Charging information acquisition method, device, charging pile, electronic device and storage medium

Abstract

The present invention provides a charging information acquisition method, device, charging pile, electronic device and storage medium, the method comprising: acquiring a first video of an electric vehicle during the charging process, and the charging parameters of the electric vehicle by the charging pile during the charging process; superimposing the charging parameters on the first video to obtain a second video as the charging information of the electric vehicle. Through the charging information in the present invention, not only the scene information of the electric vehicle during the charging process can be obtained, but also the corresponding charging parameters of the electric vehicle can be quickly obtained at the same time, thereby forming effective charging process evidence data; the scene information of the electric vehicle and the corresponding charging parameters are located in the same video, which is convenient for viewing and storage.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and in particular to a charging information acquisition method, device, charging pile, electronic equipment and storage medium. Background Art

[0002] After using a charging pile to charge an electric vehicle, the electric vehicle may experience an abnormality, and it is impossible to determine whether the abnormality is caused by a problem with the charging pile. It is necessary to obtain the charging process information of a specific electric vehicle at a specific time to determine the cause of the abnormality of the electric vehicle and form intuitive, effective and traceable evidence information for the identification of the responsible party. Summary of the invention

[0003] In view of the problems existing in the prior art, the present invention provides a charging information acquisition method, device, charging pile, electronic device and storage medium.

[0004] The present invention provides a charging information acquisition method, comprising:

[0005] Acquire a first video of the electric vehicle during the charging process, and charging parameters of the electric vehicle by the charging pile during the charging process;

[0006] The charging parameters are superimposed on the first video to obtain a second video as the charging information of the electric vehicle.

[0007] According to a charging information acquisition method provided by the present invention, superimposing the charging parameter into the first video includes:

[0008] Fitting the charging parameters at each moment in the charging process to obtain a fitting curve;

[0009] The fitting curve is superimposed on the first video.

[0010] According to a charging information acquisition method provided by the present invention, fitting the charging parameters at each moment in the charging process to obtain a fitting curve includes:

[0011] Fitting the charging parameters of the electric vehicle at each moment with the charging parameters before each moment in the charging process to obtain a first fitting curve at each moment;

[0012] The step of superimposing the fitting curve onto the first video includes:

[0013] The first fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

[0014] According to a charging information acquisition method provided by the present invention, fitting the charging parameters at each moment in the charging process to obtain a fitting curve includes:

[0015] Fitting the charging parameters of the electric vehicle at each moment during the charging process to obtain a second fitting curve;

[0016] In the second fitting curve, the charging parameter at each moment is individually marked to obtain a third fitting curve at each moment;

[0017] The step of superimposing the fitting curve onto the first video includes:

[0018] The third fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

[0019] According to a charging information acquisition method provided by the present invention, the charging parameters include one or more of charging power, output voltage, output current and protocol request data of the battery management system of the electric vehicle.

[0020] A charging information acquisition method provided by the present invention also includes:

[0021] The charging time and / or unique identification information of the electric vehicle is superimposed on the first video.

[0022] According to a charging information acquisition method provided by the present invention, after superimposing the charging parameter onto the first video to obtain a second video as the charging information of the electric vehicle, the method further includes:

[0023] In the case that the electric vehicle is abnormal, comparing the input unique identification information of the electric vehicle with the unique identification information in the second video, and comparing the input charging time of the electric vehicle with the charging time in the second video;

[0024] When the input unique identification information is consistent with the unique identification information in the second video, and the input charging time and the charging time in the second video have an intersection, the second video is exported.

[0025] According to a charging information acquisition method provided by the present invention, after superimposing the charging parameter onto the first video to obtain a second video as the charging information of the electric vehicle, the method further includes:

[0026] A digital watermark is added to the second video.

[0027] The present invention also provides a charging information acquisition device, comprising:

[0028] An acquisition module, used to acquire a first video of the electric vehicle during the charging process, and a charging parameter of the electric vehicle by the charging pile during the charging process;

[0029] A superposition module is used to superimpose the charging parameters onto the first video to obtain a second video as the charging information of the electric vehicle.

[0030] The present invention also provides a charging pile, comprising a camera, a charging module and the above-mentioned charging information acquisition device;

[0031] The camera is used to collect a first video of the electric vehicle during the charging process and transmit it to the charging information acquisition device;

[0032] The charging module is used to charge the electric vehicle, collect charging parameters of the electric vehicle during the charging process and transmit them to the charging information acquisition device.

[0033] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the charging information acquisition methods described above is implemented.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the charging information acquisition method described in any one of the above is implemented.

[0035] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the charging information acquisition method described in any one of the above is implemented.

[0036] The charging information acquisition method, device, charging pile, electronic device and storage medium provided by the present invention acquire a video of an electric vehicle during the charging process and the charging parameters of the electric vehicle by the charging pile, and superimpose the charging parameters on the video. Through the video superimposed with the charging parameters, not only the scene information of the electric vehicle during the charging process can be obtained, but also the corresponding charging parameters of the electric vehicle can be quickly obtained at the same time, thereby forming effective charging process evidence data; the scene information of the electric vehicle during the charging process and the corresponding charging parameters are located in the same video, which is convenient for viewing and storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a flow chart of the charging information acquisition method provided by the present invention;

[0039] Figure 2 is a schematic diagram of displaying charging information in the charging information acquisition method provided by the present invention;

[0040] Figure 3 It is a structural schematic diagram of the charging information acquisition device provided by the present invention;

[0041] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Combine the following Figure 1 A charging information acquisition method of the present invention is described, comprising:

[0044] Step 101, obtaining a first video of an electric vehicle during a charging process, and charging parameters of the electric vehicle by a charging pile during the charging process;

[0045] The execution subject of this embodiment may be a processor built into the charging pile, or may be a remote terminal. This embodiment does not limit the execution subject.

[0046] Electric vehicles are vehicles that use batteries to provide power, such as electric cars and electric bicycles.

[0047] During the charging process of the electric vehicle, a camera is used to collect a first video of the electric vehicle. The first video is an original video of the electric vehicle. The camera can be a component of the charging pile, or a separate component installed near the charging pile.

[0048] Charging piles refer to equipment for charging electric vehicles. Charging parameters include the charging power, output voltage and output current of the charging pile for electric vehicles.

[0049] After the electric vehicle enters the parking space, when the charging plug of the charging pile next to the parking space is connected to the electric vehicle, or the charging plug of the electric vehicle is connected to the charging pile and charging is started, the camera is controlled to start recording.

[0050] During the charging process of the electric vehicle, the charging pile transmits the charging parameters to the execution entity in real time.

[0051] After the electric vehicle is charged and the charging connector is unplugged, the camera is controlled to stop recording.

[0052] Step 102: superimpose the charging parameters onto the first video to obtain a second video as charging information of the electric vehicle.

[0053] The second video refers to a video formed by superimposing the charging parameters on the first video. The second video is used as the charging information of the electric vehicle. The second video includes not only the scene information during the charging process of the electric vehicle, but also the charging parameters of the charging pile for the electric vehicle during the charging process of the electric vehicle.

[0054] After the camera stops recording, the execution subject can superimpose the charging parameters onto the corresponding video frames in the first video according to the acquisition time of each video frame in the first video and the acquisition time of the charging parameters to obtain the second video.

[0055] The execution subject may also superimpose the charging parameters at the same time onto a video frame after capturing a video frame in the first video during the camera recording process.

[0056] The charging parameters can be superimposed on the video frame by using a superimposition device on the acquisition video path. The video frame can also be pre-processed to copy the image area in the video frame where the charging parameters are to be superimposed, and the copied image area is superimposed with the charging parameters and then updated to the original position in the video frame.

[0057] After the charging parameters are superimposed on the first video to obtain the second video, the second video may be encoded to reduce the data volume of the second video and facilitate transmission and storage. Video encoding refers to the method of converting a file in the original video format into another video format file through compression technology. The second video may be stored in the charging station or in the background.

[0058] This embodiment obtains a video of the electric vehicle during the charging process and the charging parameters of the charging pile for the electric vehicle, and superimposes the charging parameters into the video. By superimposing the charging parameters on the video, not only the scene information of the electric vehicle during the charging process can be obtained, but also the corresponding charging parameters of the electric vehicle can be quickly obtained at the same time, thereby forming effective charging process evidence data; the scene information of the electric vehicle during the charging process and the corresponding charging parameters are located in the same video, which is easy to view and store.

[0059] Based on the above embodiment, the step of superimposing the charging parameter onto the first video in this embodiment includes:

[0060] Fitting the charging parameters at each moment in the charging process to obtain a fitting curve;

[0061] The fitting curve is superimposed on the first video.

[0062] In order to facilitate viewing the changes in charging parameters of electric vehicles by charging piles, the charging parameters corresponding to the electric vehicles during the charging process are fitted to obtain a fitting curve.

[0063] The charging parameter fitting method may use the least square method, interpolation method, polynomial fitting method, etc. This embodiment does not limit the charging parameter fitting method.

[0064] For the charging parameters of electric vehicles, such as output current, output voltage or power, the corresponding charging curve can be fitted into a regular charging curve. After the electric vehicle starts charging, the front section of the corresponding charging curve will show an upward trend; after the electric vehicle starts charging for a period of time, the middle section of the corresponding charging curve will tend to be stable; after the electric vehicle ends charging, the tail section of the corresponding charging curve will show a downward trend. After obtaining the fitting curve, the present application can analyze the fitting curve to determine abnormal data.

[0065] Two preset time points can be determined based on experience, and the fitting curve can be divided into three segments using the preset time points. The average slope of each segment of the fitting curve is determined, and the fitting curve segments with an average slope greater than the corresponding preset threshold are regarded as abnormal data. The abnormal data in the fitting curve are marked, such as using different colors for marking.

[0066] The fitting curve is superimposed on the first video. In the video frame of the first video, only the fitting curve can be superimposed, or the fitting curve and the charging parameters at the corresponding moment of the video frame can be superimposed.

[0067] This embodiment obtains a fitting curve by fitting the charging parameters of the electric vehicle at each moment during the charging process, and superimposes the fitting curve on the video, so as to facilitate viewing the changes in the charging parameters of the electric vehicle by the charging pile through the superimposed video.

[0068] Based on the above embodiment, the charging parameters at each moment in the charging process are fitted in this embodiment to obtain a fitting curve, including:

[0069] Fitting the charging parameters of the electric vehicle at each moment with the charging parameters before each moment in the charging process to obtain a first fitting curve at each moment;

[0070] The step of superimposing the fitting curve onto the first video includes:

[0071] The first fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

[0072] For example, at the T5th moment in the charging process of the electric vehicle, the charging parameters corresponding to the first T5th moment in the charging process of the electric vehicle are fitted to obtain a first fitting curve corresponding to the T5th moment.

[0073] The fitting method for the charging parameter corresponding to the time before T5 may be the least square method, the interpolation method, the polynomial fitting method, etc. This embodiment does not limit the fitting method.

[0074] The first fitting curve corresponding to the T5th time is superimposed on the video frame corresponding to the T5th time in the first video.

[0075] In this embodiment, according to the charging parameter fitting curve at the current moment and before the current moment in each video frame of the second video, the change of the charging parameter of the charging pile for the electric vehicle can be quickly checked.

[0076] Based on the above embodiment, the charging parameters at each moment in the charging process are fitted in this embodiment to obtain a fitting curve, including:

[0077] Fitting the charging parameters of the electric vehicle at each moment during the charging process to obtain a second fitting curve;

[0078] In the second fitting curve, the charging parameter at each moment is individually marked to obtain a third fitting curve at each moment;

[0079] The step of superimposing the fitting curve onto the first video includes:

[0080] The third fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

[0081] All charging parameters corresponding to the electric vehicle during the charging process are fitted to obtain a second fitting curve.

[0082] The charging parameters corresponding to each moment are identified in the second fitting curve, and only the charging parameters corresponding to one moment are identified each time, so as to obtain the third fitting curve corresponding to each moment.

[0083] The charging parameters corresponding to each moment may be marked in one or more of shape, color and text, which is not limited in this embodiment.

[0084] like Figure 2 As shown, the power, output voltage and output current corresponding to the electric vehicle during the charging process are fitted respectively to obtain the corresponding second fitting curve.

[0085] The charging parameters at the same time are marked on the second fitting curves corresponding to the power, output voltage and output current, respectively, to obtain the third fitting curve corresponding to the time. For example, a circle and text are marked at the data position corresponding to the time in the second fitting curve, and the text content is the charging parameter corresponding to the time.

[0086] The third fitting curve corresponding to the power, output voltage and output current obtained after identification is superimposed on the video frame corresponding to the moment in the first video.

[0087] In this embodiment, according to the charging parameter fitting curve at the current moment and before the current moment in each video frame of the first video, the change of the charging parameter of the charging pile for the electric vehicle can be quickly checked.

[0088] In this embodiment, according to the charging parameter fitting curve of each video frame of the second video, the change of charging parameters of the charging pile for the electric vehicle during the entire charging process can be quickly known. The charging status at the current moment can also be understood from a global perspective based on the identification of the charging parameters at the current moment in the charging parameter fitting curve.

[0089] On the basis of the above embodiments, the charging parameters in this embodiment include one or more of charging power, output voltage, output current and protocol request data of the battery management system of the electric vehicle.

[0090] The charging power of the charging pile reflects the amount of electric energy provided by the charging pile to the electric vehicle per unit time. The output voltage of the charging pile is the voltage provided by the charging pile to the electric vehicle. The output current of the charging pile is the current provided by the charging pile to the electric vehicle. The protocol request data of the battery management system (BMS) of the electric vehicle includes the battery charging level, voltage information, current information and battery charging status of the electric vehicle.

[0091] In this embodiment, one or more of the charging power, output voltage, output current of the charging pile to the electric vehicle and the protocol request data of the battery management system of the electric vehicle are superimposed on the video, so as to obtain rich charging information of the electric vehicle.

[0092] Based on the above embodiments, this embodiment also includes:

[0093] The charging time and / or unique identification information of the electric vehicle is superimposed on the first video.

[0094] like Figure 2 As shown, the charging time of the electric vehicle may include one or more of the current time of charging of the electric vehicle, the charging start time, and the charging end time.

[0095] The unique identification information of the electric vehicle may be a license plate number, which may be obtained by identifying an image of the electric vehicle. After the electric vehicle enters the parking space, a camera is used to capture an image of the electric vehicle.

[0096] The recognized license plate number and / or the charging time of the electric vehicle are superimposed on the first video.

[0097] Specifically, the current time of charging of the electric vehicle is superimposed on the corresponding video frame in the first video. The charging start time of the electric vehicle is superimposed on the first video frame or all video frames in the first video. The charging end time of the electric vehicle is superimposed on the last video frame or all video frames in the first video. The license plate number of the electric vehicle is superimposed on all video frames in the first video.

[0098] In this embodiment, the charging time and / or unique identification information of the electric vehicle is superimposed on the video, so as to obtain rich charging information of the electric vehicle and facilitate video retrieval.

[0099] On the basis of the above embodiment, after superimposing the charging parameter onto the first video to obtain the second video as the charging information of the electric vehicle, the present embodiment further includes:

[0100] In the case that the electric vehicle is abnormal, comparing the input unique identification information of the electric vehicle with the unique identification information in the second video, and comparing the input charging time of the electric vehicle with the charging time in the second video;

[0101] When the input unique identification information is consistent with the unique identification information in the second video, and the input charging time and the charging time in the second video have an intersection, the second video is exported.

[0102] When an electric vehicle is abnormal, the video is retrieved according to the input unique identification information and charging time of the electric vehicle. The input unique identification information of the electric vehicle may be a license plate number, and the input charging time may be a specific time point or a time range.

[0103] The unique identification information and the charging time in the second video are identified based on a text recognition method. This embodiment does not limit the text recognition method.

[0104] The unique identification information of the electric vehicle is compared with the unique identification information in the second video, and the charging time of the electric vehicle is compared with the charging time in the second video to determine whether the second video is the desired video.

[0105] When the unique identification information of the electric vehicle is the same as the unique identification information in the second video, and the charging time of the electric vehicle and the charging time in the second video overlap, it is determined that the second video is the required video, and the second video can be exported from the charging pile or the background as evidence.

[0106] This embodiment retrieves the video by inputting the unique identification information and charging time of the electric vehicle. After the relevant video is retrieved, the charging scene and charging parameters of the electric vehicle can be learned by playing back the second video.

[0107] On the basis of the above embodiments, after superimposing the charging parameter onto the first video to obtain the second video as the charging information of the electric vehicle, the present embodiment further includes:

[0108] A digital watermark is added to the second video.

[0109] The digital watermark can be obtained according to the charging information in the second video. A wavelet algorithm can be used to generate a hidden digital watermark according to the charging information, and the generated digital watermark is written into the second video.

[0110] After adding the digital watermark to the second video, it can be determined whether the second video has been tampered with. Since the wavelet algorithm is a reversible algorithm, the inverse operation of the wavelet algorithm is used to extract the digital watermark in the second video. The content of the digital watermark in the second video is compared with the charging information in the second video to determine whether the second video has been tampered with.

[0111] For example, the license plate number, charging time, and charging parameters of the electric vehicle are spliced, a wavelet algorithm is used to generate a digital watermark according to the splicing result, and the generated digital watermark is written into the second video.

[0112] When determining whether the second video has been tampered with, the inverse operation of the wavelet algorithm is used to extract the digital watermark in the second video. The license plate number in the digital watermark is compared with the license plate number in the second video, the charging time in the digital watermark is compared with the charging time in the second video, and the charging parameters in the digital watermark are compared with the charging parameters in the second video. If the license plate number, charging time, and charging parameters of the electric vehicle are consistent, it is determined that the second video has not been tampered with; otherwise, it is determined that the second video has been tampered with.

[0113] This embodiment adds a digital watermark to the second video to ensure that the video is complete and not tampered with, thereby forming effective charging process evidence data.

[0114] The charging information acquisition device provided by the present invention is described below. The charging information acquisition device described below and the charging information acquisition method described above can be referred to each other.

[0115] like Figure 3 As shown, the device includes an acquisition module 301 and a superposition module 302, wherein:

[0116] The acquisition module 301 is used to acquire a first video of the electric vehicle during the charging process, and a charging parameter of the electric vehicle by the charging pile during the charging process;

[0117] The superimposition module 302 is used to superimpose the charging parameters onto the first video to obtain a second video as the charging information of the electric vehicle.

[0118] This embodiment obtains a video of the electric vehicle during the charging process and the charging parameters of the charging pile for the electric vehicle, and superimposes the charging parameters into the video. By superimposing the charging parameters on the video, not only the scene information of the electric vehicle during the charging process can be obtained, but also the corresponding charging parameters of the electric vehicle can be quickly obtained at the same time, thereby forming effective charging process evidence data; the scene information of the electric vehicle during the charging process and the corresponding charging parameters are located in the same video, which is easy to view and store.

[0119] The present invention provides a charging pile, including a camera, a charging module and the above-mentioned charging information acquisition device;

[0120] The camera is used to collect a first video of the electric vehicle during the charging process and transmit it to the charging information acquisition device;

[0121] The charging module is used to charge the electric vehicle, collect charging parameters of the electric vehicle during the charging process and transmit them to the charging information acquisition device.

[0122] This embodiment obtains the video of the electric vehicle during the charging process and the charging parameters of the charging pile for the electric vehicle, and superimposes the charging parameters into the video. By superimposing the charging parameters on the video, not only the scene information of the electric vehicle during the charging process can be obtained, but also the corresponding charging parameters of the electric vehicle can be quickly obtained at the same time, thereby forming effective charging process evidence data; the scene information of the electric vehicle and the corresponding charging parameters are located in the same video, which is easy to view and store.

[0123] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the charging information acquisition method, which includes: acquiring a first video of an electric vehicle during the charging process, and the charging parameters of the charging pile for the electric vehicle during the charging process; superimposing the charging parameters on the first video to obtain a second video as the charging information of the electric vehicle.

[0124] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0125] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the charging information acquisition method provided by the above-mentioned methods, which includes: obtaining a first video of an electric vehicle during the charging process, and the charging parameters of the charging pile for the electric vehicle during the charging process; superimposing the charging parameters on the first video to obtain a second video as the charging information of the electric vehicle.

[0126] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the charging information acquisition method provided by the above-mentioned methods. The method includes: obtaining a first video of an electric vehicle during a charging process, and the charging parameters of the electric vehicle by the charging pile during the charging process; superimposing the charging parameters on the first video to obtain a second video as the charging information of the electric vehicle.

[0127] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0128] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A charging information acquisition method, characterized in that: include: Acquire a first video of the electric vehicle during the charging process, and charging parameters of the electric vehicle by the charging pile during the charging process; superimposing the charging parameter onto the first video to obtain a second video as charging information of the electric vehicle; The step of superimposing the charging parameter onto the first video includes: Fitting the charging parameters at each moment in the charging process to obtain a fitting curve; superimposing the fitting curve into the first video; Also includes: superimposing the charging time and / or unique identification information of the electric vehicle into the first video; After superimposing the charging parameter onto the first video to obtain the second video as the charging information of the electric vehicle, the method further includes: In the case that the electric vehicle is abnormal, comparing the input unique identification information of the electric vehicle with the unique identification information in the second video, and comparing the input charging time of the electric vehicle with the charging time in the second video; When the input unique identification information is consistent with the unique identification information in the second video, and the input charging time and the charging time in the second video have an intersection, the second video is exported.

2. The charging information acquisition method according to claim 1, characterized in that: The step of fitting the charging parameters at each moment in the charging process to obtain a fitting curve comprises: Fitting the charging parameters of the electric vehicle at each moment with the charging parameters before each moment in the charging process to obtain a first fitting curve at each moment; The step of superimposing the fitting curve onto the first video includes: The first fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

3. The charging information acquisition method according to claim 1, characterized in that: The step of fitting the charging parameters at each moment in the charging process to obtain a fitting curve comprises: Fitting the charging parameters of the electric vehicle at each moment during the charging process to obtain a second fitting curve; In the second fitting curve, the charging parameter at each moment is individually marked to obtain a third fitting curve at each moment; The step of superimposing the fitting curve onto the first video includes: The third fitting curve at each moment is superimposed on the video frame corresponding to each moment in the first video.

4. The charging information acquisition method according to any one of claims 1 to 3, characterized in that: The charging parameters include one or more of charging power, output voltage, output current and protocol request data of the battery management system of the electric vehicle.

5. The charging information acquisition method according to any one of claims 1 to 3, characterized in that: After superimposing the charging parameter onto the first video to obtain the second video as the charging information of the electric vehicle, the method further includes: A digital watermark is added to the second video.

6. A charging information acquisition device, characterized in that: include: An acquisition module, used to acquire a first video of the electric vehicle during the charging process, and a charging parameter of the electric vehicle by the charging pile during the charging process; A superposition module, used for superimposing the charging parameter onto the first video to obtain a second video as the charging information of the electric vehicle; The step of superimposing the charging parameter onto the first video includes: Fitting the charging parameters at each moment in the charging process to obtain a fitting curve; superimposing the fitting curve into the first video; Also includes: superimposing the charging time and / or unique identification information of the electric vehicle into the first video; After superimposing the charging parameter onto the first video to obtain the second video as the charging information of the electric vehicle, the method further includes: In the case that the electric vehicle is abnormal, comparing the input unique identification information of the electric vehicle with the unique identification information in the second video, and comparing the input charging time of the electric vehicle with the charging time in the second video; When the input unique identification information is consistent with the unique identification information in the second video, and the input charging time and the charging time in the second video have an intersection, the second video is exported.

7. A charging pile, characterized in that: It comprises a camera, a charging module and the charging information acquisition device according to claim 6; The camera is used to collect a first video of the electric vehicle during the charging process and transmit it to the charging information acquisition device; The charging module is used to charge the electric vehicle, collect charging parameters of the electric vehicle during the charging process and transmit them to the charging information acquisition device.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the charging information acquisition method according to any one of claims 1 to 5 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the charging information acquisition method according to any one of claims 1 to 5 is implemented.

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