Anti-offset wireless charging system magnetic coupling mechanism and optimization design method

Abstract

The invention discloses an anti-offset wireless charging system magnetic coupling mechanism and an optimization design method. A transmitting end of the magnetic coupling mechanism adopts a coil of a bipolar reverse high anti-offset structure, and a receiving end adopts a circular plane spiral coil to reduce the weight of a vehicle-mounted end energy pickup mechanism; the transmitting end bipolar reverse high-anti-offset structure is formed by winding uninterrupted litz wires, an outer ring coil and an inner ring coil are located on the same plane and concentric, and the manufacturing directions are opposite, so that the bipolar reverse characteristic is formed. The transmitting end bipolar reverse high anti-offset structure coil also adopts an anti-offset particle swarm optimization design method considering receiving end plane movement mutual inductance smoothness and coil wire length, and under the condition of considering the transmitting end coil wire length, the magnetic field coupling uniformity in the 360-degree plane movement process of the receiving end is improved. The magnetic coupling mechanism provided by the invention has good anti-offset performance, and still has stable magnetic field coupling characteristics in a large-range moving process of a receiving end.

Description

Technical Field

[0001] The present invention relates to the field of wireless power transmission, and in particular to a magnetic coupling mechanism and an optimization design method for an anti-drift wireless charging system. Background Art

[0002] Wireless power transmission technology can effectively improve the flexibility and safety of power supply for electric vehicles, drones, inspection robots, etc., and realize energy transmission across the air through magnetic field coupling of the magnetic coupling mechanism at the transmitting and receiving ends, which can further improve the convenience of power supply for electric vehicles, drones, inspection robots, etc., and has broad application prospects.

[0003] The magnetic coupling mechanism involved in the system is a key part of wireless energy replenishment. Due to the uncertainty of the position of loads such as electric vehicles, drones, and inspection robots, the transceiver will inevitably have a certain degree of horizontal position offset. In traditional wireless charging systems, the position offset of the magnetic coupling mechanism at the transceiver can easily cause a significant drop in system performance. Therefore, it is necessary to propose an anti-offset optimization design method for the magnetic coupling mechanism to fundamentally improve the system's anti-offset performance. Summary of the Invention

[0004] To overcome the shortcomings of the existing technology, the present invention proposes a magnetic coupling mechanism and optimized design method for an anti-drift wireless charging system. The transmitting end of the magnetic coupling mechanism utilizes a bipolar reverse coil with a high anti-drift structure, while the receiving end utilizes a circular planar spiral coil to reduce the weight of the on-board energy pickup mechanism. The transmitting end bipolar reverse coil with high anti-drift structure is wound with uninterrupted Litz wire. The outer and inner coils are coplanar and concentric, but are manufactured in opposite directions, forming a bipolar reverse characteristic. The transmitting end bipolar reverse coil with high anti-drift structure also utilizes an anti-drift particle swarm optimization design method that considers the smoothness of the receiving end's planar mutual inductance and the coil length. This improves the uniformity of magnetic field coupling during 360-degree planar movement of the receiving end, while taking into account the coil length of the transmitting end. The magnetic coupling mechanism proposed in the present invention has excellent anti-drift performance and maintains stable magnetic field coupling characteristics during large-scale movement of the receiving end.

[0005] To achieve the above objectives, the present invention first proposes a magnetic coupling mechanism and an optimization design method for an anti-deviation wireless charging system. The transmitting end of the magnetic coupling mechanism adopts a coil with a bipolar reverse high anti-deviation structure, and the receiving end adopts a circular planar spiral coil to reduce the weight of the on-board energy pickup mechanism; the transmitting end bipolar reverse high anti-deviation structure is wound with uninterrupted Litz wire, the outer ring coil and the inner ring coil are in the same plane and have the same center, and the inner and outer ring coils are manufactured in opposite directions, forming a bipolar reverse feature.

[0006] Furthermore, in the aforementioned anti-deviation wireless charging system magnetic coupling mechanism and optimization design method, the transmitter-end bipolar reverse high-deviation structure coil is manufactured using a magnetic coupling mechanism anti-deviation particle swarm optimization design method that takes into account the mutual inductance smoothness of the receiving end planar movement and the coil wire length. This improves the magnetic field coupling uniformity during the 360-degree planar movement of the receiving end while taking into account the coil wire length of the transmitting end.

[0007] In the magnetic coupling mechanism, TX1 represents the outer coil of the transmitting coil, and TX2 represents the inner coil of the transmitting coil. The two are located in the same plane and TX2 is inside TX1. out is the number of turns of TX1 coil, N in is the number of turns of TX2 coil, N is the number of turns of receiving coil, R out is the outer radius of the TX1 coil, R in is the outer radius of the TX2 coil, r s is the radius of the receiving coil, f M (N out ,N in ,r in ) is the objective function, h is the transmission distance between the transmitting and receiving coils. M is the total mutual inductance between the transmitting coil (including the outer and inner loop coils) and the receiving coil;

[0008] The objective function of the anti-drift particle swarm optimization design method for the magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length is as follows:

[0009] The interval tolerance coefficient α (0<α≤1) is introduced as a system design parameter, and its physical meaning represents the control threshold of the system's tolerance to deviation. max is the upper limit, α*M max As the lower limit, the area within this range is defined as the better charging area. Therefore, when α*M max The larger the offset X0 corresponding to the value, the wider the offset range that the system can tolerate, which means that the system's adaptability to position errors is enhanced. Therefore, the objective function can be defined as:

[0010] f M =max{x≥0|M(x)=α*M max}

[0011] The constraints of the particle swarm optimization design method for the anti-drift magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length are as follows:

[0012] ① Anti-drift capability constraint: To prevent excessive suppression of the mutual inductance at the center and exceeding the mutual inductance fluctuation limit, the mutual inductance at the center can be limited to a certain range: M(0)≥α*M max .

[0013] ② Line length constraint: To ensure the feasibility of the algorithm under different resonator size designs, this paper defines a line length relative tolerance coefficient β to dynamically define the allowable range of line length:

[0014] (1-β)L≤L≤(1+β)L

[0015] Based on the physical characteristics of the coil system and manufacturing constraints, the total wire length can be expressed as:

[0016]

[0017] Where d is the diameter of the Litz wire. Number of turns of the outer coil N out 、Number of turns of inner coil in and the initial radius R of the inner coil in The number of turns N of the outer ring coil is determined based on the wire length. out 、Number of turns of inner coil in and the initial radius R of the inner coil in The constraints for the optimization of the magnetic coupling mechanism are obtained by comprehensive analysis.

[0018]

[0019] Furthermore, the anti-drift wireless charging system magnetic coupling mechanism and optimization design method, the anti-drift particle swarm optimization design method of the magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length, specifically comprises the following steps:

[0020] Step 1: Set a set of magnetic coupling mechanism parameters N out 、N in 、R in Set as a particle P i When particles move within the solution space, the coil parameters change. A certain number of particles are randomly generated within the feasible region, each with a random position and initial velocity. An optimal position for the group is defined, -X0. -X0 is the outer boundary of the ±5% fluctuation range of the mutual inductance M and is initialized to 0.

[0021] During each iteration, the optimal solution -X0 is determined by comparing the optimal position of each individual particle with the optimal position of the entire particle swarm. A smaller -X0 indicates a larger area of small-scale fluctuations in mutual inductance. During each iteration, different parameter groups may have the same objective function value. In this case, the cable usage of these parameter groups is compared, and the group with the lowest cable usage is selected as the final result of that iteration.

[0022] Step 3: Compare the result of this iteration with the optimal solution of previous iterations and update the overall optimal solution.

[0023] Step 4 updates the particles according to the velocity and position update formula, that is, updates the parameter group parameters to prepare for the next iteration. The formula is as follows:

[0024]

[0025] in, is particle P i The speed at step n, is particle P i At the position of step n-1, w is the inertia weight, c1 and c2 are learning factors, and r1 and r2 are random numbers in the range [0,1]. is particle P i The location of step n+1, is particle P i The location of step n.

[0026] In order to overcome the problem that the algorithm is prone to falling into local optimal solutions, adaptive inertia weight is used for improvement. The calculation formula of inertia weight w is as follows:

[0027]

[0028] where w min and w max The minimum and maximum inertia coefficients are given in advance, which are generally 0.3 and 0.8. The average fitness of all particles at the nth iteration;

[0029]

[0030] The minimum fitness of all particles at the nth iteration:

[0031]

[0032] Each particle updates its speed for the next iteration based on the current optimal position of the group and its own position.

[0033] Step 5 outputs the optimal parameter group according to the iterative results, obtains the optimized magnetic coupling mechanism parameters, and obtains the optimal N out 、N in 、R in , complete the design.

[0034] Furthermore, in the aforementioned anti-offset wireless charging system magnetic coupling mechanism and optimization design method, the total mutual inductance M between the transmitting coil (including the outer loop coil and the inner loop coil) and the receiving coil is calculated as follows:

[0035] The mutual inductance between the i-th turn of coil TX1 and the k-th turn of RX is M ik , then the mutual inductance M1 can be expressed as

[0036]

[0037] The mutual inductance M2 between coils TX2 and RX can be expressed as

[0038]

[0039] Since TX1 and TX2 are made in opposite directions, the total mutual inductance M is

[0040]

[0041] Furthermore, in the magnetic coupling mechanism and optimization design method of the anti-deviation wireless charging system, the outer ring coil and the inner ring coil with opposite bipolarity at the transmitting end adopt a concentric and closely wound circular planar spiral coil structure.

[0042] Furthermore, in the magnetic coupling mechanism and optimization design method of the anti-deviation wireless charging system, the magnetic coupling mechanisms of the transmitting and receiving ends both adopt a lightweight coil structure without a magnetic core, and because both the transmitting and receiving ends adopt a circular coil structure, they have the same anti-deviation performance within 360 degrees in the plane.

[0043] Beneficial effect: Compared with the prior art, the technical solution of the present invention has the following beneficial effects: In order to solve the anti-deviation problem of the wireless charging system, this patent adopts a coreless circular planar spiral coil at the receiving end to reduce the weight of the energy pickup mechanism at the vehicle end, and adopts a bipolar reverse high anti-deviation structure coil at the transmitting end. The bipolar reverse high anti-deviation structure coil at the transmitting end also adopts an anti-deviation particle swarm optimization design method that takes into account the smoothness of the receiving end's planar movement mutual inductance and the coil wire length. On the premise of keeping the wire usage close, by optimizing multiple magnetic coupling mechanism design parameters, the anti-deviation capability of the magnetic coupling transceiver within a range of 360 degrees in the horizontal plane is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described and explained below in conjunction with the accompanying drawings.

[0045] Figure 1 This is a schematic diagram of the structure of the bipolar reverse magnetic coupling mechanism proposed by the present invention.

[0046] Figure 2 This is a flow chart of the particle swarm optimization design method for the magnetic coupling mechanism anti-drift considering the smoothness of the receiving end plane movement mutual inductance and the coil length proposed by the present invention.

[0047] Figure 3 This is the flow chart for calculating the total mutual inductance of the transmitting and receiving ends of the bipolar reverse phase magnetic coupling mechanism proposed in the present invention.

[0048] Figure 4 The magnetic coupling mechanism and method proposed in this patent optimizes and improves the anti-deviating ability under different line length constraints. DETAILED DESCRIPTION

[0049] The technical solutions of the present invention will be more clearly and completely explained below through description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0050] The present invention proposes a magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system. Figure 1 The figure shows a schematic diagram of the structure of a bipolar reverse magnetic coupling mechanism. The transmitting end of the magnetic coupling mechanism adopts a bipolar reverse high-anti-offset structure coil, and the receiving end adopts a circular planar spiral coil to reduce the weight of the on-board energy pickup mechanism. The bipolar reverse high-anti-offset structure of the transmitting end is wound with uninterrupted Litz wire. The outer ring coil and the inner ring coil are in the same plane and have the same center. The inner and outer ring coils are manufactured in opposite directions, forming a bipolar reverse feature.

[0051] Furthermore, in the magnetic coupling mechanism and optimization design method of the anti-deviation wireless charging system, the transmitting end bipolar reverse high anti-deviation structure coil is manufactured, and the anti-deviation particle swarm optimization design method of the magnetic coupling mechanism is adopted, which takes into account the smoothness of the mutual inductance of the receiving end plane movement and the length of the coil line. In addition, the magnetic field coupling uniformity during the 360-degree plane movement of the receiving end is improved while taking into account the length of the transmitting end coil line. Figure 2 This is a flow chart of the particle swarm optimization design method for the anti-offset magnetic coupling mechanism proposed by the present invention, which takes into account the smoothness of the receiving end's planar movement mutual inductance and the coil length.

[0052] In the magnetic coupling mechanism, TX1 represents the outer coil of the transmitting coil, and TX2 represents the inner coil of the transmitting coil. The two are located in the same plane and TX2 is inside TX1. out is the number of turns of TX1 coil, N in is the number of turns of TX2 coil, N is the number of turns of receiving coil, R out is the outer radius of the TX1 coil, R in is the outer radius of the TX2 coil, r s is the radius of the receiving coil, f M (N out ,N in ,r in ) is the objective function, h is the transmission distance between the transmitting and receiving coils. M is the total mutual inductance between the transmitting coil (including the outer and inner loop coils) and the receiving coil;

[0053] The objective function of the anti-drift particle swarm optimization design method for the magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length is as follows:

[0054] The interval tolerance coefficient α (0<α≤1) is introduced as a system design parameter, and its physical meaning represents the control threshold of the system's tolerance to deviation. maxis the upper limit, α*M max As the lower limit, the area within this range is defined as the better charging area. Therefore, when α*M max The larger the offset X0 corresponding to the value, the wider the offset range that the system can tolerate, which means that the system's adaptability to position errors is enhanced. Therefore, the objective function can be defined as:

[0055] f M =max{x≥0|M(x)=α*M max}

[0056] The constraints of the particle swarm optimization design method for the anti-drift magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length are as follows:

[0057] ① Anti-drift capability constraint: To prevent excessive suppression of the mutual inductance at the center and exceeding the mutual inductance fluctuation limit, the mutual inductance at the center can be limited to a certain range: M(0)≥α*M max .

[0058] ② Line length constraint: To ensure the feasibility of the algorithm under different resonator size designs, this paper defines a line length relative tolerance coefficient β to dynamically define the allowable range of line length:

[0059] (1-β)L≤L≤(1+β)L

[0060] Based on the physical characteristics of the coil system and manufacturing constraints, the total wire length can be expressed as:

[0061]

[0062] Where d is the diameter of the Litz wire. Number of turns of the outer coil N out 、Number of turns of inner coil in and the initial radius R of the inner coil in The number of turns N of the outer ring coil is determined based on the wire length. out 、Number of turns of inner coil in and the initial radius R of the inner coil in The constraints for the optimization of the magnetic coupling mechanism are obtained by comprehensive analysis.

[0063]

[0064] Furthermore, the anti-drift wireless charging system magnetic coupling mechanism and optimization design method, the anti-drift particle swarm optimization design method of the magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length, specifically comprises the following steps:

[0065] Step 1: Set a set of magnetic coupling mechanism parameters N out 、N in 、R inSet as a particle P i When particles move within the solution space, the coil parameters change. A certain number of particles are randomly generated within the feasible region, each with a random position and initial velocity. An optimal position for the group is defined, -X0. -X0 is the outer boundary of the ±5% fluctuation range of the mutual inductance M and is initialized to 0.

[0066] During each iteration, the optimal solution -X0 is determined by comparing the optimal position of each individual particle with the optimal position of the entire particle swarm. A smaller -X0 indicates a larger area of small-scale fluctuations in mutual inductance. During each iteration, different parameter groups may have the same objective function value. In this case, the cable usage of these parameter groups is compared, and the group with the lowest cable usage is selected as the final result of that iteration.

[0067] Step 3: Compare the result of this iteration with the optimal solution of previous iterations and update the overall optimal solution.

[0068] Step 4 updates the particles according to the velocity and position update formula, that is, updates the parameter group parameters to prepare for the next iteration. The formula is as follows:

[0069]

[0070] in, is particle P i The speed at step n, is particle P i At the position of step n-1, w is the inertia weight, c1 and c2 are learning factors, and r1 and r2 are random numbers in the range [0,1]. is particle P i The location of step n+1, is particle P i The location of step n.

[0071] In order to overcome the problem that the algorithm is prone to falling into local optimal solutions, adaptive inertia weight is used for improvement. The calculation formula of inertia weight w is as follows:

[0072]

[0073] where w min and w max The minimum and maximum inertia coefficients are given in advance, which are generally 0.3 and 0.8. The average fitness of all particles at the nth iteration;

[0074]

[0075] The minimum fitness of all particles at the nth iteration:

[0076]

[0077] Each particle updates its speed for the next iteration based on the current optimal position of the group and its own position.

[0078] Step 5 outputs the optimal parameter group according to the iterative results, obtains the optimized magnetic coupling mechanism parameters, and obtains the optimal N out 、N in 、R in , complete the design.

[0079] The magnetic coupling mechanism and optimization design method of the anti-offset wireless charging system, the total mutual inductance M between the transmitting coil (including the outer ring coil and the inner ring coil) and the receiving coil is calculated as follows: Figure 3 This is a flow chart for calculating the total mutual inductance of the transmitting and receiving ends of the bipolar anti-phase magnetic coupling mechanism proposed in the present invention.

[0080] The mutual inductance between the i-th turn of coil TX1 and the k-th turn of RX is M ik , then the mutual inductance M1 can be expressed as

[0081]

[0082] The mutual inductance M2 between coils TX2 and RX can be expressed as

[0083]

[0084] Since TX1 and TX2 are made in opposite directions, the total mutual inductance M is

[0085]

[0086] In the magnetic coupling mechanism and optimization design method of the anti-offset wireless charging system, the outer ring coil and the inner ring coil with opposite bipolarity at the transmitting end adopt a concentric and closely wound circular planar spiral coil structure.

[0087] The magnetic coupling mechanism and optimization design method of the anti-drift wireless charging system are described. The magnetic coupling mechanisms of the transmitting and receiving ends both adopt a lightweight coil structure without a magnetic core. Moreover, since both the transmitting and receiving ends adopt a circular coil structure, they have the same anti-drift performance within 360 degrees in the plane.

[0088] like Figure 4 The figure shows the optimization and improvement effect of the anti-deviation capability of the magnetic coupling mechanism and method described in this patent under different line length constraints.

[0089] The above-described specific embodiments merely describe preferred embodiments of the present invention and do not limit the scope of protection of the present invention. Any modifications, substitutions, and improvements made to the technical solution of the present invention by a person skilled in the art based on the textual description and drawings provided herein, without departing from the design concept and spirit of the present invention, shall fall within the scope of protection of the present invention. The scope of protection of the present invention is determined by the claims.

Claims

1. A magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system, characterized by: The transmitting end of the magnetic coupling mechanism adopts a coil with a bipolar reverse high anti-deviation structure, and the receiving end adopts a circular planar spiral coil to reduce the weight of the on-board energy pickup mechanism; the transmitting end bipolar reverse high anti-deviation structure is wound with uninterrupted Litz wire, the outer ring coil and the inner ring coil are in the same plane and have the same center, and the inner and outer ring coils are manufactured in opposite directions, forming a bipolar reverse feature.

2. The magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system according to claim 1, characterized in that: The transmitter-side bipolar reverse high-anti-deviation structure coil is manufactured using a magnetic coupling mechanism anti-deviation particle swarm optimization design method that takes into account the smoothness of the receiving end's planar movement mutual inductance and the coil wire length. This improves the magnetic field coupling uniformity during the 360-degree planar movement of the receiving end while taking into account the transmitter-side coil wire length. In the magnetic coupling mechanism, TX1 represents the outer coil of the transmitting coil, and TX2 represents the inner coil of the transmitting coil. The two are located in the same plane and TX2 is inside TX1. out is the number of turns of TX1 coil, N in is the number of turns of TX2 coil, N is the number of turns of receiving coil, R out is the outer radius of the TX1 coil, R in is the outer radius of the TX2 coil, r s is the radius of the receiving coil, f M (N out ,N in ,r in ) is the objective function, h is the transmission distance between the transmitting and receiving coils. M is the total mutual inductance between the transmitting coil (including the outer and inner loop coils) and the receiving coil; The objective function of the anti-drift particle swarm optimization design method for the magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length is as follows: The interval tolerance coefficient α (0<α≤1) is introduced as a system design parameter, and its physical meaning represents the control threshold of the system's tolerance to deviation. max is the upper limit, α*M max As the lower limit, the area within this range is defined as the better charging area. Therefore, when α*M max The larger the offset X0 corresponding to the value, the wider the offset range that the system can tolerate, which means that the system's adaptability to position errors is enhanced. Therefore, the objective function can be defined as: f M =max{x≥0|M(x)=α*M max } The constraints of the particle swarm optimization design method for the anti-drift magnetic coupling mechanism considering the smoothness of the receiving end's planar movement mutual inductance and the coil length are as follows: ① Anti-drift capability constraint: To prevent excessive suppression of the mutual inductance at the center and exceeding the mutual inductance fluctuation limit, the mutual inductance at the center can be limited to a certain range: M(0)≥α*M max . ② Line length constraint: To ensure the feasibility of the algorithm under different resonator size designs, this paper defines a line length relative tolerance coefficient β to dynamically define the allowable range of line length: (1-β)L≤L≤(1+β)L Based on the physical characteristics of the coil system and manufacturing constraints, the total wire length can be expressed as: Where d is the diameter of the Litz wire. Number of turns of the outer coil N out 、Number of turns of inner coil in and the initial radius R of the inner coil in is the key decision variable. The number of turns N of the outer ring coil is determined according to the wire length out 、Number of turns of inner coil in and the initial radius R of the inner coil in The constraints for the optimization of the magnetic coupling mechanism are obtained by comprehensive analysis. 。 3. The magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system according to claim 2, characterized in that: The specific steps of the particle swarm optimization design method for the magnetic coupling mechanism anti-offset considering the smoothness of the receiving end's planar movement mutual inductance and the coil length are as follows: Step 1: Set a set of magnetic coupling mechanism parameters N out 、N in 、R in Set as a particle P i When particles move within the solution space, the coil parameters change. A certain number of particles are randomly generated within the feasible region, each with a random position and initial velocity. An optimal position for the group is defined, -X0. -X0 is the outer boundary of the ±5% fluctuation range of the mutual inductance M and is initialized to 0. During each iteration, the optimal solution -X0 is determined by comparing the optimal position of each individual particle with the optimal position of the entire particle swarm. A smaller -X0 indicates a larger area of small-scale fluctuations in mutual inductance. During each iteration, different parameter groups may have the same objective function value. In this case, the cable usage of these parameter groups is compared, and the group with the lowest cable usage is selected as the final result of that iteration. Step 3: Compare the result of this iteration with the optimal solution of previous iterations and update the overall optimal solution. Step 4 updates the particles according to the velocity and position update formula, that is, updates the parameter group parameters to prepare for the next iteration. The formula is as follows: in, is particle P i The speed at step n, is particle P i At the position of step n-1, w is the inertia weight, c1 and c2 are learning factors, and r1 and r2 are random numbers in the range [0,1]. is particle P i The location of step n+1, is particle P i The location of step n. In order to overcome the problem that the algorithm is prone to falling into local optimal solutions, adaptive inertia weight is used for improvement. The calculation formula of inertia weight w is as follows: where w min and w max The minimum and maximum inertia coefficients are given in advance, which are generally 0.3 and 0.

8. The average fitness of all particles at the nth iteration; The minimum fitness of all particles at the nth iteration: Each particle updates its speed for the next iteration based on the current optimal position of the group and its own position. Step 5 outputs the optimal parameter group according to the iterative results, obtains the optimized magnetic coupling mechanism parameters, and obtains the optimal N out 、N in 、R in , complete the design.

4. The anti-drift wireless charging system magnetic coupling mechanism and optimization design method according to claim 2, characterized in that: The total mutual inductance M between the transmitting coil (including the outer and inner loop coils) and the receiving coil is calculated as follows: The mutual inductance between the i-th turn of coil TX1 and the k-th turn of RX is M ik , then the mutual inductance M1 can be expressed as The mutual inductance M2 between coils TX2 and RX can be expressed as Since TX1 and TX2 are made in opposite directions, the total mutual inductance M is 。 5. The magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system according to claim 2, characterized in that: The outer ring coil and inner ring coil of the transmitting end with opposite bipolar directions adopt a concentric and closely wound circular planar spiral coil structure.

6. The magnetic coupling mechanism and optimization design method for an anti-drift wireless charging system according to claim 5, characterized in that: The magnetic coupling mechanism of both the transmitting and receiving ends adopts a lightweight coil structure without a magnetic core, and because both the transmitting and receiving ends adopt a circular coil structure, they have the same anti-deviation performance within 360 degrees in the plane.

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