Automatic calibration method and system for wireless charging of electric vehicle, medium and program product

Abstract

The invention discloses an automatic calibration method and system for wireless charging of an electric vehicle, a medium and a program product, and relates to the field of electric energy storage systems. Acquiring a signal amplitude difference between units of the antenna array, acquiring a phase difference between the units of the antenna array, and generating an initial phase adjustment parameter and an initial amplitude adjustment parameter; the antenna array is adjusted for the first time, and the AC-DC conversion efficiency after adjustment is obtained; if the adjusted AC-DC conversion efficiency is smaller than the target efficiency, adjusting the parameters of the adjustable capacitance / inductance network until the target resonant frequency is obtained; generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency; and controlling each unit of the antenna array to perform beam forming according to the final phase adjustment parameter and the final amplitude adjustment parameter, and adjusting the transmitting frequency to the target resonant frequency. The method is used for keeping the stability of wireless charging of the vehicle when the position of the vehicle or the external environment changes, and the charging performance is improved.

Description

Technical Field

[0001] This application belongs to the field of electric energy storage systems, and in particular relates to an electric vehicle wireless charging automatic calibration method and system, medium and program product Background Art

[0002] With the rapid development of the new energy vehicle industry, the convenience and safety of electric vehicle charging methods are gaining increasing attention. Traditional wired charging methods require manual operation of high-voltage charging equipment, which can be inconvenient and pose safety risks. To address these issues, wireless charging technology has emerged. Using electromagnetic induction to achieve contactless charging, it eliminates the need for manual plugging and unplugging of charging ports, improving the safety and convenience of the charging process.

[0003] In related technologies, a wireless charging system for electric vehicles can be used. This system includes a transmitter and a receiver, and uses magnetic coupling resonance to achieve wireless power transmission. This system uses fixed transmitting and receiving coils for energy transfer. This technology overcomes the shortcomings of traditional wired charging, achieving contactless charging and improving the safety of the charging process.

[0004] However, in complex practical application environments, the system's charging efficiency is difficult to maintain stable, especially when the vehicle position or external environment changes. Since the magnetic field coupling strength is highly sensitive to the coil position and is easily disturbed by the external environment, the system's charging efficiency is difficult to maintain stable, which reduces the charging performance. Summary of the Invention

[0005] The present application provides an automatic calibration method and system for wireless charging of electric vehicles, a medium, and a program product, which are used to maintain the stability of vehicle wireless charging and improve charging performance when the vehicle position or external environment changes.

[0006] In a first aspect, the present application provides an automatic calibration method for wireless charging of an electric vehicle, which collects charging parameters at the receiving end, including radio frequency signal strength, signal phase consistency, and AC-DC conversion efficiency; Feedback of charging parameters to the transmitter via a wireless communication link; Obtain the signal amplitude difference between each element of the antenna array according to the RF signal strength, and obtain the phase difference between each element of the antenna array according to the signal phase consistency, and generate initial phase adjustment parameters and initial amplitude adjustment parameters; Performing an initial adjustment on the antenna array according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain an adjusted AC-DC conversion efficiency; If the adjusted AC-DC conversion efficiency is less than the target efficiency, the parameters of the adjustable capacitor / inductor network are adjusted according to the AC-DC conversion efficiency until the target resonant frequency is obtained; generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency; Each unit of the antenna array is controlled to perform beamforming according to the final phase adjustment parameter and the final amplitude adjustment parameter, and the transmission frequency is adjusted to the target resonant frequency.

[0007] By adopting the above technical solution, the charging parameters of the receiving end are collected and fed back to the transmitting end. The initial adjustment parameters are generated based on the RF signal strength and signal phase consistency. The adjustable capacitor / inductor network parameters are then adjusted based on the AC-DC conversion efficiency to obtain the target resonant frequency. Finally, the final adjustment parameters are generated and applied for beamforming, realizing automatic calibration of the signal amplitude and phase between each unit of the antenna array. This calibration method eliminates the subjectivity and uncertainty of manual debugging and improves debugging accuracy and efficiency. By real-time monitoring and adjustment of charging parameters through closed-loop feedback, the system can always maintain the optimal working state, improving the energy transmission efficiency of the wireless charging system. By precisely adjusting the antenna array and optimizing the resonant frequency, this method improves the electromagnetic field coupling effect between the transmitting and receiving ends, reduces the loss during energy transmission, and ensures that the entire wireless charging system always operates in the optimal state.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, performing an initial adjustment on the antenna array according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain the adjusted AC-DC conversion efficiency specifically includes: The phase of each element of the antenna array is adjusted in sequence according to the initial phase adjustment parameters and the preset adjustment step size. After each phase adjustment of a unit, a temporary AC-DC conversion efficiency is obtained, and the phase corresponding to the maximum temporary AC-DC conversion efficiency is taken as the optimal phase of the unit; Based on the optimal phase according to the initial amplitude adjustment parameters, the amplitude of each element of the antenna array is adjusted in sequence according to the preset adjustment step size. After each adjustment of the amplitude of a unit, a new temporary AC-DC conversion efficiency is obtained, and the amplitude corresponding to the maximum new temporary AC-DC conversion efficiency is used as the optimal amplitude of the unit; Generate an array adjustment matrix according to the optimal phase and optimal amplitude of each unit; The array adjustment matrix is ​​applied to the antenna array to obtain an adjusted AC-DC conversion efficiency.

[0009] By adopting the above technical solution, the phase and amplitude of each element of the antenna array are adjusted sequentially using a preset adjustment step size. The optimal phase and amplitude are determined by comparing the temporary AC-DC conversion efficiency after each adjustment, and an array adjustment matrix is ​​generated to achieve overall adjustment of the antenna array. By optimizing the phase and amplitude parameters separately, the complexity of parameter optimization is reduced and the efficiency of parameter optimization is improved. The feedback mechanism based on the temporary AC-DC conversion efficiency ensures that each adjustment step is carried out in the direction of improving system performance. The resulting array adjustment matrix can enable the antenna array to achieve optimal working state and achieve improved charging efficiency.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency specifically includes: Within a preset frequency range centered on the target resonant frequency, the antenna array is used to collect signal phase consistency and RF signal strength at different frequencies. The phase correction parameter is calculated based on the signal phase consistency corresponding to the target resonant frequency, and the phase correction parameter is weightedly superimposed with the initial phase adjustment parameter to obtain the final phase adjustment parameter; Based on the RF signal strength corresponding to the target resonant frequency, an amplitude correction parameter is calculated, and the amplitude correction parameter is weightedly superimposed with the initial amplitude adjustment parameter to obtain a final amplitude adjustment parameter.

[0011] By adopting the above technical solution, the signal parameters of the antenna array at different frequency points within a preset frequency range are collected. By calculating the phase correction parameters and amplitude correction parameters and performing a weighted superposition with the initial adjustment parameters, the final adjustment parameters that take frequency characteristics into account are obtained. This parameter optimization method based on frequency domain characteristics overcomes the defect that optimization at only a single frequency point is easily affected by frequency fluctuations, and improves the stability and robustness of the system during actual operation. By analyzing and compensating for the signal characteristics of frequency points near the target resonant frequency, the system can maintain good charging performance even with slight frequency offsets, enhancing the system's adaptability to frequency disturbances and ensuring the reliable operation of the wireless charging system in various working environments.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, after adjusting the transmit frequency to the target resonant frequency, the method further includes: Collecting the radio frequency signal strength at the first moment and the radio frequency signal strength at the second moment; Calculating the difference between the radio frequency signal strength at the first moment and the radio frequency signal strength at the second moment; When the difference is greater than a preset threshold, ambient RF noise data is collected; When it is determined that an interference signal adjacent to the target resonant frequency exists in the environmental radio frequency noise data, the frequency interval and signal strength ratio of the interference signal are calculated; Determining whether the frequency interval is less than a first preset threshold and whether the signal strength ratio is greater than a second preset threshold; When the frequency interval is less than a first preset threshold and the signal strength ratio is greater than a second preset threshold, a frequency offset is calculated based on the frequency interval, and the frequency offset is added to the target resonant frequency to obtain an anti-interference resonant frequency; When the frequency interval is not less than the first preset threshold or the signal strength ratio is not less than the second preset threshold, the target resonant frequency is kept unchanged and the target resonant frequency is used as the anti-interference resonant frequency; Adjust the transmission frequency to the anti-interference resonant frequency and collect the AC-DC conversion efficiency after secondary adjustment; When the AC-DC conversion efficiency after the secondary adjustment is less than the target efficiency, the process returns to the step of adjusting the parameters of the adjustable capacitor / inductor network according to the AC-DC conversion efficiency.

[0013] By adopting the above technical solution, potential interference signals can be detected in a timely manner by real-time monitoring of changes in RF signal strength, and the system's operating frequency can be adaptively adjusted based on the frequency interval and signal strength ratio of the interference signal. When significant interference is detected, the system can intelligently calculate the frequency offset and adjust it to the anti-interference resonant frequency, effectively avoiding external interference while ensuring charging efficiency. This method establishes a complete set of interference detection and frequency adjustment mechanisms. By analyzing and evaluating environmental RF noise, the system can maintain stable charging performance in complex electromagnetic environments. Combined with the secondary inspection of AC-DC conversion efficiency and closed-loop control of parameter adjustment, it ensures that the system can maintain optimal charging efficiency in the presence of external interference, thereby improving the adaptability and reliability of the wireless charging system in actual application environments.

[0014] In conjunction with some embodiments of the first aspect, in some embodiments, calculating the frequency interval and signal strength ratio of the interference signal specifically includes: Obtain the center frequency of the interference signal; Calculate the absolute value of the difference between the center frequency of the interference signal and the target resonant frequency to obtain the frequency interval; Obtaining the signal strength of the interference signal and the radio frequency signal strength corresponding to the target resonant frequency; The signal strength ratio is obtained by dividing the signal strength of the interference signal by the radio frequency signal strength corresponding to the target resonant frequency.

[0015] By adopting the above technical solution, the frequency interval is obtained by obtaining the center frequency of the interference signal and calculating the difference between it and the target resonant frequency. At the same time, the signal strength ratio is obtained by obtaining the ratio of the interference signal strength to the RF signal strength corresponding to the target resonant frequency. This calculation method can accurately quantify the impact of the interference signal on the target resonant frequency. The frequency interval can be used to evaluate the frequency domain overlap between the interference signal and the target signal, and the signal strength ratio can be used to evaluate the relative strength level of the interference signal. These two indicators together constitute the basis for judging the severity of the interference, enabling the system to decide whether frequency adjustment is needed based on objective data. When there is significant interference, the system can take corresponding frequency offset measures accordingly; when the interference is weak, the original frequency can be maintained, thereby achieving a balance between ensuring charging efficiency and anti-interference ability.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, before collecting the ambient radio frequency noise data, the method further includes: Get the operating frequency range of the antenna array; Within the working frequency band, set multiple frequency points for scanning sampling; The sampling data of multiple frequency points are filtered to obtain the environmental radio frequency noise data.

[0017] By adopting this technical solution, a comprehensive picture of the ambient RF noise distribution can be obtained by scanning and sampling multiple frequencies within the antenna array's operating frequency band. This method not only detects interference sources with fixed frequencies, but also detects interference signals with potentially drifting frequencies, improving the wireless charging system's adaptability in complex electromagnetic environments.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, filtering the sampled data at multiple frequency points to obtain ambient radio frequency noise data specifically includes: Calculate the mean and standard deviation of the sampling data at multiple frequency points; Eliminate abnormal sampling data that deviates from the mean by more than a preset multiple of the standard deviation; The remaining sampled data are weighted averaged to obtain the ambient RF noise data.

[0019] By adopting this technical solution, reliable ambient RF noise data is obtained by calculating the mean and standard deviation of multiple frequency sampling data, eliminating abnormal sampling data that deviates from the mean by more than a preset multiple of the standard deviation, and then taking a weighted average of the remaining sampling data. This improves the accuracy of ambient RF noise assessment, allowing the system to make frequency adjustment decisions based on more reliable data, thereby enhancing the anti-interference performance of the wireless charging system.

[0020] In a second aspect, an embodiment of the present application provides an electric vehicle wireless charging automatic calibration system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions, which, when executed on a system, enables the system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer program product, which, when executed on a system, enables the system to execute the method described in any possible implementation manner in the first aspect.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. The present application provides an automatic calibration method for wireless charging of electric vehicles. By collecting the charging parameters of the receiving end and feeding them back to the transmitting end, the initial adjustment parameters are generated according to the RF signal strength and signal phase consistency, and then the adjustable capacitor / inductor network parameters are adjusted based on the AC-DC conversion efficiency to obtain the target resonant frequency. Finally, the final adjustment parameters are generated and applied for beamforming, thereby realizing automatic calibration of the signal amplitude and phase between each unit of the antenna array. This calibration method eliminates the subjectivity and uncertainty of manual debugging and improves the debugging accuracy and efficiency. By real-time monitoring and adjustment of charging parameters through closed-loop feedback, the system can always maintain the optimal working state, thereby improving the energy transmission efficiency of the wireless charging system. This method improves the electromagnetic field coupling effect between the transmitting end and the receiving end by accurately adjusting the antenna array and optimizing the resonant frequency, reduces the loss during energy transmission, and ensures that the entire wireless charging system always operates in the optimal state.

[0024] 2. The present application provides an automatic calibration method for wireless charging of electric vehicles. By real-time monitoring of changes in radio frequency signal strength, potential interference signals can be detected in a timely manner, and the operating frequency of the system can be adaptively adjusted according to the frequency interval and signal strength ratio of the interference signal. When significant interference is detected, the system can intelligently calculate the frequency offset and adjust it to the anti-interference resonant frequency, effectively avoiding external interference while ensuring charging efficiency. This method establishes a complete set of interference detection and frequency adjustment mechanisms. By analyzing and evaluating environmental radio frequency noise, the system can maintain stable charging performance in a complex electromagnetic environment. Combined with the secondary inspection of AC-DC conversion efficiency and closed-loop control of parameter adjustment, it ensures that the system can maintain optimal charging efficiency in the presence of external interference, thereby improving the adaptability and reliability of the wireless charging system in actual application environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of an automatic calibration method for wireless charging of an electric vehicle in an embodiment of the present application.

[0026] Figure 2 It is a flow chart of an improved method with anti-interference capability in an embodiment of the present application.

[0027] Figure 3 This is a schematic diagram of the physical device structure of an electric vehicle wireless charging automatic calibration system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and appended claims of this application, the singular expressions "a," "an," "said," "above," "the," and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0030] The following uses an embodiment and combines Figure 1 , describes an automatic calibration method for wireless charging of an electric vehicle in an embodiment of the present application: See also Figure 1 , which is a flow chart of an automatic calibration method for wireless charging of an electric vehicle in an embodiment of the present application.

[0031] S101, collecting charging parameters from the receiving end, and feeding back the charging parameters to the transmitting end via a wireless communication link; The system collects charging parameters at the receiving end, including RF signal strength, signal phase consistency, and AC-DC conversion efficiency, and feeds these parameters back to the transmitting end via a wireless communication link.

[0032] In this step, the system first collects charging parameters from the receiver. These parameters include, but are not limited to, RF signal strength, signal phase consistency, and AC-DC conversion efficiency, which reflect the charging status and efficiency of the receiver. The system can obtain these parameters through various sensors and measurement circuits, such as using an RF power detector to measure RF signal strength, a phase detection circuit to measure signal phase consistency, and an efficiency measurement circuit to measure AC-DC conversion efficiency.

[0033] After acquiring the charging parameters, the system feeds them back to the transmitter via a wireless communication link. This wireless communication link can use various wireless communication technologies, such as Bluetooth, Wi-Fi, and ZigBee. The system encapsulates the charging parameters into a data packet and sends it to the transmitter via the wireless communication module. After receiving the feedback, the transmitter can adjust its operating state based on these parameters to optimize charging efficiency.

[0034] S102: Obtaining a signal amplitude difference between each element of the antenna array based on the radio frequency signal strength, and obtaining a phase difference between each element of the antenna array based on the signal phase consistency, to generate an initial phase adjustment parameter and an initial amplitude adjustment parameter; In this step, the system calculates the signal amplitude and phase differences between each element in the antenna array based on the RF signal strength and signal phase consistency fed back by the receiver. An antenna array consists of multiple antenna elements, and the RF signal strength and phase received by each antenna element may vary, resulting in a decrease in the overall reception performance of the array. Therefore, the signal amplitude and phase of each antenna element must be adjusted to improve the array's reception performance.

[0035] The system can use various algorithms to calculate the signal amplitude and phase differences between antenna elements, such as the minimum mean square error (MMSE) algorithm and the maximum signal-to-noise ratio (SNR) algorithm. These algorithms optimize a specific objective function (such as minimizing the MSE or maximizing the SNR) to find the optimal signal amplitude and phase differences. The resulting signal amplitude and phase differences can be used as initial phase and amplitude adjustment parameters for subsequent antenna array adjustments.

[0036] In some cases, the measured values ​​of RF signal strength and phase congruence may contain noise and interference, affecting the accuracy of the signal amplitude and phase difference calculations. To improve calculation accuracy, the system can use algorithms such as Kalman filtering to filter and smooth the measured values ​​to remove the effects of noise and interference. Furthermore, the system can improve measurement accuracy by averaging multiple measurements to reduce the impact of random errors.

[0037] S103, performing an initial adjustment on the antenna array according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain an adjusted AC-DC conversion efficiency; The system performs an initial adjustment on the antenna array according to the initial phase adjustment parameters and the initial amplitude adjustment parameters to obtain the adjusted AC-DC conversion efficiency, specifically including: adjusting the phase of each unit of the antenna array in sequence according to the initial phase adjustment parameters according to a preset adjustment step size, obtaining a temporary AC-DC conversion efficiency after each adjustment of the phase of a unit, and taking the phase corresponding to the maximum temporary AC-DC conversion efficiency as the optimal phase of the unit; adjusting the amplitude of each unit of the antenna array in sequence according to the preset adjustment step size on the basis of the optimal phase according to the initial amplitude adjustment parameters, obtaining a new temporary AC-DC conversion efficiency after each adjustment of the amplitude of a unit, and taking the amplitude corresponding to the maximum new temporary AC-DC conversion efficiency as the optimal amplitude of the unit; generating an array adjustment matrix according to the optimal phase and optimal amplitude of each unit; and applying the array adjustment matrix to the antenna array to obtain the adjusted AC-DC conversion efficiency.

[0038] In this step, the system performs an initial adjustment of the antenna array based on the initial phase and amplitude adjustment parameters calculated in the previous step. This adjustment aims to ensure that the signal amplitude and phase of each antenna element are as consistent as possible, thereby improving the overall reception performance of the array. This adjustment is achieved by controlling the phase shifters and attenuators of each antenna element. The phase shifters adjust the signal phase, while the attenuators adjust the signal amplitude.

[0039] During the adjustment process, the system can use an iterative optimization approach, adjusting only one antenna element at a time. After the adjustment is complete, the AC-DC conversion efficiency is measured and compared with the previous measurement. If the efficiency has improved, the adjustment is retained; otherwise, the adjustment is canceled and the next antenna element is adjusted. This iterative optimization approach can gradually approach the optimal adjustment parameters, avoiding the problem of efficiency degradation caused by a one-time adjustment.

[0040] In some cases, the physical structure and layout of the antenna array can affect the effectiveness of adjustments, such as coupling between antenna elements or inconsistent orientation and polarization. To address these issues, the system can incorporate more complex array optimization algorithms, such as genetic algorithms and particle swarm optimization, to intelligently search for optimal adjustment parameters. Furthermore, the system can modify and compensate initial adjustment parameters based on the physical model of the antenna array and electromagnetic simulation results to adapt to the actual operating environment.

[0041] S104: If the adjusted AC-DC conversion efficiency is less than the target efficiency, adjusting the parameters of the adjustable capacitor / inductor network according to the AC-DC conversion efficiency until the target resonant frequency is obtained; In this step, the system determines whether the AC-DC conversion efficiency after initial adjustment has reached the preset target efficiency. If it does not, adjusting the antenna array's signal amplitude and phase alone is insufficient; the receiver's resonant circuit must also be adjusted to achieve optimal resonant operation.

[0042] The resonant circuit at the receiving end typically consists of adjustable capacitors and inductors. Adjusting the capacitor and inductor parameters can change the circuit's resonant frequency. Based on the current AC-DC conversion efficiency, the system uses optimization algorithms (such as gradient descent and Newton's method) to calculate the adjustment direction and step size for the capacitor and inductor parameters, continuously improving the AC-DC conversion efficiency until the target efficiency is reached or the algorithm converges.

[0043] During the resonant circuit adjustment process, the system needs to monitor changes in AC-DC conversion efficiency in real time and dynamically adjust the optimization algorithm parameters based on feedback to adapt to different operating conditions. Furthermore, to avoid oscillation or instability during the adjustment process, the system can set reasonable adjustment steps and thresholds to constrain and limit the adjustment process.

[0044] S105, generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency; The system generates the final phase adjustment parameters and the final amplitude adjustment parameters according to the target resonant frequency, specifically including: collecting the signal phase consistency and RF signal strength of the antenna array at different frequency points within a preset frequency range centered on the target resonant frequency; calculating the phase correction parameters based on the signal phase consistency corresponding to the target resonant frequency, and weightedly superimposing the phase correction parameters with the initial phase adjustment parameters to obtain the final phase adjustment parameters; calculating the amplitude correction parameters based on the RF signal strength corresponding to the target resonant frequency, and weightedly superimposing the amplitude correction parameters with the initial amplitude adjustment parameters to obtain the final amplitude adjustment parameters.

[0045] In this step, the system calculates the final phase and amplitude adjustment parameters for the antenna array based on the target resonant frequency obtained in the previous step. Since the parameters of the resonant circuit have changed, the optimal operating state of the antenna array may also change, requiring recalculation of the adjustment parameters.

[0046] The process for calculating the final adjustment parameters is similar to step S102. The system collects the RF signal strength and phase consistency of the antenna array at the target resonant frequency and uses an optimization algorithm to calculate the signal amplitude and phase differences of each antenna element. The difference is that the calculation results are obtained at the target resonant frequency, so they better reflect the optimal adjustment parameters under actual operating conditions.

[0047] During the calculation process, the system can incorporate prior knowledge and empirical models to improve efficiency and accuracy. For example, based on historical data and simulation results, the system can establish a mapping between resonant frequency and optimal adjustment parameters. When the resonant frequency changes, the corresponding adjustment parameters can be quickly retrieved from a table without having to perform complex recalculations.

[0048] Furthermore, to adapt to environmental changes and device aging, the system can periodically or irregularly recalculate the final adjustment parameters to ensure the charging system always operates at its optimal state. Furthermore, the system can store the final adjustment parameters and use them as the initial parameters for the next charge, accelerating adjustment and improving efficiency.

[0049] S106 : Control each unit of the antenna array to perform beamforming according to the final phase adjustment parameter and the final amplitude adjustment parameter, and adjust the transmission frequency to the target resonant frequency.

[0050] In this step, the system controls the antenna array elements to perform beamforming based on the final phase and amplitude adjustment parameters calculated in the previous step. The goal of beamforming is to focus the radiated energy of the antenna array in a specific direction, improving the efficiency and distance of energy transmission.

[0051] The system can change the array's radiation pattern by controlling the signal amplitude and phase of each antenna element. Specifically, based on the final adjustment parameters, the system calculates the excitation current and excitation phase for each antenna element and loads these parameters into the antenna array's control circuit, causing each antenna element to radiate according to the preset amplitude and phase. This allows the antenna array to form a high-gain beam in a specified direction, radiating more energy to the receiving end.

[0052] While beamforming is in progress, the system also needs to adjust the transmit frequency to the target resonant frequency to ensure that the resonant circuits on the transmitter and receiver operate at the same frequency, thereby achieving maximum energy transfer efficiency. This can be achieved by changing the parameters of the transmitter's oscillator circuit (such as capacitance and inductance) or by controlling the transmitter's frequency synthesizer.

[0053] In actual applications, the position and posture of the receiver may change due to factors such as environmental noise and obstruction, resulting in changes in the optimal beam direction. To adapt to these changes, the system can introduce an adaptive beamforming algorithm. By tracking the position and posture of the receiver in real time, it dynamically adjusts the antenna array's beam direction, always aligning the beam with the receiver and ensuring stable and reliable energy transmission. Furthermore, the system can dynamically adjust the transmit power and coupling coefficient based on feedback from the receiver (such as received power and coupling coefficient) to achieve optimal charging results.

[0054] In the above embodiment, by collecting the charging parameters of the receiving end and feeding them back to the transmitting end, initial adjustment parameters are generated according to the RF signal strength and signal phase consistency, and then the adjustable capacitor / inductor network parameters are adjusted based on the AC-DC conversion efficiency to obtain the target resonant frequency. Finally, the final adjustment parameters are generated and applied for beamforming, thereby realizing automatic calibration of the signal amplitude and phase between each unit of the antenna array. This calibration method eliminates the subjectivity and uncertainty of manual debugging and improves the debugging accuracy and efficiency. By real-time monitoring and adjustment of charging parameters through closed-loop feedback, the system can always maintain the optimal working state, thereby improving the energy transmission efficiency of the wireless charging system. This method improves the electromagnetic field coupling effect between the transmitting end and the receiving end by accurately adjusting the antenna array and optimizing the resonant frequency, reduces the loss during energy transmission, and ensures that the entire wireless charging system always operates in the optimal state.

[0055] The above embodiment describes the basic process of the wireless charging automatic calibration method. By optimizing and adjusting the antenna array parameters and resonant frequency, the efficient operation of the charging system is achieved. However, in actual applications, interference from the external electromagnetic environment may affect the stability of the system, resulting in a decrease in charging efficiency. In order to solve this problem, an improved method with anti-interference ability is introduced below. This method dynamically adjusts the system operating frequency to cope with electromagnetic interference in the environment by monitoring the changes in the RF signal strength in real time. Figure 2 , an improved method with anti-interference capability in an embodiment of the present application is described: See also Figure 2 , which is a flow chart of an improved method with anti-interference capability in an embodiment of the present application.

[0056] S201, collecting radio frequency signal strength at a first moment and radio frequency signal strength at a second moment; In this step, the system collects RF signal strength at different times to subsequently determine whether electromagnetic interference is present in the environment. RF signal strength indicates the operating status of the wireless charging system. When the external environment changes, the RF signal strength also changes accordingly. Therefore, by monitoring changes in RF signal strength, it is possible to determine whether electromagnetic interference is present.

[0057] The system can acquire RF signal strength in a variety of ways, including using specialized instruments like RF power detectors and spectrum analyzers, or indirectly through signal processing circuitry at the receiving end. To improve the temporal resolution and sensitivity of the acquisition, the system can employ high-speed sampling and digitization to convert the RF signal into a digital signal for analysis and recording.

[0058] In some cases, the RF signal strength may fluctuate randomly due to the influence of the external environment. To reduce the impact of such fluctuations on the judgment results, the system can perform smoothing filtering on the collected RF signal strength, such as using algorithms such as sliding average filters and Kalman filters, to eliminate high-frequency noise and glitches, thereby improving signal stability and reliability.

[0059] S202, calculating the difference between the radio frequency signal strength at the first moment and the radio frequency signal strength at the second moment; In this step, the system calculates the difference in RF signal strength at different times to determine whether the signal strength has changed significantly. If the difference is small, the signal strength is relatively stable and there may be no significant electromagnetic interference in the environment. Conversely, if the difference is large, it indicates that the signal strength has fluctuated and there may be a source of electromagnetic interference in the environment.

[0060] The system can use a variety of methods to calculate the difference in RF signal strength, such as calculating the absolute value of the difference in signal strength between two moments, calculating the rate of change of signal strength, etc. To reduce computational complexity and save storage space, the system can only record the difference in signal strength between two adjacent moments, without having to store the complete signal strength time series.

[0061] S203, when the difference is greater than a preset threshold, collecting environmental radio frequency noise data; When the difference is greater than a preset threshold, the operating frequency band range of the antenna array is obtained; within the operating frequency band range, multiple frequency points are set for scanning sampling; the sampling data of the multiple frequency points are filtered to obtain the environmental RF noise data, specifically including: calculating the mean and standard deviation of the sampling data of the multiple frequency points; eliminating abnormal sampling data that deviates from the mean by more than a preset multiple of the standard deviation; and performing weighted averaging on the remaining sampling data to obtain the environmental RF noise data.

[0062] In this step, when the difference in RF signal strength exceeds a preset threshold, the system begins collecting RF noise data. This data reflects the spectral characteristics and intensity distribution of electromagnetic interference in the environment. By analyzing this data, the type and location of the interference source can be determined, providing a basis for subsequent interference suppression and frequency adjustment.

[0063] The process of collecting RF noise data can be divided into the following steps: First, the system needs to obtain the operating frequency band of the antenna array and determine the frequency range to be scanned. Then, the system sets multiple sampling frequencies within this frequency range and scans and samples each frequency point to obtain a set of time domain sampled data. The system then preprocesses the sampled data, such as removing the DC component, windowing, and filtering, to improve the signal-to-noise ratio and spectral resolution. Finally, the system performs spectral analysis on the preprocessed sampled data to obtain the spectral density distribution of the RF noise.

[0064] During the RF noise data collection process, some abnormal sampling data may appear, such as sampling points with unusually large amplitudes due to temporary interference. To prevent these abnormal data from affecting the analysis results, the system can detect and eliminate anomalies in the sampled data. A common anomaly detection method is based on statistical hypothesis testing. This method assumes that normal data follows a known probability distribution (such as a Gaussian distribution), calculates the mean and standard deviation of the sampled data, and then eliminates abnormal data that deviates from the mean by more than a preset multiple of the standard deviation. After eliminating the abnormal data, the system performs a weighted average on the remaining sampled data to obtain a more stable and reliable RF noise spectrum estimate.

[0065] S204. When it is determined that an interference signal adjacent to the target resonant frequency exists in the ambient radio frequency noise data, calculate the frequency interval and signal strength ratio of the interference signal; When it is determined that there is an interference signal adjacent to the target resonant frequency in the ambient RF noise data, the frequency interval and signal strength ratio of the interference signal are calculated, specifically including: obtaining the center frequency of the interference signal; calculating the absolute value of the difference between the center frequency of the interference signal and the target resonant frequency to obtain the frequency interval; obtaining the signal strength of the interference signal and the RF signal strength corresponding to the target resonant frequency; and dividing the signal strength of the interference signal by the RF signal strength corresponding to the target resonant frequency to obtain the signal strength ratio.

[0066] In this step, the system analyzes the collected RF noise data to determine whether there are any interfering signals adjacent to the target resonant frequency. If such an interfering signal is present, the system further calculates the frequency separation and signal strength ratio between the interfering signal and the target resonant frequency for subsequent interference assessment and frequency adjustment.

[0067] To determine whether adjacent interfering signals exist, the system performs peak detection on the spectrum of the RF noise data, identifying local maxima as potential interfering signals. The system then calculates the center frequency of each interfering signal and determines whether it falls within the neighborhood of the target resonant frequency. This neighborhood range can be set based on the actual operating bandwidth and frequency stability of the wireless charging system.

[0068] For candidates identified as adjacent interference signals, the system further calculates the frequency separation and signal strength ratio between them and the target resonant frequency. The frequency separation can be directly derived from the absolute value of the difference between the target resonant frequency and the center frequency of the interference signal. The signal strength ratio requires obtaining the power spectral density values ​​of the interference signal and the target resonant signal at their respective frequency points, and then calculating the ratio between the two. The signal strength ratio reflects the relative strength of the interference signal relative to the target signal; a larger signal strength ratio indicates a stronger interference impact.

[0069] S205, determining whether the frequency interval is less than a first preset threshold and whether the signal strength ratio is greater than a second preset threshold; In this step, the system determines whether the impact of adjacent interference signals on the wireless charging system exceeds a preset tolerance range based on the frequency separation and signal strength ratio calculated in the previous step. If the frequency separation is less than a first preset threshold and the signal strength ratio is greater than a second preset threshold, the interference signal is considered to have a significant impact on the system and frequency adjustment measures are required to reduce the interference. Otherwise, the interference impact is considered negligible and the current operating frequency remains unchanged.

[0070] The first preset threshold is used to determine whether the frequency separation between the interfering signal and the target signal is small enough to cause significant intermodulation interference or in-band noise. The selection of this threshold requires comprehensive consideration of factors such as the wireless charging system's modulation and demodulation methods and filter characteristics. For example, for narrowband systems, due to the narrow frequency band, a smaller frequency separation can be tolerated; for broadband systems, due to the wider frequency band, a larger frequency separation is required to avoid interference.

[0071] The second preset threshold is used to determine whether the relative strength of the interference signal relative to the target signal is large enough to significantly affect the signal quality. The selection of this threshold requires comprehensive consideration of factors such as the wireless charging system's receiver sensitivity and dynamic range. For example, a highly sensitive receiver can detect weaker interference signals, while a less sensitive receiver can only detect stronger interference signals.

[0072] S206, calculating a frequency offset based on the frequency interval, and adding the frequency offset to the target resonant frequency to obtain an anti-interference resonant frequency; When the frequency interval is less than the first preset threshold and the signal strength ratio is greater than the second preset threshold, the frequency offset is calculated based on the frequency interval, and the frequency offset is added to the target resonant frequency to obtain the anti-interference resonant frequency.

[0073] In this step, if the system determines that the adjacent interference signal has a significant impact, it adjusts the wireless charging system's operating frequency to minimize the interference. The basic idea behind this adjustment is to calculate an appropriate frequency offset based on the frequency interval between the interference signal and the target signal. This offset is then added to the original target resonant frequency to create a new, anti-interference resonant frequency.

[0074] Calculating the frequency offset requires comprehensive consideration of the following factors: First, the frequency offset should be directed as far away from the interfering signal as possible to maximize the frequency separation. Second, the frequency offset step size should be proportional to the frequency separation; that is, the larger the frequency separation, the larger the frequency offset step size. Third, the frequency offset must not exceed the operating frequency band of the wireless charging system, otherwise the system may not function properly. Finally, the anti-interference resonant frequency after the frequency offset should avoid falling on other known interference frequencies to avoid introducing new interference.

[0075] According to the above principles, the system can use the following formula to calculate the frequency offset: Frequency offset = sign function (target frequency - interference frequency) × scale factor × frequency interval The sign function determines the direction of the frequency offset, and the proportional coefficient controls the step size of the frequency offset, which can be adjusted based on actual conditions. After calculating the frequency offset, the system superimposes it on the target resonant frequency to obtain a new anti-interference resonant frequency.

[0076] During the frequency shift process, the new resonant frequency may exceed the operating frequency band range or fall on other interfering frequencies. To address these issues, the system can manage and allocate available frequency band resources before the frequency shift. For example, the system can maintain a frequency band usage table to record the occupancy and interference status of each frequency band. When performing a frequency shift, the system first queries the frequency band usage table to find an idle frequency band with minimal interference, and then performs a frequency shift within that frequency band. If all available frequency bands are occupied or subject to interference, the system can also obtain additional frequency resources through negotiation with other devices or dynamic spectrum sharing.

[0077] S207, maintaining the target resonant frequency unchanged, and using the target resonant frequency as the anti-interference resonant frequency; When the frequency interval is not less than the first preset threshold or the signal strength ratio is not less than the second preset threshold, the target resonant frequency is kept unchanged and is used as the anti-interference resonant frequency.

[0078] In this step, when the system determines that the influence of the adjacent interference signal is small, there is no need to adjust the operating frequency of the wireless charging system. The original target resonant frequency can be kept unchanged and directly used as the anti-interference resonant frequency.

[0079] The reason for not adjusting the frequency when the impact of interference is minimal is based on the following considerations: First, frequency adjustment itself incurs certain system overhead and latency, such as requiring reconfiguration of the RF front-end circuitry and resynchronization of the communication protocol. Frequent, unnecessary frequency adjustments can actually reduce system efficiency. Second, even if some interference exists, as long as its intensity is sufficiently low, the wireless charging system can still effectively mitigate the impact of interference through technologies such as adaptive filtering and interference suppression, ensuring normal operation. Therefore, when the impact of interference is minimal, maintaining the frequency constant is a more optimal strategy.

[0080] Of course, even when the frequency remains constant, the system still needs to continuously monitor and evaluate the interference signal to promptly detect changes in interference intensity. If the interference intensity increases significantly and exceeds the preset threshold, the system needs to reconsider whether to adjust the frequency.

[0081] S208, adjusting the transmission frequency to the anti-interference resonant frequency, and collecting the AC-DC conversion efficiency after the secondary adjustment; In this step, the system adjusts the transmitter's operating frequency to match the anti-interference resonant frequency calculated in the previous step. The purpose of adjusting the transmit frequency is to synchronize the transmitter and receiver's resonant circuits at the anti-interference frequency, thereby reducing the impact of environmental interference on charging efficiency.

[0082] Adjusting the transmit frequency can be achieved in a variety of ways, such as by changing the capacitance or inductance of the transmitter's oscillator circuit or adjusting the output frequency of a frequency synthesizer. The system can calculate the required capacitance or inductance based on the specific value of the anti-interference resonant frequency and set these values ​​in the oscillator circuit via a control circuit. Alternatively, the system can use the anti-interference resonant frequency as the target frequency for the frequency synthesizer and adjust its parameters (such as the division coefficient and phase-locked loop parameters) to achieve precise frequency tracking.

[0083] After adjusting the transmission frequency, the system also needs to collect the AC-DC conversion efficiency after the secondary adjustment to evaluate the effectiveness of the anti-interference measures. The method of collecting efficiency is similar to step S101. The system can calculate the AC-DC conversion efficiency by measuring the output voltage and current of the receiving end. If the efficiency is significantly improved, it means that the anti-interference measures have taken effect and the system can continue to maintain the current working state. If the efficiency improvement is not obvious or even decreases, it means that the anti-interference measures need to be further optimized, and the system needs to return to the previous step to recalculate the anti-interference resonant frequency.

[0084] S209 : When the AC-DC conversion efficiency after the secondary adjustment is less than the target efficiency, return to the step of adjusting the parameters of the adjustable capacitor / inductor network according to the AC-DC conversion efficiency.

[0085] In this step, the system determines whether the AC-DC conversion efficiency after anti-interference adjustments has reached the expected target efficiency. If so, the current anti-interference measures are sufficiently effective, and the system can continue operating and enter the next charging cycle. If not, adjusting the transmission frequency alone is insufficient, possibly because the parameters of the resonant circuit have changed, causing the resonant state to deviate from the optimal point.

[0086] In this case, the system needs to return to step S104 and readjust the parameters of the adjustable capacitor / inductor network based on the current AC-DC conversion efficiency to restore the resonant circuit to its optimal operating state. The adjustment process is similar to step S104. The system can use an optimization algorithm to calculate the adjustment step size and direction of the capacitor and inductor, and iterate continuously until the AC-DC conversion efficiency reaches the target value or the algorithm converges.

[0087] It is worth noting that before returning to step S104, the system needs to readjust the transmission frequency to the target resonant frequency to ensure consistency when adjusting the resonant circuit parameters. Otherwise, if the transmission frequency and the resonant frequency are inconsistent, it will cause deviations in the adjustment process, affecting the optimization effect. At the same time, because environmental interference may change dynamically, the system needs to monitor the changes in RF signal strength in real time during the process of adjusting the resonant circuit parameters. Once the presence of an interference signal is detected, anti-interference measures need to be re-implemented to ensure system stability.

[0088] In the above embodiment, by real-time monitoring of the changes in the RF signal strength, potential interference signals are discovered in a timely manner, and the operating frequency of the system is adaptively adjusted according to the frequency interval and signal strength ratio of the interference signal. When significant interference is detected, the system can intelligently calculate the frequency offset and adjust it to the anti-interference resonant frequency, effectively avoiding external interference while ensuring charging efficiency. This method establishes a complete set of interference detection and frequency adjustment mechanisms. By analyzing and evaluating the environmental RF noise, the system can maintain stable charging performance in a complex electromagnetic environment. Combined with the secondary inspection of AC-DC conversion efficiency and closed-loop control of parameter adjustment, it ensures that the system can still maintain optimal charging efficiency in the presence of external interference, thereby improving the adaptability and reliability of the wireless charging system in actual application environments.

[0089] The following describes the system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of the physical device structure of an electric vehicle wireless charging automatic calibration system provided in an embodiment of the present application.

[0090] It should be noted that Figure 3 The structure of the system shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0091] like Figure 3 As shown, the system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes, such as the methods described in the above embodiments, based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage unit 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for system operation. CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0092] The following components are connected to the I / O interface 305: an input section 306 including a camera, infrared sensor, and the like; an output section 307 including a liquid crystal display (LCD) and speakers; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. Removable media 311, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is installed in the drive 310 as needed, so that computer programs read from the media can be installed in the storage section 308 as needed.

[0093] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 309 and / or installed from removable media 311. When executed by the central processing unit (CPU) 301, the computer program performs the various functions defined in the present invention.

[0094] It should be noted that the computer-readable medium described in the embodiments of the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example, but 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 may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may 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. In the present invention, a computer-readable signal medium may include a data signal transmitted in baseband or as part of a carrier wave, which carries a computer-readable computer program. Such a propagated data signal may take any of a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in an order different from that marked in the accompanying drawings. For example, two boxes shown in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0096] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the system described in the above embodiments, or may exist independently and not incorporated into the system. The storage medium carries one or more computer programs, and when executed by a processor of a system, the system implements the methods provided in the above embodiments.

[0097] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements 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 application.

[0098] As used in the above embodiments, the term “when…” may be interpreted as “if…” or “after…” or “in response to determining…” or “in response to detecting…”, depending on the context. Similarly, the phrases “upon determining…” or “if (stated condition or event) is detected” may be interpreted as “if determining…” or “in response to determining…” or “upon detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0099] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, hard disk, tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive).

[0100] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. An automatic calibration method for wireless charging of electric vehicles, characterized in that: include: Collecting charging parameters of the receiving end, wherein the charging parameters include RF signal strength, signal phase consistency, and AC-DC conversion efficiency; Feedback of the charging parameters to the transmitter via a wireless communication link; Obtaining a signal amplitude difference between each unit of the antenna array according to the radio frequency signal strength, and obtaining a phase difference between each unit of the antenna array according to the signal phase consistency, to generate an initial phase adjustment parameter and an initial amplitude adjustment parameter; Performing an initial adjustment on the antenna array according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain an adjusted AC-DC conversion efficiency; If the adjusted AC-DC conversion efficiency is less than the target efficiency, adjusting the parameters of the adjustable capacitor / inductor network according to the AC-DC conversion efficiency until the target resonant frequency is obtained; generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency; Each unit of the antenna array is controlled to perform beamforming according to the final phase adjustment parameter and the final amplitude adjustment parameter, and the transmission frequency is adjusted to the target resonant frequency.

2. The method according to claim 1, characterized in that The performing an initial adjustment on the antenna array according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain an adjusted AC-DC conversion efficiency specifically includes: adjusting the phase of each element of the antenna array in sequence according to the initial phase adjustment parameter and a preset adjustment step size, obtaining a temporary AC-DC conversion efficiency after each phase adjustment of a unit, and taking the phase corresponding to the maximum temporary AC-DC conversion efficiency as the optimal phase of the unit; adjusting the amplitude of each element of the antenna array in sequence according to the preset adjustment step size based on the initial amplitude adjustment parameter and the optimal phase, obtaining a new temporary AC-DC conversion efficiency after each adjustment of the amplitude of a element, and taking the amplitude corresponding to the maximum new temporary AC-DC conversion efficiency as the optimal amplitude of the element; generating an array adjustment matrix according to the optimal phase and the optimal amplitude of each unit; The array adjustment matrix is ​​applied to the antenna array to obtain an adjusted AC-DC conversion efficiency.

3. The method according to claim 1, characterized in that Generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency specifically includes: Collecting signal phase consistency and radio frequency signal strength of the antenna array at different frequency points within a preset frequency range centered on the target resonant frequency; Calculating a phase correction parameter based on the signal phase consistency corresponding to the target resonant frequency, and performing weighted superposition of the phase correction parameter and the initial phase adjustment parameter to obtain a final phase adjustment parameter; An amplitude correction parameter is calculated based on the radio frequency signal strength corresponding to the target resonant frequency, and the amplitude correction parameter is weightedly added to the initial amplitude adjustment parameter to obtain a final amplitude adjustment parameter.

4. The method according to claim 1, wherein After adjusting the transmitting frequency to the target resonant frequency, the method further includes: Collecting the radio frequency signal strength at the first moment and the radio frequency signal strength at the second moment; Calculating a difference between the radio frequency signal strength at the first moment and the radio frequency signal strength at the second moment; When the difference is greater than a preset threshold, collecting environmental radio frequency noise data; When it is determined that an interference signal adjacent to the target resonant frequency exists in the ambient radio frequency noise data, calculating a frequency interval and a signal strength ratio of the interference signal; Determining whether the frequency interval is less than a first preset threshold and whether the signal strength ratio is greater than a second preset threshold; When the frequency interval is less than the first preset threshold and the signal strength ratio is greater than the second preset threshold, calculating a frequency offset based on the frequency interval, and adding the frequency offset to the target resonant frequency to obtain an anti-interference resonant frequency; When the frequency interval is not less than the first preset threshold or the signal strength ratio is not less than the second preset threshold, maintaining the target resonant frequency unchanged and using the target resonant frequency as the anti-interference resonant frequency; Adjusting the transmission frequency to the anti-interference resonant frequency, and collecting the AC-DC conversion efficiency after the secondary adjustment; When the AC-DC conversion efficiency after the secondary adjustment is less than the target efficiency, the process returns to the step of adjusting the parameters of the adjustable capacitor / inductor network according to the AC-DC conversion efficiency.

5. The method according to claim 4, characterized in that The calculating the frequency interval and signal strength ratio of the interference signal specifically includes: Obtaining the center frequency of the interference signal; Calculating the absolute value of the difference between the center frequency of the interference signal and the target resonant frequency to obtain a frequency interval; Acquire the signal strength of the interference signal and the radio frequency signal strength corresponding to the target resonant frequency; The signal strength ratio is obtained by dividing the signal strength of the interference signal by the radio frequency signal strength corresponding to the target resonant frequency.

6. The method according to claim 4, characterized in that Before collecting the environmental radio frequency noise data, the method further includes: Obtaining an operating frequency band range of the antenna array; Within the working frequency band, multiple frequency points are set for scanning sampling; The sampling data of the multiple frequency points are filtered to obtain environmental radio frequency noise data.

7. The method according to claim 6, characterized in that The filtering of the sampling data of the multiple frequency points to obtain the ambient radio frequency noise data specifically includes: Calculating the mean and standard deviation of the sampling data of the multiple frequency points; Eliminate abnormal sampling data that deviates from the mean by more than a preset multiple of the standard deviation; The remaining sampled data are weighted averaged to obtain the ambient radio frequency noise data.

8. An automatic calibration system for wireless charging of electric vehicles, characterized in that: The system comprises: One or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the system to execute the method according to any one of claims 1 to 7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a system, the system is caused to perform the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a system, the system is caused to perform the method according to any one of claims 1 to 7.

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