Queuing guiding method and device for electric vehicle battery replacement and medium

Abstract

The invention discloses a queuing guiding method and device for electric vehicle battery replacement and a medium, and belongs to the technical field of electric vehicle battery replacement. The method comprises the steps of obtaining vehicle information of a to-be-swapped electric vehicle when the to-be-swapped electric vehicle enters a swapping station; wherein the vehicle information comprises a vehicle model, a battery locking mechanism type and a battery type; based on the vehicle information of the to-be-replaced electric vehicle, querying to-be-matched battery replacement stations, meeting the battery replacement requirements, of the battery replacement station, and based on the battery replacement progress of each to-be-matched battery replacement station, determining a to-be-applied battery replacement station; and generating a moving track of the to-be-replaced electric vehicle to the to-be-applied battery replacement station, and sending the moving track to a vehicle-mounted terminal of the to-be-replaced electric vehicle. According to the method, the technical problem that the user experience is poor due to the fact that the number of vehicles in an existing battery swap station is large and queuing and waiting often occur is solved.

Description

Technical Field

[0001] The present application relates to the technical field of battery replacement for electric vehicles, and in particular to a queuing guidance method, device and medium for battery replacement for electric vehicles. Background Art

[0002] With the widespread popularity of electric vehicles, the demand for electric vehicle charging is showing a rapid growth trend. The traditional charging method, that is, charging through charging piles, not only requires a long wait, but may also cause certain pressure on the power grid. In order to solve these problems, the battery swap mode has gradually become an important way to charge electric vehicles.

[0003] The battery swap model refers to replacing the battery of an electric vehicle with a pre-charged battery, thereby shortening the charging time and improving the charging efficiency. This model has been widely used in some fields, such as public transportation and the taxi industry. However, at the battery swap station, due to the large number of vehicles, there are often queues, resulting in poor user experience. Summary of the invention

[0004] The embodiments of the present application provide a queue guidance method, device and medium for electric vehicle battery replacement, which are used to solve the following technical problems: there are a large number of vehicles in existing battery replacement stations, and there are often queues, resulting in poor user experience.

[0005] In the first aspect, an embodiment of the present application provides a queuing guidance method for electric vehicle battery replacement, characterized in that the method includes: when the electric vehicle to be replaced enters the battery replacement station, obtaining vehicle information of the electric vehicle to be replaced; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for a battery replacement station that meets the battery replacement requirements, and based on the battery replacement progress of each battery replacement station to be matched, determine the battery replacement station to be used; generate a movement trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and send the movement trajectory to the vehicle-mounted terminal of the electric vehicle to be replaced.

[0006] The embodiment of the present application provides a queuing guidance method for electric vehicle battery replacement. By obtaining vehicle information and querying the battery replacement stations to be matched that meet the battery replacement requirements, the waiting time of users at the battery replacement station can be reduced and the battery replacement efficiency can be improved. According to the battery replacement progress and vehicle information of each battery replacement station to be matched, the battery replacement stations and batteries can be reasonably allocated to avoid waste and excessive use of resources. By generating a movement trajectory from the electric vehicle to be replaced to the battery replacement station to be used, the user can be guided to reach the designated station safely and accurately to avoid safety accidents caused by misoperation or improper driving. The movement trajectory is sent to the on-board terminal of the electric vehicle to be replaced, and the user can smoothly reach the designated station according to the guidance, reducing the difficulty and mistakes of operation. By obtaining the battery replacement progress and status information of each battery replacement station, it is possible to monitor and manage the battery replacement station, discover and handle problems in a timely manner, and improve operational efficiency and reliability.

[0007] In one implementation of the present application, the vehicle information of the electric vehicle to be replaced is obtained, specifically including: after the electric vehicle to be replaced enters the entrance channel of the battery replacement station, based on the image acquisition device preset in the entrance channel of the battery replacement station, obtaining a vehicle image including a license plate area; based on a preset license plate recognition algorithm, performing license plate recognition on the vehicle image to obtain the license plate information of the electric vehicle to be replaced; based on the license plate information, obtaining the vehicle information of the electric vehicle to be replaced in a preset vehicle information database.

[0008] The embodiment of the present application can accurately obtain the license plate information of the electric vehicle to be replaced by the image acquisition device and the preset license plate recognition algorithm, and then obtain other detailed information of the vehicle based on the license plate information, such as vehicle model, battery locking mechanism type, battery type, etc. By obtaining vehicle information through automated equipment and methods, human errors or cheating behaviors can be avoided, and the accuracy and reliability of information can be improved. Through the preset image acquisition device and license plate recognition algorithm, vehicle information can be quickly obtained without manual input or query, thereby improving the efficiency of the battery replacement process. The acquired vehicle information can be stored in a preset vehicle information database to facilitate subsequent management and query, and can also provide data support for other systems or applications. This solution can adapt to different types of electric vehicles to be replaced, including vehicles of different brands, models and appearances, and has strong adaptability.

[0009] In one implementation of the present application, the license plate information of the electric vehicle to be replaced is obtained, specifically including: after the electric vehicle to be replaced enters the entrance channel of the battery replacement station, matching the corresponding reservation information in the reservation system based on the reservation code of the client; wherein the reservation information is uploaded by the client through the reservation system; the reservation information includes: license plate information, vehicle information; when it is determined that the corresponding reservation information is matched, the vehicle information of the electric vehicle to be replaced is obtained based on the reservation information; when it is determined that the corresponding reservation information is not matched, a vehicle information reporting code is issued, so that the client enters the vehicle information reporting page based on the vehicle information reporting code, and obtains the vehicle information of the electric vehicle to be replaced through the vehicle information reporting page.

[0010] The embodiment of the present application can quickly obtain the vehicle information of the electric vehicle to be replaced by matching the corresponding reservation information in the reservation system through the reservation code of the client, without manual input or query, thereby improving the efficiency of the battery replacement process. By matching the reservation information and the vehicle information filling page of the reservation system to obtain vehicle information, human errors or cheating can be avoided, and the accuracy and reliability of the information can be improved. The client can enter the reservation system or the vehicle information filling page through the reservation code or the vehicle information filling code to obtain the vehicle information, which is convenient for user operation. When it is determined that the corresponding reservation information is not matched, the vehicle information filling code is issued to ensure that only authorized users can obtain the vehicle information, thereby improving safety. This solution can adapt to different types of electric vehicles to be replaced, including vehicles of different brands, models and appearances, and has strong adaptability. At the same time, the vehicle information filling page can be designed and adjusted according to actual needs to meet different needs.

[0011] In one implementation of the present application, based on the vehicle information of the electric vehicle to be replaced, the battery swap station is queried for a matching battery swap station that meets the battery swap requirements, specifically including: based on the vehicle model and battery locking mechanism type of the electric vehicle to be replaced, determining an adaptable battery swap station with matching battery swap equipment in the battery swap station; determining whether the adaptable battery swap station supports the battery type of the electric vehicle to be replaced, and if it supports the battery type of the electric vehicle to be replaced, determining the adaptable battery swap station as the battery swap station to be matched.

[0012] The embodiment of the present application determines the adapted battery swapping station by the vehicle model and the type of battery locking mechanism, which can more accurately match the appropriate station and avoid battery swap failure or safety hazards caused by information mismatch. Through preset algorithms and rules, the adapted battery swapping station can be quickly determined, and multiple battery types are supported, thereby improving the efficiency of the battery swapping process. Since the appropriate station can be quickly matched, the waiting time of users at the battery swapping station can be reduced, and the user experience can be improved. By optimizing the matching algorithm and rules, the number of idle stations in the battery swapping station can be reduced, the utilization rate of the stations can be increased, and thus the operating costs can be reduced. This solution can ensure that only qualified adapted stations will be selected as stations to be matched, thereby improving the safety of the battery swapping process. This solution can be expanded and support more types of electric vehicles and battery types through software and algorithm upgrades, facilitating subsequent maintenance and updates.

[0013] In one implementation of the present application, based on the battery swapping progress of each battery swapping station to be matched, the battery swapping station to be applied is determined, specifically including: obtaining the battery swapping progress of the current battery swapping vehicle at each battery swapping station to be matched and the queue information of the queued vehicles; based on the battery swapping progress of the current battery swapping vehicle, determining the current working time corresponding to the current battery swapping vehicle, and based on the queue information of the queued vehicles, calculating the future working time of the battery swapping station to be matched; based on the current working time and the future working time, determining the waiting working time of each battery swapping station to be matched, and based on the waiting working time of each battery swapping station to be matched, determining the battery swapping station to be applied.

[0014] By obtaining the battery swapping progress and queuing information of each battery swapping station to be matched, the embodiment of the present application can understand the working status and future needs of each station, thereby optimizing resource allocation, so that the battery swapping station can allocate stations and equipment more reasonably and improve operational efficiency. By calculating the waiting time of each battery swapping station to be matched, the demand for future stations can be predicted, so that planning and scheduling can be carried out in advance, waiting time and idle time can be reduced, and the efficiency of the battery swapping process can be improved. By optimizing resource allocation and reducing idle time, the operating cost of the battery swapping station can be reduced and the economic benefits can be improved. This solution can ensure that the selection of the battery swapping station to be used is based on the actual working conditions and future needs of each station, thereby avoiding the impact of human factors and misoperation on safety. By obtaining the battery swapping progress and status information of each battery swapping station to be matched, it is possible to monitor and manage the battery swapping station, discover and handle problems in a timely manner, and improve operational efficiency and reliability.

[0015] In one implementation of the present application, the power swapping stations in the power swapping station are arranged in an array; based on the waiting working time of each power swapping station to be matched, the power swapping stations to be applied are determined, specifically including: determining whether the number of power swapping stations to be matched corresponding to the shortest waiting working time is greater than or equal to 2; when it is determined that the number is greater than or equal to 2, determining the array arrangement position of the power swapping stations to be matched corresponding to each shortest waiting working time in the power swapping station; based on the array arrangement position, the power swapping stations to be applied are determined by preset row and column order rules; when it is determined that the number is less than 2, determining the power swapping stations to be matched corresponding to the shortest waiting working time as the power swapping stations to be applied.

[0016] The embodiment of the present application can ensure that the selected station has a relatively short working time and a lower load by comparing the waiting working time of each power swap station to be matched and selecting the station with the shortest waiting working time as the power swap station to be applied, thereby improving the stability and reliability of the power swap process. When it is determined that the number of power swap stations to be matched corresponding to the shortest waiting working time is greater than or equal to 2, by analyzing the array arrangement position of the power swap stations to be matched corresponding to each shortest waiting working time in the power swap station, the station closest to the user or most convenient can be further selected as the power swap station to be applied, thereby reducing the user's waiting time and driving distance and improving the efficiency of the power swap process. By selecting the power swap station to be applied based on the array arrangement position, the user's search time and waiting time in the power swap station can be reduced, and the user experience can be improved. When it is determined that the number of power swap stations to be matched corresponding to the shortest waiting working time is less than 2, the power swap station to be matched corresponding to the shortest waiting working time is selected as the power swap station to be applied, which can avoid the cost increase caused by selecting multiple stations, thereby reducing operating costs. By obtaining the working time and status information of each battery swapping station to be matched, it is possible to monitor and manage the battery swapping station, discover and handle problems in a timely manner, and improve operational efficiency and reliability.

[0017] In one implementation of the present application, a movement trajectory of an electric vehicle to be battery-swapped to a battery-swapped station to be used is generated, specifically including: obtaining the movement trajectory and real-time movement position of each battery-swapped electric vehicle in the current battery-swapped station; wherein, the movement trajectory of each battery-swapped electric vehicle in the current battery-swapped station includes: the movement trajectory of each battery-swapped electric vehicle in the current battery-swapped station to the battery-swapped station and the movement trajectory of each battery-swapped electric vehicle out of the station; based on the movement trajectory and real-time movement position of each battery-swapped electric vehicle in the current battery-swapped station, the movement trajectory of the electric vehicle to be battery-swapped to the battery-swapped station to be used is calculated through a preset path planning model.

[0018] The embodiment of the present application can predict and judge the risks and obstacles that may be encountered during the movement process in advance by obtaining the movement trajectory of the electric vehicle to be replaced to the battery replacement station to be applied, so as to take corresponding measures in advance to avoid the occurrence of safety accidents and improve safety. Based on the preset path planning model, various factors can be comprehensively considered, such as the driving speed of the electric vehicle, the working status of the battery replacement station, road congestion, etc., so as to optimize the movement trajectory of the electric vehicle to be replaced to the battery replacement station to be applied, and improve the rationality and efficiency of path planning. By optimizing path planning and reducing the driving distance, the efficiency of the battery replacement process can be improved, and the waiting time and driving time of users in the battery replacement station can be reduced. After obtaining the movement trajectory, the user can be guided to reach the battery replacement station to be applied according to the optimal path by sending the movement trajectory to the vehicle terminal of the electric vehicle to be replaced, which is convenient for user operation. This solution can adapt to different types of electric vehicles to be replaced and different battery replacement station environments, including different road conditions, building layouts, etc., and has strong adaptability. By obtaining the movement trajectory and real-time movement position of each battery replacement electric vehicle, it is possible to monitor and manage the battery replacement station, discover and handle problems in a timely manner, and improve operational efficiency and reliability.

[0019] In one implementation of the present application, the method also includes: when the electric vehicle to be replaced moves towards the battery replacement station to be used based on the moving trajectory to the battery replacement station to be used, real-time detection of vehicles and pedestrians within a preset range to determine whether traffic will be blocked; when it is determined that traffic will be blocked, based on the path planning model, real-time updating of the moving trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and resending the updated moving trajectory to the on-board terminal of the electric vehicle to be replaced.

[0020] The embodiment of the present application detects vehicles and pedestrians within a preset range in real time to determine whether traffic will be blocked, and can timely discover and deal with potential safety hazards to avoid safety accidents caused by traffic jams or people mistakenly entering the battery swap station. In the case of determining that traffic will be blocked, the movement trajectory of the electric vehicle to be replaced to the battery swap station to be applied is updated in real time based on the path planning model, and the path can be dynamically adjusted and optimized to avoid congestion and collision, and improve the efficiency and safety of the battery swap process. Resending the updated movement trajectory to the vehicle terminal of the electric vehicle to be replaced can allow users to understand the latest path planning situation in a timely manner, and make corresponding adjustments and operations according to the instructions, thereby improving user experience and the smoothness of the battery swap process. This solution can adapt to different types of electric vehicles to be replaced and different battery swap station environments, including different road conditions, building layouts, etc., and has strong adaptability. At the same time, the preset range can be adjusted and optimized according to actual conditions to meet different needs. By detecting the traffic conditions of vehicles and pedestrians in real time, it is possible to monitor and manage the battery swap station, discover and handle problems in a timely manner, and improve operational efficiency and reliability.

[0021] On the second aspect, an embodiment of the present application also provides a queuing guidance device for electric vehicle battery replacement, characterized in that the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can: obtain vehicle information of the electric vehicle to be replaced when the electric vehicle to be replaced enters the battery replacement station; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for a battery replacement station that meets the battery replacement requirements, and determine the battery replacement station to be used based on the battery replacement progress of each battery replacement station to be matched; generate a movement trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and send the movement trajectory to the vehicle-mounted terminal of the electric vehicle to be replaced.

[0022] On the third aspect, the embodiment of the present application also provides a non-volatile computer storage medium for queuing guidance of battery replacement for electric vehicles, storing computer executable instructions, characterized in that the computer executable instructions are set to: when the electric vehicle to be replaced enters the battery replacement station, obtain the vehicle information of the electric vehicle to be replaced; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for the battery replacement station that meets the battery replacement requirements, and determine the battery replacement station to be used based on the battery replacement progress of each battery replacement station to be matched; generate a movement trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced.

[0023] The embodiments of the present application provide a queuing guidance method, device and medium for electric vehicle battery replacement. By scanning the license plate or reservation code, etc., vehicle information and battery information can be obtained, so as to quickly identify the vehicle information; by obtaining the station queue information of the battery replacement station, etc., the operating status and usage of each station can be understood in real time; by matching the best battery replacement station, the user's waiting time can be reduced and the battery replacement efficiency can be improved; by obtaining the moving trajectory from the current position to the best battery replacement station and displaying it to the user, the user can be guided to quickly reach the designated station; by selecting emptier columns by column and then matching them in combination with the battery replacement progress of each station, resources can be used more reasonably; by avoiding other vehicles and pedestrians in the path according to real-time station status information, safety and efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0025] Figure 1 A flow chart of a queuing guidance method for electric vehicle battery replacement provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of the internal structure of a queuing guidance device for battery replacement of electric vehicles provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0028] The embodiments of the present application provide a queue guidance method, device and medium for electric vehicle battery replacement, which are used to solve the following technical problems: there are a large number of vehicles in existing battery replacement stations, and there are often queues, resulting in poor user experience.

[0029] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0030] Figure 1 A flow chart of a queuing guidance method for electric vehicle battery replacement provided in an embodiment of the present application. Figure 1 As shown, the embodiment of the present application provides a queuing guidance method for electric vehicle battery replacement, which specifically includes the following steps:

[0031] Step 101: When the electric vehicle to be replaced enters the battery replacement station, obtain the vehicle information of the electric vehicle to be replaced.

[0032] First of all, it should be noted that the vehicle information of this application at least includes: vehicle model, battery locking mechanism type, and battery type.

[0033] In one embodiment of the present application, when the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced can be obtained in one of the following ways:

[0034] After the electric vehicle to be replaced enters the access channel of the battery swap station, the preset image acquisition device in the access channel of the battery swap station will sense the entry of the vehicle and automatically start the image acquisition function. The image acquisition device obtains the vehicle image including the license plate area through high-definition cameras and other devices. This image can include license plate information from different angles such as the front, rear or side of the vehicle. The license plate recognition algorithm preset in the access channel of the battery swap station will analyze and recognize the acquired vehicle image to accurately extract the license plate information. This process can be achieved through computer vision technology and deep learning technology. Based on the license plate information, the vehicle information of the electric vehicle to be replaced is queried and obtained in the preset vehicle information database. This vehicle information database can store the vehicle information of various electric vehicles, and the corresponding vehicle information can be quickly found by using the license plate information as an index. The acquired vehicle information may include detailed information such as vehicle model, battery locking mechanism type, battery type, etc. This information will be used for subsequent battery swapping process and operation management.

[0035] It should be noted that the above-mentioned method of obtaining vehicle information of an electric vehicle to be replaced mainly relies on tools and resources such as image acquisition equipment, license plate recognition algorithms, and vehicle information databases. Through these tools and resources, the vehicle information of the electric vehicle to be replaced can be obtained quickly and accurately, improving the efficiency and safety of the battery replacement process. At the same time, this process can also be optimized and expanded according to actual needs, such as adding more image acquisition equipment and license plate recognition algorithms to improve the accuracy and reliability of the information.

[0036] In one embodiment of the present application, when the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced can also be obtained in another way as follows:

[0037] The client uploads the reservation information through the reservation system. The reservation information includes license plate information, vehicle information, etc. After the electric vehicle to be replaced enters the access channel of the battery replacement station, it is matched in the reservation system based on the reservation code of the client to find the corresponding reservation information. The reservation code can be a QR code, RFID tag or other identification code. If the corresponding reservation information is matched, the vehicle information of the electric vehicle to be replaced can be obtained based on the reservation information. This information may include battery type, battery power, vehicle model, etc. If the corresponding reservation information is not matched in the reservation system, the system will send the vehicle information filling code to the client. The client enters the vehicle information filling page according to the vehicle information filling code. On the page, the user needs to enter or select vehicle information, such as license plate number, vehicle model, etc. After the user submits the vehicle information, the system will verify and confirm it. If the information is valid, the obtained vehicle information will be used for the subsequent battery replacement process.

[0038] It should be noted that the above process of obtaining the license plate information of the electric vehicle to be replaced mainly depends on the operation of the reservation system and the client. Through the interaction between the reservation system and the client, the license plate information and vehicle information of the electric vehicle to be replaced can be obtained quickly and accurately, improving the efficiency and safety of the battery replacement process. At the same time, this process can also be optimized and expanded according to actual needs, such as adding more reservation codes and vehicle information filling pages to improve the accuracy and reliability of the information.

[0039] Step 102: Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for matching battery replacement stations that meet the battery replacement requirements, and determine the battery replacement stations to be used based on the battery replacement progress of each battery replacement station to be matched.

[0040] In one embodiment of the present application, after obtaining the vehicle information of the electric vehicle to be replaced, firstly, based on the vehicle information of the electric vehicle to be replaced, the battery replacement station is queried for a matching battery replacement station that meets the battery replacement requirements.

[0041] Specifically, the vehicle model and battery locking mechanism type of the electric vehicle to be replaced are obtained. This information will be used to determine the adapted battery swap station. According to the vehicle model and the type of battery locking mechanism, the adapted battery swap stations with adapted battery swap equipment are screened out in the battery swap station. These adapted battery swap stations are equipped with battery locking mechanisms and battery replacement equipment that match the electric vehicles to be replaced. Determine whether the adapted battery swap station supports the battery type of the electric vehicle to be replaced. If the adapted battery swap station supports the battery type of the electric vehicle to be replaced, then this adapted battery swap station will be determined as the battery swap station to be matched. If the adapted battery swap station does not support the battery type of the electric vehicle to be replaced, other possible adapted battery swap stations will continue to be screened in the battery swap station until an adapted battery swap station that supports the battery type of the electric vehicle to be replaced is found or all adapted battery swap stations are excluded. After determining the battery swap station to be matched, this information will be sent to the client so that the client can perform subsequent battery swap operations based on this information.

[0042] Furthermore, based on the battery swapping progress of each battery swapping station to be matched, the battery swapping station to be used is determined.

[0043] Specifically, the battery swapping progress of the current battery swapping vehicle at each battery swapping station to be matched and the queue information of the queued vehicles are obtained; based on the battery swapping progress of the current battery swapping vehicle, the current working time corresponding to the current battery swapping vehicle is determined, and based on the queue information of the queued vehicles, the future working time of the battery swapping station to be matched is calculated; based on the current working time and the future working time, the waiting working time of each battery swapping station to be matched is determined, and based on the waiting working time of each battery swapping station to be matched, the battery swapping station to be applied is determined.

[0044] For example, there is a battery swap station to be matched, and there is currently an electric car swapping and two electric cars waiting in line. The total battery swap time of the current electric car is ten minutes, and the current swap progress is five minutes, so the current working time is five minutes, and the two electric cars in line also need ten minutes each, so the corresponding future working time is twenty minutes, and the waiting working time of the station to be matched is twenty-five minutes. By determining the waiting working time of each battery swap station to be matched in this way, it is determined which battery swap station to be matched has the shortest waiting working time, which is used as the basis for determining the battery swap station to be used.

[0045] It should be noted that the embodiment of the present application is directed to a battery swap station in which the battery swap stations are arranged in an array.

[0046] Therefore, further, after determining the power swapping station to be matched corresponding to the shortest waiting working time, determine whether the number of power swapping stations to be matched corresponding to the shortest waiting working time is greater than or equal to 2; when it is determined that the number is greater than or equal to 2, determine the array arrangement position of the power swapping stations to be matched corresponding to each shortest waiting working time in the power swapping station; based on the array arrangement position, determine the power swapping station to be applied through the preset row and column order rules; when it is determined that the number is less than 2, determine the power swapping station to be matched corresponding to the shortest waiting working time as the power swapping station to be applied.

[0047] In one embodiment of the present application, the row and column order rules can be set according to the specific battery swap station scenario, and the present application does not limit this.

[0048] Step 103: Generate a movement trajectory of the electric vehicle to be replaced with a battery to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced with a battery.

[0049] In one embodiment of the present application, after the battery swapping station to be used is determined, a movement trajectory of the electric vehicle to be replaced to the battery swapping station to be used is generated.

[0050] Specifically, the moving trajectory and real-time moving position of each battery-swap electric vehicle in the current battery-swap station are obtained; wherein, the moving trajectory of each battery-swap electric vehicle in the current battery-swap station includes: the moving trajectory of each battery-swap electric vehicle in the current battery-swap station to the battery-swap station and the moving trajectory of each battery-swap electric vehicle out of the station; based on the moving trajectory and real-time moving position of each battery-swap electric vehicle in the current battery-swap station, the moving trajectory of the electric vehicle to be battery-swapped to the battery-swap station to be used is calculated through a preset path planning model.

[0051] It should be noted that the path planning model of the present application can be obtained through various existing algorithms or model training, and the present application does not limit this. The specific method selected depends on factors such as application scenarios, computing resources, and data scale.

[0052] Furthermore, after generating a movement trajectory of the electric vehicle to be replaced with a battery to be used at the battery replacement station, the movement trajectory is sent to the on-board terminal of the electric vehicle to be replaced with a battery through the Internet of Things.

[0053] In one embodiment of the present application, the method also includes: when the electric vehicle to be replaced moves towards the battery replacement station to be applied based on the moving trajectory to the battery replacement station to be applied, vehicles and pedestrians within a preset range are detected in real time by means of a vehicle-mounted laser radar to determine whether traffic will be blocked; when it is determined that traffic will be blocked, based on the path planning model, the moving trajectory of the electric vehicle to be replaced to the battery replacement station to be applied is updated in real time, and the updated moving trajectory is resent to the vehicle-mounted terminal of the electric vehicle to be replaced.

[0054] The above is an embodiment of the method proposed in this application. Based on the same inventive concept, this application embodiment also provides a queue guidance device for electric vehicle battery replacement, and its structure is as follows: Figure 2 shown.

[0055] Figure 2 A schematic diagram of the internal structure of a queuing guidance device for electric vehicle battery replacement provided in an embodiment of the present application. Figure 2 As shown, the device includes:

[0056] at least one processor 201;

[0057] and, a memory 202 communicatively connected to the at least one processor;

[0058] The memory 202 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 201 to enable at least one processor 201 to:

[0059] When the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced is obtained; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type;

[0060] Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement stations for the battery replacement stations that meet the battery replacement requirements, and determine the battery replacement stations to be used based on the battery replacement progress of each battery replacement station to be matched;

[0061] Generate a movement trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced.

[0062] Some embodiments of the present application provide corresponding Figure 1 A non-volatile computer storage medium for queuing guidance of electric vehicle battery replacement, storing computer executable instructions, wherein the computer executable instructions are set as follows:

[0063] When the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced is obtained; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type;

[0064] Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement stations for the battery replacement stations that meet the battery replacement requirements, and determine the battery replacement stations to be used based on the battery replacement progress of each battery replacement station to be matched;

[0065] Generate a movement trajectory of the electric vehicle to be replaced to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced.

[0066] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0067] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0068] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0069] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0072] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0073] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0074] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0075] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0076] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A queuing guidance method for electric vehicle battery replacement, characterized in that: The method comprises: When the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced is obtained; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for the battery replacement station that meets the battery replacement requirements, and determine the battery replacement station to be used based on the battery replacement progress of each battery replacement station to be matched; Generate a movement trajectory of the electric vehicle to be replaced with a battery to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced with a battery.

2. The queuing guidance method for electric vehicle battery replacement according to claim 1 is characterized in that: Obtaining vehicle information of the electric vehicle to be replaced, specifically including: After the electric vehicle to be replaced enters the entrance passage of the battery replacement station, a vehicle image including the license plate area is obtained based on an image acquisition device preset in the entrance passage of the battery replacement station; Based on a preset license plate recognition algorithm, the license plate recognition is performed on the vehicle image to obtain the license plate information of the electric vehicle to be replaced; Based on the license plate information, the vehicle information of the electric vehicle to be replaced is obtained from a preset vehicle information database.

3. The queuing guidance method for electric vehicle battery replacement according to claim 1 is characterized in that: Obtaining the license plate information of the electric vehicle to be replaced, specifically including: After the electric vehicle to be replaced enters the access channel of the battery replacement station, the corresponding reservation information is matched in the reservation system based on the reservation code of the client; wherein the reservation information is uploaded by the client through the reservation system; the reservation information includes: license plate information, vehicle information; When it is determined that the corresponding reservation information is matched, the vehicle information of the electric vehicle to be replaced is obtained based on the reservation information; When it is determined that no corresponding reservation information is matched, a vehicle information reporting code is issued so that the client enters the vehicle information reporting page based on the vehicle information reporting code, and obtains the vehicle information of the electric vehicle to be replaced through the vehicle information reporting page.

4. The queuing guidance method for electric vehicle battery replacement according to claim 1, characterized in that: Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for a matching battery replacement station that meets the battery replacement requirements, specifically including: Based on the vehicle model and battery locking mechanism type of the electric vehicle to be replaced, determining an adapted battery replacement station with adapted battery replacement equipment in the battery replacement station; Determine whether the adapted battery-swapping station supports the battery type of the electric vehicle to be replaced, and if it supports the battery type of the electric vehicle to be replaced, determine the adapted battery-swapping station as the battery-swapping station to be matched.

5. The queuing guidance method for electric vehicle battery replacement according to claim 1 is characterized in that: Based on the battery swap progress of each battery swap station to be matched, determine the battery swap station to be used, including: Obtain the battery swap progress of the current battery swapping vehicle at each battery swapping station to be matched and the queue information of the queued vehicles; Based on the battery swapping progress of the current battery swapping vehicle, determine the current working time corresponding to the current battery swapping vehicle, and based on the queue information of the queued vehicles, calculate the future working time of the battery swapping station to be matched; Based on the current working time and the future working time, the waiting working time of each power swapping station to be matched is determined, and based on the waiting working time of each power swapping station to be matched, the power swapping station to be applied is determined.

6. The queuing guidance method for electric vehicle battery replacement according to claim 5, characterized in that: The battery swapping stations in the battery swapping station are arranged in an array; Based on the waiting working time of each battery swapping station to be matched, determining the battery swapping station to be applied specifically includes: Determine whether the number of power-swapping stations to be matched corresponding to the shortest waiting working time is greater than or equal to 2; When it is determined that the number is greater than or equal to 2, the array arrangement position of the battery swapping stations to be matched corresponding to the shortest waiting working time in the battery swapping station is determined; Based on the array arrangement position, the power exchange station to be used is determined by a preset row and column order rule; When it is determined that the number is less than 2, the battery swapping station to be matched corresponding to the shortest waiting working time is determined as the battery swapping station to be applied.

7. The queuing guidance method for electric vehicle battery replacement according to claim 1, characterized in that: Generating a moving trajectory of the electric vehicle to be replaced to the replacement station to be used specifically includes: Obtain the movement trajectory and real-time movement position of each battery-swap electric vehicle in the current battery-swap station; wherein the movement trajectory of each battery-swap electric vehicle in the current battery-swap station includes: the movement trajectory of each battery-swap electric vehicle in the current battery-swap station to the battery-swap station and the movement trajectory of each battery-swap electric vehicle out of the station; Based on the moving trajectory and real-time moving position of each battery-swap electric vehicle in the current battery-swap station, the moving trajectory of the electric vehicle to be battery-swap to the battery-swap station to be used is calculated through a preset path planning model.

8. The queuing guidance method for electric vehicle battery replacement according to claim 7, characterized in that: The method further comprises: When the electric vehicle to be replaced moves toward the replacement station to be used based on the moving trajectory to the replacement station to be used, vehicles and pedestrians within a preset range are detected in real time to determine whether the passage will be blocked; When it is determined that traffic will be blocked, the movement trajectory of the electric vehicle to be replaced to the battery replacement station is updated in real time based on the path planning model, and the updated movement trajectory is resent to the on-board terminal of the electric vehicle to be replaced.

9. A queuing guidance device for electric vehicle battery replacement, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: When the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced is obtained; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for the battery replacement station that meets the battery replacement requirements, and determine the battery replacement station to be used based on the battery replacement progress of each battery replacement station to be matched; Generate a movement trajectory of the electric vehicle to be replaced with a battery to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced with a battery.

10. A non-volatile computer storage medium for queuing guidance of electric vehicle battery replacement, storing computer executable instructions, characterized in that: The computer executable instructions are configured to: When the electric vehicle to be replaced enters the battery replacement station, the vehicle information of the electric vehicle to be replaced is obtained; wherein the vehicle information includes: vehicle model, battery locking mechanism type, battery type; Based on the vehicle information of the electric vehicle to be replaced, query the battery replacement station for the battery replacement station that meets the battery replacement requirements, and determine the battery replacement station to be used based on the battery replacement progress of each battery replacement station to be matched; Generate a movement trajectory of the electric vehicle to be replaced with a battery to the battery replacement station to be used, and send the movement trajectory to the on-board terminal of the electric vehicle to be replaced with a battery.

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