Charging calibration method and device

Abstract

The invention provides a charging calibration method and device, and belongs to the technical field of wireless charging. The method comprises the steps of determining a to-be-detected position in a charging area under the condition that mobile equipment in the charging area is identified as uncalibrated equipment, guiding a user to place the mobile equipment at the to-be-detected position, collecting a Q value of the to-be-detected position, determining a target Q value based on the Q value of the to-be-detected position, and determining the position of the to-be-detected position according to the target Q value. And determining a foreign matter detection threshold value corresponding to the mobile equipment, and performing charging calibration on the mobile equipment according to the foreign matter detection threshold value. Therefore, the target Q value is determined according to the acquired Q value of the to-be-detected position, and the foreign matter detection threshold value corresponding to the mobile equipment is determined according to the target Q value, so that the mobile equipment is subjected to charging calibration, and charging calibration of a mobile phone model newly published after the vehicle model appears on the market or a small-crowd model which is not pre-tested and calibrated by a vehicle manufacturer can be realized.

Description

Technical Field

[0001] This application relates to the field of wireless charging technology, and in particular to a charging calibration method and apparatus. Background Technology

[0002] Wireless charging technology is widely used in automotive environments due to its convenience. To ensure charging safety, in-vehicle wireless charging modules must have effective foreign object detection capabilities. Currently, the mainstream technical solution is based on a preset, fixed Q-value (Quality Factor) threshold range for foreign object detection. When a metallic foreign object is placed in the charging area, it causes a sudden change in the Q-value. By detecting this change, the system determines whether to interrupt charging to ensure safety.

[0003] Because different mobile devices (such as mobile phones) differ in their internal structure, coil materials, and electromagnetic characteristics, their Q-value baselines also vary. For mass-produced products like automobiles, the preset threshold range is usually determined before mass production by conducting extensive offline testing and data calibration on mainstream models on the market at the time. However, this method is costly, time-consuming, and cannot cover all models. Especially for newly released mobile phone models after the vehicle's launch or "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer, since there is no corresponding threshold range, it is impossible to guarantee the absence of foreign objects that could affect charging safety when monitoring the charging of such mobile devices. If the charging process is started hastily, misjudgments may occur, leading to safety hazards and preventing users from obtaining a good wireless charging experience. Summary of the Invention

[0004] The purpose of this application is to provide a charging calibration method and apparatus to solve the technical problem that misjudgment may occur for newly released mobile phone models after the vehicle model is launched, or for "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer, resulting in users not obtaining a good wireless charging experience. The specific technical solution is as follows: In a first aspect of this application, a charging calibration method is provided, the method comprising: If the mobile device in the charging area is identified as an uncalibrated device, the location to be detected is determined in the charging area; Guide the user to place the mobile device at the location to be detected; Collect the Q value of the location to be detected, and determine the target Q value based on the Q value of the location to be detected; Based on the target Q value, determine the foreign object detection threshold corresponding to the mobile device; The mobile device is calibrated for charging based on the foreign object detection threshold.

[0005] In an optional implementation, the method further includes, before execution: Obtain the identification information of the mobile device; The mobile device is identified based on a preset calibration device database and the identification information of the mobile device; If no data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device will be identified as an uncalibrated device. If data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device is identified as a calibrated device.

[0006] In an optional implementation, the location to be detected includes a first detection location and at least two second detection locations, and determining the location to be detected in the charging area includes: The center position of the charging area is determined as the first detection position; At least two diagonal or boundary points within the charging area are identified as the at least two second detection positions.

[0007] In an optional implementation, the step of acquiring the Q value of the location to be detected and determining the target Q value based on the Q value of the location to be detected includes: Collect the Q value of the mobile device placed at the first detection position; Collect the Q value corresponding to each of the at least two second detection positions where the mobile device is placed; The target Q value is determined by the arithmetic mean of the Q value at the first detection position and the Q values ​​at each of the at least two second detection positions.

[0008] In an optional implementation, determining the foreign object detection threshold corresponding to the mobile device based on the target Q value includes: Get the preset offset coefficient; The foreign object detection threshold is obtained based on the preset offset coefficient and the target Q value.

[0009] In an optional implementation, the location to be detected includes a first detection location and at least two second detection locations, and obtaining the preset offset coefficient includes: Determine the dispersion of the Q value at the first detection position from the Q values ​​corresponding to each of the at least two second detection positions; Obtain the offset coefficient table; The dispersion is matched with the offset coefficient table to obtain the preset offset coefficient.

[0010] In an optional implementation, the step of calibrating the charging of the mobile device based on the foreign object detection threshold includes: Obtain the identification information of the mobile device; The foreign object detection threshold is associated with the identification information of the mobile device to obtain the detection information corresponding to the mobile device; Based on the detection information corresponding to the mobile device, the mobile device is calibrated for charging.

[0011] In an optional implementation, determining the location to be detected in the charging area includes: Obtain the size information of the mobile device; A data acquisition path is generated based on the size information of the mobile device and the boundary of the charging area. Multiple sampling points along the acquisition path are identified as the locations to be detected.

[0012] In an optional implementation, determining the location to be detected in the charging area includes: Obtain calibration data from calibrated devices with the same attributes as the mobile device; At least two key location points are determined based on the calibration data; The at least two key location points are determined as the locations to be detected.

[0013] In a second aspect of this application, a charging calibration device is also provided, the device comprising: A location determination module is used to determine the location to be detected in the charging area when the mobile device in the charging area is identified as an uncalibrated device. A guidance module is used to guide the user to place the mobile device at the location to be detected; The target Q-value determination module is used to collect the Q-value of the location to be detected and determine the target Q-value based on the Q-value of the location to be detected. The foreign object detection threshold determination module is used to determine the foreign object detection threshold corresponding to the mobile device based on the target Q value; The charging calibration module is used to calibrate the charging of the mobile device based on the foreign object detection threshold.

[0014] In a third aspect of the embodiments of this application, a vehicle is also provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor, when executing a program stored in memory, implements the charging calibration method described in any one of the first aspects above.

[0015] In a fourth aspect of the embodiments of this application, a storage medium is also provided, wherein the storage medium stores instructions that, when executed on a computer, cause the computer to perform any of the charging calibration methods described in the first aspect above.

[0016] In a fifth aspect of the embodiments of this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform any of the charging calibration methods described in the first aspect above.

[0017] The technical solution provided in this application, when the mobile device in the charging area is identified as an uncalibrated device, determines a detection position in the charging area, guides the user to place the mobile device at the detection position, collects the Q value of the detection position, determines a target Q value based on the Q value of the detection position, determines the foreign object detection threshold corresponding to the mobile device based on the target Q value, and calibrates the mobile device for charging based on the foreign object detection threshold. In this way, by collecting the Q value of the detection position, determining the target Q value, and determining the foreign object detection threshold corresponding to the mobile device for charging calibration, it is possible to achieve charging calibration for newly released mobile phone models after the vehicle model is launched or for "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer, thereby realizing wireless charging functionality and ensuring charging safety. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0021] Figure 1 A schematic diagram illustrating the implementation process of a charging calibration method provided in this application embodiment; Figure 2 This application provides a schematic diagram of the structure of a human-computer interaction interface display. Figure 3A schematic diagram illustrating the implementation process of another charging calibration method provided in this application embodiment; Figure 4 A schematic diagram illustrating the implementation process of a mobile device identification method provided in this application embodiment; Figure 5 This is a schematic diagram illustrating the implementation process of a method for determining the location to be detected, provided in an embodiment of this application. Figure 6 A schematic diagram illustrating the implementation process of another method for determining the location to be detected provided in this application embodiment; Figure 7 A schematic diagram illustrating the implementation process of a method for determining a foreign object detection threshold provided in an embodiment of this application; Figure 8 A schematic diagram illustrating the implementation process of another method for determining the location to be detected provided in this application embodiment; Figure 9 A schematic diagram illustrating the implementation process of a mobile device charging calibration method provided in this application embodiment; Figure 10 This is a schematic diagram of the structure of a charging calibration device provided in an embodiment of this application; Figure 11 This is a structural schematic diagram of a vehicle provided in an embodiment of this application. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] The following disclosure provides numerous different embodiments or examples for implementing various structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0024] To address the technical problem in existing technologies that may lead to misjudgments of newly released mobile phone models after a vehicle's market launch or "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer, resulting in a poor wireless charging experience for users, this application provides a charging calibration method and apparatus. When a mobile device in the charging area is identified as an uncalibrated device, a detection position is determined within the charging area. The user is guided to place the mobile device at the detection position, and the Q-value of the detection position is collected. Based on the Q-value, a target Q-value is determined. A foreign object detection threshold corresponding to the mobile device is then determined based on the target Q-value. Finally, the mobile device is calibrated for charging based on the foreign object detection threshold. In this way, by collecting the Q-value of the detection position, determining the target Q-value, and then determining the foreign object detection threshold for the mobile device, charging calibration can be performed on the mobile device, enabling charging calibration for newly released mobile phone models after a vehicle's market launch or "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer.

[0025] like Figure 1 The diagram shown is a schematic representation of the implementation process of a charging calibration method provided in this application, which may specifically include the following steps: S101, if the mobile device in the charging area is identified as an uncalibrated device, determine the location to be detected in the charging area.

[0026] The aforementioned charging area refers to the specific physical space for wireless charging of mobile devices, namely the effective sensing area of ​​the charging panel, which serves as the energy output end for wireless charging. For example, the charging area provided by a wireless charging module inside a vehicle.

[0027] The aforementioned mobile devices refer to devices that support wireless charging, such as mobile phones, headphones, and smartwatches, which serve as energy receivers for wireless charging.

[0028] The aforementioned uncalibrated devices refer to mobile devices whose models are not stored in the vehicle wireless charging module calibration library (such as the preset calibration device database).

[0029] The aforementioned location to be detected refers to a specific point within the charging area that is predefined for collecting Q-value samples. It may include a regular charging location (the central area with the best energy transfer efficiency) and multiple extreme locations (such as the four corners, the midpoint of the edge, etc.). The Q-value characteristics of the mobile device at different locations in the charging area can be comprehensively obtained through the location to be detected. The specific location setting of the location to be detected is not limited in this application embodiment.

[0030] In this embodiment, when a mobile device in the charging area is identified as an uncalibrated device, a detection position is determined within the charging area. Specifically, when relevant information about the mobile device cannot be obtained from a preset calibration device database, the mobile device is identified as an uncalibrated device, and a corresponding detection position is determined within the charging area. The detection position can be determined using a preset 5-point sampling method, which uses the center point, upper left corner, upper right corner, lower left corner, and lower right corner of the charging area as the detection position. Alternatively, different detection positions can be determined based on the type of mobile device.

[0031] S102 guides the user to place the mobile device at the location to be detected.

[0032] In this embodiment, the user is guided to place the mobile device at the detection location. Specifically, the calibration guidance interface can be accessed through the vehicle's human-machine interface (such as a large in-vehicle screen), displaying a schematic diagram of the charging area, highlighting each detection location (such as the center location) where the mobile device needs to be placed, and providing text and / or voice prompts (such as "Please place your phone in the center area of ​​the charging pad"). Animation demonstrations can also be used to show the specific orientation and posture of the mobile device, but this embodiment does not limit this aspect.

[0033] For example, such as Figure 2 The diagram shows a human-computer interaction interface provided in this embodiment of the application. The central area is highlighted in blue, and a voice prompt, "Please align your phone with the central blue area," guides the user to place the mobile device at the detection location. After the user correctly places the device, a status feedback area displays "Placement correct," along with a green checkmark, and automatically redirects to the guidance interface displayed at the next detection location (e.g., the upper left corner). Each detection location has a timer area to display the waiting time (e.g., 15 seconds). If the waiting time exceeds the preset time, a new prompt is displayed to guide the user to place the mobile device at the detection location.

[0034] S103, collect the Q value of the location to be detected, and determine the target Q value based on the Q value of the location to be detected.

[0035] The Q value mentioned above refers to the quality factor of the transmitting coil in a wireless charging system, a physical quantity that reflects the electromagnetic characteristics of the coil system. When a metallic foreign object or different receiving devices enter the magnetic field, energy loss changes, causing a decrease or change in the Q value. The Q value at the detection location is used as the primary sensing signal for foreign object detection. The presence of a foreign object is determined by monitoring whether the change in the Q value exceeds a threshold. Specifically, the transmitting coil can be switched to measurement mode by the wireless charging controller, and the Q value at the detection location can be calculated by measuring the voltage, current, or bandwidth parameters of the resonant circuit.

[0036] The aforementioned target Q value refers to the benchmark of the overall Q value of the wireless charging system's transmitting coil when the mobile device is in a "no foreign object" state.

[0037] In this embodiment of the application, after the user places the mobile device in each detection location in sequence as guided, the control unit of the wireless charging module drives the transmitting coil to work, collects the Q value of the detection location, and determines the target Q value based on the Q value of the detection location.

[0038] S104, Determine the foreign object detection threshold corresponding to the mobile device based on the target Q value.

[0039] In this embodiment of the application, based on the target Q value determined in the above steps, a foreign object detection threshold corresponding to the mobile device is determined. The foreign object detection threshold is used to represent the allowable range threshold of the coil Q value under normal charging conditions (no foreign object). Based on the foreign object detection threshold, it can be determined whether there is a metal foreign object in the mobile device during wireless charging. When the Q value of the mobile device exceeds the foreign object detection threshold during wireless charging, it is determined that there is a metal foreign object, and charging is immediately stopped or an alarm is triggered to ensure safety. This achieves accurate and reliable foreign object detection, ensuring safety while avoiding misjudgment that could lead to charging interruption.

[0040] S105, calibrates the charging of the mobile device based on the foreign object detection threshold.

[0041] In this embodiment, the mobile device is calibrated for charging based on a foreign object detection threshold. The foreign object detection threshold and related information about the mobile device can be stored in a vehicle wireless charging module calibration library (such as a preset calibration device database). This allows the foreign object detection threshold to be directly invoked for foreign object detection the next time the mobile device is charged, ensuring charging safety.

[0042] Based on the above description of the technical solution provided in the embodiments of this application, when a mobile device in the charging area is identified as an uncalibrated device, a detection position is determined in the charging area, the user is guided to place the mobile device at the detection position, the Q value of the detection position is collected, and a target Q value is determined based on the Q value of the detection position. According to the target Q value, a foreign object detection threshold corresponding to the mobile device is determined, and the mobile device is calibrated for charging based on the foreign object detection threshold. In this way, by collecting the Q value of the detection position, determining the target Q value, and determining the foreign object detection threshold corresponding to the mobile device for charging calibration, charging calibration can be achieved for newly released mobile phone models after the vehicle model is launched, or for "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer.

[0043] like Figure 3The diagram shown illustrates the implementation flow of another charging calibration method provided in this application, which may specifically include the following: S301, if the mobile device in the charging area is identified as an uncalibrated device, a detection position is determined in the charging area, wherein the detection position includes a first detection position and at least two second detection positions.

[0044] In this embodiment, when a mobile device in the charging area is identified as an uncalibrated device, a detection position is determined in the charging area. This detection position includes a first detection position and at least two second detection positions. Specifically, when relevant information about the mobile device cannot be obtained from a preset calibration device database, the mobile device is identified as an uncalibrated device, and the corresponding detection position for the mobile device is determined in the charging area.

[0045] For details on how to identify unlabeled mobile devices in the charging area, please refer to... Figure 4 The method shown. (As illustrated) Figure 4 The diagram shown illustrates the implementation flow of a mobile device identification method provided in this application, which may specifically include the following steps: S401, Obtain the identification information of the mobile device.

[0046] In this embodiment, after a mobile device is placed in the charging area, the wireless charging controller can communicate with the mobile device via a wireless charging protocol (such as the WPC Qi protocol). During this process, the mobile device can send its configuration information to the wireless charging controller via communication modulation. This configuration information includes the mobile device's identification information. After receiving the configuration information, the wireless charging controller retrieves the mobile device's identification information from it. The mobile device's identification information can be understood as information representing the mobile device's identity or model, such as manufacturer code, device model identifier, device serial number, hardware version number, etc. This embodiment does not limit this specific information.

[0047] S402, Identify the mobile device based on the preset calibration device database and the identification information of the mobile device.

[0048] In this embodiment, the mobile device can be identified based on the identification information of the mobile device obtained in the above steps and a preset calibration device database. The preset calibration device database is a data table pre-stored in the non-volatile memory (such as EEPROM or Flash) of the vehicle's wireless charging module, used to store information and calibration parameters of all mobile devices that have completed the calibration process. Each record contains the identification information (key) of a mobile device and its corresponding calibration parameters (values, such as target Q-value, foreign object detection threshold, etc.). Specifically, the identification information of the mobile device is retrieved and compared in the preset calibration device database to determine whether the mobile device already exists in the database.

[0049] S403 If no data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device will be identified as an uncalibrated device.

[0050] In this embodiment of the application, if no data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device is identified as an uncalibrated device.

[0051] S404 If data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device is identified as a calibrated device.

[0052] In this embodiment of the application, if data matching the identification information of a mobile device is found in the preset calibration device database, the mobile device is identified as a calibrated device.

[0053] For details on determining the location to be detected within the charging area, please refer to the following: Figure 5 The method shown. (As illustrated) Figure 5 The diagram shown illustrates the implementation flow of a method for determining the location to be detected according to an embodiment of this application, which may specifically include the following steps: S501 determines the center of the charging area as the first detection position.

[0054] In this embodiment of the application, the center position of the charging area can be determined as the first detection position. Specifically, the center point coordinates can be determined according to the parameters of the charging area, and combined with the size information of the mobile device, an area matching the size information of the mobile device can be formed in the vicinity of the center point coordinates as a reference, which is the first detection position.

[0055] For example, if the center point coordinates are (100mm, 50mm) and the mobile device's dimensions are 160mm in length and 75mm in width, then a rectangular area with a length of 160mm and a width of 75mm is determined as the first detection position, using the center point coordinates as the center.

[0056] S502, at least two diagonal or boundary points within the charging area are identified as at least two second detection locations.

[0057] In this embodiment, at least two diagonal or boundary points within the charging area can be identified as at least two second detection locations. Here, diagonal or boundary points refer to predefined coordinate points used to characterize the limit range of the charging area.

[0058] In another embodiment of this application, if the charging area is non-rectangular (such as circular or irregular in shape), the first detection position (such as the geometric center) and the second detection position (such as the boundary division points) can be adaptively determined based on the shape characteristics. For example, for a circular charging area, the first detection position can be the center of the circle, and the second detection position can be the four division points on the circumference.

[0059] In another embodiment of this application, the position to be detected can be manually added or adjusted by the user through the vehicle interface, for example, adding the position to be detected for common placement habits (such as tilting).

[0060] In another embodiment of this application, the location to be detected is determined in the charging area, as detailed below. Figure 6 The method shown. (As illustrated) Figure 6 The diagram shown illustrates the implementation flow of another method for determining the location to be detected provided in this application, which may specifically include the following steps: S601, obtain the size information of the mobile device.

[0061] In this embodiment, the size information of the mobile device is obtained. This size information is used to characterize the physical size of the mobile device (such as length, width, and other physical dimensions). Specifically, the size information can be retrieved from a cloud database based on the acquired identification information of the mobile device. Alternatively, the response intensity of the mobile device can be detected based on the transmitting coils at different locations to estimate the outline and approximate size of the mobile device. The size information can also be obtained through manual input; however, this is not limited in this embodiment.

[0062] S602 generates a data acquisition path based on the size information of the mobile device and the boundary of the charging area.

[0063] In this embodiment, a sampling path is generated based on the size information of the mobile device and the boundary of the charging area. The sampling path is a virtual path formed by connecting multiple sampling points in a specific order. It is used to plan a sampling trajectory that efficiently covers all representative locations of the mobile device within the charging area, avoiding sampling in invalid areas (such as areas that are too peripheral for small devices), thereby improving the quality and efficiency of the calibration data.

[0064] Specifically, path planning can be performed by combining size information with the boundary coordinates of the charging area. Specific algorithms ensure that the points along the sampling path effectively reflect the electromagnetic characteristics of the mobile device in the center, edges, and transition areas of the region. These specific algorithms may include equidistant grid sampling algorithms, adaptive boundary buffering algorithms, key point determination algorithms based on historical data variance analysis, and hotspot area coverage algorithms determined by electromagnetic field simulation; however, this application does not limit the specific algorithms used.

[0065] For example, for a larger phone, the path will be closer to the boundary of the charging area; while for a smaller smartwatch, the path will shrink and be more concentrated in the center of the charging area.

[0066] S603 identifies multiple sampling points along the acquisition path as locations to be detected.

[0067] In this embodiment, multiple sampling points along the acquisition path are determined as the locations to be detected. Specifically, multiple sampling points can be selected from the acquisition path at a preset density (e.g., every 20 mm) as the locations to be detected.

[0068] Correspondingly, the vehicle's large screen can highlight an animated path with numbered points. The user is first guided to align the center of their mobile device with the starting point of the path (usually the central area), and then move to the next highlighted point on the path for sampling, until all points have been sampled.

[0069] In another embodiment of this application, the location to be detected is determined in the charging area, as detailed below. Figure 7 The method shown. (As illustrated) Figure 7 The diagram shown illustrates the implementation flow of another method for determining the location to be detected provided in this application, which may specifically include the following steps: S701, Obtain calibration data of a calibrated device with the same attributes as the mobile device.

[0070] In this embodiment, calibration data of calibrated devices with the same attributes as the mobile device can be obtained. These calibrated devices refer to mobile devices stored in a preset calibration device database that share the same or highly similar classification attributes (e.g., the same brand, the same model series) as the current mobile device, or have the same size and charging characteristics. Calibration data refers to the location-related raw Q-value dataset stored in historical successful calibration records.

[0071] Specifically, based on the identification information of the current mobile device (such as the manufacturer code), a fuzzy or precise match can be performed in the preset calibration device database to filter out a set of devices that meet the conditions (i.e., a group of mobile devices with the same attribute). Then, the calibration data of all mobile devices in the group can be retrieved from the calibration record database. The calibration data contains at least multiple Q-value samples collected by each mobile device at each preset sampling point.

[0072] For example, if the mobile device is "Model P" of "Brand C", the system can search the preset calibration device database for calibrated devices of "Brand C" and obtain the calibration data of the calibrated devices of "Brand C" from the calibration record database.

[0073] S702 determines at least two key location points based on calibration data.

[0074] In this embodiment, at least two key location points are determined based on calibration data. Specifically, at least two key location points can be determined by calculating the variance or standard deviation of the Q-values ​​of all mobile devices with the same attributes at each sampling location.

[0075] For example, for phones from "Brand B", the variance of the Q-values ​​at the "bottom right corner" and "top left corner" is much greater than at other positions. This indicates that these two positions best reflect the individual differences between different models of "Brand B". Therefore, the "bottom right corner" and "top left corner" can be considered as key position points.

[0076] S703 identifies at least two key location points as locations to be detected.

[0077] In this embodiment of the application, at least two key location points obtained in the above steps can be determined as the locations to be detected.

[0078] In another embodiment of this application, calibration data of the corresponding calibrated device can also be obtained based on the type of mobile device (such as mobile phone, watch), charging power level (such as 5W, 10W) ​​or coil material.

[0079] In another embodiment of this application, clustering algorithms (such as K-means) can also be used to group the calibration data and automatically identify key location points. For example, mobile devices can be divided into "high fluctuation group" and "low fluctuation group" based on Q value, and different detection locations can be recommended for each group.

[0080] S302 guides the user to place the mobile device at the location to be detected.

[0081] In this embodiment of the application, this step is similar to step S102 above, and will not be described in detail here.

[0082] S303, Collect the Q value of the mobile device placed at the first detection position.

[0083] In this embodiment, the Q value of the mobile device placed at the first detection position is collected. Specifically, after determining that the device has been stably placed at the first detection position by coil detection or a timer, the wireless charging controller drives the transmitting coil to switch to measurement mode. By measuring the voltage, current, or bandwidth parameters of the resonant circuit, the Q value corresponding to the first detection position is calculated. In addition, to improve data accuracy, multiple rapid samplings can be performed and the average value can be recorded as the Q value of the first detection position.

[0084] S304, Collect the Q value corresponding to each of the at least two second detection positions where the mobile device is placed.

[0085] In this embodiment, the Q values ​​corresponding to the mobile device being placed at at least two second detection positions are collected. Specifically, the wireless charging controller determines sequentially that the mobile device has been stably placed at each second detection position by coil detection or a timer, and then drives the transmitting coil to switch to measurement mode. By measuring the voltage, current, or bandwidth parameters of the resonant circuit, the Q value corresponding to each second detection position is calculated. In addition, to improve data accuracy, multiple rapid samplings can be performed and the average value can be taken, and the average value is recorded as the Q value of the corresponding second detection position.

[0086] Before each Q-value acquisition, the transmitting coil can be driven to measure the ambient Q-value under no-load conditions. When acquiring the actual device Q-value, a relative Q-value is determined to eliminate baseline drift caused by factors such as ambient temperature and humidity. For example, if the ambient Q-value measured under no-load conditions is 20, and the acquired Q-value is 215 after placing the mobile device, then the relative Q-value is 215-20=195, and the Q-value of the mobile device is 195.

[0087] Furthermore, the number of samples for each detection location can be dynamically determined based on the signal-to-noise ratio. For example, if the standard deviation of the first three samples in detection location 1 is greater than 10, the number of samples will be automatically increased to seven to ensure accuracy.

[0088] S305, the arithmetic mean of the Q value at the first detection position and the Q values ​​at at least two second detection positions is determined as the target Q value.

[0089] In this embodiment of the application, the arithmetic mean of the Q value of the first detection position and the Q values ​​corresponding to at least two second detection positions is determined as the target Q value. That is, the sum of the Q value of the first detection position and the Q values ​​corresponding to at least two second detection positions are taken as the average value, and the average value is determined as the target Q value.

[0090] In another embodiment of this application, the Q-values ​​at the first detection position and the Q-values ​​corresponding to at least two second detection positions can be sorted, and the maximum and minimum Q-values ​​can be removed. The average value of all Q-values ​​after removing the maximum and minimum Q-values ​​can then be summed and taken as the target Q-value. Statistical methods such as the Grubbs criterion can be introduced to automatically identify and remove all abnormal Q-values ​​that significantly deviate from the target population.

[0091] In another embodiment of this application, position weights can be introduced to determine the target Q value. Specifically, since the center position (the first detection position) is the most frequently used area in actual charging, its Q value can be set with a higher weight. The second detection position can be set with a lower weight.

[0092] For example, the Q-value weight for the center position is 0.5, and the weight for each of the two diagonal positions is 0.25. If the Q-value for the center position is 200, and the Q-values ​​for the two diagonal positions are 190 and 210 respectively, then the target Q-value = 200 × 0.5 + 190 × 0.25 + 210 × 0.25 = 200.

[0093] S306, Determine the foreign object detection threshold corresponding to the mobile device based on the target Q value.

[0094] In this embodiment of the application, the foreign object detection threshold corresponding to the mobile device can be determined based on the target Q value.

[0095] For details on how to determine the foreign object detection threshold for mobile devices based on the target Q value, please refer to [reference needed]. Figure 8 The method shown. (As illustrated) Figure 8 The diagram shown is a schematic representation of the implementation process of a foreign object detection threshold determination method provided in this application embodiment, which may specifically include the following steps: S801, obtain the preset offset coefficient.

[0096] In this embodiment, a preset offset coefficient is obtained. The preset offset coefficient is used to determine the foreign object detection threshold (e.g., it can be 10% or 20%).

[0097] Specifically, an offset coefficient table can be obtained by determining the dispersion of the Q-value at the first detection position and the Q-values ​​at at least two second detection positions. The dispersion is then matched with the offset coefficient table to obtain preset offset coefficients. The offset coefficient table contains the mapping relationship between the dispersion range and the preset offset coefficients. Dispersion is a statistical indicator used to quantify the degree of difference between the Q-value at the first detection position and the Q-values ​​at each of the second detection positions, measuring the stability and fluctuation range of the mobile device's Q-value within the charging area.

[0098] Specifically, the dispersion can be calculated as the difference between the maximum and minimum Q values ​​at the first detection position and each of the second detection positions. Alternatively, the dispersion can be calculated as the standard deviation of the dataset consisting of the Q values ​​at the first detection position and the Q values ​​at at least two second detection positions.

[0099] S802, based on the preset offset coefficient and the target Q value, obtain the foreign object detection threshold.

[0100] In this embodiment of the application, the foreign object detection threshold is obtained based on the preset offset coefficient and the target Q value.

[0101] Specifically, the preset offset coefficient and the target Q value can be input into the threshold upper limit formula to calculate the upper limit of foreign object detection. The threshold upper limit formula is as follows: ; in, This is the upper limit for foreign object detection. For the target Q value, This is the preset offset coefficient.

[0102] The preset offset coefficient and target Q value can be input into the threshold lower limit formula to calculate the foreign object detection lower limit. The threshold lower limit formula is as follows: ; in, This is the lower limit for foreign object detection. For the target Q value, This is the preset offset coefficient.

[0103] The upper limit of foreign object detection is used as the upper limit of the foreign object detection threshold, and the lower limit of foreign object detection is used as the lower limit of the foreign object detection threshold.

[0104] For example, if the target Q value is 200 and the preset offset coefficient is 10%, then the upper limit of the foreign object detection threshold is 220 and the lower limit of the foreign object detection threshold is 180. Therefore, based on the preset offset coefficient and the target Q value, the foreign object detection threshold is (180, 220).

[0105] S307 calibrates the charging of mobile devices based on foreign object detection thresholds.

[0106] In this embodiment, charging calibration of a mobile device can be performed based on a foreign object detection threshold. Specifically, the identification information of the mobile device can be obtained; the foreign object detection threshold and the identification information of the mobile device are correlated to obtain the detection information corresponding to the mobile device; and charging calibration of the mobile device is performed based on the detection information.

[0107] Specifically, the identification information of the mobile device can be used as the primary key, and the foreign object detection threshold can be used as the corresponding value to form a calibration record, which is then written into a preset calibration device database.

[0108] In another embodiment of this application, the charging calibration of the mobile device can be performed based on the target Q value and the foreign object detection threshold.

[0109] For details on how to calibrate mobile device charging based on the target Q-value and foreign object detection threshold, please refer to [reference needed]. Figure 9 The method shown. (As illustrated) Figure 9 The diagram shown is a schematic representation of the implementation process of a mobile device charging calibration method provided in this application embodiment, which may specifically include the following steps: S901 correlates the target Q value with the foreign object detection threshold to obtain the charging calibration information of the mobile device.

[0110] In this embodiment, the target Q-value and the foreign object detection threshold are correlated to obtain the charging calibration information of the mobile device. Specifically, the target Q-value and the foreign object detection threshold can be encapsulated as structured data to serve as the charging calibration information of the mobile device.

[0111] S902, Obtain the identification information of the mobile device.

[0112] This step is similar to step S401 above, and will not be described in detail here.

[0113] S903 performs charging calibration on the mobile device based on the mobile device's charging calibration information and the mobile device's identification information.

[0114] In this embodiment, the mobile device is calibrated for charging based on its charging calibration information and identification information. Specifically, the identification information of the mobile device can be used as the primary key, and the charging calibration information as the corresponding value to form a calibration record, which is then written to a preset calibration device database. This allows the system to directly retrieve the dedicated charging calibration information from the preset calibration device database when the same mobile device with the same identification information is subsequently identified, and to apply the parameters therein for efficient power transmission and accurate foreign object detection, without requiring user intervention in the calibration process again.

[0115] Based on the above description of the technical solution provided in the embodiments of this application, when a mobile device in the charging area is identified as an uncalibrated device, a detection position is determined in the charging area, the user is guided to place the mobile device at the detection position, the Q value of the detection position is collected, and a target Q value is determined based on the Q value of the detection position. According to the target Q value, a foreign object detection threshold corresponding to the mobile device is determined, and the mobile device is calibrated for charging based on the foreign object detection threshold. In this way, by collecting the Q value of the detection position, determining the target Q value, and determining the foreign object detection threshold corresponding to the mobile device for charging calibration, charging calibration can be achieved for newly released mobile phone models after the vehicle model is launched, or for "niche models" that have not been pre-tested and calibrated by the vehicle manufacturer.

[0116] Corresponding to the above method embodiments, this application also provides a charging calibration device, such as... Figure 10 As shown, the device may include a position determination module 1001, a guidance module 1002, a target Q value determination module 1003, a foreign object detection threshold determination module 1004, and a charging calibration module 1005.

[0117] The location determination module 1001 is used to determine the location to be detected in the charging area when the mobile device in the charging area is identified as an uncalibrated device; The guidance module 1002 is used to guide the user to place the mobile device at the location to be detected; The target Q-value determination module 1003 is used to collect the Q-value of the position to be detected and determine the target Q-value based on the Q-value of the position to be detected. Foreign object detection threshold determination module 1004 is used to determine the foreign object detection threshold corresponding to the mobile device based on the target Q value; The charging calibration module 1005 is used to calibrate the charging of mobile devices based on the foreign object detection threshold.

[0118] This application also provides a vehicle, such as... Figure 11 As shown, it includes a processor 1101, a communication interface 1102, a memory 1103, and a communication bus 1104. The processor 1101, communication interface 1102, and memory 1103 communicate with each other via the communication bus 1104. Memory 1103 is used to store computer programs; In one embodiment of this application, when the processor 1101 executes the program stored in the memory 1103, it performs the following steps: If the mobile device in the charging area is identified as an uncalibrated device, a detection position is determined in the charging area, the user is guided to place the mobile device at the detection position, the Q value of the detection position is collected, and a target Q value is determined based on the Q value of the detection position. According to the target Q value, the foreign object detection threshold corresponding to the mobile device is determined, and the mobile device is calibrated for charging according to the foreign object detection threshold.

[0119] The communication bus mentioned in the above vehicles can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not indicate that there is only one bus or one type of bus.

[0120] The communication interface is used for communication between the aforementioned vehicle and other devices.

[0121] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0122] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0123] In another embodiment provided in this application, a storage medium is also provided, which stores instructions that, when run on a computer, cause the computer to execute any of the charging calibration methods described in the above embodiments.

[0124] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform any of the charging calibration methods described in the above embodiments.

[0125] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted from one storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0126] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0127] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0128] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application are included within the protection scope of this application.

Claims

1. A charging calibration method, characterized in that, The method includes: If the mobile device in the charging area is identified as an uncalibrated device, the location to be detected is determined in the charging area; Guide the user to place the mobile device at the location to be detected; Collect the Q value of the location to be detected, and determine the target Q value based on the Q value of the location to be detected; Based on the target Q value, determine the foreign object detection threshold corresponding to the mobile device; The mobile device is calibrated for charging based on the foreign object detection threshold.

2. The method according to claim 1, characterized in that, Before executing the method, the following is also included: Obtain the identification information of the mobile device; The mobile device is identified based on a preset calibration device database and the identification information of the mobile device; If no data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device will be identified as an uncalibrated device. If data matching the identification information of the mobile device is found in the preset calibration device database, the mobile device is identified as a calibrated device.

3. The method according to claim 1, characterized in that, The location to be detected includes a first detection location and at least two second detection locations. Determining the location to be detected in the charging area includes: The center position of the charging area is determined as the first detection position; At least two diagonal or boundary points within the charging area are identified as the at least two second detection positions.

4. The method according to claim 3, characterized in that, The step of acquiring the Q value of the location to be detected and determining the target Q value based on the Q value of the location to be detected includes: Collect the Q value of the mobile device placed at the first detection position; Collect the Q value corresponding to each of the at least two second detection positions where the mobile device is placed; The target Q value is determined by the arithmetic mean of the Q value at the first detection position and the Q values ​​at each of the at least two second detection positions.

5. The method according to claim 1, characterized in that, The step of determining the foreign object detection threshold corresponding to the mobile device based on the target Q value includes: Get the preset offset coefficient; The foreign object detection threshold is obtained based on the preset offset coefficient and the target Q value.

6. The method according to claim 5, characterized in that, The location to be detected includes a first detection location and at least two second detection locations. Obtaining the preset offset coefficient includes: Determine the dispersion of the Q value at the first detection position from the Q values ​​corresponding to each of the at least two second detection positions; Obtain the offset coefficient table; The dispersion is matched with the offset coefficient table to obtain the preset offset coefficient.

7. The method according to claim 1, characterized in that, The step of calibrating the charging of the mobile device based on the foreign object detection threshold includes: Obtain the identification information of the mobile device; The foreign object detection threshold is associated with the identification information of the mobile device to obtain the detection information corresponding to the mobile device; Based on the detection information corresponding to the mobile device, the mobile device is calibrated for charging.

8. The method according to claim 1, characterized in that, Determining the location to be detected in the charging area includes: Obtain the size information of the mobile device; A data acquisition path is generated based on the size information of the mobile device and the boundary of the charging area. Multiple sampling points along the acquisition path are identified as the locations to be detected.

9. The method according to claim 1, characterized in that, Determining the location to be detected in the charging area includes: Obtain calibration data from calibrated devices with the same attributes as the mobile device; At least two key location points are determined based on the calibration data; The at least two key location points are determined as the locations to be detected.

10. A charging calibration device, characterized in that, The device includes: A location determination module is used to determine the location to be detected in the charging area when the mobile device in the charging area is identified as an uncalibrated device. A guidance module is used to guide the user to place the mobile device at the location to be detected; The target Q-value determination module is used to collect the Q-value of the location to be detected and determine the target Q-value based on the Q-value of the location to be detected. The foreign object detection threshold determination module is used to determine the foreign object detection threshold corresponding to the mobile device based on the target Q value; The charging calibration module is used to calibrate the charging of the mobile device based on the foreign object detection threshold.

Images