Electric vehicle wireless charging automatic calibration method and system, medium and program product

Abstract

The application 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.In the method, the charging parameters of a receiving end are collected; the signal amplitude difference between each unit of an antenna array is obtained, the phase difference between each unit of the antenna array is obtained, initial phase adjustment parameters and initial amplitude adjustment parameters are generated; the antenna array is initially adjusted, the adjusted AC-DC conversion efficiency is obtained; if the adjusted AC-DC conversion efficiency is less than a target efficiency, the parameters of an adjustable capacitance / inductance network are adjusted until the target resonant frequency is obtained; the final phase adjustment parameters and the final amplitude adjustment parameters are generated according to the target resonant frequency; each unit of the antenna array is controlled to perform beam forming according to the final phase adjustment parameters and the final amplitude adjustment parameters, and the transmission frequency is adjusted to the target resonant frequency.The application is used for keeping the stability of wireless charging of a vehicle and improving the charging performance when the position of the vehicle or the external environment changes.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of electric energy storage systems, and particularly relates to an electric vehicle wireless charging automatic calibration method and system, a medium and a program product. BACKGROUND

[0002] With the rapid development of the new energy vehicle industry, the convenience and safety of electric vehicle charging methods are increasingly concerned. The traditional wired charging method needs manual operation of high-voltage charging equipment, and has problems such as inconvenient operation and safety hazards. To solve these problems, wireless charging technology has emerged, which realizes non-contact charging through electromagnetic induction principle, without manual plugging and unplugging of the charging interface, thereby improving the safety and convenience of the charging process.

[0003] In related technologies, an electric vehicle wireless charging system can be used, which includes a transmitting end and a receiving end, realizes wireless power transmission through magnetic coupling resonance, and uses fixed transmitting coils and receiving coils for energy transmission. This technology overcomes the defects of traditional wired charging, realizes non-contact charging, and improves the safety of the charging process.

[0004] However, in complex actual application environments, the charging efficiency of the system is difficult to maintain stability, 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 charging efficiency of the system is difficult to maintain stability, and the charging performance is reduced. SUMMARY

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

[0006] In a first aspect, the application provides an electric vehicle wireless charging automatic calibration method, which collects charging parameters of the receiving end, the charging parameters including radio frequency signal strength, signal phase consistency and AC-DC conversion efficiency;

[0007] The charging parameters are fed back to the transmitting end through a wireless communication link;

[0008] The signal amplitude difference between each unit of the antenna array is obtained according to the radio frequency signal strength, and the phase difference between each unit of the antenna array is obtained according to the signal phase consistency, to generate initial phase adjustment parameters and initial amplitude adjustment parameters;

[0009] The antenna array is initially adjusted according to the initial phase adjustment parameters and the initial amplitude adjustment parameters, to obtain the adjusted AC-DC conversion efficiency;

[0010] If the adjusted AC-DC conversion efficiency is less than the target efficiency, the parameters of the adjustable capacitance / inductance network are adjusted according to the AC-DC conversion efficiency until the target resonance frequency is obtained;

[0011] The final phase adjustment parameter and the final amplitude adjustment parameter are generated according to the target resonance frequency;

[0012] The units of the antenna array are 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 resonance frequency.

[0013] By adopting the above technical solutions, the charging parameters of the receiving end are collected and fed back to the transmitting end, the initial adjustment parameter is generated according to the radio frequency signal strength and signal phase consistency, the target resonance frequency is obtained by adjusting the parameters of the adjustable capacitance / inductance network based on the AC-DC conversion efficiency, and finally the final adjustment parameter is generated and applied to perform beamforming, thereby realizing the automatic calibration of the signal amplitude and phase between the units of the antenna array. This calibration method eliminates the subjectivity and uncertainty of manual debugging, improves the debugging accuracy and efficiency. Through the closed-loop feedback mode, the charging parameters are monitored and adjusted in real time, and the system can always maintain the best working state, thereby improving the energy transmission efficiency of the wireless charging system. Through accurate adjustment of the antenna array and optimization of the resonance frequency, the electromagnetic field coupling effect between the transmitting end and the receiving end is improved, the energy transmission loss is reduced, and the entire wireless charging system always works in the optimal state.

[0014] In combination with some embodiments of the first aspect, in some embodiments, the antenna array is initially adjusted according to the initial phase adjustment parameter and the initial amplitude adjustment parameter to obtain the adjusted AC-DC conversion efficiency, specifically including:

[0015] The phases of the units of the antenna array are adjusted according to the initial phase adjustment parameter in a preset adjustment step, and a temporary AC-DC conversion efficiency is obtained after the phase of each unit is adjusted, and the phase corresponding to the maximum temporary AC-DC conversion efficiency is taken as the optimal phase of the unit;

[0016] On the basis of the optimal phase, the amplitudes of the units of the antenna array are adjusted according to the initial amplitude adjustment parameter in a preset adjustment step, a new temporary AC-DC conversion efficiency is obtained after the amplitude of each unit is adjusted, and the amplitude corresponding to the maximum new temporary AC-DC conversion efficiency is taken as the optimal amplitude of the unit;

[0017] The array adjustment matrix is generated according to the optimal phase and the optimal amplitude of each unit;

[0018] The array adjustment matrix is applied to the antenna array to obtain the adjusted AC-DC conversion efficiency.

[0019] By adopting the technical solution, the phase and amplitude of each unit of the antenna array are adjusted in turn by using a preset adjustment step, the optimal phase and optimal amplitude are determined by comparing the temporary AC-DC conversion efficiency after each adjustment, and an array adjustment matrix is generated to realize the overall adjustment of the antenna array. By optimizing the phase and amplitude parameters respectively, the complexity of parameter optimization is reduced, and the efficiency of parameter optimization is improved. Based on the feedback mechanism of the temporary AC-DC conversion efficiency, each adjustment step is ensured to be in the direction of improving the system performance, and the finally obtained array adjustment matrix can make the antenna array reach the best working state, and the charging efficiency is improved.

[0020] In combination with some embodiments of the first aspect, in some embodiments, the final phase adjustment parameter and the final amplitude adjustment parameter are generated according to the target resonant frequency, specifically comprising:

[0021] Within a preset frequency range centered on the target resonant frequency, the signal phase consistency and the radio frequency signal strength of the antenna array at different frequency points are collected;

[0022] The phase correction parameter is calculated based on the signal phase consistency corresponding to the target resonant frequency, and the final phase adjustment parameter is obtained by weighting and superimposing the phase correction parameter and the initial phase adjustment parameter;

[0023] The amplitude correction parameter is calculated based on the radio frequency signal strength corresponding to the target resonant frequency, and the final amplitude adjustment parameter is obtained by weighting and superimposing the amplitude correction parameter and the initial amplitude adjustment parameter.

[0024] By adopting the above technical solution, the signal parameters of the antenna array at different frequency points within the preset frequency range are collected, the phase correction parameter and the amplitude correction parameter are calculated and weighted and superimposed with the initial adjustment parameter to obtain the final adjustment parameter considering the frequency characteristics. This frequency domain characteristic-based parameter optimization method overcomes the defect that optimization at a single frequency point is easily affected by frequency fluctuations, and improves the stability and robustness of the system in actual working process. By analyzing and compensating the signal characteristics of the frequency points near the target resonant frequency, the system can still maintain good charging performance when the frequency deviates slightly, enhances the adaptability of the system to frequency disturbance, and ensures the reliable operation of the wireless charging system in various working environments.

[0025] In combination with some embodiments of the first aspect, in some embodiments, after adjusting the transmission frequency to the target resonant frequency, the method further comprises:

[0026] Collecting the radio frequency signal strength at the first time and the radio frequency signal strength at the second time;

[0027] Calculating the difference between the radio frequency signal strength at the first time and the radio frequency signal strength at the second time;

[0028] When the difference is greater than a preset threshold, ambient RF noise data is collected;

[0029] 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;

[0030] 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;

[0031] 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;

[0032] When the frequency interval is not less than the first preset threshold or the signal strength ratio is not greater 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;

[0033] Adjust the transmission frequency to the anti-interference resonant frequency and collect the AC-DC conversion efficiency after secondary adjustment;

[0034] 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.

[0035] 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.

[0036] 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:

[0037] Obtain the center frequency of the interference signal;

[0038] 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;

[0039] acquire a signal strength of the interference signal and a signal strength of the radio frequency signal corresponding to the target resonant frequency;

[0040] divide the signal strength of the interference signal by the signal strength of the radio frequency signal corresponding to the target resonant frequency to obtain a signal strength ratio.

[0041] By adopting the technical solution, the center frequency of the interference signal is acquired, and the frequency interval is obtained by calculating the difference between the center frequency and the target resonant frequency. Meanwhile, the signal strength ratio is obtained by acquiring the ratio of the interference signal strength and the signal strength of the radio frequency signal corresponding to the target resonant frequency. This calculation method can accurately quantify the influence 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 indexes together constitute the basis for judging the interference severity, so that the system can determine 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, so as to balance the charging efficiency and anti-interference ability.

[0042] In some embodiments of the first aspect, before acquiring the environmental radio frequency noise data, the method further comprises:

[0043] acquiring a working frequency range of the antenna array;

[0044] setting a plurality of frequency points for scanning sampling within the working frequency range;

[0045] filtering the sampling data of the plurality of frequency points to obtain the environmental radio frequency noise data.

[0046] By adopting the technical solution, a plurality of frequency points are set for scanning sampling within the working frequency range of the antenna array, so that the complete environmental radio frequency noise distribution can be obtained. This method can not only detect interference sources of fixed frequencies, but also find interference signals with possible frequency drift, thereby improving the adaptability of the wireless charging system in complex electromagnetic environments.

[0047] In some embodiments of the first aspect, filtering the sampling data of the plurality of frequency points to obtain the environmental radio frequency noise data specifically comprises:

[0048] calculating the mean and standard deviation of the sampling data of the plurality of frequency points;

[0049] eliminating abnormal sampling data deviating from the mean by more than a preset multiple of the standard deviation;

[0050] performing weighted average on the remaining sampling data to obtain the environmental radio frequency noise data.

[0051] By adopting the technical scheme, the mean value and the standard deviation of the sampling data of multiple frequency points are calculated, abnormal sampling data deviating from the mean value by more than a preset multiple of the standard deviation is removed, and then the remaining sampling data is weighted and averaged, so that reliable environmental radio frequency noise data is obtained. The accuracy of environmental radio frequency noise evaluation is improved, so that the system can make frequency adjustment decisions based on more reliable data, thereby improving the anti-interference performance of the wireless charging system.

[0052] In a second aspect, the embodiments of the present application provide an electric vehicle wireless charging automatic calibration system, which comprises one or more processors and a memory; the memory is coupled with the one or more processors, and is used for storing computer program codes, the computer program codes comprising computer instructions, and the one or more processors invoke the computer instructions to enable the system to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0053] In a third aspect, the embodiments of the present application provide a computer readable storage medium comprising instructions, which, when executed on a system, cause the system to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0054] In a fourth aspect, the embodiments of the present application provide a computer program product, which, when executed on a system, causes the system to perform the method described in any possible implementation manner of the first aspect.

[0055] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0056] 1. The present application provides an electric vehicle wireless charging automatic calibration method, which collects the charging parameters of the receiving end and feeds back to the transmitting end, generates initial adjustment parameters according to the consistency of the radio frequency signal strength and signal phase, adjusts the target resonance frequency based on the AC-DC conversion efficiency of the adjustable capacitance / inductance network parameters, and finally generates and applies the final adjustment parameters for beam forming, realizing the 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, improves the debugging accuracy and efficiency. Through the closed-loop feedback mode, the charging parameters are monitored and adjusted in real time, and the system can always maintain the best working state, improving the energy transmission efficiency of the wireless charging system. The method improves the electromagnetic field coupling effect between the transmitting end and the receiving end by accurately adjusting the antenna array and optimizing the resonance frequency, reduces the loss in the energy transmission process, and makes the entire wireless charging system always work in the optimal state.

[0057] 2, The application provides an electric vehicle wireless charging automatic calibration method, which can timely find potential interference signals by monitoring the change of radio frequency signal strength in real time, and adaptively adjust the working frequency of the system according to the frequency interval and signal strength ratio of the interference signals. When significant interference is found, the system can intelligently calculate the frequency offset and adjust to the anti-interference resonant frequency, which can effectively avoid external interference while ensuring charging efficiency. This method establishes a complete interference detection and frequency adjustment mechanism, and through the analysis and evaluation of 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 the closed-loop control of parameter adjustment, the system can still maintain the optimal charging efficiency in the presence of external interference, improving the adaptability and reliability of the wireless charging system in the actual application environment. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a flowchart of an electric vehicle wireless charging automatic calibration method in an embodiment of the application.

[0059] Figure 2 is a flowchart of an improved method with anti-interference capability in an embodiment of the application.

[0060] Figure 3 is a schematic diagram of the physical device structure of an electric vehicle wireless charging automatic calibration system provided in an embodiment of the application. DETAILED DESCRIPTION

[0061] The terms used in the following embodiments of the application are only for the purpose of describing the specific embodiments and are not intended to be limiting on the application. As used in the specification and the appended claims of the application, the singular forms "a," "an," and "the" are intended to include both singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or" used in the application means any or all possible combinations of one or more of the listed items.

[0062] Hereinafter, the terms "first" and "second" are only for the purpose of description, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the application, the meaning of "multiple" is two or more, unless otherwise specified.

[0063] The following uses an embodiment and combines Figure 1 An electric vehicle wireless charging automatic calibration method in an embodiment of the application is described:

[0064] Please refer to Figure 1 A flowchart of an embodiment of the application is shown in FIG. 1.

[0065] S101, collect the charging parameters of the receiving end, and feed back the charging parameters to the transmitting end through a wireless communication link;

[0066] The system collects the charging parameters of the receiving end, including the radio frequency signal strength, signal phase consistency, and AC-DC conversion efficiency, and feeds back the charging parameters to the transmitting end through a wireless communication link.

[0067] In this step, the system first collects the charging parameters of the receiving end. The charging parameters include but are not limited to radio frequency signal strength, signal phase consistency, and AC-DC conversion efficiency, etc., which can reflect the charging status and efficiency of the receiving end. The system can obtain these parameters through various sensors and measurement circuits, such as using a radio frequency power detector to measure the radio frequency signal strength, using a phase detection circuit to measure the signal phase consistency, and using an efficiency measurement circuit to measure the AC-DC conversion efficiency.

[0068] After obtaining the charging parameters, the system feeds back these parameters to the transmitting end through a wireless communication link. The wireless communication link can be various wireless communication technologies, such as Bluetooth, Wi-Fi, ZigBee, etc. The system can package the charging parameters into data packets and send them to the transmitting end through the wireless communication module. After receiving the feedback of the charging parameters, the transmitting end can adjust the working state of the transmitting end according to these parameters to optimize the charging efficiency.

[0069] S102, according to the radio frequency signal strength, obtain the signal amplitude difference between each unit of the antenna array, and according to the signal phase consistency, obtain the phase difference between each unit of the antenna array, generate initial phase adjustment parameters and initial amplitude adjustment parameters;

[0070] In this step, the system calculates the signal amplitude difference and phase difference between each unit of the antenna array according to the radio frequency signal strength and signal phase consistency feedback by the receiving end. The antenna array is composed of multiple antenna units, and the received radio frequency signal strength and phase of each antenna unit may be different, resulting in a decline in the overall receiving performance of the array. Therefore, it is necessary to adjust the signal amplitude and phase of each antenna unit to improve the receiving performance of the array.

[0071] The system can use various algorithms to calculate the signal amplitude difference and phase difference between the antenna elements, such as using the least mean square algorithm, the maximum signal-to-noise ratio algorithm, etc. These algorithms solve the optimal signal amplitude difference and phase difference by optimizing a certain objective function (such as minimizing the mean square error or maximizing the signal-to-noise ratio). The calculated signal amplitude difference and phase difference can be used as initial phase adjustment parameters and amplitude adjustment parameters for subsequent steps to adjust the antenna array.

[0072] In some cases, the measured values of radio frequency signal strength and phase consistency may contain noise and interference, affecting the calculation accuracy of signal amplitude difference and phase difference. To improve the calculation accuracy, the system can introduce algorithms such as Kalman filtering to filter and smooth the measured values to remove the influence of noise and interference. In addition, the system can also improve the measurement accuracy by taking the average of multiple measurements to reduce the influence of random errors.

[0073] S103, according to the initial phase adjustment parameters and the initial amplitude adjustment parameters, the antenna array is initially adjusted, and the adjusted AC-DC conversion efficiency is obtained;

[0074] The system adjusts 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 element of the antenna array according to the initial phase adjustment parameters according to the preset adjustment step, obtaining a temporary AC-DC conversion efficiency after adjusting the phase of each element, and taking the optimal phase corresponding to the maximum temporary AC-DC conversion efficiency as the optimal phase of the element; based on the optimal phase, adjust the amplitude of each element of the antenna array according to the initial amplitude adjustment parameters according to the preset adjustment step, obtain a new temporary AC-DC conversion efficiency after adjusting the amplitude of each element, and take the optimal amplitude corresponding to the maximum new temporary AC-DC conversion efficiency as the optimal amplitude of the element; generate an array adjustment matrix according to the optimal phase and the optimal amplitude of each element; apply the array adjustment matrix to the antenna array to obtain the adjusted AC-DC conversion efficiency.

[0075] In this step, the system adjusts the antenna array according to the initial phase adjustment parameters and the initial amplitude adjustment parameters calculated in the previous step. The purpose of adjustment is to make the signal amplitude and phase of each antenna element as consistent as possible, and to improve the overall receiving performance of the array. The adjustment process can be realized by controlling the phase shifters and attenuators of each antenna element, the phase shifters are used to adjust the signal phase, and the attenuators are used to adjust the signal amplitude.

[0076] During the adjustment process, the system can use an iterative optimization method, that is, only one antenna unit is adjusted each time, the AC-DC conversion efficiency is measured after the adjustment is completed, and the measurement result is compared with the measurement result of the last time. If the efficiency is improved, the current adjustment is retained, otherwise the current adjustment is cancelled and the next antenna unit is tried to adjust. This iterative optimization method can gradually approach the optimal adjustment parameter, avoiding the problem of efficiency decline caused by one-time adjustment.

[0077] In some cases, the physical structure and layout of the antenna array may affect the adjustment effect, such as coupling between antenna units, inconsistency of direction and polarization of antenna units, etc. In order to solve these problems, the system can introduce more complex array optimization algorithms, such as genetic algorithm, particle swarm optimization algorithm, etc., to find the optimal adjustment parameter through intelligent search. In addition, the system can also modify and compensate the initial adjustment parameter according to the physical model of the antenna array and the electromagnetic simulation result, to adapt to the actual working environment.

[0078] S104, if the adjusted AC-DC conversion efficiency is less than the target efficiency, adjusting the parameters of the adjustable capacitance / inductance network according to the AC-DC conversion efficiency until the target resonance frequency is obtained;

[0079] In this step, the system judges whether the AC-DC conversion efficiency after the initial adjustment reaches the preset target efficiency. If the target efficiency is not reached, it means that only adjusting the signal amplitude and phase of the antenna array is not enough, and the receiving end resonance circuit also needs to be adjusted to work in the best resonance state.

[0080] The resonance circuit of the receiving end is usually composed of adjustable capacitance and adjustable inductance, and the resonance frequency of the circuit can be changed by adjusting the parameters of capacitance and inductance. The system can use optimization algorithms (such as gradient descent algorithm, Newton method, etc.) to calculate the adjustment direction and step of capacitance and inductance parameters according to the current AC-DC conversion efficiency, so that the AC-DC conversion efficiency is continuously improved until the target efficiency is reached or the convergence condition of the algorithm is reached.

[0081] During the adjustment of the resonance circuit, the system needs to monitor the change of the AC-DC conversion efficiency in real time, and dynamically adjust the parameters of the optimization algorithm according to the feedback information to adapt to different working conditions. At the same time, in order to avoid the occurrence of oscillation or instability during the adjustment process, the system can set reasonable adjustment step and threshold to constrain and limit the adjustment process.

[0082] S105, generating final phase adjustment parameters and final amplitude adjustment parameters according to the target resonance frequency;

[0083] The system generates the final phase adjustment parameter and the final amplitude adjustment parameter according to the target resonant frequency, specifically including: collecting the signal phase consistency and the radio frequency signal strength of the antenna array at different frequency points in 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 the final phase adjustment parameter; calculating an amplitude correction parameter based on the radio frequency signal strength corresponding to the target resonant frequency, and performing weighted superposition of the amplitude correction parameter and the initial amplitude adjustment parameter to obtain the final amplitude adjustment parameter.

[0084] In this step, the system calculates the final phase adjustment parameter and the final amplitude adjustment parameter of the antenna array according to the target resonant frequency obtained in the previous step. Since the parameters of the resonant circuit have changed, the optimal working state of the antenna array may also change, so it is necessary to recalculate the adjustment parameters.

[0085] The process of calculating the final adjustment parameter is similar to step S102. The system can collect the radio frequency signal strength and phase consistency of the antenna array at the target resonant frequency, and calculate the signal amplitude difference and phase difference of each antenna element through an optimization algorithm. The difference is that the calculation result at this time is obtained at the target resonant frequency, so it can better reflect the optimal adjustment parameters in the actual working state.

[0086] During the calculation process, the system can introduce some prior knowledge and experience model to improve the calculation efficiency and accuracy. For example, the system can establish a mapping relationship between the resonant frequency and the optimal adjustment parameter according to historical data and simulation results. When the resonant frequency changes, the corresponding adjustment parameter can be quickly looked up without the need for complex recalculation.

[0087] In addition, in order to adapt to the influence of environmental changes and device aging, the system can also periodically or irregularly recalculate the final adjustment parameters to ensure that the charging system always works in the best state. At the same time, the system can store the final adjustment parameters calculated to serve as the initial parameters for the next charging, so as to speed up the adjustment and improve the efficiency.

[0088] 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.

[0089] In this step, the system controls each unit of the antenna array to perform beamforming according to the final phase adjustment parameter and the final amplitude adjustment parameter calculated in the previous step. The purpose of beamforming is to concentrate the radiation energy of the antenna array in a specific direction, improving the efficiency and distance of energy transmission.

[0090] The system can change the radiation pattern of the array by controlling the signal amplitude and phase of each antenna element. Specifically, the system can calculate the excitation current and excitation phase of each antenna element according to the final adjustment parameters, and load these parameters into the control circuit of the antenna array, so that each antenna element radiates according to the preset amplitude and phase. In this way, the antenna array can form a high-gain beam in the specified direction, radiating more energy to the location of the receiving end.

[0091] At the same time of beamforming, the system also needs to adjust the transmission frequency to the target resonance frequency to ensure that the resonance circuits of the transmitting end and the receiving end work at the same frequency, so as to achieve the maximum energy transmission efficiency. Adjusting the transmission frequency can be achieved by changing the parameters (such as capacitance, inductance, etc.) of the transmitting end oscillation circuit, or by controlling the frequency synthesizer of the transmitting end.

[0092] In actual application, due to the influence of environmental noise, obstacle shielding and other factors, the position and attitude of the receiving end may change, causing the optimal beam direction to change accordingly. In order to adapt to this change, the system can introduce an adaptive beamforming algorithm, which dynamically adjusts the beam direction of the antenna array by tracking the position and attitude of the receiving end in real time, always aiming the beam at the receiving end, and ensuring the stability and reliability of energy transmission. At the same time, the system can also dynamically adjust the transmission power and coupling coefficient according to the feedback information (such as received power, coupling coefficient, etc.) of the receiving end, to achieve the best charging effect.

[0093] In the above embodiment, by collecting the charging parameters of the receiving end and feeding back to the transmitting end, generating initial adjustment parameters according to the consistency of radio frequency signal strength and signal phase, and adjusting the adjustable capacitance / inductance network parameters based on the AC-DC conversion efficiency to obtain the target resonance frequency, finally generating and applying the final adjustment parameters for beamforming, the automatic calibration of signal amplitude and phase between each unit of the antenna array is realized. This calibration method eliminates the subjectivity and uncertainty of manual debugging, improves the debugging accuracy and efficiency. Through the way of closed-loop feedback, the system can always maintain the best working state, and improve 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 resonance frequency, reduces the loss in the energy transmission process, and makes the entire wireless charging system always work in the optimal state.

[0094] The above examples describe the basic flow of the wireless charging automatic calibration method, and through the optimization and adjustment of the antenna array parameters and the resonance frequency, the efficient operation of the charging system is realized. However, in actual application, the interference of external electromagnetic environment may affect the stability of the system, leading to the decline of charging efficiency. In order to solve this problem, an improved method with anti-interference ability is introduced below, which dynamically adjusts the system operating frequency by monitoring the change of radio frequency signal strength in real time to cope with electromagnetic interference in the environment. The following describes an improved method with anti-interference ability in the embodiments of the present application: Figure 2 , an improved method with anti-interference ability in the embodiments of the present application is described:

[0095] Please refer to Figure 2 , an improved method with anti-interference ability in the embodiments of the present application is described:

[0096] S201, collect the radio frequency signal strength at the first time and the radio frequency signal strength at the second time;

[0097] In this step, the system collects the radio frequency signal strength at different times, which is used for subsequent judgment of whether there is electromagnetic interference in the environment. The radio frequency signal strength can represent the working state of the wireless charging system, and when the external environment changes, the radio frequency signal strength will also change accordingly. Therefore, by monitoring the change of radio frequency signal strength, it can be judged whether electromagnetic interference occurs.

[0098] The system can collect the radio frequency signal strength in various ways, such as using radio frequency power detectors, spectrum analyzers and other special instruments, or indirectly measuring through the signal processing circuit of the receiving end. In order to improve the time resolution and sensitivity of the collection, the system can use high-speed sampling and digital processing to convert the radio frequency signal into a digital signal for analysis and recording.

[0099] In some cases, the radio frequency signal strength may be affected by the external environment and appear random fluctuations, in order to reduce the influence of such fluctuations on the judgment result, the system can perform smoothing filter processing on the collected radio frequency signal strength, such as using sliding average filter, Kalman filter and other algorithms, to eliminate high-frequency noise and burr, and improve the stability and reliability of the signal.

[0100] S202, calculate the difference between the radio frequency signal strength at the first time and the radio frequency signal strength at the second time;

[0101] In this step, the system calculates the difference between the radio frequency signal strength at different times to determine whether the signal strength has changed significantly. If the difference is small, it means that the signal strength is stable, and there may be no significant electromagnetic interference in the environment; on the contrary, if the difference is large, it means that the signal strength fluctuates, and there may be electromagnetic interference sources in the environment.

[0102] The system can employ various methods to calculate the difference in radio frequency signal strength, such as calculating the absolute value of the difference between the signal strengths at two time instants, 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 adjacent time instants, without storing the complete time series of signal strengths.

[0103] S203, when the difference is greater than a preset threshold, collecting environmental radio frequency noise data;

[0104] When the difference is greater than a preset threshold, the working frequency range of the antenna array is obtained; within the working frequency range, a plurality of frequency points are set for scanning and sampling; the sampling data of the plurality of frequency points is filtered to obtain the environmental radio frequency noise data, specifically including: calculating the mean and standard deviation of the sampling data of the plurality of frequency points; removing abnormal sampling data deviating from the mean by more than a preset multiple of the standard deviation; and obtaining the environmental radio frequency noise data by weighted averaging of the remaining sampling data.

[0105] In this step, when the difference in radio frequency signal strength exceeds the preset threshold, the system begins to collect radio frequency noise data in the environment. Radio frequency noise data can reflect the spectral characteristics and intensity distribution of electromagnetic interference in the environment, and by analyzing the radio frequency noise data, the type and location of the interference source can be determined, providing a basis for subsequent interference suppression and frequency adjustment.

[0106] The process of collecting radio frequency noise data can be divided into the following steps: first, the system needs to obtain the working frequency range of the antenna array to determine the frequency range that needs to be scanned. Then, the system sets a plurality of sampling frequency points within the frequency range, scans and samples each frequency point to obtain a set of time domain sampling data. Next, the system pre-processes the sampling data, such as removing the direct current component, windowing, filtering, etc., to improve the signal-to-noise ratio and spectral resolution. Finally, the system performs spectral analysis on the pre-processed sampling data to obtain the spectral density distribution of the radio frequency noise.

[0107] During the collection of radio frequency noise data, there may be some abnormal sampling data, such as sampling points with abnormally large amplitudes due to temporary impact interference. To avoid the influence of these abnormal data on the analysis results, the system can perform abnormal detection and removal processing on the sampling data. One commonly used abnormal detection method is based on statistical hypothesis testing, that is, assuming that normal data follows a certain known probability distribution (such as Gaussian distribution), the mean and standard deviation of the sampling data are calculated, and then the abnormal data deviating from the mean by more than a preset multiple of the standard deviation are removed. After removing the abnormal data, the system can perform weighted averaging on the remaining sampling data to obtain more stable and reliable radio frequency noise spectrum estimation values.

[0108] S204. In a case where it is determined that there is an interference signal adjacent to the target resonant frequency in the ambient radio frequency noise data, calculate the frequency interval and signal strength ratio of the interference signal;

[0109] In a case where it is determined that there is an interference signal adjacent to the target resonant frequency in the ambient radio frequency noise data, calculate the frequency interval and signal strength ratio of the interference signal, 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 radio frequency signal strength corresponding to the target resonant frequency; dividing the signal strength of the interference signal by the radio frequency signal strength corresponding to the target resonant frequency to obtain the signal strength ratio.

[0110] In this step, the system analyzes the collected radio frequency noise data to determine whether there is an interference signal adjacent to the target resonant frequency. If such an interference signal exists, the system needs to further calculate the frequency interval and signal strength ratio between the interference signal and the target resonant frequency for subsequent interference evaluation and frequency adjustment.

[0111] In order to determine whether there is an adjacent interference signal, the system can perform peak detection on the spectrum of the radio frequency noise data to find the local maximum points as potential interference signals. Then, the system calculates the center frequency of each interference signal and determines whether it falls within the neighborhood range of the target resonant frequency. The neighborhood range can be set according to the actual working bandwidth and frequency stability of the wireless charging system.

[0112] For those candidates judged as adjacent interference signals, the system needs to further calculate the frequency interval and signal strength ratio between them and the target resonant frequency. Among them, the frequency interval can be directly obtained from the absolute value of the difference between the target resonant frequency and the center frequency of the interference signal. The signal strength ratio needs to obtain the power spectral density values of the interference signal and the target resonant signal at their respective frequency points, and then calculate the ratio of the two. The signal strength ratio can reflect the relative strength of the interference signal relative to the target signal, and a larger signal strength ratio means stronger interference impact.

[0113] S205. Determine whether the frequency interval is less than a first preset threshold and the signal strength ratio is greater than a second preset threshold;

[0114] In this step, the system determines whether the influence of the adjacent interference signal on the wireless charging system exceeds the preset tolerance range based on the frequency interval and signal strength ratio calculated in the previous step. If the frequency interval is less than the first preset threshold and the signal strength ratio is greater than the second preset threshold, it is considered that the interference signal has a greater impact on the system, and frequency adjustment measures need to be taken to reduce the interference; otherwise, it is considered that the interference can be ignored, and the current working frequency remains unchanged.

[0115] The first preset threshold is used to determine whether the frequency interval between the interference signal and the target signal is small enough to cause significant intermodulation interference or in-band noise. The selection of this threshold needs to consider factors such as the modulation and demodulation mode of the wireless charging system, filter characteristics, etc. For example, for a narrowband system, a smaller frequency interval can be tolerated due to the narrow frequency band; for a wideband system, a larger frequency interval is needed to avoid interference.

[0116] 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 needs to consider factors such as the receiver sensitivity, dynamic range, etc. of the wireless charging system. For example, for a high-sensitivity receiver, weaker interference signals can be detected; for a low-sensitivity receiver, only stronger interference signals can be detected.

[0117] S206, calculate the frequency offset based on the frequency interval, and add the frequency offset to the target resonance frequency to obtain the anti-interference resonance frequency;

[0118] When the frequency interval is less than the first preset threshold and the signal strength ratio is greater than the second preset threshold, calculate the frequency offset based on the frequency interval, and add the frequency offset to the target resonance frequency to obtain the anti-interference resonance frequency.

[0119] In this step, when the system determines that the influence of the adjacent interference signal is large, the working frequency of the wireless charging system needs to be adjusted to reduce the influence of the interference. The basic idea of adjustment is to calculate a suitable frequency offset according to the frequency interval between the interference signal and the target signal, and then add the offset to the original target resonance frequency to obtain a new anti-interference resonance frequency.

[0120] The calculation of the frequency offset needs to consider the following factors: first, the direction of the frequency offset should be as far away from the interference signal as possible to maximize the frequency interval. Second, the step size of the frequency offset should be proportional to the frequency interval, i.e. the larger the frequency interval, the larger the step size of the frequency offset. Third, the frequency offset cannot exceed the working frequency range of the wireless charging system, otherwise it may cause the system to malfunction. Finally, the anti-interference resonance frequency after frequency offset should avoid falling on other known interference frequency points to avoid introducing new interference.

[0121] According to the above principles, the system can use the following formula to calculate the frequency offset:

[0122] Frequency offset = sign(target frequency - interference frequency) × proportionality coefficient × frequency interval

[0123] Wherein, the sign function is used to determine the direction of the frequency offset, and the proportional coefficient is used to control the step size of the frequency offset, which can be adjusted according to the actual situation. After calculating the frequency offset, the system superimposes it on the target resonance frequency to obtain a new anti-interference resonance frequency.

[0124] During the frequency offset process, the new resonance frequency may exceed the working frequency range or fall on other interference frequency points. In order to solve these problems, the system can manage and allocate the available frequency band resources before frequency offset. For example, the system can maintain a frequency band usage table to record the occupation and interference of each frequency band. When performing frequency offset, the system first queries the frequency band usage table to find the idle and least interfered frequency band, and then performs frequency offset in the frequency band. If all available frequency bands are occupied or interfered, the system can also obtain additional frequency resources through negotiation with other devices or dynamic spectrum sharing.

[0125] S207, keep the target resonance frequency unchanged, and take the target resonance frequency as the anti-interference resonance frequency;

[0126] 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, keep the target resonance frequency unchanged, and take the target resonance frequency as the anti-interference resonance frequency.

[0127] In this step, when the system judges that the influence of the adjacent interference signal is small, the working frequency of the wireless charging system does not need to be adjusted, and the original target resonance frequency can be kept unchanged and directly used as the anti-interference resonance frequency.

[0128] The reason why the frequency is not adjusted when the interference is small is based on the following considerations: first, frequency adjustment itself will bring certain overhead and delay to the system, such as the need to reconfigure the radio frequency front-end circuit, re-synchronize the communication protocol, etc. If unnecessary frequency adjustment is performed frequently, it will reduce the working efficiency of the system. Second, even if there is some interference, as long as its strength is low enough, the wireless charging system can still effectively reduce the influence of interference through adaptive filtering, interference suppression and other technical means to ensure normal work. Therefore, when the interference is small, keeping the frequency unchanged is a better strategy.

[0129] Of course, even in the case of keeping the frequency unchanged, the system still needs to continuously monitor and evaluate the interference signal in order to timely discover the trend of the change of the interference strength. Once the interference strength significantly rises and exceeds the preset threshold, the system needs to reconsider whether to perform frequency adjustment.

[0130] S208, adjust the transmission frequency to the anti-interference resonance frequency, and collect the AC-DC conversion efficiency after the second adjustment;

[0131] In this step, the system adjusts the operating frequency of the transmitting end to match the anti-interference resonant frequency calculated in the previous step. The purpose of adjusting the transmitting frequency is to synchronize the resonant circuits of the transmitting and receiving ends at the anti-interference frequency, so as to reduce the influence of environmental interference on charging efficiency.

[0132] Adjusting the transmitting frequency can be achieved in various ways, such as changing the capacitance or inductance value of the transmitting end oscillation circuit, adjusting the output frequency of the frequency synthesizer, etc. The system can calculate the required capacitance or inductance value according to the specific value of the anti-interference resonant frequency, and set these values to the oscillation circuit through the control circuit. Alternatively, the system can use the anti-interference resonant frequency as the target frequency of the frequency synthesizer, and adjust the parameters of the frequency synthesizer (such as the frequency division coefficient, phase-locked loop parameters, etc.) to achieve accurate tracking of the frequency.

[0133] After adjusting the transmitting frequency, the system also needs to collect the AC-DC conversion efficiency after the second adjustment to evaluate the effect of the anti-interference measure. The method of collecting efficiency is similar to step S101, and the system can calculate the AC-DC conversion efficiency by measuring the output voltage and current of the receiving end. If the efficiency improves significantly, it means that the anti-interference measure has taken effect, and the system can continue to maintain the current working state. If the efficiency does not improve significantly or even decreases, it means that the anti-interference measure needs to be further optimized, and the system needs to return to the previous step to recalculate the anti-interference resonant frequency.

[0134] S209, when the AC-DC conversion efficiency after the second adjustment is less than the target efficiency, return to execute the step of adjusting the parameters of the adjustable capacitance / inductance network according to the AC-DC conversion efficiency.

[0135] In this step, the system determines whether the AC-DC conversion efficiency after the anti-interference adjustment reaches the expected target efficiency. If it reaches the target efficiency, it means that the current anti-interference measure is already effective enough, and the system can continue to maintain the current working state and enter the next round of charging cycle. If it does not reach the target efficiency, it means that adjusting the transmitting frequency alone is not enough, and it may be due to the change of the parameters of the resonant circuit, causing the resonant state to deviate from the optimal point.

[0136] In this case, the system needs to return to step S104 to adjust the parameters of the adjustable capacitance / inductance network according to the current AC-DC conversion efficiency, so that the resonant circuit returns to the optimal working state. The adjustment process is similar to step S104, and the system can use an optimization algorithm to calculate the adjustment step and direction of the capacitance and inductance, and iteratively until the AC-DC conversion efficiency reaches the target value or reaches the convergence condition of the algorithm.

[0137] It is worth noting that before returning to step S104, the system needs to readjust the transmission frequency to the target resonance frequency to ensure consistency when adjusting the resonance circuit parameters. Otherwise, if the transmission frequency and the resonance frequency are inconsistent, it will cause deviation in the adjustment process and affect the optimization effect. At the same time, since the environmental interference may be dynamically changing, the system also needs to monitor the change of the radio frequency signal strength in real time during the adjustment of the resonance circuit parameters. Once the presence of interference signals is detected, anti-interference measures need to be re-executed to ensure the stability of the system.

[0138] In the above embodiment, by monitoring the change of the radio frequency signal strength in real time, potential interference signals are found in time, and the working frequency of the system is adaptively adjusted according to the frequency interval and signal strength ratio of the interference signals. When significant interference is found, the system can intelligently calculate the frequency offset and adjust to the anti-interference resonance frequency, which effectively avoids external interference while ensuring charging efficiency. This method establishes a complete interference detection and frequency adjustment mechanism. Through the analysis and evaluation of 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 the closed-loop control of parameter adjustment, it ensures that the system can still maintain the optimal charging efficiency in the presence of external interference, and improves the adaptability and reliability of the wireless charging system in the actual application environment.

[0139] The system in the embodiment of the present application will be described from the perspective of hardware processing. Please refer to Figure 3 The entity device structure diagram of an electric vehicle wireless charging automatic calibration system provided by the embodiment of the present application is shown.

[0140] It should be noted that Figure 3 The structure of the system shown is only an example and should not impose any limitation on the function and use range of the embodiment of the present application.

[0141] As Figure 3 shown, the system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 302 or loaded from a storage part 308 to a random access memory (RAM) 303, such as performing the method in the above embodiment. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0142] The following components are connected to the I / O interface 305: an input section 306 including a camera, a microphone, and the like; an output section 307 including a liquid crystal display (LCD), a speaker, and the like; 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, a modem, and the like. The communication section 309 performs a communication process via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as necessary. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is attached to the drive 310 as necessary, so that a computer program read out therefrom is installed in the storage section 308 as necessary.

[0143] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication section 309, and / or installed from the removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present application are executed.

[0144] It should be noted that the computer-readable medium in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, 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, device or apparatus. In the present application, the computer-readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer-readable computer programs. Such a propagated data signal can take many forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above.

[0145] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Each block in the flowcharts or block diagrams can represent a module, a program segment, or a part of code containing one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders than that shown in the drawings. For example, two blocks that are shown in succession can actually be executed substantially in parallel, and sometimes in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams or flowcharts, and the combination of blocks in the block diagrams or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0146] As another aspect, the present application also provides a computer readable storage medium, which can be included in the system described in the above embodiments, or can exist independently without being assembled into the system. The above storage medium carries one or more computer programs, which, when executed by a processor of a system, enable the system to implement the method provided in the above embodiments.

[0147] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

[0148] In the above embodiments, according to the context, the term "when" can be interpreted as "if" or "after" or "in response to determining" or "in response to detecting". Similarly, according to the context, the phrase "upon determining" or "if detecting (the stated condition or event)" can be interpreted as "if determining" or "in response to determining" or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)".

[0149] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by 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, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) mode. 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, data center, etc. integrated with one or more available media. The available media can be magnetic media (for example, floppy disk, hard disk, magnetic tape), optical media (for example, DVD), or semiconductor media (for example, solid state disk) and the like.

[0150] Those skilled in the art can understand that all or part of the processes in the above-mentioned method embodiments can be implemented by a computer program instructing relevant hardware to complete, the program can be stored in a computer readable storage medium, and the program can include the processes of the above-mentioned method embodiments when executed. The aforementioned storage medium includes ROM or random storage memory RAM, magnetic disc or optical disc and various storage code medium.

Claims

1. An automatic calibration method for wireless charging of an electric vehicle, characterized in that, The method comprises the following steps: Collecting charging parameters of the receiving end, the charging parameters including radio frequency signal strength, signal phase consistency and AC-DC conversion efficiency; Feedback the charging parameters to the transmitting end through a wireless communication link; According to the radio frequency signal strength, the signal amplitude difference between each unit of the antenna array is obtained, and according to the signal phase consistency, the phase difference between each unit of the antenna array is obtained, to generate initial phase adjustment parameters and initial amplitude adjustment parameters; According to the initial phase adjustment parameters and the initial amplitude adjustment parameters, the antenna array is initially adjusted, and the adjusted AC-DC conversion efficiency is obtained, specifically including: According to the initial phase adjustment parameters, the phase of each unit of the antenna array is adjusted in turn according to a preset adjustment step, and after adjusting the phase of each 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; According to the initial amplitude adjustment parameters, on the basis of the optimal phase, the amplitude of each unit of the antenna array is adjusted in turn according to the preset adjustment step, and after adjusting the amplitude of each unit, a new temporary AC-DC conversion efficiency is obtained, and the amplitude corresponding to the maximum new temporary AC-DC conversion efficiency is taken as the optimal amplitude of the unit; According to the optimal phase and the optimal amplitude of each unit, an array adjustment matrix is generated; The array adjustment matrix is applied to the antenna array to obtain the adjusted AC-DC conversion efficiency; If the adjusted AC-DC conversion efficiency is less than the target efficiency, the parameters of the adjustable capacitance and inductance network are adjusted according to the AC-DC conversion efficiency until the target resonance frequency is obtained; According to the target resonance frequency, final phase adjustment parameters and final amplitude adjustment parameters are generated; According to the final phase adjustment parameters and the final amplitude adjustment parameters, the units of the antenna array are controlled to perform beamforming, and the transmitting frequency is adjusted to the target resonance frequency; Collecting the radio frequency signal strength at the first time and the radio frequency signal strength at the second time; Calculating the difference between the radio frequency signal strength at the first time and the radio frequency signal strength at the second time; When the difference is greater than a preset threshold, environmental radio frequency noise data is collected; In the case where it is determined that there is an interference signal adjacent to the target resonance frequency in the environmental radio frequency noise data, the frequency interval and the signal strength ratio of the interference signal are calculated; Determine whether the frequency interval is less than a first preset threshold and 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, Based on the frequency interval, a frequency offset is calculated, and the frequency offset is added to the target resonance frequency to obtain an anti-interference resonance frequency; When the frequency interval is not less than the first preset threshold or the signal strength ratio is not greater than the second preset threshold, the target resonance frequency remains unchanged, and the target resonance frequency is taken as the anti-interference resonance frequency; adjusting a transmitting frequency to the anti-interference resonant frequency, and collecting a second adjusted AC-DC conversion efficiency; when the second adjusted AC-DC conversion efficiency is less than the target efficiency, returning to execute the step of adjusting the parameters of the adjustable capacitance and inductance network according to the AC-DC conversion efficiency.

2. The method of claim 1, wherein, The generating a final phase adjustment parameter and a final amplitude adjustment parameter according to the target resonant frequency specifically comprises: collecting signal phase consistency and radio frequency signal strength of the antenna array at different frequency points in 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 weighting and superimposing the phase correction parameter and the initial phase adjustment parameter to obtain a final phase adjustment parameter; calculating an amplitude correction parameter based on the radio frequency signal strength corresponding to the target resonant frequency, and weighting and superimposing the amplitude correction parameter and the initial amplitude adjustment parameter to obtain a final amplitude adjustment parameter.

3. The method of claim 1, wherein, The calculating the frequency interval and signal strength ratio of the interference signal specifically comprises: obtaining a center frequency of the interference signal; calculating an absolute value of a difference between the center frequency of the interference signal and the target resonant frequency to obtain a frequency interval; obtaining signal strength of the interference signal and radio frequency signal strength corresponding to the target resonant frequency; dividing the signal strength of the interference signal by the radio frequency signal strength corresponding to the target resonant frequency to obtain a signal strength ratio.

4. The method of claim 1, wherein, Before the collecting environmental radio frequency noise data, the method further comprises: obtaining a working frequency range of the antenna array; setting a plurality of frequency points for scanning sampling in the working frequency range; filtering the sampling data of the plurality of frequency points to obtain environmental radio frequency noise data.

5. The method of claim 4, wherein, The filtering the sampling data of the plurality of frequency points to obtain environmental radio frequency noise data specifically comprises: calculating a mean value and a standard deviation of the sampling data of the plurality of frequency points; eliminating abnormal sampling data deviating from the mean value by more than a preset multiple of the standard deviation; performing weighted average on the remaining sampling data to obtain the environmental radio frequency noise data.

6. An electric vehicle wireless charging automatic calibration system, characterized in that, The system comprises: one or more processors and a memory; the memory is coupled with the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors invoke the computer instructions to enable the system to execute the method in any one of claims 1-5.

7. A computer-readable storage medium comprising instructions, wherein: When the instructions run on the system, the system is enabled to execute the method in any one of claims 1-5.

8. A computer program product, characterised in that, When the computer program product runs on the system, the system is enabled to execute the method in any one of claims 1-5.

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