Vehicle-mounted wireless charging coil inductance and charging method thereof

Abstract

The application discloses a vehicle-mounted wireless charging coil inductance and a charging method thereof, and belongs to the technical field of wireless charging and magnetic components, which comprises a substrate shell, a coil array, a sensing network and a controller. The coil array is composed of multiple excitation coil units and is accommodated in the substrate shell. The sensing network is composed of multiple three-axis magnetic field sensors, which are arranged in an array form below the coil array. The controller is accommodated in the substrate shell and is electrically connected to each excitation coil unit in the coil array and each three-axis magnetic field sensor in the sensing network respectively. The controller is used for generating an excitation strategy for the coil array based on the feedback of the sensing network. The application ensures efficient energy transmission and exhibits excellent adaptability and stability.

Description

Technical Field

[0001] This invention relates to the field of wireless charging and its magnetic components, specifically to an inductor for vehicle-mounted wireless charging and its charging method. Background Technology

[0002] In automotive wireless charging applications, existing technologies primarily rely on fixed transmitting coils to generate a static magnetic field to charge the vehicle. This method lacks effective real-time monitoring and dynamic adjustment capabilities to address vehicle position shifts or interference from external metal objects during the charging process.

[0003] This situation leads to the following specific problems: First, charging efficiency heavily depends on the precise alignment of the vehicle when parked. Any deviation in position or posture will reduce the coupling effect between the transmitter and receiver, thereby reducing charging efficiency. Second, traditional technologies cannot effectively identify and locate metallic foreign objects that accidentally enter the charging area, such as tools or cans. This not only causes the foreign objects to heat up due to the eddy current effect, posing a safety hazard, but also interferes with the normal charging magnetic field, further affecting charging performance.

[0004] The root cause of these problems lies in the fact that the physical structure and control strategy of traditional charging solutions are open-loop, lacking a real-time and precise sensing and feedback mechanism for the magnetic field environment in key charging areas. Because of this lack of feedback, a closed-loop control system cannot be formed to proactively adapt to changes in external conditions. As a result, in practical applications, charging efficiency and safety are difficult to guarantee consistently, limiting the reliability of wireless charging technology and the user experience.

[0005] The information disclosed in the background section above is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an inductor for a vehicle-mounted wireless charging coil and a charging method thereof, so as to solve the problems mentioned in the background art.

[0007] The technical solution of the present invention includes: a substrate housing, a coil array, a sensor network, and a controller;

[0008] The coil array consists of multiple excitation coil units and is housed within the substrate housing;

[0009] The sensing network consists of multiple triaxial magnetic field sensors, which are arranged in an array below the coil array.

[0010] The controller is accommodated in the substrate housing and electrically connected to each excitation coil unit in the coil array and each three-axis magnetic field sensor in the sensor network respectively, and the controller is configured to generate an excitation strategy for the coil array based on feedback from the sensor network.

[0011] Preferably, a sensor mounting layer is further arranged below the coil array, and the three-axis magnetic field sensors are fixed on the sensor mounting layer.

[0012] Preferably, the substrate housing is pre-provided with matrix grooves for embedding and fixing each excitation coil unit respectively, and the substrate housing is further integrally provided with a separate controller cabin for accommodating the controller.

[0013] Preferably, each three-axis magnetic field sensor is arranged in a central region surrounded by four adjacent excitation coil units.

[0014] A vehicle-mounted wireless charging method, comprising the following steps:

[0015] Obtaining discrete magnetic field vector data, the controller driving the coil array to emit a probe signal and synchronously reading three-axis magnetic field strength data output by each three-axis magnetic field sensor in the sensor network to obtain discrete magnetic field vector data representing magnetic field distribution in the charging area;

[0016] Generating a magnetic field space vector distribution map and extracting characteristic parameters, the controller performing spatial interpolation calculation based on the discrete magnetic field vector data to generate a three-dimensional magnetic field space vector distribution map, and analyzing the three-dimensional magnetic field space vector distribution map to extract a coupling state characteristic representing a position and attitude of a vehicle-mounted receiving end and an environmental disturbance characteristic representing a position of an external metal object;

[0017] Adaptive generation and execution of an excitation strategy, the controller setting the coupling state characteristic and the environmental disturbance characteristic as optimization targets, and cooperatively adjusting current amplitude and phase of each excitation coil unit in the coil array to generate and execute an excitation strategy that focuses magnetic field energy on the vehicle-mounted receiving end and avoids the area where the environmental disturbance characteristic is located.

[0018] The calculation logic of the adaptive generation and execution of the excitation strategy, the core of which is a multi-objective optimization process, can be divided into the following steps:

[0019] Input source: the input of the process is the two groups of key characteristic parameters extracted in the previous step: the coupling state characteristic representing the position and attitude of the receiving end, i.e. the magnetic flux path center offset and the coupling plane inclination; and the environmental disturbance characteristic representing the position of the metal foreign object.

[0020] Logical steps:

[0021] Step 1: Define the optimization objective function; the controller constructs an objective function that aims to maximize the magnetic field strength and regularity in the effective coupling region, while minimizing the magnetic field strength in the region where the environmental interference features are located.

[0022] Step 2: Initialize excitation parameters; the controller sets a set of initial current amplitudes and phases for each excitation coil unit in the coil array.

[0023] Step 3: Iterative solution; the controller uses a numerical optimization algorithm, such as a gradient descent-based algorithm or a particle swarm optimization algorithm, to adjust the current amplitudes and phases of each excitation coil unit through iterative calculations. In each iteration, the algorithm will predict the magnetic field distribution generated according to the current excitation parameters, and evaluate its effect according to the optimization objective function. The algorithm will adjust the parameters in the direction that can improve the objective function value until the function result converges or reaches the preset optimization precision.

[0024] Output results and flow direction: The final output of the process is a set of optimal current amplitudes and phase parameters for all excitation coil units; this set of parameters is immediately issued by the controller to the driving circuit of the coil array, so as to execute the excitation strategy and complete the reshaping and focusing of the magnetic field;

[0025] Preferably, the step of extracting coupling state features further comprises determining the region with the highest magnetic field strength and regular magnetic field direction in the three-dimensional magnetic field space vector distribution map as the effective coupling region, and calculating the magnetic flux path center offset representing the position of the vehicle-mounted receiving end and the coupling plane inclination representing its attitude based on the geometric center, normal direction and area of the effective coupling region.

[0026] Preferably, the step of extracting environmental interference features further comprises calculating the spatial variation rate of the magnetic field strength at each point in the three-dimensional magnetic field space vector distribution map, and determining the region with a spatial variation rate higher than a preset gradient threshold as the interference source position caused by external metal objects.

[0027] Preferably, the step of generating and executing the excitation strategy further comprises the controller setting the historical coupling state features in the preset time period before the current time as the prediction input, setting the target position and target attitude of the vehicle-mounted receiving end after the preset time offset in the future as the prediction output, and adjusting the current amplitudes and phases of the excitation coil units based on the prediction output.

[0028] The present application improves the inductive coil of the vehicle-mounted wireless charging coil and its charging method, which has the following improvements and advantages compared with the prior art:

[0029] 1. The core of this scheme is to build a closed-loop control system. By collecting discrete magnetic field vector data in real time through a sensor network composed of multiple three-axis magnetic field sensors, the controller can generate a three-dimensional magnetic field space vector distribution map based on these data; this map is like a precise map drawn for the magnetic field, making the system no longer blindly emit energy. Based on this map, the controller can dynamically reshape the magnetic field pattern by cooperatively adjusting the current amplitude and phase of each excitation coil unit in the coil array, accurately focusing the magnetic field energy on the vehicle-mounted receiving end, and actively avoiding the area where the environmental interference features are located. This ability enables the system to compensate for the offset of the vehicle parking position, ensuring efficient energy transmission and demonstrating excellent adaptability and stability;

[0030] 2. The scheme refines the extraction of coupling state features. After generating the three-dimensional magnetic field space vector distribution map, the system can determine the effective coupling area by analyzing the magnetic field strength and direction regularity; based on the geometric center, normal direction, and area of this region, two key parameters can be accurately calculated: the magnetic flux path center offset and the coupling plane inclination; the former quantifies the position deviation of the receiving end in the horizontal plane, and the latter quantifies its tilt attitude; converting the vague position and attitude concept into specific values that the controller can use provides accurate optimization targets for subsequent excitation strategy adaptive generation and execution steps;

[0031] 3. The scheme uses the physical principle that metal foreign objects can cause a dramatic change in the magnetic field gradient to extract environmental interference features. The controller calculates the spatial variation rate of the magnetic field strength at each point in the three-dimensional magnetic field space vector distribution map and determines the area above the preset gradient threshold as the location of the interference source caused by external metal objects; this method can accurately distinguish small metal foreign objects from the background magnetic field; when generating the excitation strategy later, the controller can actively adjust the excitation of the coil array to make the magnetic field bypass these interference sources, avoiding the safety risks caused by foreign object heating;

[0032] 4. To address the small dynamic changes of the receiving end caused by changes in vehicle suspension or passenger movement, the scheme introduces a prediction mechanism when generating the excitation strategy; the controller will predict the target position and target attitude of the vehicle-mounted receiving end after a preset time offset based on the historical coupling state features within a preset time period before the current time; based on this prediction result, the excitation adjustment can effectively compensate for the delay from measurement to execution within the system, enabling the focusing of magnetic field energy to actively cater to the dynamic changes of the receiving end, thereby maintaining continuous and stable energy transmission even when the vehicle is not completely stationary;

[0033] 5. In physical implementation, the matrix recess pre-set in the substrate shell can accurately fix each excitation coil unit, ensuring the constancy of the relative position between coils. The added sensor mounting layer solidifies the spatial relationship between the sensor and the coil array, eliminating the measurement error introduced by the displacement of the sensor; at the same time, the integrally formed independent controller cabin provides effective physical isolation and environmental protection for the core processing unit; these designs collectively improve the integration, durability and operation reliability of the entire device. BRIEF DESCRIPTION OF DRAWINGS

[0034] The application will be further explained below in conjunction with the drawings and examples:

[0035] Figure 1 is the internal overall structure diagram of the charging substrate;

[0036] Figure 2 is the structure diagram of the sensing network;

[0037] Figure 3 is the structure diagram of the coil array;

[0038] Figure 4 is the method flowchart of the application;

[0039] Figure 5 is the structure diagram of the fisheye terminal;

[0040] In the figure: 100, charging substrate; 200, coil array; 210, excitation coil unit; 300, sensing network; 310, three-axis magnetic field sensor, fisheye terminal 400. DETAILED DESCRIPTION

[0041] To make the purpose, technical scheme and advantages of the application clearer, the application will be further described in detail below in conjunction with specific examples.

[0042] Example 1

[0043] Please refer to Figures 1-5 , the application provides a vehicle-mounted wireless charging coil inductance, comprising: a substrate shell, a coil array 200, a sensing network 300 and a controller;

[0044] The coil array 200 is composed of multiple excitation coil units 210 and is contained in the substrate shell;

[0045] The sensing network 300 is composed of multiple three-axis magnetic field sensors 310, and the three-axis magnetic field sensors 310 are arranged in an array form below the coil array 200;

[0046] The controller is accommodated in the substrate housing and is electrically connected to each excitation coil unit 210 in the coil array 200 and each three-axis magnetic field sensor 310 in the sensing network 300, respectively, and is configured to generate an excitation strategy for the coil array 200 based on feedback from the sensing network 300.

[0047] The conventional wireless charging technology lacks effective real-time monitoring and dynamic adjustment capability for the deviation of the vehicle position or the interference of external metal objects during the charging process, affecting the charging efficiency and safety. In the present application, the coil array 200, the sensing network 300 and the controller are integrated in one substrate housing to form a functionally complete vehicle-mounted wireless charging coil inductor. The coil array 200 is composed of a plurality of independently controllable excitation coil units 210 for generating a magnetic field required for wireless charging. The sensing network 300 is composed of a plurality of three-axis magnetic field sensors 310 arranged in an array for real-time capture of spatial distribution information of the magnetic field. The controller, as the core processing unit, is electrically connected to the coil array 200 and the sensing network 300, can receive real-time feedback data from the sensing network 300, and generate and execute an excitation strategy for the coil array 200 accordingly. This structure enables the magnetic field pattern during the charging process to be dynamically adjusted according to the actual situation, and compared with the traditional fixed magnetic field charging method, it shows better adaptability and stability when dealing with inaccurate parking of the vehicle or interference of metal foreign objects.

[0048] It also includes a sensor mounting layer arranged below the coil array 200, the three-axis magnetic field sensors 310 are fixed on the sensor mounting layer, the pins of the coil array 200 are fixed on the charging substrate through the fisheye terminal 400, the fisheye terminal 400 is a pin structure and one end of which is a U-shaped groove and is matched with the pins of the coil array 200, the other end of the fisheye terminal 400 can be directly inserted into the PCB hole on the charging substrate for conductive connection without using tin paste or tin strip.

[0049] To ensure the accuracy of the data collected by the sensing network 300, the physical position of the sensor must be accurate and stable. In this embodiment, a sensor mounting layer is added. The sensor mounting layer, which can be a printed circuit board (PCB), is arranged directly below the coil array 200, and all three-axis magnetic field sensors 310 that make up the sensing network 300 are fixed directly on this sensor mounting layer. The purpose of this design is to fix the relative spatial position relationship between the sensors and the coil array 200 through a dedicated mounting layer. This constant and accurate positioning is the basis for subsequent effective magnetic field spatial topology mapping, which eliminates the measurement errors that may be introduced due to inaccurate or displaced sensor positions, thereby improving the reliability of the entire system for analyzing the magnetic field distribution state.

[0050] The substrate shell is internally provided with matrix grooves for embedding and fixing each excitation coil unit 210 respectively, and the substrate shell is further integrally provided with a separate controller cabin for accommodating the controller.

[0051] In order to realize reliable integration and protection of each functional component, the substrate shell in the embodiment adopts a specific internal structure; the substrate shell can be made of non-metallic high-strength composite material and is injection molded, and a plurality of independent matrix grooves are internally provided in advance. Each excitation coil unit 210 is embedded and fixed in the corresponding groove, for example, can be fixed by epoxy resin, which ensures the stability of the position of the coil unit during work and the accurate distance between each other; at the same time, the substrate shell is further integrally provided with a separate and sealed controller cabin; the controller, as an integrated special electronic control unit, is integrally installed in the cabin; this design separates the coil array 200 generating the magnetic field and the electronic hardware performing the control in physics, and the independent controller cabin can provide effective environmental protection for the controller, avoiding the influence of dust, humidity and other external factors on its normal work, thereby improving the durability and operation reliability of the whole device.

[0052] Each three-axis magnetic field sensor 310 is arranged in the central region surrounded by the four adjacent excitation coil units 210.

[0053] The layout of the sensor is directly related to the quality of the magnetic field mapping. In the embodiment, the specific position of the three-axis magnetic field sensor 310 in the sensor network 300 is limited; each three-axis magnetic field sensor 310, which can be a Hall effect sensor, is arranged in the central region surrounded by the four adjacent excitation coil units 210; the sensor is arranged in the center of the gap between the coils instead of directly below the coils, which aims to capture the vector information of the region with the most complex magnetic field line shape change; such a layout enables the sensor network 300 to form a distributed measurement grid covering the entire charging area, and the obtained data point set can more comprehensively reflect the overall distribution characteristics of the magnetic field, especially the coupling and field cooperation state between the coils, providing high-quality raw data input for subsequent construction of a continuous and smooth three-dimensional magnetic field space vector distribution map through a spatial interpolation algorithm.

[0054] Embodiment 2

[0055] A vehicle-mounted wireless charging method, comprising the following steps:

[0056] Obtaining discrete magnetic field vector data, the controller drives the coil array 200 to emit a detection signal, and synchronously reads the three-axis magnetic field strength data output by each three-axis magnetic field sensor 310 in the sensor network 300, to obtain discrete magnetic field vector data representing the magnetic field distribution of the charging area;

[0057] The magnetic field space vector distribution map is generated and the characteristic parameters are extracted, the controller performs space interpolation calculation based on the discrete magnetic field vector data to generate a three-dimensional magnetic field space vector distribution map, and analyzes the three-dimensional magnetic field space vector distribution map to extract the coupling state characteristic representing the position and attitude of the vehicle-mounted receiving end and the environmental disturbance characteristic representing the position of the external metal object;

[0058] The excitation strategy is adaptively generated and executed, the controller sets the coupling state characteristic and the environmental disturbance characteristic as the optimization target, and cooperatively adjusts the current amplitude and phase of each excitation coil unit 210 in the coil array 200 to generate and execute the excitation strategy that focuses the magnetic field energy on the vehicle-mounted receiving end and avoids the area where the environmental disturbance characteristic is located.

[0059] The contents of the application also provide a control method for vehicle-mounted wireless charging, which is based on the coil inductance of the aforementioned vehicle-mounted wireless charging. The method realizes dynamic management of the charging process through the organic combination of three steps. The process begins with obtaining discrete magnetic field vector data. In this step, the controller will drive all excitation coil units 210 in the coil array 200 to emit a standardized detection signal at low power, and simultaneously read the X, Y, Z three-direction magnetic field intensity data measured by each three-axis magnetic field sensor 310 in the sensor network 300, thereby obtaining a set of discrete magnetic field vector data points covering the charging area. Then, the magnetic field space vector distribution map is generated and the characteristic parameters are extracted. The controller uses the known sensor positions and measured data to perform space interpolation calculation. The controller can use a space interpolation algorithm, such as an algorithm based on the inverse distance weighting idea, to expand the discrete data points into a continuous and smooth three-dimensional magnetic field space vector distribution map. Based on this map, the controller extracts the coupling state characteristic for describing the relative position and attitude of the receiving end, and the environmental disturbance characteristic of the external metal object position represented by the magnetic field abnormal gradient, by analyzing the field strength distribution and direction regularity. After obtaining these key information, the method enters the step of adaptively generating and executing the excitation strategy. The controller takes the extracted coupling state characteristic and environmental disturbance characteristic as the adjustment target and constraint, and dynamically reshapes the magnetic field by cooperatively adjusting the current amplitude and phase of each excitation coil unit 210 in the coil array 200, so that the energy of the magnetic field can be focused on the vehicle-mounted receiving end while actively avoiding the area where the metal interference object is located.

[0060] The step of extracting the coupling state characteristic further includes determining the area with the highest magnetic field intensity and the most regular magnetic field direction in the three-dimensional magnetic field space vector distribution map as the effective coupling area, and calculating the magnetic flux path center offset representing the position of the vehicle-mounted receiving end and the coupling plane inclination representing the attitude of the vehicle-mounted receiving end based on the geometric center, normal direction and area of the effective coupling area.

[0061] In order to quantify the position and attitude of the receiving end, the embodiment refines the step of extracting the coupling state feature; after the controller generates the three-dimensional magnetic field space vector distribution map, it will execute a set of analysis algorithms to locate the receiving end. The algorithm searches the entire distribution map to find a region that meets both the highest magnetic field strength value and the best consistency of the magnetic field Z-axis component direction, and this region is subsequently determined as the effective coupling area. After determining the effective coupling area, the controller can perform accurate parameter calculation, for example, calculating the physical distance between the geometric center of the region and the center of the charging substrate 100 as the magnetic flux path center offset, to accurately describe the positional misalignment of the receiving end in the horizontal plane; at the same time, by performing plane fitting on the magnetic field Z-axis component data of all points in the region, a normal direction of the fitting plane can be obtained, which accurately quantifies the attitude of the receiving end, i.e., the inclination of the coupling plane. In this way, the originally ambiguous position and attitude concept is converted into specific numerical values that the controller can directly use for calculation and compensation.

[0062] The step of extracting the environmental interference feature further includes calculating the spatial variation rate of the magnetic field strength of each point in the three-dimensional magnetic field space vector distribution map, and determining the region with a spatial variation rate higher than a preset gradient threshold as the interference source position caused by external metal objects;

[0063] The setting of the preset gradient threshold is based on the fact that it must be higher than the magnetic field gradient caused by the vehicle-mounted receiving end itself, and at the same time, it must be sensitive enough to capture more severe local magnetic field distortion caused by typical metal foreign objects such as tools, cans, etc. in the magnetic field; in specific implementation, this threshold can be determined by experimental calibration method: first, in the standard coupling state without any foreign objects and only with the receiving end, measure and statistically analyze the magnetic field spatial variation rate of the entire region, and take the maximum value as the reference; place a standard metal test piece with the smallest detectable size in the charging area and measure the spatial variation rate it causes; the final preset gradient threshold is set as a safety value between the aforementioned reference value and the value caused by the metal test piece, thereby ensuring efficient identification of foreign objects and immunity to normal coupling.

[0064] To effectively detect the external metal objects that may affect the charging safety and efficiency, the step of extracting the environmental interference features is refined in the embodiment; the step utilizes the principle that the external metal objects and the vehicle-mounted receiving end cause different distortion features in the coil magnetic field; the controller calculates the spatial variation rate of the magnetic field intensity of each point in the three-dimensional magnetic field space vector distribution map, that is, the gradient. The vehicle-mounted receiving end as a coupling target causes a wide range of magnetic field changes, so its spatial variation rate is relatively flat; in contrast, the external metal objects force the magnetic lines to produce sharp distortion at their edges, thereby forming a narrow area with a very high spatial variation rate; based on this, by setting a reasonable gradient threshold higher than the variation rate of the normal coupling area, the controller can screen out all the areas in the map where the magnetic field intensity has irregular and sharp jumps, and mark these high-gradient areas as the positions of the interference sources caused by the external metal objects; this gradient analysis-based method can accurately distinguish the metal interference from the background magnetic field.

[0065] The step of generating and executing the excitation strategy further includes that the controller sets the historical coupling state features in a preset time period before the current time as the prediction input, sets the target position and target attitude of the vehicle-mounted receiving end after a preset time offset in the future as the prediction output, and adjusts the current amplitude and phase of the excitation coil unit 210 based on the prediction output;

[0066] To cope with the dynamic changes of the receiving end caused by changes in vehicle suspension or movement of passengers, the embodiment introduces a prediction mechanism to the step of generating and executing the excitation strategy; before adjustment, the controller will refer to and maintain a short-time historical data queue containing time stamps and composed of the latest number of coupling state feature data points; by analyzing the continuous position and attitude changes in this queue, the controller can calculate the moving speed and direction of the receiving end and the tilt angular velocity of the attitude; based on this, the adjustment target set by the controller is not the current measured state, but the target position and target attitude after a very short time offset in the future calculated from the current state and the calculated change rate, that is, the prediction output; then, the controller adjusts the current amplitude and phase of each excitation coil unit 210 based on this prediction output. This adjustment method can compensate for the inherent delay from measurement to execution, so that the focusing and shaping of the magnetic field energy can actively cater to the dynamic changes of the receiving end, thereby maintaining relatively stable and continuous energy transmission even in the state of non-complete vehicle stillness;

[0067] wherein the preset time period defines the length of the history data window for calculating the dynamic trend of the receiving end, and its selection needs to balance the response speed and noise suppression: a shorter time period can respond to dynamic changes faster, but is easily disturbed by measurement noise; a longer time period can provide smoother and more stable trend prediction, but responds to mutations more slowly; the preset time offset is mainly used to compensate for the inherent calculation and execution delay of the system, and its value is approximately equal to the total time required from the completion of sensor data collection to the effectiveness of the new excitation strategy on the excitation coil. Both parameters can be optimized and set during the system debugging phase according to the processing capacity of the controller and the physical response characteristics of the system.

[0068] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A vehicle-mounted wireless charging method, characterized by, The method comprises the following steps: obtaining discrete magnetic field vector data, the controller driving the coil array (200) to emit a detection signal, and synchronously reading the three-axis magnetic field intensity data output by each three-axis magnetic field sensor (310) in the sensor network (300) to obtain discrete magnetic field vector data representing the magnetic field distribution of the charging area; generating a magnetic field space vector distribution map and extracting characteristic parameters, the controller performing spatial interpolation calculation based on the discrete magnetic field vector data to generate a three-dimensional magnetic field space vector distribution map, and analyzing the three-dimensional magnetic field space vector distribution map to extract a coupling state characteristic representing the position and attitude of the vehicle-mounted receiving end, and an environmental disturbance characteristic representing the position of external metal objects; adaptively generating and executing an excitation strategy, the controller setting the coupling state characteristic and the environmental disturbance characteristic as optimization targets, and cooperatively adjusting the current amplitude and phase of each excitation coil unit (210) in the coil array (200) to generate and execute an excitation strategy that focuses magnetic field energy on the vehicle-mounted receiving end and avoids the area where the environmental disturbance characteristic is located; the step of extracting the coupling state characteristic further comprises determining the area with the highest magnetic field intensity and regular magnetic field direction in the three-dimensional magnetic field space vector distribution map as an effective coupling area, and calculating the magnetic flux path center offset representing the position of the vehicle-mounted receiving end and the coupling plane inclination representing the attitude of the vehicle-mounted receiving end based on the geometric center, normal direction and area of the effective coupling area; the step of extracting the environmental disturbance characteristic further comprises calculating the spatial variation rate of the magnetic field intensity of each point in the three-dimensional magnetic field space vector distribution map, and determining the area with a spatial variation rate higher than a preset gradient threshold as the position of the disturbance source caused by external metal objects; the step of generating and executing the excitation strategy further comprises the controller setting the historical coupling state characteristic in a preset time period before the current time as a prediction input, setting the target position and target attitude of the vehicle-mounted receiving end after a preset time offset in the future as a prediction output, and adjusting the current amplitude and phase of the excitation coil unit (210) based on the prediction output. The method comprises the following steps:

2. A wireless charging coil inductance for a vehicle, applied to the wireless charging method for a vehicle according to claim 1, characterized in that, a substrate housing; the coil array (200) is composed of a plurality of excitation coil units (210) and is accommodated in the substrate housing; the sensor network (300) is composed of a plurality of three-axis magnetic field sensors (310), and the three-axis magnetic field sensors (310) are arranged in an array under the coil array (200); ​ The controller is accommodated in the substrate housing and electrically connected to each excitation coil unit (210) in the coil array (200) and each three-axis magnetic field sensor (310) in the sensing network (300) respectively, and is configured to generate an excitation strategy of focusing magnetic field energy on the vehicle-mounted receiving end and avoiding an area where an environmental interference feature is located by cooperatively adjusting current amplitude and phase of each excitation coil unit (210) in the coil array (200) based on feedback of the sensing network (300).

3. The in-vehicle wireless charging coil inductance of claim 2, wherein, The sensor mounting layer is further arranged below the coil array (200), and the three-axis magnetic field sensors (310) are fixed on the sensor mounting layer.

4. The in-vehicle wireless charging coil inductance of claim 2, wherein, The substrate housing is provided with matrix recesses for embedding and fixing each excitation coil unit (210) respectively, and the substrate housing is further integrally formed with a separate controller cabin for accommodating the controller.

5. The in-vehicle wireless charging coil inductance of claim 2, wherein, Each three-axis magnetic field sensor (310) is arranged in a central region surrounded by four adjacent excitation coil units (210).

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