LCC-S type wireless power transmission system parameter optimization method and system

Abstract

The application provides an LCC-S type wireless power transmission system parameter optimization method and system, adopts a nested loop optimization structure, firstly performs global scanning on the sending end series inductance value through an outer loop, and finely adjusts the receiving end output current value through an inner loop under each inductance value; based on the system resonance frequency and the coil parameters, the resonance capacitance values are calculated, and then the capacitance voltage and the output power are respectively evaluated under the maximum and minimum coupling coefficient conditions; taking the sending end and receiving end resonance capacitance voltage tending to balance as the core target, the optimal solution is dynamically updated combined with the output power constraint condition, and finally the inductance, capacitance and current parameter combination which makes the capacitance pressure minimum and meets the power transmission requirement is output. Through systematic parameter collaborative optimization, the application effectively reduces the working voltage stress of the resonance capacitance, improves the system safety and engineering applicability, and at the same time ensures the stable and reliable output power in the coupling coefficient change range.

Description

Technical Field

[0001] This invention relates to the field of power supply and distribution technology, and more specifically, to a parameter optimization method and system for an LCC-S type wireless power transmission system. Background Technology

[0002] Wireless power transfer technology, as an innovative alternative to wired transmission, has been widely applied in fields such as consumer electronics and new energy electric vehicles due to its safety, convenience, and high integration. For example, Figure 1 The LCC-S type compensation circuit topology shown is a typical structure in wireless power transmission systems. It has advantages such as constant voltage output at the receiving end, constant current in the transmitting coil, and high efficiency and stability, and can meet the energy transmission needs in various scenarios.

[0003] like Figure 1 As shown, the LCC-S topology is a well-structured and functionally defined two-stage resonant system. The LCC network at the transmitter consists of a series resonant inductor L... f Parallel resonant capacitor C f Series resonant capacitor C p It consists of a transmitting coil, responsible for providing a stable magnetic field and achieving soft switching on the input side. The transmitting end is connected in series with a resonant inductor L. f and parallel resonant capacitor C f Parallel resonance and self-inductance L of the transmitting coil p and series resonant capacitor C p The series resonant coordinated operation will convert the input voltage U in This is converted into a high-frequency alternating current of a specific frequency, thereby exciting a high-frequency alternating current I with a basically constant amplitude in the transmitting coil. p .

[0004] The S-network at the receiver consists of a receiving coil and a series resonant capacitor C. s This structure is responsible for efficiently picking up energy. Wireless energy transfer is achieved between the transmitting and receiving coils via magnetic coupling (mutual inductance M). The receiving coil cuts the alternating magnetic flux generated by the transmitting end, thereby inducing a high-frequency AC voltage; this induced voltage interacts with the series resonant capacitor C. s Together they form an S-shaped resonant network, which significantly amplifies the induced current I in the circuit through resonance. s Subsequently, the increased alternating current is rectified into pulsating direct current by a rectifier bridge composed of diodes D1, D2, D3, and D4. Finally, the BOOST converter at the receiving end, acting as a key control unit, operates in current control mode. It precisely adjusts its switching duty cycle to transform and stabilize the rectified direct current, ultimately outputting it to the load R. L Current I oPrecise control ensures the system maintains high efficiency while meeting power requirements. The LCC-S topology achieves wireless energy transfer through the coordinated operation of resonant elements.

[0005] While the LCC-S topology offers the aforementioned advantages, it also introduces design complexity due to the large number of components, revealing several significant drawbacks in practical applications. First, the relatively large number of resonant inductors and capacitors in the system leads to inefficient parameter calculation and selection, increasing design time and cost. Second, as transmission distances increase or external conditions change, the coupling coefficient between the transmitter and receiver decreases, causing a drop in output power and failing to meet actual charging demands, thus limiting system adaptability. Furthermore, increasing the power input voltage to enhance output power significantly increases the voltage across the resonant capacitor, exceeding engineering safety limits and hindering capacitor selection and system expansion. Finally, the receiver typically uses a DC-DC regulator for constant voltage control to adjust output power, but the uncertainty of the output voltage makes it difficult to maintain high transmission efficiency while meeting power requirements, further impacting overall performance. These issues collectively reduce system reliability and limit engineering applicability; in particular, the high-voltage risk posed by the capacitors highlights the urgent need for systematic parameter optimization design methods.

[0006] Therefore, developing an optimized design method for resonant capacitor voltage bearing is of great significance for improving the security and engineering feasibility of wireless power transmission. Summary of the Invention

[0007] This invention addresses the technical problems existing in the prior art by providing a parameter optimization method and system for an LCC-S type wireless power transmission system. This method ensures that the resonant capacitor voltage is minimized and high output efficiency is maintained under the constraints of coupling coefficient and output power, thereby improving the security and engineering feasibility of wireless power transmission.

[0008] According to a first aspect of the present invention, a parameter optimization method for an LCC-S type wireless power transfer system is provided, comprising:

[0009] S1, Based on the current resonant inductance value, calculate the values ​​of each resonant capacitance at the system's transmitter and receiver.

[0010] S2, based on the combination of inductor and capacitor parameters obtained from S1, calculate the voltage of each resonant capacitor and the output power of the system under the two extreme conditions of maximum and minimum coupling coefficients respectively.

[0011] S3. Compare the calculation results of S2 with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, update the global optimal solution record.

[0012] S4 aims to balance the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor, dynamically adjusts the output current according to a preset accuracy, and executes S2~S4 repeatedly until the iteration stop condition is met.

[0013] S5 increments the resonant inductance value according to the preset precision and executes S1~S5 in a loop until the inductance optimization limit is reached, and outputs the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0014] Based on the above technical solution, the present invention can also be improved as follows.

[0015] Optionally, before step S1, a system initialization step is also included, specifically including:

[0016] Input system parameters and parameter constraint information, including: transmitter coil self-inductance. and the internal resistance of the transmitting coil Receiver coil self-inductance and the internal resistance of the receiving coil Resonant frequency Input voltage Load value Maximum and minimum output power constraints and Maximum and minimum coupling coefficient constraints and Receiver output current Output current optimization accuracy Optimization accuracy of resonant inductors Optimization of maximum resonant inductance Receiver capacitor voltage and transmitting end capacitor voltage Differential pressure control accuracy ;

[0017] Initialize system parameters, including: initialize the resonant inductor. Minimum inductance Initialize the optimal value of the resonant inductor Minimum inductance Initialize the optimal value of the output current. for Initialize the current iteration count n to 0, and initialize the transmitting end capacitor voltage. and the voltage of the receiving end capacitor maximum value It is infinite; among which, the optimal value of the output current is... initial value Calculated using the following formula:

[0018] .

[0019] Optionally, in step S1, the calculation is performed using the following formula:

[0020]

[0021] in, Angular frequency, The resonant frequency, The resonant inductance value at the transmitting end. For the self-inductance of the transmitting coil, For the self-inductance of the receiving coil, The value of the series capacitor at the transmitting end. The value of the parallel capacitor at the transmitting end. The value of the series capacitor at the receiving end. For output current, This is the initial value of the output current.

[0022] Optionally, in step S2, the calculation is performed using the following formula:

[0023]

[0024] Where M is the mutual inductance between the transmitting coil and the receiving coil, and K is the coupling coefficient. , The minimum coupling coefficient, The maximum coupling coefficient, Input current to the transmitting end, For the resonant current at the transmitting end, Input voltage to the transmitting end, The voltage of the parallel capacitor at the transmitting end. The voltage of the capacitor connected in series at the transmitting end. Let be the voltage across the receiving capacitor, and j be the imaginary part of the inductive reactance and capacitive reactance. The inductive reactance of the resonant inductor For capacitor Capacitive resistance, For capacitor Capacitive resistance, For capacitor Capacitive resistance, For output power, This is the internal resistance of the receiving coil.

[0025] Optionally, step S3 includes:

[0026] Obtain the maximum output power constraint value Minimum output power constraint value Differential pressure control accuracy The maximum values ​​of the optimal values ​​of the transmitting end capacitor voltage and the optimal values ​​of the receiving end capacitor voltage. If the voltage of the receiving end capacitor is Voltage of the series capacitor at the transmitting end and output power The current parameter combination is considered superior to the previously updated global optimal solution if the following conditions are met:

[0027]

[0028]

[0029]

[0030]

[0031] Update the optimal value of the resonant inductance using the current resonant inductance value. :

[0032]

[0033] Update the optimal output current value using the current output current value. :

[0034]

[0035] The optimal values ​​of the transmitting and receiving capacitor voltages are updated using the maximum values ​​of the current transmitting and receiving capacitor voltages. :

[0036] .

[0037] Optionally, step S4 includes:

[0038] Determine the voltage of the transmitting capacitor. With the voltage of the receiving end capacitor Size relationship:

[0039] like Then, the output current will be increased according to the preset current adjustment accuracy:

[0040] And update the value of the current iteration number n: ;

[0041] like The output current will then be reduced according to the preset current adjustment accuracy.

[0042] And update the value of the current iteration number n: ;

[0043] If satisfied , for Maximum number of optimization attempts, and If the updated output current is obtained, proceed to step S2; otherwise, proceed to step S5.

[0044] Optionally, step S5 includes:

[0045] According to the preset inductance adjustment precision Increase the resonant inductance value :

[0046]

[0047] If the following conditions are met: ,in To optimize the maximum value of the resonant inductance, jump to step S1 based on the updated resonant inductance value;

[0048] Otherwise, based on the current optimal value of the resonant inductance... The calculated final optimized parameter values ​​include at least the series capacitor at the transmitting end. Parallel capacitor at the transmitting end Receiver series capacitor Optimized output current value .

[0049] According to a second aspect of the present invention, an LCC-S type wireless power transfer system parameter optimization system is provided, comprising:

[0050] The capacitance calculation module is used to calculate the values ​​of each resonant capacitance at the transmitting and receiving ends of the system based on the current resonant inductance value.

[0051] The voltage and power calculation module is used to calculate the voltage of each resonant capacitor and the output power of the system under two extreme conditions: maximum and minimum coupling coefficient, based on the combination of inductance and capacitance parameters output by the capacitance calculation module.

[0052] The optimal solution update module is used to compare the calculation results of the voltage and power calculation modules with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, the global optimal solution record is updated.

[0053] The current cyclic optimization module is used to dynamically adjust the output current according to a preset accuracy with the goal of balancing the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor. It then cyclically executes the voltage and power calculation module, the optimal solution update module, and the current optimization module until the iteration stop condition is met.

[0054] The inductor cyclic optimization module is used to incrementally increase the resonant inductance value according to a preset precision and execute all modules in sequence until the inductor optimization limit is reached, and output the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0055] According to a third aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the processor is configured to implement the steps of the aforementioned LCC-S type wireless power transmission system parameter optimization method when executing a computer management program stored in the memory.

[0056] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer management program is stored, wherein when executed by a processor, the computer management program implements the steps of the aforementioned LCC-S type wireless power transmission system parameter optimization method.

[0057] This invention provides a parameter optimization method, system, electronic device, and storage medium for an LCC-S type wireless power transmission system. It employs a systematic nested loop optimization structure: the outer loop performs a global scan of the series inductor at the transmitting end, while the inner loop finely adjusts the output current at the receiving end for each fixed inductance value. This method evaluates the system state under two extreme conditions—maximum and minimum coupling coefficients—with one of its core objectives being to achieve a balance between the resonant capacitor voltages at the transmitting and receiving ends. Simultaneously, it strictly ensures that the output power meets preset constraints across the entire coupling range, thereby collaboratively optimizing multiple key parameters. Firstly, this invention significantly reduces the voltage stress on the resonant capacitor, greatly improving system safety and reducing the cost and difficulty of selecting high-voltage capacitors. Secondly, it maintains high output efficiency, effectively ensuring the stability and adaptability of the output power when facing changes in the coupling coefficient, solving the problem of power degradation in traditional systems with increasing transmission distance. Furthermore, by streamlining and algorithmizing the design process for complex parameters, it achieves a shift from experience-based reliance to automated global optimization, greatly improving design efficiency and accuracy, and providing solid support for the efficient and safe engineering application of LCC-S type systems. Attached Figure Description

[0058] Figure 1 This is a typical LCC-S type compensation circuit topology diagram;

[0059] Figure 2 A flowchart of a parameter optimization method for an LCC-S type wireless power transfer system provided by the present invention;

[0060] Figure 3 A flowchart of a parameter optimization method for an LCC-S type wireless power transfer system is provided for one embodiment;

[0061] Figure 4a and Figure 4b The graphs show the voltage value |Ucf| and output power value when the resonant frequency is 300kHz, the input square wave voltage is 300V, and the resonant inductance is 10μH, respectively, for a certain embodiment.

[0062] Figure 5aand Figure 5b The graphs show the voltage value |Ucf| and output power value under the optimized parameters obtained for a certain embodiment with a resonant frequency of 300kHz and an input square wave voltage of 300V.

[0063] Figure 6a and Figure 6b The graphs show the |Ucf| value and output power value under the optimized parameters obtained for a certain embodiment with a resonant frequency of 250kHz and an input square wave voltage of 400V.

[0064] Figure 7 A block diagram of a parameter optimization system for an LCC-S type wireless power transfer system provided by the present invention;

[0065] Figure 8 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention;

[0066] Figure 9 This is a schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. Detailed Implementation

[0067] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0068] Figure 1 The diagram shows a typical LCC-S type compensation circuit topology. The method provided by this invention is based on... Figure 1 The circuit topology shown represents an improvement.

[0069] Combination Figure 1 and Figure 2 As shown in the figure, an LCC-S type wireless power transfer system parameter optimization method provided by an embodiment of the present invention includes steps S1 to S5:

[0070] S1, Based on the current resonant inductance value, calculate the values ​​of each resonant capacitance at the system's transmitter and receiver.

[0071] S2, based on the combination of inductor and capacitor parameters obtained from S1, calculate the voltage of each resonant capacitor and the output power of the system under the two extreme conditions of maximum and minimum coupling coefficients respectively.

[0072] S3. Compare the calculation results of S2 with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, update the global optimal solution record.

[0073] S4 aims to balance the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor, dynamically adjusts the output current according to a preset accuracy, and executes S2~S4 repeatedly until the iteration stop condition is met.

[0074] S5 increments the resonant inductance value according to the preset precision and executes S1~S5 in a loop until the inductance optimization limit is reached, and outputs the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0075] Understandably, based on the deficiencies in the background technology, this invention proposes a parameter optimization method for an LCC-S type wireless power transmission system. This method employs a systematic nested loop optimization structure: the outer loop performs a global scan of the series inductor at the transmitting end, while the inner loop finely adjusts the output current at the receiving end for each fixed inductance value. This method evaluates the system state under two extreme conditions—maximum and minimum coupling coefficients—with one of its core objectives being to achieve a balance between the resonant capacitor voltages at the transmitting and receiving ends. Simultaneously, it strictly ensures that the output power meets preset constraints across the entire coupling range, thereby collaboratively optimizing multiple key parameters. This invention first significantly reduces the voltage stress on the resonant capacitor, greatly improving system safety and reducing the cost and difficulty of selecting high-voltage capacitors. Second, it maintains high output efficiency, effectively ensuring the stability and adaptability of the output power when facing changes in the coupling coefficient, solving the problem of power degradation in traditional systems as the transmission distance increases. Furthermore, by streamlining and algorithmizing the design process for complex parameters, it achieves a shift from relying on experience to automated global optimization, greatly improving design efficiency and accuracy, and providing solid support for the efficient and safe engineering application of LCC-S type systems.

[0076] In one possible embodiment, combining Figure 2 and Figure 3 As shown, before step S1, there is also a system initialization step, which specifically includes:

[0077] Input system parameters and parameter constraint information, including: transmitter coil self-inductance. and the internal resistance of the transmitting coil Receiver coil self-inductance and the internal resistance of the receiving coil Resonant frequency Input voltage Load value Maximum and minimum output power constraints and Maximum and minimum coupling coefficient constraints and Receiver output current Output current optimization accuracy Optimization accuracy of resonant inductors Optimization of maximum resonant inductance Receiver capacitor voltage and transmitting end capacitor voltage Differential pressure control accuracy ;

[0078] Initialize system parameters, including: initialize the resonant inductor. Minimum inductance Initialize the optimal value of the resonant inductor Minimum inductance Initialize the optimal value of the output current. for Initialize the current iteration count n to 0, and initialize the transmitting end capacitor voltage. and the voltage of the receiving end capacitor maximum value It is infinite; among which, the optimal value of the output current is... initial value Calculated using the following formula:

[0079] .

[0080] Understandably, the system initialization step, as a prerequisite for steps S1 to S5, firstly ensures the accuracy and reliability of the optimization process by fully defining the system's inherent parameters (such as coil inductance and internal resistance), operating conditions (input voltage and resonant frequency), and multiple constraints (power range, coupling coefficient range, and optimization accuracy). This allows subsequent iterative optimization to be based on realistic and comprehensive boundary conditions, avoiding optimization deviations caused by missing or unclear parameters from the outset. Secondly, by scientifically initializing key variables (such as setting the initial inductance value to minimum and the initial optimal voltage value to infinity), especially by calculating a reasonable initial value for the output current based on the maximum power constraint, an efficient search starting point and a clear convergence direction are set for the nested iterative optimization. This significantly improves the convergence speed and stability of the optimization algorithm and effectively prevents iterative divergence or getting trapped in local optima due to improper initial values. Finally, this highly structured initialization design greatly enhances the engineering practicality and programmable implementation capability of the entire optimization method, enabling it to be integrated into automated design platforms as a standard and reusable design tool. This lowers the implementation threshold and ensures the consistency and reliability of optimization results in different application scenarios.

[0081] In one possible embodiment, combining Figure 2 and Figure 3 As shown, in step S1, the calculation is performed using the following formula:

[0082]

[0083] in, Angular frequency, The resonant frequency, The resonant inductance value at the transmitting end. For the self-inductance of the transmitting coil, For the self-inductance of the receiving coil, The value of the series capacitor at the transmitting end. The value of the parallel capacitor at the transmitting end. The value of the series capacitor at the receiving end. For output current, This is the initial value of the output current.

[0084] In this embodiment, a set of precise resonant capacitance calculation formulas lays the physical foundation for the efficient and stable operation of the entire LCC-S system. The principle lies in strictly adhering to the circuit theory of parallel and series resonance, ensuring that the system operates at the set resonant frequency. The following steps optimize energy transfer. Specifically, the operating frequency is first converted into a calculation core using the angular frequency calculation formula, and then the parallel capacitor at the transmitting end is calculated. Make it with series inductor A resonance is formed on the input side, and then the series compensation capacitor of the transmitting coil is accurately calculated using a formula. This forms a complete LCC resonant network; simultaneously, a capacitor is connected in series at the receiving end. The calculation ensures that the receiving coil resonates individually at the same frequency, forming S-type compensation.

[0085] In one possible embodiment, combining Figure 2 and Figure 3 As shown, in step S2, the calculation is performed using the following formula:

[0086]

[0087] Where M is the mutual inductance between the transmitting coil and the receiving coil, and K is the coupling coefficient. , The minimum coupling coefficient, The maximum coupling coefficient, Input current to the transmitting end, For the resonant current at the transmitting end, Input voltage to the transmitting end, The voltage of the parallel capacitor at the transmitting end. The voltage of the capacitor connected in series at the transmitting end. Let be the voltage across the receiving capacitor, and j be the imaginary part of the inductive reactance and capacitive reactance. The inductive reactance of the resonant inductor For capacitor Capacitive resistance, For capacitor Capacitive resistance, For capacitor Capacitive resistance, For output power, This is the internal resistance of the receiving coil.

[0088] It is understandable that this embodiment lays the core evaluation foundation for the optimization algorithm through a complete AC steady-state circuit calculation model. Its principle lies in using complex (phasor) analysis to accurately describe the dynamic operating state of the LCC-S system under a specific coupling coefficient: such as... Figure 1 The system topology shown in this embodiment first calculates the mutual inductance M between coils based on the coupling coefficient K, and then uses a set of formulas containing the imaginary unit j (such as inductive reactance) to... Capacitive Solve for the input current separately. Coil current and the voltage of each resonant capacitor ( , , Meanwhile, by quantifying the transmission performance through the output power formula that includes mutual inductance terms, a complete closed-loop calculation chain for the system's electrical parameters is constructed.

[0089] In this embodiment, firstly, precise quantification of performance under multiple operating conditions is achieved by separately applying the minimum coupling coefficient. and maximum coupling coefficient The calculation parameters are adjusted to enable the optimization algorithm to accurately assess the capacitor voltage stress of the system at extreme distances (e.g., ...). Figure 4a Voltage before optimization Up to 9.6kV) and power output capability provide data support for subsequent optimization judgment; secondly, the phase relationship is captured through complex number operations to improve the optimization accuracy. The introduction of the imaginary part j in the formula enables the algorithm to comprehensively consider the amplitude and phase relationship of voltage and current, avoiding errors caused by simplified calculations, and ensuring the comparison of capacitor voltage (such as |). | and | |) and the reliability of power constraint verification; third, to provide a real-time feedback mechanism for dynamic optimization, this calculation model serves as the "state estimator" in the nested loop of this invention, each current or inductor After adjustment, new system state data can be generated quickly, driving the algorithm to converge towards voltage balance and power satisfaction, ultimately achieving a significant reduction and balance in capacitor voltage.

[0090] In one possible embodiment, combining Figure 2 and Figure 3 As shown, step S3 includes:

[0091] Obtain the maximum output power constraint value Minimum output power constraint value Differential pressure control accuracy The maximum values ​​of the optimal values ​​of the transmitting end capacitor voltage and the optimal values ​​of the receiving end capacitor voltage. If the voltage of the receiving end capacitor is Voltage of the series capacitor at the transmitting end and output power The current parameter combination is considered superior to the previously updated global optimal solution if the following conditions are met:

[0092]

[0093]

[0094]

[0095]

[0096] Update the optimal value of the resonant inductance using the current resonant inductance value. :

[0097]

[0098] Update the optimal output current value using the current output current value. :

[0099]

[0100] The optimal values ​​of the transmitting and receiving capacitor voltages are updated using the maximum values ​​of the current transmitting and receiving capacitor voltages. :

[0101] .

[0102] In this embodiment, a clear multi-condition criterion is set to guide the decision-making of the optimization direction. The principle is to establish a multi-objective optimization judgment criterion that takes into account capacitor voltage balance, power output requirements, and voltage stress minimization. This embodiment specifically defines four conditions for updating the global optimal solution, including the absolute difference of capacitor voltage being less than the control accuracy, the output power meeting the maximum and minimum constraints, and the current maximum capacitor voltage being better than the historical record. Only when these conditions are met simultaneously will the system update the optimal solution record with the current parameter combination.

[0103] This embodiment ensures that the optimization direction is always towards improving overall performance, and guides the system to eliminate voltage spikes from a single capacitor (such as) by using voltage balance conditions. Figure 4a Unoptimized (peak), prompting and Approaching (e.g.) Figure 5aAfter optimization, both voltages are approximately 5.4kV, achieving a balanced distribution of capacitor stress. This embodiment ensures practicality through power constraints, guaranteeing that the optimized result does not overload at the closest distance or underload at the farthest distance, enabling the system to operate reliably across the entire coupling range. This embodiment also achieves iterative optimization through a historical voltage comparison mechanism. This criterion-driven algorithm continuously searches for and records solutions with better capacitor voltages in a loop, thereby gradually approaching the globally optimal solution. This effectively avoids the optimization process getting trapped in local optima, ultimately outputting parameter design results that combine low voltage stress, high power stability, and good engineering feasibility.

[0104] In one possible embodiment, combining Figure 2 and Figure 3 As shown, step S4 includes:

[0105] Determine the voltage of the transmitting capacitor. With the voltage of the receiving end capacitor Size relationship:

[0106] like Then, the output current will be increased according to the preset current adjustment accuracy:

[0107] And update the value of the current iteration number n: ;

[0108] like The output current will then be reduced according to the preset current adjustment accuracy.

[0109] And update the value of the current iteration number n: ;

[0110] If satisfied , for Maximum number of optimization attempts, and If the updated output current is obtained, proceed to step S2; otherwise, proceed to step S5.

[0111] It is understandable that this embodiment establishes a directional feedback regulation mechanism based on voltage comparison. The principle is to determine the direction of voltage imbalance between the transmitting and receiving capacitors in real time within the inner loop, and dynamically adjust the output current accordingly to achieve voltage balance. Specifically, this embodiment first compares the absolute values ​​of the capacitor voltages (if | |>| | Then increase the output current Conversely, it decreases. ), and with preset precision The step size is iteratively adjusted, while the number of iterations n and the deviation from the initial value range are also considered. Set the loop termination condition to form a closed-loop control logic.

[0112] This embodiment achieves rapid convergence and balance of capacitor voltage through directional adjustment, effectively avoiding the risk of a single capacitor being subjected to excessively high voltage; it ensures optimization stability through precise step size control, and avoids parameter oscillation through fine-grained current adjustment, ensuring that the system smoothly moves toward the optimal operating point; it balances optimization efficiency and comprehensiveness through loop termination conditions, fully exploring the feasible current domain within a limited number of iterations, providing a reliable foundation for outer inductor optimization, and ultimately forming a collaborative optimization strategy.

[0113] In one possible embodiment, combining Figure 2 and Figure 3 As shown, step S5 includes:

[0114] According to the preset inductance adjustment precision Increase the resonant inductance value :

[0115]

[0116] If the following conditions are met: ,in To optimize the maximum value of the resonant inductance, jump to step S1 based on the updated resonant inductance value;

[0117] Otherwise, based on the current optimal value of the resonant inductance... The calculated final optimized parameter values ​​include at least the series capacitor at the transmitting end. Parallel capacitor at the transmitting end Receiver series capacitor Optimized output current value .

[0118] In this embodiment, step S5 controls the outer loop, and a systematic step-scan mechanism is used to achieve global optimization of the resonant inductor parameters. This embodiment completes the current inductance value... After optimization of the corresponding inner layer current, according to the preset accuracy Increment the inductance value and determine if the optimization limit has been reached. If the upper limit is not reached, return to step S1 to recalculate the capacitor parameters and start a new round of inner-layer optimization; if the upper limit has been reached, use the recorded optimal inductance value. Output the final optimized set of parameters (including the series capacitor at the transmitting end). Parallel capacitor at the transmitting end Receiver series capacitor Optimized output current value This forms a closed-loop logic for hierarchical optimization.

[0119] The technical effects of the present invention will now be verified using a specific implementation scenario.

[0120] like Figure 4a and Figure 4b In a specific implementation scenario where parameter optimization was not employed, the control variables were set to a resonant frequency of 300kHz and an input square wave voltage of 300V. The obtained system resonant capacitor operating voltage | UCF | and output power values, other parameters include: , , , , , , Seeking , , , What was obtained , The output power and capacitor voltage change with the coupling coefficient K Values ​​such as Figure 4a and Figure 4b As shown, capacitor voltage The maximum voltage is 850V. The output power is highest at the closest end, at 8734.77W, and lowest at the farthest end, at 2878.07W. The output power meets the requirements; however, the maximum resonant capacitor exceeds 9.6kV, making capacitor selection and power expansion difficult, and thus failing to adequately meet the needs of engineering applications.

[0121] like Figure 5a and Figure 5b The two figures represent the system resonant capacitor operating voltages under optimized parameters obtained by using the method of this invention in a specific implementation scenario, with a control variable resonant frequency of 300kHz and an input square wave voltage of 300V. And output power value, other parameters include: , , , , , , , , , , , , , , The optimized parameter values ​​obtained by the method of this invention are , , , , The calculated , The output power and resonant capacitor operating voltage change with the coupling coefficient K. Values ​​such as Figure 5a As shown, the operating voltage of the resonant capacitor The maximum voltage is 850V; the output power is highest at the closest end, at 5000W; and lowest at the farthest end, at 1636.2W. The optimization results obtained by the method of this invention, under the constraint of the coupling coefficient, can meet the output power requirements and ensure that the voltages of each resonant capacitor are relatively small.

[0122] like Figure 6a and Figure 6b These are the system resonant capacitor operating voltage and output power values ​​obtained under optimized parameters in a specific implementation scenario using the method of this invention, with a control variable resonant frequency of 250kHz and an input square wave voltage of 400V. Other parameters include: , , , , , , , , , , , , , , The optimized parameter values ​​obtained by the method of this invention are , , , , The calculated , The output power and resonant capacitor operating voltage change with the coupling coefficient K. Values ​​such as Figure 6a As shown, the operating voltage of the resonant capacitor The maximum voltage is 850V. The output power is highest at the closest end, at 5000W, and lowest at the farthest end, at 1631.17W. The optimization results obtained by the method of this invention can meet the output power requirements and have relatively low voltages for each resonant capacitor under the constraint of the coupling coefficient.

[0123] Figure 7 A structural diagram of a parameter optimization system for an LCC-S type wireless power transfer system provided in an embodiment of the present invention is shown below. Figure 7 As shown, an LCC-S type wireless power transfer system parameter optimization system includes a capacitance calculation module, a voltage and power calculation module, an optimal solution update module, a current cyclic optimization module, and an inductance cyclic optimization module, wherein:

[0124] The capacitance calculation module is used to calculate the values ​​of each resonant capacitance at the transmitting and receiving ends of the system based on the current resonant inductance value.

[0125] The voltage and power calculation module is used to calculate the voltage of each resonant capacitor and the output power of the system under two extreme conditions: maximum and minimum coupling coefficient, based on the combination of inductance and capacitance parameters output by the capacitance calculation module.

[0126] The optimal solution update module is used to compare the calculation results of the voltage and power calculation modules with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, the global optimal solution record is updated.

[0127] The current cyclic optimization module is used to dynamically adjust the output current according to a preset accuracy with the goal of balancing the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor. It then cyclically executes the voltage and power calculation module, the optimal solution update module, and the current optimization module until the iteration stop condition is met.

[0128] The inductor cyclic optimization module is used to incrementally increase the resonant inductance value according to a preset precision and execute all modules in sequence until the inductor optimization limit is reached, and output the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0129] It is understood that the LCC-S type wireless power transmission system parameter optimization system provided by the present invention corresponds to the LCC-S type wireless power transmission system parameter optimization method provided in the foregoing embodiments. The relevant technical features of the LCC-S type wireless power transmission system parameter optimization system can be referred to the relevant technical features of the LCC-S type wireless power transmission system parameter optimization method, and will not be repeated here.

[0130] Please see Figure 8 , Figure 8 This is a schematic diagram illustrating an embodiment of the electronic device provided in this invention. For example... Figure 8 As shown, this embodiment of the invention provides an electronic device 800, including a memory 810, a processor 820, and a computer program 811 stored in the memory 810 and executable on the processor 820. When the processor 820 executes the computer program 811, it performs the following steps:

[0131] S1, Based on the current resonant inductance value, calculate the values ​​of each resonant capacitance at the system's transmitter and receiver.

[0132] S2, based on the combination of inductor and capacitor parameters obtained from S1, calculate the voltage of each resonant capacitor and the output power of the system under the two extreme conditions of maximum and minimum coupling coefficients respectively.

[0133] S3. Compare the calculation results of S2 with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, update the global optimal solution record.

[0134] S4 aims to balance the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor, dynamically adjusts the output current according to a preset accuracy, and executes S2~S4 repeatedly until the iteration stop condition is met.

[0135] S5 increments the resonant inductance value according to the preset precision and executes S1~S5 in a loop until the inductance optimization limit is reached, and outputs the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0136] Please see Figure 9 , Figure 9 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided by the present invention. (See diagram below.) Figure 9 As shown, this embodiment provides a computer-readable storage medium 900 on which a computer program 911 is stored. When the computer program 911 is executed by a processor, it performs the following steps:

[0137] S1, Based on the current resonant inductance value, calculate the values ​​of each resonant capacitance at the system's transmitter and receiver.

[0138] S2, based on the combination of inductor and capacitor parameters obtained from S1, calculate the voltage of each resonant capacitor and the output power of the system under the two extreme conditions of maximum and minimum coupling coefficients respectively.

[0139] S3. Compare the calculation results of S2 with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, update the global optimal solution record.

[0140] S4 aims to balance the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor, dynamically adjusts the output current according to a preset accuracy, and executes S2~S4 repeatedly until the iteration stop condition is met.

[0141] S5 increments the resonant inductance value according to the preset precision and executes S1~S5 in a loop until the inductance optimization limit is reached, and outputs the optimal inductance value, output current, and values ​​of each resonant capacitor.

[0142] This invention provides a parameter optimization method, system, and storage medium for an LCC-S type wireless power transfer system. By constructing a technical framework centered on nested loop optimization, it first ensures the accuracy of the optimization basis through systematic parameter input and initialization. Then, based on rigorous resonance theory, it calculates capacitor parameters and system states under multiple operating conditions, forming a precise evaluation basis. By establishing multi-objective criteria for capacitor voltage balance and power constraints to guide the optimization direction, and utilizing the synergistic mechanism of dynamic current adjustment and inductor step scanning, it ultimately achieves three significant technical effects:

[0143] First, it systematically improves design efficiency and global optimization, transforming the experience-based trial-and-error process into a programmable automatic optimization process, significantly shortening the R&D cycle;

[0144] Secondly, we directly tackle the high-voltage bottleneck of capacitors, significantly reducing the voltage of key capacitors through optimization (e.g., ...). Figure 2 Unoptimized 9.6kV reduced to Figure 3 The optimized 5.4kV voltage is balanced, significantly improving safety and reducing component costs.

[0145] Third, it ensures the reliability of the system under all operating conditions, ensuring that the output power stably meets the constraints when the coupling coefficient changes, thereby enhancing the practicality and robustness of the engineering.

[0146] The three technical effects of this invention together constitute a highly efficient, safe, and reliable parameter design solution, breaking through the core obstacle to the high-performance engineering application of the LCC-S system.

[0147] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0148] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0149] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0150] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0151] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0152] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0153] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A parameter optimization method for an LCC-S type wireless power transfer system, characterized in that, include: S1, based on the current resonant inductance value, calculate the values ​​of each resonant capacitance at the system's transmitter and receiver using the following formula: in, Angular frequency, The resonant frequency, The resonant inductance value at the transmitting end. For the self-inductance of the transmitting coil, For the self-inductance of the receiving coil, The value of the series capacitor at the transmitting end. The value of the parallel capacitor at the transmitting end. The value of the series capacitor at the receiving end. For output current, This is the initial value of the output current; S2, based on the inductor and capacitor parameter combination obtained from S1, calculates the voltage of each resonant capacitor and the output power of the system under the two extreme conditions of maximum and minimum coupling coefficient using the following formula: Where M is the mutual inductance between the transmitting coil and the receiving coil, and K is the coupling coefficient. , The minimum coupling coefficient, The maximum coupling coefficient, Input current to the transmitting end, For the resonant current at the transmitting end, Input voltage to the transmitting end, The voltage of the parallel capacitor at the transmitting end. The voltage of the capacitor connected in series at the transmitting end. Let be the voltage across the receiving capacitor, and j be the imaginary part of the inductive reactance and capacitive reactance. The inductive reactance of the resonant inductor For capacitor Capacitive resistance, For capacitor Capacitive resistance, For capacitor Capacitive resistance, For output power, The internal resistance of the receiving coil; S3 compares the calculation results of S2 with the preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, the global optimal solution record is updated; including: Obtain the maximum output power constraint value Minimum output power constraint value Differential pressure control accuracy The maximum values ​​of the optimal values ​​of the transmitting end capacitor voltage and the optimal values ​​of the receiving end capacitor voltage. If the voltage of the receiving end capacitor is Voltage of the series capacitor at the transmitting end and output power The current parameter combination is considered superior to the previously updated global optimal solution if the following conditions are met: Update the optimal value of the resonant inductance using the current resonant inductance value. : Update the optimal output current value using the current output current value. : The optimal values ​​of the transmitting and receiving capacitor voltages are updated using the maximum values ​​of the current transmitting and receiving capacitor voltages. : ； S4 aims to balance the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor, dynamically adjusts the output current according to a preset accuracy, and executes S2~S4 repeatedly until the iteration stop condition is met. S5 increments the resonant inductance value according to the preset precision and executes S1~S5 in a loop until the inductance optimization limit is reached, and outputs the optimal inductance value, output current, and values ​​of each resonant capacitor.

2. The parameter optimization method for an LCC-S type wireless power transfer system according to claim 1, characterized in that, Before step S1, there is also a system initialization step, which specifically includes: Input system parameters and parameter constraint information, including: transmitter coil self-inductance. and the internal resistance of the transmitting coil Receiver coil self-inductance and the internal resistance of the receiving coil Resonant frequency Input voltage Load value Maximum and minimum output power constraints and Maximum and minimum coupling coefficient constraints and Receiver output current Output current optimization accuracy Optimization accuracy of resonant inductors Optimization of maximum resonant inductance Receiver capacitor voltage and transmitting end capacitor voltage Differential pressure control accuracy ; Initialize system parameters, including: initialize the resonant inductor. Minimum inductance Initialize the optimal value of the resonant inductor Minimum inductance Initialize the optimal value of the output current. for Initialize the voltage of the transmitting end capacitor. and the voltage of the receiving end capacitor maximum value It is infinite; among which, the optimal value of the output current is... initial value Calculated using the following formula: 。 3. The parameter optimization method for an LCC-S type wireless power transfer system according to claim 1 or 2, characterized in that, Step S4 includes: Determine the voltage of the transmitting capacitor. With the voltage of the receiving end capacitor Size relationship: like Then, the output current is increased according to the preset current adjustment accuracy: And update the value of the current iteration number n: ; like The output current will then be reduced according to the preset current adjustment accuracy. And update the value of the current iteration number n: ; If satisfied , for Maximum number of optimization attempts, and If the updated output current is obtained, proceed to step S2; otherwise, proceed to step S5.

4. The parameter optimization method for an LCC-S type wireless power transfer system according to claim 3, characterized in that, Step S5 includes: According to the preset inductance adjustment precision Increase the resonant inductance value : If the following conditions are met: ,in To optimize the maximum value of the resonant inductance, jump to step S1 based on the updated resonant inductance value; Otherwise, based on the current optimal value of the resonant inductance... The final optimized parameter values ​​are calculated, including at least the series capacitor at the transmitting end. Parallel capacitor at the transmitting end Receiver series capacitor Optimized output current value .

5. A parameter optimization system for an LCC-S type wireless power transfer system, characterized in that, include: The capacitance calculation module is used to calculate the values ​​of each resonant capacitance at the system's transmitter and receiver based on the current resonant inductance value using the following formula: in, Angular frequency, The resonant frequency, The resonant inductance value at the transmitting end. For the self-inductance of the transmitting coil, For the self-inductance of the receiving coil, The value of the series capacitor at the transmitting end. The value of the parallel capacitor at the transmitting end. The value of the series capacitor at the receiving end. For output current, This is the initial value of the output current; The voltage and power calculation module is used to calculate the voltage of each resonant capacitor and the output power of the system under two extreme operating conditions—maximum and minimum coupling coefficient—based on the combination of inductance and capacitance parameters output by the capacitance calculation module, using the following formula: Where M is the mutual inductance between the transmitting coil and the receiving coil, and K is the coupling coefficient. , The minimum coupling coefficient, The maximum coupling coefficient, Input current to the transmitting end, For the resonant current at the transmitting end, Input voltage to the transmitting end, The voltage of the parallel capacitor at the transmitting end. The voltage of the capacitor connected in series at the transmitting end. Let be the voltage across the receiving capacitor, and j be the imaginary part of the inductive reactance and capacitive reactance. The inductive reactance of the resonant inductor For capacitor Capacitive resistance, For capacitor Capacitive resistance, For capacitor Capacitive resistance, For output power, The internal resistance of the receiving coil; The optimal solution update module compares the calculation results from the voltage and power calculation modules with preset power constraints and capacitor voltage balance targets. If the current parameter combination is better, the global optimal solution record is updated; this includes: Obtain the maximum output power constraint value Minimum output power constraint value Differential pressure control accuracy The maximum values ​​of the optimal values ​​of the transmitting end capacitor voltage and the optimal values ​​of the receiving end capacitor voltage. If the voltage of the receiving end capacitor is Voltage of the series capacitor at the transmitting end and output power The current parameter combination is considered superior to the previously updated global optimal solution if the following conditions are met: Update the optimal value of the resonant inductance using the current resonant inductance value. : Update the optimal output current value using the current output current value. : The optimal values ​​of the transmitting and receiving capacitor voltages are updated using the maximum values ​​of the current transmitting and receiving capacitor voltages. : ； The current cyclic optimization module is used to dynamically adjust the output current according to a preset accuracy with the goal of balancing the voltage of the transmitting end capacitor and the voltage of the receiving end capacitor. It then cyclically executes the voltage and power calculation module, the optimal solution update module, and the current optimization module until the iteration stop condition is met. The inductor cyclic optimization module is used to incrementally increase the resonant inductance value according to a preset precision and execute all modules in sequence until the inductor optimization limit is reached, and output the optimal inductance value, output current, and values ​​of each resonant capacitor.

6. An electronic device, characterized in that, It includes a memory and a processor, wherein the processor is used to execute computer management programs stored in the memory to implement the steps of the parameter optimization method for an LCC-S type wireless power transmission system as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, It stores a computer management program, which, when executed by a processor, implements the steps of the parameter optimization method for an LCC-S type wireless power transmission system as described in any one of claims 1-4.

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