Electric vehicle charging fee deduction method, device and equipment based on 5G Internet of Things

Abstract

The invention relates to an electric vehicle charging fee deduction method, device and equipment based on the 5G Internet of Things, and is applied to the field of financial services, and the method comprises the steps: receiving an electric vehicle charging request; acquiring charging pile information of idle charging piles; determining a target charging pile according to the electric vehicle position and the charging pile position; calculating predicted charging cost according to the target charging amount, freezing an amount corresponding to the predicted charging cost in the account, generating guiding information of the target charging pile, sending the guiding information to the electric vehicle, and guiding the electric vehicle to arrive at and access the target charging pile; and generating charging information according to the identity information of the electric vehicle and the target charging amount, sending the charging information to the target charging pile, and controlling the target charging pile to charge the electric vehicle and deduct fees from the frozen amount. According to the embodiment of the invention, the owner of the electric vehicle does not need to scan a two-dimensional code on the charging pile through intelligent equipment for payment, non-inductive charging fee payment is realized, and the charging fee deduction convenience of the electric vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, which is applied to the field of financial services to provide services for shopping malls, bank outlets and other places that cooperate with banks, and in particular to a method, device and equipment for charging electric vehicles based on 5G Internet of Things. Background Art

[0002] With the continuous development of new energy technology (i.e. technology that uses electricity as the main energy source), in the field of financial services, charging parking lots in shopping malls, scenic spots, schools and bank branches that cooperate with banks often have a large number of electric vehicles with charging needs. Along with this, large-scale deployment of charging piles has followed. As the number of charging piles increases, although more electric vehicles can be accommodated for charging, it also causes difficulties for electric car owners to find charging piles.

[0003] There is an essential difference between charging an electric vehicle and refueling a gasoline vehicle. It takes much less time to fill a tank of gasoline than an electric vehicle. Electric vehicles need to occupy a charging pile for a long time to charge. Therefore, all charging piles deployed in a certain area are often occupied, causing other electric vehicle owners to need to find charging piles in other areas. In addition, there is a problem of running out of power while looking for charging piles, which makes the electric vehicle unable to continue driving. In addition, after the electric vehicle is charged, the owner needs to use a mobile phone or other smart device to scan the QR code on the charging pile to pay, which makes the payment process cumbersome and reduces the charging experience of electric vehicles. Summary of the invention

[0004] In order to solve the problem that it is difficult for electric vehicle owners to find charging piles, the battery is easily exhausted, which makes the electric vehicle unable to continue driving, and after charging is completed, the owner needs to use a mobile phone or other smart device to scan the QR code on the charging pile to pay, which makes the payment process cumbersome and reduces the user experience of the electric vehicle. The embodiment of the present invention provides an electric vehicle charging deduction method, device and equipment based on 5G Internet of Things, which takes the charging pile as a node in the 5G Internet of Things, obtains the charging pile information and the electric vehicle information through the perception layer, and then uploads the obtained charging pile information and electric vehicle information to the application layer through the 5G network layer. The application layer deploys an application model to process the charging pile information and the electric vehicle information, and obtains the charging pile guidance information corresponding to the electric vehicle and the deduction amount, and sends the charging pile guidance information to the electric vehicle owner through the 5G network layer, so that the electric vehicle owner can drive the electric vehicle to the corresponding charging pile for charging according to the charging pile guidance information and automatically deduct according to the deduction amount.

[0005] In order to solve any of the above technical problems, the specific technical solutions of the present invention are as follows:

[0006] The embodiment of the present invention provides a method for charging electric vehicles based on 5G Internet of Things, including:

[0007] receiving an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle;

[0008] Acquire charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes the locations of the charging piles;

[0009] Determine, according to the target charging amount, the electric vehicle position and the charging pile position, an idle charging pile that matches the electric vehicle charging request from a plurality of idle charging piles as a target charging pile;

[0010] Calculating an estimated charging fee according to the target charging amount and the charging information of the target charging pile, and freezing the amount corresponding to the estimated charging fee in the account of the electric vehicle;

[0011] Generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile;

[0012] Generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount;

[0013] After charging is completed, the frozen amount is deducted.

[0014] Furthermore, the method further comprises:

[0015] After charging is completed, calculating actual charging costs according to the actual charging amount of the electric vehicle;

[0016] Deductions from the frozen amount further include:

[0017] Determining whether the actual charging cost exceeds the estimated charging cost;

[0018] If not, deduct the actual charging fee from the frozen amount, and unfreeze the remaining amount;

[0019] If so, the frozen amount will be fully deducted, and the remaining amount of the actual charging fee exceeding the amount will be deducted from the account.

[0020] Further, determining an idle charging pile matching the electric vehicle charging request from a plurality of idle charging piles according to the target charging amount, the electric vehicle position and the charging pile position as the target charging pile further includes:

[0021] Calculating the distance between the position of the electric vehicle and the charging pile position of each idle charging pile;

[0022] Selecting a plurality of idle charging piles whose distances are lower than a predetermined threshold to obtain a plurality of charging piles to be selected;

[0023] A charging pile that matches the target charging amount is selected from a plurality of charging piles to be selected as the target charging pile.

[0024] Further, selecting a candidate charging pile that matches the target charging amount from a plurality of candidate charging piles as the target charging pile includes:

[0025] Determine the parking convenience of each candidate charging pile, wherein the parking convenience indicates the convenience of electric vehicles entering and exiting the parking area corresponding to the candidate charging pile;

[0026] A charging pile for selection whose parking convenience is consistent with the target charging amount is selected from a plurality of charging piles for selection as the target charging pile.

[0027] Furthermore, selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further includes:

[0028] Inputting the target charging amount and the parking convenience corresponding to each to-be-selected charging pile into a pre-trained neural network model to obtain the target parking convenience corresponding to the target charging amount, wherein the neural network model is pre-trained for multiple charging amounts and the parking conveniences marked with each charging amount;

[0029] The candidate charging pile corresponding to the target parking convenience is used as the target charging pile.

[0030] Furthermore, the electric vehicle charging request also includes the rated charging power of the electric vehicle;

[0031] Selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further includes:

[0032] A charging pile whose parking convenience is consistent with the target charging amount and whose charging power is consistent with the rated charging power of the electric vehicle is selected from a plurality of candidate charging piles as the target charging pile.

[0033] Further, in the case where the target charging pile is not determined from a plurality of idle charging piles according to the distance, the method further includes:

[0034] In the case where the target charging pile is not determined from a plurality of idle charging piles according to the distance, the method further includes:

[0035] Obtaining the remaining cruising range of the electric vehicle through the 5G network layer;

[0036] Obtaining the charging pile positions and current charging progress of multiple charging piles in a charging state through the 5G network layer;

[0037] Determine a queue charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile;

[0038] Generate guidance information of the queuing charging pile, and send the guidance information of the queuing charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the queuing charging pile is used to guide the electric vehicle to arrive at the queuing charging pile;

[0039] The charging information is sent to the queuing charging pile through the 5G network layer. The charging information is also used to control the queuing charging pile to charge the connected electric vehicle matching the identity information of the electric vehicle according to the target charging amount after the current charging is completed.

[0040] Further, the current charging progress includes the remaining charging time;

[0041] Determining a queued charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile further includes:

[0042] Selecting a charging pile from a plurality of charging piles whose distance between the charging pile position and the electric vehicle position is less than the remaining cruising range, and calculating the driving time of the selected charging pile for the distance between the charging pile position and the electric vehicle position;

[0043] From the selected charging piles, a charging pile whose time difference between the driving time and the remaining charging time is less than a predetermined threshold value is determined as a queuing charging pile.

[0044] Furthermore, controlling the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount further includes:

[0045] The target charging pile is controlled to refuse to charge electric vehicles other than those with the electric vehicle identity information before being connected to the electric vehicle with matching electric vehicle identity information.

[0046] Furthermore, the method further comprises:

[0047] Analyzing multiple electric vehicle charging requests of the same electric vehicle to obtain the charging habits of the electric vehicle;

[0048] Determine the target charging pile according to the charging habit of the electric vehicle and the charging pile information of the idle charging pile acquired in real time, and generate charging guidance information for the electric vehicle, wherein the charging guidance information includes guidance information corresponding to the target charging pile and charging information of the electric vehicle;

[0049] Providing the charging guidance information to the electric vehicle;

[0050] After receiving a confirmation message of the charging guidance information, the charging information of the electric vehicle is sent to the target charging pile.

[0051] On the other hand, an embodiment of the present invention further provides an electric vehicle charging fee deduction device based on 5G Internet of Things, comprising:

[0052] An electric vehicle charging request receiving unit, configured to receive an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle;

[0053] A charging pile information acquisition unit, used to acquire charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes a charging pile location;

[0054] a target charging pile determining unit, configured to determine an idle charging pile that matches the electric vehicle charging request from a plurality of idle charging piles according to the target charging amount, the electric vehicle position and the charging pile position, as the target charging pile;

[0055] An estimated charging fee freezing unit, used to calculate the estimated charging fee according to the target charging amount and the billing information of the target charging pile, and freeze the amount corresponding to the estimated charging fee in the account of the electric vehicle;

[0056] A guidance information generating unit, configured to generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile;

[0057] A charging control unit, configured to generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount;

[0058] The deduction unit is used to deduct fees from the frozen amount.

[0059] On the other hand, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above method when executing the computer program.

[0060] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above method when executed by a processor.

[0061] The beneficial effects of the embodiments of the present invention are as follows:

[0062] The embodiment of the present invention uses charging piles and electric vehicles as nodes in the 5G Internet of Things, constructs a 5G Internet of Things system to schedule tasks for charging piles, and performs real-time communication through the 5G network to achieve rapid response. When the electric vehicle needs to be charged, the electric vehicle charging request is quickly sent to the server through the 5G network layer. In addition, the server also obtains idle charging pile information through the 5G network layer, and then determines an idle charging pile that matches the electric vehicle charging request from the idle charging piles, instead of searching for multiple charging piles for users to choose, thereby improving the convenience of users. In addition, the guidance information of the target charging pile is generated, and the guidance information is sent to the electric vehicle through the 5G network layer, thereby guiding the electric vehicle to arrive at and access the target charging pile. In addition, in order to avoid the electric vehicle arriving at and accessing the target charging pile before the electric vehicle arrives, the charging information of the electric vehicle is also sent to the target charging pile in advance through the 5G network, thereby controlling the target charging pile to charge only the electric vehicle, avoiding the target charging pile being occupied by other electric vehicles when the user arrives at the target charging pile, thereby improving the convenience of users charging the electric vehicle.

[0063] The embodiments of the present invention realize the allocation of target charging piles for electric vehicles according to the position of the electric vehicle and the positions of idle charging piles, and controls the target charging piles to charge the electric vehicle according to the target charging amount of the electric vehicle. This realizes the allocation of charging piles for electric vehicles based on the principle of proximity, while also avoiding the waste of resources caused by the electric vehicle occupying the charging piles for a long time after being fully charged.

[0064] The embodiment of the present invention precalculates the estimated charging fee according to the target charging amount of the electric vehicle, freezes the amount corresponding to the estimated charging fee in the account of the electric vehicle, and deducts the fee from the frozen amount after the charging is completed. There is no need for the electric vehicle owner to scan the QR code on the charging pile through smart devices such as mobile phones to pay, thus realizing contactless payment of charging fees and further improving the convenience of charging fee deduction for electric vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only 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.

[0066] Figure 1 It is a schematic diagram of an implementation system of a method for charging and deducting electric vehicles based on 5G Internet of Things in an embodiment of the present invention;

[0067] Figure 2 The figure is a flow chart of a method for charging and deducting fees for electric vehicles based on 5G Internet of Things in an embodiment of the present invention;

[0068] Figure 3 FIG. 1 is a schematic diagram of a process for determining a target charging pile in an embodiment of the present invention;

[0069] Figure 4 The figure is a schematic diagram of a process of selecting a candidate charging pile that meets the charging request of the electric vehicle from a plurality of candidate charging piles as the target charging pile in an embodiment of the present invention;

[0070] Figure 5 The figure shows a flow chart of selecting a candidate charging pile that meets the charging request of the electric vehicle from a plurality of candidate charging piles as the target charging pile in another embodiment of the present invention;

[0071] Figure 6 The figure is a schematic diagram of a process of selecting a candidate charging pile whose parking convenience is consistent with the target charging amount from a plurality of candidate charging piles as the target charging pile in an embodiment of the present invention;

[0072] Figure 7 It is a schematic diagram of a process of determining a queuing charging pile when there is no available idle charging pile near an electric vehicle in an embodiment of the present invention;

[0073] Figure 8The figure is a schematic diagram of a process of determining a queuing charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile in an embodiment of the present invention;

[0074] Fig. 9 The figure is a schematic diagram of a process of analyzing the charging habits of an electric vehicle and determining a target charging pile for the electric vehicle in an embodiment of the present invention;

[0075] Fig.10 The figure shows a schematic diagram of the structure of an electric vehicle charging fee deduction device based on 5G Internet of Things in an embodiment of the present invention;

[0076] Fig.11 FIG. 2 is a schematic diagram showing the structure of a computer device in an embodiment of the present invention.

[0077]

Description of reference numerals

[0078] 101. Perception layer;

[0079] 1011. Charging piles;

[0080] 1012. Electric vehicles;

[0081] 102. Network layer;

[0082] 103. Platform layer;

[0083] 1001. Electric vehicle charging request receiving unit;

[0084] 1002. Charging pile information acquisition unit;

[0085] 1003. Target charging pile determination unit;

[0086] 1004. Estimated charging cost freezing unit;

[0087] 1005. Guidance information generating unit;

[0088] 1006. Charging control unit;

[0089] 1007. Charge unit;

[0090] 1102. Computer equipment;

[0091] 1104. Processing equipment;

[0092] 1106. Storage resources;

[0093] 1108. Driving mechanism;

[0094] 1110, input / output module;

[0095] 1112. Input device;

[0096] 1114. Output device;

[0097] 1116. Presentation equipment;

[0098] 1118. Graphical user interface;

[0099] 1120, network interface;

[0100] 1122. Communication link;

[0101] 1124. Communication bus. DETAILED DESCRIPTION

[0102] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0103] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0104] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0105] It should be noted that the information collected in the embodiments of this specification is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0106] like Figure 1The diagram shows a schematic diagram of an implementation system of an electric vehicle charging deduction method based on 5G Internet of Things in an embodiment of the present invention, which can be applied to a smart park with a bank as the core, for example, to provide services for places such as shopping malls and bank outlets that cooperate with banks. Specifically, it can include: a perception layer 101, a network layer 102 and a platform layer 103, the network layer 101 is used to obtain terminal information through components such as sensors, and then pass the information to the platform layer 103 through the network layer 102 constructed by 5G network technology, and a processor is deployed on the platform layer 103 to process the information transmitted by the network layer 102. In the embodiment of this specification, the charging pile 1011 and the electric vehicle 1012 are used as nodes in the 5G Internet of Things, that is, sensors are deployed on the charging pile 1011 and the electric vehicle 1012 to obtain the information of the charging pile 1011 and the electric vehicle 1012, and the information is transmitted to the platform layer through the network layer, and the platform layer 103 then performs task scheduling on the charging pile 1011 and allocates the corresponding charging pile 1011 to the electric vehicle 1012.

[0107] The platform layer 103 may be a server within a bank, which deducts the fee from the account of the electric vehicle after charging is completed.

[0108] In one embodiment, the perception layer 101 mainly includes charging piles 1011 and electric vehicles 1012, which collect relevant information about the charging piles and electric vehicles through sensors. The network layer 102 is responsible for transmitting the information collected by the perception layer 101 to the platform layer 103 through 5G network technology. The platform layer 103 is provided with a processor to process the information transmitted by the network layer 102, and perform task scheduling on the charging piles 1011 according to the processing results, and allocate corresponding charging piles 1011 to the electric vehicles 1012.

[0109] During the charging process, the platform layer 103 monitors the status of the charging pile 1011 and the electric vehicle 1012 in real time. When charging is completed, the platform layer 103 automatically deducts the corresponding fees from the account of the electric vehicle according to the actual usage of the charging pile 1011 and the electric vehicle 1012. In addition, the platform layer 103 will also synchronize the deduction information to the bank account associated with the electric vehicle 1012 to ensure that the user understands the charging fee.

[0110] In combination with specific scenarios, specific application solutions of the above embodiments are given:

[0111] In a specific application scenario, for example, a shopping mall that cooperates with a bank has multiple charging piles 1011 in the mall. After a customer drives an electric vehicle 1012 to the mall, he can make a reservation for the charging pile through the sensor of the perception layer 101. After the reservation is successful, the network layer 102 transmits the reservation information to the platform layer 103, and the platform layer 103 assigns the nearest charging pile 1011 to the electric vehicle 1012 according to the reservation information. During the charging process, the platform layer 103 will monitor the status of the charging pile 1011 and the electric vehicle 1012 in real time to ensure that the charging process proceeds smoothly.

[0112] When charging is completed, the platform layer 103 will automatically deduct the corresponding fees from the account of the electric vehicle according to the actual usage of the charging pile 1011 and the electric vehicle 1012. At the same time, the platform layer 103 will synchronize the deduction information to the bank account associated with the electric vehicle 1012 to ensure that the user is aware of the charging fee in a timely manner. In addition, the platform layer 103 can also send a charging completion notification and deduction details to the user, so that the user can query and manage the charging record.

[0113] In order to improve the utilization rate of charging piles, the platform layer 103 can also dynamically schedule the charging piles according to the real-time usage of the charging piles 1011 to ensure that the charging pile resources are reasonably allocated. For example, when the charging time of a charging pile 1011 is short, the platform layer 103 can give priority to allocating the charging pile to other reserved electric vehicles 1012 to improve the utilization rate of the charging piles.

[0114] In summary, the embodiment of the present invention is a method for charging and deducting electric vehicles based on 5G Internet of Things. Through the collaborative work of the perception layer 101, the network layer 102 and the platform layer 103, the efficient matching of the charging pile 1011 and the electric vehicle 1012 is achieved, ensuring the smooth progress of the charging process, while realizing automatic deduction and synchronization of fee details, providing users with convenient and efficient charging services. In addition, the present invention can also be applied to other smart parks that cooperate with banks, such as bank outlets, office buildings and other places, to provide users with convenient charging services.

[0115] In addition, it should be noted that Figure 1 What is shown is only one application environment provided by the present disclosure. In actual application, other application scenarios may also be included, and the present invention is not limited thereto.

[0116] In order to solve the problems existing in the prior art, an embodiment of the present invention provides an electric vehicle charging deduction method based on 5G Internet of Things, which takes the charging pile as a node in the 5G Internet of Things, obtains the charging pile information and the electric vehicle information through the perception layer, and then uploads the obtained charging pile information and the electric vehicle information to the application layer through the 5G network layer. The application layer deploys an application model to process the charging pile information and the electric vehicle information, and obtains the charging pile guidance information corresponding to the electric vehicle and the deduction amount. The charging pile guidance information is sent to the electric vehicle owner through the 5G network layer, so that the electric vehicle owner can drive the electric vehicle to the corresponding charging pile for charging according to the charging pile guidance information and automatically deduct according to the deduction amount. Figure 2 The figure shows a flow chart of a method for charging and deducting electric vehicles based on 5G Internet of Things according to an embodiment of the present invention. This figure describes the process of scheduling tasks and deducting charging fees for charging piles based on the charging request of the electric vehicle and the information of the charging piles, but it may include more or fewer operating steps based on conventional or non-creative labor. The sequence of steps listed in the embodiment is only one way of executing the steps among many sequences, and does not represent the only execution sequence. When the system or device product is executed in practice, it can be executed in sequence or in parallel according to the method shown in the embodiment or the accompanying drawings. Specifically, Figure 2 As shown, the method may be performed by the platform layer 103, and may include:

[0117] Step 201: receiving an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle;

[0118] Step 202: acquiring charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes the locations of the charging piles;

[0119] Step 203: determining an idle charging pile that matches the charging request of the electric vehicle from a plurality of idle charging piles according to the target charging amount, the position of the electric vehicle and the position of the charging pile as a target charging pile;

[0120] Step 204: Calculate the estimated charging fee according to the target charging amount and the charging information of the target charging pile, and freeze the amount corresponding to the estimated charging fee in the account of the electric vehicle;

[0121] Step 205: Generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, where the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile;

[0122] Step 206: Generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount;

[0123] Step 207: After the charging is completed, the fee is deducted from the frozen amount.

[0124] In an embodiment, in step 201, the 5G network layer may further include a 5G core network and a 5G base station, and the 5G core network is used to process charging requests and charging pile information from the 5G base station, and send the processing results to the application layer.

[0125] In step 202, the information of idle charging piles can be broadcast through the 5G base station, or the information of idle charging piles can be queried through the 5G core network.

[0126] In step 203, an optimization algorithm (such as a nearest neighbor algorithm, a K-means algorithm, etc.) may be used to determine the best charging pile according to the matching degree between the target charging amount, the position of the electric vehicle and the position of the charging pile.

[0127] In step 204, the estimated charging cost can be calculated according to the target charging amount and the charging standard of the target charging pile (such as electricity price, charging time, etc.), and the estimated charging cost can be frozen in the electric vehicle account.

[0128] In step 205, guidance information of the target charging pile is generated, and the guidance information may include information such as the location, charging status, and charging rate of the target charging pile, and is sent to the electric vehicle through the 5G network layer.

[0129] In step 206, charging information is generated, including the electric vehicle identity information, target charging amount, charging start time, etc., and the charging information is sent to the target charging pile through the 5G network layer. After the target charging pile receives the charging information, it can charge the connected electric vehicle according to the charging information.

[0130] In step 207, after charging is completed, the actual charging fee is deducted from the frozen amount according to the actual charging amount and the charging standard of the charging pile, and the deduction result is returned to the electric vehicle owner.

[0131] The embodiment of the present invention uses charging piles and electric vehicles as nodes in the 5G Internet of Things, constructs a 5G Internet of Things system to schedule tasks for charging piles, and performs real-time communication through the 5G network to achieve rapid response. When the electric vehicle needs to be charged, the electric vehicle charging request is quickly sent to the server through the 5G network layer. In addition, the server also obtains idle charging pile information through the 5G network layer, and then determines an idle charging pile that matches the electric vehicle charging request from the idle charging piles, instead of searching for multiple charging piles for users to choose, thereby improving the convenience of users. In addition, the guidance information of the target charging pile is generated, and the guidance information is sent to the electric vehicle through the 5G network layer, thereby guiding the electric vehicle to arrive at and access the target charging pile. In addition, in order to avoid the electric vehicle arriving at and accessing the target charging pile before the electric vehicle arrives, the charging information of the electric vehicle is also sent to the target charging pile in advance through the 5G network, thereby controlling the target charging pile to charge only the electric vehicle, avoiding the target charging pile being occupied by other electric vehicles when the user arrives at the target charging pile, thereby improving the convenience of users charging the electric vehicle.

[0132] In addition, the embodiment of the present invention also provides a dynamic adjustment strategy for charging piles to optimize the utilization and working efficiency of charging piles. Specifically, the strategy includes the following aspects:

[0133] 1. Charging pile load balancing: By real-time monitoring of the charging status and load conditions of each charging pile, the application layer can dynamically adjust the charging task according to the load conditions of the charging pile to avoid excessive load on a certain charging pile, thereby ensuring the stable operation and charging efficiency of the charging pile.

[0134] 2. Adjustment of charging pile priority: According to the charging needs of electric vehicles and the actual situation of charging piles, the application layer can dynamically adjust the priority of charging piles, giving priority to assigning tasks to charging piles that are closer to electric vehicles and in good charging status, so as to improve charging efficiency.

[0135] 3. Charging period optimization: The application layer can dynamically adjust the charging period according to the charging needs of charging piles and electric vehicles, as well as the peak and trough periods of power consumption in the power grid, thereby reducing charging costs and improving the utilization rate of charging piles.

[0136] 4. Charging mode optimization: According to the charging needs of electric vehicles and the actual situation of charging piles, the application layer can dynamically adjust the charging mode, such as fast charging, slow charging, etc., to meet the charging needs of different types of electric vehicles and improve the utilization rate of charging piles.

[0137] Through the above dynamic adjustment strategy, the embodiment of the present invention can effectively improve the utilization rate and work efficiency of the charging pile, reduce the charging cost, and improve the user experience. In addition, the embodiment of the present invention can also be further applied to other fields, such as smart home, industrial automation, etc., to achieve optimal allocation and efficient utilization of resources.

[0138] In summary, the embodiment of the present invention provides a method for charging electric vehicles based on 5G Internet of Things. By building a 5G Internet of Things system, real-time communication and task scheduling between charging piles and electric vehicles are realized, thereby improving charging efficiency and user experience. At the same time, the embodiment of the present invention also provides a dynamic adjustment strategy for charging piles to optimize the utilization rate and work efficiency of charging piles.

[0139] The embodiments of this specification realize the allocation of target charging piles for electric vehicles according to the position of the electric vehicle and the positions of idle charging piles, and controls the target charging piles to charge the electric vehicle according to the target charging amount of the electric vehicle. This realizes the allocation of charging piles for electric vehicles based on the principle of proximity, while also avoiding the waste of resources caused by the electric vehicle occupying the charging piles for a long time after being fully charged.

[0140] The embodiment of the present invention precalculates the estimated charging fee according to the target charging amount of the electric vehicle, freezes the amount corresponding to the estimated charging fee in the account of the electric vehicle, and deducts the fee from the frozen amount after the charging is completed. There is no need for the electric vehicle owner to scan the QR code on the charging pile through smart devices such as mobile phones to pay, thus realizing contactless payment of charging fees and further improving the convenience of charging fee deduction for electric vehicles.

[0141] In an embodiment of the present invention, an intelligent control platform can be deployed on an electric vehicle. The intelligent control platform can obtain the power, battery capacity, and location of the electric vehicle through sensors deployed on the electric vehicle. The intelligent control platform can calculate the remaining range and target charge of the electric vehicle based on the power and battery capacity obtained by the sensors, and automatically determine whether the electric vehicle needs to be charged. When the intelligent control platform needs to charge the electric vehicle, it will send an electric vehicle charging request based on the target charge, the location of the electric vehicle, and the identity information of the electric vehicle, and send the electric vehicle charging request to the platform layer through the 5G network layer. In addition, the intelligent control platform can also intervene in the work of the electric vehicle, such as autonomous driving.

[0142] Sensors can be deployed on the charging piles to obtain charging pile information such as the location, power, charging status, voltage, current, etc., and then send the charging pile information to the platform layer through the 5G network layer, so that the platform layer can grasp the real-time information of the charging piles.

[0143] After receiving the charging request of the electric vehicle, the platform layer determines an idle charging pile that matches the charging request of the electric vehicle from multiple idle charging piles according to the position of the electric vehicle and the position of the charging pile as the target charging pile.

[0144] Then, the guidance information of the target charging pile is generated and sent to the intelligent control platform of the electric vehicle through the 5G network layer. The intelligent control platform drives the electric vehicle to reach and connect to the target charging pile according to the guidance information.

[0145] In addition, the present invention can also deploy intelligent navigation equipment near the charging pile and connect it to the platform layer through the 5G network. The intelligent navigation equipment can obtain real-time traffic information near the charging pile, such as road congestion, charging pile usage, etc. The platform layer can plan the optimal charging route for the electric vehicle based on this information, while avoiding the extension of charging time caused by traffic congestion and other reasons.

[0146] After the electric vehicle is connected to the target charging pile, the intelligent control platform can monitor the vehicle charging process in real time, including charging voltage, current, charging progress, etc. When charging is completed or the charging progress reaches the preset value, the intelligent control platform can automatically disconnect the charging connection to ensure the safety of electric vehicle charging.

[0147] In terms of charging costs, the present invention provides a charging cost calculation method based on factors such as the idle time of the charging pile, the charging amount, and the charging period. The platform layer can calculate the charging cost of the electric vehicle in real time based on these factors, and send the charging cost information to the intelligent control platform through the 5G network layer. The intelligent control platform can realize the automation of charging fee deduction based on the charging cost information.

[0148] In order to improve the utilization rate of the charging pile, the present invention can also monitor and manage the charging pile in real time through the platform layer. When the charging pile is not used for a long time or the idle time exceeds a preset value, the platform layer can send a command to put the charging pile into a standby state so as to provide charging services for electric vehicles in a timely manner.

[0149] In addition, when determining the target charging pile, the platform layer also generates charging information based on the electric vehicle identity information and the target charging amount, and sends the charging information to the charging pile. Therefore, after the charging pile recognizes that an electric vehicle is connected, it determines whether the connected electric vehicle matches the electric vehicle identity information in the charging information, thereby ensuring that the charging pile accurately charges the electric vehicle and avoids the charging pile being occupied by other electric vehicles before the electric vehicle arrives. Then the charging pile charges the electric vehicle according to the target charging amount, thereby realizing intelligent charging.

[0150] In the embodiments of this specification, electric vehicles may include electric cars, electric motorcycles, electric bicycles, etc., and this specification does not limit the embodiments.

[0151] In the embodiments of this specification, the charging pile can be connected to the dual-circuit mains by low-voltage mother-coupled automatic switching. In order to ensure that emergency charging can still be performed after a mains failure, a backup generator system is also provided. The backup generator system can provide power to the charging pile after a mains failure. The backup power generation system can also be used as a node in the 5G Internet of Things. Sensors are used to obtain the status of the charging pile and the working status of the backup generator. The acquired status of the charging pile and the working status of the backup generator are quickly transmitted to the platform layer through the 5G network layer, so that the platform layer can monitor whether the mains fails according to the status of the charging pile, and when a mains failure is detected, the corresponding backup generator is quickly controlled to work through the 5G network layer to provide emergency power for the charging pile.

[0152] In the embodiment, after receiving the status of the charging pile and the working status of the backup generator, the platform layer can monitor in real time whether the mains power fails. When a mains power failure is detected, the platform layer will immediately control the backup generator to start through the 5G network layer to provide emergency power for the charging pile. In this way, even in the event of a mains power failure, the charging pile can continue to provide charging services for electric vehicles, ensuring the continuity and stability of the charging service.

[0153] In addition, in order to improve the utilization rate of charging piles, the platform layer will also perform intelligent scheduling based on the real-time status of the charging piles and the needs of surrounding electric vehicles. For example, when there are a large number of electric vehicles near a charging pile, the platform layer can prioritize the allocation of charging piles for these electric vehicles to reduce waiting time and improve charging efficiency. At the same time, the platform layer can also dynamically adjust the charging price based on the usage of the charging piles and the charging needs of electric vehicles, guide electric vehicles to charge during off-peak hours, and further optimize the allocation of charging resources.

[0154] During the charging process, the platform layer will also monitor the charging status of the electric vehicle in real time to ensure the safety and stability of the charging process. When the charging status of the electric vehicle is detected to be abnormal, the platform layer will immediately take measures, such as disconnecting the charging connection, to avoid safety accidents. At the same time, the platform layer can also provide users with personalized charging service suggestions based on the charging history and behavior data of the electric vehicle, such as recommending suitable charging time, charging method and charging pile, etc.

[0155] In summary, the charging system provided in the embodiments of this specification can realize the intelligent charging of electric vehicles, improve the utilization rate of charging piles, and ensure the safety and stability of the charging process. At the same time, through the application of 5G Internet of Things technology and sensor technology, the working status of charging piles and backup generators can be monitored in real time, providing users with a high-quality charging service experience.

[0156] In addition, the platform layer can also actively generate an operation and maintenance plan for the charging pile based on the operating status of the charging pile, including inspection, maintenance, and repair, to ensure the normal operation of the charging pile.

[0157] According to an embodiment of the present specification, after charging is completed, the fee is deducted from the frozen amount.

[0158] Furthermore, the method further comprises:

[0159] After charging is completed, calculating actual charging costs according to the actual charging amount of the electric vehicle;

[0160] Deductions from the frozen amount further include:

[0161] Determining whether the actual charging cost exceeds the estimated charging cost;

[0162] If not, deduct the actual charging fee from the frozen amount, and unfreeze the remaining amount;

[0163] If so, the frozen amount will be fully deducted, and the remaining amount of the actual charging fee exceeding the amount will be deducted from the account.

[0164] For example, the operating status of charging piles can be monitored in real time through the platform layer to generate accurate operation and maintenance plans, including inspection, maintenance, and repair, to ensure efficient and stable operation of charging piles. The following are the specific implementation steps of the system:

[0165] 1. Before charging begins, the system will estimate the charging cost at the end of charging based on the battery capacity, charging rate and other information of the electric vehicle. The system will then freeze the estimated charging cost from the user's account to ensure the safety of funds during the charging process.

[0166] 2. After charging is completed, the system will recalculate the charging fee based on the actual charging amount. The purpose of this step is to ensure that users only pay the actual charging fees incurred to avoid overcharge or undercharge.

[0167] 3. The system will compare the actual charging cost with the estimated charging cost to determine whether it exceeds expectations. If the actual charging cost does not exceed the estimated charging cost, the system will deduct the actual charging cost from the frozen amount and unfreeze the remaining frozen amount.

[0168] 4. If the actual charging fee exceeds the estimated charging fee, the system will deduct the entire frozen amount and deduct the excess related fees from the user's account. This ensures that the user pays all the actual charging fees and avoids disputes caused by the discrepancy between the estimated charging fee and the actual charging fee.

[0169] 5. After deducting the charging fee, the system will automatically unfreeze the remaining frozen amount and return the money to the user's account. In this way, the user can use the unfrozen amount immediately after charging is completed, improving the efficiency of fund use.

[0170] 6. For the operation and maintenance plan of the charging pile, the system will regularly generate operation and maintenance work orders based on the operation data and maintenance requirements of the charging pile. The operation and maintenance personnel can perform inspections, maintenance and repairs according to the work orders to ensure the normal operation of the charging pile.

[0171] Through the above implementation plan, the intelligent charging pile operation and maintenance management system can realize real-time monitoring and active operation and maintenance of charging piles, improve the operating efficiency and stability of charging piles. At the same time, the system can also ensure that users pay reasonable charging fees, reduce disputes during the charging process, and improve user experience.

[0172] In the embodiment of this specification, the estimated charging cost is calculated before the electric vehicle is charged based on the target charging amount and the charging information of the charging pile. When the electric vehicle is actually charged, the actual charging amount may be inconsistent with the target charging amount, and the charging information of the charging pile may be adjusted, resulting in the actual charging amount not being consistent with the target charging amount. Therefore, after the charging is completed, the embodiment of this specification calculates the actual charging cost and determines whether the actual charging cost exceeds the estimated charging cost. If it does not exceed (the actual charging cost is less than or equal to the estimated charging cost), the actual charging cost is deducted from the frozen amount, and the remaining amount in the unfreeze amount is unfrozen (if the actual charging cost is equal to the estimated charging cost, the remaining amount is 0). If it exceeds, the frozen amount is deducted in full, and the remaining cost of the actual charging cost exceeding the amount is deducted from the account, thereby realizing automatic deduction when the user is actually charging.

[0173] According to one embodiment of this specification, Figure 3 As shown, determining an idle charging pile matching the electric vehicle charging request from a plurality of idle charging piles according to the electric vehicle position and the charging pile position as a target charging pile further includes:

[0174] Step 301: Calculate the distance between the electric vehicle position and the charging pile position of each idle charging pile;

[0175] Step 302: Determine the target charging pile from a plurality of idle charging piles according to the distance.

[0176] In an embodiment of the present specification, in order to realize the nearby dispatching of charging piles to charge the electric vehicle, the embodiment of the present specification calculates the distance between the position of the electric vehicle and the charging pile positions of each idle charging pile, and then determines the target charging pile from multiple idle charging piles according to the distance.

[0177] For example, assume that an electric car is located in area A of a city, and there are three idle charging piles nearby, which are located in areas B, C, and D. According to step 301, the distance between the electric car and each charging pile is calculated, and the following results are obtained: the distance between the electric car and charging pile B is 500 meters, the distance to charging pile C is 800 meters, and the distance to charging pile D is 1000 meters.

[0178] Next, according to step 302, the nearest charging pile is selected according to the distance. In this example, charging pile B is closest to the electric vehicle, so charging pile B is selected as the target charging pile.

[0179] After determining the target charging pile, the system will estimate the charging cost and freeze the corresponding amount based on the charging pile's billing information and the electric vehicle's charging needs. For example, if the estimated charging volume is 30 kWh and the charging price is 1 yuan per kWh, the system will freeze 30 yuan.

[0180] When the electric car starts charging, the system will monitor the charging progress in real time and calculate the actual charging amount. Assuming the actual charging amount is 28 kWh, the system will calculate the actual charging cost as 28 yuan.

[0181] According to the embodiment of this specification, it is determined whether the actual charging cost exceeds the estimated charging cost. In this example, the actual charging cost of 28 yuan is less than the estimated charging cost of 30 yuan, so the system will deduct the actual charging cost of 28 yuan from the frozen 30 yuan and unfreeze the remaining 2 yuan.

[0182] If the actual charging cost exceeds the estimated charging cost, for example, the actual charging amount is 35 kWh, then the system will deduct the actual charging cost of 35 yuan from the frozen 30 yuan, minus the excess cost, which is 5 yuan. After that, when the electric vehicle is fully charged, the system will update the idle status of the charging pile to available so as to provide charging services for other electric vehicles.

[0183] Through the above embodiments, this specification provides an intelligent charging management system, which can automatically select the nearest charging pile and charge the electric vehicle according to the location and charging needs of the electric vehicle, and automatically deduct the actual charging fee after the charging is completed, and unfreeze the remaining amount. This system not only facilitates the charging operation of the electric vehicle, but also reduces the charging cost of the user and improves the utilization rate of the charging facilities.

[0184] Specifically, Figure 4 As shown, selecting a candidate charging pile that meets the electric vehicle charging request from multiple candidate charging piles as the target charging pile includes:

[0185] Step 401: Select multiple idle charging piles whose distance is lower than a predetermined threshold to obtain multiple charging piles to be selected;

[0186] Step 402: Select a candidate charging pile that meets the electric vehicle charging request from multiple candidate charging piles as the target charging pile.

[0187] For example, in a large commercial center, multiple charging piles are installed to provide charging services for electric vehicles. The charging piles in the commercial center are connected to the dual-line mains power supply in a low-voltage bus-coupled automatic mode and are equipped with a backup generator system. Through 5G Internet of Things technology and sensor technology, the working status of the charging piles and backup generators is monitored in real time to ensure that the charging piles can continue to provide charging services for electric vehicles in the event of a mains power failure.

[0188] On this basis, the platform layer performs intelligent scheduling based on the real-time status of the charging piles and the needs of surrounding electric vehicles. When there are a large number of electric vehicles near a charging pile, the platform layer will prioritize the allocation of charging piles for these electric vehicles to reduce waiting time and improve charging efficiency. At the same time, the platform layer can also dynamically adjust the charging price based on the usage of the charging piles and the charging needs of electric vehicles, guide electric vehicles to charge during off-peak hours, and further optimize the allocation of charging resources.

[0189] During the charging process, the platform layer will monitor the charging status of the electric vehicle in real time to ensure the safety and stability of the charging process. When the charging status of the electric vehicle is detected to be abnormal, the platform layer will immediately take measures, such as disconnecting the charging connection, to avoid safety accidents. At the same time, the platform layer can also provide users with personalized charging service suggestions based on the charging history and behavior data of the electric vehicle, such as recommending suitable charging time, charging method and charging pile, etc.

[0190] In addition, according to the operating status of the charging pile, the platform layer will also actively generate an operation and maintenance plan for the charging pile, including inspection, maintenance, and repair, to ensure the normal operation of the charging pile. After charging is completed, the actual charging fee is calculated based on the actual charging amount of the electric vehicle, and the fee is deducted from the frozen amount. If the actual charging fee exceeds the estimated charging fee, the frozen amount will be deducted in full, and the remaining fee exceeding the actual charging fee will be deducted from the account, realizing automatic deduction when the user is actually charging.

[0191] Through the above implementation plan, the charging system provided in this specification can realize the intelligent charging of electric vehicles, improve the utilization rate of charging piles, and ensure the safety and stability of the charging process. At the same time, using 5G Internet of Things technology and sensor technology, the working status of charging piles and backup generators can be monitored in real time to provide users with a high-quality charging service experience. In large places such as commercial centers, the layout and scheduling strategies of charging piles can be flexibly adjusted according to the characteristics of the place and electricity demand, further optimizing the allocation of charging resources and improving the continuity and stability of charging services.

[0192] In an embodiment of the present invention, a predetermined threshold value of the distance can be set in advance, and after calculating the distance between each idle charging pile and the position of the electric vehicle, multiple idle charging piles with a distance lower than the predetermined threshold value are selected, that is, the candidate charging piles are selected based on the principle of proximity, and then a candidate charging pile that meets the charging request of the electric vehicle is selected from the multiple candidate charging piles as the target charging pile.

[0193] Optionally, the nearest idle charging pile can be selected as the target charging pile.

[0194] In the embodiment of the present specification, the electric vehicle charging request includes a target charging amount, and a candidate charging pile that can meet the target charging amount can be selected from a plurality of candidate charging piles as a target charging pile.

[0195] In addition, the system can also dynamically adjust the selection of the candidate charging piles according to the real-time location information of the electric vehicle. Specifically, the system can obtain the current location of the electric vehicle in real time, and then filter out the nearest idle charging piles again according to the distance between the current location and the candidate charging piles. In this way, it can ensure that the electric vehicle can always find the nearest idle charging pile during driving.

[0196] After determining the target charging pile, the system can further provide charging navigation services. For example, the system can calculate the optimal path from the current position of the electric vehicle to the target charging pile, and provide real-time navigation information to guide the electric vehicle to the target charging pile. In this way, it can not only save the charging time of the electric vehicle, but also improve the utilization rate of the charging pile.

[0197] In order to ensure the safety of the charging process, the system can also monitor the status of the charging pile in real time and take immediate measures when abnormal conditions are found. For example, when the system detects that there is a fault in the charging pile, unstable charging voltage, etc., it can immediately stop the charging process and send a reminder message to the electric vehicle. At the same time, the system can also evaluate the reliability of the charging pile based on the historical usage data of the charging pile and recommend a charging pile with higher reliability for the electric vehicle.

[0198] In some other embodiments of the present invention, in order to further improve the user's experience of charging an electric vehicle, such as Figure 5 As shown, selecting a candidate charging pile that meets the electric vehicle charging request from multiple candidate charging piles as the target charging pile includes:

[0199] Step 501: determining the parking convenience of each candidate charging pile, wherein the parking convenience indicates the convenience of an electric vehicle entering and exiting a parking area corresponding to the candidate charging pile;

[0200] Step 502: Select a charging pile whose parking convenience is consistent with the target charging amount from a plurality of candidate charging piles as the target charging pile.

[0201] In one embodiment of the present invention, the system can pre-set a predetermined threshold of distance. When the user initiates a charging request, the system will first calculate the distance between all idle charging piles and the location of the electric vehicle, and then screen out multiple idle charging piles whose distance is lower than the predetermined threshold. According to the principle of proximity, the system will select a candidate charging pile that meets the user's charging request as the target charging pile. In addition, the system can further optimize the selection based on the parking convenience of the charging pile to improve the user's experience.

[0202] The specific operation process is as follows:

[0203] 1. The system sets a predetermined distance threshold.

[0204] 2. The user initiates a charging request, and the system calculates the distance between each idle charging pile and the electric vehicle location.

[0205] 3. The system selects multiple idle charging piles whose distance is lower than a predetermined threshold.

[0206] 4. Based on the principle of proximity, the system selects a charging pile that meets the user's charging request from multiple charging piles as the target charging pile.

[0207] 5. The system further calculates the parking convenience of the candidate charging piles, and finally determines the target charging pile based on the matching degree between the parking convenience and the target charging amount.

[0208] 6. The system pushes the selected target charging pile information to the user, and the user can charge according to the pushed information.

[0209] The present invention can not only realize the rapid positioning of charging piles, but also provide users with the best charging solutions according to specific scenarios. In practical applications, the algorithm can be optimized and adjusted according to different scenarios and user needs to meet the needs of different users. For example, in a busy urban area, the parking convenience of a charging pile may be more concerned than the distance; while in the suburbs, the distance may be a factor that users care more about. Therefore, adjusting the algorithm parameters according to specific scenarios can further improve user satisfaction.

[0210] In an embodiment of the present invention, the parking convenience of the charging pile can be determined by the staff after analyzing the information such as the location of the charging pile, and the corresponding relationship between each charging pile and the corresponding parking convenience is recorded on the platform layer, so as to determine the parking convenience of the selected charging pile. The parking convenience indicates the convenience of electric vehicles entering and exiting the parking area corresponding to the selected charging pile. For example, in the charging parking lot, the parking convenience of the charging pile near the exit of the charging parking lot is higher, and the electric vehicle can quickly reach the charging pile and connect to the charging pile for charging after entering the charging parking lot.

[0211] In combination with specific scenarios, specific application solutions of the above embodiments are given:

[0212] In a specific application scenario, such as a large commercial complex, multiple charging piles can be deployed to meet the charging needs of many electric vehicles. First, after the charging pile is installed, it is connected to the platform layer to achieve real-time data transmission. After the platform layer receives the status information of the charging pile, it can monitor the operation of the charging pile in real time to ensure the safety and stability of the charging process.

[0213] When an electric vehicle needs to be charged, the sensors in the vehicle will send the vehicle's location information to the platform layer. After receiving the location information, the platform layer can calculate the nearest idle charging pile to the electric vehicle based on the location of the electric vehicle and the location of the charging pile. Then, the platform layer will send the information of this idle charging pile to the vehicle, and the vehicle will go to the designated charging pile for charging based on the received information.

[0214] During the charging process, the platform layer will continuously monitor the operating status of the charging pile and the charging progress of the electric vehicle. When an abnormal charging status is detected, the platform layer will immediately take measures, such as disconnecting the charging connection, to avoid safety accidents. At the same time, the platform layer can also provide users with personalized charging service suggestions based on the charging history and behavior data of the electric vehicle, such as recommending suitable charging time, charging method and charging pile.

[0215] After charging is completed, the platform layer will calculate the actual charging fee based on the actual charging amount of the electric vehicle. Then, the platform layer will determine whether the actual charging fee exceeds the estimated charging fee. If it does not exceed, the actual charging fee will be deducted from the frozen amount and the remaining amount will be unfrozen; if it exceeds, the frozen amount will be deducted in full, and the remaining amount of the actual charging fee exceeding the amount will be deducted from the account.

[0216] In addition, the platform layer can also actively generate an operation and maintenance plan for the charging pile based on the operating status of the charging pile, including inspection, maintenance, and repair, to ensure the normal operation of the charging pile.

[0217] Through the above implementation scheme, the present invention can realize the intelligent charging of electric vehicles, improve the utilization rate of charging piles, and ensure the safety and stability of the charging process. At the same time, through the application of 5G Internet of Things technology and sensor technology, the working status of charging piles and backup generators can be monitored in real time to provide users with high-quality charging service experience. In addition, the present invention can also realize automatic deduction when the user is actually charging, thereby improving the user experience.

[0218] In the existing charging parking lots, electric car owners search and select charging piles by themselves. Most owners prefer to park in the parking area corresponding to the charging pile near the entrance of the charging parking lot. However, because the target charging amount of different electric vehicles may be different, the electric vehicle with a larger target charging amount requires a longer charging time. Therefore, there are electric vehicles with a longer charging time that are parked in the parking area corresponding to the charging pile near the entrance of the charging parking lot for charging, which will cause serious charging inconvenience. Electric vehicles with a smaller target charging amount may need to charge at a charging pile far away from the entrance of the charging parking lot. Since the vehicle speed in the charging parking lot is slower, electric vehicles with a smaller target charging amount will need to drive in the charging parking lot for a long time, causing congestion in the charging parking lot, resulting in the charging piles not being reasonably utilized, affecting the overall charging efficiency of the charging parking lot.

[0219] In view of the above problems, the embodiment of the present invention pre-marks the corresponding parking convenience for each charging pile, and then selects the charging pile whose parking convenience matches the target charging amount from multiple candidate charging piles as the target charging pile. For example, the smaller the target charging amount, the higher the parking convenience is selected, so that the charging pile with high parking convenience is assigned to the electric vehicle with a short charging time for charging, achieving the effect of "quick stop and go", and the charging pile with low parking convenience is assigned to the electric vehicle with a long charging time for charging, thereby alleviating the congestion of the charging parking lot, improving the utilization rate of the charging pile, and thus improving the overall charging efficiency of the charging parking lot.

[0220] Alternatively, if Figure 6 As shown, selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further includes:

[0221] Step 601: input the target charging amount and the parking convenience corresponding to each to-be-selected charging pile into a pre-trained neural network model to obtain the target parking convenience corresponding to the target charging amount;

[0222] The neural network model is obtained by pre-training multiple charging amounts and parking conveniences marked with each charging amount. It can be understood that the neural network model trains the correlation between charging amount and parking convenience. The correlation is then used to determine the parking convenience that matches the target charging amount.

[0223] Step 602: The candidate charging pile corresponding to the target parking convenience is used as the target charging pile.

[0224] In the embodiment, in order to better meet the charging needs of different electric vehicles, the embodiment of the present invention also provides a charging pile selection method, which intelligently allocates a charging pile with appropriate parking convenience to the vehicle according to the charging time and target charging amount of the vehicle. This method not only improves the charging efficiency, but also helps to alleviate the congestion problem of the charging parking lot. The following will describe this charging pile selection method in detail.

[0225] Step 603: The charging piles in the charging parking lot are divided into multiple levels according to the charging time of the vehicle. Vehicles with shorter charging time correspond to higher parking convenience levels, and vehicles with longer charging time correspond to lower parking convenience levels. This ensures that vehicles with different charging times can select appropriate charging piles according to their needs.

[0226] Step 604: Combine the parking convenience of the candidate charging pile with the charging time of the vehicle and assign a comprehensive score to each candidate charging pile. The higher the comprehensive score, the more suitable the charging pile is for the vehicle with the corresponding charging time.

[0227] Step 605: Screen the charging piles to be selected according to the target charging amount of the vehicle. For vehicles with a smaller target charging amount, give priority to the charging piles with higher comprehensive scores; for vehicles with a larger target charging amount, give priority to the charging piles with lower comprehensive scores.

[0228] Step 606: Recommend the screened charging piles to the corresponding vehicles. In this way, the vehicles can select the appropriate charging piles according to their own needs, thereby improving the charging efficiency and alleviating the parking lot congestion problem.

[0229] The charging pile selection method provided in the embodiment of the present invention associates the charging amount with the parking convenience through a pre-trained neural network model, and intelligently allocates suitable charging piles to vehicles with different charging requirements. In addition, the embodiment of the present invention also provides a corresponding system implementation scheme to apply the above method to actual scenarios. By reasonably allocating charging piles, the embodiment of the present invention can improve the overall charging efficiency of the charging parking lot, while reducing congestion problems and improving user experience.

[0230] In the embodiment, the charging pile selection method can be adjusted and optimized according to the actual situation. For example, the parking convenience level of the charging pile can be dynamically adjusted according to the real-time situation in the charging parking lot; and the charging pile that is more in line with the charging habits of the vehicle can be recommended to the vehicle according to the charging history data of the vehicle. In this way, the operating efficiency of the charging parking lot can be further optimized, and better charging services can be provided to users.

[0231] For example, suppose there are four charging piles A, B, C, and D to be selected in a charging parking lot, and their parking conveniences are 80, 70, 60, and 90, respectively. At the same time, the electric vehicles to be charged require charging amounts of 20%, 40%, 60%, and 80%, respectively. According to the method of an embodiment of the present invention, the parking convenience of each charging pile is first marked, and then the matching degree of each charging pile with the target charging amount is calculated through a neural network model.

[0232] Step 601: Input the charging capacity and corresponding parking convenience of each candidate charging pile into the pre-trained neural network model to obtain the target parking convenience corresponding to each candidate charging pile. After calculation, the following results are obtained:

[0233] -Charging station A: Target parking convenience is 75

[0234] -Charging pile B: Target parking convenience is 85

[0235] -Charging pile C: Target parking convenience is 65

[0236] -Charging station D: Target parking convenience is 95

[0237] Step 602: Select a suitable charging pile according to the target parking convenience. For example, for an electric vehicle with a charge capacity of 20%, select charging pile A with a parking convenience of 75 for charging; for an electric vehicle with a charge capacity of 40%, select charging pile B with a parking convenience of 85 for charging.

[0238] Through the above method, charging piles with high parking convenience can be assigned to electric vehicles with short charging time to achieve the effect of "quick stop and quick go"; charging piles with low parking convenience can be assigned to electric vehicles with long charging time to reduce the congestion of charging parking lots. At the same time, using a neural network model to train the correlation between charging amount and parking convenience can help improve the utilization rate of charging piles, thereby improving the overall charging efficiency of charging parking lots.

[0239] The charging allocation method for a charging parking lot provided by an embodiment of the present invention achieves efficient use of charging piles by pre-marking the parking convenience for each charging pile and selecting a suitable charging pile according to the target charging amount, thereby reducing the congestion of the charging parking lot and improving the charging efficiency. In addition, the correlation between the charging amount and the parking convenience is calculated using a neural network model, making the charging pile allocation strategy more intelligent and precise. On this basis, the charging parking lot can be optimized and managed according to actual needs to further improve the charging efficiency and user experience.

[0240] In addition, the relationship between the charging amount and the parking convenience may also be recorded using a database (such as a knowledge graph, etc.), which is not limited in the embodiment of the present invention.

[0241] In the embodiments of this specification, the rated charging powers of different electric vehicles may also be different. In order to dispatch a charging pile suitable for the rated charging power of the electric vehicle, according to one embodiment of the present invention, the electric vehicle charging request also includes the rated charging power of the electric vehicle.

[0242] Optionally, the rated charging power of the electric vehicle can be obtained through the intelligent control platform on the electric vehicle, and then the electric vehicle charging request including the rated charging power is sent to the platform layer through the 5G network layer.

[0243] Selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further includes:

[0244] A charging pile whose charging power matches the rated charging power of the electric vehicle is selected from a plurality of candidate charging piles as the target charging pile.

[0245] In the embodiments of this specification, when there are many electric vehicles being charged, there may be no available idle charging piles near the electric vehicles. In view of this situation, according to an embodiment of the present invention, Figure 7 As shown, the method also includes:

[0246] Step 701: Obtaining the remaining cruising range of the electric vehicle through the 5G network layer;

[0247] Step 702: Obtaining the charging pile positions and current charging progress of multiple charging piles in a charging state through the 5G network layer;

[0248] Step 703: determining a queued charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile;

[0249] Step 704: Generate guidance information of the queuing charging pile, and send the guidance information of the queuing charging pile to the electric vehicle through the 5G network layer, where the guidance information of the queuing charging pile is used to guide the electric vehicle to reach the queuing charging pile;

[0250] Step 705: The charging information is sent to the queuing charging pile through the 5G network layer. The charging information is also used to control the queuing charging pile to charge the connected electric vehicle matching the identity information of the electric vehicle according to the target charging amount after the current charging is completed.

[0251] Assume that in a large commercial center, there are multiple electric vehicles that need to be charged at the same time. Due to the limited number of charging piles, there are no available idle charging piles near some vehicles. To solve this problem, the following steps can be taken:

[0252] Step 701: Obtain the remaining range of the electric vehicle through the 5G network layer. For example, the remaining range of vehicle A is 30 kilometers, and the remaining range of vehicle B is 50 kilometers.

[0253] Step 702: Obtain the charging pile locations and current charging progress of multiple charging piles in the charging state through the 5G network layer. For example, the location of charging pile 1 is parking lot A in the commercial center, and the charging progress is 50%; the location of charging pile 2 is parking lot B in the commercial center, and the charging progress is 20%.

[0254] Step 703: Determine the queued charging piles from the multiple charging piles in the charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile. In this example, vehicle A has a shorter cruising range, so it is preferentially assigned to charging pile 2 which is closer and has a lower charging progress.

[0255] Step 704: Generate guidance information for the charging piles in the queue, and send the information to the electric vehicle through the 5G network layer. For example, send the following information to vehicle A: "Your vehicle has been assigned to charging pile 2 in parking lot B. Please go to the designated location to charge."

[0256] Step 705: Send charging information to the queued charging piles through the 5G network layer. In this example, the following information is sent to charging pile 2: "An electric vehicle (vehicle A) is expected to arrive soon. Please be prepared and charge the connected vehicle according to the target charging amount (e.g., 80%) after charging is completed."

[0257] Through the above steps, when charging pile resources are limited, charging resources can be effectively allocated, charging efficiency can be improved, and the charging needs of electric vehicles can be met. In addition, this method can also dynamically adjust the charging strategy according to actual conditions to ensure the efficient use of charging facilities. For example, when there are many idle charging piles, the charging progress of the charging piles can be appropriately increased to shorten the charging waiting time.

[0258] In summary, the present invention provides an electric vehicle charging guidance method based on 5G network, which can provide efficient and convenient charging services for electric vehicles when charging pile resources are limited. By obtaining information such as the remaining range of the vehicle, the location of the charging pile and the charging progress in real time, the optimal charging pile is allocated to the vehicle, and guidance information is sent, which helps to improve the utilization rate of charging facilities and meet the growing demand for charging of electric vehicles.

[0259] In an embodiment of the present invention, when there are no idle charging piles near the electric vehicle, the embodiment of the present invention adopts a method of queuing and waiting for charging, so as to meet the charging needs of the electric vehicle. However, the charging progress of each charging pile being charged may also be different. If a charging pile is randomly assigned to the electric vehicle to queue and wait for charging, this may cause the electric vehicle to wait for a long time, affecting the charging experience of the electric vehicle owner. Therefore, the embodiment of the present invention determines the queuing charging pile from multiple charging piles in a charging state according to the remaining range of the electric vehicle, the distance between the electric vehicle and the charging pile, and the charging progress of the charging pile, and then generates guidance information of the queuing charging pile, and sends the guidance information of the queuing charging pile to the electric vehicle through the 5G network layer. The guidance information of the queuing charging pile is used to guide the electric vehicle to reach the charging pile;

[0260] Then the charging information of the electric vehicle is sent to the queuing charging pile, so that the queuing charging pile can charge the electric vehicle matching the electric vehicle identity information in the charging information after the current charging is completed.

[0261] The current charging progress may include the charging efficiency of the charging pile, the remaining charging time, etc.

[0262] Specifically, Figure 8 As shown, determining a queuing charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile further includes:

[0263] Step 801: Selecting a charging pile from a plurality of charging piles whose distance between the charging pile and the electric vehicle is less than the remaining cruising range, and calculating the driving time of the selected charging pile for the distance between the charging pile and the electric vehicle;

[0264] Step 802: Determine, from the selected charging piles, a charging pile whose time difference between the driving time and the remaining charging time is less than a predetermined threshold value as a queuing charging pile.

[0265] In an embodiment of the present invention, a charging pile whose distance to the electric vehicle is less than the remaining charging mileage is first selected from a plurality of charging piles, thereby ensuring that the electric vehicle can reach the charging pile within the current remaining cruising range. Then, the driving time of the distance between the charging pile position of the selected charging pile and the position of the electric vehicle is calculated. Then, a charging pile whose difference between the driving time and the remaining charging time is less than a predetermined threshold value is selected as a queuing charging pile, thereby shortening the queuing time of the electric vehicle as much as possible and improving the charging experience when the electric vehicle can reach the charging pile within the current remaining cruising range.

[0266] Assume that the remaining cruising range of an electric vehicle is 50 kilometers, the current battery power is 20%, and the estimated remaining charging time is 30 minutes. In this case, according to the method of the embodiment of the present invention, the following operations can be performed:

[0267] 1. Step 801: Select a charging pile whose distance from the electric vehicle to the charging pile is less than 50 kilometers from multiple charging piles. Suppose charging pile A, which is 30 kilometers away from the electric vehicle, and charging pile B, which is 40 kilometers away from the electric vehicle, are selected. Then calculate the driving time between the selected charging piles A and B and the electric vehicle.

[0268] 2. Step 802: The driving time of charging pile A is 20 minutes, and the driving time of charging pile B is 30 minutes. Since the difference between the driving time of charging pile A and the remaining charging time (30 minutes) is less than a predetermined threshold value (e.g., 5 minutes), charging pile A is considered as a queued charging pile.

[0269] 3. Generate guidance information for the charging piles in the queue and send it to the electric vehicle through the 5G network layer. The electric vehicle goes to charging pile A for charging according to the guidance information.

[0270] 4. Send the charging information of the electric vehicle to charging pile A, so that after the current charging is completed, charging pile A can charge the electric vehicle that matches the electric vehicle identity information in the charging information.

[0271] Through the above steps, the embodiment of the present invention can shorten the queuing time as much as possible and improve the charging experience when the remaining cruising range of the electric vehicle is sufficient to reach the charging pile. At the same time, after completing the current charging task, the charging pile A can provide charging services for the next electric vehicle according to the charging information of the electric vehicle, thereby improving the utilization rate of the charging pile.

[0272] In addition, the embodiments of the present invention can further adjust the predetermined threshold value according to actual conditions to achieve a better charging experience and charging pile utilization. For example, when charging pile resources are tight, the predetermined threshold value can be appropriately shortened so that more electric vehicles can participate in the queuing charging process; and when charging pile resources are sufficient, the predetermined threshold value can be appropriately relaxed to reduce the charging waiting time of electric vehicles. In this way, the charging needs of electric vehicles can be met and the efficient use of charging pile resources can be achieved.

[0273] According to one embodiment of the present invention, controlling the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount further includes:

[0274] The target charging pile is controlled to refuse to charge electric vehicles other than those with the electric vehicle identity information before being connected to the electric vehicle with matching electric vehicle identity information.

[0275] It can be understood that after receiving the charging information, the idle charging pile will no longer charge other electric vehicles, but will only wait for the electric vehicle corresponding to the electric vehicle identity information in the charging information to connect, and then charge the electric vehicle, thereby avoiding the charging pile being used by other electric vehicles before the electric vehicle reaches the charging pile.

[0276] In addition, the time it takes for the electric vehicle to arrive at the target charging pile can also be calculated based on the location of the electric vehicle and the location of the target charging pile, and the time can be added to the charging information. The charging pile can be controlled to calculate the estimated arrival time of the electric vehicle at the charging pile based on the time and the scheduled waiting time. If the electric vehicle corresponding to the electric vehicle identity information is not connected to the charging pile before the scheduled arrival time, the charging pile will delete the charging information and set its own status to an idle charging pile, so that the platform layer can dispatch the charging pile to other electric vehicles that need charging.

[0277] It should be noted that the scheduled waiting time can also be a time range, which can be calculated based on the distance and congestion between the electric vehicle and the target charging pile, thereby improving a certain degree of tolerance and avoiding the problem that the electric vehicle fails to arrive before the expected arrival time due to objective factors such as traffic jams, resulting in the electric vehicle being unable to access the charging pile for charging.

[0278] According to one embodiment of the present invention, Fig. 9 As shown, the method also includes:

[0279] Step 901: Analyze multiple electric vehicle charging requests of the same electric vehicle to obtain the charging habits of the electric vehicle;

[0280] Step 902: determining the target charging pile according to the charging habit of the electric vehicle and the charging pile information of the idle charging pile acquired in real time, and generating charging guidance information for the electric vehicle, wherein the charging guidance information includes guidance information corresponding to the target charging pile and charging information of the electric vehicle;

[0281] Step 903: providing the charging guidance information to the electric vehicle;

[0282] Step 904: after receiving the confirmation message of the charging guidance information, the charging information of the electric vehicle is sent to the target charging pile.

[0283] In an embodiment of the present invention, multiple electric vehicle charging requests of the same electric vehicle are analyzed to obtain the charging habits of the electric vehicle, which may include the location of the electric vehicle at each charging, the remaining cruising range, the target charging amount, etc., and then the target charging pile is determined according to the charging habits and the charging pile information of the idle charging piles obtained in real time, and the charging guidance information of the target charging pile is generated, such as guidance information and charging information, and the charging guidance information is sent to the electric vehicle and provided to the electric vehicle owner, so that the electric vehicle owner can determine whether it is necessary to charge according to the charging guidance information. After receiving the confirmation message of the charging guidance information (the confirmation message can be sent after the owner determines to charge according to the charging guidance information), the charging information of the electric vehicle is sent to the target charging pile, so as to control the charging pile to wait for the electric vehicle to arrive and access, and charge the electric vehicle according to the target charging amount, which can further improve the charging experience.

[0284] Assume that there are two charging posts A and B in a large shopping mall, and two electric vehicles X and Y respectively send charging requests. Step 901 analyzes the charging requests of the two electric vehicles to obtain the charging habits of vehicle X. The charging habits include the location of vehicle X at each charging, the remaining range, the target charging amount, etc.

[0285] Next, according to the charging habits of vehicle X and the information of the idle charging piles obtained in real time, step 902 determines that the target charging pile of vehicle X is charging pile A, and generates charging guidance information. The charging guidance information includes the guidance information of the target charging pile A (such as the location of the charging pile, the charging power, etc.) and the charging information of vehicle X (such as the charging amount, the estimated charging time, etc.).

[0286] Step 903 provides the charging guidance information to vehicle X. After receiving the charging guidance information, the owner of vehicle X can decide whether to charge according to the charging guidance information according to his own needs.

[0287] When the owner confirms to charge according to the charging guidance information, step 904 sends the charging information of vehicle X to charging pile A. After receiving the charging information, charging pile A can prepare in advance, wait for vehicle X to arrive and connect, and charge according to the target charging amount.

[0288] At the same time, for another electric vehicle Y, the same method can be used to determine that its target charging pile is charging pile B, and generate charging guidance information. In this way, at the same time, the two electric vehicles X and Y can receive targeted charging guidance information based on their respective charging habits and real-time charging pile information, thereby improving the charging experience.

[0289] The method of the present invention can be applied not only to the scenario of a single charging pile, but also to the scenario of multiple charging piles. In this case, the generation and transmission of charging guidance information can be performed for each charging pile, thereby realizing efficient charging of multiple electric vehicles at the same charging station.

[0290] In addition, the method of the present invention can also be combined with other charging optimization strategies, such as scheduled charging, dynamic adjustment of charging power, etc. Through these optimization strategies, the method of the present invention can further improve the charging experience of electric vehicles, reduce charging waiting time, and improve the utilization rate of charging facilities.

[0291] Based on the same inventive concept, the embodiment of the present invention also provides an electric vehicle charging fee deduction device based on 5G Internet of Things, such as Fig.10 As shown, including:

[0292] The electric vehicle charging request receiving unit 1001 is used to receive an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle;

[0293] A charging pile information acquisition unit 1002 is used to acquire charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes a charging pile location;

[0294] A target charging pile determining unit 1003 is used to determine an idle charging pile that matches the electric vehicle charging request from multiple idle charging piles according to the target charging amount, the electric vehicle position and the charging pile position, as a target charging pile;

[0295] An estimated charging fee freezing unit 1004 is used to calculate the estimated charging fee according to the target charging amount and the charging information of the target charging pile, and freeze the amount corresponding to the estimated charging fee in the account of the electric vehicle;

[0296] A guidance information generating unit 1005 is used to generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile;

[0297] A charging control unit 1006 is used to generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount;

[0298] The deduction unit 1007 is used to deduct fees from the frozen amount.

[0299] The beneficial effects obtained by the above-mentioned device are consistent with the beneficial effects obtained by the above-mentioned method, and are not described in detail in the embodiments of the present invention.

[0300] like Fig.11 The structure diagram of the computer device of the embodiment of the present invention is shown. The apparatus in the present invention can be the computer device in the embodiment, and executes the method of the present invention described above. The computer device 1102 may include one or more processing devices 1104, such as one or more central processing units (CPUs), and each processing unit may implement one or more hardware threads. The computer device 1102 may also include any storage resource 1106, which is used to store any kind of information such as code, settings, data, etc. Non-limitingly, for example, the storage resource 1106 may include any one or more combinations of the following: any type of RAM, any type of ROM, flash memory device, hard disk, optical disk, etc. More generally, any storage resource can use any technology to store information. Further, any storage resource can provide volatile or non-volatile retention of information. Further, any storage resource can represent a fixed or removable component of the computer device 1102. In one case, when the processing device 1104 executes an associated instruction stored in any storage resource or a combination of storage resources, the computer device 1102 can perform any operation of the associated instruction. The computer device 1102 also includes one or more drive mechanisms 1108 for interacting with any storage resources, such as a hard disk drive mechanism, an optical disk drive mechanism, and the like.

[0301] The computer device 1102 may also include an input / output module 1110 (I / O) for receiving various inputs (via input devices 1112) and for providing various outputs (via output devices 1114). A specific output mechanism may include a presentation device 1116 and an associated graphical user interface (GUI) 1118. In other embodiments, the input / output module 1110 (I / O), input device 1112, and output device 1114 may not be included, and the computer device 1102 may be used as a computer device in a network. The computer device 1102 may also include one or more network interfaces 1120 for exchanging data with other devices via one or more communication links 1122. One or more communication buses 1124 couple the components described above together.

[0302] The communication link 1122 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication link 1122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc. governed by any protocol or combination of protocols.

[0303] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above method when executed by a processor.

[0304] An embodiment of the present invention further provides a computer-readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to execute the above method.

[0305] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0306] It should also be understood that in the embodiments of the present invention, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects before and after are in an "or" relationship.

[0307] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0308] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0309] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0310] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0311] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0312] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or 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.

[0313] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of the present invention should not be understood as a limitation on the present invention.

Claims

1. A charging fee deduction method for electric vehicles based on 5G Internet of Things, characterized in that: include: receiving an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle; Acquire charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes the locations of the charging piles; Determine, according to the target charging amount, the electric vehicle position and the charging pile position, an idle charging pile that matches the electric vehicle charging request from a plurality of idle charging piles as a target charging pile; Calculating an estimated charging fee according to the target charging amount and the charging information of the target charging pile, and freezing the amount corresponding to the estimated charging fee in the account of the electric vehicle; Generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile; Generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount; After charging is completed, the frozen amount is deducted.

2. The method according to claim 1, characterized in that The method further comprises: After charging is completed, calculating actual charging costs according to the actual charging amount of the electric vehicle; Deductions from the frozen amount further include: Determining whether the actual charging cost exceeds the estimated charging cost; If not, deduct the actual charging fee from the frozen amount, and unfreeze the remaining amount; If so, the frozen amount will be fully deducted, and the remaining amount of the actual charging fee exceeding the amount will be deducted from the account.

3. The method according to claim 1, characterized in that Determining an idle charging pile that matches the electric vehicle charging request from a plurality of idle charging piles according to the target charging amount, the electric vehicle position and the charging pile position as a target charging pile further includes: Calculating the distance between the position of the electric vehicle and the charging pile position of each idle charging pile; Selecting a plurality of idle charging piles whose distances are lower than a predetermined threshold to obtain a plurality of charging piles to be selected; A charging pile that matches the target charging amount is selected from a plurality of charging piles to be selected as the target charging pile.

4. The method according to claim 3, characterized in that Selecting a charging pile that matches the target charging amount from a plurality of charging piles to be selected as the target charging pile includes: Determine the parking convenience of each candidate charging pile, wherein the parking convenience indicates the convenience of electric vehicles entering and exiting the parking area corresponding to the candidate charging pile; A charging pile for selection whose parking convenience is consistent with the target charging amount is selected from a plurality of charging piles for selection as the target charging pile.

5. The method according to claim 4, characterized in that Selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further comprises: Inputting the target charging amount and the parking convenience corresponding to each to-be-selected charging pile into a pre-trained neural network model to obtain the target parking convenience corresponding to the target charging amount, wherein the neural network model is pre-trained for multiple charging amounts and the parking conveniences marked with each charging amount; The candidate charging pile corresponding to the target parking convenience is used as the target charging pile.

6. The method according to claim 4, characterized in that The electric vehicle charging request also includes the electric vehicle rated charging power; Selecting a charging pile for selection whose parking convenience is consistent with the target charging amount from a plurality of charging piles for selection as the target charging pile further includes: A charging pile whose parking convenience is consistent with the target charging amount and whose charging power is consistent with the rated charging power of the electric vehicle is selected from a plurality of candidate charging piles as the target charging pile.

7. The method according to claim 3, characterized in that In the case where the target charging pile is not determined from a plurality of idle charging piles according to the distance, the method further includes: Obtaining the remaining cruising range of the electric vehicle through the 5G network layer; Obtaining the charging pile positions and current charging progress of multiple charging piles in a charging state through the 5G network layer; Determine a queue charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile; Generate guidance information of the queuing charging pile, and send the guidance information of the queuing charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the queuing charging pile is used to guide the electric vehicle to arrive at the queuing charging pile; The charging information is sent to the queuing charging pile through the 5G network layer. The charging information is also used to control the queuing charging pile to charge the connected electric vehicle matching the identity information of the electric vehicle according to the target charging amount after the current charging is completed.

8. The method according to claim 7, characterized in that The current charging progress includes the remaining charging time; Determining a queued charging pile from a plurality of charging piles in a charging state according to the remaining cruising range, the distance between the electric vehicle and the charging pile, and the current charging progress of the charging pile further includes: Selecting a charging pile from a plurality of charging piles whose distance between the charging pile position and the electric vehicle position is less than the remaining cruising range, and calculating the driving time of the selected charging pile for the distance between the charging pile position and the electric vehicle position; From the selected charging piles, a charging pile whose time difference between the driving time and the remaining charging time is less than a predetermined threshold value is determined as a queuing charging pile.

9. The method according to claim 1, characterized in that: Controlling the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount further includes: The target charging pile is controlled to refuse to charge electric vehicles other than those with the electric vehicle identity information before being connected to the electric vehicle with matching electric vehicle identity information.

10. The method according to claim 1, characterized in that The method further comprises: Analyzing multiple electric vehicle charging requests of the same electric vehicle to obtain the charging habits of the electric vehicle; Determine the target charging pile according to the charging habit of the electric vehicle and the charging pile information of the idle charging pile acquired in real time, and generate charging guidance information for the electric vehicle, wherein the charging guidance information includes guidance information corresponding to the target charging pile and charging information of the electric vehicle; Providing the charging guidance information to the electric vehicle; After receiving a confirmation message of the charging guidance information, the charging information of the electric vehicle is sent to the target charging pile.

11. An electric vehicle charging fee deduction device based on 5G Internet of Things, characterized by: The device comprises: An electric vehicle charging request receiving unit, configured to receive an electric vehicle charging request through a 5G network layer, wherein the electric vehicle charging request includes a target charging amount, a location of the electric vehicle, and an identity information of the electric vehicle; A charging pile information acquisition unit, used to acquire charging pile information of a plurality of idle charging piles through the 5G network layer, wherein the charging pile information includes a charging pile location; a target charging pile determining unit, configured to determine an idle charging pile that matches the electric vehicle charging request from a plurality of idle charging piles according to the target charging amount, the electric vehicle position and the charging pile position, as the target charging pile; An estimated charging fee freezing unit, used to calculate the estimated charging fee according to the target charging amount and the billing information of the target charging pile, and freeze the amount corresponding to the estimated charging fee in the account of the electric vehicle; A guidance information generating unit, configured to generate guidance information of the target charging pile, and send the guidance information of the target charging pile to the electric vehicle through the 5G network layer, wherein the guidance information of the target charging pile is used to guide the electric vehicle to reach and access the target charging pile; A charging control unit, configured to generate charging information according to the electric vehicle identity information and the target charging amount, and send the charging information to the target charging pile through the 5G network layer, wherein the charging information is used to control the target charging pile to charge the connected electric vehicle matching the electric vehicle identity information according to the target charging amount; The deduction unit is used to deduct fees from the frozen amount.

12. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 10 is implemented.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

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