Wireless power transmission system compensation circuit parameter optimization method and device

Abstract

The invention provides a wireless electric energy transmission system compensation circuit parameter optimization method and device, and belongs to the technical field of wireless electric energy transmission, and the method comprises the steps: constructing a compensation circuit model corresponding to a wireless electric energy transmission system compensation circuit, and carrying out the AC impedance analysis of the compensation circuit model, obtaining an expression of the output power and the transmission efficiency of the wireless power transmission system compensation circuit; determining a target parameter needing to be optimized, a corresponding target function and a constraint condition based on the expression of the output power and the transmission efficiency; based on the target parameter, the target function and the constraint condition, parameter optimization is carried out in combination with a firework explosion algorithm, and the optimal parameter of the wireless power transmission system compensation circuit is determined; according to the firework explosion algorithm, the firework position falling into the local optimum is changed by adopting chaotic mapping. The method can solve the problems that an existing wireless power transmission system compensation circuit parameter optimization method cannot obtain a better compensation circuit and is poor in output characteristic.

Description

Technical Field

[0001] This invention relates to the field of wireless power transmission technology, and more specifically to a method and apparatus for optimizing compensation circuit parameters in a wireless power transmission system. Background Technology

[0002] With the continuous development of unmanned equipment, the demand for reliable power transmission methods is constantly increasing. In the civilian sector, wireless power transmission technology has been widely used due to its advantages of safety, efficiency, and reliability. In the military sector, however, due to limitations such as environment and power level, there are no mature applications yet. With the rapid development of power electronics technology, electromagnetic conversion technology, and power system technology, applying wireless power transmission technology to platforms can increase the power of unmanned equipment platforms and enhance their emergency mobility capabilities.

[0003] For the parameter optimization problem of compensation circuit in wireless power transmission system, the most commonly used method is the particle swarm optimization algorithm. However, the traditional particle swarm optimization algorithm has the disadvantage of being prone to getting trapped in local optima, which leads to the inability to obtain a good compensation circuit and poor output characteristics. Summary of the Invention

[0004] In view of this, it is necessary to provide a method and apparatus for optimizing the parameters of a wireless power transmission system compensation circuit, so as to solve the technical problems that existing methods for optimizing the parameters of a wireless power transmission system compensation circuit cannot obtain a better compensation circuit and have poor output characteristics.

[0005] To address the aforementioned problems, in a first aspect, the present invention provides a method for optimizing the parameters of a compensation circuit in a wireless power transmission system, comprising: A compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed, and AC impedance analysis is performed on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. Based on the expressions for output power and transmission efficiency, the target parameters to be optimized, the corresponding objective function, and the constraints are determined. Based on the target parameters, the objective function, and the constraints, and combined with the fireworks explosion algorithm, the optimal parameters of the wireless power transmission system compensation circuit are determined. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0006] In one possible implementation, a compensation circuit model corresponding to the wireless power transmission system compensation circuit is constructed, including: Based on the controlled source equivalent model of the compensation circuit of the wireless power transmission system, a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed. The equivalent model of the controlled source in the compensation circuit of the wireless power transmission system includes:

[0007]

[0008]

[0009] in, Z in2 For the impedance of the receiving circuit, Z in1 The primary input impedance is... L 1 represents the self-inductance of the transmitting coil. C 1 is the resonant capacitor. Z 2eq The equivalent impedance of the receiving end. R 2 represents the internal resistance of the receiving coil. M For mutual inductance of coils, C f1 and C f2 These are the resonant compensation capacitors for the two coils, respectively. R 1 represents the internal resistance of the transmitting coil. L f1 For the resonant compensation inductance on the transmitting coil side, ω It is the system's resonant angular frequency. R L For load.

[0010] In one possible implementation, the objective function is:

[0011] in, Max ( f Let ) be the objective function. P out It is the output power of the compensation circuit in the wireless power transmission system. η It refers to the output efficiency of the compensation circuit in the wireless power transmission system. m It is the weighting coefficient of the output power. n It is the weighting coefficient for the efficiency mentioned.

[0012] In one possible implementation, the target parameter that needs to be optimized is:

[0013]

[0014]

[0015] in, x For the target parameters that need to be optimized,L f For including L f1 and L f2 , L f1 For the resonant compensation inductance on the transmitting coil side, L f2 For the resonant compensation inductance on the receiving coil side, L 2 represents the self-inductance of the receiving coil.

[0016] In one possible implementation, the constraints include: The current in the compensation circuit of the wireless power transmission system is less than the maximum current that can be passed using Litz wire; The output power of the compensation circuit in the wireless power transmission system is within the target power range; The output power of the compensation circuit in the wireless power transmission system is greater than the preset minimum output power.

[0017] In one possible implementation, the optimal parameters of the wireless power transmission system compensation circuit are determined based on the target parameters, the objective function, and the constraints, combined with a fireworks explosion algorithm, including: Substitute the target parameters, the objective function, and the constraints into the fireworks explosion algorithm; After the fireworks explosion algorithm is initialized, the explosion radius and number of sparks of the fireworks are iteratively solved based on the adaptive coefficients of the fireworks. Based on the explosion radius and number of sparks of the fireworks, the explosion behavior is executed to generate sparks, and the spark fitness is calculated. When it is determined that it is necessary to continue iterating based on the spark fitness, the best individual in the community is selected as the offspring fireworks, and the adaptive coefficients corresponding to the offspring fireworks are updated. In each iteration, when the adaptive coefficient of the child firework exceeds the upper limit and the child firework is not the globally optimal firework, a chaotic mapping is used to change the position of the child firework and the adaptive coefficient of the child firework is set to zero. When the preset termination condition is met, the optimal firework is determined based on the offspring fireworks, and the optimal parameters of the wireless power transmission system compensation circuit are determined based on the optimal firework.

[0018] In one possible implementation, the explosion radius and number of sparks of the fireworks are calculated based on the following formula:

[0019]

[0020] in, r The initial blast radius of the fireworks. S This represents the initial number of sparks.m i For the first i The adaptive coefficient of a firework. r i For the first i The blast radius of a firework S i For the first i The number of sparks produced by a single firework explosion m The adaptive coefficient for the initial fireworks. rand (·) is the rounding function based on the rounding principle; m i The calculation rule is: if the first i If the firework is the optimal firework, then the [number]th firework... i When a firework explosion produces a better generation of fireworks. m i Decrement by 1 if necessary, otherwise increment by 1; when... m i When less than 0, let m i Equal to 0; if the first i If the firework is not the optimal firework, then the... i When a firework explosion produces a better generation of fireworks. m i If it remains unchanged, otherwise increment by 1. m i When the upper limit is exceeded, chaotic mapping is activated to cause it to escape the local optimum region, and... m i Set to zero.

[0021] In a second aspect, the present invention also provides a device for optimizing the parameters of a wireless power transmission system compensation circuit, comprising: The model building module is used to build a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system, and to perform AC impedance analysis on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. The target and constraint determination module is used to determine the target parameters to be optimized, the corresponding objective function, and the constraint conditions based on the expressions for the output power and transmission efficiency. The optimization module is used to optimize parameters based on the target parameters, the objective function, and the constraints, and in conjunction with the fireworks explosion algorithm, to determine the optimal parameters of the wireless power transmission system compensation circuit. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0022] Thirdly, the present invention also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps of the wireless power transmission system compensation circuit parameter optimization method as described in any of the preceding claims.

[0023] Fourthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the wireless power transmission system compensation circuit parameter optimization method as described in any of the preceding claims.

[0024] The beneficial effects of the above implementation are as follows: The wireless power transmission system compensation circuit parameter optimization method and apparatus provided by this invention constructs a compensation circuit model corresponding to the wireless power transmission system compensation circuit, performs AC impedance analysis on the compensation circuit model, obtains expressions for the output power and transmission efficiency of the wireless power transmission system compensation circuit, and then determines the target parameters to be optimized, the corresponding objective function, and the constraints. Combined with the fireworks explosion algorithm, parameter optimization is performed to determine the optimal parameters of the wireless power transmission system compensation circuit. The fireworks explosion algorithm provided by this invention introduces chaotic mapping into the original fireworks explosion algorithm to change the position of fireworks trapped in local optima, improves the global optimization effect of multi-objective optimization parameters in wireless power transmission systems, solves the shortcomings of traditional particle swarm optimization algorithms that are prone to getting trapped in local optima, improves the speed of parameter optimization, and results in better output characteristics of the optimized compensation circuit. This solves the technical problems of existing wireless power transmission system compensation circuit parameter optimization methods, which cannot obtain a better compensation circuit and have poor output characteristics. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A flowchart of an embodiment of the wireless power transmission system compensation circuit parameter optimization method provided by the present invention; Figure 2 A topology diagram of the compensation circuit provided by the present invention; Figure 3 The optimization effect diagram of the particle swarm algorithm provided by this invention; Figure 4 The improved fireworks explosion algorithm provided by this invention is shown in the following diagram. Figure 5A schematic diagram of the optimized efficiency curve of the bilateral LCC resonant compensation wireless power transfer system provided by the present invention; Figure 6 A schematic block diagram of an embodiment of the wireless power transmission system compensation circuit parameter optimization device provided by the present invention; Figure 7 A schematic diagram of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0028] In the description of the embodiments of this application, unless otherwise stated, "a plurality of" means two or more.

[0029] In this embodiment of the invention, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, apparatus, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such process, method, product or device.

[0030] The naming or numbering of steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed in the time / logical order indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effect can be achieved.

[0031] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0032] This invention provides a method and apparatus for optimizing the parameters of a compensation circuit in a wireless power transmission system, which will be described below.

[0033] This invention provides a method for optimizing compensation circuit parameters in a wireless power transmission system. This method can be implemented by executing an application on a terminal or server. The terminal can be a mobile phone or computer, and the server can be a cloud server or an edge server. Figure 1 As shown, the method includes: S101. Construct a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system, and perform AC impedance analysis on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system.

[0034] Understandably, based on the controlled source equivalent model of the wireless power transmission system compensation circuit, a wireless power transmission compensation circuit model is constructed, and AC impedance analysis is performed on the system to obtain expressions for the system output power and transmission efficiency.

[0035] S102. Based on the expressions for output power and transmission efficiency, determine the target parameters to be optimized, the corresponding objective function, and the constraints.

[0036] It is understandable that the target parameters for optimization and the objective function for parameter optimization are determined based on the expressions for system output power and transmission efficiency; and the constraints are determined based on the requirements for system output power and transmission efficiency.

[0037] S103. Based on the target parameters, the target function, and the constraints, and combined with the fireworks explosion algorithm, perform parameter optimization to determine the optimal parameters of the wireless power transmission system compensation circuit; Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0038] It is understandable that an improved fireworks explosion algorithm is used to optimize the parameters and obtain the optimal parameters of the compensation circuit of the wireless power transmission system. The improved fireworks explosion algorithm is that chaotic mapping is introduced into the original fireworks explosion algorithm to change the position of the fireworks that is trapped in local optima, thereby improving the global optimization effect of the multi-objective optimization parameters of the wireless power transmission system.

[0039] In some embodiments, constructing a compensation circuit model corresponding to the wireless power transmission system compensation circuit includes: Based on the controlled source equivalent model of the compensation circuit of the wireless power transmission system, a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed. The equivalent model of the controlled source in the compensation circuit of the wireless power transmission system includes:

[0040]

[0041]

[0042] in, Z in2 For the impedance of the receiving circuit, Z in1 The primary input impedance is... L 1 represents the self-inductance of the transmitting coil. C 1 is the resonant capacitor. Z 2eq The equivalent impedance of the receiving end. R 2 represents the internal resistance of the receiving coil. M For mutual inductance of coils, C f1 and C f2 These are the resonant compensation capacitors for the two coils, respectively. R 1 represents the internal resistance of the transmitting coil. L f1 For the resonant compensation inductance on the transmitting coil side, ω It is the system's resonant angular frequency. R L For load.

[0043] It is understandable that wireless power transmission system compensation circuits, such as Figure 2 As shown, an LCC / LCC compensation circuit is used, which includes two resonant capacitors. C 1 and C 2. It also contains 8 diodes. D 1. D 2. D 3. D 4. D 5. D 6. D 7 and D 8, and 8 MOSFETs S 1. S 2. S 3. S 4. S 5. S 6. S 7. S 8. The voltages at both ends are respectively V 1 and V 2.

[0044] If the input impedance is to satisfy the ZPA condition (zero phase angle condition), then the resonant element must satisfy the following condition:

[0045] The current in each branch of the LCC / LCC compensation circuit system is:

[0046] When the primary and secondary side parameters are symmetrical, the output power for:

[0047] Input power :

[0048] efficiency:

[0049] System output power and efficiency in relation to load R L mutual inductance of coils M Resonant compensation inductor L f Coil internal resistance R 2. Related to this.

[0050] In some embodiments, the objective function is:

[0051] in, Max ( f Let ) be the objective function. P out It is the output power of the compensation circuit in the wireless power transmission system. η It refers to the output efficiency of the compensation circuit in the wireless power transmission system. m It is the weighting coefficient of the output power. n It is the weighting coefficient for the efficiency mentioned.

[0052] Understandably, in the objective function, the weighting coefficients for power and efficiency are 1 and 1000, respectively, and the objective function is based on obtaining the frequency. f The maximum value is the target.

[0053] In some embodiments, the target parameter to be optimized is:

[0054]

[0055]

[0056] in, x For the target parameters that need to be optimized, L f For including L f1 and L f2 , L f1 For the resonant compensation inductance on the transmitting coil side,L f2 For the resonant compensation inductance on the receiving coil side, L 2 represents the self-inductance of the receiving coil.

[0057] It is understood that the wireless power transmission system compensation circuit in this embodiment is an LCC / LCC compensation circuit, and its output power and efficiency are related to the load. R L mutual inductance of coils M Resonant compensation inductor L f The coupling coefficient is related to... k Mutual inductance of coupled coils M Self-inductance of transmitting coil L 1. Self-inductance of the receiving coil L The relationship between the two can be derived from the above formula.

[0058] In some embodiments, the constraints include: The current in the compensation circuit of the wireless power transmission system is less than the maximum current that can be passed using Litz wire; The output power of the compensation circuit in the wireless power transmission system is within the target power range; The output power of the compensation circuit in the wireless power transmission system is greater than the preset minimum output power.

[0059] Understandably, Litz wire is a conductor structure made of multiple independent insulated conductors twisted or braided together, mainly used in high-frequency electromagnetic equipment to reduce losses caused by skin effect and proximity effect.

[0060] In some embodiments, the optimal parameters of the wireless power transmission system compensation circuit are determined based on the target parameters, the objective function, and the constraints, combined with a fireworks explosion algorithm, to optimize the parameters, including: Substitute the target parameters, the objective function, and the constraints into the fireworks explosion algorithm; After the fireworks explosion algorithm is initialized, the explosion radius and number of sparks of the fireworks are iteratively solved based on the adaptive coefficients of the fireworks. Based on the explosion radius and number of sparks of the fireworks, the explosion behavior is executed to generate sparks, and the spark fitness is calculated. When it is determined that it is necessary to continue iterating based on the spark fitness, the best individual in the community is selected as the offspring fireworks, and the adaptive coefficients corresponding to the offspring fireworks are updated. In each iteration, when the adaptive coefficient of the child firework exceeds the upper limit and the child firework is not the globally optimal firework, a chaotic mapping is used to change the position of the child firework and the adaptive coefficient of the child firework is set to zero. When the preset termination condition is met, the optimal firework is determined based on the offspring fireworks, and the optimal parameters of the wireless power transmission system compensation circuit are determined based on the optimal firework.

[0061] Understandably, the initialization of the fireworks explosion algorithm refers to initializing the algorithm parameters and randomly generating initial fireworks within the feasible region. This involves determining the explosion radius and the number of sparks for the fireworks; if the number of sparks for the optimal fireworks exceeds the upper limit, then the upper limit value is used.

[0062] Perform an explosion to generate ordinary sparks and calculate the spark fitness. Determine if the maximum number of iterations has been reached; if so, output the optimal individual and terminate the algorithm; otherwise, proceed to the next step.

[0063] In some embodiments, the blast radius and number of sparks of fireworks are calculated based on the following formula:

[0064]

[0065] in, r The initial blast radius of the fireworks. S This represents the initial number of sparks. m i For the first i The adaptive coefficient of a firework. r i For the first i The blast radius of a firework S i For the first i The number of sparks produced by a single firework explosion m The adaptive coefficient for the initial fireworks. rand (·) is the rounding function based on the rounding principle; m i The calculation rule is: if the first i If the firework is the optimal firework, then the [number]th firework... i When a firework explosion produces a better generation of fireworks. m i Decrement by 1 if necessary, otherwise increment by 1; when... m i When less than 0, let m i Equal to 0; if the first i If the firework is not the optimal firework, then the... i When a firework explosion produces a better generation of fireworks. m i If it remains unchanged, otherwise increment by 1. m i When the upper limit is exceeded, chaotic mapping is activated to cause it to escape the local optimum region, and... mi Set to zero.

[0066] Understandable, m i The initial value is 0, and its upper limit is a constant. The optimal fireworks... m i There is no upper limit, but there is an upper limit to the number of sparks. If the number of sparks exceeds the upper limit, the upper limit value will be used.

[0067] In some embodiments, the wireless power transfer system compensation circuit is an LCC / LCC compensation circuit system (i.e., a dual LCC type compensation circuit system). The LCC circuit system is a power electronic topology that combines series and parallel resonant characteristics. The receiver circuit impedance of the wireless power transfer system compensation circuit... Z in2 Mapping the receiver circuit impedance to the transmitter's reflected impedance Z 2eq Primary input impedance Z in1 They are respectively:

[0068]

[0069]

[0070] in, L 1 represents the self-inductance of the transmitting coil; C 1 is the resonant capacitor; Z 2eq The equivalent impedance at the receiving end; R 2 represents the internal resistance of the receiving coil; M Mutual inductance between coils; R f The internal resistance of the resonant inductor; C f This is a resonant compensation capacitor; R 1 represents the internal resistance of the transmitting coil; L f1 For resonant compensation inductance; ω It is the system's resonant angular frequency; R L For load.

[0071] If the input impedance is to satisfy the ZPA condition (zero phase angle condition), then the resonant element must satisfy the following condition:

[0072] The current in each branch of the LCC / LCC compensation circuit system is:

[0073] When the primary and secondary side parameters are symmetrical, the output power for:

[0074] Input power :

[0075] efficiency:

[0076] System output power and efficiency in relation to load R L mutual inductance of coils M Resonant compensation inductor L f Coil internal resistance R 2. Related to this.

[0077] Determining the objective function for parameter optimization includes the following steps: Based on the transmission power and efficiency considerations for a wireless power transmission system, the objective function is:

[0078] It is the system output power. It is the system's output efficiency. m, n These are the weighting coefficients for output power and efficiency, respectively.

[0079] Determining the target parameters for optimization includes the following steps: LCC / LCC compensation circuit system output power and efficiency are related to load. R L mutual inductance of coils M Resonant compensation inductor L f The coupling coefficient is related to... k Mutual inductance of coupled coils M Self-inductance of transmitting coil L 1. Self-inductance of the receiving coil L The relationship between 2 is:

[0080] Define the resonance compensation coefficient α as the ratio of the resonant inductance to the self-inductance of the transmitting coil, then:

[0081] Therefore, the optimization parameters are determined as follows:

[0082] Determining constraints includes the following steps: The output power of the LCC / LCC compensation circuit system should be within a certain range, the system output efficiency should be greater than a minimum efficiency value, and the circuit current should be less than the maximum current that can be passed using Litz wire. Therefore, the constraints are:

[0083] For a power MOSFET to reach a zero-voltage state upon turn-on, its drain-source voltage (DS) must drop to zero before turn-on, requiring the circuit to have a certain charge-drawing capability. Therefore, to achieve ZVS (zero-voltage switching), the current at the switching moment must satisfy the following equation, where... C oss For switching transistors Q 1- Q Parasitic capacitance of 8 T d This refers to the dead zone time.

[0084]

[0085] The optimization of parameters using the improved fireworks explosion algorithm includes the following steps: Step 1: Initialize algorithm parameters, randomly generate initial fireworks in the feasible region, and calculate their fitness; Step 2: Determine the explosion radius and number of sparks of the fireworks using the following formula. If the number of sparks for the optimal fireworks exceeds the upper limit, then take the upper limit value.

[0086]

[0087] In the formula, r and S This refers to the initial explosion radius and the number of sparks in the fireworks. m i For the first i The adaptive coefficient of each firework has an initial value of 0 and an upper limit of a constant. rand (•) is the rounding function based on the rounding principle.

[0088] m i The calculation rule is: if the first i The optimal firework is the one whose explosion produces superior offspring. m i Decrement by 1 if necessary, otherwise increment by 1. m i When less than 0, let m i The value equals 0, which is the optimal value for fireworks. m i It is not limited by the upper limit M, but the number of sparks has an upper limit. If the number of sparks exceeds the upper limit, the upper limit value is taken; if the number of sparks exceeds the upper limit, the upper limit value is taken.i This firework is not the optimal firework; its explosion produces better offspring. m i If it remains unchanged, otherwise increment by 1. m i When the upper limit is exceeded, it can be considered to be trapped in a local optimum. Chaotic mapping is then initiated to help it escape the local optimum region, and... m i Set to zero; Step 3: Perform an explosion to generate ordinary sparks and calculate the spark fitness. Determine if the maximum number of iterations has been reached. If so, output the optimal individual and end the algorithm; otherwise, proceed to the next step. Step 4: Select the best individual in the community as the offspring firework and update the adaptive coefficients; Step 5: For fireworks whose adaptive coefficients exceed the upper limit and are not globally optimal, use chaotic mapping to change their positions and set their adaptive coefficients to zero. Step 6: Update the fireworks position and adaptive coefficient, and continue with steps 2-6; Step 7: Determine if the termination condition is met. If it is, output the optimal solution and end the program; otherwise, repeat the above improved fireworks algorithm process to continue the optimization iteration. Step 8: Optimize the parameters obtained from the improved fireworks algorithm. L f , C f , C 1. k , L 1. Output.

[0089] Based on the design and experimental parameters of the wireless charging system, the output power is 5kW, and the minimum efficiency is 85%. The relative positions of the transmitting and receiving coils change dynamically, with the coupling coefficient varying between 0.15 and 0.25. The load resistance... R L The charging process changes continuously and can be controlled by the DC at the receiver. The DC conversion circuit undergoes impedance matching. The load resistance varies within a range of 10 Ω. 50 Ω. Select appropriate resonant inductors and capacitors based on the compensation coefficient. In the objective function, the weighting coefficients for power and efficiency are 1 and 1000, respectively.

[0090] The algorithm parameters in this implementation example are taken as follows: Particle Swarm Algorithm: The particle swarm size is SwarmSize = 10, the dimension is Dim = 3, and the maximum number of iterations is MaxIter = 10.

[0091] Fireworks explosion algorithm: Total number of fireworks fireworksNum = 10, dimension Dim = 3, total number of evolutions Max_iter = 10, initial radius r = 5, initial number of sparks S = 10, number of chaotic iterations hd = 5.

[0092] The improved fireworks algorithm proposed in this invention was used to optimize the parameters of the wireless power transmission system, and the results were compared with those of the particle swarm optimization algorithm. The energy coil inductance Lp = 364 μH, and the energy coil coupling coefficient kp = 0.241. Lf 1 / Lf 2:60μH, Cf 1 / Cf 2: 42.2nF, C 1 / C 2:8.14nF.

[0093] pass Figure 3 , Figure 4 and Figure 5 The results show that, compared with the traditional PSO algorithm (Particle Swarm Optimization algorithm), the present invention has a faster convergence speed and higher optimization accuracy.

[0094] like Figure 6 As shown, the present invention also provides a wireless power transmission system compensation circuit parameter optimization device 600, comprising: The model building module 601 is used to build a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system, and to perform AC impedance analysis on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. The target and constraint determination module 602 is used to determine the target parameters to be optimized, the corresponding objective function, and the constraint conditions based on the expressions for output power and transmission efficiency. The optimization module 603 is used to optimize parameters based on the target parameters, the target function, and the constraints, and in conjunction with the fireworks explosion algorithm, to determine the optimal parameters of the wireless power transmission system compensation circuit. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0095] The wireless power transmission system compensation circuit parameter optimization device provided in the above embodiments can realize the technical solutions described in the above wireless power transmission system compensation circuit parameter optimization method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above wireless power transmission system compensation circuit parameter optimization method embodiments, which will not be repeated here.

[0096] like Figure 7As shown, the present invention also provides an electronic device 700. The electronic device 700 includes a processor 701, a memory 702, and a display 703. Figure 7 Only some components of the electronic device 700 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0097] In some embodiments, memory 702 may be an internal storage unit of electronic device 700, such as a hard disk or memory of electronic device 700. In other embodiments, memory 702 may also be an external storage device of electronic device 700, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 700.

[0098] Furthermore, the memory 702 may include both internal storage units of the electronic device 700 and external storage devices. The memory 702 is used to store application software and various types of data installed on the electronic device 700.

[0099] In some embodiments, processor 701 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 702 or process data, such as the wireless power transmission system compensation circuit parameter optimization method of the present invention.

[0100] In some embodiments, display 703 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 703 is used to display information from electronic device 700 and to display a visual user interface. Components 701-703 of electronic device 700 communicate with each other via a system bus.

[0101] In some embodiments of the present invention, when the processor 701 executes the wireless power transmission system compensation circuit parameter optimization program in the memory 702, the following steps can be implemented: A compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed, and AC impedance analysis is performed on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. Based on the expressions for output power and transmission efficiency, the target parameters to be optimized, the corresponding objective function, and the constraints are determined. Based on the target parameters, the objective function, and the constraints, and combined with the fireworks explosion algorithm, the optimal parameters of the wireless power transmission system compensation circuit are determined. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0102] It should be understood that when the processor 701 executes the wireless power transmission system compensation circuit parameter optimization program in the memory 702, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0103] Furthermore, the embodiments of the present invention do not specifically limit the type of electronic device 700 mentioned. Electronic device 700 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, electronic device 700 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0104] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for optimizing the parameters of a wireless power transmission system compensation circuit provided by the methods described above, the method comprising: A compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed, and AC impedance analysis is performed on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. Based on the expressions for output power and transmission efficiency, the target parameters to be optimized, the corresponding objective function, and the constraints are determined. Based on the target parameters, the objective function, and the constraints, and combined with the fireworks explosion algorithm, the optimal parameters of the wireless power transmission system compensation circuit are determined. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

[0105] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0106] The above provides a detailed description of the method and apparatus for optimizing compensation circuit parameters in a wireless power transmission system provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for optimizing compensation circuit parameters in a wireless power transmission system, characterized in that, include: A compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed, and AC impedance analysis is performed on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. Based on the expressions for output power and transmission efficiency, the target parameters to be optimized, the corresponding objective function, and the constraints are determined. Based on the target parameters, the objective function, and the constraints, and combined with the fireworks explosion algorithm, the optimal parameters of the wireless power transmission system compensation circuit are determined. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

2. The method for optimizing compensation circuit parameters in a wireless power transmission system according to claim 1, characterized in that, Construct a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system, including: Based on the controlled source equivalent model of the compensation circuit of the wireless power transmission system, a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system is constructed. The equivalent model of the controlled source in the compensation circuit of the wireless power transmission system includes: in, Z in2 For the impedance of the receiving circuit, Z in1 The primary input impedance is... L 1 represents the self-inductance of the transmitting coil. C 1 is the resonant capacitor. Z 2eq The equivalent impedance of the receiving end. R 2 represents the internal resistance of the receiving coil. M For mutual inductance of coils, C f1 and C f2 These are the resonant compensation capacitors for the two coils, respectively. R 1 represents the internal resistance of the transmitting coil. L f1 For the resonant compensation inductance on the transmitting coil side, ω It is the system's resonant angular frequency. R L For load.

3. The method for optimizing compensation circuit parameters in a wireless power transmission system according to claim 2, characterized in that, The objective function is: in, Max ( f Let ) be the objective function. P out It is the output power of the compensation circuit in the wireless power transmission system. η It refers to the output efficiency of the compensation circuit in the wireless power transmission system. m It is the weighting coefficient of the output power. n It is the weighting coefficient for the efficiency mentioned.

4. The method for optimizing compensation circuit parameters in a wireless power transmission system according to claim 2, characterized in that, The target parameter that needs to be optimized is: in, x For the target parameters that need to be optimized, L f For including L f1 and L f2 , L f1 For the resonant compensation inductance on the transmitting coil side, L f2 For the resonant compensation inductance on the receiving coil side, L 2 represents the self-inductance of the receiving coil.

5. The method for optimizing compensation circuit parameters in a wireless power transmission system according to claim 2, characterized in that, The constraints include: The current in the compensation circuit of the wireless power transmission system is less than the maximum current that can be passed using Litz wire; The output power of the compensation circuit in the wireless power transmission system is within the target power range; The output power of the compensation circuit in the wireless power transmission system is greater than the preset minimum output power.

6. The method for optimizing compensation circuit parameters in a wireless power transmission system according to any one of claims 1-5, characterized in that, Based on the target parameters, the objective function, and the constraints, and combined with the fireworks explosion algorithm, the optimal parameters of the wireless power transmission system compensation circuit are determined through parameter optimization, including: Substitute the target parameters, the objective function, and the constraints into the fireworks explosion algorithm; After the fireworks explosion algorithm is initialized, the explosion radius and number of sparks of the fireworks are iteratively solved based on the adaptive coefficients of the fireworks. Based on the explosion radius and number of sparks of the fireworks, the explosion behavior is executed to generate sparks, and the spark fitness is calculated. When it is determined that it is necessary to continue iterating based on the spark fitness, the best individual in the community is selected as the offspring fireworks, and the adaptive coefficients corresponding to the offspring fireworks are updated. In each iteration, when the adaptive coefficient of the child firework exceeds the upper limit and the child firework is not the globally optimal firework, a chaotic mapping is used to change the position of the child firework and the adaptive coefficient of the child firework is set to zero. When the preset termination condition is met, the optimal firework is determined based on the offspring fireworks, and the optimal parameters of the wireless power transmission system compensation circuit are determined based on the optimal firework.

7. The method for optimizing compensation circuit parameters in a wireless power transmission system according to claim 6, characterized in that, The blast radius and number of sparks of fireworks are calculated based on the following formula: in, r The initial blast radius of the fireworks. S This represents the initial number of sparks. m i For the first i The adaptive coefficient of a firework. r i For the first i The blast radius of a firework S i For the first i The number of sparks produced by a single firework explosion m The adaptive coefficient for the initial fireworks. rand (·) is the rounding function based on the rounding principle; m i The calculation rule is: if the first i If the firework is the optimal firework, then the [number]th firework... i When a firework explosion produces a better generation of fireworks. m i Decrement by 1 if necessary, otherwise increment by 1; when... m i When less than 0, let m i Equal to 0; if the first i If the firework is not the optimal firework, then the... i When a firework explosion produces a better generation of fireworks. m i If it remains unchanged, otherwise increment by 1. m i When the upper limit is exceeded, chaotic mapping is activated to cause it to escape the local optimum region, and... m i Set to zero.

8. A device for optimizing compensation circuit parameters in a wireless power transmission system, characterized in that, include: The model building module is used to build a compensation circuit model corresponding to the compensation circuit of the wireless power transmission system, and to perform AC impedance analysis on the compensation circuit model to obtain expressions for the output power and transmission efficiency of the compensation circuit of the wireless power transmission system. The target and constraint determination module is used to determine the target parameters to be optimized, the corresponding objective function, and the constraint conditions based on the expressions for the output power and transmission efficiency. The optimization module is used to optimize parameters based on the target parameters, the objective function, and the constraints, and in conjunction with the fireworks explosion algorithm, to determine the optimal parameters of the wireless power transmission system compensation circuit. Among them, the fireworks explosion algorithm uses chaotic mapping to change the position of fireworks that are trapped in local optima.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps of the wireless power transmission system compensation circuit parameter optimization method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the wireless power transmission system compensation circuit parameter optimization method as described in any one of claims 1 to 7.

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