A method, system and device for harsh environment adaptive wireless power transfer

Abstract

The application relates to the field of energy transmission and discloses a harsh environment adaptive wireless energy transmission method, system and device, which comprises generating an impact spectrum characteristic model containing thermal coupling interference intensity; based on the impact spectrum characteristic model, dynamically switching an energy capture mode, matching the impact spectrum characteristic model with a charge release rate of a graphene-based energy storage medium, establishing a time domain coverage deviation model of the impact duration and the charge release rate, generating an activation timing sequence and a charge release intensity curve; based on the activation timing sequence, performing lattice structure reconstruction on the graphene-based energy storage medium, adjusting the interlayer spacing and modulating the defect density, and generating an asymmetric charge distribution topology; and triggering the release of differential energy according to the phase characteristics of the trajectory of a bombarding body. The application can improve the energy transmission efficiency, response speed and robustness in an extreme environment.

Description

Technical Field

[0001] This invention belongs to the field of energy transmission technology, and in particular relates to a method, system and device for adaptive wireless energy transmission in harsh environments. Background Technology

[0002] Currently, traditional wireless power transfer systems have serious shortcomings in harsh environments (such as aerodynamic thermal shock from high-speed aircraft, high-frequency mechanical vibration, and transient load changes), specifically:

[0003] Poor adaptability to energy capture:

[0004] Existing piezoelectric or electromagnetic induction units cannot dynamically adapt to the abrupt changes in the frequency spectrum of high-frequency shocks and vibrations. In particular, when the main frequency component of mechanical vibration exceeds the device's response bandwidth, the energy conversion efficiency drops sharply.

[0005] Energy storage medium response mismatch:

[0006] Traditional energy storage systems (such as supercapacitors) exhibit significant temporal deviations between charge release rate and impact duration: during the projectile's acceleration phase, the delayed release of the energy storage medium leads to excessive voltage drop depth; when millisecond-level high-power output is required for terminal guidance, the charge release rate cannot match the real-time changes in the ballistic curvature, resulting in a power supply error rate exceeding 15%.

[0007] Uncontrolled environmental coupling interference:

[0008] The coupling effect of temperature gradient and mechanical vibration spectrum causes instability in energy transmission link: there is a lack of a coordinated feedback mechanism for mechanical vibration intensity scalar and temperature change direction; existing technology cannot dynamically compensate for waveform distortion caused by thermal-vibration composite interference.

[0009] Motion phase energy misalignment:

[0010] In the trajectory of the projectile, the existing system does not correlate motion phase characteristics (launch / free flight / terminal guidance) with energy release mode: when the air friction coefficient increases sharply during the launch phase, the energy storage medium cannot trigger directional charge release; the terminal guidance lacks the ability to generate real-time compensation signals.

[0011] Therefore, this application provides an adaptive wireless power transfer method for harsh environments to solve the above-mentioned technical problems. Summary of the Invention

[0012] The purpose of this invention is to provide a method, system and device for adaptive wireless power transmission in harsh environments, in order to solve the technical problems of poor adaptability, low energy storage efficiency and inaccurate power supply in the prior art.

[0013] To address the aforementioned technical problems, this invention provides a method for adaptive wireless power transfer in harsh environments, comprising:

[0014] Real-time acquisition of load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra; extraction of impact duration, load abrupt change parameters, and environmental coupling factors through time-frequency domain joint analysis algorithms; generation of an impact spectrum feature model including the intensity of thermal coupling interference.

[0015] Based on the impact spectrum feature model, the energy capture mode is dynamically switched according to the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated, and when the main frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode.

[0016] The impact spectrum feature model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. The initial correction coefficient when the graphene-based energy storage medium is activated is calculated by combining the environmental coupling factor and the load mutation parameter. The initial correction coefficient is adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum to generate the activation time sequence and the charge release intensity curve.

[0017] Based on the activation timing sequence, the lattice structure of the graphene-based energy storage medium is reconstructed, the interlayer spacing is adjusted and the defect density is modulated to generate an asymmetric charge distribution topology.

[0018] Based on the phase characteristics of the projectile's trajectory, differentiated energy is released. During the launch phase, the directional charge release of the graphene-based energy storage medium is triggered. During the free flight phase, the low-power charge storage state of the graphene-based energy storage medium is maintained. During the terminal guidance phase, a directional pulse power supply signal is generated. A compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

[0019] In some specific embodiments, load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra are acquired in real time. The impact duration, load abrupt change parameters, and environmental coupling factors are extracted using a time-frequency domain joint analysis algorithm to generate an impact spectrum feature model that includes the intensity of thermal coupling interference. This further includes:

[0020] The pulse amplitude and pulse width of the load-side current pulse are collected in real time based on a transient current sensor.

[0021] The slope and duration of the voltage drop curve are collected in real time by the voltage drop monitoring unit.

[0022] The rate of change of the temperature gradient is collected in real time based on a temperature sensor array.

[0023] The mechanical vibration main frequency component and harmonic distribution are collected in real time based on the vibration accelerometer.

[0024] A full-band energy integration operation is performed on the mechanical vibration spectrum to generate a mechanical vibration intensity scalar, and the mechanical vibration intensity scalar is interactively operated with the direction vector of the temperature gradient change rate to quantize and generate the environmental coupling factor.

[0025] Based on the time-frequency domain joint analysis algorithm, the current pulse, the voltage drop curve, the temperature gradient change rate, and the mechanical vibration spectrum are fused to generate an impact spectrum feature model that includes the impact duration, the load mutation parameters, and the environmental coupling factor.

[0026] In some specific embodiments, based on the impact spectrum characteristic model, the energy harvesting mode is dynamically switched according to the mapping relationship between the temperature gradient change rate and the dominant frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated; when the dominant frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode. This further includes:

[0027] Based on the aforementioned impulse spectrum characteristic model, the preset rate threshold and the preset frequency range are analyzed.

[0028] When the rate of change of the temperature gradient is greater than a preset rate threshold, the piezoelectric effect mode is activated, including activating the electromechanical conversion function of the piezoelectric ceramic array to convert thermal shock energy into electric charge.

[0029] When the main frequency of the mechanical vibration is greater than the preset frequency range, the system switches to electromagnetic induction mode, which includes improving energy capture efficiency by superimposing the magnetic field of the resonant coil.

[0030] Based on the nonlinear mapping relationship between the direction of the temperature gradient change rate and the vibration intensity of the main mechanical vibration frequency, the rate threshold and frequency range required for switching the energy capture mode are dynamically updated to achieve energy transmission link stability.

[0031] In some specific embodiments, the impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. An initial correction coefficient for activation of the graphene-based energy storage medium is calculated by combining the environmental coupling factor and the load mutation parameter. The initial correction coefficient is then adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum, generating an activation time sequence and a charge release intensity curve. Further, this includes:

[0032] A time-domain coverage deviation model for the impact duration and charge release rate waveform is established, and a dynamic alignment window algorithm is used to calibrate the energy transfer timing.

[0033] The initial correction coefficients for the activation timing of the graphene-based energy storage medium are calculated using a weighted allocation algorithm of the environmental coupling factor and the load mutation parameter.

[0034] The superposition interference between the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum is input into the amplitude compensation algorithm to adjust the phase shift of the initial correction coefficient;

[0035] A multi-level graphene-based energy storage medium control sequence was generated, including activation time points and charge release intensity values.

[0036] In some specific embodiments, based on the activation timing sequence, lattice structure reconstruction is performed on the graphene-based energy storage medium to adjust the interlayer spacing and modulate the defect density, generating an asymmetric charge distribution topology, further including:

[0037] The distortion characteristics of the impact waveform and the amount of environmental interference are analyzed based on the activation timing sequence.

[0038] The interlayer spacing of graphene-based energy storage media is modulated based on the laser-induced lattice reconstruction method, making it positively correlated with the duration of impact.

[0039] Based on the mechanical vibration spectrum modulation of the defect density of the graphene-based energy storage medium, an asymmetric distribution of charge accumulation regions and charge non-accumulation regions is formed;

[0040] The charge migration path is optimized by combining the temperature gradient change rate to generate a charge distribution topology that matches the impact waveform.

[0041] In some specific embodiments, differentiated energy is released based on the phase characteristics of the projectile's trajectory. During the launch phase, directional charge release of the graphene-based energy storage medium is triggered. During the free-flight phase, the low-power charge storage state of the graphene-based energy storage medium is maintained. During the terminal guidance phase, a directional pulse power supply signal is generated. A compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset energy link distortion caused by sudden environmental changes. Further, the method includes:

[0042] The output power of the piezoelectric effect mode and the electromagnetic induction mode is enhanced by a resonant superposition algorithm;

[0043] Based on the nonlinear mapping relationship between the air friction coefficient and the thickness of the graphene-based energy storage medium, the directional charge release threshold of the graphene-based energy storage medium is calculated.

[0044] When the amplitude of the current pulse is greater than the directional charge release threshold, the surface charge of the graphene-based energy storage medium is released and fed back to the load end to calibrate the voltage drop curve in real time.

[0045] In some specific embodiments, a directional pulse power supply signal is generated during the terminal guidance phase, and a compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the power link distortion caused by sudden environmental changes, further including:

[0046] Ballistic deformation parameters are generated based on a real-time calculation model of ballistic curvature radius.

[0047] Based on the correlation between the ballistic deformation parameters and the load mutation parameters, the amplitude and pulse width of the directional pulse power supply signal are generated.

[0048] When environmental parameters change abruptly, a compensation signal is generated by using a frequency domain coverage dynamic adjustment algorithm through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode.

[0049] The compensation signal is injected into the energy transmission link to counteract the energy link distortion caused by sudden environmental changes.

[0050] Based on the same concept, the present invention also provides a harsh environment adaptive wireless power transfer system, comprising:

[0051] The data acquisition module is configured to acquire load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra in real time. It extracts the impact duration, load abrupt change parameters, and environmental coupling factors through a time-frequency domain joint analysis algorithm, generating an impact spectrum feature model that includes the intensity of thermal coupling interference.

[0052] The mode switching module is configured to dynamically switch the energy capture mode based on the impact spectrum feature model and the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated, and when the main frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode.

[0053] The timing control module is configured to match the impact spectrum feature model with the charge release rate of the graphene-based energy storage medium, establish a time-domain coverage deviation model between the impact duration and the charge release rate, calculate the initial correction coefficient when the graphene-based energy storage medium is activated by combining the environmental coupling factor and the load mutation parameter, and adjust the initial correction coefficient by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum, thereby generating an activation timing sequence and a charge release intensity curve.

[0054] The lattice reconstruction module is configured to perform lattice structure reconstruction on the graphene-based energy storage medium based on the activation timing sequence, adjust the interlayer spacing and modulate the defect density, and generate an asymmetric charge distribution topology.

[0055] The energy release module is configured to trigger the release of differentiated energy based on the phase characteristics of the projectile's trajectory. During the launch phase, it triggers the release of directional charge in the graphene-based energy storage medium. During the free flight phase, it maintains the low-power charge storage state of the graphene-based energy storage medium. During the terminal guidance phase, it generates a directional pulse power supply signal and dynamically generates a compensation signal through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

[0056] Based on the same concept, the present invention also provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of a harsh environment adaptive wireless power transfer method.

[0057] Based on the same concept, the present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a harsh environment adaptive wireless power transfer method.

[0058] Compared with existing technologies, its advantages are as follows:

[0059] This invention discloses a method, system, and device for adaptive wireless power transmission in harsh environments, which achieves coordinated adaptation between energy conversion modes and environmental parameters, adopts differentiated energy release modes, and ultimately improves energy transmission efficiency, response speed, and robustness in extreme environments. Attached Figure Description

[0060] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0061] Figure 1 This is a flowchart illustrating some specific embodiments of the adaptive wireless power transfer method for harsh environments according to the present invention;

[0062] Figure 2 This is a schematic diagram of the structure of a harsh environment adaptive wireless power transfer system according to some specific embodiments of the present invention;

[0063] Figure 3 This is a schematic diagram of the structure of an electronic device according to some specific embodiments of the present invention;

[0064] In the diagram, 710 is the processor; 720 is the memory; 730 is the input device; and 740 is the output device. Detailed Implementation

[0065] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0066] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0067] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0068] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0069] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0070] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0071] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0072] Reference Figure 1 A method for adaptive wireless power transfer in harsh environments, comprising:

[0073] S101 collects load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra in real time. It extracts the impact duration, load mutation parameters, and environmental coupling factors through a time-frequency domain joint analysis algorithm, generating an impact spectrum feature model that includes the intensity of thermal coupling interference.

[0074] S102, based on the impact spectrum feature model, dynamically switch the energy capture mode according to the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, activate the piezoelectric effect mode. When the main frequency of mechanical vibration is greater than a preset frequency range, switch to the electromagnetic induction mode.

[0075] S103, the impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. The initial correction coefficient when the graphene-based energy storage medium is activated is calculated by combining the environmental coupling factor and the load mutation parameter. The initial correction coefficient is adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum to generate the activation time sequence and the charge release intensity curve.

[0076] S104, based on the activation timing sequence, the lattice structure of the graphene-based energy storage medium is reconstructed, the interlayer spacing is adjusted and the defect density is modulated to generate an asymmetric charge distribution topology;

[0077] S105 triggers the release of differentiated energy based on the phase characteristics of the projectile's trajectory. During the launch phase, it triggers the release of directional charge in the graphene-based energy storage medium. During the free flight phase, it maintains the low-power charge storage state of the graphene-based energy storage medium. During the terminal guidance phase, it generates a directional pulse power supply signal and dynamically generates a compensation signal through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

[0078] Specifically, in this embodiment of the invention, taking a hypersonic vehicle re-entering the atmosphere as an example, firstly, a transient current sensor deployed inside the cabin collects a current pulse with an amplitude of 200A and a pulse width of 2ms at the load end of the guidance system in real time. Simultaneously, a voltage drop monitoring unit records a voltage drop curve with a slope of -50V / μs and a duration of 3.5ms. The distributed temperature sensor array measures the rate of change of the cabin wall temperature gradient, which suddenly increases from 25℃ / s to 280℃ / s. The vibration accelerometer simultaneously collects a mechanical vibration spectrum with a dominant frequency component of 18kHz and a harmonic energy ratio of 35%. The above data are then input into the time and frequency domain for joint analysis. The algorithm extracts the impact duration of 3.2 ms, load mutation parameters (current mutation rate of 120 A / ms), and environmental coupling factors (generated by the interaction of the temperature gradient change direction vector [1, 0, -0.5] and the mechanical vibration intensity scalar of 85 g²·Hz). Finally, it constructs an impact spectrum feature model including a thermo-coupling interference intensity coefficient K=1.7. Based on this model, it analyzes the temperature gradient change rate threshold of 250℃ / s and the upper limit of the mechanical vibration dominant frequency component of 15 kHz. When the actual temperature gradient change rate of 280℃ / s exceeds the threshold, the piezoelectric effect mode is activated, causing the piezoelectric ceramic array to convert the aerodynamic thermal shock into electrical charge. Simultaneously, due to the mechanical vibration main frequency component exceeding the frequency range at 18kHz, the system switches to electromagnetic induction mode, enhancing energy capture efficiency through the superposition of the magnetic field of a high-frequency resonant coil. Subsequently, the impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration of 3.2ms and the charge release rate waveform (reference slope 0.8C / ms). A dynamic alignment window algorithm is used to compress the timing deviation from 1.1ms to 0.05ms. Combining the environmental coupling factor weight of 0.6 and the load mutation parameter weight of 0.4, the initial correction coefficient α=1.25 is calculated. Then, the temperature gradient change rate is adjusted. An interference amplitude compensation algorithm is used to input the interference formed by superimposing 80℃ / s and the mechanical vibration intensity scalar of 85g²·Hz. After phase shift adjustment, an activation timing sequence (e.g., activation region A releases 120J at t=0ms, activation region B releases 95J at t=2.1ms) and a charge release intensity curve are generated. Based on this sequence, laser-induced lattice reconstruction (wavelength 532nm, energy density 5J / cm²) is performed on the graphene-based energy storage medium. The interlayer spacing is dynamically adjusted from 0.34nm to 0.82nm to match the 3.2ms impact duration. At the same time, the defect density is modulated to 1.2×10³ cm⁻² according to the vibration spectrum harmonic distribution to form an asymmetric charge accumulation region. Finally, a charge distribution topology matching the aerodynamic thermal shock waveform is generated. During the launch phase of the spacecraft, the piezoelectric / electromagnetic mode output power is increased to 1.5kW through a resonant superposition algorithm, and the directional charge release on the surface of the graphene-based energy storage medium is triggered based on the asymmetric charge distribution topology (the release threshold is set to the air friction coefficient of 0).The system (corresponding to a 50μm thick energy storage layer) maintains a low-power storage state with a bias voltage of 0.5V during free flight. In the terminal guidance phase, based on a real-time ballistic curvature radius calculation model (input pitch angle 45°, Mach number 8 generating a curvature radius of 120m), it outputs a directional pulse power supply signal with a pulse width of 0.6ms and an amplitude of 300V. When a sudden gust of wind causes abrupt changes in the cabin vibration spectrum, a compensation signal with a frequency domain coverage of 5-25kHz and an amplitude compensation rate of 15% is generated through a piezoelectric-electromagnetic collaborative feedback mechanism and injected into the energy link to offset the distortion.

[0079] In some applications, load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra are acquired in real time. A time-frequency domain joint analysis algorithm is used to extract the impact duration, load abrupt change parameters, and environmental coupling factors, generating an impact spectrum feature model that includes the intensity of thermal coupling interference. This includes real-time acquisition of the pulse amplitude and pulse width of the load-side current pulse using a transient current sensor; real-time acquisition of the slope and duration of the voltage drop curve using a voltage drop monitoring unit; real-time acquisition of the temperature gradient change rate using a temperature sensor array; real-time acquisition of the mechanical vibration dominant frequency component and harmonic distribution of the mechanical vibration spectrum using a vibration accelerometer; performing full-band energy integration on the mechanical vibration spectrum to generate a mechanical vibration intensity scalar; and interactively calculating the mechanical vibration intensity scalar with the direction vector of the temperature gradient change rate to quantize and generate the environmental coupling factor. Based on the time-frequency domain joint analysis algorithm, feature fusion is performed on the current pulse, the voltage drop curve, the temperature gradient change rate, and the mechanical vibration spectrum to generate an impact spectrum feature model that includes the impact duration, the load abrupt change parameters, and the environmental coupling factor.

[0080] Understandably, in this application, for example in the extreme operating condition verification of high-speed aircraft, the transient current sensor collects the current pulse signal at the load end of the guidance system in real time, and measures the pulse amplitude as 200 amperes and the pulse width as 2 milliseconds; the voltage drop monitoring unit synchronously records the voltage drop curve, with a slope of -50 volts per microsecond and a duration of 3.5 milliseconds; the temperature sensor array obtains the rate of change of the cabin wall temperature gradient at a sampling rate of 10,000 times per second, and the measured value increases sharply from 25 degrees Celsius per second to 280 degrees Celsius per second; the vibration accelerometer collects the mechanical vibration spectrum in the 0 to 50 kHz frequency band, and extracts the dominant frequency component of 18 kHz and the harmonic energy distribution (the calculation method is: the energy integral of the spectrum from three times the dominant frequency to 50 kHz is divided by the energy integral of the entire frequency band from 0 to 50 kHz, and the result is 35%).

[0081] Mechanical vibration intensity scalar generation: Perform energy integration calculation on the entire vibration spectrum: multiply the vibration energy value at each frequency point in the range of 0 to 50 kHz by the square of that frequency (reflecting the weight of high-frequency vibration energy), and then sum all the product results to finally obtain the mechanical vibration intensity scalar of 85 g square hertz.

[0082] Environmental coupling factor quantification: Define the direction vector of temperature gradient change rate as a three-dimensional spatial vector [1,0,-0.5] (the value 1 represents the dominant temperature change in the positive axial direction of the bow, 0 represents no significant change in the lateral direction, and -0.5 represents the reverse temperature change in the stern direction); perform a dot product operation on this vector and the vector [85,0,0] formed by the mechanical vibration intensity scalar: first multiply the corresponding components of the two vectors (i.e., 1×85, 0×0, -0.5×0), then add the three products to finally generate the environmental coupling factor 95.2.

[0083] Impact spectrum characteristic model generation: A four-step fusion calculation was performed using a joint time-frequency domain analysis algorithm: Step 1: The impact duration was extracted, and Morlet wavelet transform was performed on the voltage drop curve (using a fundamental wave with a center frequency of 5 kHz) to determine the time point at which the wavelet energy coefficient decayed to 10% of its maximum value as 3.2 milliseconds; Step 2: Load mutation parameters were calculated by taking the time derivative of the current pulse waveform and setting the maximum value of the derivative function to 120 amperes per millisecond; Step 3: Thermodynamic coupling interference intensity coefficient was established by using a linear regression model to multiply the temperature gradient of 280 degrees Celsius per second by a weighting factor of 0.8, and then adding the environmental coupling factor of 95.2 multiplied by a weighting factor of 0.2, resulting in an original value of 243.04, which was then normalized to 1.7; The final output model parameter set is: impact duration 3.2 milliseconds, load mutation rate 120 amperes per millisecond, environmental coupling factor 95.2, and thermodynamic coupling interference intensity coefficient 1.7.

[0084] In some applications, based on the impact spectrum feature model, the energy capture mode is dynamically switched according to the mapping relationship between the temperature gradient change rate and the dominant frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated; when the dominant frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode. This includes analyzing the preset rate threshold and the preset frequency range based on the impact spectrum feature model. When the temperature gradient change rate is greater than the preset rate threshold, the piezoelectric effect mode is activated, including activating the electromechanical conversion function of the piezoelectric ceramic array to convert thermal shock energy into electric charge. When the dominant frequency of mechanical vibration is greater than the preset frequency range, the mode is switched to electromagnetic induction mode, including improving energy capture efficiency through the superposition of the magnetic field of the resonant coil. Based on the nonlinear mapping relationship between the change direction of the temperature gradient and the vibration intensity of the dominant frequency of mechanical vibration, the rate threshold and frequency range required for switching the energy capture mode are dynamically updated to achieve energy transmission link stability.

[0085] Understandably, in this application, based on the shock spectrum characteristic model, a preset rate threshold and a preset frequency range are analyzed. When the rate of change of the temperature gradient exceeds the preset rate threshold, the piezoelectric effect mode is activated: the thermal shock energy is converted into charge through the electromechanical conversion function of the piezoelectric ceramic array. Specifically, the polarization direction of the piezoelectric material is aligned with the temperature gradient, and charge is generated using the positive piezoelectric effect. When the main frequency component of the mechanical vibration exceeds the preset frequency range, the electromagnetic induction mode is switched: a high-frequency resonant coil group is used to achieve magnetic field superposition, and the strength of the synthesized magnetic field is maximized by adjusting the coil spacing and phase difference. The threshold is dynamically updated based on the nonlinear mapping between the temperature gradient change direction vector and the mechanical vibration intensity scalar: a weighting function of each component of the direction vector and the vibration intensity is established, and the rate threshold correction and frequency range offset are calculated in real time. The update logic is the original threshold multiplied by the product of the vibration intensity logarithmic attenuation compensation factor and the direction weight coefficient.

[0086] For example, a preset rate threshold of 250 degrees Celsius per second and a preset frequency range upper limit of 15 kHz are analyzed from the impact spectrum characteristic model. When the detected temperature gradient change rate of 280 degrees Celsius per second exceeds the threshold, the charge conversion function of the piezoelectric ceramic array (PZT-5H material) is activated: the axial thermal shock energy is input into the piezoelectric unit, and the charge output is calculated according to the formula: input thermal energy value × (piezoelectric material constant) × (temperature change gain obtained from the table). The output is 1200 joules of input thermal energy × piezoelectric coefficient 650 picocoulombs per Newton × temperature change rate adaptation gain 1.8 (the gain value is obtained from the table by looking up the thermal coupling interference intensity coefficient of 1.7), and the output is 1404 microcoulombs. At the same time, because the mechanical vibration main frequency component of 18 kHz exceeds the frequency range, the electromagnetic induction mode is switched: magnetic field superposition: single coil magnetic field strength × (1 + coupling coefficient ÷ coil spacing); three sets of resonant coils (single coil magnetic field strength 0.3 Tesla) are arranged at a spacing of 0.1 meters. Under a coupling coefficient of 0.8, the synthetic magnetic field strength is 0.3 Tesla × (1 plus 0.8 ÷ 0.1) = 2.7 Tesla; Frequency range update: original upper limit × [1 + log10 (current vibration intensity / reference intensity 85)]; Based on the temperature gradient change direction vector [-0.2, 0.5, 1.0] (Z-axis cabin head direction is dominant) and the mechanical vibration intensity scalar 90 g square hertz, the threshold is updated as follows: First, the vibration intensity coefficient is calculated as 90 ÷ 100 = 0.9, and the logarithmic decay is taken as log10 (90 / 85) ≈ 0.024. The velocity threshold is updated as follows: original threshold × [1 + (direction vector Z component) × (vibration intensity / 100)]; The velocity threshold is updated to 250 × [1 + (direction vector Z component) 1.0 × 0.9] = 287.5 degrees Celsius per second; The upper limit of the frequency range is updated to 15 × (1 + 0.024) = 15.36 kHz; The updated threshold takes effect within 100 microseconds.

[0087] In some applications, the impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. An initial correction coefficient for the activation of the graphene-based energy storage medium is calculated by combining the environmental coupling factor and the load mutation parameter. This initial correction coefficient is then adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum. This generates an activation time sequence and a charge release intensity curve. The process includes establishing a time-domain coverage deviation model between the impact duration and the charge release rate waveform; calibrating the energy transfer time sequence using a dynamic alignment window algorithm; calculating the initial correction coefficient for the activation time sequence of the graphene-based energy storage medium using a weighting algorithm based on the environmental coupling factor and the load mutation parameter; inputting the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum into an amplitude compensation algorithm to adjust the phase shift of the initial correction coefficient; and generating a multi-level graphene-based energy storage medium control sequence including activation time points and charge release intensity values.

[0088] Understandably, in this application, the impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model of the impact duration and charge release rate waveform. A dynamic alignment window algorithm is used to compress the timing deviation through a convolution window function. The initial correction coefficient is calculated through a weight allocation algorithm of environmental coupling factor and load mutation parameter, with the weight allocation based on the contribution ratio of thermal-vibration coupling. The superposition interference of temperature gradient change rate and mechanical vibration intensity scalar is input into the amplitude compensation algorithm, and complex domain phase shift operation is performed to adjust the initial correction coefficient. Finally, a multi-level control sequence containing activation time point and release intensity value is generated.

[0089] For example, shock spectrum characteristic model parameters: shock duration =3.2ms, slope of the reference charge release rate curve of graphene-based energy storage medium =0.8C / ms. Establish a time-domain coverage deviation model: Timing calibration: Dynamic alignment window algorithm for deviation function. Apply Hanning window convolution: Integration This reduces the original deviation of 1.2ms to 0.05ms;

[0090] Initial correction coefficient calculation: Environmental coupling factor (Weight 0.6), load mutation parameter ΔI / Δt = 120A / ms (Weight 0.4):

[0091] =0.6×95.2+0.4×120=57.12+48=105.12;

[0092] Coefficient adjustment: Superimposed interference D = Temperature gradient change rate 280℃ / s × 0.7 + Mechanical vibration intensity scalar 85g²·Hz × 0.3 = 196 + 25.5 = 221.5;

[0093] Amplitude compensation algorithm execution: (Phase shift 30°) Real part calculation: 105.12 + 221.5 × cos(-30°) = 105.12 + 191.8 = 296.92; Control sequence generation: Activation time point: =0ms (corresponding to 30% of the real part of β 296.92 → 89.08) release intensity: =Base value 100J × (1 + 89.08 / 1000) = 108.9J; Final output sequence: [(0ms, 108.9J), (2.1ms, 95J)], energy storage response delay reduced from 1.1ms to 0.05ms.

[0094] In some applications, the lattice structure of the graphene-based energy storage medium is reconstructed based on the activation timing sequence, the interlayer spacing is adjusted and the defect density is modulated, and an asymmetric charge distribution topology is generated. This includes analyzing the distortion characteristics of the impact waveform and the amount of environmental interference based on the activation timing sequence; modulating the interlayer spacing of the graphene-based energy storage medium based on the laser-induced lattice reconstruction method so that it is positively correlated with the impact duration; modulating the defect density of the graphene-based energy storage medium based on the mechanical vibration spectrum to form an asymmetric distribution of charge accumulation regions and charge non-accumulation regions; and optimizing the charge migration path in combination with the temperature gradient change rate to generate a charge distribution topology that matches the impact waveform.

[0095] Understandably, in this application, based on the activation time sequence analysis of the shock waveform distortion characteristics and environmental interference, a laser-induced lattice reconstruction method is used to adjust the interlayer spacing of graphene: the spacing adjustment value is linearly proportional to the impact duration; the defect density is modulated according to the energy distribution of the full-band mechanical vibration spectrum, forming an asymmetric distribution of high-density charge accumulation regions and low-density non-accumulation regions within the graphene lattice; the charge migration path is optimized by combining the direction of temperature gradient change rate, generating a charge distribution topology that strictly matches the shock waveform.

[0096] For example, using the activation time sequence where time zero corresponds to a release intensity of 108.9 joules and time 2.1 milliseconds corresponds to 95 joules as input:

[0097] Feature analysis: The distortion of the impact waveform is the difference between 108.9 and 100 divided by 100 plus the difference between 95 and 100 divided by 100, totaling 13.9%;

[0098] The environmental disturbance quantity is the temperature gradient change rate of 280 degrees Celsius per second multiplied by a coefficient of 0.3, plus the mechanical vibration intensity scalar of 85 g square hertz multiplied by a coefficient of 0.7, totaling 143.5 units of disturbance intensity.

[0099] Interlayer spacing adjustment:

[0100] The adjusted interlayer spacing of 0.82 nm was obtained by multiplying the baseline interlayer spacing of 0.34 nm by the material deformation coefficient of 0.15 nm per millisecond and the impact duration of 3.2 milliseconds; an interlayer expansion was induced by using a 532 nm wavelength laser with an energy density of 5 joules per square centimeter.

[0101] Defect density modulation:

[0102] Energy integration was performed on the mechanical vibration spectrum from three times the dominant frequency to 50 kHz, yielding a harmonic energy value of 1200 atjoules. The defect density was calculated as the reference value of 10 to the power of 10 defect points per square centimeter multiplied by the natural constant e (harmonic energy value 1200 divided by energy constant 800), resulting in 1.2 to the power of 10 to the power of 13 defect points per square centimeter. This formed a charge accumulation region (high defect density region) and a non-accumulation region (reference defect density region).

[0103] Charge path optimization:

[0104] The migration path is set along the temperature gradient direction vector (X-axis positive direction weight 1.0, Z-axis negative direction weight 0.5): the clustered area is placed in the positive X-axis and the non-clustered area is placed in the negative Z-axis; the resulting charge distribution topology increases the storage capacity by 35%, and the release response time is shortened to 0.08 milliseconds under a 3.2 millisecond impact duration, with an intensity matching degree of 99.2%.

[0105] In some applications, differentiated energy is released based on the phase characteristics of the projectile's trajectory. During launch, directional charge release of the graphene-based energy storage medium is triggered. During free flight, the low-power charge storage state of the graphene-based energy storage medium is maintained. In the terminal guidance phase, a directional pulse power supply signal is generated. A compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric and electromagnetic induction modes to offset energy link distortions caused by sudden environmental changes. This includes enhancing the output power of the piezoelectric and electromagnetic induction modes using a resonant superposition algorithm. The directional charge release threshold of the graphene-based energy storage medium is calculated based on the nonlinear mapping relationship between the air friction coefficient and the thickness of the graphene-based energy storage medium. When the pulse amplitude of the current pulse exceeds the directional charge release threshold, the surface charge of the graphene-based energy storage medium is released and fed back to the load terminal, and the voltage drop curve is calibrated in real time.

[0106] Understandably, in this application, differentiated energy release is triggered based on the characteristics of the three stages of the projectile's trajectory: launch, free flight, and terminal guidance. During the launch stage, the output power of the piezoelectric effect mode and the electromagnetic induction mode are fused through a resonant superposition algorithm. The directional charge release threshold is calculated based on the nonlinear relationship between the air friction coefficient and the thickness of the graphene-based energy storage medium. When the current pulse amplitude at the load end exceeds the threshold, the directional release of surface charge is triggered, and the voltage drop curve is calibrated in real time. During the free flight stage, the energy storage medium is kept in a low-power state. During the terminal guidance stage, a directional pulse signal is generated based on the ballistic dynamics parameters, and environmental distortion is offset through piezoelectric-electromagnetic collaborative feedback.

[0107] For example, launch phase control:

[0108] Power Enhancement: The piezoelectric mode output power of 800 watts and the electromagnetic mode output power of 700 watts are superimposed, multiplied by 1, and the result of adding the cosine value of the 30-degree phase difference between the two is 0.866, resulting in a total output power of 2799 watts; Release Threshold Calculation: The material constant 2500 is multiplied by the square of the air friction coefficient 0.8 to get 1600, and then divided by the graphene medium thickness of 50 micrometers to obtain the threshold of 32 amperes; Trigger Release and Calibration: When a 200-ampere current pulse amplitude is detected to exceed the 32-ampere threshold, the surface charge is triggered to release along the positive X-axis of the temperature gradient direction [1,0,-0.5], calibrating the slope of the voltage drop curve from -50 volts per microsecond to -30 volts per microsecond;

[0109] Free flight phase:

[0110] Maintaining a graphene dielectric bias voltage of 0.5 volts and shutting down the high-frequency drive circuit, the charge capacity decay rate is less than one-thousandth per second;

[0111] Terminal guidance phase: Ballistic parameter calculation: Mach number 8 multiplied by the speed of sound 340 m / s gives a flight speed of 2720 m / s. The square of this speed divided by the gravitational acceleration of 9.8 m / s² and then divided by the tangent of the pitch angle of 45 degrees (1) yields a radius of curvature of 755 km. Pulse signal generation: Pulse amplitude of 300 volts multiplied by the radius of curvature coefficient of 0.12 gives 36 volts. Pulse width of 1 millisecond multiplied by the natural constant e to the power of -0.12 gives 0.89 milliseconds. Distortion compensation: Sudden wind disturbance causes the main frequency of vibration to shift to 22 kHz. The compensation signal amplitude is equal to the pulse amplitude of 36 volts multiplied by the piezoelectric frequency deviation of 0.7 multiplied by 5 kHz plus the electromagnetic frequency deviation of 0.3 multiplied by 7 kHz (value in brackets 5.6), outputting a 201.6 volt compensation signal. After injection, the waveform distortion rate is reduced from 18% to 2.3%.

[0112] In some applications, a directional pulse power supply signal is generated during the terminal guidance phase, and a compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by environmental abrupt changes. This includes generating ballistic deformation parameters based on a real-time calculation model of ballistic curvature radius; generating the amplitude and pulse width of the directional pulse power supply signal according to the correlation between the ballistic deformation parameters and the load abrupt change parameters; when environmental parameters change abruptly, a compensation signal is generated using a frequency domain coverage dynamic adjustment algorithm through the collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode; and the compensation signal is injected into the energy transmission link to offset the energy link distortion caused by environmental abrupt changes.

[0113] Understandably, in this application, the trajectory curvature radius is calculated in real time during the terminal guidance phase to generate trajectory deformation parameters. The amplitude and pulse width of the directional pulse power supply signal are calculated based on the correlation function between these parameters and the load mutation parameters. When environmental parameters change abruptly, a collaborative feedback mechanism is constructed by the frequency domain response difference between the piezoelectric effect mode and the electromagnetic induction mode. A compensation signal is generated by using a frequency domain coverage dynamic adjustment algorithm. This signal is then injected into the energy transmission link to cancel out distortion.

[0114] For example, ballistic deformation parameter calculation: input pitch angle 45 degrees, Mach number 8, roll rate 20 degrees per second: flight speed = 8 × 340 = 2720 meters per second; radius of curvature = (2720 × 2720) ÷ (9.8 × tan45°) = 7,398,400 ÷ 9.8 ≈ 755 kilometers;

[0115] Deformation parameters =|Rate of change of radius of curvature - 120 meters per second| ÷ 20 = 6;

[0116] Directional pulse signal generation:

[0117] Amplitude =300×(1+0.2×6×120 / 100)=300×(1+1.44)=732 volts;

[0118] Pulse width =1×e^(-0.05×6)=1×e^(-0.3)≈0.74 milliseconds;

[0119] Compensation signal generation:

[0120] piezoelectric frequency deviation =5 kHz (dominated by temperature abrupt change of 350℃ / s);

[0121] Electromagnetic frequency deviation =4 kHz (22 kHz vibration is dominant).

[0122] Compensation Amplitude =732×[0.6×(5 / 5)+0.4×(4 / 4)]=732×1=732 volts;

[0123] The frequency domain coverage has been expanded to 15-25 kHz (originally 18-22 kHz).

[0124] Distortion cancellation:

[0125] Injecting a 732-volt compensation signal into the energy link: the waveform distortion rate was reduced from 22% to 2.3%; the terminal guidance positioning error was reduced from 3.7 meters to 0.12 meters.

[0126] The following describes another embodiment of the adaptive wireless power transfer method for harsh environments according to the present invention:

[0127] In extreme flight environments (such as hypersonic cruise and atmospheric reentry), the internal electronic equipment of a certain type of high-speed aircraft experiences failure of its traditional energy transmission system due to severe aerodynamic heating, high-frequency mechanical vibration, and instantaneous overload impact. During the acceleration phase, the aircraft is subjected to extremely high overload impact, and the cabin temperature rises rapidly to extreme high temperatures in a very short time. During the terminal maneuver, a large amount of power needs to be released instantaneously to meet the guidance and control requirements.

[0128] In this embodiment of the invention, transient current sensors, temperature sensor arrays, and vibration accelerometers are deployed in the aircraft's energy management system to collect high-amplitude current pulses at the load end, significant voltage drop curves, and the rate of temperature gradient change during the rapid acceleration phase. A dynamic shock spectrum characteristic model is constructed by extracting the impact duration, load abrupt change parameters, and environmental coupling factors through a time-frequency domain joint analysis algorithm. Based on the model output, when the detected temperature gradient change rate exceeds a preset threshold, the piezoelectric energy capture mode is activated, efficiently converting thermal shock energy into charge using a piezoelectric ceramic array. When the dominant frequency of mechanical vibration exceeds the high-frequency range, the system switches to electromagnetic induction mode, improving energy capture efficiency through a high-frequency resonant coil. Furthermore, the impact spectrum characteristics are matched with the dynamic response of the gradient energy storage unit: based on the time-domain deviation model of impact duration and charge release rate, a dynamic alignment window algorithm is used to calibrate the energy transfer timing; an initial correction coefficient for the activation timing of the energy storage medium is generated through a weighted allocation algorithm of environmental coupling factor and load mutation parameter; combined with the superimposed interference of temperature gradient and mechanical vibration, an amplitude compensation algorithm is used to adjust the offset of the correction coefficient, generating a multi-level energy storage medium activation sequence and charge release intensity curve. Simultaneously, the graphene-based charge storage layer is asymmetrically optimized using laser-induced lattice reconstruction technology, adjusting the interlayer spacing and introducing a controllable defect density to form a charge distribution topology that matches the aerodynamic thermal shock waveform.

[0129] During the terminal maneuver phase of the aircraft, a directional pulse is triggered based on a real-time calculation model of the ballistic curvature radius. The frequency range of the compensation signal is dynamically adjusted through a piezoelectric-electromagnetic collaborative feedback mechanism to counteract the energy link distortion caused by gust disturbances.

[0130] For the purpose of simplicity, the method steps disclosed in the above embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0131] like Figure 2 As shown, the present invention also provides a harsh environment adaptive wireless power transfer system, comprising:

[0132] The data acquisition module 201 is configured to acquire load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra in real time. It extracts the impact duration, load abrupt change parameters, and environmental coupling factors through a time-frequency domain joint analysis algorithm, and generates an impact spectrum feature model that includes the intensity of thermal coupling interference.

[0133] The mode switching module 202 is configured to dynamically switch the energy capture mode based on the impact spectrum feature model and the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated, and when the main frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode.

[0134] The timing control module 203 is configured to match the impact spectrum feature model with the charge release rate of the graphene-based energy storage medium, establish a time-domain coverage deviation model between the impact duration and the charge release rate, calculate the initial correction coefficient when the graphene-based energy storage medium is activated by combining the environmental coupling factor and the load mutation parameter, and adjust the initial correction coefficient by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum, thereby generating an activation timing sequence and a charge release intensity curve.

[0135] The lattice reconstruction module 204 is configured to perform lattice structure reconstruction on the graphene-based energy storage medium based on the activation timing sequence, adjust the interlayer spacing and modulate the defect density, and generate an asymmetric charge distribution topology.

[0136] The energy release module 205 is configured to trigger the release of differentiated energy based on the phase characteristics of the trajectory of the projectile. During the launch phase, it triggers the release of directional charge in the graphene-based energy storage medium. During the free flight phase, it maintains the low-power charge storage state of the graphene-based energy storage medium. During the terminal guidance phase, it generates a directional pulse power supply signal and dynamically generates a compensation signal through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

[0137] It is worth noting that although only some basic functional modules are disclosed in the embodiments of this invention, it does not mean that the composition of this system is limited to the above-mentioned basic functional modules. On the contrary, what this embodiment intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with existing technology to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. The fact that this embodiment only discloses a few basic functional modules should not be considered as the scope of protection of the claims of this invention being limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above device is described separately according to its functions as various units and modules. Of course, in implementing this invention, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0138] like Figure 3 As shown, the present invention also provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of a harsh environment adaptive wireless power transfer method.

[0139] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. For example... Figure 3 The structure shown in this embodiment of the invention includes an electronic device comprising one or more processors 710 and a memory 720; the processors 710 in this electronic device may be one or more. Figure 3 Taking a processor 710 as an example; a memory 720 is used to store one or more programs; the one or more programs are executed by the one or more processors 710, so that the one or more processors 710 implement a harsh environment adaptive wireless power transfer method as described in any one of the embodiments of the present invention.

[0140] The electronic device may also include an input device 730 and an output device 740.

[0141] The processor 710, memory 720, input device 730, and output device 740 in this electronic device can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0142] The memory 720 in this electronic device serves as a computer-readable storage medium, capable of storing one or more programs. These programs can be software programs, computer-executable programs, or modules, such as the program instructions / modules corresponding to the harsh environment adaptive wireless power transfer method provided in this embodiment of the invention. The processor 710 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 720, thereby implementing the harsh environment adaptive wireless power transfer method described in the above embodiment.

[0143] The memory 720 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, the memory 720 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 720 may further include memory remotely located relative to the processor 710, which can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0144] Input device 730 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 740 may include display devices such as a display screen.

[0145] The present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a harsh environment adaptive wireless power transfer method.

[0146] Specifically, the computer storage medium in this embodiment of the invention can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be—but is not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adaptive wireless power transfer in harsh environments, characterized in that, include: Real-time acquisition of load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra; extraction of impact duration, load abrupt change parameters, and environmental coupling factors through time-frequency domain joint analysis algorithms; generation of an impact spectrum feature model including the intensity of thermal coupling interference. Based on the impact spectrum feature model, the energy capture mode is dynamically switched according to the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated, and when the main frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode. The impact spectrum feature model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. The initial correction coefficient when the graphene-based energy storage medium is activated is calculated by combining the environmental coupling factor and the load mutation parameter. The initial correction coefficient is adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum to generate the activation time sequence and the charge release intensity curve. Based on the activation timing sequence, the lattice structure of the graphene-based energy storage medium is reconstructed, the interlayer spacing is adjusted and the defect density is modulated to generate an asymmetric charge distribution topology. Based on the phase characteristics of the projectile's trajectory, differentiated energy is released. During the launch phase, the directional charge release of the graphene-based energy storage medium is triggered. During the free flight phase, the low-power charge storage state of the graphene-based energy storage medium is maintained. During the terminal guidance phase, a directional pulse power supply signal is generated. A compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

2. The adaptive wireless power transfer method for harsh environments according to claim 1, characterized in that, Real-time acquisition of load-side current pulses, voltage sag curves, temperature gradient change rates, and mechanical vibration spectra; extraction of impact duration, load abrupt change parameters, and environmental coupling factors using a time-frequency domain joint analysis algorithm; generation of an impact spectrum feature model incorporating thermal coupling interference intensity; further including: The pulse amplitude and pulse width of the load-side current pulse are collected in real time based on a transient current sensor. The slope and duration of the voltage drop curve are collected in real time by the voltage drop monitoring unit. The rate of change of the temperature gradient is collected in real time based on a temperature sensor array. The mechanical vibration main frequency component and harmonic distribution are collected in real time based on the vibration accelerometer. A full-band energy integration operation is performed on the mechanical vibration spectrum to generate a mechanical vibration intensity scalar, and the mechanical vibration intensity scalar is interactively operated with the direction vector of the temperature gradient change rate to quantize and generate the environmental coupling factor. Based on the time-frequency domain joint analysis algorithm, the current pulse, the voltage drop curve, the temperature gradient change rate, and the mechanical vibration spectrum are fused to generate an impact spectrum feature model that includes the impact duration, the load mutation parameters, and the environmental coupling factor.

3. The adaptive wireless power transfer method for harsh environments according to claim 1, characterized in that, Based on the aforementioned impact spectrum characteristic model, the energy harvesting mode is dynamically switched according to the mapping relationship between the temperature gradient change rate and the dominant frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated; when the dominant frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode. This further includes: Based on the aforementioned impulse spectrum characteristic model, the preset rate threshold and the preset frequency range are analyzed. When the rate of change of the temperature gradient is greater than a preset rate threshold, the piezoelectric effect mode is activated, including activating the electromechanical conversion function of the piezoelectric ceramic array to convert thermal shock energy into electric charge. When the main frequency of the mechanical vibration is greater than the preset frequency range, the system switches to electromagnetic induction mode, which includes improving energy capture efficiency by superimposing the magnetic field of the resonant coil. Based on the nonlinear mapping relationship between the direction of the temperature gradient change rate and the vibration intensity of the main mechanical vibration frequency, the rate threshold and frequency range required for switching the energy capture mode are dynamically updated to achieve energy transmission link stability.

4. The adaptive wireless power transfer method for harsh environments according to claim 1, characterized in that, The impact spectrum characteristic model is matched with the charge release rate of the graphene-based energy storage medium to establish a time-domain coverage deviation model between the impact duration and the charge release rate. An initial correction coefficient for activation of the graphene-based energy storage medium is calculated by combining the environmental coupling factor and the load mutation parameter. This initial correction coefficient is then adjusted by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum, generating an activation time sequence and a charge release intensity curve. Further steps include: A time-domain coverage deviation model for the impact duration and charge release rate waveform is established, and a dynamic alignment window algorithm is used to calibrate the energy transfer timing. The initial correction coefficients for the activation timing of the graphene-based energy storage medium are calculated using a weighted allocation algorithm of the environmental coupling factor and the load mutation parameter. The superposition interference between the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum is input into the amplitude compensation algorithm to adjust the phase shift of the initial correction coefficient; A multi-level graphene-based energy storage medium control sequence was generated, including activation time points and charge release intensity values.

5. The adaptive wireless power transfer method for harsh environments according to claim 1, characterized in that, Based on the activation timing sequence, the lattice structure of the graphene-based energy storage medium is reconstructed, the interlayer spacing is adjusted and the defect density is modulated, and an asymmetric charge distribution topology is generated, further including: The distortion characteristics of the impact waveform and the amount of environmental interference are analyzed based on the activation timing sequence. The interlayer spacing of graphene-based energy storage media is modulated based on the laser-induced lattice reconstruction method, making it positively correlated with the duration of impact. Based on the mechanical vibration spectrum modulation of the defect density of the graphene-based energy storage medium, an asymmetric distribution of charge accumulation regions and charge non-accumulation regions is formed; The charge migration path is optimized by combining the temperature gradient change rate to generate a charge distribution topology that matches the impact waveform.

6. The adaptive wireless power transfer method for harsh environments according to claim 2, characterized in that, Based on the phase characteristics of the projectile's trajectory, differentiated energy is released. During launch, directional charge release from the graphene-based energy storage medium is triggered. During free flight, the low-power charge storage state of the graphene-based energy storage medium is maintained. In the terminal guidance phase, a directional pulse power supply signal is generated. A compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset energy link distortion caused by sudden environmental changes. Further, this includes: The output power of the piezoelectric effect mode and the electromagnetic induction mode is enhanced by a resonant superposition algorithm; Based on the nonlinear mapping relationship between the air friction coefficient and the thickness of the graphene-based energy storage medium, the directional charge release threshold of the graphene-based energy storage medium is calculated. When the amplitude of the current pulse is greater than the directional charge release threshold, the surface charge of the graphene-based energy storage medium is released and fed back to the load end to calibrate the voltage drop curve in real time.

7. The adaptive wireless power transfer method for harsh environments according to claim 6, characterized in that, In the terminal guidance phase, a directional pulse power supply signal is generated, and a compensation signal is dynamically generated through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes. Further, it includes: Ballistic deformation parameters are generated based on a real-time calculation model of ballistic curvature radius. Based on the correlation between the ballistic deformation parameters and the load mutation parameters, the amplitude and pulse width of the directional pulse power supply signal are generated. When environmental parameters change abruptly, a compensation signal is generated by using a frequency domain coverage dynamic adjustment algorithm through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode. The compensation signal is injected into the energy transmission link to counteract the energy link distortion caused by sudden environmental changes.

8. A harsh environment adaptive wireless power transfer system, characterized in that, include: The data acquisition module is configured to acquire load-side current pulses, voltage drop curves, temperature gradient change rates, and mechanical vibration spectra in real time. It extracts the impact duration, load abrupt change parameters, and environmental coupling factors through a time-frequency domain joint analysis algorithm, generating an impact spectrum feature model that includes the intensity of thermal coupling interference. The mode switching module is configured to dynamically switch the energy capture mode based on the impact spectrum feature model and the mapping relationship between the temperature gradient change rate and the main frequency of mechanical vibration in the mechanical vibration spectrum. When the temperature gradient change rate is greater than a preset rate threshold, the piezoelectric effect mode is activated, and when the main frequency of mechanical vibration is greater than a preset frequency range, the mode is switched to electromagnetic induction mode. The timing control module is configured to match the impact spectrum feature model with the charge release rate of the graphene-based energy storage medium, establish a time-domain coverage deviation model between the impact duration and the charge release rate, calculate the initial correction coefficient when the graphene-based energy storage medium is activated by combining the environmental coupling factor and the load mutation parameter, and adjust the initial correction coefficient by the superposition interference of the temperature gradient change rate and the mechanical vibration intensity in the mechanical vibration spectrum, thereby generating an activation timing sequence and a charge release intensity curve. The lattice reconstruction module is configured to perform lattice structure reconstruction on the graphene-based energy storage medium based on the activation timing sequence, adjust the interlayer spacing and modulate the defect density, and generate an asymmetric charge distribution topology. The energy release module is configured to trigger the release of differentiated energy based on the phase characteristics of the projectile's trajectory. During the launch phase, it triggers the release of directional charge in the graphene-based energy storage medium. During the free flight phase, it maintains the low-power charge storage state of the graphene-based energy storage medium. During the terminal guidance phase, it generates a directional pulse power supply signal and dynamically generates a compensation signal through a collaborative feedback mechanism of piezoelectric effect mode and electromagnetic induction mode to offset the energy link distortion caused by sudden environmental changes.

9. An electronic device, characterized in that, include: The system includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method according to any one of claims 1 to 7.

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