Method and apparatus for controlling wireless electrical energy transmission system, and computer device
By obtaining the trained value table and determining the real-time primary resonant capacitance, the control of the wireless power transfer system is optimized, which solves the complexity and inefficiency problems of traditional methods and achieves more efficient power transmission and convenient control.
Patent Information
- Application Number
- PCT/CN2024/126695
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-02
- Filing Date
- 2024-10-23
- Publication Date
- 2025-10-09
AI Technical Summary
The control methods of traditional wireless power transmission systems are complex, resulting in low control convenience, especially when the load resistance changes, the power transmission efficiency is reduced.
By determining the real-time load resistance of the wireless power transmission system, obtaining the trained value table, determining the real-time primary resonant capacitance based on the real-time load resistance and sample value, and controlling the system based on the real-time primary resonant capacitance, the greedy strategy and learning rate are used to update the reward value to optimize the control process.
The control process of the wireless power transmission system is simplified, the transmission efficiency and power output of the system are improved, and the convenience of control is enhanced.
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Figure CN2024126695_09102025_PF_FP_ABST
Abstract
Description
Wireless power transmission system control method, device and computer equipment Technical Field
[0001] The present application relates to the field of electric power transmission technology, and in particular to a method, device and computer equipment for controlling a wireless power transmission system. Background Art
[0002] With the development of wireless charging technology, wireless power transmission systems have been widely used in the medical, smart home, and transportation fields. However, during the power transmission process, wireless power transmission systems are inevitably affected by external factors. For example, real-time changes in load resistance can reduce the power transmission efficiency of wireless power transmission systems.
[0003] In traditional technology, wireless power transmission systems are controlled through multi-objective genetic algorithms, but multi-objective genetic algorithms are relatively complex, resulting in inconvenient control.
[0004] Therefore, there is a problem in traditional technologies that the wireless power transmission system is not easy to control.
[0005] Summary of the Invention
[0006] Based on this, it is necessary to provide a wireless power transmission system control method, device and computer equipment that can improve control convenience in response to the above technical problems.
[0007] In a first aspect, the present application provides a wireless power transmission system control method, comprising:
[0008] Determine a real-time load resistance of the wireless power transmission system and obtain a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0009] determining, in the trained value table, a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value;
[0010] The wireless power transfer system is controlled based on the real-time primary resonant capacitance.
[0011] In one embodiment, the training process of the value table includes:
[0012] Obtaining an initial value table; wherein the initial value table includes the sample load resistance, the sample primary resonant capacitance, and a reward value corresponding to each sample load resistance and each sample primary resonant capacitance;
[0013] Traversing the sample load resistance, determining the current primary resonant capacitance based on the current traversed load resistance, and updating the reward values corresponding to the current load resistance and the current primary resonant capacitance to obtain an updated value;
[0014] Based on the updated value, the initial value table is iterated until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0015] In one embodiment, obtaining the initial value table includes:
[0016] Based on the sample load resistance and the sample primary resonant capacitance, the wireless power transmission system is controlled to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0017] determining a transmission efficiency of the wireless power transmission system based on the load power and the output power;
[0018] determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and a reward function;
[0019] An initial value table is obtained based on the reward value, the sample load resistance, and the sample primary resonant capacitance.
[0020] In one embodiment, obtaining the load power of the system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance includes:
[0021] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0022] The load power is obtained by multiplying the load instantaneous voltage by the load instantaneous current.
[0023] In one embodiment, determining the reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function includes:
[0024] When the load power is greater than a preset power value and the transmission efficiency is greater than a preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
[0025] In one embodiment, determining the current primary resonant capacitance includes:
[0026] Obtaining a candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0027] The current primary resonant capacitor is determined based on a greedy strategy and corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
[0028] In one embodiment, updating the reward value corresponding to the current load resistance and the current primary resonant capacitance includes:
[0029] The reward value corresponding to the current load resistance and the current primary resonant capacitance is updated using the update formula. The update formula is:
[0030] Q t ′(R t ,A t )=Q t (R t ,A t )+α*(r t +β*maxQ t+1 -Q t (R t ,A t )),
[0031] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t ,A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t ,A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
[0032] In a second aspect, the present application further provides a wireless power transmission system control device, comprising:
[0033] a value table acquisition module, configured to determine a real-time load resistance of the wireless power transmission system and acquire a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0034] a capacitance determination module, configured to determine a real-time primary resonant capacitance of the wireless power transmission system based on the real-time load resistance and the sample value in a trained value table;
[0035] A control module is configured to control the wireless power transmission system based on the real-time primary resonant capacitance.
[0036] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.
[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.
[0038] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program that implements the steps of any of the above methods when executed by a processor.
[0039] The above-mentioned wireless power transmission system control method, apparatus, and computer device obtain a trained value table including sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance. In the trained value table, the real-time primary resonant capacitance of the wireless power transmission system is determined based on the real-time load resistance and sample values of the wireless power transmission system, and the wireless power transmission system is controlled based on the real-time primary resonant capacitance. Compared to conventional technologies that suffer from the problem of low control convenience of wireless power transmission systems, the present application can directly obtain the real-time primary resonant capacitance for controlling the wireless power transmission system based on the real-time load resistance and trained value table of the wireless power transmission system, thereby improving the convenience of controlling the wireless power transmission system. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0041] FIG1 is a schematic structural diagram of a wireless power transmission system provided in one embodiment;
[0042] FIG2 is a schematic diagram of an equivalent circuit provided in one embodiment;
[0043] FIG3 is a flow chart of a method for controlling a wireless power transmission system according to an embodiment of the present application;
[0044] FIG4 is a flow chart of a value table training process in one embodiment;
[0045] FIG5 is a schematic diagram of a process for obtaining an initial value table in one embodiment;
[0046] FIG6 is a structural block diagram of a wireless power transmission system control device provided in an embodiment of the present application;
[0047] FIG7 is a diagram showing the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0048] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.
[0049] The wireless power transmission system control method provided in the embodiment of the present application is a method for controlling a wireless power transmission system. Based on this, a structural diagram of a wireless power transmission system is provided, as shown in Figure 1. The wireless power transmission system in Figure 1 includes 1-DC power supply module, 2-high frequency full-bridge inverter module, 3-transmitter module, 4-receiver module, 5-rectifier filter module and 6-system load module. Among them, V dc is a DC power supply, S1, S2, S3 and S4 are field effect tubes (MOSFETs), Cp is the primary resonant capacitor, C11, C21 and C31 are compensation capacitors, S12, S22 and S32 are compensation capacitor switches, Lp is the primary resonant inductor, Ls is the secondary resonant inductor, Cs is the secondary resonant capacitor, D1, D2, D3 and D4 are diodes, C is a capacitor, S5, S6 and S7 are switches, R L It should be understood that the structure of the wireless power transmission system shown in FIG1 does not constitute a limitation on the structure of the wireless power transmission system.
[0050] For the wireless power transmission system shown in Figure 1, in order to facilitate simulation calculations, an equivalent circuit of the wireless power transmission system is provided, and a schematic diagram of the equivalent circuit is shown in Figure 2. In Figure 2, Up is the high-frequency square wave voltage source from the previous inverter circuit, Cp is the primary resonant capacitor, Rp is the primary inductor equivalent series resistance, Lp is the primary resonant inductor, Ls is the secondary resonant inductor, Cs is the secondary resonant capacitor, RL is the equivalent load, Zr is the reflected impedance of the secondary circuit to the primary circuit, jωMIp is the imaginary part of the equivalent impedance at the input end of the primary resonant network, ω is the system operating angular frequency, M is the mutual inductance between the primary resonant inductor and the secondary resonant inductor, and Ip is the primary resonant current.
[0051] When the imaginary part of the equivalent impedance at the input of the primary resonant network is zero, that is,
[0052] hour,
[0053] At this point, the closer the system operating angular frequency is to the secondary natural resonant frequency, the greater the system transmission efficiency. Therefore, the system operating angular frequency is typically designed to be near the secondary natural resonant frequency. However, variations in load resistance can cause these two frequencies to deviate, necessitating a frequency stabilization control strategy to keep the system operating angular frequency stable near the secondary natural resonant frequency. The wireless power transmission system control method provided in this embodiment implements a frequency stabilization control strategy.
[0054] In this embodiment, a wireless power transmission system control method is provided. This embodiment illustrates the method by applying it to a computer device. It is understandable that the method can also be applied to a server, and can also be applied to a system including a computer device and a server, and is implemented through the interaction between the computer device and the server.
[0055] FIG3 is a flow chart of a method for controlling a wireless power transmission system according to an embodiment of the present application. The method is applied to a computer device. In one embodiment, as shown in FIG3 , the method includes the following steps:
[0056] S301, determining the real-time load resistance of the wireless power transmission system and obtaining a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitors, and sample values corresponding to each sample load resistance and each sample primary resonant capacitor.
[0057] The sample load resistance and sample primary resonant capacitance are manually set. It should be understood that the sample load resistance and sample primary resonant capacitance each include multiple values. The magnitude of the sample value is used to reflect the transmission efficiency of the wireless power transmission system.
[0058] The sample load resistor corresponds to the system load module of the wireless power transmission system. During the specific experiment, the value of the sample load resistor can be controlled by turning on and off the switch tube; the sample primary resonant capacitor corresponds to the transmitting module of the wireless power transmission system. During the specific experiment, the value of the sample primary resonant capacitor can be controlled by turning on and off the compensation capacitor switch tube.
[0059] For example, the value table after training is shown in Table 1 below:
[0060] Where R1 and R2 are sample load resistors, A1, A2, and A3 are sample primary resonant capacitors, and Q1, Q2, Q3, Q4, Q5, and Q6 are sample values.
[0061] S302 : Determine the real-time primary resonant capacitance of the wireless power transmission system based on the real-time load resistance and the sample value in the trained value table.
[0062] In some embodiments, determining a real-time primary resonant capacitance of a wireless power transfer system based on a real-time load resistance and a sample value includes:
[0063] The sample primary resonant capacitor with the largest sample value corresponding to the real-time load resistance is determined as the real-time primary resonant capacitor of the wireless power transmission system.
[0064] S303 , controlling the wireless power transmission system based on the real-time primary resonant capacitance.
[0065] The wireless power transmission system control method provided in this embodiment obtains a trained value table including sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance. The trained value table determines the real-time primary resonant capacitance of the wireless power transmission system based on the real-time load resistance and sample values of the wireless power transmission system, and controls the wireless power transmission system based on the real-time primary resonant capacitance. Compared to conventional technologies that suffer from the problem of limited control convenience of wireless power transmission systems, this embodiment directly determines the real-time primary resonant capacitance used to control the wireless power transmission system based on the real-time load resistance of the wireless power transmission system and the trained value table, thereby improving the convenience of controlling the wireless power transmission system.
[0066] In one embodiment, a flow chart of the value table training process, as shown in FIG4 , includes the following contents:
[0067] S401 , obtaining an initial value table; wherein the initial value table includes sample load resistances, sample primary resonant capacitors, and reward values corresponding to each sample load resistance and each sample primary resonant capacitor.
[0068] For example, the sample load resistance has a value range of 0 ohms to 100 ohms, and 100 values are taken within this value range; the sample primary resonant capacitance has a value range of 440 nanofarads to 460 nanofarads, and 21 values are taken within this value range; the initial value table is shown in Table 2 below. Table 2:
[0069] Where R1, R2, and R100 are sample load resistors, A1, A2, and A21 are sample primary resonant capacitors, and R11, R12, R121, R21, R22, R221, R1001, R1002, and R10021 are reward values.
[0070] S402 , traverse the sample load resistances, determine the current primary resonant capacitance based on the current traversed load resistance, and update the reward values corresponding to the current load resistance and the current primary resonant capacitance to obtain an updated value.
[0071] S403, based on the updated value, iterate the initial value table until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0072] Among them, the preset number of iterations and the preset threshold can be set manually.
[0073] In this embodiment, the initial value table is iterated to obtain a trained value table, which can ensure the accuracy of the sample values in the trained value table and help improve the transmission efficiency of the wireless power transmission system.
[0074] In one embodiment, a flowchart of obtaining the initial value table is shown in FIG5 , and includes the following contents:
[0075] S501: Control the wireless power transmission system based on the sample load resistance and the sample primary resonant capacitance to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance.
[0076] S502: Determine the transmission efficiency of the wireless power transmission system based on the load power and the output power.
[0077] In some embodiments, determining the transmission efficiency of the wireless power transmission system based on the load power and the output power includes:
[0078] The transmission efficiency of the wireless power transmission system is obtained by dividing the load power by the output power.
[0079] S503 : Determine a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function.
[0080] The reward function is such that if the load power is greater than a preset power value and the transmission efficiency is greater than a preset efficiency value, a positive reward of a preset positive reward value is obtained, and otherwise a negative reward of a preset negative reward value is obtained. For example, the preset positive reward value is 1, and the preset negative reward value is -1.
[0081] S504 , obtaining an initial value table based on the reward value, the sample load resistance, and the sample primary resonant capacitance.
[0082] In this embodiment, a control experiment is conducted on the wireless power transmission system based on the sample load resistance and the sample primary resonant capacitance, and a reward value is obtained according to the experimental results. The initial value table finally obtained based on the reward value, the sample load resistance and the sample primary resonant capacitance has a high accuracy.
[0083] In one embodiment, obtaining the load power of the system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance includes:
[0084] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0085] Multiply the load instantaneous voltage by the load instantaneous current to obtain the load power.
[0086] In some embodiments, obtaining the output power of a high-frequency full-bridge inverter module in a wireless power transmission system under each sample load resistance and each sample primary resonant capacitance includes:
[0087] Obtaining an inverter instantaneous voltage and an inverter instantaneous current of a high-frequency full-bridge inverter module in a wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0088] Multiply the inverter instantaneous voltage by the inverter instantaneous current to obtain the output power.
[0089] In this embodiment, the method for obtaining the load power and the output power is clarified, the convenience of obtaining the power is improved, and the accuracy of the obtained power is guaranteed.
[0090] In one embodiment, determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function includes:
[0091] When the load power is greater than the preset power value and the transmission efficiency is greater than the preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
[0092] The preset power value and the preset efficiency value can be set manually. For example, the preset power value is 80 watts and the preset efficiency value is 0.85.
[0093] In this embodiment, clarifying the reward function can improve the consistency and accuracy of the determined reward value.
[0094] In one embodiment, determining the current primary resonant capacitance includes:
[0095] Obtain the candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0096] The current primary resonant capacitor is determined based on the greedy strategy and the corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
[0097] Among them, the primary resonant capacitor to be selected can be the sample primary resonant capacitor with the largest value corresponding to the current load resistance in the initial value table, or it can be the values corresponding to the current load resistance in the initial value table sorted from large to small, and the corresponding sample primary resonant capacitors with a preset number of values arranged in front are selected as the primary resonant capacitor to be selected.
[0098] In some embodiments, the exploration probability in the greedy strategy can be set to a preset probability value. The preset probability value can be manually set. For example, the preset probability value is 0.1. It is worth noting that the exploration probability in the epsilon-greedy strategy is used to balance exploration and exploitation: a higher value means more exploration, and a lower value means more exploitation.
[0099] In this embodiment, the current primary resonant capacitance is determined based on a greedy strategy, which can help improve the comprehensiveness of subsequent updates to corresponding values.
[0100] In one embodiment, updating the reward value corresponding to the current load resistance and the current primary resonant capacitance includes:
[0101] Use the update formula to update the reward value corresponding to the current load resistance and the current primary resonant capacitance. The update formula is:
[0102] Q t ′(R t ,A t )=Q t (R t ,A t )+α*(r t +β*maxQ t+1 -Qt (R t ,A t )),
[0103] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t ,A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t ,A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance. Specifically, the learning rate and discount factor can be set manually. For example, the learning rate is 0.1 and the discount factor is 0.9.
[0104] It is worth noting that the learning rate (alpha) is used to control the speed of value update. A smaller value can make learning smoother, while a larger value can make learning faster. The discount factor (gamma) is used to control the importance of long-term returns, that is, the degree of consideration for future rewards. If the value is too small, the system will pay more attention to short-term rewards and ignore long-term benefits.
[0105] In this embodiment, a method for updating the reward value corresponding to the current load resistance and the current primary resonant capacitor is provided, the updating method is clarified, the updating efficiency is improved, and the accuracy of the value table after training is ensured.
[0106] Here, the wireless power transmission system control method provided by the present application is described in detail by way of a specific embodiment. The implementation process of the wireless power transmission system control method includes:
[0107] First, obtain the value table after training;
[0108] controlling a wireless power transfer system based on a sample load resistance and a sample primary resonant capacitance;
[0109] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance, and multiplying the load instantaneous voltage by the load instantaneous current to obtain load power; obtaining an inverter instantaneous voltage and an inverter instantaneous current of a high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance, and multiplying the inverter instantaneous voltage by the inverter instantaneous current to obtain output power;
[0110] Dividing the load power by the output power gives the transmission efficiency of the wireless power transmission system;
[0111] When the load power is greater than the preset power value and the transmission efficiency is greater than the preset efficiency value, a preset positive reward value is obtained and the preset positive reward value is used as the corresponding reward value; otherwise, a preset negative reward value is obtained as the corresponding reward value;
[0112] obtaining an initial value table based on the reward value, the sample load resistance, and the sample primary resonant capacitance;
[0113] Traversing the sample load resistances in the initial value table, obtaining a candidate primary resonant capacitor corresponding to the current load resistance in the initial value table based on the currently traversed current load resistance, and determining the current primary resonant capacitor based on a greedy strategy and the corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table;
[0114] Use the update formula to update the reward value corresponding to the current load resistance and the current primary resonant capacitance. The update formula is:
[0115] Q t ′(R t ,A t )=Q t (R t ,A t )+α*(r t +β*maxQ t+1 -Q t (R t ,A t )),
[0116] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, α is 0.1, β is the discount factor, β is 0.9, Q t ′(R t ,A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t ,A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value or maximum value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance;
[0117] Obtain an updated value, and iterate the initial value table based on the updated value until a preset number of iterations is reached or the similarity of the value table after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table; wherein the trained value table includes sample load resistance, sample primary resonant capacitance, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance.
[0118] Then, the real-time load resistance of the wireless power transmission system is determined, and the real-time primary resonant capacitance of the wireless power transmission system is determined based on the real-time load resistance and the sample value in the trained value table. The wireless power transmission system is controlled based on the real-time primary resonant capacitance.
[0119] Experiments have found that when the load resistance in the wireless power transmission system is 15 ohms, the traditional technology is used to control the wireless power transmission system, and the load power obtained is 140 W, and the transmission efficiency is 92%. When the wireless power transmission system control method provided in this application is used, the load power is 194 W, and the transmission efficiency is 92.8%. In comparison, the power is increased by 54 W and the efficiency is increased by 0.8%. When the load resistance in the wireless power transmission system is 26 ohms, the traditional technology is used to control the wireless power transmission system, and the load power obtained is 105.5 W, and the transmission efficiency is 92.1%. When the wireless power transmission system control method provided in this application is used, the load power is 139 W, and the system transmission efficiency is 92.8%. In comparison, the power is increased by 33.5 W and the efficiency is increased by 0.7%.
[0120] The wireless power transmission system control method provided in the present application not only simplifies the control process of the wireless power transmission system, but also improves the transmission efficiency of the wireless power transmission system.
[0121] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.
[0122] Based on the same inventive concept, the present application also provides a wireless power transmission system control device for implementing the wireless power transmission system control method mentioned above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the wireless power transmission system control device provided below can be found in the above-mentioned limitations on the wireless power transmission system control method and will not be repeated here.
[0123] Referring to FIG. 6 , FIG. 6 is a structural block diagram of a wireless power transmission system control device provided in an embodiment of the present application. The device 600 includes: a value table acquisition module 601, a capacitance determination module 602, and a control module 603, wherein:
[0124] A value table acquisition module 601 is configured to determine the real-time load resistance of the wireless power transmission system and acquire a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0125] a capacitance determination module 602 for determining a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value in the trained value table;
[0126] The control module 603 is configured to control the wireless power transmission system based on the real-time primary resonant capacitance.
[0127] The wireless power transmission system control device provided in this embodiment uses a value table acquisition module to obtain a trained value table including sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance. A capacitance determination module determines the real-time primary resonant capacitance of the wireless power transmission system based on the real-time load resistance and sample values in the trained value table. The control module then controls the wireless power transmission system based on the real-time primary resonant capacitance. Compared to conventional technologies that suffer from the problem of limited control convenience for wireless power transmission systems, this embodiment directly obtains the real-time primary resonant capacitance for controlling the wireless power transmission system based on the real-time load resistance and the trained value table, thereby improving the convenience of controlling the wireless power transmission system.
[0128] Optionally, the device 600 further includes:
[0129] An initial value table acquisition module is used to acquire an initial value table; wherein the initial value table includes sample load resistance, sample primary resonant capacitance, and reward values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0130] A traversal module is used to traverse the sample load resistance, determine the current primary resonant capacitance based on the current traversed load resistance, and update the reward value corresponding to the current load resistance and the current primary resonant capacitance to obtain an updated value;
[0131] The iteration module is used to iterate the initial value table based on the updated value until a preset number of iterations is reached or the similarity of the value table after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0132] Optionally, the initial value table acquisition module includes:
[0133] a power acquisition unit, configured to control the wireless power transmission system based on the sample load resistance and the sample primary resonant capacitance, and acquire the load power of the system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance, and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system;
[0134] an efficiency determination unit, configured to determine a transmission efficiency of the wireless power transmission system based on the load power and the output power;
[0135] a reward value determining unit, configured to determine a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function;
[0136] The initial value table acquisition unit is configured to acquire an initial value table based on the reward value, the sample load resistance, and the sample primary resonant capacitance.
[0137] Optionally, the power acquisition unit includes:
[0138] A voltage and current acquisition subunit, configured to acquire a load instantaneous voltage and a load instantaneous current of a system load module in a wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0139] The power acquisition subunit is used to multiply the load instantaneous voltage by the load instantaneous current to obtain the load power.
[0140] Optionally, the reward value determination unit includes:
[0141] The reward value determination subunit is used to obtain a preset positive reward value when the load power is greater than a preset power value and the transmission efficiency is greater than a preset efficiency value, and use the preset positive reward value as the corresponding reward value.
[0142] Optionally, the traversal module includes:
[0143] A candidate capacitor obtaining unit is used to obtain a candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0144] The current capacitance determining unit is configured to determine the current primary resonant capacitance based on a greedy strategy and corresponding values of the to-be-selected primary resonant capacitance and the current load resistance in the initial value table.
[0145] Optionally, the traversal module also includes:
[0146] The reward value update unit is used to update the reward value corresponding to the current load resistance and the current primary resonant capacitor using the update formula. The update formula is:
[0147] Q t ′(R t , A t )=Q t (R t , A t )+α*(r t +β*maxQ t+1 -Q t (R t , A t )),
[0148] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t , A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t , A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
[0149] Each module in the wireless power transmission system control device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.
[0150] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in Figure 7. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as trained value tables. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for controlling a wireless power transmission system is implemented.
[0151] Those skilled in the art will understand that the structure shown in FIG7 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.
[0152] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the wireless power transmission system control method provided in the above embodiment are implemented:
[0153] Determine a real-time load resistance of the wireless power transmission system and obtain a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0154] determining a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value in the trained value table;
[0155] The wireless power transfer system is controlled based on the real-time primary resonant capacitance.
[0156] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0157] Obtaining an initial value table; wherein the initial value table includes sample load resistance, sample primary resonant capacitance, and reward values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0158] Traverse the sample load resistance, determine the current primary resonant capacitance based on the current load resistance, update the reward value corresponding to the current load resistance and the current primary resonant capacitance, and obtain the updated value;
[0159] Based on the updated value, the initial value table is iterated until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0160] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0161] Based on the sample load resistance and the sample primary resonant capacitance, the wireless power transmission system is controlled to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0162] Determine the transmission efficiency of the wireless power transmission system based on the load power and output power;
[0163] Determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function;
[0164] Based on the reward value, the sample load resistance, and the sample primary resonant capacitance, an initial value table is obtained.
[0165] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0166] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0167] Multiply the load instantaneous voltage by the load instantaneous current to obtain the load power.
[0168] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0169] When the load power is greater than the preset power value and the transmission efficiency is greater than the preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
[0170] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0171] Obtain the candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0172] The current primary resonant capacitor is determined based on the greedy strategy and the corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
[0173] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0174] Use the update formula to update the reward value corresponding to the current load resistance and the current primary resonant capacitance. The update formula is:
[0175] Q t ′(R t , A t )=Q t (R t , A t )+α*(r t +β*maxQ t+1 -Q t (R t , A t )),
[0176] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t , A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t , A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
[0177] The implementation principle and technical effects of the above embodiment are similar to those of the above method embodiment and will not be repeated here.
[0178] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the wireless power transmission system control method provided in the above embodiment are implemented:
[0179] Determine a real-time load resistance of the wireless power transmission system and obtain a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0180] determining a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value in the trained value table;
[0181] The wireless power transfer system is controlled based on the real-time primary resonant capacitance.
[0182] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0183] Obtaining an initial value table; wherein the initial value table includes sample load resistance, sample primary resonant capacitance, and reward values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0184] Traverse the sample load resistance, determine the current primary resonant capacitance based on the current load resistance, update the reward value corresponding to the current load resistance and the current primary resonant capacitance, and obtain the updated value;
[0185] Based on the updated value, the initial value table is iterated until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0186] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0187] Based on the sample load resistance and the sample primary resonant capacitance, the wireless power transmission system is controlled to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0188] Determine the transmission efficiency of the wireless power transmission system based on the load power and output power;
[0189] Determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function;
[0190] Based on the reward value, the sample load resistance, and the sample primary resonant capacitance, an initial value table is obtained.
[0191] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0192] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0193] Multiply the load instantaneous voltage by the load instantaneous current to obtain the load power.
[0194] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0195] When the load power is greater than the preset power value and the transmission efficiency is greater than the preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
[0196] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0197] Obtain the candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0198] The current primary resonant capacitor is determined based on the greedy strategy and the corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
[0199] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0200] Use the update formula to update the reward value corresponding to the current load resistance and the current primary resonant capacitance. The update formula is:
[0201] Q t ′(R t , A t )=Q t (R t , A t )+α*(r t +β*maxQ t+1 -Q t (R t , A t )),
[0202] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t , A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t , A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
[0203] The implementation principle and technical effects of the above embodiment are similar to those of the above method embodiment and will not be repeated here.
[0204] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps of the wireless power transmission system control method provided in the above embodiment are implemented:
[0205] Determine a real-time load resistance of the wireless power transmission system and obtain a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0206] determining a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value in the trained value table;
[0207] The wireless power transfer system is controlled based on the real-time primary resonant capacitance.
[0208] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0209] Obtaining an initial value table; wherein the initial value table includes sample load resistance, sample primary resonant capacitance, and reward values corresponding to each sample load resistance and each sample primary resonant capacitance;
[0210] Traverse the sample load resistance, determine the current primary resonant capacitance based on the current load resistance, update the reward value corresponding to the current load resistance and the current primary resonant capacitance, and obtain the updated value;
[0211] Based on the updated value, the initial value table is iterated until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
[0212] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0213] Based on the sample load resistance and the sample primary resonant capacitance, the wireless power transmission system is controlled to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0214] Determine the transmission efficiency of the wireless power transmission system based on the load power and output power;
[0215] Determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and the reward function;
[0216] Based on the reward value, the sample load resistance, and the sample primary resonant capacitance, an initial value table is obtained.
[0217] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0218] Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance;
[0219] Multiply the load instantaneous voltage by the load instantaneous current to obtain the load power.
[0220] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0221] When the load power is greater than the preset power value and the transmission efficiency is greater than the preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
[0222] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0223] Obtain the candidate primary resonant capacitor corresponding to the current load resistance in the initial value table;
[0224] The current primary resonant capacitor is determined based on the greedy strategy and the corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
[0225] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:
[0226] Use the update formula to update the reward value corresponding to the current load resistance and the current primary resonant capacitance. The update formula is:
[0227] Q t ′(R t , A t )=Q t (R t , A t )+α*(r t +β*maxQ t+1 -Q t (R t , A t )),
[0228] Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t ,A t) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t , A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
[0229] The implementation principle and technical effects of the above embodiment are similar to those of the above method embodiment and will not be repeated here.
[0230] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.
[0231] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0232] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.
Claims
1. A wireless power transmission system control method, characterized in that: The method comprises: Determine a real-time load resistance of the wireless power transmission system and obtain a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance; determining, in the trained value table, a real-time primary resonant capacitance of the wireless power transfer system based on the real-time load resistance and the sample value; The wireless power transfer system is controlled based on the real-time primary resonant capacitance.
2. The method according to claim 1, characterized in that The training process of the value table includes: Obtaining an initial value table; wherein the initial value table includes the sample load resistance, the sample primary resonant capacitance, and a reward value corresponding to each sample load resistance and each sample primary resonant capacitance; Traversing the sample load resistance, determining the current primary resonant capacitance based on the current traversed load resistance, and updating the reward values corresponding to the current load resistance and the current primary resonant capacitance to obtain an updated value; Based on the updated value, the initial value table is iterated until a preset number of iterations is reached or the similarity of the value tables after consecutive iterations reaches a preset threshold, thereby obtaining a trained value table.
3. The method according to claim 2, characterized in that The obtaining of the initial value table includes: Based on the sample load resistance and the sample primary resonant capacitance, the wireless power transmission system is controlled to obtain the load power of the system load module in the wireless power transmission system and the output power of the high-frequency full-bridge inverter module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance; determining a transmission efficiency of the wireless power transmission system based on the load power and the output power; determining a reward value corresponding to each sample load resistance and each sample primary resonant capacitance based on the transmission efficiency, the load power, and a reward function; Based on the reward value, the sample load resistance and the sample primary resonant capacitance, an initial Value table.
4. The method according to claim 3, characterized in that The obtaining of the load power of the system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance includes: Obtaining a load instantaneous voltage and a load instantaneous current of a system load module in the wireless power transmission system under each sample load resistance and each sample primary resonant capacitance; The load power is obtained by multiplying the load instantaneous voltage by the load instantaneous current.
5. The method according to claim 3, characterized in that The determining, based on the transmission efficiency, the load power, and the reward function, a reward value corresponding to each sample load resistance and each sample primary resonant capacitance includes: When the load power is greater than a preset power value and the transmission efficiency is greater than a preset efficiency value, a preset positive reward value is obtained, and the preset positive reward value is used as the corresponding reward value.
6. The method according to claim 2, characterized in that The determining of the current primary resonant capacitance includes: Obtaining a candidate primary resonant capacitor corresponding to the current load resistance in the initial value table; The current primary resonant capacitor is determined based on a greedy strategy and corresponding values of the candidate primary resonant capacitor and the current load resistance in the initial value table.
7. The method according to claim 2, characterized in that The updating of the reward value corresponding to the current load resistance and the current primary resonant capacitance includes: The reward value corresponding to the current load resistance and the current primary resonant capacitance is updated using the update formula. The update formula is: Q t ′(R t ,A t )=Q t (R t ,A t )+ɑ*(r t +β*maxQ t+1 -Q t (R t ,A t )), Among them, R t is the current load resistance, A t is the current primary resonant capacitance, α is the learning rate, β is the discount factor, Q t ′(R t ,A t ) is the updated value corresponding to the current load resistance and the current primary resonant capacitance, Q t (R t ,A t ) is the current value corresponding to the current load resistance and the current primary resonant capacitance, maxQ t+1 is the maximum reward value corresponding to the next load resistance in the current traversal process, r t is the reward value corresponding to the current load resistance and the current primary resonant capacitance.
8. A wireless power transmission system control device, characterized in that: The device comprises: a value table acquisition module, configured to determine a real-time load resistance of the wireless power transmission system and acquire a trained value table; wherein the trained value table includes sample load resistances, sample primary resonant capacitances, and sample values corresponding to each sample load resistance and each sample primary resonant capacitance; a capacitance determination module, configured to determine a real-time primary resonant capacitance of the wireless power transmission system based on the real-time load resistance and the sample value in a trained value table; A control module is configured to control the wireless power transmission system based on the real-time primary resonant capacitance.
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 method 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 method according to any one of claims 1 to 7 are implemented.
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