Self-adaptive inductance compensation heating method and system for electromagnetic heating electric cooker

Abstract

The embodiment of the invention discloses a self-adaptive inductance compensation heating method and system for an electromagnetic heating electric cooker, and the method comprises the steps: carrying out the self-adaptive adjustment of heating control according to the inductance characteristics and compensation parameters; monitoring real-time inductance and inductance variation of each petal region, and calculating a region difference value between the inductances of every two petal regions; when it is detected that one or more area difference values exceed a first inductance threshold value and the duration time exceeds a first time threshold value, the step of judging whether the pot body deviates or not is executed; if yes, according to the real-time inductance difference data, driving an elastic section and / or a sliding turn section of each petal area to perform micro displacement; if not, whether liquid level distribution is abnormal or not is judged, and if yes, three-phase dynamic synchronous compensation is achieved for all petal areas. According to the invention, through multi-level threshold value control and self-adaptive compensation, the whole-course self-closed-loop response from detection, judgment to compensation is realized, and the system stability and the heating efficiency are remarkably improved.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application relates to the technical field of intelligent rice cookers, and particularly relates to a self-adaptive inductance compensation heating method and system for an electromagnetic heating rice cooker, an electronic device and a storage medium. BACKGROUND

[0002] The existing IH (Induction Heating) electromagnetic heating rice cooker generally adopts a single circular or multi-coil structure to realize pot body heating through high-frequency electromagnetic induction. However, in the actual cooking process, the liquid level distribution and placement position of the pot body can change, resulting in unstable electromagnetic coupling state between the coil and the pot body, thereby causing uneven heating, power drift, reduced thermal efficiency and other problems.

[0003] The traditional IH heating system generally compensates and controls by detecting the overall change of the bus current or the coil resonance frequency, but such compensation can only reflect the overall inductance change and is difficult to accurately identify local coupling abnormal conditions such as pot body deviation and uneven liquid level. At the same time, the fixed coil structure cannot be geometrically adjusted according to the coupling state change, resulting in continuous uneven electromagnetic field distribution after the displacement or thermal deformation of the pot.

[0004] In recent years, some researches have tried to introduce a multi-channel resonance compensation method, but most of the control strategies are static configurations, which cannot realize adaptive adjustment according to the inductance change characteristics during the heating process, and still have problems of response lag and low compensation accuracy. In addition, the existing systems generally lack fine detection and dynamic adjustment mechanism for liquid level distribution abnormalities, and it is difficult to realize uniform energy distribution and stable heating control in the cooking process.

[0005] Therefore, there is an urgent need for an electromagnetic heating rice cooker heating method and system that can realize dynamic adaptive compensation and take into account the identification of pot body deviation and liquid level distribution abnormalities to improve the stability and heating efficiency of the system. SUMMARY

[0006] In order to overcome the deficiencies of the prior art, the purpose of the embodiment of the present application is to provide a self-adaptive inductance compensation heating method and system for an electromagnetic heating rice cooker, an electronic device, which can realize adaptive dynamic adjustment through multi-petal region independent detection and intelligent compensation.

[0007] To solve the above problems, the first aspect of the embodiment of the present application discloses a self-adaptive inductance compensation heating method for an electromagnetic heating rice cooker, which comprises the following steps: The bottom induction coil of the electromagnetic heating electric rice cooker comprises four or more petal regions, each of which is connected with an independent LC resonance unit, and the electromagnetic heating electric rice cooker adopts an IGBT switch to drive the coil; the inductance characteristics and compensation parameters of each petal region recorded continuously in a heating period are obtained, and the heating control is adaptively adjusted according to the inductance characteristics and compensation parameters; A detection pulse is injected in each off-interval of IGBT driving, and the real-time inductance and inductance change of each petal region are monitored, and the area difference between the inductances of each two petal regions is calculated; When it is detected that one or more area differences exceed a first inductance threshold and the duration exceeds a first time threshold, a step of determining whether the pot body is deviated is performed; if yes, the elastic section and / or the sliding turn section of each petal region is driven to micro-displace according to the real-time inductance difference data; If no, a step of determining whether the liquid level distribution is abnormal is performed, and if yes, three-phase dynamic synchronous compensation is realized for each petal region.

[0008] Optionally, the step of determining whether the pot body is deviated comprises: Reference inductance sequence data established according to the geometric shape of the pot body, the coil distribution and the calibration data are obtained; Real-time inductance difference data between the real-time inductance of each petal region and the inductance sequence data are calculated, and when the real-time inductance difference data exceeds a second inductance threshold and the duration exceeding the second inductance threshold exceeds a second time threshold, it is determined that the pot body is deviated.

[0009] Optionally, the step of dynamically adjusting the driving frequency of each petal region comprises: A master petal region is set, reference inductance sequence data established according to the geometric shape of the pot body, the coil distribution and the calibration data are obtained based on the driving frequency of the master petal region, real-time inductance difference data between the real-time inductance of each petal region and the inductance sequence data are calculated, and phase offset and frequency offset are respectively applied to other petal regions according to the detected inductance difference data, so as to realize three-phase dynamic synchronous compensation of each petal region.

[0010] Optionally, the step of determining whether the liquid level distribution is abnormal comprises: The fluctuation intensity of each petal region is obtained, a feature vector is constructed based on the inductance change, the relative difference value of the region and the fluctuation intensity, the feature vector is input into a pre-trained liquid level distribution model, and a liquid level estimation value corresponding to each petal region is obtained, and the liquid level distribution model adopts a neural network model; The difference between the liquid level estimation value of each petal region and the average liquid level is calculated, and when the difference exceeds a preset liquid level threshold, it is determined that there is uneven liquid level distribution.

[0011] Optionally, the acquisition of the fluctuation intensity of each petal region comprises: The resonance signal of each petal region is band-pass filtered and envelope detected in each set time window, and the standard deviation, peak-to-peak value and coefficient of variation of the envelope signal are calculated, and the standard deviation, peak-to-peak value and coefficient of variation are weighted and summed according to the preset weight to obtain the fluctuation intensity.

[0012] Optionally, the adaptive adjustment of the heating control according to the inductance characteristics and compensation parameters comprises: The resonance response of each petal region when injecting a detection pulse is acquired, and the average value, change rate and fluctuation amplitude of the inductance value of the resonance response are calculated to form an inductance characteristic vector of each petal region; The inductance characteristic vector of each petal region is matched with a preset compensation parameter, and the compensation parameter includes a frequency offset, a phase offset and a power distribution weight; Based on the compensation parameter, the driving frequency, phase and power of each petal region are dynamically adjusted to realize adaptive compensation.

[0013] Optionally, the micro-displacement of the elastic section and / or the sliding turn section of each petal region according to the real-time inductance difference data comprises: According to the inductance difference data between the real-time inductance of each petal region and the reference inductance sequence data, the inductance compensation amount of the petal region is determined, and the inductance compensation amount is the inverse value of the inductance difference data; According to the ratio of the inductance compensation amount to the displacement sensitivity, the target displacement of each petal region is calculated, and the displacement sensitivity is the proportional value of the inductance compensation amount and the target displacement; According to the target displacement, the coil geometry of the corresponding petal region is adjusted to realize local electromagnetic coupling compensation.

[0014] The second aspect of the embodiment of the application discloses an adaptive inductance compensation heating system for an electromagnetic heating electric rice cooker, which comprises: The electromagnetic heating electric rice cooker, the bottom induction coil of the electromagnetic heating electric rice cooker comprises four or more petal regions, each of the petal regions is connected with an independent LC resonance unit, and the electromagnetic heating electric rice cooker adopts an IGBT switch to drive the coil; An adaptive unit is used to acquire the inductance characteristics and compensation parameters of each petal region recorded continuously in a heating period, and to adaptively adjust the heating control according to the inductance characteristics and compensation parameters; A monitoring unit is used to inject a detection pulse in each off-interval of IGBT driving, and to monitor the real-time inductance and inductance change amount of each petal region, and to calculate the region difference value between the inductances of every two petal regions; The pot body offset compensation unit is used for executing the step of determining whether the pot body is offset when it is detected that one or more area differences exceed the first inductance threshold value and the duration exceeds the first time threshold value, and if so, driving the elastic segment and / or the sliding turn segment of each petal region to perform micro-displacement according to the real-time inductance difference data to change the coil geometry, redistribute the electromagnetic coupling strength, and realign the electromagnetic coupling center of the pot body with the geometric center of the coil. The liquid level abnormality compensation unit is used for executing the step of determining whether the liquid level distribution is abnormal if it is determined that the pot body is not offset, and if so, implementing three-phase dynamic synchronous compensation for each petal region.

[0015] The third aspect of the embodiment of the present application discloses an electronic device, which comprises a memory storing executable program code, and a processor coupled with the memory; the processor invokes the executable program code stored in the memory to execute the adaptive inductance compensation heating method for an electromagnetic heating electric rice cooker disclosed in the first aspect of the embodiment of the present application.

[0016] The fourth aspect of the embodiment of the present application discloses a computer readable storage medium storing a computer program, wherein the computer program enables a computer to execute the adaptive inductance compensation heating method for an electromagnetic heating electric rice cooker disclosed in the first aspect of the embodiment of the present application.

[0017] Compared with the prior art, the embodiment of the present application has the following beneficial effects: The present application can overcome the problem of uneven coupling caused by the offset or thermal deformation of the pot body by detecting the inductance difference between the petal regions and driving the elastic segment or the sliding turn segment to perform micro-displacement adjustment to align the geometric center of the coil with the coupling center of the pot body. Meanwhile, based on the compensation parameters matched with the inductance feature vector, the driving frequency, phase and power distribution of each region can be adjusted in real time to realize intelligent self-distribution of the regional heating power, dynamically balance the magnetic field distribution with the pot body and the liquid level state, and improve the local temperature control precision. The identification of the liquid level distribution abnormality and the three-phase dynamic synchronous compensation can inhibit the overheated and underheated areas to ensure uniform temperature field during the cooking process. Furthermore, through multi-level threshold control and adaptive compensation, the whole self-closed loop response from detection, determination to compensation is realized, so that the system can continuously maintain efficient electromagnetic coupling under dynamic working conditions, and the system stability and heating efficiency are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a flowchart of an adaptive inductance compensation heating method for an electromagnetic heating electric rice cooker provided by an embodiment of the present application; Figure 2 is a structural schematic diagram of an adaptive inductance compensation heating system for an electromagnetic heating electric rice cooker provided by an embodiment of the present application; Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. Detailed Implementation

[0019] This specific embodiment is merely an explanation of the embodiments of the present invention and is not intended to limit the embodiments of the present invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but as long as they are within the scope of the claims of the embodiments of the present invention, they are protected by patent law.

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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 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 protection scope of the embodiments of the present invention.

[0021] The term "comprising" and any variations thereof in the specification and claims of this application are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0022] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0023] Example 1

[0024] The method of this embodiment is applicable to electromagnetic heating rice cookers. The bottom induction coil of the electromagnetic heating rice cooker includes four or more petal regions, each of which is connected to an independent LC resonant unit. The electromagnetic heating rice cooker uses an IGBT switch to drive the coil. In this embodiment, the original single ring coil is designed into four or more "petal" arc segments. Specifically, each segment can have 20 turns, and the wire diameter and material are copper-plated aluminum wire. Each area is driven independently, and the four drive units are connected in parallel to the same power supply. The drive unit includes an inverter IGBT, a matching capacitor, a current / voltage sampling circuit, and a protection circuit.

[0025] "Petal-shaped region" refers to a planar coil in which the entire heating coil is divided into several independent and controllable sub-coil regions along the circumference. The shape of the sub-coil regions is like petals arranged around the center. Specifically, the petal-shaped region may include coil winding segments, elastic segments and / or sliding turns, actuation drive units and detection units.

[0026] In an electromagnetic heating rice cooker, the bottom coil is not a continuous winding, but is divided into multiple independent inductance regions, such as four lobes. Each region has an independent coil, capacitor, and IGBT driver module, forming its own local resonant circuit. The regions are connected by magnetic isolation slots or weak magnetic bridges, which can reduce mutual interference and allow coordinated phase adjustment. Each region has an independent inductance measurement value, and the coupling state and temperature distribution can be monitored separately.

[0027] In practical implementation, a stretchable wire structure, such as a spring copper strip or a flexible PCB coil, can be designed at the outer edge or bottom of each petal area to form an elastic segment in each petal area. Then, a piezoelectric actuator, shape memory alloy sheet, or micro-stepping motor push rod can be set below the structure. When micro-displacement is required, the elastic segment can be pushed to extend or retract slightly, causing a slight change in the coil height or plane radius, thereby changing the coupling distance between the coil and the bottom of the pot, or changing the local inter-turn spacing, so as to fine-tune the equivalent inductance L and achieve a rebalancing of the electromagnetic field distribution.

[0028] In practice, each petal coil can be set as a fixed turn segment and a sliding turn segment. The sliding turn segment is connected to the main coil through a low-friction guide rail or a flexible connecting line. A micro-stepping motor, voice coil actuator or micro-linear actuator is set below the sliding turn segment. When micro-displacement is required, the sliding turn segment is driven to move radially, so that the local coil radius increases or decreases, thereby changing the local magnetic flux density distribution and improving the electromagnetic coupling strength of the offset area.

[0029] Please refer to Figures 1-3 As shown, an adaptive inductance compensation heating method for electromagnetic heating rice cookers is described, such as... Figure 1 As shown, it includes the following steps: Step S110: Obtain the inductance characteristics and compensation parameters of each petal region continuously recorded during the heating cycle, and adaptively adjust the heating control according to the inductance characteristics and compensation parameters; Specifically, step S110 includes: The adaptive adjustment of heating control based on the inductance characteristics and compensation parameters includes: Step S1101: During the heating cycle, a detection pulse is injected into the turn-off gap of each IGBT drive, and the resonance response of each petal region when the detection pulse is injected is obtained. The average value, rate of change and fluctuation amplitude of the inductance value of the resonance response are calculated to form the inductance characteristic vector of each petal region. In this step, detection and sampling are performed by injecting a detection pulse. Specifically, a 5μs detection pulse can be injected during the IGBT's off-state. The pulse amplitude and phase can be preset. The coil and capacitor form an LC circuit to generate a small-amplitude free decay oscillation. Then, a high-speed ADC is used to acquire the resonant capacitor voltage, and digital filtering and peak / envelope calculation are performed to extract the attenuation coefficient. The attenuation rate of the resonant capacitor voltage in each region is then measured in real time to calculate the inductance of the corresponding region.

[0030] Specifically, the voltage decay curve across the resonant capacitor was collected. Based on the attenuation coefficient α and the known capacitance value C, the real-time inductance of a certain petal is calculated, satisfying the following formula: Real-time inductance ; in, To detect the resonant frequency, α is the attenuation coefficient, and C is the capacitance value. Let be the real-time inductance of the i-th petal.

[0031] The change in inductance is the difference in inductance between two adjacent detection times, that is, the change in inductance in the i-th petal region. ; Inductance change rate ; in, Let be the inductance value of the i-th petal region at time t. For the adjacent time of the i-th petal region The inductance value at any given time.

[0032] The difference in inductance between each two petal regions ,in The real-time inductance of the m-th petal region is... Let be the real-time inductance of the nth petal region.

[0033] The relative difference between two petal regions is the relative change ratio between them. It is a normalized value of the region difference, which is equal to the region difference divided by the average value of the inductance of all petal regions.

[0034] In this step, the inductance characteristic vector specifically includes the average value, rate of change, and fluctuation amplitude of the inductance value of the resonant response.

[0035] Step S1102: Match preset compensation parameters according to the inductance feature vector of each petal region. The compensation parameters include frequency offset, phase offset and power distribution weight. In this step, the preset compensation parameters can be matched from a preset compensation parameter library based on the inductor feature vector, or obtained through a pre-trained mapping model.

[0036] When matching from the preset compensation parameter library, you can choose to calculate the distance between each feature (i.e., the average value, rate of change, and fluctuation amplitude of the inductance value) in the inductance feature vector of a certain petal region and each feature corresponding to the preset compensation parameter library, then sum the distances, and then select the compensation parameter set corresponding to the minimum distance sum.

[0037] For example, the minimum compensation parameter set corresponding to the distance in petal region A is frequency offset -1.0, phase adjustment +5, and power allocation weight of 0.14.

[0038] Step S1103: Based on the compensation parameters, dynamically adjust the driving frequency, phase and power of each petal region to achieve adaptive compensation.

[0039] In this step, the inductor characteristic vector includes the average value, rate of change, and fluctuation amplitude. The system can take into account both static deviation and dynamic response, thus enabling more robust adaptive compensation.

[0040] Optionally, the adaptive compensation phase offset and frequency offset can also be adaptively calculated based on the power vector superposition method.

[0041] Specifically, the phase offset and frequency offset are adaptively calculated based on the power vector superposition method, including: The real power and reactive power of each petal region are represented as complex power vectors. Pi represents the actual power of region i, and Qi represents the reactive power of region i. Then, a linearized sensitivity matrix is ​​established to determine the influence of frequency and phase on regional power. Based on the sensitivity matrix, a regularized least squares problem is solved to minimize the error between the target power allocation and the actual power, thereby obtaining the frequency offset and phase offset of each petal region.

[0042] Step S120: Monitor the real-time inductance and inductance change of each petal region, and calculate the region difference between the inductance of each two petal regions; In a square IH heating system, the pot body may shift or the liquid level may be uneven, which will cause characteristic changes in the local inductance and magnetic flux distribution. Therefore, the possible pot body shift or uneven liquid level distribution can be monitored by monitoring the real-time inductance and inductance change of the coils in each petal area, as well as the regional difference between the inductance of each two petal areas.

[0043] Step S130: When it is detected that the difference between one or more regions exceeds the first inductance threshold and the duration exceeds the first time threshold, the step of determining whether the pot body has shifted is executed. In this embodiment, a rapid trigger is first performed based on the regional difference to quickly screen for possible deviations. After triggering, a confirmation judgment is made based on a precise comparison of real-time inductance difference data. The two-level judgment reduces false alarms and balances response speed and accuracy.

[0044] Specifically, the step of determining whether the pot body has shifted may include: Step S1301: Obtain the reference inductance sequence data established based on the pot geometry, coil distribution, and calibration data; In this embodiment, reference inductance sequence data corresponding to each petal region is established based on the geometric shape parameters of the pot, the coil distribution parameters, and the calibration data, which is used to calculate the difference with the real-time inductance data.

[0045] Specifically, the established reference inductor sequence data can be preset directly through the system.

[0046] The established reference inductor sequence data may also specifically include: Step S13021: Obtain the geometric shape parameters of the pot body, including the outer diameter of the pot bottom, the bottom thickness, the radius of curvature, and the flatness of the pot bottom; Step S13022: Obtain the partition layout parameters of the coil, including the number of petals, the number of turns of each petal, the coil spacing, and the distance between the coil and the bottom of the pot; Step S13023: Based on the geometric shape parameters and coil layout parameters, obtain the equivalent inductance value of each petal region through finite element simulation and measured calibration data; In this step, the simulated inductance value of each petal region is calculated by electromagnetic finite element simulation, and the simulated inductance value is corrected by the actual measured calibration data to obtain the equivalent inductance value of each petal region. The equivalent inductance value is then stored as inductance sequence data according to the cookware type and parameter range.

[0047] In this step, electromagnetic finite element simulation software, such as ANSYS Maxwell, can be used to calculate the inductance distribution L1 under different locations and loads; During the actual calibration stage, a standard test pot can be used to measure the actual inductance value L2 of each petal on the experimental platform as the actual calibration data. Then, the correction coefficient k between the simulated L1 and the measured L2 is calculated. The simulation data is then corrected based on the correction coefficient k to obtain the equivalent inductance value of each petal region.

[0048] In practice, the simulated inductance value can be corrected by multi-point interpolation by combining measured calibration data to obtain the equivalent inductance value that reflects the actual electromagnetic coupling state, thereby forming inductance sequence data from the equivalent inductance value.

[0049] Step S13024: Store the equivalent inductance value as inductance sequence data according to the cookware type and parameter range, which is used for real-time inductance difference determination and compensation control during operation.

[0050] In practice, cookware can be classified according to its geometric parameters (including the shape, size, and thickness of the bottom) and material characteristics (including magnetic permeability, electrical conductivity, and thermal diffusivity).

[0051] For example, for a square pot with a side length of 220-260mm and a bottom thickness of 3-5mm, the reference inductance sequence data composed of the four petal regions can be L = {3.2mH, 3.1mH, L3.3mH, 3.1mH}.

[0052] In this step, reference inductance sequence data is stored according to cookware type and parameter range to avoid misjudging cookware offset or incorrect compensation caused by using uniform reference inductance sequence data.

[0053] In the above implementation process, the spatial distribution characteristics of inductance under different cookware conditions and different parameter ranges are quickly established through finite element simulation. The error between the simulation model and the actual system is eliminated through actual measurement calibration. By combining finite element simulation and actual measurement calibration, accurate matching of different cookware and different parameter ranges can be achieved in real-time inductance difference determination without recalibrating each time, which significantly improves the system's adaptability.

[0054] Step S1303: Calculate the real-time inductance difference data between the real-time inductance of each petal region and the inductance sequence data. When the real-time inductance difference data exceeds the second inductance threshold and the duration of exceeding the second inductance threshold exceeds the second time threshold, it is determined that the pot body has shifted.

[0055] In practice, the following parameters can be set: First inductance threshold: 0.03-0.07mH; First time threshold: 200-800ms, used to filter out brief bubbles or agitation; The second inductance threshold is 0.05-0.15mH, with a more stringent threshold setting. The second time threshold is 500ms-3s, requiring a longer duration to confirm whether pot body displacement has occurred.

[0056] When the duration of the difference exceeds the second inductance threshold exceeds the second time threshold, it indicates that the inductance difference data is not instantaneous fluctuation data, but an abnormal trend confirmed over time, which can effectively filter out noise interference.

[0057] Step S140: If yes, then drive the elastic segment and / or sliding turn segment of each petal region to perform micro-displacement according to the real-time inductance difference data, so as to change the coil geometry, redistribute the electromagnetic coupling strength, and realign the electromagnetic coupling center of the pot body with the geometric center of the coil. In this embodiment, frequency / power / phase electronic compensation is preferred. When it is determined that the pot body is offset and the electronic compensation may be ineffective for a long time, physical fine-tuning is triggered.

[0058] Specifically, including: Step S1401: Determine the inductance compensation amount for each petal region based on the inductance difference data between the real-time inductance of each petal region and the reference inductance sequence data, wherein the inductance compensation amount is the inverse value of the inductance difference data; Step S1402: Calculate the target displacement of each petal region based on the ratio of inductance compensation to displacement sensitivity; the displacement sensitivity is the ratio of inductance compensation to target displacement. Step S1403: Adjust the coil geometry of the corresponding petal region according to the target displacement to achieve local electromagnetic coupling compensation.

[0059] In this step, the elastic segment or sliding turn segment is micro-displaced according to the target displacement. Specifically, the elastic segment can be stretched, compressed or bent to finely adjust the local length or angle of the coil, or the position of the sliding turn segment can slide along the circumferential direction to change the inter-turn coupling of the local coil, thereby adjusting the coil geometry of the corresponding petal region, changing the geometric arrangement of the coil in the petal region, and adjusting the inductance and local magnetic field distribution in the region.

[0060] In this embodiment, there is no fixed ratio between the inductance compensation amount and the target displacement. Specifically, the displacement sensitivity can be obtained by calculating the sensitivity of the local inductance as a function of distance. The sensitivity of the local inductance as a function of distance can be obtained by finite element simulation or measured data of the IH heating coil.

[0061] For example, the coil inductance is obtained through finite element simulation: about 5 to 7 mH. When the pot body is offset by ±2 mm, the inductance changes by about ±0.2 mH. Then the displacement sensitivity is approximately k≈0.2mH / 2mm=0.1mH / mm.

[0062] Therefore, for petal region A, if the real-time inductance is 5.8, the corresponding value in the reference inductance sequence data is 6.0, and the real-time inductance difference data is -0.2, then the inductance compensation amount is +0.2, the compensation action direction is to enhance coupling, slightly closer to the pot body, and the target displacement is... .

[0063] In the above implementation process, the micro-displacement actuator driven by the target displacement not only achieves global adjustment, but also compensates for local inductance feedback in the petal area, realizing spatial electromagnetic alignment. It couples the precise measurement of electromagnetic parameters with mechanical micro-displacement control, improving coupling efficiency and power stability, and automatically quantifies compensation without the need for manual adjustment.

[0064] As another embodiment, the target displacement can be converted into a local displacement based on a pre-calibrated mapping function, that is, a mapping function between real-time inductance difference data and displacement distance.

[0065] In this embodiment, the target micro-displacement can be determined by the mapping relationship obtained based on finite element simulation and actual measurement calibration, and closed-loop verification can be performed by real-time inductance detection after the physical micro-displacement; the single displacement amplitude, cumulative displacement and execution number of the physical micro-displacement are constrained by preset amplitude limiting and lifetime management strategies.

[0066] For example, the single displacement amplitude is 0.5 mm, and the maximum cumulative displacement is 1-3 mm (to avoid fatigue).

[0067] As another embodiment, step 140, which involves driving the elastic segments and / or sliding turns of each petal region to perform micro-displacement based on the real-time inductance difference data, may specifically include: Step 14021: Each petal-shaped region includes an elastic segment and a sliding turn segment; the target displacement is calculated based on the ratio of the inductance compensation of each petal to the displacement sensitivity. In practical implementation, the inner ring of each petal region can be designed as an elastic segment, for example, using elastic copper sheets, spring supports or flexible PCB structures, which can achieve rapid micro-displacement under small stress. The outer ring can be designed as a sliding turn segment, which can perform macroscopic geometric reconfiguration when there is a large offset through mechanical slide rails, magnetostriction or thermal drive devices. The inner and outer rings can be connected by flexible connecting strips or variable inductive coupling segments, so that the current distribution is not affected by the disconnection.

[0068] Step 14022: When the target displacement is less than or equal to a preset first displacement threshold, drive the elastic segment of the petal region to achieve rapid micro-displacement adjustment; In practical implementation, the micro-displacement mechanism in the petal area can use piezoelectric actuators, voice coil drivers, shape memory alloy sheets, or microstepping motor push rods. Each actuator is connected to an elastic copper strip and can achieve micro-displacement adjustment along the axial or radial direction. The typical drive stroke range is 0.1 mm–3 mm, the displacement resolution is better than 0.05 mm, and the response time is less than 100 ms. The micro-displacement action is achieved through closed-loop control via position feedback sensors or inductive feedback signals.

[0069] This micro-displacement mechanism can achieve local geometric compensation without disrupting coil continuity, and its fatigue life test verifies that its single-operation life exceeds 10 seconds. 6 This cycle ensures long-term stability.

[0070] Step 14023: When the target displacement exceeds the preset first displacement threshold or the elastic segment compensation residual exceeds the tolerance, drive the sliding turn segment to slide and then mechanically lock it; In practice, the first displacement threshold can be calibrated and verified in conjunction with the elastic segment stroke, displacement sensitivity, and mechanical life strategy.

[0071] For example, the first displacement threshold can be set to 3 mm. When the target displacement is less than or equal to 3.0 mm, the elastic segment of the petal area is driven to perform rapid micro-displacement adjustment. When the target displacement is greater than 3 mm, the sliding segment is driven to slide and then mechanically locked for geometric reconfiguration compensation. The sliding segment is mechanically locked after adjustment and is prohibited from being triggered again during the minimum switching interval to improve reliability.

[0072] In this embodiment, the elastic segment is used to achieve rapid micro-displacement adjustment during heating, and the sliding turn segment is used to achieve long-term compensation when the cookware shifts or undergoes long-term thermal deformation through mechanical locking.

[0073] Step S150: If not, then execute the liquid level distribution abnormality determination step to determine whether the liquid level distribution is abnormal; Specifically, the steps for determining abnormal liquid level distribution include: Step S1501: Obtain the fluctuation intensity of each petal region; The acquisition of the fluctuation intensity of each petal region includes: Within each set time window, the resonant signal of each petal region is subjected to bandpass filtering and envelope detection, and the standard deviation, peak-to-peak value and coefficient of variation of the envelope signal are calculated. The standard deviation, peak-to-peak value and coefficient of variation are then weighted and summed according to preset weights to obtain the fluctuation intensity.

[0074] In practice, within each heating cycle, the resonant signal of each petal region is segmented into segments with a short time window of 50 ms. Specifically, the system injects a detection pulse into each petal region every 1 ms. After each injection, the coil generates a decaying oscillation signal lasting tens of microseconds. A high-frequency sampling ADC records this waveform and extracts the inductance or attenuation coefficient. Then, within a continuous 50 ms time window, approximately 50 detection results are accumulated. The system performs calculations on these 50 inductance data, including moving average, standard deviation, and envelope change. Details are as follows: Bandpass filtering is applied to the resonant signal within each window to remove high-frequency noise and low-frequency temperature drift interference. For example, a passband of 20kHz-40kHz is selected, corresponding to the main resonant frequency band of the IH coil. A second-order filter is used to output a smooth signal curve. Then, the absolute value of the filtered signal is taken and low-pass filtered to obtain the signal envelope, which reflects the fluctuation of the resonant intensity over time.

[0075] Within each short-time window, the following three statistical metrics of the envelope are calculated: Standard deviation (σ): reflects the dispersion of fluctuation amplitude; Peak-to-peak value (PP): Reflects the extreme difference of transient fluctuations; Coefficient of variation (CV): defined as σ / μ (the ratio of standard deviation to mean), reflecting the relative volatility.

[0076] For example, the statistically analyzed envelope of a certain petal region has a mean μ = 1.05 mH, a standard deviation σ = 0.05 mH, a peak-to-peak value PP = 0.15 mH, and a coefficient of variation CV = 4.8%.

[0077] Then, the standard deviation, peak-to-peak value, and coefficient of variation are weighted and synthesized according to preset weights to obtain the fluctuation intensity of the region.

[0078] For example: with preset weights of 0.4, 0.4, and 0.2 respectively, the fluctuation intensity = 0.4×0.05 + 0.4×0.15 + 0.2×0.048 ≈ 0.088mH.

[0079] Step S1502: Construct a feature vector based on the inductance change, relative difference value of the region, and fluctuation intensity of each petal region. Input the feature vector into the pre-trained liquid level distribution model to obtain the liquid level estimate corresponding to each petal region. The liquid level distribution model adopts a neural network model. In practical implementation, the inductance change of each petal region, the relative difference of the region, and the fluctuation intensity are used as inputs to form a multi-dimensional feature vector. The liquid level distribution model learns the mapping relationship (nonlinear mapping function) between the multi-dimensional feature vector and the liquid level distribution to output the liquid level estimate.

[0080] In practice, the neural network model adopts the MLP neural network. During training, it is trained using a preset dataset of inductance features under different liquid levels and bias states. Then, the MLP neural network outputs the liquid level estimate for each petal region.

[0081] In practice, the training data for the liquid level distribution model comes from a fusion of experimental data and electromagnetic simulation data. Experimental data is obtained by measuring the real-time inductance changes, fluctuation intensity, and regional difference values ​​of each petal region under different pot offsets, uneven liquid levels, and temperature conditions. Simulation data is based on virtual sample sets established using finite element electromagnetic simulation software (such as ANSYS Maxwell) under different pot conditions, liquid levels, and coupling conditions. Alternatively, the two types of data can be normalized and weighted to form a hybrid training set, and supervised training can be used to form the liquid level distribution model.

[0082] During system operation, real-time detection data will be compared with model output and the threshold and compensation parameters will be updated to form a closed-loop data flow of experiment-simulation-online optimization, ensuring the model's dynamic adaptability and generalization performance.

[0083] Step S1503: Calculate the difference between the estimated liquid level of each petal region and the average liquid level. When the difference exceeds the preset liquid level threshold, it is determined that there is uneven liquid level distribution.

[0084] In this step, the average liquid level is the average of the estimated liquid level values ​​for each petal region.

[0085] For example, with 8 petal regions and a pot depth of 80mm, the output of inductance change, fluctuation intensity, and relative difference between regions are liquid level estimates of 72, 74, 78, 79, 69, 68, 70, and 71, respectively. Average liquid level .

[0086] Specifically, the preset liquid level threshold can be set to ±5% of the average liquid level. The preset liquid level threshold is approximately 3.6mm (0.05 × 72.6). When the threshold is greater than 3.6mm, it is determined that there is uneven liquid level distribution.

[0087] In this example, the maximum liquid level is 79mm, and the difference between the maximum liquid level and the average liquid level is 79-72.6=6.4mm, which is greater than 3.6mm, indicating that there is uneven liquid level distribution.

[0088] Step S160: If so, then implement three-phase dynamic synchronous compensation for each petal region.

[0089] Specifically, including: Step S1601: Set the main control petal region, and based on the driving frequency of the main control petal region, obtain the reference inductance sequence data established according to the pot geometry, coil distribution and calibration data, and calculate the real-time inductance difference data between the real-time inductance of each petal region and the inductance sequence data; Step S1602: Based on the detected inductance difference data, apply phase offset and frequency offset to other petal regions respectively to achieve three-phase dynamic synchronous compensation for each petal region.

[0090] In this step, based on the inductance difference data, the frequency offset and phase offset of each petal region are calculated according to a preset mapping function.

[0091] Specifically, the frequency offset can be obtained from a linear mapping. ,in, For inductance difference data, The frequency mapping constant can be preset or obtained through engineering calibration, and is applied with amplitude limiting after correction by a mutual coupling matrix (which can be obtained based on finite element simulation and factory calibration); the phase offset can be obtained by linear mapping, and the phase offset... ,in, For inductance difference data, The phase mapping constant can be preset or obtained through engineering calibration. Then, the offset is subjected to step size limitation and smoothing filtering and sent to the corresponding driver to realize the three-phase dynamic synchronous compensation of each petal region.

[0092] In this embodiment, since abnormal liquid level distribution is a global load disturbance, if only local adaptive compensation based on inductance characteristics is used, the driving frequency and phase of each petal region may lose synchronization, causing system resonance instability. Therefore, this invention adopts three-phase dynamic synchronous compensation in the case of abnormal liquid level. By uniformly adjusting the phase relationship and power distribution ratio of each region's drive, the overall phase synchronization and power balance of the electromagnetic field are achieved, thereby maintaining stable system operation and heating uniformity under liquid level fluctuations. Through dual synchronization control of phase and frequency, the three-phase power is rebalanced at the magnetic field level, which is far more effective in stabilizing liquid level distribution and heating uniformity than adaptive power adjustment based on inductance characteristics.

[0093] The experiment showed that the square-shaped cast iron base and the pot body weighed 1.2 kg, and were initially heated to 90℃ from a cold state.

[0094] Traditional single-turn drive (control group): temperature difference between the four corners and the center is approximately 15.0℃, power output fluctuation is ±10%, and stability is approximately 85%; In the embodiment of this application: after using partitioned drive + inductance measurement + compensation, the temperature difference between the four corners and the center is approximately 2.1℃, power output fluctuation is ±2.5%, and stability is approximately 95%.

[0095] Example 2

[0096] This invention discloses an adaptive inductance compensation heating system for an electromagnetic heating rice cooker, such as... Figure 2 As shown, Figure 2 It is an adaptive inductance-compensated heating system for electromagnetic heating rice cookers, comprising: The electromagnetic heating rice cooker 210 has a bottom induction coil comprising four or more petal regions, each of which is connected to an independent LC resonant unit. The electromagnetic heating rice cooker uses an IGBT switch to drive the coil. The adaptive unit 220 is used to acquire the inductance characteristics and compensation parameters of each petal region continuously recorded during the heating cycle, and adaptively adjust the heating control according to the inductance characteristics and compensation parameters. The monitoring unit 230 is used to inject detection pulses into the turn-off gap of each IGBT drive, monitor the real-time inductance and inductance change of each petal region, and calculate the region difference between the inductance of each two petal regions. The pot body offset compensation unit 240 is used to perform a step of determining whether the pot body has shifted when it is detected that the difference between one or more regions exceeds the first inductance threshold and the duration exceeds the first time threshold. If so, it drives the elastic segment and / or sliding turn segment of each petal region to perform micro-displacement according to the real-time inductance difference data, so as to change the coil geometry, redistribute the electromagnetic coupling strength, and realign the electromagnetic coupling center of the pot body with the geometric center of the coil. The liquid level anomaly compensation unit 250 is used to perform a liquid level distribution anomaly determination step if it is determined that the pot body has not shifted. If it is, it performs three-phase dynamic synchronous compensation for each petal area.

[0097] Example 3

[0098] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. For example... Figure 3 As shown, the electronic device may include: Memory 310 storing executable program code; Processor 320 coupled to memory 310; The processor 320 calls the executable program code stored in the memory 310 to execute some or all of the steps in the adaptive inductance compensation heating method for an electromagnetic heating rice cooker in Embodiment 1.

[0099] This invention discloses a computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps in an adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to Embodiment 1.

[0100] This invention also discloses a computer program product, wherein when the computer program product is run on a computer, the computer executes some or all of the steps in the adaptive inductance compensation heating method for an electromagnetic heating rice cooker in Embodiment 1.

[0101] This invention also discloses an application publishing platform, which is used to publish computer program products. When the computer program products are run on a computer, the computer executes some or all of the steps in the adaptive inductance compensation heating method for an electromagnetic heating rice cooker in Embodiment 1.

[0102] In various embodiments of the present invention, it should be understood that the sequence number of each process does not necessarily imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0103] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0104] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0105] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests to cause a computer device (which can be a personal computer, server, or network device, specifically a processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of the present invention.

[0106] In the embodiments provided by this invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B solely based on A; B can also be determined based on A and / or other information.

[0107] Those skilled in the art will understand that some or all of the steps in the various methods of the embodiments described can be implemented by a program instructing related hardware. This program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0108] The above provides a detailed description of an adaptive inductance compensation heating method, apparatus, electronic device, and storage medium for an electromagnetic heating rice cooker disclosed in the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An adaptive inductance compensation heating method for an electromagnetic heating rice cooker, characterized in that, The bottom induction coil of the electromagnetic heating rice cooker includes four or more petal-shaped regions, each petal-shaped region being connected to an independent LC resonant unit. The electromagnetic heating rice cooker uses an IGBT switch to drive the coil. The method includes... the following: The inductance characteristics and compensation parameters of each petal region are continuously recorded during the heating cycle, and the heating control is adaptively adjusted based on the inductance characteristics and compensation parameters. A detection pulse is injected into the turn-off gap of each IGBT drive, and the real-time inductance and inductance change of each petal region are monitored. The region difference between the inductance of each two petal regions is calculated. When it is detected that the difference between one or more regions exceeds the first inductance threshold and the duration exceeds the first time threshold, the step of determining whether the pot body has shifted is executed; if so, the elastic segment and / or sliding turn segment of each petal region is driven to perform micro-displacement according to the real-time inductance difference data. If not, then execute the liquid level distribution anomaly judgment step to determine whether the liquid level distribution is abnormal. If so, then implement three-phase dynamic synchronous compensation for each petal region.

2. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 1, characterized in that, The step of determining whether the pot body has shifted includes: Obtain reference inductance sequence data established based on the pot geometry, coil distribution, and calibration data; Calculate the real-time inductance difference data between each petal region and the inductance sequence data. When the real-time inductance difference data exceeds a second inductance threshold and the duration of exceeding the second inductance threshold exceeds a second time threshold, it is determined that the pot body has shifted.

3. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 1, characterized in that, The three-phase dynamic synchronous compensation for each petal region includes: A main control petal region is defined. Based on the driving frequency of the main control petal region, reference inductance sequence data is obtained according to the geometry of the pot body, coil distribution and calibration data. The real-time inductance difference data between each petal region and the inductance sequence data is calculated. Based on the detected inductance difference data, phase offset and frequency offset are applied to other petal regions respectively to achieve three-phase dynamic synchronous compensation of each petal region.

4. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 1, characterized in that, The step of determining abnormal liquid level distribution includes: The fluctuation intensity of each petal region is obtained. Based on the inductance change, relative difference of the region, and fluctuation intensity of each petal region, a feature vector is constructed. The feature vector is input into a pre-trained liquid level distribution model to obtain the liquid level estimate corresponding to each petal region. The liquid level distribution model adopts a neural network model. The difference between the estimated liquid level of each petal region and the average liquid level is calculated. When the difference exceeds a preset liquid level threshold, it is determined that there is uneven liquid level distribution.

5. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 4, characterized in that, The acquisition of the fluctuation intensity of each petal region includes: Within each set time window, the resonant signal of each petal region is subjected to bandpass filtering and envelope detection, and the standard deviation, peak-to-peak value and coefficient of variation of the envelope signal are calculated. The standard deviation, peak-to-peak value and coefficient of variation are then weighted and summed according to preset weights to obtain the fluctuation intensity.

6. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 1, characterized in that, The adaptive adjustment of heating control based on the inductance characteristics and compensation parameters includes: The resonant response of each petal region when the detection pulse is injected is obtained, and the average value, rate of change and fluctuation amplitude of the inductance value of the resonant response are calculated to form the inductance characteristic vector of each petal region. Preset compensation parameters are matched based on the inductance feature vector of each petal region. The compensation parameters include frequency offset, phase offset, and power distribution weight. Based on the compensation parameters, the driving frequency, phase, and power of each petal region are dynamically adjusted to achieve adaptive compensation.

7. The adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to claim 2, characterized in that, The step of driving the elastic segments and / or sliding turns of each petal region to perform micro-displacement based on the real-time inductance difference data includes: Based on the inductance difference data between the real-time inductance of each petal region and the reference inductance sequence data, the inductance compensation amount of the petal region is determined, wherein the inductance compensation amount is the inverse value of the inductance difference data. The target displacement of each petal region is calculated based on the ratio of inductance compensation to displacement sensitivity; the displacement sensitivity is the ratio of inductance compensation to target displacement. Adjust the coil geometry of the corresponding petal region according to the target displacement to achieve local electromagnetic coupling compensation.

8. An adaptive inductance-compensated heating system for an electromagnetic heating rice cooker, characterized in that, It includes: An electromagnetic heating rice cooker, wherein the bottom induction coil of the electromagnetic heating rice cooker includes four or more petal regions, each of the petal regions being connected to an independent LC resonant unit, and the electromagnetic heating rice cooker uses an IGBT switch to drive the coil; An adaptive unit is used to acquire the inductance characteristics and compensation parameters of each petal region continuously recorded during the heating cycle, and to adaptively adjust the heating control based on the inductance characteristics and compensation parameters. The monitoring unit is used to inject detection pulses into the turn-off gap of each IGBT drive, monitor the real-time inductance and inductance change of each petal region, and calculate the region difference between the inductance of each two petal regions. The pot body offset compensation unit is used to determine whether the pot body has shifted when it is detected that the difference between one or more regions exceeds the first inductance threshold and the duration exceeds the first time threshold. If so, it drives the elastic segment and / or sliding turn segment of each petal region to perform micro-displacement according to the real-time inductance difference data, so as to change the coil geometry, redistribute the electromagnetic coupling strength, and realign the electromagnetic coupling center of the pot body with the geometric center of the coil. The liquid level anomaly compensation unit is used to perform a liquid level distribution anomaly determination step if it is determined that the pot body has not shifted. If the liquid level distribution is abnormal, then three-phase dynamic synchronous compensation is implemented for each petal area.

9. An electronic device, characterized in that, It includes: a memory storing executable program code; a processor coupled to the memory; the processor calling the executable program code stored in the memory to execute the adaptive inductance compensation heating method for an electromagnetic heating rice cooker according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, wherein the computer program causes the computer to execute the adaptive inductance compensation heating method for an electromagnetic heating rice cooker as described in any one of claims 1-7.

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