Contactless payment method and system for charging of electric vehicle, and cockpit system
By combining digital models of electric vehicles and charging stations with camera and radar detection, accurate matching and secure payment for multiple charging guns in public charging stations are achieved. This solves the problems of charging gun identification errors and insufficient security in existing technologies, and provides a more efficient and secure contactless charging payment experience.
Patent Information
- Application Number
- PCT/CN2024/141860
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-18
- Filing Date
- 2024-12-24
- Publication Date
- 2025-10-23
AI Technical Summary
Existing contactless charging payment methods for electric vehicles cannot achieve multi-gun mixed plugging at public charging stations, resulting in problems such as charging gun identification errors, high costs of communication gateway upgrades, and insufficient security.
By combining cameras and radar, the system uses the location information of electric vehicles and the digital model of charging stations for initial and precise pairing. It also uses radar signals to detect the position and attitude of the charging gun, thus achieving accurate matching between the electric vehicle and the charging gun. Furthermore, it uses private key signing to ensure the security of charging fee data.
Accurate matching of multiple charging guns for mixed plugging has been achieved at public charging stations, improving charging convenience and safety, preventing charging fee fraud, and providing a better user experience and data protection.
Smart Images

Figure CN2024141860_23102025_PF_FP_ABST
Abstract
Description
A non-sensing charging payment method and system for an electric vehicle, and a cockpit system
[0001] The present application claims priority to Chinese Patent Application No. 202410472831.2, filed on April 18, 2024, and entitled "A non-sensing charging payment method and system for an electric vehicle, and a cockpit system", the entire disclosure of which is incorporated herein by reference. TECHNICAL FIELD
[0002] The present application relates to mobile payment technology, in particular to a non-sensing charging payment method for an electric vehicle, a non-sensing charging payment system for an electric vehicle, and a cockpit system. BACKGROUND
[0003] A non-sensing charging payment method for an electric vehicle has been proposed in the field of charging payment for Internet of Vehicles. This non-sensing charging payment method identifies a ground parking space through an image related to the location of the electric vehicle, and then determines the corresponding charging gun. The electric vehicle then initiates a charging request to the specified charging gun. Based on the relevant information such as the electric vehicle identification information, charging time, and charging amount, the charging fee is settled and then the non-sensing payment is realized.
[0004] Problems exist in the existing non-sensing charging payment method for an electric vehicle, including:
[0005] (1) The binding of the charging pile and the electric vehicle needs to be completed in advance, which is suitable for charging the electric vehicle at a commonly used charging pile, but cannot realize non-sensing charging with mixed insertion of multiple guns in a public charging station.
[0006] (2) The charging gun usually has a long charging cable, which can be used in the adjacent parking space. When electric vehicle B uses charging pile A for charging, the camera will identify that electric vehicle A is charging, which will cause incorrect accounting.
[0007] (3) It generally relies on a communication gateway, so the charging pile needs to be connected and modified, which involves a certain modification cost and has a limited scope of application. The scheme based on the communication gateway is not suitable for the scenario where the charging pile is connected independently through 4G. On the other hand, the VIN (Vehicle Identification Number) communication between the electric vehicle and the charging pile is in plaintext, which is vulnerable to man-in-the-middle attacks to change and counterfeit, thereby cheating the cloud server for charging and harming the interests of others. SUMMARY
[0008] To solve the above problems in the prior art, the present application aims to provide a non-sensing charging payment method for an electric vehicle and a non-sensing charging payment system for an electric vehicle, which can accurately determine the pairing relationship between the charging gun and the electric vehicle and improve the charging convenience and safety.
[0009] The electric vehicle non-inductive charging payment method of one aspect of the application comprises:
[0010] A charging station determination step determines a charging station according to electric vehicle position information;
[0011] A preliminary pairing step obtains a charging gun insertion image of the electric vehicle and a digital model of the charging station, and compares the charging gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to a digital model of a template image formed by pre-shooting insertion images of each charging gun in each direction of the charging station;
[0012] A precise pairing step detects the position and posture of the charging gun by radar signal emission and reflection signal reception, and compares the position and posture of the charging gun with the digital model to achieve precise pairing of the electric vehicle and the charging gun;
[0013] A charging step achieves charging of the electric vehicle after the precise pairing step; and
[0014] A charging fee payment step sends a payment request based on charging fee data generated by electric vehicle charging.
[0015] Optionally, in the preliminary pairing step, the electric vehicle compares an image of the position and direction of the charging gun obtained by a camera with the digital model of the charging station to achieve preliminary pairing of the electric vehicle and the charging gun.
[0016] Optionally, in the precise pairing step, the electric vehicle compares distance and position information of the charging gun obtained by a radar with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun.
[0017] Optionally, in the charging step, further comprising:
[0018] The electric vehicle itself detects charging parameter data in real time during charging and compares the charging parameter data with charging parameter data monitored by the charging station for verification, and in the case of unsuccessful comparison and verification, the charging of the electric vehicle is suspended.
[0019] Optionally, the charging parameter data comprises one or more of the following: charging current, charging voltage, and charging time.
[0020] Optionally, the charging station determination step comprises the following sub-steps:
[0021] The electric vehicle obtains its own position information;
[0022] The electric vehicle obtains charging station information of available charging stations in the surrounding area according to the position information;
[0023] The electric vehicle recommends one or more charging stations from the surrounding available charging stations for the user to select according to the charging-related habits of the electric vehicle itself, wherein the charging-related habits include one or more of charging parameter information, user usage habit information, and non-inductive payment deduction card information; and
[0024] The electric vehicle determines a charging station from the one or more charging stations at which the electric vehicle will be charged.
[0025] Optionally, the electric vehicle recommending one or more charging stations from the surrounding available charging stations for the user to select according to the charging-related habits of the electric vehicle itself includes:
[0026] The electric vehicle cabin recommends the most suitable charging station from the surrounding available charging stations to the user according to one or more of cabin charging parameter information, charging data information, a list of non-inductive payment deduction cards bound by the cabin, and preferential information of the charging station in the cabin of the electric vehicle.
[0027] Optionally, the preliminary pairing step includes the following sub-steps:
[0028] The electric vehicle captures image information of the position and direction of the charging gun using a camera;
[0029] The image information is pre-processed; and
[0030] The pre-processed image information is compared with the digital model of the charging pile to determine the charging gun paired with the electric vehicle.
[0031] Optionally, the precise matching step includes the following sub-steps:
[0032] The vehicle-mounted radar of the electric vehicle emits signals to the surroundings and receives reflected radar signals;
[0033] The distance and position information of the charging gun are calculated based on the time difference of the radar signals;
[0034] The distance and position information of the charging gun are pre-processed; and
[0035] The pre-processed distance and position information of the charging gun are combined with the attitude information of the electric vehicle to determine the charging gun paired with the electric vehicle.
[0036] Optionally, the charging fee payment step includes the following sub-steps:
[0037] After the charging of the electric vehicle is completed, the charging fee data recorded by the electric vehicle itself is compared with the charging fee data recorded by the charging station; and
[0038] After the comparison and matching, a payment request is initiated based on the compared and matched charging fee data.
[0039] Optionally, the initiating the payment request based on the charging fee data further comprises: initiating the payment request after signing the charging fee data with a private key.
[0040] Optionally, the method further comprises:
[0041] a recording step of automatically recording and saving charging related data by the electric vehicle each time,
[0042] wherein the charging related data comprises one or more of the following: charging time, charging power, charging fee, charging station information.
[0043] The electric vehicle charging payment system of the present application comprises an electric vehicle and a charging service system,
[0044] wherein the electric vehicle comprises:
[0045] a charging station determining module for determining a charging station according to the location information of the electric vehicle;
[0046] a preliminary pairing module for acquiring the gun insertion image of the charging gun of the electric vehicle and the digital model of the charging station, and comparing the gun insertion image with the digital model to achieve the preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to the digital model of the template image formed by pre-shooting the gun insertion image of each charging gun in each direction in the charging station;
[0047] a precise pairing module for detecting the position and posture of the charging gun by emitting and receiving radar signals, and comparing with the digital model to achieve the precise pairing of the electric vehicle and the charging gun;
[0048] a charging module for realizing the charging of the electric vehicle; and
[0049] a charging fee payment module for initiating a payment request based on the charging fee data generated by the charging of the electric vehicle,
[0050] The charging service system comprises:
[0051] a charging station information providing module for providing the charging station information of the available charging stations in the surrounding of the location information of the electric vehicle to the electric vehicle according to the location information received from the electric vehicle; and
[0052] a charging station digital model providing module pre-stored with the charging station digital model of each charging station and providing the digital model of the corresponding charging station according to the request from the electric vehicle, wherein the charging station digital model refers to the digital model of the template image formed by pre-shooting the gun insertion image of each charging gun in each direction in the charging station.
[0053] Optionally, in the preliminary pairing module, the image of the position and direction of the charging gun obtained by the camera is compared with the digital model of the charging station to achieve the pairing of the electric vehicle and the charging gun.
[0054] Optionally, in the accurate pairing module, the distance and position information of the charging gun obtained by the radar is compared with the digital model of the charging station to achieve the pairing of the electric vehicle and the charging gun.
[0055] Optionally, the charging service system further comprises a charging monitoring module for monitoring the charging parameters of the charging gun of the charging station in real time as first charging parameter data,
[0056] The charging module further detects the charging parameters of the electric vehicle itself in real time as second charging parameter data during charging, and compares and verifies the second charging parameter data with the first charging parameter data obtained from the charging service system, and suspends the charging of the electric vehicle in case of comparison and verification failure.
[0057] Optionally, the first charging parameter data and the second charging parameter data comprise one or more of the following: charging current, charging voltage, charging time,
[0058] The charging module suspends the charging of the electric vehicle in case of unsuccessful comparison and verification.
[0059] Optionally, in the preliminary pairing module, the camera of the electric vehicle captures image information of the position and direction of the charging gun, the image information is preprocessed, and the preprocessed image information is compared with the digital model of the charging pile to determine the charging gun paired with the electric vehicle.
[0060] Optionally, in the accurate pairing module, the vehicle-mounted radar of the electric vehicle emits signals to the surrounding and receives reflected radar signals, calculates the distance and position information of the charging gun based on the time difference of the radar signals, preprocesses the distance and position information of the charging gun, and combines the posture information of the electric vehicle to determine the charging gun paired with the electric vehicle.
[0061] Optionally, the charging service system further comprises a charging fee calculation module for calculating the charging fee of the electric vehicle and providing charging fee data to the electric vehicle,
[0062] The charging fee payment module compares the charging fee data recorded by the electric vehicle with the charging fee data obtained from the charging service system after the charging of the electric vehicle is completed, and initiates a payment request based on the compared and matched charging fee data after the comparison and matching.
[0063] Optionally, in the charging fee payment module, the charging fee data after comparison and matching is further signed by a private key and a payment request is initiated.
[0064] Optionally, the electric vehicle further comprises:
[0065] a recording module configured to automatically record and save charging-related data associated with each charging, wherein the charging-related data comprises one or more of the following: charging time, charging power, charging fee, charging station information.
[0066] The cockpit system of one aspect of the application comprises:
[0067] a charging station determination module configured to determine a charging station according to position information of the electric vehicle;
[0068] a preliminary pairing module configured to acquire a gun insertion image of a charging gun of the electric vehicle and a digital model of the charging station, compare the gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to a digital model of a template image formed by pre-shooting gun insertion images in various directions of each charging gun in the charging station;
[0069] a precise pairing module configured to detect a position and an attitude of the charging gun by emitting and receiving radar signals, compare the position and the attitude with the digital model to achieve precise pairing of the electric vehicle and the charging gun;
[0070] a charging module configured to achieve charging of the electric vehicle; and
[0071] a charging fee payment module configured to issue a payment request based on charging fee data generated by charging of the electric vehicle.
[0072] Optionally, the charging module is further configured to detect charging parameters of the electric vehicle itself in real time during charging and compare the charging parameters with charging parameter data obtained from the external monitoring charging gun, and suspend charging of the electric vehicle in case of comparison and verification failure.
[0073] Optionally, in the preliminary pairing module, an image of a position and a direction of the charging gun acquired by a camera is compared with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun,
[0074] In the precise matching module, distance and position information of the charging gun acquired by a radar is compared with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun.
[0075] Optionally, the charging station determining module determines the most suitable charging station from the surrounding available charging stations according to one or more of the following: cabin charging parameter information in the cabin of the electric vehicle, charging data information, a list of non-inductive payment deduction cards bound by the cabin, and preferential information of the charging station, under the premise of ensuring that user information is not disclosed, and realizes determination of the charging station.
[0076] The computer readable medium of one aspect of the present application has a computer program stored thereon, which, when executed by a processor, implements the electric vehicle non-inductive charging payment method.
[0077] The computer device of one aspect of the present application comprises a storage module, a processor, and a computer program stored on the storage module and executable on the processor, and the processor implements the electric vehicle non-inductive charging payment method when executing the computer program.
[0078] The computer program product of one aspect of the present application comprises a computer program, which, when executed by a processor, implements the electric vehicle non-inductive charging payment method. BRIEF DESCRIPTION OF DRAWINGS
[0079] The above and other objects and advantages of the present application will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which like elements are referred to by like reference numerals, and in which:
[0080] FIG. 1 is a schematic flowchart of the electric vehicle non-inductive charging payment method of the present application.
[0081] FIG. 2 is a schematic diagram of the specific flow of the charging matching step S200 in the electric vehicle non-inductive charging payment method of the present application.
[0082] FIG. 3 is a schematic flowchart of the electric vehicle non-inductive charging payment method of one embodiment of the present application.
[0083] FIG. 4 is a structural block diagram of the electric vehicle non-inductive charging payment system of the present application. DETAILED DESCRIPTION
[0084] The following description is directed to some of the exemplary embodiments of the present application for the purpose of providing an overall understanding of the application. It will be apparent to those skilled in the art that the application is not limited to these embodiments.
[0085] For brevity and clarity of description, the principles of the present application are described herein primarily with reference to exemplary embodiments thereof. However, those skilled in the art will readily recognize that the same principles are equally applicable to all types of electric vehicle non-inductive charging payment methods and electric vehicle non-inductive charging payment systems and can be implemented in any such system, and any such variations are intended to be within the true spirit and scope of the present patent application.
[0086] Moreover, in the following description, reference is made to the accompanying drawings that form a part hereof, and in which are shown, by way of illustration, specific exemplary embodiments. Alterations, modifications, and improvements to such embodiments, which occur to the skilled in the art, are herein, within the spirit and scope of the application. In addition, while the present application is described in connection with various embodiments / implementations, it should be recognized that features from any of the embodiments / implementations can be employed with any other embodiment / implementation as can be desired and / or advantageous. Therefore, the following detailed description is not intended to be limiting, but is merely illustrative.
[0087] The terms such as "have" and "include" indicate that the technical scheme of the present application does not exclude the presence of other elements (modules) and steps not directly or explicitly expressed in the specification and claims, in addition to the elements (modules) and steps directly and explicitly expressed in the specification and claims.
[0088] FIG. 1 is a schematic flowchart of the method for inductive charging payment of the electric vehicle of the present application.
[0089] As shown in FIG. 1, the method for inductive charging payment of the electric vehicle of the present application is implemented by the electric vehicle and the charging service system, and the method includes the following three steps in brief:
[0090] The charging station determination step S100: the electric vehicle acquires the charging station information of the available charging stations in the surrounding area from the charging service system according to the position information of the electric vehicle, and determines the charging station to be charged according to the charging-related habit parameters of the electric vehicle and the bound payment card to recommend the most suitable charging station in the surrounding area on the electric vehicle side;
[0091] The charging matching step S200: the electric vehicle is navigated to the charging station determined by the user, and the electric vehicle is paired with the charging gun in the charging station through image detection pairing and radar detection pairing to realize charging (i.e., including the preliminary matching step realized by image detection, the accurate matching step realized by radar, and the charging step), and the charging parameter data detected by the electric vehicle itself and the charging parameter data monitored by the charging service system are verified at the same time; and
[0092] The charging fee payment step S300: after the charging is completed, the charging service system sends the charging fee data to the electric vehicle, the electric vehicle compares the charging fee data of itself, and in the case of successful comparison, the electric vehicle initiates a payment request to the payment platform and completes the payment of the charging fee.
[0093] In the following, the specific contents of the charging station determination step S100, the charging matching step S200, and the charging fee payment step S300 are described.
[0094] In the charging station determination step S100, under the premise of ensuring user information not to be disclosed, the most suitable charging station is recommended to the user by the cockpit system of the electric vehicle using the electric parameters in the cockpit system, charging fee data, the list of deduction cards bound by the cockpit system, and other information, so as to provide a better charging experience. The specific flow of the charging station recommendation step S100 includes:
[0095] 1) The cockpit system initiates a request to the charging service system for obtaining the charging station information of the surrounding available charging stations based on the location information, wherein the request can also include obtaining the preferential information of the charging station, etc.
[0096] 2) After receiving the request, the charging service system returns the charging station information of the surrounding available charging stations to the cockpit system;
[0097] 3) After receiving the charging station information, the cockpit system generates a recommended station list and reasons according to the cockpit system charging parameters, user usage habits, and the list of deduction cards bound by the cockpit system, such as slow charging to reduce battery wear, low cost, payment discount, etc.; and
[0098] 4) The cockpit system sorts according to the user selection tendency prediction and presents to the user through voice / screen, etc.
[0099] In the present application, the matching and recommendation of the charging station are performed on the cockpit system side according to the obtained charging station information. Compared with the scheme in the prior art that matches and recommends user data on the platform side, not only the user privacy can be protected, but also the analysis based on the full charging fee data of the user can be performed. For example, the charging fee data of the user at a certain brand station is only partial, and there is usually a competitive barrier between platforms, which does not want to share data for user recommendation, so that the recommended content does not meet the user demand.
[0100] FIG. 2 is a schematic diagram of the specific flow of the charging matching step S200 in the electric vehicle non-inductive charging payment method of the present application.
[0101] As shown in FIG. 2, the charging matching step S200 in the electric vehicle non-inductive charging payment method of the present application specifically includes the following steps:
[0102] S201: Determine the charging station through positioning and driving image information, etc.
[0103] S202: The cockpit system obtains the charging station digital model of the charging station from the charging service system, and on the other hand, switches the deduction card bound for charging payment to the corresponding deduction card with preferential treatment according to the deduction card preferential treatment provided by the charging station;
[0104] S203: The cockpit system determines the position and direction of the vehicle based on the image information captured by the camera and the comparison with the charging pile digital model.
[0105] S204: The cabin system determines the corresponding charging gun through the angle and position of the charging gun in the image information;
[0106] S205: The vehicle-mounted radar detects the position and direction of the charging gun in real time to determine the corresponding charging gun (S204 and S205 can be exchanged in sequence, or they can be performed simultaneously);
[0107] S206: The cabin system determines the corresponding charging gun of the electric vehicle through the image and radar, and initiates a request to start charging to the charging service system;
[0108] S207: The charging service system returns a start charging response and sends a charging instruction to the charging gun to start charging;
[0109] S208: The charging service system monitors the charging process in real time, such as monitoring the charging current, charging voltage, and other charging parameters, and transmits the charging parameter data to the cabin system;
[0110] S209: The cabin system checks the returned charging parameter data with the charging parameter data (current, voltage, etc.) detected by itself (of course, as a transformation method, this process can also be uploading data from the electric vehicle to the charging service system for verification);
[0111] S210: If the verification is consistent, it means that the charging is successful;
[0112] S211: If the verification is inconsistent, it means that the charging has an abnormal situation (for example, the charging power is inconsistent, or the charging has not started, etc., which means that the correspondence between the electric vehicle and the charging gun is pairing error), then an error is immediately reported and action is taken to correct it (for example, closing the current charging gun and opening the next selected charging gun for verification).
[0113] When the user uses the non-inductive charging payment, the existing technology can only bind one deduction card or use the default payment sequence for payment, and cannot select the deduction card to enjoy the discount. In the present application, the charging station discount is combined with the user's selection of the charging station (determined by positioning and driving image), and the cabin system can automatically switch according to the deduction card bound by itself.
[0114] In the charging fee payment step S300, the charging service system sends the charging fee data to the cabin system for comparison after the charging is completed, and signs the data to send to the payment platform to initiate payment and avoid transaction denial. The specific process includes:
[0115] 1) The charging station collects charging cost data in real time, including charging time, power, cost, etc. The charging service system stores the collected charging cost data in the charging service system to ensure data integrity and security;
[0116] 2) The charging service system sends charging parameter data to the cockpit system at a certain time, for example, sets a timing task to send charging cost data to the cockpit system at a certain time point in the charging service system;
[0117] 3) The cockpit system compares the charging cost data, that is, compares the received charging cost data with the charging cost data recorded in the cockpit system to verify the accuracy and integrity of the charging cost data;
[0118] 4) After the charging cost data comparison is successful, the cockpit system signs the charging cost data using a private key to ensure the authenticity and source of the data;
[0119] 5) The cockpit system uploads the signed charging cost data to the payment platform and initiates a payment request;
[0120] 6) After receiving the data, the payment platform verifies the signature of the charging cost data using the public key corresponding to the private key to ensure the authenticity and source of the data, and in the case of successful verification, performs corresponding payment processing based on the charging cost data; and
[0121] 7) The payment platform feeds back the payment processing result to the charging service system and the cockpit system.
[0122] In the charging cost payment step S300, through the signature and comparison of the charging cost data and the timing sending and comparison of the charging parameter data, the denial behavior of the transaction can be effectively prevented. Because once the transaction denial occurs, the authenticity of the transaction can be traced and verified by comparing the charging cost data of the cockpit system with the charging cost data stored in the charging service system.
[0123] FIG. 3 is a flowchart of a non-inductive charging payment method of an electric vehicle according to an embodiment of the present application.
[0124] As shown in FIG. 3, the non-inductive charging payment method of the electric vehicle according to an embodiment of the present application is realized through the cockpit system and the charging service system of the electric vehicle, and the method includes the following steps:
[0125] S1: The GPS system of the cockpit system starts to work and accurately obtains the position information of the electric vehicle;
[0126] S2: The cockpit system uploads the positioning to the charging service system and obtains the available charging stations nearby from the charging service system;
[0127] S3: Under the premise of ensuring that user information is not leaked, the cabin system recommends a charging station that is most suitable in terms of charging conditions to the user from nearby available charging stations according to charging parameters of the cabin system, user usage habits, a list of non-inductive deduction cards bound by the cabin system, and the like, to provide a better charging experience. For example, if an electric vehicle only supports slow charging, then fast charging station information is filtered. For another example, if it is predicted according to accumulated data of the electric vehicle that the user will charge overnight, then a slow charging station is recommended to reduce battery wear;
[0128] S4: The vehicle-mounted system is navigated to the selected charging station, and a charging station digital model of the charging station is obtained from the charging service system;
[0129] S5: If the charging station provides an A-line deduction card offer, the cabin system will switch the bound non-inductive deduction card to an A-line deduction card according to the offer provided by the charging station;
[0130] S6: The camera of the electric vehicle starts to work, captures images of driving, and provides the images to the cabin system;
[0131] S7: The cabin system pre-processes the video stream and / or images, such as noise reduction, enhancement, and the like (to facilitate subsequent algorithm processing);
[0132] S8: After the cabin system processes the images data through algorithms for image recognition and processing, feature images are obtained, the feature images are matched with the charging station digital model to determine the position and direction of the electric vehicle, and the correspondence relationship between the electric vehicle and the charging gun is judged, wherein the charging station digital model refers to a template image formed by pre-shooting the plug-in image of the charging gun in each direction of the charging station, and then training to obtain a digital model. By matching the real-time image with the charging station digital model, the correspondence relationship between the electric vehicle and the charging gun of the charging station can be determined;
[0133] S9: The radar of the electric vehicle starts to work, detects the position and direction of the charging gun in real time, and provides the radar data to the cabin system;
[0134] S10: The cabin system accurately pairs the charging gun and the electric vehicle according to the radar data, and realizes the correspondence relationship pairing between the electric vehicle and the charging gun;
[0135] S11: After confirming that the correspondence relationship pairing between the electric vehicle and the charging gun is successful, the cabin system initiates a request to start charging to the charging service system, and the charging service system returns a start charging response;
[0136] S12: After the charging starts, the charging service system monitors the charging process in real time, and transmits charging parameter data such as monitored charging current and charging voltage to the electric vehicle;
[0137] S13: The electric vehicle checks the returned charging parameter data with the charging parameter data (such as charging current, charging voltage, etc.) detected by itself. If an abnormal situation occurs (i.e., the corresponding relationship between the charging parameters of the electric vehicle itself and the charging parameters returned from the charging service system is incorrectly paired), an error is immediately reported and corresponding corrections are taken.
[0138] S14: After the charging is completed, the charging service system sends charging cost data to the electric vehicle;
[0139] S15: The electric vehicle compares the received charging cost data with the charging cost data recorded in the cabin system;
[0140] S16: After the charging cost data is matched, the charging cost data is signed using a private key, and the signed charging cost data is uploaded to the payment platform to initiate a payment request;
[0141] S17: After the payment platform receives the charging cost data, the signature of the charging cost data is verified using a public key to ensure the authenticity and source of the data. At the same time, the payment platform will perform corresponding payment processing according to the charging cost data;
[0142] S18: After the payment platform completes the payment processing, the results are fed back to the charging service system and the electric vehicle;
[0143] S19: The cabin system automatically records data related to each charging, such as charging time, charging capacity, charging cost, etc.; and
[0144] S20: After the above data is analyzed, it can be used to optimize charging strategies and can also be used to subsequently recommend the most suitable charging station, thereby providing a better charging experience.
[0145] In the above process shown in FIG. 3, two detection pairing methods, image detection pairing (S6-S8 in FIG. 3) and radar detection pairing (S9-S10 in FIG. 3), are used to realize the pairing of the electric vehicle and the charging gun. These two detection pairing methods are preferably used together, or one of them can be selected according to specific needs.
[0146] The case where the two detection pairing methods are used together is suitable for scenarios that require higher accuracy and stability, i.e., using visual algorithms and radar detection to pair at the same time. Visual algorithms mainly rely on cameras to determine the charging gun, while radar detection detects the position and attitude of the charging gun by transmitting signals and receiving reflected signals. The two complement each other and can provide more comprehensive and accurate information to improve the success rate of pairing.
[0147] The two detection pairing modes are adopted alternatively, which is suitable for scenarios considering cost, power consumption or real-time requirements, etc. In such scenarios, one of the methods can be selected for pairing. For example, only using the visual algorithm has low hardware cost, while in other scenarios, radar detection can provide more direct and real-time information.
[0148] Next, the specific process of the radar detection pairing mode (S9-S10 in FIG. 3) is described.
[0149] As an example, the radar detection pairing mode includes the following steps, for example:
[0150] The radar device emits signals to the surroundings and receives reflected signals. By analyzing the time difference of the reflected signals, the distance and position of the target object can be calculated;
[0151] The received radar signals are filtered, denoised, etc. to improve the signal-to-noise ratio and accuracy of the signals; and
[0152] Based on the azimuth, angle, etc. information of the target object detected by the radar, combined with the attitude information of the electric vehicle, a pairing algorithm is used to pair the electric vehicle with the charging gun.
[0153] FIG. 4 is a structural block diagram of the inductive charging payment system of the electric vehicle of the present application.
[0154] As shown in FIG. 4, the inductive charging payment system of the electric vehicle of the present application includes a cabin system 100 of the electric vehicle and a charging service system 200.
[0155] The cabin system 100 includes:
[0156] A charging station determination module 110 is configured to determine a charging station according to position information of the electric vehicle;
[0157] A preliminary pairing module 120 is configured to acquire a gun insertion image of a charging gun of the electric vehicle and a digital model of the charging station, and compare the gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun. The digital model of the charging station refers to a digital model of a template image formed by pre-shooting gun insertion images in each direction of each charging gun in the charging station;
[0158] A precise pairing module 130 is configured to detect the position and attitude of the charging gun by emitting signals and receiving reflected signals, and compare with the digital model to achieve precise pairing of the electric vehicle and the charging gun;
[0159] A charging module 140 is configured to implement charging of the electric vehicle; and
[0160] A charging fee payment module 150 is configured to issue a payment request based on charging fee data generated by charging of the electric vehicle.
[0161] Further, preferably, the cockpit system 100 can also have a recording module (not shown) for automatically recording and saving charging-related data each time of charging, wherein the charging-related data includes one or more of the following: charging time, charging amount, charging fee, charging station information.
[0162] Preferably, the charging station determination module 110 determines the most suitable charging station for the user from the surrounding available charging stations according to one or more of the cockpit charging parameter information, charging data information, cockpit-bound non-inductive payment deduction card list information, and charging station discount information in the cockpit of the electric vehicle, while ensuring that the user information is not disclosed.
[0163] The charging service system 200 comprises:
[0164] The charging station information providing module 210 provides charging station information of available charging stations in the surrounding of the location information received from the electric vehicle according to the location information;
[0165] The charging station digital model providing module 220 pre-stores charging station digital models of various charging stations and provides the digital model of the corresponding charging station according to the request from the electric vehicle, wherein the charging station digital model refers to a digital model of a template image formed by pre-shooting the insertion image of each direction of the charging gun in the charging station;
[0166] The charging monitoring module 230 is used for monitoring the charging parameters of the charging gun of the charging station in real time as first charging parameter data; and
[0167] The charging fee calculation module 240 is used for calculating the charging fee of the electric vehicle and providing the charging fee data to the cockpit system 100 of the electric vehicle.
[0168] Optionally, in the preliminary pairing module 120, the image of the position and direction of the charging gun obtained by the camera is compared with the charging station digital model to realize the pairing of the electric vehicle and the charging gun;
[0169] In the accurate pairing module 130, the distance and position information of the charging gun obtained by the radar is compared with the charging station digital model to realize the pairing of the electric vehicle and the charging gun.
[0170] In the charging module 140, the charging parameters of the electric vehicle itself during charging are further detected in real time as second charging parameter data, and the second charging parameter data is compared with the first charging parameter data obtained from the charging service system 200. The first charging parameter data and the second charging parameter data include one or more of the following: charging current, charging voltage, and charging time. Moreover, in the charging module 140, if the comparison is unsuccessful, the charging of the electric vehicle is paused.
[0171] Optionally, in the charging fee payment module 150, after the charging of the electric vehicle is completed, the recorded charging fee data of the electric vehicle is compared with the charging fee data obtained from the charging fee calculation module 240 of the charging service system 200. After the comparison is matched, a payment request is initiated based on the matched charging fee data.
[0172] Optionally, in the charging fee payment module 150, the matched charging fee data is signed with a private key, and the payment request is initiated.
[0173] As described above, in the electric vehicle non-sensing charging payment method and the electric vehicle non-sensing payment system of the present application, the image obtained by the camera and / or the video stream obtained by the radar and / or the image are compared with the charging station digital model obtained from the charging service system, which can accurately determine the matched charging gun of the electric vehicle (the so-called matched charging gun refers to the charging gun to be charged by the electric vehicle), and after the charging is started, the charging service system monitors the charging parameter data and sends it to the cockpit system, and the cockpit system determines whether they are consistent, thereby further ensuring the matching of the electric vehicle and the charging gun.
[0174] According to the electric vehicle non-sensing charging payment method and the electric vehicle non-sensing payment system of the present application, in the scenario of multi-gun mixed insertion of the public charging station and simultaneous insertion of two vehicles into the charging gun, the corresponding relationship between the charging gun and the electric vehicle can be accurately determined and the non-sensing charging payment can be completed, which can improve the convenience and safety of charging and provide a better charging experience for the vehicle owner. Moreover, under the premise of ensuring that user information is not disclosed, the cockpit system can recommend the most suitable charging station to the user by using the charging parameters, charging fee data, and the list of non-sensing payment deduction cards bound by the cockpit system, etc. to provide a better charging experience. Furthermore, the cockpit system can automatically switch the deduction card bound by itself according to the discount of the charging station, so that the user can obtain the maximum discount.
[0175] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto. Other feasible changes or replacements can be conceived by those skilled in the art according to the technical scope disclosed in the present application, and such changes or replacements are all encompassed in the protection scope of the present application. The embodiments and the features in the embodiments of the present application can also be combined with each other without conflict. The protection scope of the present application is defined by the claims.
Claims
1. A method for non-inductive charging payment of an electric vehicle, characterized by, The method comprises: a charging station determining step of determining a charging station according to position information of the electric vehicle; a preliminary pairing step of obtaining a gun insertion image of a charging gun of the electric vehicle and a digital model of the charging station, and comparing the gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to a digital model of a template image formed by pre-shooting gun insertion images of each charging gun in each direction of the charging station; a precise pairing step of detecting a position and an attitude of the charging gun by radar signal emission and reflection signal reception, and comparing the position and the attitude with the digital model to achieve precise pairing of the electric vehicle and the charging gun; a charging step of achieving charging of the electric vehicle after the precise pairing step; and a charging fee payment step of issuing a payment request based on charging fee data generated by charging of the electric vehicle.
2. The method according to claim 1, wherein in the preliminary pairing step, the electric vehicle compares an image of a position and a direction of the charging gun obtained by a camera with the digital model of the charging station to achieve preliminary pairing of the electric vehicle and the charging gun.
3. The method according to claim 1, wherein in the precise pairing step, the electric vehicle compares distance and position information of the charging gun obtained by a radar with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun.
4. The method according to claim 1, wherein in the charging step, further comprising: the electric vehicle itself detects charging parameter data in real time during charging and compares the charging parameter data with charging parameter data monitored by the charging station, and if the comparison and verification is unsuccessful, the charging of the electric vehicle is paused.
5. The method according to claim 2, wherein the charging parameter data comprises one or more of the following: charging current, charging voltage, charging time.
6. The method according to claim 1, wherein the charging station determining step comprises the following sub-steps: the electric vehicle obtains position information of itself; the electric vehicle obtains charging station information of surrounding available charging stations according to the position information; the electric vehicle recommends one or more charging stations from the surrounding available charging stations for a user to select according to charging related habits of the electric vehicle itself, wherein the charging related habits comprise one or more of the following: charging parameter information, user usage habit information, and non-sensing payment deduction card information; and a charging station to be charged by the electric vehicle is determined from the one or more charging stations.
7. The method according to claim 6, wherein the electric vehicle recommends one or more charging stations from the surrounding available charging stations for a user to select according to charging related habits of the electric vehicle itself comprises: According to one or more of the cabin charging parameter information, charging data information, cabin bound non-inductive payment deduction card list information in the cabin of the electric vehicle, and the discount information of the charging station, the cabin of the electric vehicle recommends the most suitable charging station to the user from the surrounding available charging stations.
8. The non-inductive charging payment method for electric vehicles according to claim 1, characterized in that, The preliminary pairing step includes the following sub-steps: The electric vehicle captures image information of the position and direction of the charging gun using a camera; The image information is pre-processed; and The pre-processed image information is compared with the digital model of the charging pile to determine the charging gun paired with the electric vehicle.
9. The non-inductive charging payment method for electric vehicles according to claim 1, characterized in that, The precise matching step includes the following sub-steps: The vehicle-mounted radar of the electric vehicle emits signals to the surroundings and receives reflected radar signals; The distance and position information of the charging gun is calculated based on the time difference of the radar signals; The distance and position information of the charging gun is pre-processed; And The pre-processed distance and position information of the charging gun is combined with the attitude information of the electric vehicle to determine the charging gun paired with the electric vehicle.
10. The non-inductive charging payment method for electric vehicles according to claim 1, characterized in that, The charging fee payment step includes the following sub-steps: After the electric vehicle charging is completed, the charging fee data recorded by the electric vehicle itself is compared with the charging fee data recorded by the charging station; And After the comparison and matching, a payment request is initiated based on the compared and matched charging fee data.
11. The non-inductive charging payment method for electric vehicles according to claim 1, characterized in that, The payment request initiated based on the charging fee data further includes initiating the payment request after signing the charging fee data with a private key.
12. The method of claim 1, wherein the payment is made by a non-contact charging system. Further comprising: A recording step, in which the electric vehicle automatically records and saves charging-related charging-related data each time, The charging-related data includes one or more of the following: charging time, charging power, charging fee, and charging station information.
13. A non-sensing charging payment system for electric vehicles, characterized in that: Including: An electric vehicle and a charging service system, The electric vehicle includes: A charging station determination module for determining a charging station based on the position information of the electric vehicle; A preliminary pairing module for obtaining the gun insertion image of the charging gun of the electric vehicle and the digital model of the charging station, comparing the gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to a digital model of a template image formed by pre-shooting the gun insertion image of each direction of each charging gun in the charging station; A precise pairing module for detecting the position and attitude of the charging gun by emitting signals and receiving reflected signals through a radar and comparing with the digital model to achieve precise pairing of the electric vehicle and the charging gun; A charging module for implementing charging of the electric vehicle; and A charging fee payment module for initiating a payment request based on the charging fee data generated by the charging of the electric vehicle, The charging service system includes: The charging station information providing module provides charging station information of available charging stations around the electric vehicle to the electric vehicle according to the position information received from the electric vehicle; and The charging station digital model providing module pre-stores charging station digital models of respective charging stations and provides the digital model of the corresponding charging station according to the request from the electric vehicle, wherein the charging station digital model refers to a digital model of template images formed by pre-shooting the images of respective directions of respective charging guns in the charging station.
14. The electric vehicle's non-inductive charging payment system of claim 13, wherein In the preliminary pairing module, the images of the position and direction of the charging gun obtained by the camera are compared with the charging station digital model to realize the pairing of the electric vehicle and the charging gun.
15. The electric vehicle's non-inductive charging payment system of claim 13, wherein In the accurate pairing module, the distance and position information of the charging gun obtained by the radar are compared with the charging station digital model to realize the pairing of the electric vehicle and the charging gun.
16. The electric vehicle's non-inductive charging payment system of claim 13, wherein The charging service system further comprises a charging monitoring module that monitors the charging parameters of the charging gun of the charging station in real time as first charging parameter data, The charging module further detects the charging parameters of the electric vehicle itself in real time as second charging parameter data and compares and verifies the second charging parameter data with the first charging parameter data obtained from the charging service system, and suspends the charging of the electric vehicle in the case of comparison and verification failure.
17. The electric vehicle's non-inductive charging payment system of claim 16, wherein The first charging parameter data and the second charging parameter data comprise one or more of the following: charging current, charging voltage, charging time, The charging module suspends the charging of the electric vehicle in the case of unsuccessful comparison and verification.
18. The electric vehicle's non-inductive charging payment system of claim 14 or 15, wherein In the preliminary pairing module, the camera of the electric vehicle captures image information of the position and direction of the charging gun, pre-processes the image information, compares the pre-processed image information with the charging pile digital model, and determines the charging gun paired with the electric vehicle.
19. The electric vehicle's non-inductive charging payment system of claim 14 or 15, wherein In the accurate pairing module, the vehicle-mounted radar of the electric vehicle emits signals to the surroundings and receives radar signals reflected back, calculates the distance and position information of the charging gun based on the time difference of the radar signals, pre-processes the distance and position information of the charging gun, and determines the charging gun paired with the electric vehicle based on the pre-processed distance and position information of the charging gun and the attitude information of the electric vehicle.
20. The electric vehicle's non-inductive charging payment system of claim 16, wherein The charging service system further comprises a charging fee calculation module for calculating the charging fee of the electric vehicle and providing charging fee data to the electric vehicle, The charging fee payment module compares the charging fee data recorded by the electric vehicle with the charging fee data obtained from the charging service system after the charging of the electric vehicle is completed, and initiates a payment request based on the compared charging fee data.
21. The non-inductive charging payment system of the electric vehicle according to claim 20, wherein In the charging fee payment module, the compared charging fee data is further signed by a private key and the payment request is initiated.
22. The non-inductive charging payment system for electric vehicles of claim 13, wherein, The electric vehicle further comprises: A recording module for automatically recording and saving charging-related data related to each charging, wherein the charging-related data comprises one or more of the following: charging time, charging power, charging fee, charging station information.
23. A cockpit system characterized by, Comprise: A charging station determination module for determining the charging station according to the location information of the electric vehicle; A preliminary pairing module for obtaining the gun insertion image of the charging gun of the electric vehicle and the digital model of the charging station, comparing the gun insertion image with the digital model to achieve preliminary pairing of the electric vehicle and the charging gun, wherein the digital model of the charging station refers to a digital model of a template image formed by pre-shooting the gun insertion image of each charging gun in each direction in the charging station; A precise pairing module for detecting the position and posture of the charging gun by emitting and receiving reflected signals by radar and comparing with the digital model to achieve precise pairing of the electric vehicle and the charging gun; A charging module for realizing charging of the electric vehicle; and A charging fee payment module for initiating a payment request based on the charging fee data generated by the charging of the electric vehicle.
24. The cockpit system according to claim 23, wherein The charging module further detects the charging parameters of the electric vehicle itself in real time during charging and compares the charging parameters with the charging parameter data obtained from the external monitoring charging gun, and suspends the charging of the electric vehicle in case of comparison and verification failure.
25. The cockpit system according to claim 24, wherein In the preliminary pairing module, the image of the position and direction of the charging gun obtained by the camera is compared with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun, In the precise matching module, the distance and position information of the charging gun obtained by the radar is compared with the digital model of the charging station to achieve pairing of the electric vehicle and the charging gun.
26. The cockpit system according to claim 25, wherein The charging station determination module recommends the most suitable charging station to the user from the surrounding available charging stations based on one or more of the following: cockpit charging parameter information, charging data information, cockpit bound non-inductive payment deduction card list information in the cockpit of the electric vehicle, and charging station discount information, and realizes the determination of the charging station under the premise of ensuring that the user information is not disclosed.
27. A computer readable medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the non-inductive charging payment method of the electric vehicle according to any one of claims 1-12.
28. A computer device, comprising a storage module, a processor, and a computer program stored in the storage module and capable of running on the processor, wherein when the processor executes the computer program, the electric vehicle's non-perception charging payment method of any one of claims 1-12 is implemented.
29. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the electric vehicle's non-perception charging payment method of any one of claims 1-12 is implemented.
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