Self-adaptive optimization method and system of wireless charging system

Abstract

The invention discloses a self-adaptive optimization method and system for a wireless charging system. The method comprises the following steps: constructing a coupling mechanism model of the wireless charging system; correcting the oscillation compensation model by using the global correction function to obtain a target oscillation compensation model, and obtaining a first primary side capacitance compensation value and a first secondary side capacitance compensation value by using the target oscillation compensation model; according to the first primary side capacitance compensation value and the first secondary side capacitance compensation value, primary compensation is carried out on the primary side capacitance and the secondary side capacitance; searching a second primary side capacitance compensation value enabling the primary side network current to be minimum from the first function model by utilizing an extreme value method, and searching a second secondary side capacitance compensation value enabling the secondary side network current to be maximum from the second function model; and carrying out secondary compensation on the primary side capacitor and the secondary side capacitor. The model is prevented from falling into global optimum in the process of searching the optimal solution, the frequency detuning problem caused by coupling mechanism parameter drift and coil self-inductance fluctuation can be inhibited, and the stability and transmission efficiency of the output power are improved.

Description

Technical Field

[0001] The present invention relates to the field of wireless charging technology, and in particular to an adaptive optimization method and system for a wireless charging system. Background Art

[0002] Compared to traditional wired charging, wireless power transfer (WPT) eliminates the need for repetitive plugging and unplugging of charging ports, making it more flexible and safer. WPT technology is rapidly developing, achieving breakthroughs in transmission performance, including power, distance, and efficiency. It is widely used in areas such as mobile phone charging and implantable medical devices.

[0003] As a carrier of energy transmission, the magnetic coupling mechanism is a core component of the wireless charging system. The design of its structure and parameters is directly related to the transmission performance of the wireless charging system. Both the primary and secondary coils in the magnetic coupling mechanism require compensation topologies to improve transmission performance. The selection of compensation topologies and parameter optimization both affect the system's transmission performance. Higher-order topologies have more variable parameters and exhibit nonlinear characteristics in their mathematical models. Many parameters often conflict with each other. On the one hand, existing parameter configuration schemes are prone to falling into local optimality, making it difficult to achieve global optimality. On the other hand, during use, vibrations in the coupling mechanism cause many parameters to oscillate, especially the coil self-inductance and mutual inductance parameters, which can cause output power fluctuations and reduced efficiency. Summary of the Invention

[0004] In the prior art, the magnetic coupling mechanism of the wireless charging system has many parameters, making it difficult to achieve global optimization. When the coupling mechanism vibrates, it causes output power fluctuations and reduced efficiency.

[0005] To address the above problems, an adaptive optimization method and system for a wireless charging system are proposed. By connecting a capacitance compensation unit in series in the primary and secondary networks of the coupling mechanism, the capacitance can be adaptively adjusted according to instructions. By constructing an oscillation compensation model, the capacitance parameters can be compensated in time when the coupling mechanism oscillates. The oscillation compensation model is corrected by using a global correction function to avoid the model falling into the global optimum in the process of finding the optimal solution. By adopting the extreme value search method to obtain the second primary capacitance compensation value and the second secondary capacitance compensation value and perform secondary capacitance compensation, it is helpful to further suppress the frequency detuning problem caused by coupling mechanism parameter drift and coil self-inductance fluctuation, thereby improving the output power stability and transmission efficiency.

[0006] In a first aspect, an adaptive optimization method for a wireless charging system includes: Step 100: Construct a coupling mechanism model of the wireless charging system, the coupling mechanism model including a primary network and a secondary network coupled to the primary network, obtain a capacitance compensation unit, and connect the capacitance compensation unit in series to the primary network and the secondary network respectively; Step 200: Build a model objective function using the input voltage and input impedance angle of the primary network, configure a first capacitance compensation range of the primary network and a second capacitance compensation range of the secondary network, build constraints using the first capacitance compensation range and the second capacitance compensation range, build an oscillation compensation model using the model objective function and the constraints, obtain a global correction function, correct the oscillation compensation model using the global correction function to obtain a target oscillation compensation model, and use the target oscillation compensation model to obtain a first primary capacitance compensation value and a first secondary capacitance compensation value; Step 300: Compensate the primary capacitance and the secondary capacitance respectively according to the first primary capacitance compensation value and the first secondary capacitance compensation value, and calculate a first transmission efficiency value of the wireless charging system; Step 400: Construct a first function model of the primary network current and the compensation capacitor, and a second function model of the secondary network current and the compensation capacitor. If the first transmission efficiency value is less than a specified threshold, use an extreme value method to search for a second primary capacitor compensation value that minimizes the primary network current from the first function model, and search for a second secondary capacitor compensation value that maximizes the secondary network current from the second function model. Step 500 : Perform secondary compensation on the primary capacitance and the secondary capacitance respectively according to the second primary capacitance compensation value and the second secondary capacitance compensation value.

[0007] In conjunction with the adaptive optimization method for a wireless charging system according to the first aspect of the present invention, in a first possible implementation, step 200 includes: Step 210: Obtain an expected input voltage range and a maximum oscillation voltage and a minimum oscillation voltage of the input voltage within the oscillation range when oscillation occurs, and obtain an input voltage target function using the expected input voltage range, the maximum oscillation voltage, and the minimum oscillation voltage. Step 220: Obtain an expected range of the input impedance angle, and obtain a maximum value and a minimum value of the input impedance angle within the oscillation range when oscillation occurs, and obtain an input impedance angle target function using the expected range of the input impedance angle, the maximum value and the minimum value of the oscillation impedance angle; Step 230: Acquire the model objective function according to the input voltage objective function and the input impedance angle objective function.

[0008] In conjunction with the adaptive optimization method for a wireless charging system according to the first aspect of the present invention, in a second possible implementation, step 200 includes: Step 240: Obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range; calculate a first capacitance compensation maximum value and a first capacitance compensation minimum value based on the system frequency and the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network; and calculate the first capacitance compensation range based on the first capacitance compensation maximum value and the first capacitance compensation minimum value. Step 250: Obtain the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary network, calculate the second capacitance compensation maximum value and the second capacitance compensation minimum value based on the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary network, and obtain the second capacitance compensation range based on the second capacitance compensation maximum value and the second capacitance compensation minimum value.

[0009] In conjunction with the adaptive optimization method for a wireless charging system according to the first aspect of the present invention, in a third possible implementation, step 200 includes: Step 260: Obtain the speed iteration function of the oscillation compensation model to obtain the global factor and the local optimal solution; Step 270: Construct the global correction function according to the speed iteration function, the global factor and the local optimal solution.

[0010] In conjunction with the adaptive optimization method for a wireless charging system according to the first aspect of the present invention, in a fourth possible implementation, step 400 includes: Step 410: Use the capacitance compensation unit to perform coarse adjustment on the primary capacitance and the secondary capacitance with the first step length, and obtain three adjacent capacitance compensation values of the primary capacitance and three corresponding primary currents, and three adjacent capacitance compensation values of the secondary capacitance and three corresponding secondary currents, respectively. Step 420: If the extreme value of the primary current appears within the first current interval defined by the three primary currents, and the extreme value of the secondary current appears within the second current interval defined by the three secondary currents, fine-tune the primary and secondary capacitors respectively with a second step size until the first and second extreme values of the primary and secondary currents are found. Step 430: Obtain a first capacitance value corresponding to the first current extreme point, use the first capacitance value as a second primary capacitance compensation value, obtain a second capacitance value corresponding to the second current extreme point, and use the second capacitance value as a second secondary capacitance compensation value.

[0011] In a second aspect, an adaptive optimization system for a wireless charging system adopts the adaptive optimization method for a wireless charging system according to the first aspect, comprising: A first building module is configured to build a coupling mechanism model of the wireless charging system, the coupling mechanism model including a primary network and a secondary network coupled to the primary network, obtain a capacitance compensation unit, and connect the capacitance compensation unit in series to the primary network and the secondary network respectively; A second construction module is used to construct a model objective function using the input voltage and input impedance angle of the primary network, configure a first capacitance compensation range of the primary network and a second capacitance compensation range of the secondary network, construct constraint conditions using the first capacitance compensation range and the second capacitance compensation range, construct an oscillation compensation model using the model objective function and the constraint conditions, and obtain a global correction function; a correction module, configured to correct the oscillation compensation model using the global correction function to obtain a target oscillation compensation model, and obtain a first primary capacitance compensation value and a first secondary capacitance compensation value using the target oscillation compensation model; a primary compensation module, configured to perform primary compensation on the primary capacitance and the secondary capacitance respectively according to the first primary capacitance compensation value and the first secondary capacitance compensation value, and calculate a first transmission efficiency value of the wireless charging system; an extreme value search module, configured to construct a first function model of the primary network current and the compensation capacitor and a second function model of the secondary network current and the compensation capacitor, and, if the first transmission efficiency value is less than a specified threshold, use an extreme value method to search from the first function model for a second primary capacitor compensation value that minimizes the primary network current, and to search from the second function model for a second secondary capacitor compensation value that maximizes the secondary network current; The secondary compensation module is used to perform secondary compensation on the primary capacitance and the secondary capacitance according to the second primary capacitance compensation value and the second secondary capacitance compensation value respectively.

[0012] In conjunction with the adaptive optimization system for the wireless charging system according to the second aspect of the present invention, in a first possible implementation manner, the second building module includes: a first calculation unit, configured to obtain an expected range of the input voltage and a maximum oscillation voltage and a minimum oscillation voltage of the input voltage within the oscillation range when oscillation occurs, and calculate an input voltage target function using the expected range of the input voltage, the maximum oscillation voltage and the minimum oscillation voltage; A second calculation unit is used to obtain an expected range of the input impedance angle, and obtain a maximum oscillation impedance angle and a minimum oscillation impedance angle of the input impedance angle within the oscillation range when oscillation occurs, and obtain an input impedance angle target function using the expected range of the input impedance angle, the maximum oscillation impedance angle, and the minimum oscillation impedance angle; The first construction unit is used to construct and obtain the model objective function according to the input voltage objective function and the input impedance angle objective function.

[0013] In conjunction with the adaptive optimization system for the wireless charging system according to the second aspect of the present invention, in a second possible implementation manner, the second building module further includes: a third calculation unit, configured to obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range, calculate a first capacitance compensation maximum value and a first capacitance compensation minimum value according to the system frequency and the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network, and obtain the first capacitance compensation range according to the first capacitance compensation maximum value and the first capacitance compensation minimum value; The fourth calculation unit is used to obtain the maximum mutual inductance and minimum mutual inductance of the system frequency and the secondary side network, calculate the second capacitor compensation maximum value and the second capacitor compensation minimum value based on the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary side network, and calculate the second capacitor compensation range based on the second capacitor compensation maximum value and the second capacitor compensation minimum value.

[0014] In conjunction with the adaptive optimization system for the wireless charging system according to the second aspect of the present invention, in a third possible implementation manner, the second building module further includes: The second construction unit is used to obtain the speed iteration function of the oscillation compensation model, obtain the global factor and the local optimal solution, and construct the global correction function according to the speed iteration function, the global factor and the local optimal solution.

[0015] In conjunction with the adaptive optimization system for the wireless charging system according to the second aspect of the present invention, in a fourth possible implementation, the extreme value search module includes: a first search unit, configured to use the capacitance compensation unit to perform a coarse adjustment on the primary capacitance and the secondary capacitance with a first step length, and respectively obtain three adjacent capacitance compensation values of the primary capacitance and three corresponding primary currents, and three adjacent capacitance compensation values of the secondary capacitance and three corresponding secondary currents; a second search unit, configured to, when an extreme value point of the primary current appears within a first current interval defined by the three primary currents and an extreme value point of the secondary current appears within a second current interval defined by the three secondary currents, fine-tune the primary capacitor and the secondary capacitor respectively with a second step size until the first current extreme value point of the primary current and the second current extreme value point of the secondary current are found; The determination unit is used to obtain a first capacitance value corresponding to the first current extreme point, use the first capacitance value as a second primary capacitance compensation value, obtain a second capacitance value corresponding to the second current extreme point, and use the second capacitance value as a second secondary capacitance compensation value.

[0016] The adaptive optimization method and system of the wireless charging system described in the present invention are implemented. By connecting a capacitance compensation unit in series in the primary and secondary networks of the coupling mechanism, the capacitance can be adaptively adjusted according to instructions. By constructing an oscillation compensation model, the capacitance parameters can be compensated in a timely manner when the coupling mechanism oscillates. The oscillation compensation model is corrected by using a global correction function to avoid the model falling into the global optimum during the search for the optimal solution. By adopting the extreme value search method to obtain the second primary capacitance compensation value and the second secondary capacitance compensation value and perform secondary capacitance compensation, it helps to further suppress the frequency detuning problem caused by coupling mechanism parameter drift and coil self-inductance fluctuation, thereby improving the stability of the output power and the transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in 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 creative work.

[0018] Figure 1 Schematic diagram of the coupling mechanism model in the present invention; Figure 2 This is a schematic flow chart of a specific embodiment of a method for adaptive optimization of a wireless charging system in the present invention; Figure 3 for Figure 2 A schematic flow chart of a specific embodiment of step 200; Figure 4 for Figure 2 Another specific embodiment of step 200 is a flowchart; Figure 5 for Figure 2 A flowchart of another specific embodiment of step 200; Figure 6 for Figure 2 A schematic flow chart of a specific embodiment of step 400; Figure 7 FIG2 is a schematic diagram of a specific embodiment of an adaptive optimization system for a wireless charging system in the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0020] In the prior art, the magnetic coupling mechanism of the wireless charging system has many parameters, making it difficult to achieve global optimization. When the coupling mechanism vibrates, it causes output power fluctuations and reduced efficiency.

[0021] To address the above problems, an adaptive optimization method and system for a wireless charging system are proposed.

[0022] An adaptive optimization method for a wireless charging system, such as Figure 2 , Figure 2 This is a flowchart of a specific embodiment of an adaptive optimization method for a wireless charging system in the present invention; it includes: Step 100: Construct a coupling mechanism model of the wireless charging system. The coupling mechanism model includes a primary network and a secondary network coupled with the primary network. Obtain a capacitance compensation unit and connect the capacitance compensation unit in series to the primary network and the secondary network, respectively. Figure 1 , Figure 1 Schematic diagram of the coupling mechanism model in the present invention.

[0023] Step 200: Use the input voltage and input impedance angle of the primary network to construct a model objective function, configure the first capacitance compensation range of the primary network and the second capacitance compensation range of the secondary network, use the first capacitance compensation range and the second capacitance compensation range to construct constraints, use the model objective function and the constraints to construct an oscillation compensation model, obtain a global correction function, use the global correction function to correct the oscillation compensation model, obtain a target oscillation compensation model, and use the target oscillation compensation model to obtain a first primary capacitance compensation value and a first secondary capacitance compensation value.

[0024] In a preferred embodiment, Figure 3 , Figure 3 for Figure 2 A flowchart of a specific embodiment of step 200 is provided; step 200 includes: step 210, obtaining the expected range of the input voltage and the maximum and minimum oscillation voltages of the input voltage within the oscillation range when oscillation occurs, and obtaining the input voltage target function using the expected range of the input voltage, the maximum and minimum oscillation voltages.

[0025] In this embodiment, the expected input voltage range can be set as: When oscillation occurs, the minimum and maximum oscillation voltages are , then the input voltage objective function is: (1), Where M is the correction factor.

[0026] Step 220: Obtain the expected range of the input impedance angle, and obtain the maximum and minimum oscillation impedance angles of the input impedance angle within the oscillation range when oscillation occurs, and use the expected range of the input impedance angle, the maximum and minimum oscillation impedance angles to obtain the input impedance angle target function; Step 230: Obtain the model target function based on the input voltage target function and the input impedance angle target function.

[0027] In this embodiment, the expected range of the input impedance angle can be set as: When oscillation occurs, the minimum and maximum oscillation impedance angles are , then the input impedance angle objective function is: (2), Where M is the correction factor.

[0028] According to equations (1)-(2), the model objective function can be obtained as: (3).

[0029] In the embodiment of the present application, when there is any input voltage and input impedance angle that are not within the expected range, the function value is larger, and the objective function is to minimize the sum of the two function values, so as to ensure that the input voltage and input impedance angle are as close to the expected range as possible.

[0030] In a preferred embodiment, Figure 4 , Figure 4 for Figure 2 Another specific embodiment of step 200 is a flowchart of the steps; step 200 includes: Step 240: Obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range, calculate the first capacitance compensation maximum value and the first capacitance compensation minimum value based on the system frequency and the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network, and obtain the first capacitance compensation range based on the first capacitance compensation maximum value and the first capacitance compensation minimum value.

[0031] In this embodiment, the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network are respectively

[0032] The minimum value of the first capacitance compensation can be obtained for: (4), The first capacitor compensates for the maximum value for: (5), Therefore, the first capacitance compensation range is .

[0033] Step 250: Obtain the maximum mutual inductance and the minimum mutual inductance of the secondary network, calculate the second capacitance compensation maximum value and the second capacitance compensation minimum value based on the maximum mutual inductance and the minimum mutual inductance of the secondary network, and obtain the second capacitance compensation range based on the second capacitance compensation maximum value and the second capacitance compensation minimum value.

[0034] In this embodiment, the maximum mutual inductance and minimum mutual inductance of the secondary network are respectively

[0035] The second capacitance compensation minimum value can be obtained for: (4), The second capacitor compensates for the maximum value for: (5), Therefore, the second capacitance compensation range is .

[0036] Where w is the system frequency.

[0037] In a preferred embodiment, Figure 5 , Figure 5 for Figure 2 A flowchart of another specific embodiment of step 200 is shown; step 200 includes: Step 260 , obtaining a speed iteration function of the oscillation compensation model, obtaining a global factor and a local optimal solution; Step 270 , constructing a global correction function according to the speed iteration function, the global factor and the local optimal solution.

[0038] In this embodiment, an ant colony algorithm may be used, and its speed update formula is: (6), The position update formula is: (7), in, is the correction function: (8), in, is the inertia parameter, is the local acceleration coefficient, is the global acceleration coefficient, is the global factor, is an independent random number in [0,1], is the velocity of the particle in the kth iteration, is the position of the particle in the kth iteration, is the optimal position of the particle in k iterations, is the global optimal position of the group after k iterations, is a local optimal solution.

[0039] The local optimal solution can be calculated using formula (10): (10) Formula (10) satisfies: (11) It represents the fitness of particles within the range with the Ith particle as the core and R as the radius.

[0040] Step 300 : Compensate the primary capacitance and the secondary capacitance respectively according to the first primary capacitance compensation value and the first secondary capacitance compensation value, and calculate a first transmission efficiency value of the wireless charging system.

[0041] Step 400: Construct a first function model of the primary network current and the compensation capacitor and a second function model of the secondary network current and the compensation capacitor. If the first transmission efficiency value is less than a specified threshold, use the extreme value method to search for a second primary capacitor compensation value that minimizes the primary network current from the first function model, and search for a second secondary capacitor compensation value that maximizes the secondary network current from the second function model.

[0042] In a preferred embodiment, Figure 6 , Figure 6 for Figure 2 A schematic flow chart of a specific embodiment of step 400 is shown in FIG. 4 ; step 400 includes: Step 410: Use the capacitance compensation unit to perform coarse adjustment on the primary capacitance and the secondary capacitance with the first step length, and obtain three adjacent capacitance compensation values of the primary capacitance and the corresponding three primary currents, and three adjacent capacitance compensation values of the secondary capacitance and the corresponding three secondary currents respectively; Step 420: If the extreme point of the primary current appears in the first current interval defined by the three primary currents, and the extreme point of the secondary current appears in the second current interval defined by the three secondary currents, then fine-tune the primary capacitance and the secondary capacitance respectively with the second step length until the first current extreme point of the primary current and the second current extreme point of the secondary current are searched; Step 430: Obtain the first capacitance value corresponding to the first current extreme point, use the first capacitance value as the second primary capacitance compensation value, obtain the second capacitance value corresponding to the second current extreme point, and use the second capacitance value as the second secondary capacitance compensation value.

[0043] In this embodiment, when the primary network is in a resonant state, the system input impedance model Reaching the maximum, at this time, the effective value of the input current of the primary network To achieve the minimum, if the secondary network is to be resonantly tuned, the equivalent impedance model of the secondary network Reaching the minimum, at this time, the equivalent current effective value of the secondary network Therefore, this embodiment meets the minimum primary current by secondary compensation of the primary capacitor and the secondary capacitor. and the maximum secondary current max The resonance characteristic conditions.

[0044] In this embodiment, the minimum primary current is searched by the extreme value method. and the maximum secondary current max .

[0045] Taking the original edge network as an example, let the first step length of coarse adjustment be , if the compensation values of the three adjacent capacitors of the primary capacitor are ,and , The corresponding three secondary current effective values are , the primary current as a function of the compensation capacitance has only one extreme point, when the extreme point appears interval, then take the second step length Fine-tune and finally determine the first capacitance value corresponding to the extreme point current, and use it as the second primary capacitance compensation value.

[0046] Step 500 : Perform secondary compensation on the primary capacitance and the secondary capacitance respectively according to the second primary capacitance compensation value and the second secondary capacitance compensation value.

[0047] In an embodiment of the present application, by connecting a capacitance compensation unit in series in the primary network and the secondary network of the coupling mechanism, the capacitance can be adaptively adjusted according to instructions. By constructing an oscillation compensation model, the capacitance parameters can be compensated in time when the coupling mechanism oscillates. By using a global correction function to correct the oscillation compensation model, the model can be prevented from falling into the global optimum in the process of finding the optimal solution. By adopting the extreme value search method to obtain the second primary capacitance compensation value, the second secondary capacitance compensation value and perform secondary capacitance compensation, it helps to further suppress the frequency detuning problem caused by the coupling mechanism parameter drift and the coil self-inductance fluctuation, and improve the output power stability and transmission efficiency.

[0048] In a second aspect, an adaptive optimization system for a wireless charging system adopts the adaptive optimization method for a wireless charging system according to the first aspect, such as Figure 7 , Figure 7 This is a schematic diagram of a specific embodiment of an adaptive optimization system for a wireless charging system in the present invention. It includes: The first construction module 601 is used to construct a coupling mechanism model of the wireless charging system, where the coupling mechanism model includes a primary network and a secondary network coupled to the primary network, obtain a capacitance compensation unit, and connect the capacitance compensation unit in series to the primary network and the secondary network, respectively.

[0049] The second construction module 602 is used to construct a model objective function using the input voltage and input impedance angle of the primary network, configure the first capacitor compensation range of the primary network and the second capacitor compensation range of the secondary network, use the first capacitor compensation range and the second capacitor compensation range to construct constraints, use the model objective function and constraints to construct an oscillation compensation model, and obtain a global correction function.

[0050] The correction module 603 is configured to correct the oscillation compensation model using a global correction function to obtain a target oscillation compensation model, and obtain a first primary capacitance compensation value and a first secondary capacitance compensation value using the target oscillation compensation model.

[0051] a primary compensation module 604 for performing primary compensation on the primary capacitance and the secondary capacitance according to the first primary capacitance compensation value and the first secondary capacitance compensation value, respectively, and calculating a first transmission efficiency value of the wireless charging system; The extreme value search module 605 is used to construct a first function model of the primary network current and the compensation capacitor and a second function model of the secondary network current and the compensation capacitor. If the first transmission efficiency value is less than the specified threshold, the extreme value method is used to search from the first function model for a second primary capacitor compensation value that minimizes the primary network current, and to search from the second function model for a second secondary capacitor compensation value that maximizes the secondary network current.

[0052] The secondary compensation module 606 is configured to perform secondary compensation on the primary capacitance and the secondary capacitance according to the second primary capacitance compensation value and the second secondary capacitance compensation value, respectively.

[0053] Furthermore, the second building block 602 includes: The first calculation unit is used to obtain an expected range of the input voltage and a maximum value and a minimum value of the oscillation voltage within the oscillation range when the input voltage oscillates, and calculate an input voltage target function using the expected range of the input voltage, the maximum value and the minimum value of the oscillation voltage; The second calculation unit is used to obtain an expected range of the input impedance angle, and obtain a maximum oscillation impedance angle and a minimum oscillation impedance angle of the input impedance angle within the oscillation range when oscillation occurs, and obtain an input impedance angle target function using the expected range of the input impedance angle, the maximum oscillation impedance angle and the minimum oscillation impedance angle; The first construction unit is used to construct and obtain a model objective function according to an input voltage objective function and an input impedance angle objective function.

[0054] Furthermore, the second building block 602 further includes: a third calculation unit, configured to obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range, calculate a first capacitance compensation maximum value and a first capacitance compensation minimum value based on the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network, and obtain a first capacitance compensation range based on the first capacitance compensation maximum value and the first capacitance compensation minimum value; The fourth calculation unit is used to obtain the maximum mutual inductance and minimum mutual inductance of the secondary side network, calculate the second capacitance compensation maximum value and the second capacitance compensation minimum value based on the maximum mutual inductance and the minimum mutual inductance of the secondary side network, and obtain the second capacitance compensation range based on the second capacitance compensation maximum value and the second capacitance compensation minimum value.

[0055] Furthermore, the second building block 602 further includes: The second construction unit is used to obtain the speed iteration function of the oscillation compensation model, obtain the global factor and the local optimal solution, and construct the global correction function according to the speed iteration function, the global factor and the local optimal solution.

[0056] Furthermore, the extreme value search module 605 includes: a first search unit, configured to use the capacitance compensation unit to perform a coarse adjustment on the primary capacitance and the secondary capacitance with a first step length, and obtain three adjacent capacitance compensation values of the primary capacitance and three corresponding primary currents, and three adjacent capacitance compensation values of the secondary capacitance and three corresponding secondary currents; a second search unit, configured to, when an extreme value point of the primary current appears within a first current interval defined by the three primary currents and an extreme value point of the secondary current appears within a second current interval defined by the three secondary currents, fine-tune the primary capacitor and the secondary capacitor respectively with a second step size until the first current extreme value point of the primary current and the second current extreme value point of the secondary current are found; The determination unit is used to obtain a first capacitance value corresponding to a first current extreme value point, use the first capacitance value as a second primary capacitance compensation value, obtain a second capacitance value corresponding to a second current extreme value point, and use the second capacitance value as a second secondary capacitance compensation value.

[0057] The adaptive optimization method and system of the wireless charging system of the present invention are implemented. By connecting a capacitance compensation unit in series in the primary and secondary networks of the coupling mechanism, the capacitance can be adaptively adjusted according to instructions. By constructing an oscillation compensation model, the capacitance parameters can be compensated in time when the coupling mechanism oscillates. The oscillation compensation model is corrected by using a global correction function to avoid the model falling into the global optimum during the search for the optimal solution. By adopting the extreme value search method to obtain the second primary capacitance compensation value and the second secondary capacitance compensation value and perform secondary capacitance compensation, it helps to further suppress the frequency detuning problem caused by coupling mechanism parameter drift and coil self-inductance fluctuation, thereby improving the stability of the output power and the transmission efficiency.

[0058] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An adaptive optimization method for a wireless charging system, characterized in that: include: Step 100: Construct a coupling mechanism model of the wireless charging system, the coupling mechanism model including a primary network and a secondary network coupled to the primary network, obtain a capacitance compensation unit, and connect the capacitance compensation unit in series to the primary network and the secondary network respectively; Step 200: Build a model objective function using the input voltage and input impedance angle of the primary network, configure a first capacitance compensation range of the primary network and a second capacitance compensation range of the secondary network, build constraints using the first capacitance compensation range and the second capacitance compensation range, build an oscillation compensation model using the model objective function and the constraints, obtain a global correction function, correct the oscillation compensation model using the global correction function to obtain a target oscillation compensation model, and use the target oscillation compensation model to obtain a first primary capacitance compensation value and a first secondary capacitance compensation value; Step 300: Compensate the primary capacitance and the secondary capacitance respectively according to the first primary capacitance compensation value and the first secondary capacitance compensation value, and calculate a first transmission efficiency value of the wireless charging system; Step 400: Construct a first function model of the primary network current and the compensation capacitor, and a second function model of the secondary network current and the compensation capacitor. If the first transmission efficiency value is less than a specified threshold, use an extreme value method to search for a second primary capacitor compensation value that minimizes the primary network current from the first function model, and search for a second secondary capacitor compensation value that maximizes the secondary network current from the second function model. Step 500 : Perform secondary compensation on the primary capacitance and the secondary capacitance respectively according to the second primary capacitance compensation value and the second secondary capacitance compensation value.

2. The adaptive optimization method for a wireless charging system according to claim 1, wherein: The step 200 includes: Step 210: Obtain an expected input voltage range and a maximum oscillation voltage and a minimum oscillation voltage of the input voltage within the oscillation range when oscillation occurs, and obtain an input voltage target function using the expected input voltage range, the maximum oscillation voltage, and the minimum oscillation voltage. Step 220: Obtain an expected range of the input impedance angle, and obtain a maximum value and a minimum value of the input impedance angle within the oscillation range when oscillation occurs, and obtain an input impedance angle target function using the expected range of the input impedance angle, the maximum value and the minimum value of the oscillation impedance angle; Step 230: Acquire the model objective function according to the input voltage objective function and the input impedance angle objective function.

3. The adaptive optimization method for a wireless charging system according to claim 1, wherein: The step 200 includes: Step 240: Obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range; calculate a first capacitance compensation maximum value and a first capacitance compensation minimum value based on the system frequency and the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network; and calculate the first capacitance compensation range based on the first capacitance compensation maximum value and the first capacitance compensation minimum value. Step 250: Obtain the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary network, calculate the second capacitor compensation maximum value and the second capacitor compensation minimum value based on the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary network, and calculate the second capacitor compensation range based on the second capacitor compensation maximum value and the second capacitor compensation minimum value.

4. The adaptive optimization method for a wireless charging system according to claim 1, wherein: The step 200 includes: Step 260: Obtain the speed iteration function of the oscillation compensation model to obtain the global factor and the local optimal solution; Step 270: Construct the global correction function according to the speed iteration function, the global factor and the local optimal solution.

5. The adaptive optimization method for a wireless charging system according to claim 1, wherein: The step 400 includes: Step 410: Use the capacitance compensation unit to perform coarse adjustment on the primary capacitance and the secondary capacitance with the first step length, and obtain three adjacent capacitance compensation values of the primary capacitance and three corresponding primary currents, and three adjacent capacitance compensation values of the secondary capacitance and three corresponding secondary currents, respectively. Step 420: If the extreme value of the primary current appears within the first current interval defined by the three primary currents, and the extreme value of the secondary current appears within the second current interval defined by the three secondary currents, fine-tune the primary and secondary capacitors respectively with a second step size until the first and second extreme values of the primary and secondary currents are found. Step 430: Obtain a first capacitance value corresponding to the first current extreme point, use the first capacitance value as a second primary capacitance compensation value, obtain a second capacitance value corresponding to the second current extreme point, and use the second capacitance value as a second secondary capacitance compensation value.

6. An adaptive optimization system for a wireless charging system, employing the adaptive optimization method for a wireless charging system according to any one of claims 1 to 5, characterized in that: include: A first building module is configured to build a coupling mechanism model of the wireless charging system, the coupling mechanism model including a primary network and a secondary network coupled to the primary network, obtain a capacitance compensation unit, and connect the capacitance compensation unit in series to the primary network and the secondary network respectively; A second construction module is used to construct a model objective function using the input voltage and input impedance angle of the primary network, configure a first capacitance compensation range of the primary network and a second capacitance compensation range of the secondary network, construct constraint conditions using the first capacitance compensation range and the second capacitance compensation range, construct an oscillation compensation model using the model objective function and the constraint conditions, and obtain a global correction function; a correction module, configured to correct the oscillation compensation model using the global correction function to obtain a target oscillation compensation model, and obtain a first primary capacitance compensation value and a first secondary capacitance compensation value using the target oscillation compensation model; a primary compensation module, configured to perform primary compensation on the primary capacitance and the secondary capacitance respectively according to the first primary capacitance compensation value and the first secondary capacitance compensation value, and calculate a first transmission efficiency value of the wireless charging system; an extreme value search module, configured to construct a first function model of the primary network current and the compensation capacitor and a second function model of the secondary network current and the compensation capacitor, and, if the first transmission efficiency value is less than a specified threshold, use an extreme value method to search from the first function model for a second primary capacitor compensation value that minimizes the primary network current, and to search from the second function model for a second secondary capacitor compensation value that maximizes the secondary network current; The secondary compensation module is used to perform secondary compensation on the primary capacitance and the secondary capacitance according to the second primary capacitance compensation value and the second secondary capacitance compensation value respectively.

7. The adaptive optimization system for a wireless charging system according to claim 6, wherein: The second building block includes: a first calculation unit, configured to obtain an expected range of the input voltage and a maximum oscillation voltage and a minimum oscillation voltage of the input voltage within the oscillation range when oscillation occurs, and calculate an input voltage target function using the expected range of the input voltage, the maximum oscillation voltage and the minimum oscillation voltage; A second calculation unit is used to obtain an expected range of the input impedance angle, and obtain a maximum oscillation impedance angle and a minimum oscillation impedance angle of the input impedance angle within the oscillation range when oscillation occurs, and obtain an input impedance angle target function using the expected range of the input impedance angle, the maximum oscillation impedance angle, and the minimum oscillation impedance angle; The first construction unit is used to construct and obtain the model objective function according to the input voltage objective function and the input impedance angle objective function.

8. The adaptive optimization system for a wireless charging system according to claim 6, wherein: The second building block further includes: a third calculation unit, configured to obtain the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network within the system frequency and the oscillation range, calculate a first capacitance compensation maximum value and a first capacitance compensation minimum value according to the system frequency and the maximum self-inductance, minimum self-inductance, maximum mutual inductance, and minimum mutual inductance of the primary network, and obtain the first capacitance compensation range according to the first capacitance compensation maximum value and the first capacitance compensation minimum value; The fourth calculation unit is used to obtain the maximum mutual inductance and minimum mutual inductance of the system frequency and the secondary side network, calculate the second capacitor compensation maximum value and the second capacitor compensation minimum value based on the system frequency and the maximum mutual inductance and the minimum mutual inductance of the secondary side network, and calculate the second capacitor compensation range based on the second capacitor compensation maximum value and the second capacitor compensation minimum value.

9. The adaptive optimization system for a wireless charging system according to claim 6, wherein: The second building block further includes: The second construction unit is used to obtain the speed iteration function of the oscillation compensation model, obtain the global factor and the local optimal solution, and construct the global correction function according to the speed iteration function, the global factor and the local optimal solution.

10. The adaptive optimization system for wireless charging system according to claim 6, characterized in that: The extreme value search module includes: a first search unit, configured to use the capacitance compensation unit to perform a coarse adjustment on the primary capacitance and the secondary capacitance with a first step length, and respectively obtain three adjacent capacitance compensation values of the primary capacitance and three corresponding primary currents, and three adjacent capacitance compensation values of the secondary capacitance and three corresponding secondary currents; a second search unit, configured to, when an extreme value point of the primary current appears within a first current interval defined by the three primary currents and an extreme value point of the secondary current appears within a second current interval defined by the three secondary currents, fine-tune the primary capacitor and the secondary capacitor respectively with a second step size until the first current extreme value point of the primary current and the second current extreme value point of the secondary current are found; The determination unit is used to obtain a first capacitance value corresponding to the first current extreme point, use the first capacitance value as a second primary capacitance compensation value, obtain a second capacitance value corresponding to the second current extreme point, and use the second capacitance value as a second secondary capacitance compensation value.

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