Foreign matter detection method, device and system for wireless charging and electronic equipment

Abstract

The invention provides a foreign matter detection method, device and system for wireless charging and electronic equipment. According to the specific implementation scheme, the foreign matter detection method for wireless charging comprises the steps that multiple frames of first thermal images in the process that a current vehicle is parked in a wireless charging parking space are obtained, and the multiple frames of first thermal images are aerial views of a transmitting coil module containing the wireless charging parking space; and according to the first image information of the multiple frames of first thermal images, foreign matter detection is carried out on the transmitting coil module before charging so as to determine whether foreign matters exist on the surface of the transmitting coil module. According to the scheme disclosed by the invention, the robustness and accuracy of foreign matter detection during wireless charging of the vehicle can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wireless charging, and in particular to a foreign object detection method, device, system and electronic device for wireless charging. Background Art

[0002] Wireless charging technology, also known as wireless energy transmission technology, is a technology that transmits electrical energy wirelessly. It does not require the use of traditional power cables and chargers. As long as the vehicle is in the charging area, it can automatically obtain charging energy. Summary of the invention

[0003] The present disclosure provides a foreign object detection method, device, system and electronic device for wireless charging to solve or alleviate one or more technical problems in the prior art.

[0004] In one aspect, the present disclosure provides a foreign object detection method for wireless charging, comprising:

[0005] Acquire multiple frames of first thermal imaging images during the process of the current vehicle parking in the wireless charging parking space, wherein the multiple frames of first thermal imaging images are all bird's-eye views of the transmitting coil module of the wireless charging parking space; and

[0006] According to the first image information of the multiple frames of the first thermal imaging images, a foreign object detection is performed on the transmitting coil module before charging to determine whether there is a foreign object on the surface of the transmitting coil module.

[0007] In another aspect, the present disclosure provides a wireless charging foreign object detection device, comprising:

[0008] A first acquisition module, configured to acquire multiple frames of first thermal imaging images during a process in which the current vehicle is parked in the wireless charging parking space, wherein the multiple frames of first thermal imaging images are all bird's-eye views of the transmitting coil module of the wireless charging parking space; and

[0009] The first detection module is used to perform foreign matter detection on the transmitting coil module before charging according to the first image information of the multiple frames of the first thermal imaging images, so as to determine whether there is foreign matter on the surface of the transmitting coil module.

[0010] In another aspect, the present disclosure provides a wireless charging foreign object detection system, comprising:

[0011] A thermal imaging acquisition device for acquiring a bird's-eye view of the transmitting coil module of the wireless charging parking space; and

[0012] A foreign object detection device for wireless charging, electrically connected to the thermal imaging acquisition device, and used to perform the foreign object detection method for wireless charging of any embodiment of the present disclosure;

[0013] Among them, the thermal imaging acquisition device is arranged on the vehicle or the wireless charging parking space for wireless charging; the foreign object detection device for wireless charging is arranged on the vehicle or the wireless charging parking space.

[0014] In another aspect, the present disclosure provides an electronic device, comprising:

[0015] At least one processor. And

[0016] A memory in communication with the at least one processor.

[0017] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of any embodiment of the present disclosure.

[0018] On the other hand, the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any embodiment of the present disclosure.

[0019] On the other hand, the present disclosure provides a computer program product, including a computer program, which implements the method according to any embodiment of the present disclosure when executed by a processor.

[0020] According to the solution of the present disclosure, the robustness and accuracy of foreign object detection during wireless charging of a vehicle can be improved.

[0021] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments provided according to the present disclosure and should not be regarded as limiting the scope of the present disclosure.

[0023] Figure 1 It is a flow chart of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0024] Figure 2 is a schematic diagram of an application of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0025] Figure 3a is a schematic diagram of an application of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0026] Figure 3bis a schematic diagram of an application of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0027] Figure 4 It is a flow chart of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0028] Figure 5 is a schematic diagram of a foreign object detection device for wireless charging according to an embodiment of the present disclosure.

[0029] Figure 6 is a schematic diagram of a foreign object detection system for wireless charging according to an embodiment of the present disclosure.

[0030] Figure 7 The block diagram is a block diagram of an electronic device for implementing the foreign object detection method for wireless charging according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] The present disclosure will be further described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0032] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0033] like Figure 1 As shown, the embodiment of the present disclosure provides a foreign object detection method for wireless charging, comprising:

[0034] Step S101: obtaining a plurality of first thermal imaging frames during a process in which a current vehicle is parked in a wireless charging parking space, wherein the plurality of first thermal imaging frames are all bird's-eye views of a transmitting coil module including the wireless charging parking space.

[0035] Step S102: performing foreign matter detection on the transmitting coil module before charging according to the first image information of the multiple frames of first thermal imaging images to determine whether there is foreign matter on the surface of the transmitting coil module.

[0036] According to the embodiments of the present disclosure, it should be noted that:

[0037] The first thermal image is taken by the thermal imaging acquisition device from above the transmitting coil module, thereby obtaining a bird's-eye view of the transmitting coil module. The angle and orientation of the thermal imaging acquisition device to photograph the transmitting coil module are not specifically limited here. For example, the thermal imaging acquisition device can take an oblique shot of the entire transmitting coil module from a corner of the transmitting coil module. For another example, the thermal imaging acquisition device can take an oblique shot of the entire transmitting coil module from one side of the transmitting coil module. The thermal imaging acquisition device can be set on the chassis of the current vehicle or slidably set on the side of the wireless charging parking space.

[0038] When the current vehicle is parked in the wireless charging parking space, the thermal imaging acquisition device moves with the current vehicle, thereby photographing the transmitting coil module from far to near, and then obtaining multiple frames of the first thermal imaging image. Figure 2 As shown, 1 is the wireless charging parking space, 2 is the current vehicle, 3 is the transmitting coil module, 4 is the thermal imaging acquisition device, and 5 is the shooting range of the thermal imaging acquisition device. Figure 2 The figure shows three parking moments of the current vehicle 2 in the process of parking in the wireless charging parking space 1 from left to right. Specifically, the leftmost shows the first moment when the current vehicle 2 just parks in the wireless charging parking space 1, the middle shows the second moment when the current vehicle 2 parks in the wireless charging parking space 1, and the rightmost shows the third moment when the current vehicle 3 is completely parked in the wireless charging parking space 1 and stops. At the first moment, the second moment, and the third moment, the transmitting coil module 3 is photographed by the thermal imaging acquisition device 4, respectively, so as to obtain three frames of first thermal imaging images taken from far to near.

[0039] The first image information may be understood as direct information or indirect information related to temperature. For example, the first image information may include temperature information of different position areas in the first thermal image. For another example, the first image information may include first category information of objects included in the first image obtained based on temperature information of different areas and area contour information, and the first category information is used to indicate the type of the object included in the first image (living body, metal, transmitting coil module itself).

[0040] Foreign object detection can be understood as detecting whether there is metal or living matter on the surface of the transmitting coil module.

[0041] In the prior art, the energy transmission of wireless charging depends on the high-frequency and high-intensity electromagnetic field distributed around the magnetic field coil (transmitting coil module). When a foreign object enters the charging range of the magnetic field coil, an eddy current will be generated inside it. For metal foreign objects with large impedance, the eddy current will cause a large amount of heat loss. Long-term heating is prone to the dangerous situation of burning the wireless charging system or the object using electricity. Therefore, it is necessary to detect metal foreign objects before and during charging to discover safety hazards in time. In addition, the high-frequency and high-intensity electromagnetic field generated by the wireless charging system during operation will heat the water molecules in the cells of the living foreign objects, thereby causing fatal damage to the living foreign objects. The technology of the embodiment of the present disclosure can effectively solve the above problems. According to the technology of the embodiment of the present disclosure, in the process of the current vehicle parking in the wireless charging parking space, multiple first image information of multiple frames of first thermal imaging images containing the transmitting coil module taken from far to near can be used to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By detecting foreign objects before charging, it is possible to prevent them before they happen and improve the safety of wireless charging of vehicles. At the same time, the use of thermal imaging technology and comprehensive judgment of multiple frames of images can reduce the impact of the surrounding environment on the detection results, and improve the robustness of foreign object detection during wireless charging of the vehicle and its robustness in environmental changes. In addition, since multiple frames of images are taken from far to near, foreign object detection can be performed on the transmitting coil module from different distances and viewing angles, which solves the problem of blind spots for small foreign objects at the edge of the coil, that is, the range of foreign object detection can accurately cover the entire outer surface of the transmitting coil module. In addition, since both metal foreign objects and living bodies have their own temperature, the method of the disclosed embodiment can be used to simultaneously solve the safe charging detection needs of foreign object detection and living body detection.

[0042] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, wherein step S102: performing foreign object detection on the transmitting coil module before charging according to the first image information of the multiple frames of the first thermal imaging image, includes:

[0043] Step S1021: Acquire multiple frames of second thermal imaging images during the process of the last vehicle parking out of the wireless charging parking space.

[0044] Step S1022: comparing the first image information of the multiple frames of the first thermal imaging images with the second image information of the multiple frames of the second thermal imaging images to perform foreign object detection on the transmitting coil module before charging.

[0045] According to the embodiments of the present disclosure, it should be noted that:

[0046] When the previous vehicle parks out of the wireless charging parking space, the thermal imaging acquisition device moves with the previous vehicle, thereby photographing the transmitting coil module from near to far, and then obtaining multiple frames of second thermal imaging images.

[0047] When the wireless charging parking space is a private charging parking space, the previous vehicle and the current vehicle are the same vehicle. The multiple frames of the second thermal image can be understood as multiple frames of images taken during the last time the current vehicle finished charging in the wireless charging parking space and parked out of the wireless charging parking space.

[0048] When the wireless charging parking space is a public charging parking space, the last vehicle that was charged in the wireless charging parking space before the current vehicle is charged in the wireless charging parking space is the previous vehicle. The multiple frames of the second thermal imaging image can be understood as multiple frames of images taken during the process of the last vehicle that was charged in the wireless charging parking space finishing charging and parking out of the wireless charging parking space.

[0049] The second image information may be understood as direct information or indirect information related to temperature. For example, the second image information may include temperature information of different position areas in the second thermal image. For another example, the second image information may include second category information of objects included in the second image obtained based on temperature information of different areas and area contour information, and the second category information is used to indicate the type of objects included in the second image (living body, metal, transmitting coil module itself).

[0050] According to the technology of the embodiment of the present disclosure, the last vehicle was able to complete charging and park out in the wireless charging parking space, indicating that there was no foreign matter on the surface of the transmitting coil module when the last vehicle was charging. Therefore, the image content reflected by the multiple frames of the second thermal imaging image obtained when the last vehicle was parked out must also be a normal image of the transmitting coil module when there is no foreign matter. By comparing the multiple frames of normal images as a reference with the multiple frames of the first thermal imaging image obtained when the current vehicle was parked in, it is possible to more accurately detect whether there is a foreign matter on the surface of the transmitting coil module before charging. In addition, since the first thermal imaging image and the second thermal imaging image are multiple frames of images taken from far to near (from near to far), the transmitting coil module can be detected for foreign matter from different distances and viewing angles, solving the problem of small foreign matter having a blind spot at the edge of the coil, that is, the range of foreign matter detection can accurately cover the entire outer surface of the transmitting coil module, and at the same time can reduce the impact of the surrounding environment on the detection results, thereby improving the robustness of foreign matter detection during vehicle wireless charging and the robustness in environmental changes.

[0051] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, and steps S1021 and S1022, wherein step S1022: comparing first image information of multiple frames of first thermal imaging images with second image information of multiple frames of second thermal imaging images to perform foreign object detection on the transmitting coil module before charging, includes:

[0052] Step S10221: Based on the first image information of the multiple frames of first thermal imaging images, the multiple frames of first thermal imaging images are merged into a first image.

[0053] Step S10222: Based on the second image information of the multiple frames of second thermal imaging images, the multiple frames of second thermal imaging images are merged into a second image.

[0054] Step S10223: Compare the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging.

[0055] According to the embodiments of the present disclosure, it should be noted that:

[0056] Since the multiple frames of the first thermal imaging images are taken from far to near at different times during the process of the current vehicle parking in the wireless charging parking space, the fused first image can be a three-dimensional image.

[0057] Since the multiple frames of the second thermal imaging images are taken from near to far at different times during the process of the previous vehicle parking out of the wireless charging parking space, the fused second image can also be a three-dimensional image.

[0058] The third image information of the first image includes the first image information of multiple frames of the first thermal imaging images, so the third image information can completely reflect the foreign matter situation on the surface of the entire transmitting coil module.

[0059] The fourth image information of the second image includes the second image information of multiple frames of the second thermal imaging images, so the fourth image information can completely reflect the foreign matter situation on the surface of the entire transmitting coil module.

[0060] According to the technology of the embodiment of the present disclosure, the two fused images are compared to detect foreign objects on the transmitting coil module, which can improve the computing efficiency and reduce the resource usage. At the same time, since the first image and the second image are obtained by fusing multiple frames of thermal imaging images, the first image and the second image still contain the required image information, and even if the two fused images are compared, the foreign object detection on the surface of the transmitting coil module can be accurately realized.

[0061] In one implementation, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, steps S1021 and S1022, and steps S10221 to S10223, wherein step S10223: comparing the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging, includes:

[0062] First temperature information of different image areas in the first image is determined according to the third image information of the first image.

[0063] Second temperature information of different image areas in the second image is determined according to fourth image information of the second image.

[0064] The first temperature information is compared with the second temperature information to perform foreign object detection on the transmitting coil module before charging.

[0065] According to the embodiments of the present disclosure, it should be noted that:

[0066] By comparing the first temperature information and the second temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. When the temperature rise change value exceeds the temperature change threshold, and / or when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object. Figure 3a As shown, 10 is the first image, 20 is the photographed transmitting coil module, and 30 is different image regions of the transmitting coil module (i.e., complete and incomplete circles and ellipses in the figure). Similarly, the second image also has Figure 3a The same image area can be compared one by one to detect foreign objects.

[0067] According to the technology of the embodiments of the present disclosure, by comparing the first image captured before the current vehicle is wirelessly charged in the wireless charging parking space with the historical data (i.e., the second image), it is possible to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By performing foreign object detection before charging, it is possible to prevent problems before they occur and improve the safety of vehicle wireless charging.

[0068] In one implementation, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, steps S1021 and S1022, and steps S10221 to S10223, wherein step S10223: comparing the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging, includes:

[0069] Comparing the third image information of the first image with the fourth image information of the second image to detect foreign objects on the transmitting coil module before charging, including:

[0070] First category information of an object included in the first image is determined according to the third image information of the first image.

[0071] Second category information of the object contained in the second image is determined according to the fourth image information of the second image.

[0072] The first category information is compared with the second category information to perform foreign object detection on the transmitting coil module before charging.

[0073] According to the embodiments of the present disclosure, it should be noted that:

[0074] The third image information may include temperature information of different regions in the first image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the first image contains metal foreign matter or a living body, thereby further determining the first category information based on the identification result.

[0075] The fourth image information may include temperature information of different regions in the second image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the second image contains metal foreign matter or a living body, thereby further determining the second category information based on the identification result.

[0076] like Figure 3b As shown, 10 is the first image, 20 is the photographed transmitting coil module, A, B, C, D, E, F are the different divided areas, and 40 is the metal foreign body identified based on the temperature information and contour information of area A. Similarly, the second image also has Figure 3b The corresponding area is divided, but there is no foreign object in the second image. By comparing the first image with the second image, foreign object detection can be achieved.

[0077] According to the technology of the embodiments of the present disclosure, since the second image is an image when there is no foreign matter on the surface of the transmitting coil module, the second category information of different areas in the second image does not contain metal foreign matter or living foreign matter. On this basis, by comparing the first image collected before the current vehicle is wirelessly charged in the wireless charging parking space with the historical data (i.e., the second image), it is possible to more accurately detect whether there is foreign matter on the surface of the transmitting coil module. By performing foreign matter detection before charging, it is possible to prevent problems before they occur and improve the safety of vehicle wireless charging.

[0078] In one implementation, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, steps S1021 and S1022, and steps S10221 to S10223, wherein step S10223: comparing the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging, includes:

[0079] According to the third image information of the first image, first temperature information of different image regions in the first image and first category information of the object contained in the first image are determined.

[0080] According to the fourth image information of the second image, second temperature information of different image regions in the second image and second category information of the object contained in the second image are determined.

[0081] The first temperature information is compared with the second temperature information, and the first category information is compared with the second category information, so as to perform foreign object detection on the transmitting coil module before charging.

[0082] According to the embodiments of the present disclosure, it should be noted that:

[0083] By comparing the first temperature information and the second temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. When the temperature rise change value exceeds the temperature change threshold, and / or when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object.

[0084] The third image information may include temperature information of different regions in the first image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the first image contains metal foreign matter or a living body, thereby further determining the first category information based on the identification result.

[0085] The fourth image information may include temperature information of different regions in the second image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the second image contains metal foreign matter or a living body, thereby further determining the second category information based on the identification result.

[0086] According to the technology of the embodiments of the present disclosure, by detecting foreign objects on the surface of the transmitting coil module in two dimensions, namely, temperature information and category information of the object in the image, it is possible to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By performing foreign object detection before charging, it is possible to prevent problems before they occur and improve the safety of wireless charging of vehicles.

[0087] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 and S102, wherein step S102: performing foreign object detection on the transmitting coil module before charging according to the first image information of the multiple frames of the first thermal imaging image, includes:

[0088] Based on the first image information of the multiple frames of first thermal imaging images, the multiple frames of first thermal imaging images are fused into a first image.

[0089] First category information of an object included in the first image is determined according to the third image information of the first image.

[0090] According to the first category information, foreign object detection is performed on the transmitting coil module before charging.

[0091] According to the embodiments of the present disclosure, it should be noted that:

[0092] The third image information may include temperature information of different regions in the first image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the first image contains metal foreign matter or a living body, thereby further determining the first category information based on the identification result.

[0093] According to the technology of the embodiment of the present disclosure, by detecting foreign objects on the surface of the transmitting coil module through the category information of the object in the figure, it is possible to accurately detect whether there are foreign objects on the surface of the transmitting coil module. By performing foreign object detection before charging, it is possible to prevent problems before they occur and improve the safety of wireless charging of vehicles.

[0094] In one embodiment, if Figure 4 As shown, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes step S101 and step S102, and further includes:

[0095] Step S103: when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging, a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space is obtained.

[0096] Step S104: Compare the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module.

[0097] Among them, the third thermal imaging image and the fourth thermal imaging image are bird's-eye views including the transmitting coil module, and the fourth thermal imaging image is an image collected when the current vehicle is parked in the wireless charging parking space.

[0098] According to the embodiments of the present disclosure, it should be noted that:

[0099] If it is determined through step S101 and step S102 that there is no foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, then step S103 and step S104 are continued to be executed. On the contrary, if it is determined through step S101 and step S102 that there is a foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, then the user is informed and wireless charging is not started.

[0100] If it is determined in step S104 that there is a foreign object on the transmitting coil module, the charging process is stopped and the user is informed.

[0101] The fifth image information may be understood as direct information or indirect information related to temperature. For example, the fifth image information may include temperature information of different position areas in the third thermal image. For another example, the fifth image information may include third category information of objects included in the third thermal image obtained based on temperature information of different areas and area contour information, and the third category information is used to indicate the type of object included in the third thermal image (living body, metal, transmitting coil module itself).

[0102] The sixth image information may be understood as direct information or indirect information related to temperature. For example, the sixth image information may include temperature information of different position areas in the fourth thermal image. For another example, the sixth image information may include fourth category information of objects included in the fourth thermal image obtained based on temperature information of different areas and area contour information, and the fourth category information is used to indicate the type of object included in the fourth thermal image (living body, metal, transmitting coil module itself).

[0103] According to the technology of the embodiment of the present disclosure, the current vehicle can complete parking and start charging in the wireless charging parking space, indicating that there is no foreign matter on the surface of the transmitting coil module when starting charging. Therefore, the image content reflected by the fourth thermal imaging image must also be a normal image of the transmitting coil module when there is no foreign matter. Comparing the third thermal imaging image collected at the current charging moment with the normal image (fourth thermal imaging image) without foreign matter as a reference can more accurately detect whether there is foreign matter on the surface of the transmitting coil module when the current vehicle is charging. At the same time, through steps S101 to S104, real-time foreign matter detection can be achieved throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0104] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S104: comparing the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0105] According to the fifth image information of the third thermal imaging image, third temperature information of different image areas in the third thermal imaging image is determined.

[0106] Fourth temperature information of different image areas in the fourth thermal imaging image is determined according to the sixth image information of the fourth thermal imaging image.

[0107] The third temperature information is compared with the fourth temperature information to perform foreign object detection on the transmitting coil module being charged.

[0108] According to the embodiments of the present disclosure, it should be noted that:

[0109] By comparing the third temperature information and the fourth temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. By comparing the same image area in the two one by one, when the temperature rise change value of a certain image area exceeds the temperature change threshold, and / or, when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object.

[0110] According to the technology of the embodiment of the present disclosure, the current vehicle is able to complete parking and start charging in the wireless charging parking space, which means that there is no foreign object on the surface of the transmitting coil module when starting charging. Therefore, the image content reflected by the fourth thermal imaging image must also be a normal image of the transmitting coil module when there is no foreign object. By comparing the third thermal imaging image collected at the current charging moment with the fourth thermal imaging image without foreign objects as a reference, it is possible to more accurately detect whether there is foreign object on the surface of the transmitting coil module when the current vehicle is charging.

[0111] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S104: comparing the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0112] According to the fifth image information of the third thermal imaging image, third category information of the object contained in the third thermal imaging image is determined.

[0113] Fourth category information of the object included in the fourth thermal imaging image is determined according to the sixth image information of the fourth thermal imaging image.

[0114] The third category information is compared with the fourth category information to perform foreign object detection on the transmitting coil module being charged.

[0115] According to the embodiments of the present disclosure, it should be noted that:

[0116] The fifth image information may include temperature information of different regions in the third thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the third thermal image contains a metal foreign body or a living body, thereby further determining the third category information based on the identification result.

[0117] The sixth image information may include temperature information of different regions in the fourth thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the fourth thermal image contains a metal foreign body or a living body, thereby further determining the fourth category information based on the identification result.

[0118] According to the technology of the embodiment of the present disclosure, the current vehicle is able to complete parking and start charging in the wireless charging parking space, which means that there is no foreign object on the surface of the transmitting coil module when starting charging. Therefore, the image content reflected by the fourth thermal imaging image must also be a normal image of the transmitting coil module when there is no foreign object. By comparing the third thermal imaging image collected at the current charging moment with the fourth thermal imaging image without foreign objects as a reference, it is possible to more accurately detect whether there is foreign object on the surface of the transmitting coil module when the current vehicle is charging.

[0119] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S104: comparing the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0120] According to the fifth image information of the third thermal imaging image, third temperature information of different image regions in the third thermal imaging image and third category information of the object contained in the third thermal imaging image are determined.

[0121] According to the sixth image information of the fourth thermal imaging image, fourth temperature information of different image regions in the fourth thermal imaging image and fourth category information of the object included in the fourth thermal imaging image are determined.

[0122] The third temperature information is compared with the fourth temperature information, and the third category information is compared with the fourth category information, so as to perform foreign object detection on the transmitting coil module being charged.

[0123] According to the embodiments of the present disclosure, it should be noted that:

[0124] By comparing the third temperature information and the fourth temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. By comparing the same image area in the two one by one, when the temperature rise change value of a certain image area exceeds the temperature change threshold, and / or, when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object.

[0125] The fifth image information may include temperature information of different regions in the third thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the third thermal image contains a metal foreign body or a living body, thereby further determining the third category information based on the identification result.

[0126] The sixth image information may include temperature information of different regions in the fourth thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the fourth thermal image contains a metal foreign body or a living body, thereby further determining the fourth category information based on the identification result.

[0127] According to the technology of the embodiments of the present disclosure, by detecting foreign objects on the surface of the transmitting coil module in two dimensions, namely, temperature information and category information of the objects in the image, it is possible to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By performing foreign object detection during charging, the wireless charging process of the vehicle can be monitored in real time, thereby improving the safety of wireless charging of the vehicle.

[0128] In one embodiment, if Figure 4 As shown, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes step S101 and step S102, and further includes:

[0129] Step S103: when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging, a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space is obtained.

[0130] Step S105: Compare the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module.

[0131] Among them, the fifth thermal imaging images are all bird's-eye views including the transmitting coil module, and the fifth thermal imaging images are images collected when the current vehicle is charging in the wireless charging parking space and the collection time is earlier than the third thermal imaging image.

[0132] According to the embodiments of the present disclosure, it should be noted that:

[0133] If it is determined through step S101 and step S102 that there is no foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, then step S103 and step S105 are continued to be executed. On the contrary, if it is determined through step S101 and step S102 that there is a foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, then the user is informed and wireless charging is not started.

[0134] If it is determined in step S105 that there is a foreign object on the transmitting coil module, the charging process is stopped and the user is informed.

[0135] The acquisition time of the fifth thermal image is earlier than that of the third thermal image. The specific acquisition time of the fifth thermal image can be determined according to the time requirement of the cycle detection. For example, if the surface of the transmitting coil module is inspected for foreign objects once every half a minute, the third thermal image is a bird's-eye view of the transmitting coil module acquired at the current moment, and the fifth thermal image is a bird's-eye view acquired half a minute ago, wherein the half-minute cycle detection time is only used for illustration.

[0136] The fifth image information may include temperature information of different regions in the third thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the third thermal image contains a metal foreign body or a living body, thereby further determining the third category information based on the identification result.

[0137] The seventh image information may include temperature information of different regions in the fifth thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the fifth thermal image contains a metal foreign body or a living body, thereby further determining the fifth category information based on the identification result.

[0138] According to the technology of the embodiment of the present disclosure, by comparing the third thermal image captured at the current charging moment with the fifth thermal image captured at a previous charging moment, it is possible to monitor in real time whether foreign matter appears on the surface of the transmitting coil module during a certain period of time when the current vehicle is charging, which is particularly suitable for detecting living bodies. At the same time, through steps S101 to S104, real-time foreign matter detection can be achieved throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0139] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101, S102, S103 and S105, wherein step S105: comparing the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0140] According to the fifth image information of the third thermal imaging image, third temperature information of different image areas in the third thermal imaging image is determined.

[0141] According to the seventh image information of the fifth thermal imaging image, fifth temperature information of different image areas in the fifth thermal imaging image is determined.

[0142] The third temperature information is compared with the fifth temperature information to perform foreign object detection on the transmitting coil module being charged.

[0143] According to the embodiments of the present disclosure, it should be noted that:

[0144] By comparing the third temperature information and the fifth temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. By comparing the same image area in the two one by one, when the temperature rise change value of a certain image area exceeds the temperature change threshold, and / or, when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object.

[0145] According to the technology of the embodiment of the present disclosure, by comparing the third thermal image captured at the current charging moment with the fifth thermal image captured at a previous moment, it is possible to monitor in real time whether foreign matter appears on the surface of the transmitting coil module during a certain period of time when the current vehicle is charging, which is particularly suitable for detecting living bodies. At the same time, through steps S101 to S104, real-time foreign matter detection can be achieved throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0146] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101, S102, S103 and S105, wherein step S105: comparing the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0147] The third category information of the object contained in the third thermal imaging image is determined according to the fifth image information of the third thermal imaging image.

[0148] According to the seventh image information of the fifth thermal imaging image, fifth category information of the object included in the fifth thermal imaging image is determined.

[0149] The third category information is compared with the fifth category information to perform foreign object detection on the transmitting coil module being charged.

[0150] According to the embodiments of the present disclosure, it should be noted that:

[0151] The fifth image information may include temperature information of different regions in the third thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the third thermal image contains a metal foreign body or a living body, thereby further determining the third category information based on the identification result.

[0152] The seventh image information may include temperature information of different regions in the fifth thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the fifth thermal image contains a metal foreign body or a living body, thereby further determining the fifth category information based on the identification result.

[0153] According to the technology of the embodiment of the present disclosure, by comparing the third thermal image captured at the current charging moment with the fifth thermal image captured at a previous moment, it is possible to monitor in real time whether foreign matter appears on the surface of the transmitting coil module during a certain period of time when the current vehicle is charging, which is particularly suitable for detecting living bodies. At the same time, through steps S101 to S104, real-time foreign matter detection can be achieved throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0154] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101, S102, S103 and S105, wherein step S105: comparing the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module during charging, including:

[0155] According to the fifth image information of the third thermal imaging image, third temperature information of different image regions in the third thermal imaging image and third category information of the object included in the third thermal imaging image are determined.

[0156] According to the seventh image information of the fifth thermal imaging image, fifth temperature information of different image regions in the fifth thermal imaging image and fifth category information of the object included in the fifth thermal imaging image are determined.

[0157] The third temperature information is compared with the fifth temperature information, and the third category information is compared with the fifth category information, so as to perform foreign object detection on the transmitting coil module being charged.

[0158] According to the embodiments of the present disclosure, it should be noted that:

[0159] By comparing the third temperature information and the fifth temperature information, the temperature rise change value and the temperature rise rate value of the same image area can be determined. A temperature change threshold and a temperature rise rate threshold can be preset for each image area. By comparing the same image area in the two one by one, when the temperature rise change value of a certain image area exceeds the temperature change threshold, and / or, when the temperature rise rate value exceeds the temperature rise rate threshold, it is determined that there is a foreign object on the transmitting coil module before charging, otherwise there is no foreign object.

[0160] The fifth image information may include temperature information of different regions in the third thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the third thermal image contains a metal foreign body or a living body, thereby further determining the third category information based on the identification result.

[0161] The seventh image information may include temperature information of different regions in the fifth thermal image and contour (area) information of different regions. Based on the temperature information and contour information, a pre-trained neural network model or algorithm may be used to identify whether the fifth thermal image contains a metal foreign body or a living body, thereby further determining the fifth category information based on the identification result.

[0162] According to the technology of the embodiments of the present disclosure, by detecting foreign objects on the surface of the transmitting coil module in two dimensions, namely, temperature information and category information of the objects in the image, it is possible to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By performing foreign object detection during charging, the wireless charging process of the vehicle can be monitored in real time, thereby improving the safety of wireless charging of the vehicle.

[0163] In one implementation, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes step S101 and step S102, and further includes:

[0164] Step S103: when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging, a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space is obtained.

[0165] Step S104: Compare the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module.

[0166] Step S105: When it is determined according to step S104 that there is no foreign matter on the surface of the transmitting coil, the fifth image information of the third thermal imaging image is compared with the seventh image information of the fifth thermal imaging image to perform foreign matter detection on the transmitting coil module being charged to determine whether there is foreign matter on the surface of the transmitting coil module.

[0167] Among them, the third thermal image, the fourth thermal image and the fifth thermal image are bird's-eye views including the transmitting coil module, the fourth thermal image is an image captured when the current vehicle is parked in the wireless charging parking space, and the fifth thermal image is an image captured when the current vehicle is charging in the wireless charging parking space and the acquisition time is earlier than the third thermal image.

[0168] According to the embodiments of the present disclosure, it should be noted that:

[0169] If it is determined by step S101 and step S102 that there is no foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, then continue to execute step S103 to step S105. On the contrary, if it is determined by step S101 and step S102 that there is a foreign matter on the transmitting coil module before the current vehicle is wirelessly charged, the user is informed and the wireless charging is not started. If it is determined by step S104 or S105 that there is a foreign matter on the transmitting coil module, the charging process is stopped and the user is informed.

[0170] According to the technology of the embodiment of the present disclosure, the third thermal imaging image collected at the current charging moment is compared with the fifth thermal imaging image collected at a previous charging moment, and the third thermal imaging image collected at the current charging moment is compared with the fourth thermal imaging image collected when charging is not started. It is possible to use the state of the surface of the transmitting coil module when not charging and the state of the surface of the transmitting coil module when charging as references to perform a double foreign object detection process, thereby improving the accuracy of foreign object detection.

[0171] It can monitor in real time whether there are foreign objects on the surface of the transmitting coil module during a certain period of time when the vehicle is being charged, which is particularly suitable for detecting living things. At the same time, through steps S101 to S104, real-time foreign object detection can be achieved throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0172] like Figure 5 As shown, the embodiment of the present disclosure provides a foreign object detection device for wireless charging, comprising:

[0173] The first acquisition module 510 is used to acquire multiple frames of first thermal imaging images during the process of the current vehicle parking in the wireless charging parking space, wherein the multiple frames of first thermal imaging images are all bird's-eye views of the transmitting coil module of the wireless charging parking space.

[0174] The first detection module 520 is used to perform foreign matter detection on the transmitting coil module before charging according to the first image information of the multiple frames of first thermal imaging images, so as to determine whether there is foreign matter on the surface of the transmitting coil module.

[0175] In one implementation, the first detection module 520 includes:

[0176] The first acquisition submodule is used to acquire multiple frames of second thermal imaging images during the process of a previous vehicle parking out of the wireless charging parking space.

[0177] The first comparison submodule is used to compare the first image information of the multiple frames of the first thermal imaging images with the second image information of the multiple frames of the second thermal imaging images to perform foreign body detection on the transmitting coil module before charging.

[0178] In one implementation, the first comparison submodule is used to:

[0179] The first fusion unit is used to fuse the multiple frames of first thermal imaging images into a first image based on the first image information of the multiple frames of first thermal imaging images.

[0180] The second fusion unit is used to fuse the multiple frames of second thermal imaging images into a second image based on the second image information of the multiple frames of second thermal imaging images.

[0181] The first comparison unit is used to compare the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging.

[0182] In one embodiment, the first comparison unit is used to:

[0183] First temperature information of different image areas in the first image is determined according to the third image information of the first image.

[0184] Second temperature information of different image areas in the second image is determined according to fourth image information of the second image.

[0185] The first temperature information is compared with the second temperature information to perform foreign object detection on the transmitting coil module before charging.

[0186] In one embodiment, the first comparison unit is used to:

[0187] First category information of an object included in the first image is determined according to the third image information of the first image.

[0188] Second category information of the object contained in the second image is determined according to the fourth image information of the second image.

[0189] The first category information is compared with the second category information to perform foreign object detection on the transmitting coil module before charging.

[0190] In one embodiment, the first comparison unit is used to:

[0191] According to the third image information of the first image, first temperature information of different image regions in the first image and first category information of the object contained in the first image are determined.

[0192] According to the fourth image information of the second image, second temperature information of different image regions in the second image and second category information of the object contained in the second image are determined.

[0193] The first temperature information is compared with the second temperature information, and the first category information is compared with the second category information, so as to perform foreign object detection on the transmitting coil module before charging.

[0194] In one implementation, the first detection module 520 includes:

[0195] The fusion submodule is used to fuse the multiple frames of first thermal imaging images into a first image based on the first image information of the multiple frames of first thermal imaging images.

[0196] The determination submodule is used to determine first category information of the object contained in the first image according to the third image information of the first image.

[0197] The detection submodule is used to perform foreign object detection on the transmitting coil module before charging according to the first category information.

[0198] In one embodiment, the wireless charging foreign object detection device of the embodiment of the present disclosure further includes:

[0199] The second acquisition module is used to acquire a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging.

[0200] The second detection module is used to compare the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module.

[0201] Among them, the third thermal imaging image and the fourth thermal imaging image are bird's-eye views including the transmitting coil module, and the fourth thermal imaging image is an image collected when the current vehicle is parked in the wireless charging parking space.

[0202] In one embodiment, the second detection module is used to:

[0203] According to the fifth image information of the third thermal imaging image, third temperature information of different image areas in the third thermal imaging image is determined.

[0204] Fourth temperature information of different image areas in the fourth thermal imaging image is determined according to the sixth image information of the fourth thermal imaging image.

[0205] The third temperature information is compared with the fourth temperature information to perform foreign object detection on the transmitting coil module being charged.

[0206] In one embodiment, the second detection module is used to:

[0207] The third category information of the object contained in the third thermal imaging image is determined according to the fifth image information of the third thermal imaging image.

[0208] Fourth category information of the object included in the fourth thermal imaging image is determined according to the sixth image information of the fourth thermal imaging image.

[0209] The third category information is compared with the fourth category information to perform foreign object detection on the transmitting coil module being charged.

[0210] In one embodiment, the second detection module is used to:

[0211] According to the fifth image information of the third thermal imaging image, third temperature information of different image regions in the third thermal imaging image and third category information of the object contained in the third thermal imaging image are determined.

[0212] According to the sixth image information of the fourth thermal imaging image, fourth temperature information of different image regions in the fourth thermal imaging image and fourth category information of the object included in the fourth thermal imaging image are determined.

[0213] The third temperature information is compared with the fourth temperature information, and the third category information is compared with the fourth category information, so as to perform foreign object detection on the transmitting coil module being charged.

[0214] In one embodiment, the wireless charging foreign object detection device of the embodiment of the present disclosure further includes:

[0215] The second acquisition module is used to acquire a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging.

[0216] The third detection module is used to compare the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module.

[0217] Among them, the fifth thermal imaging images are all bird's-eye views including the transmitting coil module, and the fifth thermal imaging images are images collected when the current vehicle is charging in the wireless charging parking space and the collection time is earlier than the third thermal imaging image.

[0218] In one embodiment, the third detection module is used to:

[0219] According to the fifth image information of the third thermal imaging image, third temperature information of different image areas in the third thermal imaging image is determined.

[0220] According to the seventh image information of the fifth thermal imaging image, fifth temperature information of different image areas in the fifth thermal imaging image is determined.

[0221] The third temperature information is compared with the fifth temperature information to perform foreign object detection on the transmitting coil module being charged.

[0222] In one embodiment, the third detection module is used to:

[0223] According to the fifth image information of the third thermal imaging image, third category information of the object contained in the third thermal imaging image is determined.

[0224] Fifth category information of the object included in the fifth thermal imaging image is determined according to the seventh image information of the fifth thermal imaging image.

[0225] The third category information is compared with the fifth category information to perform foreign object detection on the transmitting coil module being charged.

[0226] In one embodiment, the third detection module is used to:

[0227] According to the fifth image information of the third thermal imaging image, third temperature information of different image regions in the third thermal imaging image and third category information of the object contained in the third thermal imaging image are determined.

[0228] According to the seventh image information of the fifth thermal imaging image, fifth temperature information of different image regions in the fifth thermal imaging image and fifth category information of the object included in the fifth thermal imaging image are determined.

[0229] The third temperature information is compared with the fifth temperature information, and the third category information is compared with the fifth category information, so as to perform foreign object detection on the transmitting coil module being charged.

[0230] For the description of specific functions and examples of each module and submodule of the device in the embodiment of the present disclosure, reference can be made to the relevant description of the corresponding steps in the above method embodiment, which will not be repeated here.

[0231] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0232] like Figure 6 As shown, the embodiment of the present disclosure provides a foreign object detection system for wireless charging, comprising:

[0233] The thermal imaging acquisition device 610 is used to acquire a bird's-eye view of the transmitting coil module 630 of the wireless charging parking space.

[0234] The wireless charging foreign object detection device 620 is electrically connected to the thermal imaging acquisition device, and is used to execute the wireless charging foreign object detection method of any embodiment of the present disclosure.

[0235] The thermal imaging acquisition device is arranged on the vehicle or the wireless charging parking space for wireless charging, and the foreign object detection device for wireless charging is arranged on the vehicle or the wireless charging parking space.

[0236] In the prior art, the energy transmission of wireless charging depends on the high-frequency and high-intensity electromagnetic field distributed around the magnetic field coil (transmitting coil module). When a foreign object enters the charging range of the magnetic field coil, an eddy current will be generated inside it. For metal foreign objects with large impedance, the eddy current will cause a large amount of heat loss. Long-term heating is prone to the dangerous situation of burning the wireless charging system or the object using electricity. Therefore, it is necessary to detect metal foreign objects before and during charging to discover safety hazards in time. In addition, the high-frequency and high-intensity electromagnetic field generated by the wireless charging system during operation will heat the water molecules in the cells of the living foreign objects, thereby causing fatal damage to the living foreign objects. The technology of the embodiment of the present disclosure can effectively solve the above problems. According to the technology of the embodiment of the present disclosure, in the process of the current vehicle parking in the wireless charging parking space, multiple first image information of multiple frames of first thermal imaging images containing the transmitting coil module taken from far to near can be used to more accurately detect whether there are foreign objects on the surface of the transmitting coil module. By detecting foreign objects before charging, it is possible to prevent them before they happen and improve the safety of wireless charging of vehicles. At the same time, the use of thermal imaging technology and comprehensive judgment of multiple frames of images can reduce the impact of the surrounding environment on the detection results, and improve the robustness of foreign object detection during wireless charging of the vehicle and its robustness in environmental changes. In addition, since multiple frames of images are taken from far to near, the transmitting coil module can be detected for foreign objects from different distances and viewing angles, which solves the problem of blind spots for small foreign objects at the edge of the coil, that is, the range of foreign object detection can accurately cover the entire outer surface of the transmitting coil module. In addition, since both metal foreign objects and living bodies have their own temperature, the method of the embodiment of the present disclosure can be used to simultaneously solve the safe charging detection requirements of foreign object detection and living body detection. At the same time, the embodiment of the present disclosure can realize real-time foreign object detection throughout the entire process before and during charging, thereby improving the safety of wireless charging of vehicles.

[0237] Figure 7 FIG. 1 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. Figure 7 As shown, the electronic device includes: a memory 710 and a processor 720, and the memory 710 stores a computer program that can be run on the processor 720. The number of the memory 710 and the processor 720 can be one or more. The memory 710 can store one or more computer programs. When the one or more computer programs are executed by the electronic device, the electronic device executes the method provided by the above method embodiment. The electronic device may also include: a communication interface 730, which is used to communicate with external devices and perform data exchange transmission.

[0238] If the memory 710, the processor 720 and the communication interface 730 are implemented independently, the memory 710, the processor 720 and the communication interface 730 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0239] Optionally, in a specific implementation, if the memory 710, the processor 720 and the communication interface 730 are integrated on a chip, the memory 710, the processor 720 and the communication interface 730 can communicate with each other through an internal interface.

[0240] It should be understood that the above processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), graphics processing units (GPU), neural-network process units (NPU), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. It is worth noting that the processor can be a processor that supports the Advanced RISC Machines (ARM) architecture.

[0241] Further, optionally, the above-mentioned memory may include a read-only memory and a random access memory, and may also include a non-volatile random access memory. The memory may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may include a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may include a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available. For example, static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DR RAM).

[0242] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computer, the process or function according to the embodiment of the present disclosure is generated in whole or in part. 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 computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (for example: coaxial cable, optical fiber, data subscriber line (Digital Subscriber Line, DSL)) or wireless (for example: infrared, Bluetooth, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that can be accessed by the computer, or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disc (DVD)), or a semiconductor medium (e.g., a solid state disk (SSD)), etc. It is worth noting that the computer-readable storage medium mentioned in the present disclosure may be a non-volatile storage medium, in other words, a non-transient storage medium.

[0243] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0244] In the description of the embodiments of the present disclosure, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0245] In the description of the embodiments of the present disclosure, unless otherwise specified, " / " means or, for example, A / B can mean A or B. "And / or" in this article is only a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0246] In the description of the embodiments of the present disclosure, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more.

[0247] The above description is only an exemplary embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A foreign object detection method for wireless charging, comprising: Acquire multiple frames of first thermal imaging images during the process of the current vehicle parking in the wireless charging parking space, wherein the multiple frames of first thermal imaging images are all bird's-eye views of the transmitting coil module of the wireless charging parking space; and According to the first image information of the multiple frames of first thermal imaging images, foreign matter detection is performed on the transmitting coil module before charging to determine whether there is foreign matter on the surface of the transmitting coil module.

2. The method according to claim 1, wherein: According to the first image information of the multiple frames of first thermal imaging images, foreign object detection is performed on the transmitting coil module before charging, including: Acquire multiple frames of second thermal imaging images during the process of the last vehicle parking out of the wireless charging parking space; The first image information of the multiple frames of the first thermal imaging images is compared with the second image information of the multiple frames of the second thermal imaging images to perform foreign object detection on the transmitting coil module before charging.

3. The method according to claim 2, wherein: Comparing the first image information of the multiple frames of the first thermal imaging images with the second image information of the multiple frames of the second thermal imaging images to perform foreign object detection on the transmitting coil module before charging, including: Based on the first image information of the multiple frames of first thermal imaging images, the multiple frames of first thermal imaging images are merged into a first image; Based on the second image information of the multiple frames of second thermal imaging images, the multiple frames of second thermal imaging images are merged into a second image; The third image information of the first image is compared with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging.

4. The method according to claim 3, wherein: Comparing the third image information of the first image with the fourth image information of the second image to perform foreign object detection on the transmitting coil module before charging includes: determining first temperature information of different image areas in the first image according to third image information of the first image; determining second temperature information of different image areas in the second image according to fourth image information of the second image; comparing the first temperature information with the second temperature information to perform foreign object detection on the transmitting coil module before charging; and / or, determining first category information of an object included in the first image according to third image information of the first image; determining second category information of an object included in the second image according to fourth image information of the second image; The first category information is compared with the second category information to perform foreign object detection on the transmitting coil module before charging.

5. The method according to claim 1, wherein: According to the first image information of the multiple frames of first thermal imaging images, foreign object detection is performed on the transmitting coil module before charging, including: Based on the first image information of the multiple frames of first thermal imaging images, the multiple frames of first thermal imaging images are merged into a first image; determining first category information of an object included in the first image according to third image information of the first image; According to the first category information, foreign object detection is performed on the transmitting coil module before charging.

6. The method according to any one of claims 1 to 5, further comprising: When it is determined that there is no foreign matter on the surface of the transmitting coil module before charging, obtaining a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space; Comparing the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module; The third thermal imaging image and the fourth thermal imaging image are bird's-eye views including the transmitting coil module, and the fourth thermal imaging image is an image captured when the current vehicle is parked in the wireless charging parking space.

7. The method according to any one of claims 1 to 5, further comprising: When it is determined that there is no foreign matter on the surface of the transmitting coil module before charging, obtaining a third thermal image of the current vehicle when it is currently charging in the wireless charging parking space; Comparing the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to perform foreign object detection on the transmitting coil module being charged to determine whether there is foreign object on the surface of the transmitting coil module; Among them, the fifth thermal imaging images are all bird's-eye views including the transmitting coil module, and the fifth thermal imaging images are images collected when the current vehicle is charging in the wireless charging parking space and the collection time is earlier than the third thermal imaging image.

8. The method according to claim 6, wherein: Comparing the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image to detect foreign objects on the transmitting coil module being charged includes: determining third temperature information of different image areas in the third thermal imaging image according to fifth image information of the third thermal imaging image; determining fourth temperature information of different image areas in the fourth thermal imaging image according to sixth image information of the fourth thermal imaging image; Comparing the third temperature information with the fourth temperature information to perform foreign object detection on the transmitting coil module being charged; and / or, determining third category information of the object included in the third thermal imaging image according to fifth image information of the third thermal imaging image; determining fourth category information of an object included in the fourth thermal imaging image according to sixth image information of the fourth thermal imaging image; The third category information is compared with the fourth category information to perform foreign object detection on the transmitting coil module being charged.

9. The method according to claim 7, wherein: Comparing the fifth image information of the third thermal imaging image with the seventh image information of the fifth thermal imaging image to detect foreign objects on the transmitting coil module being charged, including: determining third temperature information of different image areas in the third thermal imaging image according to fifth image information of the third thermal imaging image; determining fifth temperature information of different image areas in the fifth thermal imaging image according to seventh image information of the fifth thermal imaging image; Comparing the third temperature information with the fifth temperature information to perform foreign object detection on the transmitting coil module being charged; and / or, determining third category information of the object included in the third thermal imaging image according to fifth image information of the third thermal imaging image; determining fifth category information of the object included in the fifth thermal imaging image according to seventh image information of the fifth thermal imaging image; The third category information is compared with the fifth category information to perform foreign object detection on the transmitting coil module being charged.

10. A wireless charging foreign object detection device, comprising: A first acquisition module, configured to acquire multiple frames of first thermal imaging images during the process of the current vehicle parking in the wireless charging parking space, wherein the multiple frames of first thermal imaging images are all bird's-eye views of the transmitting coil module of the wireless charging parking space; and The first detection module is used to perform foreign matter detection on the transmitting coil module before charging according to the first image information of the multiple frames of first thermal imaging images, so as to determine whether there is foreign matter on the surface of the transmitting coil module.

11. The apparatus according to claim 10, further comprising: A second acquisition module is used to acquire a third thermal image of the current vehicle when charging in the wireless charging parking space when it is determined that there is no foreign matter on the surface of the transmitting coil module before charging; a second detection module, used to compare the fifth image information of the third thermal imaging image with the sixth image information of the fourth thermal imaging image, so as to perform foreign object detection on the transmitting coil module being charged, so as to determine whether there is foreign object on the surface of the transmitting coil module; Among them, the fourth thermal imaging image is an image collected after the current vehicle completes parking in the wireless charging parking space, the third thermal imaging image and the fourth thermal imaging image are both bird's-eye views including the transmitting coil module, and the collection time of the fourth thermal imaging image is earlier than the collection time of the third thermal imaging image.

12. A wireless charging foreign object detection system, comprising: A thermal imaging acquisition device for acquiring a bird's-eye view of the transmitting coil module of the wireless charging parking space; as well as A foreign object detection device for wireless charging, electrically connected to the thermal imaging acquisition device, and used to perform the foreign object detection method for wireless charging according to any one of claims 1 to 9; Among them, the thermal imaging acquisition device is arranged on the vehicle performing wireless charging or the wireless charging parking space; the wireless charging foreign object detection device is arranged on the vehicle or the wireless charging parking space.

13. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 9.

14. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 9.

15. A computer program product comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 9.

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