Charging station resource automatic optimization and deployment system

Abstract

The application relates to the technical field of charging stations, in particular to a charging station resource deployment system which comprises a server system; the server system is in communication connection with the charging control systems of at least two charging stations; further comprising a mobile terminal APP, the mobile terminal APP is in communication with the server system; the server system comprehensively compares the charging price information, the empty charging pile information, the empty charging pile proportion information, the distance information and the time information of several charging stations nearby; and takes the remaining electric quantity mileage as a weight adjustment item; after the weight analysis of the server system, the server system selects the charging station with the optimal value and pushes the charging station to the mobile terminal APP; when the server system selects the charging stations nearby, the charging stations with the distance greater than the remaining mileage value are automatically shielded; the user can conveniently and quickly select the optimal charging station, and the charging stations with the distance greater than the remaining mileage value are shielded.

Description

Technical Field

[0001] This application relates to the field of charging station technology, and in particular to a charging station resource allocation system. Background Technology

[0002] With the popularization and promotion of new energy vehicles, the construction of charging station infrastructure will become an important development direction, and enabling users to conveniently and quickly enjoy charging station resource services is an important research direction.

[0003] Because the charging time for new energy vehicles is longer than the refueling time for gasoline vehicles, more and wider charging stations need to be built to facilitate user access. Multiple factors need to be considered when selecting charging stations. To enable users to conveniently and quickly select charging stations, an automatic optimization and allocation system is needed to allocate charging station information to users for selection. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of the embodiments of the present invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this section, the abstract and title of the invention. Such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the problems existing in the prior art, the present invention is proposed.

[0006] An automatic optimization and allocation system for charging station resources, comprising a charging station and a charging control system for managing charging operations, characterized in that:

[0007] It also includes server systems;

[0008] The server system communicates with the charging control systems of at least two charging stations;

[0009] It also includes a mobile terminal APP, which communicates with the server system, and the mobile terminal APP also contains user account information;

[0010] The charging control systems of at least two charging stations transmit charging price information, available charging pile information, and available charging pile ratio information to the server system in real time.

[0011] The server system stores geographical distribution information of charging stations;

[0012] The server system obtains user location information through a mobile terminal APP;

[0013] The server system uses user location information and charging station geographical distribution information to calculate and obtain distance and travel time information for several nearby charging stations;

[0014] The mobile app has an interface that allows users to input the remaining battery range.

[0015] The server system will comprehensively compare the charging price information, available charging pile information, available charging pile ratio information, distance information, and travel time information of several nearby charging stations.

[0016] The remaining battery range will be used as a weighting factor for adjustment.

[0017] In the charging price information, the parameter for the difference in charging prices between the two charging stations is set to 'a', and the weight is set to 'a1'.

[0018] In the information on available charging piles, the parameter for the difference in available charging piles between two charging stations is set to b, and the weight is set to b1.

[0019] In the information on the proportion of available charging piles, the parameter for the proportion of available charging piles for the two charging stations is set to c, and the weight is set to c1.

[0020] In the distance information, the difference parameter between the distance information of the two charging stations is set as d, and the weight is set as d1;

[0021] In the travel time information, the difference parameter between the travel time information of the two charging stations is set to e, and the weight is set to e1;

[0022] The remaining mileage value in the remaining battery range is used as the parameter to adjust the weight d1 in the distance information; the smaller the remaining mileage value, the larger the weight d1 is adjusted.

[0023] After performing weight analysis, the server system selects at least one charging station with the best value and pushes it to the mobile terminal APP.

[0024] The mobile app is linked to the navigation system, which automatically navigates to the charging station with the optimal values.

[0025] Furthermore, when selecting nearby charging stations, the server system automatically filters out charging stations whose distance to the station exceeds the remaining mileage.

[0026] The above design first establishes a communication connection between the charging station's charging control system and the server system, and then establishes a communication connection between the mobile terminal APP and the server system. Based on charging price information, available charging pile information, available charging pile ratio information, distance information, and travel time information, the server system plans the optimal charging station information suitable for the current mobile terminal APP. Users can obtain the best charging station information, improving user comfort. Second, the mobile terminal APP is linked to a navigation system, and the charging stations pushed by the server system can automatically set navigation, improving user convenience. Finally, users can... By adjusting the weight d1 in the distance information based on the remaining battery range, the system can plan the charging stations that the user can currently reach, allowing the user to exclude charging stations that they cannot reach, thus increasing the usability of the server system. Various information difference parameters are classified as positive or negative based on their original values. When two charging stations have the same weights and the same proportion of available charging piles, the more charging piles a charging station has, the more available charging piles it will have. Based on the weight analysis, the charging station with more available charging piles can be selected. That is, when the proportion of available charging piles is the same, the charging station with more charging piles is selected first, so that customers can choose the charging station with better service.

[0027] If all other weights of the two charging stations are the same and the proportion of available charging piles is also the same, the more charging piles a charging station has, the more available charging piles it has. Based on the weight analysis, the charging station with more available charging piles can be selected, that is, the charging station with the same proportion of available charging piles should be given priority.

[0028] The higher the proportion of available charging stations, i.e., the larger c is, the larger the total score g is, and the better the selection.

[0029] The inventors discovered that the queuing speed for charging stations is not simply determined by the number of available charging stations. For example, a charging station may have only 5 charging stations, all of which are available; another charging station may have 100 charging stations, with 10 available. It is not that the charging station with 10 available charging stations is easier to queue for, but rather that the charging station with only 5 charging stations is more convenient.

[0030] This design, through the inventor's creative thinking, provides users with easier access to charging stations, saving time and offering convenience.

[0031] However, during actual investigations, the inventors discovered that determining the optimal charging station is not simply based on the proportion of available charging piles (c). The inventors creatively discovered that the difference (b) in the number of available charging piles is also a factor affecting charging convenience. Therefore, they added the difference (b) as a reference value and established a mathematical model framework, forming a composite calculation system. This design, through the inventors' innovative thinking, provides users with easier access to charging piles, saving time and offering greater convenience.

[0032] Preferably, when the mobile terminal APP is associated with the navigation system and the user sets the navigation route, the server system calculates the distance and time to reach different charging stations by taking detours along the navigation route, which are respectively used as the distance information and the time information, referred to as the detour distance information and the detour time information. The charging station weight analysis is performed on the user's planned route to avoid the user taking detours to charge, save the user's travel time and energy, and make it easier for the user to find charging stations.

[0033] Ideally, after performing weight analysis, the server system selects at least two charging stations with the best values ​​and pushes them to the mobile terminal APP for the customer to choose from. After the customer makes a selection, the system automatically enters the navigation system for navigation. The system keeps at least two of the best charging stations and pushes them to the mobile terminal APP to facilitate users in planning routes and choosing familiar charging stations.

[0034] Preferably, the server system stores information on the number of charging piles at charging stations; this information serves as a parameter for adjusting the weight c1 of the proportion of vacant charging piles; the larger the number of charging piles, the greater the weight c1; by adjusting the weight c1 based on the number of charging piles, when other weights are the same for two charging stations and the number of vacant charging piles is also the same, the fewer the number of charging piles at a charging station, the greater the weight c1 of the proportion of vacant charging piles; that is, when the number of vacant charging piles is the same, the charging station with fewer charging piles is selected.

[0035] Preferably, the charging station is also equipped with an automatic vehicle identification and billing system. This system includes a charging gun connected to a charging control system, which has a billing information input terminal. It also includes an RFID card scanning system and at least one RFID card. The signal output terminal of the RFID card scanning system is connected to the billing information input terminal. The RFID card scanning system includes an RFID card scanning antenna, which is located at the charging port of the charging gun. The RFID card is a type of RFID card that is attached to the car's charging port. By using the RFID card scanning antenna and the RFID card on the charging gun, the system can automatically identify the RFID card during charging and automatically deduct the account balance associated with the RFID card from the billing system. This achieves automatic vehicle identification and billing at the charging station. The RFID card is attached to the car's charging port and can be automatically swiped during charging, requiring no manual operation. The automatic identification and use are simple and quick.

[0036] Preferably, an encapsulation film is provided on the back of the RFID card, covering the RFID chip and antenna, and adhering to at least one of the RFID chip and antenna; the encapsulation film has a breakable outline around the RFID chip, which is a linear structure with mechanical strength lower than the surrounding film; at least a portion of the line is located outside the breakable outline; after the encapsulation film on the back of the RFID card is pasted on the vehicle, and then peeled off, the combined structure of the RFID chip and antenna will be destroyed, preventing the RFID card from being used in different vehicles, achieving strict vehicle-card correspondence, ensuring the accuracy of vehicle identification, and preventing the theft of recharge fees.

[0037] Preferably, the charging gun has a plastic enclosure at the charging interface, and the RFID card scanning antenna is embedded in the plastic enclosure; by setting the plastic enclosure, the RFID card can be protected from being scratched by the charging gun being plugged and unplugged, and the RFID card can also be prevented from being stolen.

[0038] Preferably, the RFID card is attached to the car charging port, and its position corresponds to the position of the RFID card scanning antenna inside the charging gun after the charging gun is inserted into the car charging port. The charging port of the charging gun has a charging part that is inserted into the car charging port and an exposed external part. By attaching the RFID card to the charging port and positioning it to correspond with the RFID scanning antenna of the charging gun, it is convenient for the scanning antenna to scan the RFID card. The RFID card scanning antenna is set in the external part of the charging gun, so that the charging gun automatically scans the RFID card during charging. This allows the RFID card scanning system to complete the scan without additional action, making the operation more convenient.

[0039] Preferably, the car charging port has a charging port cover and a charging port; the RFID card is attached to the car charging port, on the outer edge of the charging port covered by the charging port cover; by attaching the RFID card to the car charging port, it can be covered by the car charging port cover, protecting the RFID card and extending its service life. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0041] Figure 1 Information input / output relationship diagram of the server system in the automatic optimization and allocation system for charging station resources provided by an embodiment of the present invention.

[0042] Figure 2 This is a schematic diagram of the charging gun charging structure in an automatic optimization and allocation system for charging station resources according to an embodiment of the present invention;

[0043] Figure 3This is a schematic diagram of the charging gun structure in an automatic optimization and allocation system for charging station resources according to an embodiment of the present invention;

[0044] Figure 4 This is a schematic diagram of the structure of an RFID card in an automatic optimization and allocation system for charging station resources, as provided in one embodiment of the present invention. Detailed Implementation

[0045] To make the above-mentioned objects, features and advantages of the present invention more readily understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0046] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0047] Secondly, the present invention will be described in detail with reference to the schematic diagrams. When detailing the embodiments of the present invention, for ease of explanation, the cross-sectional views illustrating the device structure will be partially enlarged, not according to the usual scale. Furthermore, the schematic diagrams are merely examples and should not limit the scope of protection of the present invention. In addition, actual fabrication should include three-dimensional spatial dimensions of length, width, and depth.

[0048] Furthermore, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in an embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0049] Example 1

[0050] Reference Figure 1 This embodiment provides an automatic optimization and allocation system for charging station resources. The automatic optimization and allocation system for charging station resources includes a charging gun, which is connected to a charging control system. The charging control system has a billing information input terminal.

[0051] An automatic optimization and allocation system for charging station resources, comprising a charging station and a charging control system for managing charging operations, characterized in that:

[0052] It also includes a server system; the server system communicates with the charging control systems of at least two charging stations; it also includes a mobile terminal APP, which communicates with the server system and contains user account information; the charging control systems of at least two charging stations transmit charging price information, available charging pile information, and available charging pile ratio information to the server system in real time; the server system stores the geographical distribution information of charging stations; the server system obtains user location information through the mobile terminal APP; the server system uses the user location information and the geographical distribution information of charging stations to calculate and obtain the distance and travel time information of several nearby charging stations; the mobile terminal APP has an interface that allows users to input the remaining battery range; the server system comprehensively compares the charging price information, available charging pile information, available charging pile ratio information, distance information, and travel time information of several nearby charging stations; and uses the remaining battery range as a weighting adjustment item; in the charging price information, the distance and travel time of two charging stations are compared. The charging price difference parameter is set as 'a', and its weight is set as 'a1'. The difference in available charging piles between two charging stations in the available charging pile information is set as 'b', and its weight is set as 'b1'. The ratio of available charging piles between two charging stations in the available charging pile ratio information is set as 'c', and its weight is set as 'c1'. The difference in distance information between two charging stations in the distance information is set as 'd', and its weight is set as 'd1'. The difference in travel time information between two charging stations in the travel time information is set as 'e', ​​and its weight is set as 'e1'. The remaining mileage value in the remaining battery range is used as the parameter to adjust the weight 'd1' in the distance information; the smaller the remaining mileage value, the larger the weight 'd1'. After weight analysis, the server system selects at least one charging station with the best value and pushes it to the mobile terminal APP. The mobile terminal APP is linked to the navigation system, and the navigation system is automatically set to navigate to the charging station with the best value. When selecting nearby charging stations, the server system automatically blocks charging stations with a distance greater than the remaining mileage value.

[0053] The charging station's charging control system establishes a communication connection with the server system, and then the mobile terminal APP establishes a communication connection with the server system. Based on charging price information, available charging pile information, available charging pile ratio information, distance information, and travel time information, the server system plans the optimal charging station information suitable for the current mobile terminal APP. Users can obtain the best charging station information, improving user comfort. Secondly, the mobile terminal APP is linked to the navigation system, and the charging stations pushed by the server system can automatically set navigation, improving user convenience. Finally, users can adjust the weight d1 in the distance information based on the remaining battery range, which can plan the charging stations that the user can currently reach, allowing the user to eliminate charging stations that the user cannot reach, increasing the practicality of the server system for the user.

[0054] When all other weights are the same for two charging stations and the proportion of available charging piles is also the same, the more charging piles a charging station has, the more available charging piles it has. Based on the weight analysis, the charging station with more available charging piles can be selected. That is, when the proportion of available charging piles is the same, the charging station with more charging piles should be selected first, so that customers can select a charging station with better service.

[0055] If all other weights of the two charging stations are the same and the proportion of available charging piles is also the same, the more charging piles a charging station has, the more available charging piles it has. Based on the weight analysis, the charging station with more available charging piles can be selected, that is, the charging station with the same proportion of available charging piles should be given priority.

[0056] The larger the proportion of vacant charging piles, i.e. the larger c is, the larger the total score g is, which is approximately optimal;

[0057] The inventors discovered that the queuing speed for charging stations is not simply determined by the number of available charging stations. For example, a charging station may have only 5 charging stations, all of which are available; another charging station may have 100 charging stations, with 10 available. It is not that the charging station with 10 available charging stations is easier to queue for, but rather that the charging station with only 5 charging stations is more convenient.

[0058] This design, through the inventor's creative thinking, provides users with easier access to charging stations, saving time and offering convenience.

[0059] However, during actual investigations, the inventors discovered that determining the optimal charging station is not simply based on the proportion of available charging piles (c). The inventors creatively discovered that the difference (b) in the number of available charging piles is also a factor affecting charging convenience. Therefore, they added the difference (b) as a reference value and established a mathematical model framework, forming a composite calculation system. This design, through the inventors' innovative thinking, provides users with easier access to charging piles, saving time and offering greater convenience.

[0060] The formula for weight analysis is: a×a1+b×b1+c×c1+d×d1+e×e1=g. By comparing the weights g of different charging stations, a suitable charging station is selected and pushed to the user's mobile terminal APP. Among them, the charging price difference parameter a, the available charging pile difference parameter b, the distance information difference parameter d, and the distance time information difference parameter e are based on the numerical values ​​provided by the two charging stations. The difference parameter with the larger number is positive, and the difference parameter with the smaller number is negative.

[0061] Preferably, when the mobile app is linked to the navigation system and the user sets the navigation route, the server system calculates the distance and time to reach different charging stations via detours along the navigation route, which are respectively used as distance information and time information, referred to as detour distance information and detour time information. The system can perform weight analysis and selection of charging stations on the user's planned route to avoid users taking detours for charging, save users' travel time and energy, and make it easier for users to find charging stations.

[0062] Ideally, after performing weight analysis, the server system selects at least two charging stations with the best values ​​and pushes them to the mobile terminal APP for the customer to choose from. After the customer makes a selection, the system automatically enters the navigation system for navigation. The system keeps at least two of the best charging stations and pushes them to the mobile terminal APP to facilitate users in planning routes and choosing familiar charging stations.

[0063] Preferably, the server system stores information on the number of charging piles at charging stations; this information serves as a parameter for adjusting the weight c1 of the proportion of available charging piles; the larger the number of charging piles, the greater the weight c1; by adjusting the weight c1 based on the number of charging piles, it is possible to select charging stations with a larger proportion when the number of available charging piles is the same, and also to select charging stations with more charging piles when the proportion of available charging piles is the same, enabling customers to select charging stations with better service.

[0064] Preferably, when comparing multiple charging stations, the charging station with the smallest remaining mileage value is selected and weighted against other charging stations. Charging stations with a weight greater than its own are selected, while those with a weight less than its own are excluded. The selected charging stations are then selected again using the above method until the number of selected charging stations is less than 4. At this point, the selected charging stations are pushed to the mobile terminal APP. If the weight of the initial selection is optimal, 1-2 charging stations with the closest weight difference are selected and pushed to the user's mobile terminal APP along with the initially selected charging station.

[0065] When in use, users open the mobile app and select a charging station. The server system obtains the user's location information from the app and combines it with the geographical distribution information of charging stations stored in the system to obtain distance and travel time information. After weighting the information, the server system selects at least one charging station with the best value and pushes it to the mobile app. When the customer selects a route, the system pushes charging stations along the route based on the detour distance and travel time information. When the customer enters the remaining battery range in the mobile app, the server system prioritizes the nearest charging station to ensure that the customer can drive the vehicle into the charging station.

[0066] Example 2

[0067] Reference Figures 2-4 This is the second embodiment of the present invention, which is based on the previous embodiment.

[0068] The charging station is also equipped with an automatic vehicle identification and billing system. This system includes a charging gun 2 connected to a charging control system, which has a billing information input terminal. It also includes an RFID card scanning system and at least one RFID card 1. The signal output terminal of the RFID card scanning system is connected to the billing information input terminal. The RFID card scanning system includes an RFID card scanning antenna 3, which is located at the charging port of the charging gun 2. The RFID card 1 is a type of RFID card that is attached to the car's charging port 4. By using the RFID card scanning antenna 3 and the RFID card 1 on the charging gun 2, the RFID card 1 can be automatically identified during charging. The billing system automatically deducts the account balance associated with the RFID card 1, thus achieving automatic vehicle identification and billing at the charging station. The RFID card 1 is attached to the car's charging port 4, and can be automatically swiped while charging with the charging gun 2, requiring no manual operation. Automatic identification and use are simple and quick.

[0069] An encapsulation film is set on the back of the RFID card 1, covering the RFID card 1 chip 8 and antenna 6, and is adhered to at least one of the RFID card 1 chip 8 and antenna 6; the encapsulation film has a breakable contour line 7 around the RFID card 1 chip 8, and the breakable contour line 7 is a linear structure with mechanical strength lower than the surrounding film; at least a part of the antenna 6 is located outside the breakable contour line 7; when the encapsulation film on the back of the RFID card 1 is pasted on the vehicle and then peeled off, the combined structure of the RFID card 1 chip 8 and antenna 6 will be destroyed, preventing the RFID card 1 from being used in different vehicles, achieving strict vehicle-card correspondence, ensuring the accuracy of vehicle identification, and preventing the theft of recharge fees.

[0070] Preferably, the charging gun 2 has a plastic enclosure at the charging interface, and the RFID card scanning antenna 3 is embedded in the plastic enclosure; by setting the plastic enclosure, the RFID card 1 can be protected from being scratched by the charging gun 2 which is repeatedly plugged in and out, and the RFID card 1 can also be prevented from being stolen.

[0071] Preferably, the RFID card 1 is attached to the car charging port 4, and its position corresponds to the position of the RFID card scanning antenna 3 inside the charging gun 2 after the charging gun 2 is inserted into the car charging port 4. The charging interface of the charging gun 2 has a charging part that is inserted into the car charging port 4 and an exposed external part. By attaching the RFID card 1 to the charging port, and positioning it to correspond with the RFID card scanning antenna 3 of the charging gun 2, it is convenient for the RFID card scanning antenna 3 to scan the RFID card 1. The RFID card scanning antenna 3 is set in the external part of the charging gun 2, so that the charging gun 2 automatically scans the RFID card 1 when charging, so that the RFID card 1 scanning system can complete the scan without additional action, making the operation more convenient.

[0072] Preferably, the car charging port 4 has a charging port cover 5 and a charging port; the RFID card 1 is attached to the car charging port 4, on the outer edge of the charging port covered by the charging port cover 5; by attaching the RFID card 1 to the car charging port 4, it can be covered by the cover 5 of the car charging port 4, thus protecting the RFID card 1 and extending its service life.

[0073] Preferably, the encapsulation film is made of double-sided adhesive made of acrylic acrylic raw material; using acrylic acrylic double-sided adhesive as the encapsulation film, this material has good heat resistance and waterproof performance, which improves the stability of the RFID card 1 after bonding.

[0074] When in use, open the cover 5 of the car charging port 4, insert the charging gun 2 into the charging port, and the RFID card scanning antenna 3 scans the RFID card 1. The RFID card scanning system sends the sensed signal to the billing information input terminal. The charging control system starts charging the vehicle while deducting the account balance associated with the RFID card 1. When charging is complete, pull out the charging gun 2, the RFID card scanning antenna 3 detaches from the RFID card 1, and the RFID card scanning system sends a disconnect signal to the billing information input terminal. The charging control system stops charging and stops charging. Peel off the double-sided adhesive protective layer of the RFID card 1's encapsulation film and stick it to the outer edge of the charging port 4, which is covered by the charging port 4 cover 5. After fixing it firmly, protect it with plastic encapsulation. If someone steals the RFID card 1, the antenna 6 of the RFID card 1 will be broken by the outline 7, and the combination structure of the RFID card 1 chip 8 and antenna 6 will be destroyed, preventing the RFID card 1 from being stolen and the recharge fee from being stolen.

[0075] It is important to note that the constructions and arrangements of this application shown in several different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who consult this disclosure will readily understand that many modifications are possible (e.g., changes in the size, dimensions, structure, shape, and proportions of various elements, as well as parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, orientation, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in this application). For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of elements may be inverted or otherwise altered, and the nature or number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the invention. The order or sequence of any process or method steps may be changed or rearranged according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure described herein that performs the function, and not only structurally equivalent but also equivalent in structure. Other substitutions, modifications, alterations, and omissions may be made in the design, operation, and arrangement of the exemplary embodiments without departing from the scope of the invention. Therefore, the present invention is not limited to the specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0076] Furthermore, in order to provide a concise description of exemplary embodiments, not all features of actual embodiments (i.e., those features that are not relevant to the best mode of carrying out the invention as currently considered, or those features that are not relevant to implementing the invention) may be omitted.

[0077] It should be understood that numerous specific implementation decisions can be made during the development of any practical implementation, such as in any engineering or design project. Such development efforts may be complex and time-consuming, but for those skilled in the art who benefit from this disclosure, the development effort will be a routine work of design, manufacturing, and production without requiring much experimentation.

[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An automatic optimization and allocation system for charging station resources, comprising a charging station, wherein the charging station is equipped with a charging control system for managing charging operations; characterized in that: It also includes server systems; The server system communicates with the charging control systems of at least two charging stations; It also includes a mobile terminal APP, which communicates with the server system, and the mobile terminal APP also contains user account information; The charging control systems of at least two charging stations transmit charging price information, available charging pile information, and available charging pile ratio information to the server system in real time. The server system stores geographical distribution information of charging stations; The server system obtains user location information through a mobile terminal APP; The server system uses user location information and charging station geographical distribution information to calculate and obtain distance and travel time information for several nearby charging stations; The mobile app has an interface that allows users to input the remaining battery range. The server system will comprehensively compare the charging price information, available charging pile information, available charging pile ratio information, distance information, and travel time information of several nearby charging stations. The remaining battery range will be used as a weighting factor for adjustment. In the charging price information, the parameter for the difference in charging prices between the two charging stations is set to 'a', and the weight is set to 'a1'. In the information on available charging piles, the parameter for the difference in available charging piles between two charging stations is set to b, and the weight is set to b1. In the information on the proportion of available charging piles, the parameter for the proportion of available charging piles for the two charging stations is set to c, and the weight is set to c1. In the distance information, the difference parameter between the distance information of the two charging stations is set as d, and the weight is set as d1; In the travel time information, the difference parameter between the travel time information of the two charging stations is set to e, and the weight is set to e1; The remaining mileage value in the remaining battery range is used as the parameter to adjust the weight d1 in the distance information; the smaller the remaining mileage value, the larger the weight d1 is adjusted. After performing weight analysis, the server system selects at least one charging station with the best value and pushes it to the mobile terminal APP. The mobile app is linked to the navigation system, which automatically navigates to the charging station with the optimal values. Moreover, when selecting nearby charging stations, the server system automatically filters out charging stations whose distance is greater than the remaining mileage value. When a navigation system is associated with a mobile terminal APP and the user sets a navigation route, the server system calculates the distance and time to reach different charging stations by taking detours in the navigation route, and uses these as the distance information and the time information, respectively, which are called detour distance information and detour time information. After performing weight analysis, the server system selects at least two charging stations with the best values ​​and pushes them to the mobile terminal APP for the customer to choose from. After the customer makes a selection, the system will automatically take them into navigation mode. The formula for weight analysis is: a×a1+b×b1+c×c1+d×d1+e×e1=g. By comparing the weights g of different charging stations, a suitable charging station is selected and pushed to the user's mobile terminal APP. Among them, the charging price difference parameter a, the available charging pile difference parameter b, the distance information difference parameter d, and the distance time information difference parameter e are based on the numerical values ​​provided by the two charging stations. The difference parameter with the larger number is positive, and the difference parameter with the smaller number is negative.

2. The automatic optimization and allocation system for charging station resources according to claim 1, characterized in that: The server system stores information on the number of charging piles at the charging station. The number of charging piles in the server system is used as a parameter for adjusting the weight c1 of the proportion of available charging piles. The larger the number of charging piles, the greater the weight c1 will be.

3. The automatic optimization and allocation system for charging station resources according to claim 2, characterized in that: The charging station is also equipped with an automatic vehicle identification and billing system; The vehicle automatic identification and billing system includes a charging gun, which is connected to a charging control system, and the charging control system has a billing information input terminal. It also includes an RFID card scanning system and at least one RFID card; The signal output terminal of the RFID card scanning system is connected to the billing information input terminal; The RFID card scanning system includes an RFID card scanning antenna, which is located at the charging port of the charging gun. An RFID card is a type of RFID card that is attached to the charging port of a car.

4. The automatic optimization and allocation system for charging station resources according to claim 3, characterized in that: An encapsulation film is set on the back of the RFID card, which covers the RFID card chip and the antenna and is bonded to at least one of the RFID card chip and the antenna; The encapsulation film has a breakable outline around the RFID chip. The breakable outline is a linear structure with lower mechanical strength than the surrounding film. At least a portion of the antenna lies outside the breakable outline.

5. The automatic optimization and allocation system for charging station resources according to claim 3, characterized in that: The charging gun has a plastic enclosure at the charging interface, and the RFID card scanning antenna is embedded in the plastic enclosure.

6. The automatic optimization and allocation system for charging station resources according to claim 3, characterized in that: The RFID card is attached to the car charging port, and its position corresponds to the position of the RFID card scanning antenna inside the charging gun after the charging gun is inserted into the car charging port. The charging gun has a charging part that plugs into the car's charging port and an exposed external part. The RFID card scanning antenna is located in the external part of the charging gun.

7. The automatic optimization and allocation system for charging station resources according to claim 3, characterized in that: The car charging port has a charging port cover and a charging plug; The RFID tag is attached to the outer edge of the charging port, which is covered by the charging port cover.

8. The automatic optimization and allocation system for charging station resources according to claim 3, characterized in that: The charging gun has a charging part that plugs into the car's charging port and an exposed external part. The RFID card scanning antenna is located in the external part of the charging gun.

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