Capacitance parameter optimization method and system of wireless charging system

Abstract

The invention discloses a capacitance parameter optimization method and system for a wireless charging system, and relates to the technical field of wireless power transmission, and the method comprises the steps: carrying out the compensation based on a first structure, and measuring data through a first tool; performing data derivation through a first analysis method, and calculating a first parameter index; by constraining capacitance parameters, output voltage fluctuation is optimized, and the anti-offset capability is improved. According to the method, the problem of parameter constraint optimization based on an S / SP compensation network is constructed aiming at the problems of limited output voltage gain, poor anti-offset capability, poor anti-load fluctuation capability and the like in a wireless electric energy transmission system, a proper compensation capacitance value is obtained by solving the optimization problem, and under the proper capacitance value, the compensation capacity of the wireless electric energy transmission system is improved. The output voltage can be close to the expected voltage, and the offset resistance and load fluctuation resistance of the wireless power transmission system are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of wireless power transmission technology, and in particular to a method and system for optimizing capacitance parameters of a wireless charging system. Background Art

[0002] Wireless power transfer (WPT) is a new technology that has flourished in recent years. It enables the transmission of electrical energy between two devices without any physical connection. Therefore, it effectively solves the equipment failure and safety issues caused by damage to wires and cables. It has a wide range of applications in mobile phone charging, electric vehicles, drones, and online power supply devices for equipment.

[0003] A wireless power transmission circuit comprises an inverter, a primary-side compensation circuit, receiving and transmitting coils, a secondary-side compensation circuit, and a rectifier and filter circuit. The compensation structure of a wireless power transmission circuit is a key factor influencing the circuit's output characteristics. Traditional wireless power transmission configurations include S / S, S / P, P / S, and P / P. However, these traditional configurations only maintain constant output power but cannot guarantee constant voltage output. Furthermore, when the transmitting and receiving coils are offset, the mutual inductance of the coils fluctuates significantly. With traditional compensation networks, the output also fluctuates significantly, resulting in poor system offset resistance. Compared to traditional compensation configurations, the S / SP compensation mechanism offers improved constant-voltage offset resistance. However, current design methods for S / SP capacitor compensation parameters do not include methods for adjusting the input and output voltage gain. Therefore, adjustments must be made based on the desired output voltage. Furthermore, the S / SP topology's tolerance to mutual inductance fluctuations still requires further improvement.

[0004] Based on this, the wireless energy transmission system based on the S / SP compensation network requires a parameter design method that can meet different output voltages and has strong anti-offset performance, aiming to improve the flexibility and anti-offset capability of the constant voltage wireless energy transmission system. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is: the existing S / SP compensation network capacitor parameter design method has the problems of being unable to adjust the input and output voltage gains, insufficient anti-mutual inductance fluctuation performance, and difficulty in meeting different output voltage requirements; and how to achieve S / SP compensation network capacitor parameter design with adjustable output voltage and strong anti-offset performance.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a method for optimizing capacitance parameters of a wireless charging system, comprising performing compensation based on a first structure and measuring data through a first tool; performing data deduction through a first analysis method and calculating a first parameter index; and optimizing output voltage fluctuations and improving anti-offset capability by constraining capacitance parameters.

[0008] As a preferred solution of the capacitance parameter optimization method of the wireless charging system described in the present invention, the compensation based on the first structure includes transmission compensation based on the first structure.

[0009] As a preferred solution of the capacitance parameter optimization method of the wireless charging system described in the present invention, wherein: measuring data by the first tool includes measuring inductance data of the first structure by the first tool.

[0010] As a preferred solution of the capacitance parameter optimization method of the wireless charging system described in the present invention, wherein: the data derivation using the first analysis method includes deriving the first structural data using the first analysis method.

[0011] As a preferred solution of the capacitance parameter optimization method of the wireless charging system described in the present invention, wherein: the calculating the first parameter index includes calculating the expected voltage gain of the first parameter index based on data deduction.

[0012] As a preferred solution of the capacitance parameter optimization method of the wireless charging system of the present invention, the constraining the capacitance parameter includes defining a constrained optimization problem of the capacitance parameter based on the sugar-water inequality principle using the inductance data of the first structure and the expected voltage gain of the first parameter indicator, which is expressed as:

[0013]

[0014] Among them, maxC / A is the optimization objective function, A is the anti-offset capability of the wireless power transmission system, B is the output voltage frequency characteristic parameter, C is the sensitivity parameter of the mutual inductance variation range to the output voltage fluctuation, L P is the self-inductance of the transmitting coil, L s is the self-inductance of the receiving coil, ω is the angular frequency of the inverter operation, a is the desired voltage gain, C P is the primary series capacitance value, C s1 is the secondary side series capacitance value, M0 is the mutual inductance reference value under ideal coupling state, M min is the minimum mutual inductance of the transmitting and receiving coils, M max is the maximum mutual inductance of the transmitting and receiving coils; the expressions of A, B, and C are defined as follows:

[0015]

[0016] Among them, X1 is the net impedance of the primary series compensation network, X2 is the net impedance of the secondary series compensation network, X3 is the capacitive reactance of the secondary shunt capacitor, R E is the resistance value of the load connected to the wireless power transmission system; the expressions of X1, X2, and X3 are defined as follows:

[0017]

[0018] Among them, C s2 is the secondary side parallel capacitance value.

[0019] As a preferred solution of the capacitor parameter optimization method of the wireless charging system described in the present invention, wherein: the optimization of output voltage fluctuation and improvement of anti-offset capability include solving the constrained optimization problem of capacitor parameters and calculating the primary series capacitor value C P , secondary side series capacitance value C s1 And the secondary side parallel capacitance value C s2 , the final parameters need to meet the wireless power transmission system in M min and M max Output voltage fluctuation percentage λ OVF The actual anti-offset performance of the capacitance parameters is verified through simulation.

[0020] Another object of the present invention is to provide a capacitor parameter optimization system for a wireless charging system. This system can optimize output voltage fluctuations and improve anti-drift capability by constraining capacitor parameters, thereby resolving the problem that current S / SP compensation network capacitor parameter design methods have difficulty meeting different output voltage requirements.

[0021] As a preferred solution of the capacitor parameter optimization system of the wireless charging system described in the present invention, it includes: a data measurement module, a data derivation module, and an optimization output module; the data measurement module is used to perform compensation based on a first structure and measure data using a first tool; the data derivation module is used to perform data derivation using a first analysis method and calculate a first parameter index; the optimization output module is used to optimize output voltage fluctuations and improve anti-offset capability by constraining capacitor parameters.

[0022] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a method for optimizing capacitance parameters of a wireless charging system.

[0023] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for optimizing capacitance parameters of a wireless charging system.

[0024] Beneficial effects of the present invention: The capacitor parameter optimization method for the wireless charging system provided by the present invention can not only realize adjustable output voltage, but also greatly reduce the output voltage fluctuation under the mutual inductance fluctuation of the coil, thereby greatly enhancing the anti-offset capability of the coil. The wireless charging system is transmitted compensated through the S / SP compensation network structure, and professional tools are used to accurately measure the self-inductance values of the transmitting coil and the receiving coil as well as the mutual inductance values at different offset positions. The fundamental wave analysis method is used to derive the S / SP compensation network structure data, and the ratio between the expected output voltage and the input voltage, that is, the expected voltage gain, is calculated. Based on the sugar-water inequality principle, a constrained optimization problem of the capacitor parameters is defined, and the primary side series capacitance value, the secondary side series capacitance value and the secondary side parallel capacitance value are calculated by solving the optimization problem to optimize the output voltage fluctuation and improve the anti-offset capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is an overall flow chart of a capacitance parameter optimization method for a wireless charging system provided by the first embodiment of the present invention.

[0027] Figure 2 A wireless power transmission circuit diagram of a capacitance parameter optimization method for a wireless charging system provided by the first embodiment of the present invention.

[0028] Figure 3 This is an equivalent circuit diagram of a wireless power transmission circuit for a capacitance parameter optimization method of a wireless charging system provided by the first embodiment of the present invention.

[0029] Figure 4 This is a diagram showing the simulated waveforms of the inverter voltage and transmitting coil current when the expected gain is 1 according to a method for optimizing capacitance parameters of a wireless charging system provided by the second embodiment of the present invention.

[0030] Figure 5 This is a simulation diagram of the inverter output voltage mutual inductance relationship curve when the expected gain is 1 for a capacitor parameter optimization method for a wireless charging system provided by the second embodiment of the present invention.

[0031] Figure 6 This is a simulation diagram of the inverter output voltage mutual inductance relationship curve when the expected gain is 0.5 for a capacitor parameter optimization method for a wireless charging system provided by the second embodiment of the present invention.

[0032] Figure 7A schematic diagram of modules of a capacitance parameter optimization system for a wireless charging system provided by a third embodiment of the present invention. DETAILED DESCRIPTION

[0033] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0034] Example 1, with reference to Figure 1-Figure 3 , as one embodiment of the present invention, provides a method for optimizing capacitance parameters of a wireless charging system, comprising:

[0035] S1: Compensation is performed based on a first structure, and data is measured by a first tool.

[0036] Furthermore, performing compensation based on the first structure includes performing transmission compensation based on the first structure.

[0037] Among them, the first structure is the S / SP compensation network structure, such as Figure 2 As shown, the transmitting end includes the primary coil L P The series capacitor C P , the receiving end includes a receiving coil L s The series capacitor C s1 And with L s 、C s1 The parallel capacitor C s2 In addition to the compensation network, it also includes a full-bridge inverter circuit composed of switch tubes T1, T2, T3, and T4 at the front stage and a diode D1, D2, D3, D4 and a filter capacitor C at the back stage. f The rectifier-filter circuit composed of R L is the load resistance.

[0038] It should be noted that measuring data by using the first tool includes measuring inductance data of the first structure by using the first tool.

[0039] Among them, the inductance data includes the self-inductance of the transmitting coil L P , receiving coil self-inductance L s , the minimum value of the mutual inductance of the coil in all possible offset ranges M min and the maximum value M max .

[0040] Measuring data by the first tool may be performed by using an inductance meter, an LCR meter, or other methods capable of measuring inductance data.

[0041] It should also be noted that in the embodiment of the present application, the inductance data of the S / SP compensation network structure is measured by an inductance meter. For example, an Agilent 4284A LCR meter is used to measure the inductance parameters of the transmitting coil and the receiving coil of the wireless power transmission system. The specific steps are:

[0042] First, according to the system operating frequency range, select an appropriate measurement frequency point, such as 200kHz, to ensure the accuracy of the measurement results. Then, connect the two test clips of the LCR meter to the two ends of the transmitting coil and the receiving coil respectively, and set the measurement range to ensure that the measured value falls within the range. In order to improve the measurement accuracy, repeat the measurement several times and record the self-inductance value L of the transmitting coil for each measurement. P , receiving coil self-inductance value L s And the mutual inductance value M at different offset positions. By analyzing multiple measurement results, the average value of each measurement point is calculated, and a curve of the mutual inductance value M changing with the offset distance is drawn. According to the curve, the changing trend of the mutual inductance value with the offset distance can be intuitively observed, and the minimum value of the mutual inductance M can be determined. min and the maximum value M max , providing an accurate data basis for subsequent parameter optimization.

[0043] It should also be noted that, in an optional embodiment, the inductance data of the S / SP compensation network structure is measured using an LCR meter. For example, a Keysight E4980A impedance analyzer is used to measure the inductance parameters of the transmitting coil and the receiving coil of the wireless power transmission system. The specific steps are:

[0044] The impedance analyzer has higher measurement accuracy and a wider frequency range, which can more comprehensively evaluate the impedance characteristics of the coil. First, according to the operating frequency range of the system, select multiple measurement frequency points, such as 100kHz, 200kHz and 300kHz, to ensure the accuracy of the measurement results. Then, connect the two test clips of the impedance analyzer to the two ends of the transmitting coil and the receiving coil respectively, and set the measurement parameters, such as frequency, range, etc. In order to improve the measurement accuracy, perform multiple repeated measurements and record the self-inductance value L of the transmitting coil for each measurement. P , receiving coil self-inductance value L s The mutual inductance values at different offset positions, as well as the resistance and capacitance values of the coil, are analyzed. By analyzing multiple measurement results, the average value of each measurement point is calculated, and a curve of the mutual inductance, resistance, and capacitance values versus offset distance is plotted. Based on the curve, the trend of the mutual inductance, resistance, and capacitance values versus offset distance can be intuitively observed, and the minimum value of the mutual inductance, M, can be determined. min and the maximum value M max, as well as the coil's quality factor, providing a more detailed data foundation for subsequent parameter optimization. This measurement method is suitable for scenarios requiring evaluation of coil impedance characteristics, such as evaluating the coil's quality factor and analyzing how the coil's impedance changes at different offset distances. This provides an important reference for optimizing coil design and improving wireless power transmission efficiency.

[0045] S2: deriving data through the first analysis method and calculating the first parameter index.

[0046] Furthermore, deriving data through the first analysis method includes deriving first structure data through the first analysis method.

[0047] Calculating the first parameter index includes calculating the first parameter index expected voltage gain based on data deduction, specifically, calculating the ratio between the expected output voltage and the input voltage, that is, the expected voltage gain a, through a mathematical analysis method according to the parameters and characteristics of the S / SP compensation network structure.

[0048] The data derivation performed by the first analysis method may be a fundamental wave analysis method, a harmonic analysis method, or other methods capable of performing data derivation.

[0049] It should be noted that, in the embodiment of the present application, the S / SP compensation network structure data is derived by the fundamental wave analysis method, and the specific steps are:

[0050] Establish a fundamental wave equivalent circuit model and equate the S / SP compensation network to a controlled source circuit. Figure 2 The wireless power transmission circuit shown can be analyzed and equivalent using a controlled source model. The equivalent diagram is shown in Figure 3 As shown, in Figure 3 Where I1 and I2 are the currents flowing through the primary and secondary coils respectively, R E is the equivalent load resistance. According to the fundamental wave analysis method, Figure 3 Voltage gain a of the AC circuit E =U ab / U AB and Figure 2 The relationship between input and output voltage gain a=U o / U dc , and the equivalent load resistance R E and the actual load R L There is the following relationship, expressed as:

[0051]

[0052] According to Kirchhoff's voltage law, the input voltage U AB With output voltage U ab The relationship is expressed as:

[0053]

[0054] Where ω is the angular frequency of the inverter operation, X1 is the net impedance of the primary series compensation network, X2 is the net impedance of the secondary series compensation network, and X3 is the capacitive reactance of the secondary shunt capacitor. The expressions of X1, X2, and X3 are expressed as follows:

[0055]

[0056] For the effective value of the output voltage, U ab and U AB The relationship is expressed as:

[0057]

[0058] Among them, A is the anti-offset capability of the wireless power transmission system, B is the output voltage frequency characteristic parameter, and C is the sensitivity parameter of the mutual inductance variation range to the output voltage fluctuation. The expressions of A, B, and C are expressed as follows:

[0059]

[0060] If X1 and X2 satisfy the following constraints, they can be expressed as:

[0061]

[0062] X2=a E M0

[0063] Wherein, M0 is the mutual inductance reference value under the ideal coupling state.

[0064] Then the wireless power transmission system is expressed as follows when the mutual inductance M=M0:

[0065] U ab =a E U AB

[0066] It means that the voltage gain of the wireless power transmission system is a when the mutual inductance M=M0. E .

[0067] It should be noted that, in an optional embodiment, the S / SP compensation network structure data is derived by a harmonic analysis method, and the specific steps are:

[0068] First, a multi-band equivalent circuit model is established, considering the high-order harmonics (such as the 3rd and 5th harmonics) contained in the square wave voltage output by the inverter, and the S / SP compensation network is expanded into a multi-band equivalent model. For each harmonic frequency band, the impedance characteristics of the primary and secondary sides are defined respectively, and their impact on the overall performance of the system is analyzed. Secondly, the harmonic components are decomposed and their effects are superimposed. Through Fourier decomposition, the square wave voltage output by the inverter is disassembled into the fundamental wave and each harmonic component. The transmission characteristics of each harmonic in the compensation network are calculated respectively, and the induced voltage generated by each harmonic on the secondary side is evaluated, and its contribution to the final output voltage is superimposed. Finally, the parameters are optimized to suppress harmonic interference and adjust the primary series capacitor C P and the secondary capacitor C s1 、C s2 The capacitance value is optimized so that the system reaches a resonant state at the fundamental frequency. At the same time, it presents high impedance characteristics to higher harmonics, reducing the energy transmitted to the load end. Frequency domain simulation is used to verify whether the optimized capacitance parameters can effectively suppress the voltage fluctuations caused by harmonics.

[0069] S3: By constraining the capacitor parameters, the output voltage fluctuation is optimized and the anti-offset capability is improved.

[0070] Furthermore, by constraining the capacitor parameters, including the inductance data of the first structure and the expected voltage gain of the first parameter indicator, based on the sugar-water inequality principle, a constrained optimization problem of the capacitor parameters is defined, which is expressed as:

[0071]

[0072] Among them, maxC / A is the optimization objective function, A represents the interaction between the primary and secondary impedances and the extreme value of the mutual inductance, and is used to evaluate the anti-offset capability of the wireless power transmission system. B represents the product of the equivalent load resistance and the total primary and secondary impedance, and is used to describe the impact of the energy loss of the wireless power transmission system on the output voltage. C represents the sensitivity of the mutual inductance variation range to output voltage fluctuations. The larger the C value, the stronger the anti-offset capability of the wireless power transmission system.

[0073] It should be noted that optimizing the output voltage fluctuation and improving the anti-drift capability includes solving the constrained optimization problem of the capacitor parameters and calculating the primary series capacitor value C P , the secondary side series capacitance value Cs1 and the secondary side parallel capacitance value C s2 , the final parameters need to meet the wireless power transmission system in M min and M max Output voltage fluctuation percentage λ OVF The actual anti-offset performance of the capacitance parameters is verified through simulation.

[0074] It should also be noted that in the data derivation, U ab and UAB The denominator of the relationship contains a check function about M, so as M increases, U ab It will show a trend of monotonically increasing first and then monotonically decreasing. To enhance the system's anti-offset characteristics, the output voltage should not show a monotonic function trend within the mutual inductance range of the receiving coil and the transmitting coil. Instead, it should show a trend of monotonically increasing first and then monotonically decreasing within the minimum and maximum mutual inductance ranges. According to functional knowledge, when the output voltage of the wireless power transmission system is the same at the minimum and maximum mutual inductance, the wireless power transmission system has excellent anti-offset characteristics, which can be expressed as:

[0075]

[0076] After simplification, it is expressed as:

[0077] A(ωM min ) 2 (ωM max ) 2 =B

[0078] Output voltage fluctuation percentage Commonly used output voltage fluctuation λ OVF Evaluation, for Figure 3 The equivalent circuit expression is:

[0079]

[0080] Wireless power transmission system with mutual inductance M min or M max When there is U ab =U abmin ,exist When λ OVF The expression can be simplified as follows:

[0081]

[0082] According to the principle of the sugar water inequality, the larger the value of C / A, the greater the value of λ OVF The smaller it is, the smaller the voltage fluctuation of the wireless power transmission system is and the stronger the anti-deviation capability is.

[0083] Example 2, reference Figure 4-Figure 6 , which is an embodiment of the present invention, provides a method for optimizing the capacitance parameters of a wireless charging system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0084] In order to verify the feasibility of the proposed capacitor parameter optimization method for a wireless charging system, a simulation was carried out on PLECs. The simulation parameters are shown in Table 1.

[0085] Table 1 Parameter selection of each component in the converter

[0086] element Parameter value DC input power supply voltage / V 100 Inverter operating frequency / kHz 200 Rated load / Ω 150 Expected output gain a 1、0.5 Receiving coil and transmitting coil inductance / μH 30 Mutual inductance variation range / μH 5-10 Filter capacitor / μF 2

[0087] When the expected gain a = 1, the constrained optimization problem of the capacitor parameters is solved by the fmincon tool in MATLAB. It is found that when X1 = X2 = 6.283, X3 = 18.062, the maximum C / A is 77.215. At this time, the capacitance value is: C P =25.33nF, C S1 =24.62nF, C s2 =44.058nF.

[0088] Inverter output voltage U ab The simulation waveform of the current I1 flowing through the primary coil is as follows: Figure 4 As shown in the figure, the waveform of I1 is magnified 10 times to facilitate observation of its shape. Figure 4 It can be seen from the figure that the inverter output voltage is a two-level square wave signal of 100V and -100V, and the primary coil current is approximately in the shape of a triangle wave with a phase lag of 90°. Therefore, this design can achieve zero voltage switching.

[0089] Figure 5 When the wireless power transmission system is under rated load and the mutual inductance changes from 5 to 10 μH, the output voltage U o From the simulation value of Figure 5 As can be seen, as the mutual inductance increases, the voltage first increases and then decreases. The difference between the maximum and minimum voltages is only 8.43V, so the voltage fluctuation percentage is less than 10%, demonstrating the system's anti-drift characteristics.

[0090] When the expected gain a=0.5, similarly, the constrained optimization problem of the capacitor parameters is solved by the fmincon tool in MATLAB, and it is found that when X1=13.576, X2=2.907, and X3=8.735, the maximum C / A is -78.5. At this time, the capacitance value is: C P =32.98nF, C s1 =22.87nF, C s2 =91.101nF,

[0091] When the expected gain is 0.5, Figure 6 The output voltage U is when the system is under rated load and the mutual inductance changes from 5 to 10 μH. o From the simulation value of Figure 6As can be seen, the voltage also exhibits a pattern of first increasing and then decreasing as the mutual inductance increases. At this point, with the desired gain set to 0.5, the output voltage drops to half its original value, only around 50V, consistent with theoretical analysis. When the mutual inductance varies by nearly a factor of 2, the voltage fluctuation is only 3.67V, within a 10% range. Therefore, the system is resilient to fluctuations in mutual inductance, significantly enhancing the offset tolerance of constant-voltage wireless power transmission systems.

[0092] The simulation results prove that the proposed capacitor parameter optimization method for a wireless charging system can be designed for different output voltage gains without being restricted by the output voltage. It can also reduce the output voltage fluctuation when the mutual inductance fluctuates greatly, thereby greatly enhancing the anti-offset capability.

[0093] Example 3, reference Figure 7 , as an embodiment of the present invention, provides a capacitance parameter optimization system for a wireless charging system, including a data measurement module, a data derivation module, and an optimization output module.

[0094] The data measurement module is used to perform compensation based on the first structure and measure data through a first tool; the data derivation module is used to derive data through a first analysis method and calculate a first parameter index; the output optimization module is used to optimize the output voltage fluctuation and improve the anti-offset capability by constraining the capacitance parameters.

[0095] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0096] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0097] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0098] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc. It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to be limiting. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications should be encompassed by the claims of the present invention.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing capacitance parameters of a wireless charging system, characterized in that: include: performing compensation based on the first structure and measuring data using a first tool; Deducing data using a first analysis method to calculate a first parameter index; By constraining the capacitor parameters, the output voltage fluctuation is optimized and the anti-offset capability is improved.

2. The method for optimizing capacitance parameters of a wireless charging system according to claim 1, wherein: The performing compensation based on the first structure includes performing transmission compensation based on the first structure.

3. The method for optimizing capacitance parameters of a wireless charging system according to claim 2, wherein: Measuring data by using the first tool includes measuring inductance data of the first structure by using the first tool.

4. The method for optimizing capacitance parameters of a wireless charging system according to claim 3, wherein: The data derivation by the first analysis method includes derivation of the first structure data by the first analysis method.

5. The method for optimizing capacitance parameters of a wireless charging system according to claim 4, wherein: The calculating the first parameter indicator includes calculating the first parameter indicator expected voltage gain based on data deduction.

6. The method for optimizing capacitance parameters of a wireless charging system according to claim 5, wherein: The constraining of the capacitance parameters includes defining a constrained optimization problem of the capacitance parameters based on the sugar-water inequality principle using the inductance data of the first structure and the expected voltage gain of the first parameter indicator, which is expressed as: Among them, maxC / A is the optimization objective function, A is the anti-offset capability of the wireless power transmission system, B is the output voltage frequency characteristic parameter, C is the sensitivity parameter of the mutual inductance variation range to the output voltage fluctuation, and L P is the self-inductance of the transmitting coil, L s is the self-inductance of the receiving coil, ω is the angular frequency of the inverter operation, a is the desired voltage gain, C P is the primary series capacitance value, C s1 is the secondary side series capacitance value, M0 is the mutual inductance reference value under ideal coupling state, M min is the minimum mutual inductance of the transmitting and receiving coils, M max is the maximum mutual inductance of the transmitting and receiving coils; Define the expressions of A, B, and C as follows: Among them, X1 is the net impedance of the primary series compensation network, X2 is the net impedance of the secondary series compensation network, X3 is the capacitive reactance of the secondary shunt capacitor, R E is the resistance value of the load connected to the wireless power transmission system; Define the expressions of X1, X2, and X3 as follows: Among them, C s2 is the secondary side parallel capacitance value.

7. The method for optimizing capacitance parameters of a wireless charging system according to claim 6, wherein: The optimization of output voltage fluctuation and improvement of anti-drift capability include solving the constrained optimization problem of capacitor parameters and calculating the primary series capacitor value C P , secondary side series capacitance value C s1 And the secondary side parallel capacitance value C s2 , the final parameters need to meet the wireless power transmission system in M min and M max Output voltage fluctuation percentage λ OVF The actual anti-offset performance of the capacitance parameters is verified through simulation.

8. A system using the capacitance parameter optimization method of a wireless charging system according to any one of claims 1 to 7, characterized in that: Including data measurement module, data derivation module, and optimization output module; The data measurement module is used to perform compensation based on the first structure and measure data using a first tool; The data derivation module is used to perform data derivation by a first analysis method and calculate a first parameter index; The output optimization module is used to optimize output voltage fluctuation and improve anti-drift capability by constraining capacitor parameters.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the capacitance parameter optimization method for the wireless charging system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the capacitance parameter optimization method for a wireless charging system according to any one of claims 1 to 7 are implemented.

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