A method and device for inductive and orderly charging of an electric vehicle

Abstract

This invention relates to the field of electric vehicle charging control technology, specifically providing a seamless and orderly charging method and apparatus for electric vehicles. The method includes: reading the electric vehicle's authentication information after the user plugs in the charging gun, and authenticating the electric vehicle based on the authentication information; after successful authentication, acquiring the electric vehicle's historical charging information, and predicting the necessary parameters for the current charging based on the historical charging information; calling a linear optimization model to generate the electric vehicle's charging power result, and using the charging power result as the charging strategy for charging the electric vehicle. The technical solution provided by this invention combines orderly charging and instant charging technologies, optimizing the cumbersome process of initiating orderly charging and improving user-friendliness. Simultaneously, this invention optimizes the charging strategy, prioritizing user charging needs, ensuring user vehicle usage, and increasing user acceptance.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle charging control technology, specifically to a non-inductive, orderly charging method and apparatus for electric vehicles. Background Technology

[0002] Currently, energy production is becoming increasingly cleaner and more flexible, while the demand for diversified and interactive energy consumption is becoming more prominent. New energy-consuming devices, represented by electric vehicles, are widely used, and the number of electric vehicles is increasing daily. Electric vehicle electricity consumption accounts for approximately one-third of the total grid load, posing a significant challenge to the safe, economical, and reliable operation of the power grid. New requirements for electric vehicle charging services have been put forward from aspects such as grid safety operation, user needs, technological development, policy promotion, and clean energy consumption.

[0003] The disorderly construction of community charging stations and the centralized charging of electric vehicles according to user habits will overlap with the electricity load of residents. The current power distribution network cannot bear the severe pressure brought by disorderly charging after the large-scale growth of electric vehicles in the future.

[0004] Therefore, it is necessary to construct community charging stations in an orderly manner, promote orderly charging technology, and guide user behavior through marketing and technology to reduce the overlap between charging load and residential load and reduce the pressure on the power distribution network. This is an important prerequisite for the large-scale growth of electric vehicles in the future.

[0005] Existing technologies include (1) Orderly charging technology: The regional personnel set the time-sharing charging power according to the operational needs. After the user completes the information binding, orderly charging can be carried out. When charging starts, the time-sharing charging strategy is sent to the charging pile. The charging pile adjusts the charging power according to the time-sharing charging strategy to complete the charging process. (2) Plug and charge technology: After the user plugs in the charging pile, the charging pile powers on the BMS. The charging pile and the BMS send a handshake message to obtain the vehicle VIN information and upload it to the platform. The platform matches and authenticates the relationship between the VIN and the user. After successful authentication, the charging process starts.

[0006] However, the above solution has the following drawbacks:

[0007] 1. The existing orderly charging technology is not integrated with plug-and-charge technology. When starting orderly charging, information such as initial SOC, target SOC, and vehicle delivery time needs to be filled in, which makes the startup process cumbersome and unfriendly to users.

[0008] 2. Existing orderly charging technology does not interact with the market and substations in terms of source and load. Instead, it adopts a fixed time-sharing strategy maintained by operators, which cannot be flexibly adjusted according to the needs of the market and substations to better serve them.

[0009] 3. Existing orderly charging technology does not prioritize meeting users' charging needs. Based on the fixed time-sharing strategy maintained by operators, it cannot meet users' vehicle usage needs in some emergency charging scenarios. Summary of the Invention

[0010] To overcome the above-mentioned shortcomings, the present invention proposes a non-inductive orderly charging method and apparatus for electric vehicles.

[0011] Firstly, a method for seamless and orderly charging of electric vehicles is provided, the method comprising:

[0012] After the user inserts the gun, the authentication information of the electric vehicle is read, and the electric vehicle is authenticated based on the authentication information.

[0013] After successful authentication, the system obtains the electric vehicle's historical charging information and predicts the necessary parameters for the current charging of the electric vehicle based on this information.

[0014] A linear optimization model is invoked to generate the charging power result of the electric vehicle, and the charging power result is used as the charging strategy for the electric vehicle to charge it.

[0015] Preferably, the authentication information includes: vehicle VIN information.

[0016] Preferably, the historical charging information includes at least one of the following: historical order information and historical start-stop information.

[0017] Furthermore, the necessary parameters include at least one of the following: vehicle pickup time and target charging amount.

[0018] Furthermore, the necessary parameters for predicting the current charging of an electric vehicle based on its historical charging information include:

[0019] Select the time with the highest probability of starting from the historical start-stop information as the vehicle pickup time for this charging;

[0020] Retrieve the maximum charging amount from historical order information. If the maximum charging amount is less than the threshold, use the maximum charging amount as the target charging amount for this charge. Otherwise, delete the maximum charging amount and repeat this operation until the target charging amount for this charge is determined.

[0021] Preferably, the linear optimization model includes: an objective function and its corresponding constraints for the seamless and orderly charging configuration of electric vehicles.

[0022] Furthermore, the objective function is calculated as follows:

[0023] Min(sum(Ktotal_i*Pi) / 4)

[0024] In the above formula, sum is the summation function, Ktotal_i is the comprehensive charging price at the i-th time, Pi is the charging power at the i-th time, i∈[1,n], and n is the total number of time intervals between the start of charging and the vehicle pickup time.

[0025] Furthermore, the formula for calculating the comprehensive charging price at the i-th time moment is as follows:

[0026] Ktotal_i = Charging cost at time i - Market subsidy at time i.

[0027] Furthermore, the formula for calculating the constraint conditions is as follows:

[0028] Pi>1.5

[0029] 7>=Pi

[0030] E*1.05>=(Pm+Pm+1+...+Pm+n-1) / 4

[0031] (Pm+Pm+1+...+Pm+n-1) / 4>=0.95*Ei

[0032] In the above formula, Pm+n-1 is the charging power at the m+n-1th time, E is the target charging amount, Ei is the target charging amount at the i-th time, and m is the optimization start time.

[0033] Secondly, a contactless and orderly charging device for electric vehicles is provided, the contactless and orderly charging device for electric vehicles comprising:

[0034] The authentication module is used to read the authentication information of the electric vehicle after the user inserts the gun, and to authenticate the electric vehicle based on the authentication information.

[0035] The prediction module is used to obtain the historical charging information of the electric vehicle after authentication is passed, and to predict the necessary parameters for the current charging of the electric vehicle based on the historical charging information.

[0036] The charging module is used to call a linear optimization model to generate the charging power result of the electric vehicle, and to charge the electric vehicle using the charging power result as the charging strategy.

[0037] Thirdly, a computer device is provided, comprising: one or more processors;

[0038] The processor is used to store one or more programs;

[0039] When the one or more programs are executed by the one or more processors, the non-contact, orderly charging method for electric vehicles is implemented.

[0040] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, wherein when the computer program is executed, the method for the non-inductive and orderly charging of electric vehicles is implemented.

[0041] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects:

[0042] This invention provides a method and apparatus for seamless, orderly charging of electric vehicles, comprising: reading the authentication information of the electric vehicle after the user plugs in the charging gun, and authenticating the electric vehicle based on the authentication information; obtaining the historical charging information of the electric vehicle after successful authentication, and predicting the necessary parameters for the current charging of the electric vehicle based on the historical charging information; calling a linear optimization model to generate the charging power result of the electric vehicle, and charging the electric vehicle using the charging power result as the charging strategy. The technical solution provided by this invention realizes seamless, orderly charging in plug-and-charge scenarios, simplifies the orderly charging process, ensures the user's charging needs during orderly charging, and connects with markets and charging stations to provide auxiliary services to them. Attached Figure Description

[0043] Figure 1 This is a schematic flowchart of the main steps of the non-contact orderly charging method for electric vehicles according to an embodiment of the present invention;

[0044] Figure 2 This is a main structural block diagram of the contactless and orderly charging device for electric vehicles according to an embodiment of the present invention. Detailed Implementation

[0045] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] Example 1

[0048] This invention integrates existing orderly charging and plug-and-charge technologies to achieve seamless orderly charging in plug-and-charge scenarios. It also optimizes the orderly charging strategy to better meet user charging needs and provide greater service to the market and distribution centers.

[0049] In plug-and-charge scenarios, orderly charging simplifies the orderly charging initiation process. Orderly charging in plug-and-charge scenarios requires the automated collection and recommendation of necessary parameters. This involves automatically collecting the user's vehicle's initial State of Charge (SOC) through the bound VIN information, inferring the user's vehicle pickup time based on historical vehicle start-stop information, and inferring the user's current charging needs based on historical charging order data and charging start times. This allows for the automatic generation of the aforementioned parameters and the initiation of orderly charging upon the user plugging in the charger.

[0050] An optimized, orderly charging strategy ensures users' charging needs are met. After obtaining parameters such as required battery capacity and vehicle pickup time, the required battery capacity is prioritized. Other parameters are then checked and adjusted. If the required battery capacity cannot be met within the user-set pickup time, the pickup time is postponed. Then, based on meeting the required battery capacity, a linear optimization method is used to plan the charging strategy.

[0051] It receives demand from charging stations and the market, and provides auxiliary services to these areas and the market. It maintains the relationship between user charging stations and the market / charging station through an information management system, and uses market and charging station demand as optimization parameters for charging strategies. The optimization objective is to maximize market revenue and minimize the impact on charging stations, thereby generating charging strategies.

[0052] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a contactless, orderly charging method for electric vehicles according to an embodiment of the present invention. Figure 1 As shown, the non-contact, orderly charging method for electric vehicles in this embodiment of the invention mainly includes the following steps:

[0053] Step S101: After the user inserts the gun, the authentication information of the electric vehicle is read, and the electric vehicle is authenticated based on the authentication information;

[0054] Step S102: After authentication is successful, obtain the historical charging information of the electric vehicle, and predict the necessary parameters for the current charging of the electric vehicle based on the historical charging information of the electric vehicle.

[0055] Step S103: Call the linear optimization model to generate the charging power result of the electric vehicle, and use the charging power result as the charging strategy for the electric vehicle to charge the electric vehicle.

[0056] The authentication information includes: vehicle VIN information. The historical charging information includes at least one of the following: historical order information, historical start-stop information. The necessary parameters include at least one of the following: vehicle pickup time, target charging amount.

[0057] In one implementation, the necessary parameters for predicting the current charging of an electric vehicle based on its historical charging information include:

[0058] Select the time with the highest probability of starting from the historical start-stop information as the vehicle pickup time for this charging;

[0059] Retrieve the maximum charging amount from historical order information. If the maximum charging amount is less than the threshold, use the maximum charging amount as the target charging amount for this charge. Otherwise, delete the maximum charging amount and repeat this operation until the target charging amount for this charge is determined.

[0060] In this embodiment, the linear optimization model includes: an objective function and its corresponding constraints for the seamless and orderly charging configuration of electric vehicles.

[0061] In one implementation, the objective function is calculated as follows:

[0062] Min(sum(Ktotal_i*Pi) / 4)

[0063] In the above formula, sum is the summation function, Ktotal_i is the comprehensive charging price at the i-th time, Pi is the charging power at the i-th time, i∈[1,n], and n is the total number of time intervals between the start of charging and the vehicle pickup time.

[0064] In one implementation, the formula for calculating the overall charging price at the i-th time moment is as follows:

[0065] Ktotal_i = Charging cost at time i - Market subsidy at time i.

[0066] In one implementation, the constraint condition is calculated as follows:

[0067] Pi>1.5

[0068] 7>=Pi

[0069] E*1.05>=(Pm+Pm+1+...+Pm+n-1) / 4

[0070] (Pm+Pm+1+...+Pm+n-1) / 4>=0.95*Ei

[0071] In the above formula, Pm+n-1 is the charging power at the m+n-1th time, E is the target charging amount, Ei is the target charging amount at the i-th time, and m is the optimization start time.

[0072] Example 2

[0073] Based on the same inventive concept, the present invention also provides a contactless, orderly charging device for electric vehicles, such as... Figure 2 As shown, the contactless orderly charging device for the electric vehicle includes:

[0074] The authentication module is used to read the authentication information of the electric vehicle after the user inserts the gun, and to authenticate the electric vehicle based on the authentication information.

[0075] The prediction module is used to obtain the historical charging information of the electric vehicle after authentication is passed, and to predict the necessary parameters for the current charging of the electric vehicle based on the historical charging information.

[0076] The charging module is used to call a linear optimization model to generate the charging power result of the electric vehicle, and to charge the electric vehicle using the charging power result as the charging strategy.

[0077] Preferably, the authentication information includes: vehicle VIN information.

[0078] Preferably, the historical charging information includes at least one of the following: historical order information and historical start-stop information.

[0079] Furthermore, the necessary parameters include at least one of the following: vehicle pickup time and target charging amount.

[0080] Furthermore, the necessary parameters for predicting the current charging of an electric vehicle based on its historical charging information include:

[0081] Select the time with the highest probability of starting from the historical start-stop information as the vehicle pickup time for this charging;

[0082] Retrieve the maximum charging amount from historical order information. If the maximum charging amount is less than the threshold, use the maximum charging amount as the target charging amount for this charge. Otherwise, delete the maximum charging amount and repeat this operation until the target charging amount for this charge is determined.

[0083] Preferably, the linear optimization model includes: an objective function and its corresponding constraints for the seamless and orderly charging configuration of electric vehicles.

[0084] Furthermore, the objective function is calculated as follows:

[0085] Min(sum(Ktotal_i*Pi) / 4)

[0086] In the above formula, sum is the summation function, Ktotal_i is the comprehensive charging price at the i-th time, Pi is the charging power at the i-th time, i∈[1,n], and n is the total number of time intervals between the start of charging and the vehicle pickup time.

[0087] Furthermore, the formula for calculating the comprehensive charging price at the i-th time moment is as follows:

[0088] Ktotal_i = Charging cost at time i - Market subsidy at time i.

[0089] Furthermore, the formula for calculating the constraint conditions is as follows:

[0090] Pi>1.5

[0091] 7>=Pi

[0092] E*1.05>=(Pm+Pm+1+...+Pm+n-1) / 4

[0093] (Pm+Pm+1+...+Pm+n-1) / 4>=0.95*Ei

[0094] In the above formula, Pm+n-1 is the charging power at the m+n-1th time, E is the target charging amount, Ei is the target charging amount at the i-th time, and m is the optimization start time.

[0095] Example 3

[0096] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby realizing the steps of the contactless and orderly charging method for electric vehicles in the above embodiments.

[0097] Example 4

[0098] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the contactless orderly charging method for an electric vehicle in the above embodiments.

[0099] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0100] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0101] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0102] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for inductive and orderly charging of an electric vehicle, characterized in that, The method includes: After the user inserts the gun, the authentication information of the electric vehicle is read, and the electric vehicle is authenticated based on the authentication information. After successful authentication, the system obtains the electric vehicle's historical charging information and predicts the necessary parameters for the current charging of the electric vehicle based on this information. A linear optimization model is invoked to generate the charging power result of the electric vehicle, and the charging power result is used as the charging strategy for the electric vehicle to charge it. The necessary parameters include: vehicle pickup time and target charging amount; The linear optimization model includes: the objective function for the seamless and orderly charging configuration of electric vehicles and its corresponding constraints; The objective function is calculated as follows: Min (sum( Ktotal_i *Pi) / 4) In the above formula, sum is the summation function, Ktotal_i is the comprehensive charging price at the i-th time, Pi is the charging power at the i-th time, i∈[1,n], and n is the total number of time intervals between the start of charging and the vehicle pickup time; The constraint conditions are calculated as follows: Pi>1.5 7>=Pi E*1.05>=(Pm + Pm+1 +... + Pm+n-1) / 4 (Pm + Pm+1 +... + Pm+n-1) / 4>= 0.95*Ei In the above formula, Pm+n-1 is the charging power at the m+n-1th time, E is the target charging amount, Ei is the target charging amount at the i-th time, and m is the optimization start time.

2. The method of claim 1, wherein, The authentication information includes: vehicle VIN information.

3. The method of claim 1, wherein, The historical charging information includes at least one of the following: historical order information and historical start-stop information.

4. The method of claim 3, wherein, The necessary parameters for predicting the current charging of an electric vehicle based on its historical charging information include: The time with the highest probability of starting is selected from the historical start-stop information as the vehicle pickup time for this charging. Retrieve the maximum charging amount from historical order information. If the maximum charging amount is less than the threshold, use the maximum charging amount as the target charging amount for this charge. Otherwise, delete the maximum charging amount and repeat this operation until the target charging amount for this charge is determined.

5. The method of claim 1, wherein, The formula for calculating the overall charging price at time i is as follows: Ktotal_i = Charging cost at time i - Market subsidy at time i.

6. An apparatus for a non-inductive, ordered charging method for electric vehicles according to any one of claims 1-5, characterized in that, The device includes: The authentication module is used to read the authentication information of the electric vehicle after the user inserts the gun, and to authenticate the electric vehicle based on the authentication information. The prediction module is used to obtain the historical charging information of the electric vehicle after authentication is passed, and to predict the necessary parameters for the electric vehicle to charge this time based on the historical charging information. The charging module is used to call a linear optimization model to generate the charging power result of the electric vehicle, and to charge the electric vehicle using the charging power result as the charging strategy.

7. A computer device, characterized in that, include: One or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the non-contact, orderly charging method for electric vehicles as described in any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the non-contact, orderly charging method for electric vehicles as described in any one of claims 1 to 5.

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