CN-117009647-B - Method, device, equipment and storage medium for recommending replacement voltage of power exchange station

CN117009647BCN 117009647 BCN117009647 BCN 117009647BCN-117009647-B

Abstract

The application provides a potential change recommending method, a device, equipment and a storage medium for a power change station, wherein the method comprises the steps of obtaining characteristic information of a target object, and inquiring and matching the characteristic information of the target object; according to the query matching result, predicting first waiting time information of the target object, which is required to be spent for power conversion from the current position to any power conversion area in a first power conversion station; and providing a recommended first power conversion area for a driving user of the target object according to the first waiting time information. Therefore, the application can provide a better power conversion scheme for users so as to split the target object to be converted, thereby reducing the waiting time of the users, improving the power conversion experience of the users, and being beneficial to reasonably and uniformly distributing the resources of each power conversion station and each power conversion area so as to improve the utilization rate of the power conversion station and the power conversion area.

Inventors

ZHU JIA
YANG HONGXIN
ZHANG JIANBIAO
QIU HUIHUI
ZHONG KAI

Assignees

章鱼博士智能技术(上海)有限公司

Dates

Publication Date: 20260512
Application Date: 20230628

Claims (8)

1. A method of recommending a power change location for a power change station, the method comprising: Acquiring characteristic information of a target object, and inquiring and matching the characteristic information of the target object in a preset database; According to the query matching result, predicting first waiting time information of the target object, which is required to be spent for power conversion from the current position to any power conversion area in a first power conversion station; Providing a recommended first power conversion area for a driving user of the target object according to the first waiting time information; When the first waiting time information accords with a preset rule, inputting a second power conversion parameter into a second trained machine learning model, and predicting second waiting time information which is required by the power conversion from the current position to any power conversion area in a second power conversion station of the target object based on the second trained machine learning model; the second power conversion parameters comprise position information of a second power conversion station, and the second power conversion parameters further comprise any one of the current residual capacity of the target object, time required by the target object to move to the second power conversion station, position information of power conversion areas in the second power conversion station, the number of vehicles waiting for power conversion at the second power conversion station and the number of stock batteries of the second power conversion station; And providing a recommended second power conversion area for the driving user of the target object according to the second waiting time information.
2. The method for recommending a battery exchange position for a battery exchange station according to claim 1, wherein the characteristic information comprises appearance characteristics and dimension parameters of a target object, and the method for inquiring and matching the characteristic information of the target object comprises the steps of carrying out vehicle type identification on the target object based on the appearance characteristics and the dimension parameters, and inquiring and matching a result of the vehicle type identification with a preset vehicle type in a preset database.
3. The method for recommending a power exchange station according to claim 2, wherein a preflow area is provided at the first power exchange station, and the step of acquiring characteristic information of a target object is performed in the preflow area, and the current position is a position where the preflow area is located.
4. The power exchange position recommending method for a power exchange station according to claim 2, wherein the step of acquiring the appearance characteristics of the target object comprises: Obtaining an appearance image of the target object; graying the appearance image, extracting edge characteristics by adopting a Canny edge detection operator to obtain the appearance characteristics, and/or, The size parameters comprise a vehicle length parameter, a vehicle width parameter and a vehicle height parameter, a preflow area is arranged at the first power exchange station, Acquiring a vehicle length parameter of the target object based on first distance measuring equipment arranged along the length direction at the pre-streaming area; acquiring the vehicle width parameter of the target object based on a second distance measuring device arranged in the width direction at the pre-streaming area; Based on a third distance measuring device arranged along the height direction at the pre-streaming area, acquiring the vehicle height parameter of the target object, and/or, The step of identifying the vehicle type of the target object comprises the following steps: inputting the appearance image of the target object into a trained network model; Based on the trained network model, obtaining appearance characteristics of the appearance image; Inputting the appearance features and the size parameters into a trained classifier model; identifying model information of the target object based on the trained classifier model, and/or, The method further comprises the steps of: Judging whether the target object is a vehicle or not according to the appearance characteristics, if the target object is not the vehicle, sending out first prompt information, and if the target object is the vehicle, acquiring the size parameter of the target object and identifying the traffic pattern; if the vehicle type recognition result does not accord with a preset condition, a second prompt message is sent; If the result of the vehicle type recognition is that the interfering object exists, a third prompt message is sent out, and/or, After the query matching result accords with a preset condition, establishing a corresponding target state parameter for the target object, wherein the target state parameter is used for representing the current power change state of the target object, the power change state comprises waiting for power change, finishing power change and/or, The step of predicting the first waiting time information required for the target object to change from the current position to the power change area in the first power change station includes: Inputting a first power conversion parameter into a first trained machine learning model, wherein the first power conversion parameter comprises position information of a power conversion area in a first power conversion station, and the first power conversion parameter further comprises any one of the number of the power conversion areas in the first power conversion station, time required by the target object to move from the current position to the power conversion area, the number of vehicles waiting for power conversion at the power conversion area in the first power conversion station, power conversion time required by the vehicles in the first power conversion station and the number of stock batteries of the first power conversion station; the first latency information is calculated based on the first trained machine learning model.
5. A power exchange position recommending device for a power exchange station is characterized by comprising, An acquisition unit for acquiring appearance characteristics and size parameters of the target object; the recognition unit is used for recognizing the vehicle type of the target object according to the appearance characteristics and the size parameters; The first prediction unit is used for predicting first waiting time information which is required to be spent for power conversion from the current position of the target object to a power conversion area in a first power conversion station; The second prediction unit is used for inputting a second power conversion parameter into a second trained machine learning model when the first waiting time information accords with a preset rule, predicting second waiting time information which is required by the power conversion of the target object from the current position to any power conversion area in a second power conversion station based on the second trained machine learning model, wherein the second power conversion parameter comprises the position information of the second power conversion station, and the second power conversion parameter also comprises any one of the current residual capacity of the target object, the time required by the target object to move to the second power conversion station, the position information of the power conversion area in the second power conversion station, the number of the power conversion areas in the second power conversion station, the number of the waiting power conversion vehicles at the second power conversion station and the number of the stock batteries of the second power conversion station; the recommendation unit is used for providing a recommended first power conversion area for the driving user of the target object according to the first waiting time information, and providing a recommended second power conversion area for the driving user of the target object according to the second waiting time information.
6. The electric-change position recommending apparatus for a battery change station according to claim 5, wherein a preflow area is provided at the first battery change station, the acquisition unit includes an image acquisition device for acquiring an appearance image of the target object, which is used for extracting the appearance feature, and a ranging device for acquiring a size parameter of the target object, which is provided at the preflow area.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the battery change recommendation method for a battery change station according to any one of claims 1 to 4 when the program is executed.
8. A computer readable storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor for performing the battery exchange position recommendation method for a battery exchange station according to any of claims 1 to 4.

Description

Method, device, equipment and storage medium for recommending replacement voltage of power exchange station Technical Field The application relates to the technical field of navigation of a power exchange station, in particular to a power exchange station recommendation method, a device, equipment and a storage medium for the power exchange station. Background At present, the electric quantity supplementing mode for the electric automobile mainly comprises two modes of charging by a charging pile and power exchanging by a power exchanging station. Compared with the charging pile for charging, the power exchanging mode of the power exchanging station can help a user to newly own the full-power vehicle in a short time without damaging the battery, and the replaced battery can be maintained for prolonging the service life or being used for other purposes. However, the road conditions before the power exchange station are complex, if no reasonable planning exists, congestion is easily caused when more users need to exchange power, and the users cannot observe the operation conditions of all the power exchange cabins behind a team and can only wait in a blind way, so that the situation that the users find out that no power is available for exchange after waiting for a long time before one power exchange cabin is caused. At this time, the user can only change the battery exchange cabin for waiting again, or drive to go to the battery exchange station elsewhere. This not only spends a lot of time for the user, but also makes the battery compartment resources in the battery exchange station unreasonable to be allocated. Disclosure of Invention The application provides a power exchange position recommending method, device and equipment for a power exchange station and a storage medium, so as to improve power exchange efficiency. The application provides a power change position recommending method for a power change station, which comprises the steps of obtaining characteristic information of a target object, inquiring and matching the characteristic information of the target object in a preset database, predicting first waiting time information of the target object, which is required to be spent in power change from the current position to any power change area in a first power change station, according to the inquiring and matching result, and providing a recommended first power change area for a driving user of the target object according to the first waiting time information. In some embodiments, the feature information comprises appearance features and size parameters of the target object, and the method for inquiring and matching the feature information of the target object comprises the steps of identifying a vehicle type of the target object based on the appearance features and the size parameters, and inquiring and matching a result of the vehicle type identification with a preset vehicle type in a preset database. In some embodiments, a preflow area is provided at the first power exchange station, and the step of obtaining an appearance image and a size parameter of the target object is performed in the preflow area, where the appearance image is used for extracting the appearance feature, and the current position is a position where the preflow area is located. In some embodiments, when the first waiting time information accords with a preset rule, the method comprises the steps of predicting second waiting time information which is required to be spent for power conversion from the current position of the target object to any power conversion area in a second power conversion station, and providing a recommended second power conversion area for a driving user of the target object according to the second waiting time information. In some embodiments, the step of predicting the second waiting time information for the target object to spend for a power change from a current position to a power change region in the second power change station includes inputting a second power change parameter into a second post-training machine learning model, the second power change parameter including position information of the second power change station, the second power change parameter further including any of a current remaining power of the target object, a time required for the target object to move to the second power change station, position information of the power change region in the second power change station, a number of power change regions in the second power change station, a number of power change vehicles waiting at the second power change station, a number of stock batteries of the second power change station, and calculating the second waiting time information based on the second post-training machine learning model. In some embodiments, the step of obtaining the appearance characteristic of the target object includes obtaining an appearance image of the target object, performing gray-scale processing