Wireless transmission system receiving end state detection method, system and electronic device

Abstract

This application relates to a method, system, and electronic device for detecting the state of a receiver in a wireless transmission system. The method includes: a system model establishment step, which involves constructing an equivalent circuit of the wireless transmission system and then establishing a calculated value i of the resonant current at the transmitter. 0c A twin digital model is provided to represent the receiver load and the mutual inductance between the receiving coil and the transmitting coil. The detection model establishment steps involve constructing a cost function based on the phase and amplitude of the transmitter resonant current acquired from the wireless transmission system and the calculated phase and amplitude of the transmitter resonant current. An optimization estimation detection step involves iterating the cost function using a particle swarm optimization algorithm, and then calculating the estimated values ​​of the receiver load and the mutual inductance between the receiving and transmitting coils based on the iteration results to detect the receiver state. This application enables receiver load detection without auxiliary circuitry or a cumbersome data acquisition process.

Description

Technical Field

[0001] This application relates to the field of wireless charging technology, and in particular to a method, system, and electronic device for detecting the status of a receiver in a wireless transmission system. Background Technology

[0002] Wireless power transmission (WPT) technology enables contactless power transfer through high-frequency alternating electromagnetic fields, and is increasingly favored due to its superior sealing, flexibility, and convenience. However, this also brings difficulties to information transmission between the transmitter and receiver, leading to increased challenges in power control and system status monitoring.

[0003] Introducing an additional wireless communication link is the simplest control method in principle. However, this type of scheme requires an additional contactless information transmission module (such as a wireless Bluetooth communication module), which is complex. Furthermore, the phase relationship between the primary and secondary voltages / currents cannot be accurately described due to the time delay of information modulation. Without adding detection and feedback circuits, relying solely on amplitude and phase detection at the transmitting end cannot effectively identify the current load state at the receiving end. By directly and accurately estimating the mutual inductance and load using key data from the transmitting or receiving end, the wireless communication link can be eliminated, and a more comprehensive estimation of the receiving end information can be achieved.

[0004] However, existing solutions often require additional auxiliary coils or machine vision systems to acquire more receiver feature data, which is not advantageous in terms of size and cost. Some technical solutions rely on artificial intelligence algorithms such as neural networks for estimation, aiming to construct a network of relationships between transmitter current, mutual inductance, and load without the need for a circuit model, using abundant historical data. However, their drawbacks include the need for a large amount of accurate historical data to train the neural network, a cumbersome data acquisition process, and the need for secondary data acquisition when system parameters change, resulting in poor versatility. Summary of the Invention

[0005] This application provides a method, system, and electronic device for detecting the status of a wireless transmission system receiver, so as to at least achieve the detection of the receiver load without auxiliary circuits and cumbersome data acquisition process.

[0006] In a first aspect, embodiments of this application provide a receiver state detection method for a wireless transmission system, applied to an SS-type magnetically coupled wireless transmission system. The transmitter of the wireless transmission system includes an input power supply, a transmitter resonant capacitor, a transmitter coil and its parasitic resistance connected in series, and the receiver includes a receiver coil and its parasitic resistance, a receiver resonant capacitor, and a receiver load connected in series. Based on the aforementioned wireless transmission system, the state detection method of this application includes:

[0007] The system model establishment steps include constructing the equivalent circuit of the wireless transmission system and then calculating the resonant current i at the transmitter. 0c With receiver load R L A twin digital model of the mutual inductance M between the receiving coil and the transmitting coil;

[0008] The detection model establishment steps are based on the phase θ and amplitude I0 of the resonant current i0 at the transmitter of the wireless transmission system, as well as the calculated value i of the resonant current at the transmitter. 0c phase θ c Amplitude I 0c Construct the cost function;

[0009] The optimization estimation and detection step, based on the particle swarm optimization algorithm, aims to minimize the cost function. After iterating over the cost function, the estimated load value R at the receiving end is calculated based on the iteration results. est and the estimated mutual inductance M between the receiving coil and the transmitting coil. est To detect the status of the receiving end.

[0010] In some embodiments, the cost function is calculated based on the following computational model:

[0011] Er = abs(θ) c -θ)+abs(I 0c -I0), where abs() is used to represent the absolute value function.

[0012] In some embodiments, the receiving end further includes a rectifier circuit connected in series, the rectifier circuit being electrically connected to the resonant capacitor of the receiving end, and the method further includes:

[0013] The optimal receiver load correction steps are based on the receiver load estimate R. est and mutual inductance estimate M est Calculate the estimated value of the transmitter resonant current i. 0est Its phase I 0est and the estimated value of amplitude θ est and the estimated value I of the receiver current amplitude 1est Then, based on the estimated value I 1est Calculate the equivalent resistance R generated by the diode in the rectifier circuit. d Estimated power P diode and the receiving end load R L Estimated power P oest Then, the corrected receiver load R is obtained by solving the problem. c Wherein, the load estimate R est Including receiver load R L and the equivalent resistance R d .

[0014] In some embodiments, the corrected receiver load R c The calculation was obtained based on the following computational model:

[0015]

[0016] in,

[0017] In some embodiments, the transmitter resonant current i of the twin digital model 0c The calculation was obtained based on the following computational model:

[0018]

[0019] Among them, V fa For input power v fa The amplitude, Z eq Let ω = 2πf, where f is the operating frequency, L0 is the self-inductance of the transmitting coil, C0 is the resonant capacitance of the transmitting end, and R0 is the parasitic resistance of L0. In this application, ω is used as the key variable for detecting the state of the receiving end.

[0020] In some embodiments, the equivalent impedance Z eq The calculation was obtained based on the following computational model:

[0021]

[0022] Where L1 is the self-inductance of the receiving coil, C1 is the resonant capacitance of the receiving end, R1 is the parasitic resistance of L1, and k is the coupling coefficient between L0 and L1, which is directly related to the relative positions of the transmitting and receiving coils.

[0023] In some embodiments, the optimization estimation detection step further includes:

[0024] The population initialization step involves setting the mutual inductance M and the receiver load R. L The numerical range of the N mutual inductances M within that numerical range and the load R at the receiving end. L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents i are calculated based on these N initial coordinates. 0c N corresponding function values ​​Er i Where N is a natural number.

[0025] Based on the above steps, the model parameters in this embodiment are updated around the cost function, so that the transmitter current i 0c The convergence is achieved by bringing the measured current i0 at the transmitting end closer to the actual current i0.

[0026] In some embodiments, experiments have shown that when the receiving end operates in a fully resonant state, the equivalent impedance will only have a real part, and at this time there are multiple sets of R... L The local optimum of M. To avoid this situation, in the parameter design of this application, the natural frequencies of L1 and C1 are slightly offset from the system operating frequency, thereby introducing phase characteristics. According to the constant current characteristics of the receiver of the SS-type topology, this modification will not seriously affect the power transmission capability of the system. When the receiver exhibits capacitive characteristics, R L With an example of the convergence process of M, there exists R L The unique combination with M minimizes the cost function.

[0027] Secondly, embodiments of this application provide a wireless transmission system receiver status detection system for implementing the wireless transmission system receiver status detection method described in the first aspect above. The system includes:

[0028] The system model building module, configured to construct the equivalent circuit of the wireless transmission system, establishes the resonant current i at the transmitter. 0c With receiver load R L A twin digital model of the mutual inductance M between the receiving coil and the transmitting coil;

[0029] The detection model building module is configured to be based on the transmitter current i 0c phase θ c Amplitude I 0c The cost function is constructed using the phase θ and amplitude I0 of the measured current i0 at the transmitter of the wireless transmission system.

[0030] The optimization estimation and detection module is configured to use a particle swarm optimization algorithm to minimize the cost function. After iterating over the cost function, the receiver load R is calculated based on the iteration results. L And the mutual inductance M between the receiving coil and the transmitting coil.

[0031] In some embodiments, the optimization estimation detection module further includes:

[0032] The population initialization module is configured to set the mutual inductance M and the receiver load R. L The numerical range of the N mutual inductances M within that numerical range and the load R at the receiving end. L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents i are calculated based on these N initial coordinates. 0c N corresponding function values ​​Er i ;

[0033] The iterative update module is configured to update the cost function value Er obtained in a single iteration. iMinimum value Er m Compared with the historical best value Er best Compare and update the historical best value M of mutual inductance. best and the historical best value R of the receiver load Lbest Then perform a loop iteration.

[0034] In some embodiments, the system further includes:

[0035] The optimal receiver load correction module is configured to be based on the receiver load estimate R. est and mutual inductance estimate M est Calculate the estimated value of the transmitter resonant current i. 0est Its phase I 0est and the estimated value of amplitude θ est and the estimated value I of the receiver current amplitude 1est Then, based on the estimated value I 1est Calculate the equivalent resistance R generated by the diode in the rectifier circuit. d Estimated power P diode and the receiving end load R L Estimated power P oest Then, the corrected receiver load R is obtained by solving the problem. c Wherein, the load estimate R est Including receiver load R L and the equivalent resistance R d .

[0036] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the wireless transmission system receiver status detection method as described in the first aspect above.

[0037] Fourthly, embodiments of this application provide an electronically readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the wireless transmission system receiver status detection method as described in the first aspect above.

[0038] Compared with related technologies, the wireless transmission system receiver status detection method, system and electronic device provided in this application have the following advantages: they do not require additional non-contact information transmission modules, auxiliary coils, cameras and other equipment, nor do they require a large amount of historical data, which reduces implementation costs and overall system size. The detection of receiver parameters can be achieved simply by measuring the voltage and current of the transmitting end, thus improving the system's versatility.

[0039] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0040] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0041] Figure 1 This is a schematic diagram of a preferred serial wireless transmission system circuit according to an embodiment of this application;

[0042] Figure 2 It is based on Figure 1 The equivalent circuit diagram of the wireless transmission system shown is shown below.

[0043] Figure 3 A circuit schematic diagram of a wireless transmission system according to a preferred embodiment of this application is provided;

[0044] Figure 4 This is a flowchart of a wireless transmission system receiver status detection method according to an embodiment of this application;

[0045] Figure 5 This is another flowchart of a wireless transmission system receiver status detection method according to an embodiment of this application;

[0046] Figure 6 This is a structural block diagram of a wireless transmission system receiver status detection system according to an embodiment of this application. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0048] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0049] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0050] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0051] Particle Swarm Optimization (PSO) is a stochastic search algorithm based on group cooperation, developed by simulating the foraging behavior of bird flocks. Its working principle is as follows: assuming a flock consists of multiple individuals randomly distributed at arbitrary coordinates, and using the distance error to the target as the cost function, all individuals will converge towards the target through information exchange, eventually achieving convergence.

[0052] This application aims to construct a virtual model with similar characteristics to the actual circuit in a digital environment using a small amount of transmitter data through digital twin technology, and then construct a cost function. Based on this, a non-communication digital twin framework is built using the selection strategy of particle swarm optimization to simultaneously estimate the mutual inductance and the total load of the receiver with high accuracy.

[0053] This application provides a method for detecting the status of a receiver in a wireless transmission system, applicable to an SS-type magnetically coupled wireless transmission system. Figure 1 This is a schematic diagram of a preferred serial wireless transmission system circuit according to an embodiment of this application. Figure 2 It is based on Figure 1 The equivalent circuit diagram of the wireless transmission system shown is as follows: Figure 1-2 As shown, the transmitter of the wireless transmission system includes input power supplies V connected in series. fa The transmitter consists of a resonant capacitor C0, a transmitting coil L0 and its parasitic resistance R0, and a sinusoidal input voltage source. The receiver consists of a receiving coil L1 and its parasitic resistance R1, a receiving resonant capacitor C1, and a receiving load R connected in series. L In the diagram, k represents the coupling coefficient between the transmitting coil L0 and the receiving coil L1, which is directly related to their relative positions; M represents the mutual inductance between the transmitting and receiving coils, excluding self-inductance. Based on the aforementioned wireless transmission system, Figure 4 A flowchart of a receiver state detection method for a wireless transmission system is shown. (Refer to...) Figure 4 As shown, the state detection method of this application embodiment includes the following steps:

[0054] System model establishment step S1: After constructing the equivalent circuit of the wireless transmission system, establish the calculated value i of the resonant current at the transmitting end. 0c With receiver load R L A twin digital model of the mutual inductance M between the receiving coil and the transmitting coil; Reference Figure 1 , 2 As shown, under this twin digital model, the system's operating frequency is f. Then, the angular frequency and the mutual inductance M between the receiving coil and the transmitting coil can be calculated based on the following equations (1) and (2):

[0055] ω=2πf , (1)

[0056]

[0057] The total impedance Z2 at the receiving end is:

[0058]

[0059] According to the equivalent circuit Figure 2 In the diagram, the equivalent impedance Z at the receiver end is at the transmitter end. eq Recorded as:

[0060]

[0061] The total input impedance Z of the wireless transmission system is calculated based on formulas (3)-(4). in for:

[0062]

[0063] Based on the total input impedance Z in The transmitter current can be calculated:

[0064]

[0065] Among them, V fa For input power v fa The amplitude of the signal is used as a key variable for receiver state detection in this application.

[0066] Step S2 of the detection model establishment involves establishing the phase θ and amplitude I0 of the resonant current i0 at the transmitter of the wireless transmission system, as well as the calculated value i of the resonant current i0 at the transmitter. 0c phase θ c Amplitude I 0c Construct the cost function; the cost function is calculated based on the following computational model:

[0067] Er = abs(θ) c -θ)+abs(I 0c -I0), (7)

[0068] Here, abs() is used to represent the absolute value function.

[0069] In the optimization estimation and detection step S3, based on the particle swarm optimization algorithm (PSO) with the objective of minimizing the cost function, the cost function is iterated, and the receiver load estimate R is calculated based on the iteration results. est and the estimated mutual inductance M between the receiving coil and the transmitting coil. est To detect the status of the receiving end.

[0070] The optimization estimation detection step S3 further includes:

[0071] Population initialization step S301: Set the mutual inductance M and the receiver load R. L The numerical range of the N mutual inductances M within that numerical range and the load R at the receiving end. L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents i are calculated based on these N initial coordinates. 0c N corresponding function values ​​Er i Where N is a natural number, and the range of values ​​is denoted as:

[0072]

[0073] Optionally, the mutual inductance can be within 30 μH, and the receiving load can be within 30 Ω; the initial coordinates are:

[0074]

[0075] Rand(0,1) is used to represent a random number between 0 and 1.

[0076] In the iterative update step S302, the cost function value Er obtained in a single iteration is updated. i Minimum value Er m Compared with the historical best value Er best Specifically, by substituting the initial label into formula (6), N different calculated values ​​i are obtained. 0c Then, based on formula (7), the N cost function values ​​Er can be calculated. i Subsequently, update the historical best value M of mutual inductance. best and the historical best value R of the receiver load Lbest Then, a loop iteration is performed; the specific comparison principle is expressed as follows:

[0077]

[0078] Among them, M Erm With R LErm It is Er m The corresponding mutual inductance and load values.

[0079] In this embodiment, the update process of mutual inductance and receiver load is based on their iterative perturbation, which is expressed as follows:

[0080]

[0081] Among them, v' Mi With v' RLi M corresponding to individual i i With R Li The perturbation amount, v, in the next iteration Mi With v RLi These represent the perturbation amounts from the previous iteration, ω. q The inertial weight is used to represent the influence of historical data. c1 and c2 are the weights for self-learning and group learning, respectively. Therefore, the weights are used to describe the current optimal value and the historical optimal value.

[0082] If v' during the update process Mi With v' RLi Exceeding a preset range [v Mmin ,v Mmax ] and [v RLmin ,v RLmax If the result is negative, then a correction is made, and the correction process is based on the following formula:

[0083]

[0084] Based on the above perturbation, the update process for mutual inductance and receiver load in this application is as follows:

[0085]

[0086] Based on the given numerical ranges of mutual inductance and receiver load, the embodiments of this application impose the following limitations on mutual inductance and receiver load:

[0087]

[0088] Based on the above steps, this embodiment continuously substitutes new parameters into formula (6) and performs the next iteration. The update of the model parameters revolves around the cost function, making the transmitter current i 0c The convergence is achieved by bringing the measured current i0 at the transmitting end closer to the actual current i0.

[0089] It should be noted that, through experiments, the embodiments of this application have shown that when the receiving end operates in a fully resonant state, the equivalent impedance Z eq If only the real part exists, then there are multiple sets of R. L The local optimum of M. To avoid this situation, in the parameter design of this application, the natural frequencies of L1 and C1 are slightly offset from the system operating frequency, thereby introducing phase characteristics. According to the constant current characteristics of the receiver of the SS-type topology, this modification will not seriously affect the power transmission capability of the system. When the receiver exhibits capacitive characteristics, there exists R L The unique combination with M minimizes the cost function.

[0090] This application embodiment uses characteristic quantities (θ, I0, θ) c I 0c The cost function is optimized to achieve accurate estimation of mutual inductance and receiver load based solely on the input voltage and current of the transmitter at a single frequency, without the need for additional physical communication devices between the transmitter and receiver or multiple parameter acquisitions. This eliminates the need to obtain more feature data by changing the circuit operating mode or adjusting the frequency, thus reducing the implementation difficulty of the detection method.

[0091] In some embodiments, this application also takes into account that the diode voltage drop in the rectifier circuit will also generate an equivalent resistance R. d And based on this equivalent resistance, the receiving load R Lest Correction is required. Figure 3 A circuit schematic diagram of a wireless transmission system according to a preferred embodiment of this application is provided, with reference to... Figure 3 As shown, in this embodiment, the input power supply of the transmitter is configured as a DC input voltage V. DDThe transmitter also includes a half-bridge inverter circuit, which consists of transistors S1 and S2, connected in series and then in parallel to the DC input voltage V. DD Both ends, thus converting the DC input voltage V DD Converted to high-frequency square wave voltage v in The receiving end also includes a series-connected rectifier circuit and a filter capacitor C0. Optionally, the rectifier circuit is a full-bridge rectifier circuit, and the electronic load IT8511A is selected as the actual load R in the preferred embodiment. The rectifier circuit is electrically connected to the receiving end resonant capacitor C1, and the filter capacitor C0 is electrically connected to the receiving end load. Due to the frequency selectivity of the resonant network, only the high-frequency square wave voltage v in The fundamental wave v in fa Power transfer is possible. fa With v in Between and R and R L The conversion relationships between them are as follows:

[0092]

[0093] based on Figure 3 The wireless transmission system shown Figure 5 A flowchart of the detection method according to a preferred embodiment of this application is shown. (Refer to...) Figure 5 As shown, the detection method in the preferred embodiment of this application further includes:

[0094] Optimal receiver load correction step S4, based on the receiver load estimate R est and mutual inductance estimate M est Calculate the estimated value of the transmitter resonant current i. 0est Its phase I 0est and the estimated value of amplitude θ est and the estimated value I of the receiver current amplitude 1est Specifically:

[0095] The receiver load estimate R est and mutual inductance estimate M est Substituting into formulas (1)-(5), we can obtain the estimated value of the total input impedance Z. in_est for:

[0096]

[0097] Then, the estimated values ​​of i0, I0, θ, and I1 are obtained. 0est I 0est θ est I 1est Specifically, it is expressed as:

[0098]

[0099] Where Im() is used to represent i 0est The imaginary part, Re(), is used to represent i. 0est The real part;

[0100]

[0101] Then, based on the estimated value I 1est Calculate the equivalent resistance R d Estimated power P diode and the receiving end load R L Estimated power P oest ,

[0102]

[0103] Due to the forward voltage drop V of a single diode in the rectifier circuit f Constant, estimate power P diode It can be calculated based on the following formula:

[0104]

[0105] Among them, I av Given the average current of the rectifier circuit, the estimated power P can be obtained by combining formulas (19) and (20). oest .

[0106] and then, Figure 3 The wireless transmission system shown has a load estimate R. est Including receiver load R L and the equivalent resistance R generated by the diode in the rectifier circuit d Wherein, the equivalent resistance R d It can be calculated based on the following formula:

[0107]

[0108] Receiver load R L The estimated value can be calculated based on the following formula:

[0109]

[0110] By combining formulas (15) and (22), the corrected receiver load R can be obtained. c :

[0111]

[0112] Based on the above steps, this embodiment of the application achieves the correction of the estimated parameters and accurate estimation of the receiver current, output power, and equivalent resistance of the rectifier circuit, thus realizing a comprehensive and high-precision description of the receiver state. Compared with existing solutions, this method requires no special structure, only uses the transmitter voltage / current at a fixed frequency, and has a simple principle while providing more comprehensive monitoring of the receiver.

[0113] This application also provides a wireless transmission system receiver status detection system to implement the wireless transmission system receiver status detection method described in the above embodiments. Figure 6 This is a structural block diagram of a wireless transmission system receiver status detection system according to an embodiment of this application, such as... Figure 6 As shown, the system includes:

[0114] System model building module 1, configured to construct the equivalent circuit of the wireless transmission system, establishes the resonant current i at the transmitting end. 0c With receiver load R L A twin digital model of the mutual inductance M between the receiving coil and the transmitting coil;

[0115] Detection model building module 2 is configured to be based on the transmitter current i 0c phase θ c Amplitude I 0c The cost function is constructed using the phase θ and amplitude I0 of the measured current i0 at the transmitter of the wireless transmission system.

[0116] The optimization estimation and detection module 3 is configured to use a particle swarm optimization algorithm to minimize the cost function. After iterating over the cost function, the receiver load R is calculated based on the iteration results. L And the mutual inductance M between the receiving coil and the transmitting coil.

[0117] In some embodiments, the optimization estimation detection module 3 further includes:

[0118] Population initialization module 301 is configured to set the mutual inductance M and the receiver load R. L The numerical range of the N mutual inductances M within that numerical range and the load R at the receiving end. L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents i are calculated based on these N initial coordinates. 0c N corresponding function values ​​Er i ;

[0119] The iterative update module 302 is configured to update the cost function value Er obtained in a single iteration. i Minimum value Er m Compared with the historical best value Er bestCompare and update the historical best value M of mutual inductance. best and the historical best value R of the receiver load Lbest Then perform a loop iteration.

[0120] In some embodiments, the state detection system of this application further includes:

[0121] The optimal receiver load correction module 4 is configured to adjust the receiver load based on the estimated receiver load value R. est and mutual inductance estimate M est Calculate the estimated value of the transmitter resonant current i. 0est Its phase I 0est and the estimated value of amplitude θ est and the estimated value I of the receiver current amplitude 1est Then, based on the estimated value I 1est Calculate the equivalent resistance R generated by the diode in the rectifier circuit. d Estimated power P diode and the receiving end load R L Estimated power P oest Then, the corrected receiver load R is obtained by solving the problem. c Wherein, the load estimate R est Including receiver load R L and the equivalent resistance R d .

[0122] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0123] In addition, combined Figure 1-4 The wireless transmission system receiver status detection method described in this application embodiment can be implemented by an electronic device, which may include a processor and a memory storing computer program instructions.

[0124] Specifically, the processor may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0125] The memory may include a large-capacity storage device for data or instructions. For example, and not limitingly, the memory may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), flash memory, an optical disk drive, a magneto-optical disk drive, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. The memory can be used to store or cache various data files that need to be processed and / or communicated, as well as possible computer program instructions executed by the processor. The processor implements any of the wireless transmission system receiver status detection methods in the above embodiments by reading and executing the computer program instructions stored in the memory.

[0126] The electronic device can execute the wireless transmission system receiver status detection method in this application embodiment based on the acquired computer program instructions, thereby realizing the wireless transmission system receiver status detection method described in conjunction with the above embodiments.

[0127] Furthermore, in conjunction with the wireless transmission system receiver status detection method in the above embodiments, this application embodiment can provide an electronically readable storage medium for implementation. This electronically readable storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the wireless transmission system receiver status detection methods in the above embodiments.

[0128] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0129] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for detecting the status of a receiver in a wireless transmission system, wherein the transmitter of the wireless transmission system includes an input power supply, a transmitter resonant capacitor, a transmitter coil and its parasitic resistance connected in series, and the receiver includes a receiver coil and its parasitic resistance, a receiver resonant capacitor and a receiver load connected in series, wherein the receiver coil is electromagnetically coupled to the transmitter coil, characterized in that, include: The system model establishment steps include constructing the equivalent circuit of the wireless transmission system and then calculating the resonant current at the transmitter. i 0c With receiver load R L 、 Mutual inductance between the receiving coil and the transmitting coil M Twin digital models between them; The detection model establishment steps are based on the acquired resonant current at the transmitter of the wireless transmission system. i Phase 0 θ Amplitude I 0 and the calculated value of the transmitting end resonant current i 0c phase θ c Amplitude I 0c Construct the cost function; The optimization estimation and detection step, based on the particle swarm optimization algorithm, aims to minimize the cost function. After iterating over the cost function, the receiver load estimate is obtained based on the iteration results. R est and the estimated mutual inductance between the receiving coil and the transmitting coil M est To detect the status of the receiving end.

2. The wireless transmission system receiver status detection method according to claim 1, characterized in that, The cost function is calculated based on the following computational model: Er = abs ( θ c － θ )+ abs ( I 0c － I 0)。 3. The wireless transmission system receiver status detection method according to claim 1, characterized in that, The receiving end further includes a series-connected rectifier circuit, which is electrically connected to the resonant capacitor of the receiving end. The method further includes: The optimal receiver load correction steps are based on the receiver load estimate. R est and mutual inductance estimates M est Calculate the estimated value of the transmitter resonant current. i 0est Its phase I 0est and the estimated value of amplitude θ est and the estimated value of the receiver current amplitude I 1est Then, based on the estimated value I 1est Calculate the equivalent resistance generated by the diodes in the rectifier circuit. R d Estimated power P diode and the receiving end load R L Estimated power P oest Then, the corrected receiver load can be obtained by solving the problem. R c , wherein the load estimate R est Including receiver load R L and the equivalent resistance R d .

4. The wireless transmission system receiver status detection method according to claim 3, characterized in that, The corrected receiver load R c The calculation was obtained based on the following computational model: ， in, .

5. The wireless transmission system receiver status detection method according to claim 2, characterized in that, The transmitter resonant current of the twin digital model i 0c The calculation was obtained based on the following computational model: ， in, V fa For input power v fa amplitude, Z in The total input impedance of the wireless transmission system. Z eq The equivalent impedance of the receiver at the transmitter in the equivalent circuit is ω=2. πf , f For operating frequency, L 0 represents the self-inductance of the transmitting coil. C 0 represents the resonant capacitance at the transmitter. R 0 is L Parasitic resistance of 0.

6. The wireless transmission system receiver status detection method according to claim 5, characterized in that, The equivalent impedance Z eq The calculation was obtained based on the following computational model: ， Where Z2 is the total impedance of the receiving end. L 1 represents the self-inductance of the receiving coil, and C1 represents the resonant capacitance at the receiving end. R 1 is L Parasitic resistance of 1 k for L 0 and L The coupling coefficient is 1.

7. The wireless transmission system receiver status detection method according to claim 6, characterized in that, The optimization estimation and detection step further includes: Population initialization steps, setting the mutual inductance M With the receiver load R L The numerical range and the N mutual inductances within that numerical range M With the receiver load R L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents are calculated based on these N initial coordinates. i 0c N corresponding function values Er i ; The iterative update step updates the cost function value obtained in a single iteration. Er i minimum value Er m Compared with historical best value Er best Compare and update the historical best value of mutual intuition. M best and the historical best value of receiver load R Lbest Then perform a loop iteration.

8. A wireless transmission system receiver status detection system, used to implement the wireless transmission system receiver status detection method as described in any one of claims 1-7, characterized in that, include: The system model building module, after being configured to construct the equivalent circuit of the wireless transmission system, establishes the resonant current at the transmitting end. i 0c With receiver load R L 、 Mutual inductance between the receiving coil and the transmitting coil M Twin digital models between them; The detection model building module is configured to be based on the transmitter current. i 0c phase θ c Amplitude I 0c and the measured current at the transmitter of the wireless transmission system obtained from the data. i Phase 0 θ Amplitude I 0. Construct the cost function; The optimization estimation and detection module is configured to use a particle swarm optimization algorithm to minimize the cost function. After iterating over the cost function, the receiver load is calculated based on the iteration results. R L and the mutual inductance between the receiving coil and the transmitting coil M .

9. The wireless transmission system receiver status detection system according to claim 8, characterized in that, The optimization estimation and detection module further includes: The population initialization module is configured to set the mutual inductance. M With the receiver load R L The numerical range and the N mutual inductances within that numerical range M With the receiver load R L The initial coordinates of the constituent individuals are determined, and N sets of corresponding transmitter currents are calculated based on these N initial coordinates. i 0c N corresponding function values Er i ; The iterative update module is configured to update the cost function value obtained in a single iteration. Er i minimum value Er m Compared with historical best value Er best Compare and update the historical best value of mutual intuition. M best and the historical best value of receiver load R Lbest Then perform a loop iteration.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the wireless transmission system receiver status detection method as described in any one of claims 1 to 6.

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