishing the heat capacity release process. The phase change initiation time, phase change rate, and heat capacity release process are output as prediction results.

[0021] Preferably, after receiving the spatial migration trajectory and energy input characteristics of the high-loss RF region, the phase change response prediction model calls its internal feature decomposition layer to decompose the spatial migration trajectory and energy input characteristics. Specifically, the center position of each phase change energy storage unit in the cavity is first used as a fixed calculation point, and a heat capture range is formed by expanding outward from this center position with a preset radius. When the center of the high-loss RF region first enters the heat capture range of a certain phase change energy storage unit, the moment is recorded as the arrival time of the heat zone; when the center of the high-loss RF region leaves the heat capture range, the moment is recorded as the departure time. The difference between the two is the dwell time. During the residence period, the temperature data of the thermocouple corresponding to the phase change energy storage unit is read, and the temperature rise rate is calculated according to the temperature difference between two adjacent sampling times. The temperature rise rate is then multiplied by the mass and specific heat capacity of the phase change energy storage material to obtain the input heat in that sampling period. This input heat is divided by the sampling period to obtain the energy input intensity per unit time. Then, according to the sampling time sequence, the arrival time of the hot zone, the residence time, and the energy input intensity per unit time of each sampling period are arranged to form the time-series thermal input characteristic sequence of the phase change energy storage unit. Subsequently, the time-series thermal input characteristic sequence is passed to the cumulative analysis layer, which accumulates the input heat of each sampling period item by item according to the sampling order. Specifically, the cumulative input energy in the first sampling period equals the input heat in the first sampling period. The cumulative input energy in the second sampling period equals the cumulative input energy in the previous period plus the input heat in the second sampling period, and so on, until the high-loss RF region leaves the phase change energy storage unit. A cumulative input energy curve, composed of multiple sampling times and cumulative input energy data points, is then formed in chronological order to characterize the evolution of energy absorption by the phase change energy storage unit over time. Next, the mass of the phase change energy storage material is multiplied by the latent heat of phase change per unit mass to calculate the latent heat threshold. When the cumulative input energy at a certain sampling time on the cumulative input energy curve first exceeds or equals the latent heat threshold, that sampling time is determined as the phase change initiation time. For the unit-time energy input intensity in the time-series heat input characteristic sequence, the phase change analysis layer uses this as a basis for rate-of-change analysis. Specifically, the unit-time energy input intensity is first multiplied by the current sampling period duration to obtain the total input heat to the phase change energy storage unit in the current sampling period. Then, the heat used to maintain material heating and heat dissipation losses is subtracted from the total input heat to obtain the effective phase change heat. Next, the effective phase change heat is divided by the latent heat required for phase change per unit volume to obtain the volume of material undergoing phase change during the sampling period. Then, the volume of material undergoing phase change is divided by the heat-receiving cross-sectional area of ​​the phase change energy storage unit to obtain the distance the phase change interface advances inward during the sampling period. By dividing this advancing distance by the sampling period, the phase change interface advancement rate during the sampling period can be obtained, and this phase change interface advancement rate is taken as the phase change rate.If the phase change state is in place for multiple consecutive sampling periods, the average value of the phase change interface propagation rate in each sampling period is taken as the predicted phase change rate of the phase change energy storage unit.

[0022] When leaving the phase change energy storage unit in the high-loss RF region, the final accumulated input energy is read from the accumulated input energy curve, and the phase change latent heat threshold is subtracted from the final accumulated input energy to obtain the excess energy data. If the excess energy data is less than or equal to zero, it is determined that the phase change energy storage unit has no obvious residual heat release process. If the excess energy is greater than zero, the excess energy is taken as the subsequent releasable heat. At this time, the excess energy is calculated to decrease according to the preset unit time release power. That is, after each sampling cycle, the heat released in that cycle is subtracted from the remaining releasable heat until the remaining releasable heat drops to zero. The moment when the remaining releasable heat begins to decrease is taken as the release start moment, and the moment when the remaining releasable heat drops to zero is taken as the release end moment. The time period between the two is taken as the remaining heat release interval, and the length of the release interval is taken as the release duration. The released heat values ​​corresponding to each sampling cycle constitute the heat capacity release process. Ultimately, the phase change response prediction model outputs the phase change start time, phase change rate, release start time, release end time, and heat release change sequence of each phase change energy storage unit as prediction results. These results are used for subsequent energy storage control, heat conduction path adjustment, and thermoelectric conversion power management, thereby improving the response accuracy and thermal energy utilization efficiency of the phase change energy storage unit to changes in radio frequency thermal energy.

[0023] In one possible implementation, activating the cumulative analysis layer and performing energy accumulation calculations on the time-series thermal input feature sequence further includes: The time-series thermal input feature sequence is reconstructed in segments according to the migration rhythm of the high-loss RF region, dividing the continuous input process into multiple discrete energy input sub-intervals corresponding to the residence period of the thermal zone; local energy input peaks and energy attenuation gradients are extracted in the discrete energy input sub-intervals to construct a segmented energy envelope sequence; the segmented energy envelope sequence is used to perform independent energy integration on each discrete energy input sub-interval, and thermal hysteresis compensation is introduced in adjacent discrete energy input sub-intervals to form a corrected cumulative input energy curve.

[0024] Optionally, in the cumulative analysis layer, to ensure the cumulative input energy curve more accurately represents the true energy accumulation state of the phase change energy storage unit during multiple heating processes, the time-series thermal input characteristic sequence is processed. Specifically, the moment when the high-loss radio frequency (RF) region enters the thermal capture range of a phase change energy storage unit is taken as the starting point of an energy input sub-interval, and the moment when the RF high-loss region leaves the thermal capture range is taken as the ending point of that sub-interval. When the RF high-loss region re-enters the thermal capture range of the same phase change energy storage unit according to its migration rhythm, a new energy input sub-interval is established. Thus, the originally continuously recorded unit-time energy input intensity is divided into multiple discrete energy input sub-intervals according to the thermal zone residence cycle of each entry, residence, and departure. Each discrete energy input sub-interval corresponds to an independent heating process of the phase change energy storage unit by the RF high-loss region. Within each discrete energy input sub-interval, the unit-time energy input intensity is read sequentially according to the sampling time. The unit-time energy input intensity with the largest value within the sub-interval is determined as the local energy input peak value, and the sampling time corresponding to this peak value is recorded. Subsequently, the energy input intensity per unit time at the last sampling moment is selected from the sampled data after the peak moment. The energy input intensity per unit time at the last sampling moment is subtracted from the local energy input peak value, and then divided by the time length between the peak moment and the last sampling moment to obtain the energy decay gradient of the discrete energy input sub-interval. Then, the start time, end time, local energy input peak value, peak moment, and energy decay gradient of each discrete energy input sub-interval are combined to obtain a segmented energy envelope data. The segmented energy envelope data corresponding to multiple discrete energy input sub-intervals are arranged in chronological order to form a segmented energy envelope sequence. Then, taking each discrete energy input sub-interval as an independent calculation object, the energy input intensity per unit time in each sampling period within the sub-interval is multiplied by the sampling period length to obtain the input heat in each sampling period. Then, these input heats are accumulated according to the sampling order to obtain the independent input energy of the discrete energy input sub-interval. For two adjacent discrete energy input sub-intervals, before the calculation of the next sub-interval begins, the remaining heat that was not fully released or diffused at the end of the previous sub-interval is read and added to the initial accumulated energy of the next sub-interval as a heat retention compensation. In this way, the next sub-interval no longer starts integrating from zero, but uses the heat retention compensation retained in the previous sub-interval as the initial value to continue accumulating the input heat in the next sub-interval.Finally, the corrected cumulative energy corresponding to each sampling time in each discrete energy input sub-interval is recorded sequentially as sampling time-corrected cumulative input energy data points, and these data points are connected in chronological order to form the corrected cumulative input energy curve. This curve reflects both the intermittent energy input caused by segmented residence in the high-loss RF region and retains the thermal hysteresis effect of the previous residence cycle. It can more accurately reflect the real energy accumulation process of the phase change energy storage unit under the intermittent migration condition of the high-loss RF region, and improve the accuracy of the prediction of the phase change start time and phase change process.

[0025] In one possible implementation, thermal hysteresis compensation is introduced into adjacent discrete energy input sub-intervals, including: Based on the difference between the total energy input of the previous discrete energy input sub-interval and the latent heat threshold of the corresponding phase change energy storage unit, the remaining latent heat corresponding to the incomplete phase change is determined, and a first compensation amount is constructed based on the remaining latent heat. The energy decay gradient at the end of the previous discrete energy input sub-interval is extracted, and the hysteresis degree of heat diffusion into the energy storage unit is analyzed using the energy decay gradient to construct a decay correction factor characterizing the heat retention intensity. Based on the first compensation amount and the decay correction factor, the heat retention compensation amount is calculated, and the heat retention compensation amount is superimposed on the initial energy state of the next discrete energy input sub-interval to correct the energy integration starting point of the corresponding discrete energy input sub-interval.

[0026] Optionally, when calculating the heat retention compensation, firstly, the total energy input of the previous discrete energy input sub-interval is read, and the latent heat threshold of the corresponding phase change energy storage unit is read. Then, the latent heat threshold is subtracted from the total energy input of the previous discrete energy input sub-interval to obtain the remaining latent heat corresponding to the incomplete phase change. If the difference is less than or equal to zero, it means that the energy input in the previous discrete energy input sub-interval has reached the phase change requirement, and the remaining latent heat is set to zero. If the difference is greater than zero, it means that there is still a latent heat gap in the phase change energy storage unit that has not completed the phase change, and the difference is taken as the remaining latent heat. Subsequently, the heat that is still retained in the energy storage unit at the end of the previous discrete energy input sub-interval and can continue to participate in the phase change of the next cycle is determined as the first compensation amount according to a certain proportion of the remaining latent heat. For example, the remaining latent heat is multiplied by a preset compensation ratio coefficient to obtain the first compensation amount, which is used to represent the basic heat continuity effect of the previous heating cycle on the subsequent heating cycle. Then, starting from the local energy input peak value within the previous discrete energy input sub-interval and ending at the unit time energy input intensity at the end of that sub-interval, the difference between the two is divided by the time length between the peak value and the end time to obtain the energy attenuation gradient. A large energy attenuation gradient indicates that the heat input decreases rapidly in a short time, with heat mainly remaining on the surface of the energy storage unit and a strong lag in diffusion inwards. A small energy attenuation gradient indicates that the heat input decreases slowly, allowing sufficient time for heat to diffuse into the energy storage unit, resulting in a relatively weak heat retention effect. Based on this energy attenuation gradient, an attenuation correction factor is determined using a tiered approach. Typically, when the energy attenuation gradient is greater than the first gradient threshold, a high correction value (e.g., 0.9) is set to increase the heat retention compensation. When the energy attenuation gradient is between the first and second gradient thresholds, a medium correction value (e.g., 0.6) is set. When the energy attenuation gradient is less than the second gradient threshold, a low correction value (e.g., 0.3) is set to reduce the heat retention compensation. Finally, the first compensation amount is multiplied by the attenuation correction factor to obtain the thermal retention compensation amount. This thermal retention compensation amount represents the heat that remains within the phase change energy storage unit after the previous discrete energy input sub-interval ends and can affect the energy accumulation starting point of the subsequent discrete energy input sub-interval. When a high-loss RF region is detected entering the heat capture range of the same phase change energy storage unit again after the previous sub-interval, the initial accumulated energy of the subsequent discrete energy input sub-interval is no longer set to zero. Instead, the thermal retention compensation amount is used as the initial energy state of the subsequent discrete energy input sub-interval. Based on this initial energy state, the input heat of each sampling period of the subsequent discrete energy input sub-interval is added, thereby correcting the energy integration starting point of the corresponding discrete energy input sub-interval and forming a corrected accumulated input energy curve that is closer to the true thermal accumulation state. Through the above method, the heat continuation effect between adjacent thermal input periods can be avoided, improving the authenticity of the accumulated input energy curve and the accuracy of the phase change prediction results.

[0027] Based on the prediction results and the real-time temperature status of each phase change energy storage unit, dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit are established.

[0028] In one embodiment, based on the predicted phase change initiation time, phase change rate, and heat release process, the advancing position of the phase change interface within each phase change energy storage unit is first determined, and the current heat diffusion state within the energy storage unit is determined in conjunction with real-time temperature data. Subsequently, the actual position of the phase change interface is compared with the migration position of the high-loss RF region to determine whether there is a spatial deviation between the two. When the phase change interface advances slowly and lags behind the migration path of the high-loss RF region, the equivalent thermal conductivity in the corresponding direction is increased, so that heat is preferentially transferred to the direction of high-loss region movement, promoting the continued expansion of the phase change interface; when the phase change interface advances too quickly and leads the high-loss RF region, the equivalent thermal resistance at the interface leading edge is increased to limit the continued diffusion of heat flow, keeping the phase change process within the expected range. Based on this, according to the heat transfer requirements between each phase change energy storage unit, the thermal coupling connection state between adjacent energy storage units is adjusted to determine which units need enhanced heat conduction and which units need reduced or cut off heat transfer. Finally, dynamic control parameters including equivalent thermal conductivity, heat flow direction and thermal coupling on / off state are generated for subsequent collaborative energy storage control of the phase change energy storage array, thereby improving the accuracy of heat flow distribution and the controllability of the phase change process.

[0029] In one possible implementation, based on the prediction results and the real-time temperature state of each phase change energy storage unit, dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit are established, including: Based on the phase change initiation time, phase change rate, and heat release process of each phase change energy storage unit, a spatial propagation trajectory of the phase change interface is constructed, and the spatial location distribution of the phase change interface within each phase change energy storage unit is determined in conjunction with the real-time temperature status. Based on the spatial deviation relationship between the spatial location distribution and the migration trajectory of the RF high-loss region, a heat conduction path reconstruction command is generated. This command executes directional guidance of heat flow within the phase change energy storage unit by changing the distribution of effective heat conduction channels within the energy storage unit. When the spatial deviation relationship indicates that the phase change interface lags behind the migration path of the RF high-loss region, a directional heat conduction channel along the RF migration direction is activated, and heat is preferentially grown along the interface propagation direction. When the spatial deviation relationship indicates that the phase change interface leads the migration path of the RF high-loss region, a thermal resistance enhancement channel is switched, so that the heat flow is restricted to diffuse at the interface front to delay phase change propagation. Based on the heat conduction path reconstruction results, the thermal coupling on / off relationship between phase change energy storage units is spatially reconstructed, and dynamic control parameters are output.

[0030] Preferably, after obtaining the phase change initiation time, phase change rate, and heat release process of each phase change energy storage unit, the side surface of each phase change energy storage unit closest to the RF high-loss region is first taken as the starting position of the phase change interface, and the direction from this surface to the back side inside the energy storage unit is taken as the phase change interface propagation direction. When the current time is earlier than the phase change initiation time, it is determined that the phase change interface of the phase change energy storage unit has not yet formed; when the current time is later than the phase change initiation time, the phase change duration is obtained by subtracting the phase change initiation time from the current time, and the phase change duration is multiplied by the predicted phase change rate to obtain the distance the phase change interface propagates from the heated surface to the interior. Then, according to the sampling time sequence, the above propagation distance calculation is performed for each sampling time, and the sampling time - phase change interface propagation distance - phase change interface spatial coordinates are stored as trajectory points. The trajectory points corresponding to multiple sampling times are connected in chronological order to form the spatial propagation trajectory of the phase change interface of the phase change energy storage unit, which is used to represent the spatial change process of the phase change interface moving from the heated surface to the interior of the energy storage unit over time. Subsequently, the temperatures of multiple temperature measuring points arranged along the propulsion direction within the phase change energy storage unit are read, and the positions where the temperature reaches or approaches the phase change temperature are taken as the actual phase change interface positions. The predicted propulsion distance is then corrected, thereby obtaining the spatial distribution of the phase change interface within each phase change energy storage unit.

[0031] After obtaining the spatial distribution, the current migration position of the high-loss RF region within the cavity is read, and the target phase-change energy storage unit and its target heated area corresponding to this migration position are determined. Then, the current position of the phase-change interface is compared with the position of the target heated area corresponding to the high-loss RF region. If the phase-change interface's advancement distance is less than the target advancement distance, it indicates that the phase-change interface lags behind the migration path of the high-loss RF region; if the phase-change interface's advancement distance is greater than the target advancement distance, it indicates that the phase-change interface is ahead of the migration path of the high-loss RF region. If the difference is within an acceptable range, the current thermal conductivity state remains unchanged. The target advancement distance can be determined based on the expected residence time of the high-loss RF region at the energy storage unit; that is, the longer the residence time, the greater the target advancement distance. When the phase change interface is determined to be lagging, a heat conduction path reconstruction command is generated. This drives the heat conduction plates arranged along the radio frequency migration direction inside the phase change energy storage unit into a contact state, forming a continuous heat conduction path between the heated surface, the internal region of the phase change material, and the direction of the next target energy storage unit. Simultaneously, the bypass heat conduction plates corresponding to the non-migration direction are shut off, allowing heat flow to preferentially transfer along the migration direction of the high-loss radio frequency region and the advancement direction of the phase change interface, thereby accelerating the advancement of the phase change interface inward or to the next target region. When the phase change interface is determined to be ahead, the system switches to the thermal resistance enhancement channel, driving the heat conduction plates in the leading edge direction of the phase change interface to disengage from contact and moving the heat insulation baffle to the position in front of the phase change interface. This increases the resistance to further forward diffusion of heat flow, while maintaining the thermal connection between the phase change energy storage unit and the thermoelectric conversion side. This allows the stored heat to be preferentially released to the thermoelectric conversion end, reducing the heat input that continues to push the phase change interface forward, thereby delaying the advancement of the phase change.

[0032] After adjusting the heat conduction path of a single phase change energy storage unit (PSU), the thermal coupling relationship between adjacent PSUs is reconstructed based on the next migration target of the high-loss RF region. Specifically, for the next PSU about to be heated, the thermal coupling channel between it and the current PSU is opened; for PSUs that have completed heat absorption and entered the heat release phase, the thermal coupling channel between them and the heat source side is closed, and the thermal coupling channel between them and the thermoelectric conversion side is opened; for PSUs whose temperature is below the phase change temperature and are not currently involved in heat absorption, they are kept in an insulated state. Finally, the contact status of the heat-conducting plates, the insertion status of the insulation baffles, the thermal coupling switch status of adjacent PSUs, and the opening and closing status of the heat conduction channel on the thermoelectric conversion side are summarized and output as dynamic control parameters. Through this process, the migration process of the phase change interface and the high-loss RF region can be kept matched, improving the accuracy of heat flow guidance and the collaborative control effect of the energy storage array.

[0033] The energy storage control of the phase change energy storage unit array is performed by using dynamic adjustment parameters, and the power feedback cycle management is performed by using maximum power point tracking.

[0034] In one embodiment, after obtaining the dynamic control parameters, energy storage control is executed according to the number of each phase change energy storage unit. For phase change energy storage units that are about to be heated by the high-loss RF region, the heat conduction channel on the heat source side is opened to preferentially introduce RF heat into the energy storage unit. For phase change energy storage units that are absorbing heat during phase change, their internal directional heat conduction channel is kept open to allow the phase change interface to advance in a predetermined direction and continuously absorb latent heat. For phase change energy storage units that have completed heat absorption and entered the heat release stage, their heat conduction channel with the heat source side is closed, while their heat conduction channel with the hot end of the thermoelectric converter is opened to release the stored heat to the thermoelectric converter. The thermoelectric converter generates a temperature difference voltage under the condition that the hot end receives the heat released by the phase change energy storage unit and the cold end is connected to the external cavity liquid cooling system, and sends the output power to the maximum power point tracking circuit. The maximum power point tracking circuit collects the output voltage and output current of the thermoelectric converter according to a fixed sampling period and calculates the current output power. Subsequently, the output power of the current sampling period is compared with the output power of the previous sampling period. If the output power increases after adjustment, the duty cycle of the bidirectional DC / DC converter continues to be adjusted in the current direction. If the output power decreases after adjustment, the duty cycle is adjusted in the opposite direction, so that the output operating point of the thermoelectric converter gradually approaches the maximum power output state. The bidirectional DC / DC converter boosts or bucks the power energy after maximum power point tracking to the bus voltage required by the antenna power supply system, and sends it back to the antenna power supply system through the feedback port. This realizes a closed-loop power feedback cycle management of phase change energy storage unit heat absorption, thermoelectric converter power generation, DC / DC converter regulation, and antenna power supply system recycling, improving the recovery efficiency of radio frequency waste heat and the overall energy utilization rate of the system.

[0035] In one possible implementation, energy storage control of the phase change energy storage unit array is performed using dynamically adjustable parameters, and energy feedback loop management is performed through maximum power point tracking, including: Based on the phase change initiation time and phase change rate of each phase change energy storage unit, an equivalent output power dynamic curve of the phase change energy storage unit is constructed, and the equivalent output power dynamic curve is used as a reference power trajectory for maximum power point tracking. According to the real-time heat release state of the phase change energy storage unit array, the power change rate of thermoelectric conversion output per unit time is extracted, and the deviation between the power change rate and the reference power trajectory is analyzed to generate a power adjustment offset. Based on the power adjustment offset, the duty cycle and input impedance matching state of the bidirectional DC / DC converter are dynamically tracked and adjusted so that the output operating point of the thermoelectric conversion unit continuously approaches the maximum power output range.

[0036] Optionally, after obtaining the phase change initiation time and phase change rate of each phase change energy storage unit, the theoretical heat release capacity of each phase change energy storage unit at different stages is first calculated in chronological order. For phase change energy storage units that have entered the phase change stage, the phase change rate is used as a characterizing parameter for the heat release rate. Combined with the latent heat of phase change per unit volume of the phase change energy storage material and the current interface area participating in the phase change, the amount of heat that can be released to the hot end of the thermoelectric converter per unit time is calculated. Subsequently, according to the preset thermoelectric conversion efficiency of the thermoelectric converter, the heat released per unit time is converted into theoretical output power, and this theoretical output power is used as the equivalent output power at the corresponding time. The above calculation is then performed for each sampling time, and the sampling time-equivalent output power data points are recorded in chronological order. Multiple data points form a dynamic curve of the equivalent output power of the phase change energy storage unit. When multiple energy storage units in the phase change energy storage unit array release heat simultaneously, the equivalent output power of multiple energy storage units at the same sampling time is superimposed to form a reference power trajectory for the entire phase change energy storage unit array. Subsequently, the real-time heat release status of the thermoelectric conversion unit, such as the voltage and current at the output terminal, is acquired. In each sampling period, the output voltage and output current are multiplied to obtain the actual output power for the current sampling period. Then, the actual output power of the current sampling period is subtracted from the actual output power of the previous sampling period, and divided by the sampling period duration to obtain the rate of change of thermoelectric conversion output power per unit time. Next, the reference power trajectory value corresponding to the current sampling moment is read, and the actual output power change rate is compared with the trend of the reference power trajectory. If the actual output power growth rate is lower than the target growth rate corresponding to the reference power trajectory, it is determined that the current thermoelectric conversion output has not reached the theoretical maximum output state; if the actual output power growth rate is higher than the target growth rate corresponding to the reference power trajectory, it is determined that the current output operating point has deviated from the optimal stable output range. A corresponding power adjustment offset is generated based on the difference between the two values. This power adjustment offset is used to characterize the degree of deviation and adjustment direction of the current output operating point relative to the target maximum power point.

[0037] After obtaining the power adjustment offset, dynamic tracking adjustment is performed on the bidirectional DC / DC converter. When the power adjustment offset is positive, the duty cycle of the bidirectional DC / DC converter is gradually increased, reducing the load impedance on the output side of the thermoelectric conversion unit, thereby increasing the output current and output power. When the power adjustment offset is negative, the duty cycle of the bidirectional DC / DC converter is gradually decreased, increasing the load impedance on the output side of the thermoelectric conversion unit, thereby suppressing output power overshoot and restoring a stable output state. After each duty cycle adjustment, the output voltage and output current of the next sampling period are re-acquired, and the actual output power and power change rate are recalculated and compared with the reference power trajectory again to continuously correct the power adjustment offset. At the same time, the impedance matching state of the input terminal of the bidirectional DC / DC converter is synchronously adjusted according to the duty cycle change, so that the output impedance of the thermoelectric conversion unit is kept close to the input impedance of the bidirectional DC / DC converter. By continuously executing the above cycle of power acquisition, deviation analysis, duty cycle adjustment, and impedance matching correction, the operating point of the thermoelectric conversion unit output terminal always approaches the maximum power output range corresponding to the reference power trajectory and maintains stable operation.

[0038] In one possible implementation, after performing energy feedback loop management via maximum power point tracking, it also includes: A PID control quantity is constructed based on the phase change progress deviation and thermoelectric conversion output power deviation of the phase change energy storage unit. The PID control quantity is used as the control input for the flow rate of the external cavity liquid cooling system. Dynamic regulation and management of the flow rate of the external cavity liquid cooling system are performed through the control input.

[0039] Preferably, within each sampling period, the target phase change progress at the current moment is obtained based on the phase change response prediction model, and the ratio of the distance the phase change interface has advanced to the total thickness of the phase change energy storage unit is calculated to obtain the actual phase change progress. Subsequently, the target phase change progress is subtracted from the actual phase change progress to obtain the phase change progress deviation. Simultaneously, the real-time voltage and current at the output of the thermoelectric converter are collected, the actual output power is calculated, and the target output power obtained from maximum power point tracking is subtracted from the actual output power to obtain the thermoelectric conversion output power deviation. After obtaining the phase change progress deviation and the output power deviation, the phase change progress deviation is multiplied by a first weight, and the output power deviation is multiplied by a second weight. The two are then added together to obtain the comprehensive control deviation for the current sampling period. Subsequently, the PID controller uses this comprehensive control deviation as input to calculate the proportional, integral, and derivative terms respectively. The proportional term reflects the current deviation magnitude, the integral term accumulates the deviations over multiple consecutive sampling periods, and the derivative term reflects the rate of change of the deviation in adjacent sampling periods. The proportional, integral, and derivative terms are then added together to obtain the PID adjustment quantity. Then, the PID control input is converted into the target flow control input for the external cavity liquid cooling system. When the PID control indicates a lag in phase change and low thermoelectric conversion output power, the liquid cooling system flow rate is increased to lower the cold end temperature of the thermoelectric converter, widen the temperature difference between the hot and cold ends, improve the thermoelectric conversion output capacity, and promote the release of heat from the energy storage unit to the thermoelectric converter. When the PID control indicates an excessively rapid phase change or overshoot in output power, the liquid cooling system flow rate is reduced to decrease the cold end temperature drop, preventing excessive heat release and uncontrolled phase change. The liquid cooling pump or proportional valve adjusts the actual flow rate according to the target flow control input, and the flow sensor provides real-time feedback of the current flow rate value. The deviation is then recalculated and the PID control input is corrected in the next sampling cycle, thereby achieving dynamic regulation and management of the external cavity liquid cooling system flow rate, improving energy feedback efficiency and system operational stability.

[0040] In one possible implementation, the energy storage control of the phase change energy storage unit array is performed using dynamically adjustable parameters, and further includes: A phase change utilization efficiency evaluation index is constructed, and a control feedback is established based on the phase change utilization efficiency evaluation index; the control feedback is used to perform coordinated correction management of the migration path, dwell rhythm, and dynamic control parameters of the high-loss radio frequency region.

[0041] Preferably, after each evaluation cycle, the actual heat absorbed by each phase change energy storage unit, the actual heat involved in the phase change, and the actual heat output to the thermoelectric converter are statistically analyzed. The actual heat absorbed is calculated based on the temperature rise change of the thermocouple corresponding to the energy storage unit; the actual heat involved in the phase change is calculated based on the phase change interface advancement distance, the heat-receiving cross-sectional area of ​​the energy storage unit, and the latent heat of phase change per unit volume; and the actual heat output to the thermoelectric converter is calculated by inversely based on the temperature change at the hot end of the thermoelectric converter and the output power. Subsequently, the ratio of the actual heat involved in the phase change to the actual heat absorbed is used as the phase change heat absorption utilization rate, and the ratio of the actual heat output to the thermoelectric converter to the actual heat involved in the phase change is used as the heat release recovery utilization rate. These two values ​​are then weighted and summed according to preset weights to obtain the phase change utilization efficiency evaluation index. Next, the phase change utilization efficiency evaluation index is compared with the preset target efficiency threshold. When the phase change utilization efficiency is lower than the target efficiency threshold, it indicates insufficient thermal matching between the RF high-loss region and the phase change energy storage unit. In this case, the cause of the efficiency reduction is further determined. Generally, if the actual heat involved in the phase change of a certain energy storage unit is significantly less than the actual heat absorbed, it indicates insufficient internal heat conduction of the energy storage unit, and the opening ratio of the directional heat conduction channel of the energy storage unit is increased. If the actual heat absorbed by a certain energy storage unit is low, it indicates that the RF high-loss region does not spend enough time near the energy storage unit, and the residence time of the RF high-loss region at that location is extended. If there is a large difference in phase change utilization efficiency among multiple energy storage units, it indicates uneven distribution of migration paths, and the migration order of the RF high-loss region is adjusted so that it prioritizes passing through energy storage units with lower utilization efficiency and temperatures not yet reaching the upper limit. After generating control feedback, the migration path, residence rhythm, and dynamic control parameters of the RF high-loss region are synchronously corrected based on the feedback results. Specifically, for phase change energy storage units with insufficient heat absorption, their positions are added to the priority migration nodes of the next cycle; for phase change energy storage units with lagging phase change progress, the dwell time of the corresponding nodes is extended; for phase change energy storage units that are close to completing phase change and have high temperatures, the dwell time is shortened and they are switched to the heat dissipation channel in advance. At the same time, the opening ratio of the heat conduction channel, the thermal coupling switch state, and the thermal conduction connection state on the thermoelectric conversion side are reset according to the phase change utilization efficiency of each energy storage unit. Through the above feedback correction, the movement position, dwell time, and thermal conduction state of the energy storage unit in the high-loss RF region are kept in synergy, thereby improving the efficiency of the phase change energy storage array in the continuous absorption, storage, and recovery of RF thermal energy.

[0042] Example 2, based on the same inventive concept as the antenna cavity radio frequency thermal energy storage coupling recycling method in the foregoing examples, such as... Figure 2As shown, this application provides an antenna cavity radio frequency thermal energy storage coupling recycling device. The device and method embodiments in this application are based on the same inventive concept. The device includes: an energy space reconstruction module 11: during the radio frequency heating process of the hot film packaging machine, it constructs a coupling mapping relationship between the temperature field and the electromagnetic standing wave field inside the cavity, and actively reconstructs the spatial distribution of radio frequency energy based on the coupling mapping relationship, so that the high-loss radio frequency region performs controlled migration within the cavity according to a preset path; a phase change process prediction module 12: it constructs a discretely distributed phase change energy storage unit array on the controlled migration path, inputs the spatial migration trajectory and energy input characteristics of the high-loss radio frequency region into the phase change response prediction model, and performs feedforward prediction of the phase change start time, phase change rate and heat capacity release process of each phase change energy storage unit; a control parameter establishment module 13: based on the prediction results and the real-time temperature state of each phase change energy storage unit, it establishes dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit; and an energy feedback management module 14: it uses the dynamic control parameters to perform energy storage control of the phase change energy storage unit array, and performs energy feedback cycle management through maximum power point tracking.

[0043] Furthermore, the energy space reconstruction module 11 also includes: The temperature field inside the cavity is constructed by collecting the temperature distribution inside the cavity using a thermocouple array.

[0044] Furthermore, the phase transition process prediction module 12 also includes: The spatial migration trajectory and energy input characteristics are decomposed and analyzed by the feature decomposition layer to extract the arrival time of the hot zone, residence time, and energy input intensity per unit time for each phase change energy storage unit, thus constructing a time-series heat input characteristic sequence. The cumulative analysis layer is activated to perform energy accumulation calculation on the time-series heat input characteristic sequence, obtaining the cumulative input energy curve that evolves over time. The cumulative input energy curve is compared with the phase change latent heat threshold of the corresponding phase change energy storage unit, and the moment when the cumulative input energy first triggers the phase change latent heat threshold is taken as the phase change initiation time. The phase change analysis layer is invoked to perform rate of change analysis on the energy input intensity per unit time, obtaining the heat input growth rate. Based on the correspondence between the heat input growth rate and the phase change latent heat consumption rate, the phase change interface propagation rate is calculated, and the phase change rate is input. Excess energy data is constructed based on the cumulative input energy curve. The excess energy data and residence time are used to perform analysis of the remaining heat release interval and release duration, establishing the heat capacity release process. The phase change initiation time, phase change rate, and heat capacity release process are output as prediction results.

[0045] Furthermore, the phase transition process prediction module 12 also includes: The time-series thermal input feature sequence is reconstructed in segments according to the migration rhythm of the high-loss RF region, dividing the continuous input process into multiple discrete energy input sub-intervals corresponding to the residence period of the thermal zone; local energy input peaks and energy attenuation gradients are extracted in the discrete energy input sub-intervals to construct a segmented energy envelope sequence; the segmented energy envelope sequence is used to perform independent energy integration on each discrete energy input sub-interval, and thermal hysteresis compensation is introduced in adjacent discrete energy input sub-intervals to form a corrected cumulative input energy curve.

[0046] Furthermore, the phase transition process prediction module 12 also includes: Based on the difference between the total energy input of the previous discrete energy input sub-interval and the latent heat threshold of the corresponding phase change energy storage unit, the remaining latent heat corresponding to the incomplete phase change is determined, and a first compensation amount is constructed based on the remaining latent heat. The energy decay gradient at the end of the previous discrete energy input sub-interval is extracted, and the hysteresis degree of heat diffusion into the energy storage unit is analyzed using the energy decay gradient to construct a decay correction factor characterizing the heat retention intensity. Based on the first compensation amount and the decay correction factor, the heat retention compensation amount is calculated, and the heat retention compensation amount is superimposed on the initial energy state of the next discrete energy input sub-interval to correct the energy integration starting point of the corresponding discrete energy input sub-interval.

[0047] Furthermore, the control parameter establishment module 13 also includes: Based on the phase change initiation time, phase change rate, and heat release process of each phase change energy storage unit, a spatial propagation trajectory of the phase change interface is constructed, and the spatial location distribution of the phase change interface within each phase change energy storage unit is determined in conjunction with the real-time temperature status. Based on the spatial deviation relationship between the spatial location distribution and the migration trajectory of the RF high-loss region, a heat conduction path reconstruction command is generated. This command executes directional guidance of heat flow within the phase change energy storage unit by changing the distribution of effective heat conduction channels within the energy storage unit. When the spatial deviation relationship indicates that the phase change interface lags behind the migration path of the RF high-loss region, a directional heat conduction channel along the RF migration direction is activated, and heat is preferentially grown along the interface propagation direction. When the spatial deviation relationship indicates that the phase change interface leads the migration path of the RF high-loss region, a thermal resistance enhancement channel is switched, so that the heat flow is restricted to diffuse at the interface front to delay phase change propagation. Based on the heat conduction path reconstruction results, the thermal coupling on / off relationship between phase change energy storage units is spatially reconstructed, and dynamic control parameters are output.

[0048] Furthermore, the power feedback management module 14 also includes: Based on the phase change initiation time and phase change rate of each phase change energy storage unit, an equivalent output power dynamic curve of the phase change energy storage unit is constructed, and the equivalent output power dynamic curve is used as a reference power trajectory for maximum power point tracking. According to the real-time heat release state of the phase change energy storage unit array, the power change rate of thermoelectric conversion output per unit time is extracted, and the deviation between the power change rate and the reference power trajectory is analyzed to generate a power adjustment offset. Based on the power adjustment offset, the duty cycle and input impedance matching state of the bidirectional DC / DC converter are dynamically tracked and adjusted so that the output operating point of the thermoelectric conversion unit continuously approaches the maximum power output range.

[0049] Furthermore, the power feedback management module 14 also includes: A PID control quantity is constructed based on the phase change progress deviation and thermoelectric conversion output power deviation of the phase change energy storage unit. The PID control quantity is used as the control input for the flow rate of the external cavity liquid cooling system. Dynamic regulation and management of the flow rate of the external cavity liquid cooling system are performed through the control input.

[0050] Furthermore, the power feedback management module 14 also includes: A phase change utilization efficiency evaluation index is constructed, and a control feedback is established based on the phase change utilization efficiency evaluation index; the control feedback is used to perform coordinated correction management of the migration path, dwell rhythm, and dynamic control parameters of the high-loss radio frequency region.

[0051] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0052] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0053] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application intends to include such modifications and variations.

Claims

1. A method for the coupled recycling of radio frequency thermal energy storage in an antenna cavity, characterized in that, The method includes: During the radio frequency heating process of the hot film packaging machine, a coupling mapping relationship between the temperature field and the electromagnetic standing wave field in the cavity is constructed. Based on the coupling mapping relationship, the spatial distribution of radio frequency energy is actively reconstructed, so that the high-loss radio frequency region performs controlled migration in the cavity according to a preset path. A discretely distributed array of phase change energy storage units is constructed along a controlled migration path. The spatial migration trajectory and energy input characteristics of the high-loss radio frequency region are input into the phase change response prediction model to perform feedforward prediction of the phase change initiation time, phase change rate, and heat capacity release process of each phase change energy storage unit. Based on the prediction results and the real-time temperature status of each phase change energy storage unit, dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit are established. The energy storage control of the phase change energy storage unit array is performed by using dynamic adjustment parameters, and the power feedback cycle management is performed by using maximum power point tracking.

2. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 1, characterized in that, The spatial migration trajectory and energy input characteristics of the high-loss radio frequency region are input into the phase transition response prediction model, including: Based on the feature decomposition layer, the spatial migration trajectory and energy input features are decomposed and analyzed to extract the hot zone arrival time, residence time and energy input intensity per unit time of each phase change energy storage unit, and a time-series thermal input feature sequence is constructed. Activate the cumulative analysis layer, perform energy accumulation calculation on the time-series thermal input feature sequence, obtain the cumulative input energy curve that evolves over time, compare and analyze the cumulative input energy curve with the phase change latent heat threshold of the corresponding phase change energy storage unit, and take the moment when the cumulative input energy first triggers the phase change latent heat threshold as the phase change start time. The phase change analysis layer is invoked to perform a rate of change analysis on the energy input intensity per unit time, obtain the heat input growth rate, and, based on the correspondence between the heat input growth rate and the latent heat consumption rate of phase change, perform the phase change interface advancement rate calculation and input the phase change rate. Based on the cumulative input energy curve, excess energy data is constructed. Using the excess energy data and residence time, the remaining heat release interval and release duration are analyzed to establish the heat capacity release process. The phase transition initiation time, phase transition rate, and heat release process are output as prediction results.

3. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 2, characterized in that, Activating the cumulative analysis layer and performing energy accumulation calculations on the time-series thermal input feature sequence further includes: The time-series thermal input feature sequence is reconstructed in segments according to the migration rhythm of the high-loss radio frequency region, and the continuous input process is divided into multiple discrete energy input sub-intervals corresponding to the residence period of the thermal region. Local energy input peaks and energy decay gradients are extracted from discrete energy input sub-intervals to construct segmented energy envelope sequences. The segmented energy envelope sequence is used to perform independent energy integration on each discrete energy input sub-interval, and thermal hysteresis compensation is introduced in adjacent discrete energy input sub-intervals to form a corrected cumulative input energy curve.

4. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 3, characterized in that, Thermal hysteresis compensation is introduced into adjacent discrete energy input sub-intervals, including: Based on the difference between the total energy input of the previous discrete energy input sub-interval and the phase change latent heat threshold of the corresponding phase change energy storage unit, the remaining latent heat corresponding to the incomplete phase change is determined, and a first compensation amount is constructed based on the remaining latent heat. The energy decay gradient at the end of the previous discrete energy input sub-interval is extracted, and the energy decay gradient is used to perform a hysteresis analysis of heat diffusion into the energy storage unit, and a decay correction factor characterizing the heat retention intensity is constructed. The thermal hysteresis compensation is calculated based on the first compensation amount and the attenuation correction factor. The thermal hysteresis compensation is then superimposed on the initial energy state of the next discrete energy input sub-interval to correct the energy integration starting point of the corresponding discrete energy input sub-interval.

5. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 1, characterized in that, Based on the prediction results and the real-time temperature status of each phase change energy storage unit, dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit are established, including: Based on the phase change initiation time, phase change rate and heat capacity release process of each phase change energy storage unit, the spatial propagation trajectory of the phase change interface is constructed, and the spatial location distribution of the phase change interface inside each phase change energy storage unit is determined in combination with the real-time temperature status. Based on the spatial deviation relationship between the spatial location distribution and the migration trajectory of the high-loss radio frequency region, a heat conduction path reconstruction instruction is generated. The heat conduction path reconstruction instruction performs directional guidance of heat flow inside the phase change energy storage unit by changing the distribution of effective heat conduction channels inside the energy storage unit. When the spatial deviation relationship indicates that the phase change interface lags behind the migration path of the high-loss RF region, the directional heat conduction channel along the RF migration direction is activated, and heat is preferentially grown along the interface propagation direction. When the spatial deviation relationship indicates that the phase transition interface leads the migration path of the high-loss RF region, the thermal resistance enhancement channel is switched to restrict the diffusion of heat flow at the interface front to delay the phase transition. Based on the heat conduction path reconstruction results, the thermal coupling on / off relationship between phase change energy storage units is spatially reconstructed, and dynamic control parameters are output.

6. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 1, characterized in that, Energy storage control of the phase change energy storage unit array is performed using dynamic adjustment parameters, and energy feedback loop management is performed through maximum power point tracking, including: Based on the phase change initiation time and phase change rate of each phase change energy storage unit, the equivalent output power dynamic curve of the phase change energy storage unit is constructed, and the equivalent output power dynamic curve is used as the reference power trajectory for maximum power point tracking. Based on the real-time heat release state of the phase change energy storage unit array, the power change rate of the thermoelectric conversion output per unit time is extracted, and the deviation analysis between the power change rate and the reference power trajectory is performed to generate the power adjustment offset. Based on the power adjustment offset, the duty cycle and input impedance matching state of the bidirectional DC / DC converter are dynamically tracked and adjusted so that the operating point of the output terminal of the thermoelectric conversion unit continuously approaches the maximum power output range.

7. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 1, characterized in that, After implementing energy feedback loop management through maximum power point tracking, it also includes: A PID control quantity is constructed based on the phase change progress deviation and thermoelectric conversion output power deviation of the phase change energy storage unit, and the PID control quantity is used as the control input for the flow rate of the external cavity liquid cooling system. The flow rate of the external cavity liquid cooling system is dynamically adjusted and managed by controlling the input.

8. The antenna cavity radio frequency thermal energy storage coupling recycling method as described in claim 1, characterized in that, The temperature field inside the cavity is constructed by collecting the temperature distribution inside the cavity using a thermocouple array.

9. The method for coordinating and recycling radio frequency thermal energy storage in an antenna cavity as described in claim 1, characterized in that, The energy storage control of the phase change energy storage unit array using dynamically adjusted parameters also includes: Construct a phase change utilization efficiency evaluation index, and establish a control feedback based on the phase change utilization efficiency evaluation index; The control feedback is used to perform coordinated correction management of the migration path, dwell rhythm, and dynamic control parameters of the high-loss radio frequency region.

10. An antenna cavity radio frequency thermal energy storage coupling recycling device, characterized in that, The apparatus is used to perform the antenna cavity radio frequency thermal energy storage coupling recycling method according to any one of claims 1 to 9, the apparatus comprising: Energy Space Reconstruction Module: During the radio frequency heating process of the hot film packaging machine, a coupling mapping relationship between the temperature field and the electromagnetic standing wave field inside the cavity is constructed. Based on the coupling mapping relationship, the radio frequency energy space distribution is actively reconstructed, so that the high-loss radio frequency region performs controlled migration within the cavity according to a preset path. Phase change process prediction module: Construct a discretely distributed array of phase change energy storage units along the controlled migration path, input the spatial migration trajectory and energy input characteristics of the high-loss RF region into the phase change response prediction model, and perform feedforward prediction of the phase change initiation time, phase change rate and heat capacity release process of each phase change energy storage unit. Parameter establishment module: Based on the prediction results and the real-time temperature status of each phase change energy storage unit, establish dynamic control parameters for the equivalent thermal conductivity and thermal coupling on / off state of each energy storage unit. Energy feedback management module: It uses dynamic control parameters to perform energy storage control of the phase change energy storage unit array and performs energy feedback cycle management through maximum power point tracking.

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