Recommendation method and device of charging station recommendation system and medium

Abstract

The invention provides a recommendation method and device of a charging station recommendation system and a medium, and belongs to the technical field of charging piles. Comprising the steps that a user inputs current position information through a mobile application or a Web platform, and a system receives and processes a request; data acquisition and processing: acquiring charging pile distance, charging pile price and charging pile waiting time data, and performing standardization processing to obtain a distance score, a price score, a waiting time score, an uphill and downhill score and a traffic jam score; setting a distance weight, a price weight, a waiting time weight, an uphill and downhill weight and a traffic jam weight in the emergency scheme, the comprehensive scheme and the money-saving scheme; calculating a comprehensive score of each charging pile by using a weighted average formula; and obtaining a charging station recommendation list according to the comprehensive score, and enabling the user to select and go to a target charging station. The method has remarkable beneficial effects in the aspects of improving the charging efficiency, optimizing the user experience, improving the operation efficiency of the charging station and the like, and has relatively high practical value and social benefit.

Description

Technical Field

[0001] The present invention relates to a recommendation method, a device and a medium of a charging station recommendation system, and belongs to the technical field of charging piles. Background Art

[0002] With the popularity of electric vehicles, the demand for charging piles is increasing. However, users often face many inconveniences when looking for charging piles, such as uneven distribution of charging piles, opaque charging prices, and difficulty in obtaining real-time usage information of charging piles. These problems not only affect the user's charging experience, but may also cause users to delay their trips due to failure to find suitable charging piles in time.

[0003] In order to solve the above problems, some charging pile recommendation systems have appeared on the market. These systems usually recommend nearby charging piles to users based on information such as the user's current location and charging needs. However, these systems often only consider the distance factor of the charging pile, while ignoring other important factors such as charging price, charging pile usage, road conditions, etc. Therefore, these systems are often not accurate and comprehensive when recommending charging piles, and cannot meet the diverse needs of users.

[0004] In addition, the existing charging pile reservation system also has some shortcomings. For example, although some systems provide reservation functions, the reservation process is cumbersome and the user experience is poor; some systems cannot provide users with suitable reservation packages based on their actual conditions (such as navigation time, reservation duration, etc.), causing users to feel inconvenienced when using the reservation function.

[0005] Therefore, a more comprehensive, accurate and convenient charging pile recommendation and reservation method is needed to meet the diverse needs of users and improve their charging experience and satisfaction. Summary of the invention

[0006] The purpose of the present invention is to provide a recommendation method, device and medium for a charging station recommendation system, aiming to solve the above-mentioned problems and provide users with better quality and more efficient charging pile recommendation and reservation services.

[0007] In order to achieve the above object, the present invention is implemented through the following technical solutions: A recommendation method of a charging station recommendation system comprises the following steps: The user enters the current location information through the mobile application or web platform, and the system receives and processes the request; Data acquisition and processing: obtain charging pile distance, charging pile price and charging pile waiting time data, and perform standardization to obtain distance score, price score, waiting time score, uphill and downhill score, and traffic jam score; Set distance weight, price weight, waiting time weight, uphill and downhill weight, and traffic jam weight in emergency plan, comprehensive plan, and money-saving plan; A weighted average formula is used to calculate the comprehensive score of each charging pile; a recommended list of charging stations is obtained based on the comprehensive score, and the user selects and goes to the target charging station.

[0008] Preferably, the standardization method includes normalization and Z-score standardization.

[0009] Preferably, the emergency plan can set the distance weight to 0.4, the price weight to 0.1, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; the comprehensive plan can set the distance weight to 0.3, the price weight to 0.2, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; the money-saving plan can set the distance weight to 0.2, the price weight to 0.4, the waiting time weight to 0.1, the uphill and downhill weight to 0.2, and the traffic jam weight to 0.1.

[0010] Preferably, the method further includes the user reserving a target charging station, specifically comprising: A corresponding reservation package is generated based on the minimum free reservation time and the navigation time from the current location to the charging station for users to choose. If the minimum free reservation time is greater than or equal to the navigation time from the current location to the charging station, no charge is required and the user is directly informed of the required time; if the minimum free reservation time is less than the navigation time from the current location to the charging station, the user is informed of the required time and the reservation fee.

[0011] Preferably, the weighted average formula is as follows: scores = d*w1 + p*w2 + t*w3 + s*w4 + r*w5; wherein d represents the distance score, w1 represents the distance weight, p represents the price score, w2 represents the price weight, t represents the waiting time score, w3 represents the waiting time weight, s represents the uphill and downhill score, w4 represents the uphill and downhill weight, r represents the traffic jam score, and w5 represents the traffic jam weight.

[0012] A recommendation device of a charging station recommendation system comprises a processor and a memory storing program instructions, wherein the processor is configured to execute a recommendation method of the charging station recommendation system when running the program instructions.

[0013] A computer-readable storage medium stores a computer program, which implements the method when executed by a processor.

[0014] The advantages of the present invention are: By acquiring the charging status information of the charging pile in real time, the present invention can dynamically adjust the recommendation list to ensure that users can quickly find available charging piles, thereby reducing the waiting time caused by charging pile occupancy or failure. The reservation function allows users to lock charging pile resources in advance, further ensuring the user's charging needs and avoiding the situation where the charging pile is occupied only after arriving at the charging station.

[0015] The present invention can guide users to use charging pile resources reasonably, reduce ineffective driving caused by searching for charging piles, and help reduce carbon emissions and energy consumption by improving charging efficiency and user experience.

[0016] In summary, the method for recommending and reserving charging piles proposed in the present invention has significant beneficial effects in improving charging efficiency, optimizing user experience, and improving charging station operating efficiency, and has high practical value and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0018] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] like Figure 1 As shown, a recommendation method of a charging station recommendation system includes the following steps: S1: The user enters the current location information through the mobile application or web platform, and the system receives and processes the request; S2: Data acquisition and processing, obtaining charging pile distance, charging pile price and charging pile waiting time data, and performing standardization processing to obtain distance score, price score, waiting time score, uphill and downhill score, and traffic jam score; S3: Set distance weight, price weight, waiting time weight, uphill and downhill weight, and traffic jam weight in emergency plan, comprehensive plan, and money-saving plan; S4: Calculate the comprehensive score of each charging pile using the weighted average formula; obtain a recommended list of charging stations based on the comprehensive score, and the user selects and goes to the target charging station.

[0021] As a refinement of the above embodiment, the standardization method includes normalization and Z-score standardization.

[0022] As a refinement of the above embodiment, the emergency plan can set the distance weight to 0.4, the price weight to 0.1, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; the comprehensive plan can set the distance weight to 0.3, the price weight to 0.2, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; the money-saving plan can set the distance weight to 0.2, the price weight to 0.4, the waiting time weight to 0.1, the uphill and downhill weight to 0.2, and the traffic jam weight to 0.1.

[0023] As a refinement of the above embodiment, the method further includes the user reserving a target charging station, specifically including: A corresponding reservation package is generated based on the minimum free reservation time and the navigation time from the current location to the charging station for users to choose. If the minimum free reservation time is greater than or equal to the navigation time from the current location to the charging station, no charge is required and the user is directly informed of the required time; if the minimum free reservation time is less than the navigation time from the current location to the charging station, the user is informed of the required time and the reservation fee.

[0024] As a refinement of the above embodiment, the weighted average formula is as follows: scores = d*w1 + p*w2 + t*w3+ s*w4 + r*w5; wherein d represents the distance score, w1 represents the distance weight, p represents the price score, w2 represents the price weight, t represents the waiting time score, w3 represents the waiting time weight, s represents the uphill and downhill score, w4 represents the uphill and downhill weight, r represents the traffic jam score, and w5 represents the traffic jam weight.

[0025] The embodiment of the present disclosure also provides a recommendation device of a charging station recommendation system, including a processor and a memory. Optionally, the device may also include a communication interface and a bus. The processor, the communication interface, and the memory may communicate with each other through the bus. The communication interface may be used for information transmission. The processor may call the logic instructions in the memory to execute the recommendation method of the charging station recommendation system of the above embodiment.

[0026] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0027] The memory, as a computer-readable storage medium, can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor executes the function application and data processing by running the program instructions / modules stored in the memory, that is, implementing the recommendation method of the charging station recommendation system in the above embodiment.

[0028] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory may include a high-speed random access memory and may also include a non-volatile memory.

[0029] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the recommendation method of the charging station recommendation system.

[0030] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0031] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0032] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A recommendation method of a charging station recommendation system, characterized in that: The following steps are involved: The user enters the current location information through the mobile application or web platform, and the system receives and processes the request; Data acquisition and processing: obtain charging pile distance, charging pile price and charging pile waiting time data, and perform standardization to obtain distance score, price score, waiting time score, uphill and downhill score, and traffic jam score; Set distance weight, price weight, waiting time weight, uphill and downhill weight, and traffic jam weight in emergency plan, comprehensive plan, and money-saving plan; A weighted average formula is used to calculate the comprehensive score of each charging pile; a recommended list of charging stations is obtained based on the comprehensive score, and the user selects and goes to the target charging station.

2. The recommendation method of the charging station recommendation system according to claim 1, characterized in that: Standardization methods include normalization and Z-score standardization.

3. The recommendation method of the charging station recommendation system according to claim 1, characterized in that: For the emergency plan, the distance weight can be set to 0.4, the price weight to 0.1, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; for the comprehensive plan, the distance weight can be set to 0.3, the price weight to 0.2, the waiting time weight to 0.2, the uphill and downhill weight to 0.1, and the traffic jam weight to 0.2; for the money-saving plan, the distance weight can be set to 0.2, the price weight to 0.4, the waiting time weight to 0.1, the uphill and downhill weight to 0.2, and the traffic jam weight to 0.

1.

4. The recommendation method of the charging station recommendation system according to claim 1, characterized in that: The method further includes the user reserving a target charging station, specifically comprising: A corresponding reservation package is generated based on the minimum free reservation time and the navigation time from the current location to the charging station for users to choose. If the minimum free reservation time is greater than or equal to the navigation time from the current location to the charging station, no charge is required and the user is directly informed of the required time; if the minimum free reservation time is less than the navigation time from the current location to the charging station, the user is informed of the required time and the reservation fee.

5. The recommendation method of the charging station recommendation system according to claim 1, characterized in that: The weighted average formula is as follows: scores = d*w1 + p*w2 + t*w3 + s*w4 + r*w5; wherein d represents the distance score, w1 represents the distance weight, p represents the price score, w2 represents the price weight, t represents the waiting time score, w3 represents the waiting time weight, s represents the uphill and downhill score, w4 represents the uphill and downhill weight, r represents the traffic jam score, and w5 represents the traffic jam weight.

6. A recommendation device of a charging station recommendation system, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the recommendation method of the charging station recommendation system according to any one of claims 1 to 5 when running the program instructions.

7. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the method described in any one of claims 1 to 5 is implemented.

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