Method, System, Device and Medium for Identifying the Number of Vehicles Queuing for Battery Replacement

Abstract

The present invention discloses a method, system, device and medium for identifying the number of battery swapping queuing vehicles. The method includes: obtaining the queuing vehicle screening range of a target battery swapping station; obtaining the vehicle information of electric vehicles; when it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping conditions, identifying the electric vehicle as a queuing vehicle of the target battery swapping station; and determining the queuing number based on the identified queuing vehicles. By automatically obtaining the queuing vehicle screening range of the target battery swapping station and the vehicle position information of electric vehicles, and using the relationship between the vehicle position information and the queuing vehicle screening range as the identification basis, the present invention realizes the automatic identification of queuing vehicles, and further can determine the queuing number based on the identified queuing vehicles, reducing the workload of the staff in the battery swapping station and improving the identification efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of battery swapping, and particularly to a method, system, device and medium for identifying the number of queuing vehicles for battery swapping. Background Art

[0002] New energy vehicles such as electric vehicles can effectively alleviate air pollution and are also the main direction of future automobile development. A battery swapping station is a place for quickly and efficiently replenishing electric energy for new energy vehicles. The battery swapping station can not only save the requirements of new energy vehicles for charging stations / piles and other equipment, but also improve the utilization rate of the equipment, and can meet the needs of new energy vehicle drivers to the greatest extent.

[0003] In the battery swapping station, full-automatic battery swapping and fast charging services can be provided for electric vehicles. With the increasing demand for electric vehicles, the number of battery swapping users is gradually increasing, especially for taxis. In order to save time costs, they prefer efficient battery swapping services. Due to the limited number of battery swapping stations and batteries, it may be necessary for battery swapping users to queue in the battery swapping station for a certain period of time before the electric vehicle can be swapped with a battery.

[0004] Currently, the number of queuing battery swapping vehicles is generally manually counted by the employees of the battery swapping station, resulting in a waste of human resources, an increase in the cost of the battery swapping station, and low work efficiency. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the defect that the number of queuing battery swapping vehicles in the prior art is manually counted, resulting in a waste of human resources and a reduction in efficiency, and to provide a method, system, device and medium for identifying the number of queuing vehicles for battery swapping.

[0006] The present invention solves the above technical problem by the following technical solutions:

[0007] According to an embodiment of the present invention, there is provided a method for identifying the number of queuing vehicles for battery swapping, including:

[0008] Obtaining the queuing vehicle screening range of the target battery swapping station;

[0009] Obtaining the vehicle information of the electric vehicle;

[0010] When it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping conditions, identifying the electric vehicle as a queuing vehicle of the target battery swapping station;

[0011] Determining the queuing number according to the identified queuing vehicles.

[0012] In this solution, by automatically obtaining the queuing vehicle screening range of the target battery swapping station and the vehicle position information of electric vehicles, and using the relationship between the vehicle position information and the queuing vehicle screening range as the identification basis, the automatic identification of queuing vehicles is realized. Furthermore, the queuing quantity can be determined based on the identified queuing vehicles, reducing the workload of the staff at the battery swapping station and improving the identification efficiency.

[0013] Optionally, the obtaining of the queuing vehicle screening range of the target battery swapping station includes:

[0014] Setting a virtual fence according to the position of the target battery swapping station, and taking the coverage range of the virtual fence as the queuing vehicle screening range of the target battery swapping station;

[0015] Or,

[0016] Obtaining the area where the distance from the target battery swapping station is less than or equal to a preset distance as the queuing vehicle screening range of the target battery swapping station.

[0017] In this solution, the queuing vehicle screening range is determined by setting a virtual fence or a preset distance area, thus effectively screening out the area range and improving the accuracy of identifying queuing vehicles.

[0018] Optionally, the obtaining of the vehicle information of the electric vehicle includes:

[0019] Obtaining the vehicle information of the electric vehicle from the in-vehicle embedded system of the electric vehicle;

[0020] Or,

[0021] Obtaining the vehicle information of the electric vehicle from a third-party cloud; the vehicle information of the third-party cloud is sourced from the in-vehicle embedded system of the electric vehicle.

[0022] In this solution, the vehicle information can be conveniently and quickly obtained through the in-vehicle embedded system or the third-party cloud, thus ensuring the accuracy and security of vehicle data.

[0023] Optionally, the vehicle information includes the vehicle position and the driving speed; when it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping condition, identifying the electric vehicle as the queuing vehicle of the target battery swapping station includes:

[0024] When the vehicle position is within the queuing vehicle screening range and the driving speed is lower than the preset speed, identifying the electric vehicle as the queuing vehicle of the target battery swapping station.

[0025] In this solution, the driving speed of the vehicle is used as a battery swapping condition to intelligently identify queuing vehicles, thus improving the accuracy of vehicle identification.

[0026] Optionally, the vehicle information includes the remaining power of the vehicle; when the vehicle position is within the queuing vehicle screening range and the driving speed is lower than the preset speed, identifying the electric vehicle as a queuing vehicle for the target swapping station includes:

[0027] When the vehicle position is within the queuing vehicle screening range, the driving speed is lower than the preset speed, and the remaining power of the vehicle is lower than the preset power, identifying the electric vehicle as a queuing vehicle for the target swapping station.

[0028] In this solution, the driving speed and the remaining power of the vehicle are used as swapping conditions to intelligently identify queuing vehicles, making the swapping conditions more comprehensive, thereby further improving the accuracy of vehicle identification.

[0029] Optionally, determining the queuing quantity according to the identified queuing vehicles includes:

[0030] Determining the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target swapping station within the statistical time period according to the identification time of the queuing vehicle quantity;

[0031] Determining the current queuing quantity of the target swapping station according to the queuing vehicle quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target swapping station.

[0032] In this solution, by comprehensively considering the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity to determine the current queuing quantity of the target swapping station, the data reliability and accuracy are improved.

[0033] Optionally, determining the current queuing quantity of the target swapping station according to the queuing vehicle quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target swapping station includes:

[0034] Determining the current queuing quantity of the target swapping station according to the following formula:

[0035] Queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * (ROUND(Statistical time period / Queuing vehicle quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing vehicle quantity update period, 0), 0).

[0036] In this solution, the queuing quantity is accurately estimated by the three-point method calculation, thereby effectively reducing the calculation error and further improving the data reliability and accuracy.

[0037] Optionally, the method further includes:

[0038] Obtaining the queuing quantity recognized according to the environmental image of the vehicle queuing area of the battery swapping station;

[0039] Using the queuing quantity obtained through image recognition to verify the queuing quantity determined by positioning.

[0040] In this solution, the queuing quantity recognized through the environmental image is used to verify the queuing quantity recognized according to the vehicle screening range and vehicle information, thereby further improving the data accuracy.

[0041] According to an embodiment of the present invention, a system for recognizing the quantity of queuing battery swapping vehicles is provided, including:

[0042] An information acquisition module, configured to acquire the screening range of queuing vehicles of the target battery swapping station, and also configured to acquire the vehicle information of electric vehicles;

[0043] A queuing vehicle recognition module, configured to recognize the electric vehicle as a queuing vehicle of the target battery swapping station when it is determined according to the vehicle information that the electric vehicle is within the screening range of the queuing vehicles and meets the battery swapping conditions;

[0044] A queuing quantity determination module, configured to determine the queuing quantity according to the recognized queuing vehicles.

[0045] In this solution, by automatically acquiring the screening range of queuing vehicles of the target battery swapping station and the vehicle position information of electric vehicles, and taking the relationship between the vehicle position information and the screening range of queuing vehicles as the recognition basis, automatic recognition of queuing vehicles is achieved. Furthermore, the queuing quantity can be determined based on the recognized queuing vehicles, reducing the workload of the staff at the battery swapping station and improving the recognition efficiency.

[0046] Optionally, the information acquisition module is configured to:

[0047] Set a virtual fence according to the position of the target battery swapping station, and use the coverage range of the virtual fence as the screening range of queuing vehicles of the target battery swapping station;

[0048] Or,

[0049] Acquire the area within a distance less than or equal to a preset distance from the target battery swapping station as the screening range of queuing vehicles of the target battery swapping station.

[0050] In this solution, the screening range of queuing vehicles is determined by setting a virtual fence or a preset distance area, thereby effectively screening out the area range and improving the accuracy of recognizing queuing vehicles.

[0051] Optionally, the information acquisition module is configured to:

[0052] Obtain the vehicle information of the electric vehicle from the in-vehicle embedded system of the electric vehicle;

[0053] Or,

[0054] Obtain the vehicle information of the electric vehicle from a third-party cloud; the vehicle information of the third-party cloud is sourced from the in-vehicle embedded system of the electric vehicle.

[0055] In this solution, the vehicle information can be conveniently and quickly obtained through the in-vehicle embedded system or the third-party cloud, thus ensuring the accuracy and security of vehicle data.

[0056] Optionally, the vehicle information includes vehicle location and driving speed;

[0057] The queuing vehicle identification module is configured to:

[0058] When the vehicle location is within the queuing vehicle screening range and the driving speed is lower than a preset speed, identify the electric vehicle as a queuing vehicle for the target swapping station.

[0059] In this solution, the driving speed of the vehicle is used as a swapping condition to intelligently identify queuing vehicles, thereby improving the accuracy of vehicle identification.

[0060] Optionally, the vehicle information includes the remaining battery power of the vehicle;

[0061] The queuing vehicle identification module is configured to:

[0062] When the vehicle location is within the queuing vehicle screening range, the driving speed is lower than a preset speed, and the remaining battery power of the vehicle is lower than a preset battery power, identify the electric vehicle as a queuing vehicle for the target swapping station.

[0063] In this solution, the driving speed and the remaining battery power of the vehicle are used as swapping conditions to intelligently identify queuing vehicles, making the swapping conditions more comprehensive, thereby further improving the accuracy of vehicle identification.

[0064] Optionally, the queuing vehicle determination module is configured to:

[0065] Determine the maximum queuing vehicle number, the minimum queuing vehicle number, and the average queuing vehicle number of the target swapping station within a statistical time period according to the identification time of the queuing vehicle number;

[0066] Update the queuing vehicle number period, the maximum queuing vehicle number, the minimum queuing vehicle number, and the average queuing vehicle number of the target swapping station, and determine the current queuing number of the target swapping station.

[0067] In this solution, the current queuing quantity of the target swapping station is determined by comprehensively considering the maximum number of queuing vehicles, the minimum number of queuing vehicles, and the average number of queuing vehicles, thereby improving the data reliability and accuracy.

[0068] Optionally, the queuing vehicle determination module is configured to:

[0069] Determine the current queuing quantity of the target swapping station according to the following formula:

[0070] Queuing quantity = ROUND((Maximum number of queuing vehicles + Minimum number of queuing vehicles + Average number of queuing vehicles * (ROUND(Statistical time period / Queuing quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing quantity update period, 0), 0).

[0071] In this solution, the queuing quantity is accurately estimated through the three-point method calculation, thereby effectively reducing the calculation error and further improving the data reliability and accuracy.

[0072] Optionally, the system further includes a queuing quantity verification module;

[0073] The queuing quantity verification module is configured to:

[0074] Obtain the queuing quantity recognized from the environmental image of the vehicle queuing area of the swapping station;

[0075] Use the queuing quantity obtained through image recognition to verify the queuing quantity determined by positioning.

[0076] In this solution, the queuing quantity recognized from the environmental image is used to verify the queuing quantity recognized according to the vehicle screening range and vehicle information, thereby further improving the data accuracy.

[0077] According to an embodiment of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the method for identifying the number of swapping queuing vehicles as described above are implemented.

[0078] According to an embodiment of the present invention, there is provided a computer-readable medium, on which a computer instruction is stored. When the computer instruction is executed by a processor, the steps of the method for identifying the number of swapping queuing vehicles as described above are implemented.

[0079] On the basis of conforming to the common knowledge in the art, the above preferred conditions can be combined arbitrarily to obtain various preferred embodiments of the present invention.

[0080] The positive and progressive effects of the present invention are as follows:

[0081] The present invention realizes the automatic identification of queuing vehicles by automatically obtaining the screening range of queuing vehicles at a target battery swapping station and the vehicle position information of electric vehicles, and using the relationship between the vehicle position information and the screening range of queuing vehicles as the identification basis. Furthermore, it can determine the queuing quantity based on the identified queuing vehicles, reducing the workload of the staff at the battery swapping station and improving the identification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] After reading the detailed description of the embodiments of the present disclosure in conjunction with the following drawings, the features and advantages of the present invention can be better understood. In the drawings, the components are not necessarily drawn to scale, and components with similar relevant characteristics or features may have the same or similar reference numerals.

[0083] Figure 1 FIG. is a schematic flowchart of a method for identifying the number of queuing vehicles for battery swapping according to an embodiment of the present invention.

[0084] Figure 2 FIG. is a schematic block diagram of a system for identifying the number of queuing vehicles for battery swapping according to another embodiment of the present invention.

[0085] Figure 3 FIG. is a schematic structural diagram of an electronic device for implementing a method for identifying the number of queuing vehicles for battery swapping according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0086] The present invention will be further described below by way of embodiments, but the present invention is not limited thereto within the scope of the described embodiments.

[0087] To overcome the above-mentioned defects existing currently, this embodiment provides a method for identifying the number of queuing vehicles for battery swapping, including: obtaining the screening range of queuing vehicles at a target battery swapping station; obtaining the vehicle information of electric vehicles; when it is determined according to the vehicle information that the electric vehicle is within the screening range of queuing vehicles and meets the battery swapping conditions, identifying the electric vehicle as a queuing vehicle at the target battery swapping station; and determining the queuing quantity based on the identified queuing vehicles.

[0088] In this embodiment, the method can be applied to a battery swapping station or the cloud, but the application scenario is not specifically limited and can be selected and adjusted according to actual needs.

[0089] In this embodiment, by automatically obtaining the screening range of queuing vehicles at a target battery swapping station and the vehicle position information of electric vehicles, and using the relationship between the vehicle position information and the screening range of queuing vehicles as the identification basis, the automatic identification of queuing vehicles is realized. Furthermore, the queuing quantity can be determined based on the identified queuing vehicles, reducing the workload of the staff at the battery swapping station and improving the identification efficiency.

[0090] Specifically, as an embodiment, such as Figure 1As shown in the figure, the method for identifying the number of battery swapping queuing vehicles provided in this embodiment mainly includes the following steps:

[0091] Step 101: Obtain the queuing vehicle screening range of the target battery swapping station.

[0092] In this step, first determine the target battery swapping station in the navigation map, and then obtain the queuing vehicle screening range of the target battery swapping station. Among them, the queuing vehicle screening range of the target battery swapping station is the range for screening the queuing vehicles of the target battery swapping station. In theory, only the vehicles located within the queuing vehicle screening range will be identified as the queuing vehicles of the target battery swapping station.

[0093] Specifically, as an embodiment, set a virtual fence in the navigation map according to the location of the target battery swapping station, and use the coverage range of the virtual fence as the queuing vehicle screening range of the target battery swapping station.

[0094] By setting the virtual fence method to determine the queuing vehicle screening range, the regional range can be effectively screened, and the accuracy of identifying queuing vehicles can be improved.

[0095] As another embodiment, obtain the area where the distance from the target battery swapping station is less than or equal to the preset distance, as the queuing vehicle screening range of the target battery swapping station. This distance can be the straight-line distance or the navigation route distance, and can be selected accordingly according to actual needs.

[0096] By setting the preset distance area method to determine the queuing vehicle screening range, the regional range can be effectively screened, and the accuracy of identifying queuing vehicles can be improved.

[0097] Step 102: Obtain the vehicle information of the vehicle.

[0098] In this step, as an embodiment, obtain the vehicle information of the electric vehicle from the in-vehicle embedded system of the electric vehicle.

[0099] As another embodiment, obtain the vehicle information of the electric vehicle from the third-party cloud. The vehicle information of the third-party cloud is derived from the in-vehicle embedded system of the electric vehicle.

[0100] The vehicle information can be conveniently and quickly obtained through the in-vehicle embedded system or the third-party cloud, so as to ensure the accuracy and security of vehicle data.

[0101] Specifically, new energy vehicles such as electric vehicles generally integrate an on-board embedded system that combines modules such as OBD (On-Board Diagnostic System), MCU (Microcontroller Unit) / CPU (Central Processing Unit), FLASH (Flash Memory), various sensors, GPS (Global Positioning System), 2G (Second Generation Mobile Communication Technology) / 3G (Third Generation Mobile Communication Technology) / 4G (Fourth Generation Mobile Communication Technology) / 5G (Fifth Generation Mobile Communication Technology), Wi-Fi (Wireless Internet) / Bluetooth, etc. This system transmits data in real time with third-party clouds such as the data cloud of the vehicle manufacturer.

[0102] In an implementable manner, the on-board embedded system can collect driving information of the electric vehicle and communicate with the outside of the electric vehicle. One implementable way of the on-board embedded system is the vehicle information and positioning transmission system (Tbox), or it can also be the vehicle control system of the electric vehicle.

[0103] As a preferred embodiment, the vehicle information of the electric vehicle at least includes the vehicle position, driving speed, and remaining vehicle power (SOC). However, the type of vehicle information is not specifically limited in this embodiment and can be selected and adjusted according to actual needs.

[0104] Step 103: Identify the vehicles located within the queuing vehicle screening range and meeting the battery swapping conditions as queuing vehicles.

[0105] In this step, as an embodiment, when the vehicle position is within the queuing vehicle screening range and the driving speed is lower than the preset speed, the electric vehicle is identified as a queuing vehicle for the target battery swapping station.

[0106] Specifically, when the collected vehicle GPS position is within the virtual fence or the distance from the center of the target battery swapping station is less than or equal to the preset distance (for example, preferably 50m), it is judged whether the driving speed of the vehicle is lower than the preset speed (for example, preferably 5km / h). If so, the vehicle can be identified as being in the queuing state currently. If not, the vehicle can be identified as a vehicle passing by the target battery swapping station.

[0107] Using the driving speed of the vehicle as a battery swapping condition to intelligently identify queuing vehicles, thereby improving the accuracy of vehicle identification.

[0108] As a preferred embodiment, in this step, when the vehicle position is within the queuing vehicle screening range, the driving speed is lower than the preset speed, and the remaining vehicle power is lower than the preset power, the electric vehicle is identified as a queuing vehicle for the target battery swapping station.

[0109] Specifically, on the basis of determining the driving speed, it is also determined whether the remaining battery power of the vehicle is lower than a preset power (for example, preferably 70%). If so, the vehicle can be identified as a queuing vehicle that needs battery replacement. If not, the vehicle can be identified as a vehicle that has completed battery replacement or other special situations.

[0110] Taking the driving speed and the remaining battery power of the vehicle as battery replacement conditions to intelligently identify queuing vehicles makes the battery replacement conditions more comprehensive, thereby further improving the accuracy of vehicle identification.

[0111] Step 104: Determine the queuing quantity of the target battery replacement station according to the identified queuing vehicles.

[0112] In this step, according to the identification time of the queuing vehicle quantity, determine the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery replacement station within the statistical time period. According to the queuing quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery replacement station, determine the current queuing quantity of the target battery replacement station.

[0113] Specifically, the target battery replacement station or the cloud can update the queuing vehicle quantity of the target battery replacement station according to the queuing vehicle quantity update period. Each queuing vehicle quantity corresponds to an identification time. In this way, according to the identification time of the queuing vehicle quantity, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery replacement station within the statistical time period can be determined. Then, according to the queuing quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery replacement station, determine the current queuing quantity of the target battery replacement station.

[0114] Among them, the statistical time period can be the battery replacement time period.

[0115] In an implementable manner, the current queuing quantity of the target battery replacement station is determined according to the following formula:

[0116] Queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * (ROUND(Statistical time period / Queuing vehicle quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing vehicle quantity update period, 0), 0).

[0117] For example, assume that the statistical time period, i.e., the battery replacement time period, is 3 minutes, the queuing vehicle quantity update period is 30 seconds, and the queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * 4) / 6, 0).

[0118] In the above embodiments, by comprehensively considering the maximum number of queuing vehicles, the minimum number of queuing vehicles, and the average number of queuing vehicles to determine the current queuing number of the target swapping station, the data reliability and accuracy can be improved. Moreover, by further accurately estimating the queuing number through the three-point calculation method, the calculation error can be effectively reduced, thereby improving the data reliability and accuracy.

[0119] Step 105: Verify the determined queuing number.

[0120] In this step, obtain the queuing number recognized from the environmental image of the vehicle queuing area of the swapping station, and use the queuing number obtained by image recognition to verify the queuing number determined by positioning.

[0121] Verify the queuing number recognized according to the vehicle screening range and vehicle information through the queuing number recognized from the environmental image, thereby further improving the data accuracy.

[0122] As another embodiment, the queuing number obtained by manual statistics can also be used to verify the queuing number, thereby further improving the data accuracy and further selecting which data to use.

[0123] Step 106: Recommend a swapping station according to the verified queuing number.

[0124] In this step, upload the determined queuing number to the cloud so that when the cloud receives a swapping station search request, it recommends a swapping station according to the queuing numbers reported by each swapping station.

[0125] The queuing number determined by positioning can be used to recommend a swapping station to the user, so that the queuing user or the user waiting for battery swapping can conveniently select a swapping station with a smaller queuing number, thereby saving the user's time and improving the battery swapping efficiency.

[0126] In this embodiment, the battery swapping waiting time can also be determined according to the recognized queuing number, and the queuing number and / or the battery swapping waiting time are output to the display terminal or the user terminal of the swapping station.

[0127] The queuing user can select a suitable swapping station for battery swapping through the battery swapping waiting time and the queuing number, thereby improving the user experience.

[0128] In an implementable manner, when this method is applied to a swapping station, the swapping station can upload the recognized queuing number of the swapping station to the cloud according to a time period for the cloud to recommend a swapping station to the driving user according to the queuing number of the swapping station when needed. When the recognized queuing number of the swapping station changes, the swapping station can upload the new queuing number to the cloud for the cloud to recommend a swapping station to the driving user according to the queuing number of the swapping station when needed.

[0129] The method for identifying the number of battery - swapping queuing vehicles provided in this embodiment realizes the automatic identification of queuing vehicles by automatically obtaining the queuing vehicle screening range of the target battery - swapping station and the vehicle position information of electric vehicles. Based on the relationship between the vehicle position information and the queuing vehicle screening range as the identification basis, it can further determine the queuing number based on the identified queuing vehicles, and further verify the accuracy of the queuing number. At the same time, it can also recommend a suitable battery - swapping station to users based on the queuing number, reducing the workload of the staff in the battery - swapping station and improving the identification efficiency.

[0130] To overcome the above - mentioned defects currently existing, a system for identifying the number of battery - swapping queuing vehicles is also provided, including: an information acquisition module configured to acquire the queuing vehicle screening range of the target battery - swapping station and also configured to acquire the vehicle information of electric vehicles; a queuing vehicle identification module configured to identify an electric vehicle as a queuing vehicle of the target battery - swapping station when it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery - swapping conditions; a queuing number determination module configured to determine the queuing number according to the identified queuing vehicles.

[0131] Specifically, as Figure 2 shown, as another embodiment, the system for identifying the number of battery - swapping queuing vehicles provided in this embodiment mainly includes an information acquisition module 21, a queuing vehicle identification module 22, a queuing number determination module 23, a queuing number verification module 24, and a battery - swapping station recommendation module 25. This system utilizes the method for identifying the number of battery - swapping queuing vehicles as described above.

[0132] The information acquisition module 21 is configured to acquire the queuing vehicle screening range of the target battery - swapping station.

[0133] First, determine the target battery - swapping station in the navigation map, and then acquire the queuing vehicle screening range of the target battery - swapping station. Among them, the queuing vehicle screening range of the target battery - swapping station is the range for screening the queuing vehicles of the target battery - swapping station. In theory, only those within the queuing vehicle screening range will be identified as queuing vehicles of the target battery - swapping station.

[0134] Specifically, as an embodiment, the information acquisition module 21 is configured to set a virtual fence in the navigation map according to the position of the target battery - swapping station, and use the coverage range of the virtual fence as the queuing vehicle screening range of the target battery - swapping station.

[0135] By setting the virtual fence to determine the queuing vehicle screening range, the regional range can be effectively screened, improving the accuracy of identifying queuing vehicles.

[0136] As another embodiment, the information acquisition module 21 is configured to acquire an area where the distance from the target battery swapping station is less than or equal to a preset distance as the queuing vehicle screening range of the target battery swapping station. This distance can be a straight-line distance or a navigation route distance, and corresponding selection can be made according to actual needs.

[0137] By setting the preset distance area, the queuing vehicle screening range is determined, thus effectively screening out the area range and improving the accuracy of identifying queuing vehicles.

[0138] The information acquisition module 21 is further configured to acquire vehicle information of the vehicle.

[0139] As an embodiment, the information acquisition module 21 is further configured to acquire the vehicle information of the electric vehicle from the in-vehicle embedded system of the electric vehicle.

[0140] As another embodiment, the information acquisition module 21 is further configured to acquire the vehicle information of the electric vehicle from a third-party cloud. The vehicle information in the third-party cloud is sourced from the in-vehicle embedded system of the electric vehicle.

[0141] The vehicle information can be conveniently and quickly acquired through the in-vehicle embedded system or the third-party cloud, thus ensuring the accuracy and security of vehicle data.

[0142] As a preferred embodiment, the vehicle information of the electric vehicle at least includes vehicle position, driving speed, and remaining battery power of the vehicle. However, the type of vehicle information is not specifically limited in this embodiment, and corresponding selection and adjustment can be made according to actual needs.

[0143] The queuing vehicle identification module 22 is configured to identify a vehicle that is located within the queuing vehicle screening range and meets the battery swapping conditions based on the vehicle information as a queuing vehicle.

[0144] As an embodiment, the queuing vehicle identification module 22 is configured to identify an electric vehicle as a queuing vehicle for the target battery swapping station when the vehicle position is within the queuing vehicle screening range and the driving speed is lower than a preset speed.

[0145] Specifically, when the collected vehicle GPS position is within the virtual fence or the distance from the center of the target battery swapping station is less than or equal to a preset distance (for example, preferably 50 m), it is determined whether the driving speed of the vehicle is lower than a preset speed (for example, preferably 5 km / h). If so, the vehicle can be identified as being in a queuing state currently. If not, the vehicle can be identified as a vehicle passing by the target battery swapping station.

[0146] Taking the driving speed of the vehicle as a battery swapping condition to intelligently identify queuing vehicles, thus improving the accuracy of vehicle identification.

[0147] As a preferred embodiment, the queuing vehicle recognition module 22 is configured to recognize an electric vehicle as a queuing vehicle for the target battery swapping station when the vehicle position is within the queuing vehicle screening range, the driving speed is lower than a preset speed, and the remaining battery power of the vehicle is lower than a preset power.

[0148] Specifically, on the basis of determining the driving speed, it is also determined whether the remaining battery power of the vehicle is lower than the preset power (for example, preferably 70%). If so, the vehicle can be recognized as a queuing vehicle that needs battery swapping. If not, the vehicle can be recognized as a vehicle that has completed battery swapping or other special situations.

[0149] Taking the driving speed and the remaining battery power of the vehicle as battery swapping conditions to intelligently identify queuing vehicles makes the battery swapping conditions more comprehensive, thereby further improving the accuracy of vehicle identification.

[0150] The queuing quantity determination module 23 is configured to determine the queuing quantity of the target battery swapping station according to the recognized queuing vehicles.

[0151] Specifically, the queuing quantity determination module 23 is configured to determine the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station within the statistical time period according to the recognition time of the queuing vehicle quantity, and determine the current queuing quantity of the target battery swapping station according to the queuing quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station.

[0152] Specifically, the target battery swapping station or the cloud can update the queuing vehicle quantity of the target battery swapping station according to the queuing vehicle quantity update period, and there is a corresponding recognition time for each queuing vehicle quantity. In this way, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station within the statistical time period can be determined according to the recognition time of the queuing vehicle quantity, and then the current queuing quantity of the target battery swapping station can be determined according to the queuing quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station.

[0153] Among them, the statistical time period can be the battery swapping time period.

[0154] In an implementable manner, the queuing quantity determination module 23 is configured to determine the current queuing quantity of the target battery swapping station according to the following formula:

[0155] Queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * (ROUND(Statistical time period / Queuing vehicle quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing vehicle quantity update period, 0), 0).

[0156] For example, assume that the statistical time period, i.e., the battery swapping time period, is 3 minutes, and the update period of the number of queuing vehicles is 30 seconds. The queuing quantity = ROUND((the maximum number of queuing vehicles + the minimum number of queuing vehicles + the average number of queuing vehicles * 4) / 6, 0).

[0157] In the above embodiment, by comprehensively considering the maximum number of queuing vehicles, the minimum number of queuing vehicles, and the average number of queuing vehicles to determine the current queuing quantity of the target battery swapping station, the data reliability and accuracy can be improved. Moreover, by further accurately estimating the queuing quantity through the three-point method calculation method, the calculation error can be effectively reduced, thereby improving the data reliability and accuracy.

[0158] The queuing quantity verification module 24 is configured to obtain the queuing quantity recognized according to the environmental image of the vehicle queuing area of the battery swapping station, and use the queuing quantity obtained by image recognition to verify the queuing quantity determined by positioning.

[0159] Verifying the queuing quantity recognized according to the vehicle screening range and vehicle information through the queuing quantity recognized from the environmental image further improves the data accuracy.

[0160] As another embodiment, the queuing quantity obtained through manual statistics can also be used to verify the queuing quantity, thereby further improving the data accuracy and further selecting which data to use.

[0161] The battery swapping station recommendation module 25 is configured to receive the determined queuing quantity and recommend a battery swapping station according to the queuing quantity reported by each battery swapping station when receiving a battery swapping station search request.

[0162] The queuing quantity determined by positioning can be used to recommend a battery swapping station to users, so that queuing users or users waiting for battery swapping can conveniently select a battery swapping station with a smaller queuing quantity, thereby saving user time and improving the battery swapping efficiency.

[0163] In this embodiment, the battery swapping waiting time can also be determined according to the recognized queuing quantity, and the queuing quantity and / or the battery swapping waiting time are output to the display terminal or user terminal of the battery swapping station.

[0164] Queuing users can select a suitable battery swapping station for battery swapping based on the battery swapping waiting time and the queuing quantity, thereby improving the user experience.

[0165] In an implementable manner, when the system is applied to a battery swapping station, the battery swapping station can upload the identified queuing quantity of the battery swapping station to the cloud according to a time period, so that the cloud can recommend a battery swapping station to the driving user according to the queuing quantity of the battery swapping station when needed. When the identified queuing quantity of the battery swapping station changes, the battery swapping station can upload the new queuing quantity to the cloud, so that the cloud can recommend a battery swapping station to the driving user according to the queuing quantity of the battery swapping station when needed.

[0166] The system for identifying the quantity of queuing battery swapping vehicles provided in this embodiment realizes the automatic identification of queuing vehicles by automatically obtaining the screening range of queuing vehicles at the target battery swapping station and the vehicle position information of electric vehicles, and using the relationship between the vehicle position information and the screening range of queuing vehicles as the identification basis. Furthermore, it can determine the queuing quantity based on the identified queuing vehicles, further verify the accuracy of the queuing quantity, and also recommend a suitable battery swapping station to the user based on the queuing quantity, reducing the workload of the staff at the battery swapping station and improving the identification efficiency.

[0167] Figure 3 FIG. is a schematic structural diagram of an electronic device according to another embodiment of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for identifying the quantity of queuing battery swapping vehicles in the above embodiment. Figure 3 The displayed electronic device 30 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0168] As Figure 3 shown, the electronic device 30 may be presented in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: at least one of the above-mentioned processors 31, at least one of the above-mentioned memories 32, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

[0169] The bus 33 includes a data bus, an address bus, and a control bus.

[0170] The memory 32 may include volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322, and may further include a read-only memory (ROM) 323.

[0171] The memory 32 may further include a program / utilities 325 having a set (at least one) of program modules 324. Such program modules 324 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment.

[0172] The processor 31 executes various functional applications and data processing by running computer programs stored in the memory 32, such as the method for identifying the number of battery swapping queuing vehicles in the above embodiments of the present invention.

[0173] The electronic device 30 can also communicate with one or more external devices 34 (such as a keyboard, a pointing device, etc.). Such communication can be carried out through the input / output (I / O) interface 35. Moreover, the model generation device 30 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 36. As Figure 3 shown, the network adapter 36 communicates with other modules of the model generation device 30 through the bus 33. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the model generation device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (redundant array of independent disks) systems, tape drives, and data backup storage systems, etc.

[0174] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present invention, the features and functions of two or more of the above-described units / modules can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0175] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps in the method for identifying the number of battery swapping queuing vehicles in the above embodiments.

[0176] Among them, the more specific computer-readable storage medium can include but is not limited to: portable disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0177] In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps in the method for identifying the number of battery swapping queuing vehicles in the above embodiments.

[0178] Among them, the program code for implementing the present invention can be written in any combination of one or more programming languages, and the program code can be executed entirely on the user device, partially on the user device, executed as an independent software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0179] Although the specific embodiments of the present invention have been described above, those skilled in the art should understand that this is only an example, and the protection scope of the present invention is defined by the appended claims. Without departing from the principle and essence of the present invention, those skilled in the art can make various changes or modifications to these embodiments, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A method for identifying the number of vehicles queuing for battery swapping, characterized in that, Including: Obtaining the queuing vehicle screening range of the target battery swapping station; Obtaining the vehicle information of the electric vehicle; When it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping condition, identifying the electric vehicle as a queuing vehicle of the target battery swapping station; Determining the queuing quantity according to the identified queuing vehicles; The determining the queuing quantity according to the identified queuing vehicles includes: Determining the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station within the statistical time period according to the identification time of the queuing vehicle quantity; Determining the current queuing quantity of the target battery swapping station according to the queuing vehicle quantity update period of the target battery swapping station, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity; The determining the current queuing quantity of the target battery swapping station according to the queuing vehicle quantity update period of the target battery swapping station, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity includes: Determining the current queuing quantity of the target battery swapping station according to the following formula: Queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * (ROUND(Statistical time period / Queuing quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing quantity update period, 0), 0).

2. The method according to claim 1, characterized in that, The obtaining the queuing vehicle screening range of the target battery swapping station includes: Setting a virtual fence according to the location of the target battery swapping station and taking the coverage range of the virtual fence as the queuing vehicle screening range of the target battery swapping station; Or, Obtaining the area where the distance from the target battery swapping station is less than or equal to the preset distance as the queuing vehicle screening range of the target battery swapping station.

3. The method according to claim 1, wherein The obtaining the vehicle information of the electric vehicle includes: Obtaining the vehicle information of the electric vehicle from the in-vehicle embedded system of the electric vehicle; Or, Obtaining the vehicle information of the electric vehicle from a third-party cloud; the vehicle information of the third-party cloud is sourced from the in-vehicle embedded system of the electric vehicle.

4. The method according to claim 1, characterized in that, The vehicle information includes the vehicle location and the driving speed; the when it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping condition, identifying the electric vehicle as a queuing vehicle of the target battery swapping station includes: When the vehicle location is within the queuing vehicle screening range and the driving speed is lower than the preset speed, identifying the electric vehicle as a queuing vehicle of the target battery swapping station.

5. The method according to claim 4, characterized in that The vehicle information includes the remaining battery power of the vehicle; the when the vehicle location is within the queuing vehicle screening range and the driving speed is lower than the preset speed, identifying the electric vehicle as a queuing vehicle of the target battery swapping station includes: When the vehicle location is within the queuing vehicle screening range, the driving speed is lower than the preset speed, and the remaining battery power of the vehicle is lower than the preset battery power, identifying the electric vehicle as a queuing vehicle of the target battery swapping station.

6. The method according to claim 1, wherein It also includes: Obtaining the queuing quantity identified according to the environmental image of the vehicle queuing area of the battery swapping station; Verify the queuing quantity determined by positioning by using the queuing quantity obtained through image recognition.

7. A quantity recognition system for battery swapping queuing vehicles, characterized in that, Including: An information acquisition module, configured to acquire the queuing vehicle screening range of the target battery swapping station, and further configured to acquire the vehicle information of the electric vehicle; A queuing vehicle recognition module, configured to recognize the electric vehicle as a queuing vehicle of the target battery swapping station when it is determined according to the vehicle information that the electric vehicle is within the queuing vehicle screening range and meets the battery swapping condition; A queuing quantity determination module, configured to determine the queuing quantity according to the recognized queuing vehicles; The queuing quantity determination module is further configured to determine the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station within the statistical time period according to the recognition time of the queuing vehicle quantity; Determine the current queuing quantity of the target battery swapping station according to the queuing vehicle quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station; wherein, determining the current queuing quantity of the target battery swapping station according to the queuing vehicle quantity update period, the maximum queuing vehicle quantity, the minimum queuing vehicle quantity, and the average queuing vehicle quantity of the target battery swapping station includes: determining the current queuing quantity of the target battery swapping station according to the following formula: Queuing quantity = ROUND((Maximum queuing vehicle quantity + Minimum queuing vehicle quantity + Average queuing vehicle quantity * (ROUND(Statistical time period / Queuing quantity update period, 0) - 2)) / ROUND(Statistical time period / Queuing quantity update period, 0), 0).

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for recognizing the quantity of queuing vehicles for battery swapping according to any one of claims 1 to 6.

9. A computer-readable medium having computer instructions stored thereon, characterized in that, When the computer instruction is executed by the processor, it implements the steps of the method for recognizing the quantity of queuing vehicles for battery swapping according to any one of claims 1 to 6.

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