Vehicle abnormal order processing method and device, equipment, product and medium

Abstract

The invention discloses an abnormal order processing method and device of a vehicle, equipment, a product and a medium, and relates to the technical field of new energy vehicles, and the method comprises the steps: obtaining a current abnormal order of a charging target; acquiring historical order data corresponding to the charging target; determining order abnormity analysis information of the current abnormal order according to the historical order data; the order abnormity analysis information is sent to the target user terminal, so that the order abnormity analysis information corresponding to the current abnormal order is displayed on the target user terminal; according to the invention, an abnormal charging ending order or an abnormal discharging ending order can be detected by using the demand energy satisfaction rate, and analysis is carried out in combination with the order vehicle of the current abnormal order and / or the historical order data of the vehicles of the same model, so that an accurate analysis result of the demand energy satisfaction rate abnormity of the current abnormal order is provided for a user; therefore, the user is helped to select the charging station or the charging equipment used subsequently, the uncertainty of the user in selecting the charging pile is reduced, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and particularly to an abnormal order processing method, device, equipment, computer program product and computer-readable storage medium for vehicles. Background Art

[0002] With the rapid development of the new energy electric vehicle industry, the public's understanding of electric vehicles and their charging facilities has deepened day by day, and the expectations for charging services have also increased accordingly. User demands have changed from the initial "able to charge" to "fast charging", especially for public fast charging stations, and this demand is particularly urgent. In order to quantify the charging rate, the industry has introduced key indicators such as "demand power satisfaction rate" and "demand current satisfaction rate" to more accurately monitor and improve the demand satisfaction of new energy vehicle charging and discharging.

[0003] In related technologies, indicators such as "demand power satisfaction rate" and "demand current satisfaction rate" that reflect the demand energy satisfaction rate are only used to help the operation and maintenance and operation teams analyze the reasons when abnormal situations occur at the charging station (such as too few charging vehicles), and serve as an important basis for adjusting the station resources and operation strategies. However, this usage method is far from the actual needs of users and cannot efficiently solve the problems encountered by users during the charging and discharging process of vehicles. Therefore, how to use the demand energy satisfaction rate to quantify the actual needs of users, push the analysis results of the current order anomaly to users, thereby helping users select the subsequent charging station or charging equipment to use, reduce the uncertainty of users when choosing charging piles, and improve the user experience is an urgent problem to be solved today. Summary of the Invention

[0004] The purpose of the present invention is to provide an abnormal order processing method, device, equipment, computer program product and computer-readable storage medium for vehicles, so as to quantify the actual needs of users by using the demand energy satisfaction rate, push the analysis results of the current order anomaly to users, reduce the uncertainty of users when choosing charging piles, and improve the user experience.

[0005] To solve the above technical problems, the present invention provides an abnormal order processing method for vehicles, including:

[0006] Obtain the current abnormal order of the charging target; wherein, the charging target includes a charging station and / or a charging device, and the current abnormal order is the current charging end order or the current discharging end order whose demand energy satisfaction rate does not meet the requirements;

[0007] Obtain the historical order data corresponding to the charging target; wherein, the historical order data includes the vehicle's own historical order data of the order vehicle corresponding to the current abnormal order and / or the historical order data of the same model vehicles;

[0008] Determine the order anomaly analysis information of the current abnormal order according to the historical order data;

[0009] Send the order anomaly analysis information to the target user terminal to display the order anomaly analysis information corresponding to the current abnormal order on the target user terminal; wherein, the target user terminal is the user terminal corresponding to the current abnormal order.

[0010] On the other hand, obtaining the current abnormal order of the charging target includes:

[0011] Obtain the current completed order of the charging target; wherein, the current completed order is the current charging completed order or the current discharging completed order;

[0012] Determine the demand power satisfaction rate of the current completed order;

[0013] In the case where the demand power satisfaction rate of the current completed order is less than the abnormal satisfaction rate threshold, determine the current completed order as the current abnormal order.

[0014] On the other hand, when the current completed order is the current charging completed order, determining the demand power satisfaction rate of the current completed order includes:

[0015] When the charging target is a charging device of a group charging device, calculate the average charging power of the charging target; wherein, the average charging power is the quotient of the marked maximum charging power of the charging target and the maximum number of parallel charging vehicles of the current completed order;

[0016] Calculate the quotient of the average charging power and the vehicle demand charging power in the current completed order to obtain the demand power satisfaction rate of the current completed order.

[0017] On the other hand, before determining the current completed order as the current abnormal order in the case where the demand power satisfaction rate of the current completed order is less than the abnormal satisfaction rate threshold, it further includes:

[0018] Determine the abnormal satisfaction rate threshold according to the vehicle's own historical order data and / or the historical order data of vehicles of the same model corresponding to the current completed order.

[0019] On the other hand, after determining the order anomaly analysis information of the current abnormal order according to the historical order data, it further includes:

[0020] In the case where the historical situation of the charging device in the order anomaly analysis information is normal for historical orders, send the calibration selection information of the charging target to the target user terminal;

[0021] Obtain the calibration selection result fed back by the target user terminal;

[0022] When the calibration selection result is calibration, set the charging target as the calibration recommended target of the logged-in user of the target user terminal; when the calibration selection result is non-calibration, remove the charging target from the calibration recommended target of the logged-in user.

[0023] On the other hand, after determining the order anomaly analysis information of the current abnormal order according to the historical order data, it further includes:

[0024] When the historical situation of the charging device in the order anomaly analysis information is a historical order anomaly, remove the charging target from the calibration recommended target of the logged-in user of the target user terminal.

[0025] On the other hand, determining the order anomaly analysis information of the current abnormal order according to the historical order data includes:

[0026] Determine the order anomaly analysis information of the current abnormal order according to the historical order data and the environmental information corresponding to the charging target; wherein, the environmental information includes internal environmental information and / or external environmental information; the internal environmental information includes the component operation condition of the charging target; the external environmental information includes at least one of the time condition of the charging station where the charging target is located, the vehicle condition in the station, and the weather condition.

[0027] On the other hand, determining the order anomaly analysis information of the current abnormal order according to the historical order data and the environmental information corresponding to the charging target includes:

[0028] Determine the historical situation of the charging device of the current abnormal order according to the historical order data; wherein, the historical situation of the charging device includes historical order anomaly and historical order normal;

[0029] When the historical situation of the charging device is a historical order normal, determine the order anomaly reason of the current abnormal order according to the environmental information corresponding to the charging target; wherein, the order anomaly reason includes the preset anomaly reason matched by the environmental information; the charging anomaly analysis information includes the historical situation of the charging device and the order anomaly reason.

[0030] On the other hand, determining the historical situation of the charging device of the current abnormal order according to the historical order data includes:

[0031] Determine the average demand power satisfaction rate of the order vehicle and the same - model vehicles based on the historical order data of the vehicle itself and the historical order data of the same - model vehicles; wherein, the same - model vehicles are vehicles with the same model as the order vehicle; the historical order data of the vehicle itself includes order data of the order vehicle for charging or discharging at the charging target within a first preset time period; the historical order data of the same - model vehicles includes order data of the same - model vehicles for charging or discharging at the charging target within a second preset time period; the order data includes the demand power satisfaction rate of the order.

[0032] In the case where the average demand power satisfaction rate of the order vehicle is less than the first satisfaction rate threshold and the first ranking is greater than the first ranking threshold, or the average demand power satisfaction rate of the same - model vehicles is less than the second satisfaction rate threshold and the second ranking is greater than the second ranking threshold, determine that the historical situation of the charging device is an abnormal historical order; wherein, the first ranking is the ranking of the average demand power satisfaction rate of the order vehicle in the historical order data of the vehicle itself arranged from high to low according to the demand power satisfaction rate, and the second ranking is the ranking of the average demand power satisfaction rate of the same - model vehicles in the historical order data of the same - model vehicles arranged from high to low according to the demand power satisfaction rate.

[0033] On the other hand, after determining the order abnormal cause of the current abnormal order according to the environmental information corresponding to the charging target, it further includes:

[0034] In the case where the order abnormal cause includes that the internal environmental information matches a preset abnormal cause, send order compensation information and / or charging device selection recommendation information to the target user terminal.

[0035] The present invention also provides an abnormal order processing device for a vehicle, including:

[0036] An order acquisition module, configured to acquire the current abnormal order of the charging target; wherein, the charging target includes a charging station and / or a charging device, and the current abnormal order is the current charging end order or the current discharging end order whose demand energy satisfaction rate does not meet the requirements.

[0037] A historical acquisition module, configured to acquire the historical order data corresponding to the charging target; wherein, the historical order data includes the historical order data of the vehicle itself of the order vehicle corresponding to the current abnormal order and / or the historical order data of the same - model vehicles.

[0038] An order analysis module, configured to determine the order abnormal analysis information of the current abnormal order according to the historical order data.

[0039] A charging and sending module, configured to send the order exception analysis information to a target user terminal, so as to display the order exception analysis information corresponding to the current exception order on the target user terminal; wherein, the target user terminal is the user terminal corresponding to the current exception order.

[0040] The present invention further provides an abnormal order processing device for a vehicle, including:

[0041] A memory, configured to store a computer program;

[0042] A processor, configured to implement the steps of the abnormal order processing method for a vehicle as described above when executing the computer program.

[0043] The present invention further provides a computer program product, including computer programs / instructions, and when the computer programs / instructions are executed by a processor, the steps of the abnormal order processing method for a vehicle as described above are implemented.

[0044] In addition, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the abnormal order processing method for a vehicle as described above are implemented.

[0045] An abnormal order processing method for a vehicle provided by the present invention includes: obtaining a current abnormal order of a charging target; wherein, the charging target includes a charging station and / or a charging device, and the current abnormal order is a current charging end order or a current discharging end order whose demand energy satisfaction rate does not meet the requirements; obtaining historical order data corresponding to the charging target; wherein, the historical order data includes the vehicle's own historical order data of the order vehicle corresponding to the current abnormal order and / or the historical order data of vehicles of the same model; determining order abnormal analysis information of the current abnormal order according to the historical order data; sending the order abnormal analysis information to a target user terminal, so as to display the order abnormal analysis information corresponding to the current abnormal order on the target user terminal; wherein, the target user terminal is the user terminal corresponding to the current abnormal order.

[0046] It can be seen that the present invention can detect an abnormal charging end order or discharging end order with an abnormal demand energy satisfaction rate, and analyze it in combination with the historical order data of the order vehicle and / or vehicles of the same model of the current abnormal order, so as to provide an accurate analysis result of the abnormal demand energy satisfaction rate of the current abnormal order for the user, thereby helping the user select a charging station or a charging device to be used subsequently, reducing the uncertainty of the user when selecting a charging pile, and improving the user experience. In addition, the present invention further provides an abnormal order processing device, device, computer program product and computer-readable storage medium for a vehicle, which also have the above beneficial effects. Description of the Drawings

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on the provided drawings.

[0048] Figure 1 Flowchart of an abnormal order processing method for a vehicle provided by an embodiment of the present invention;

[0049] Figure 2 Schematic flowchart of an abnormal order detection method for a group charging device provided by an embodiment of the present invention;

[0050] Figure 3 Flowchart of an abnormal charging order processing method for a vehicle provided by an embodiment of the present invention;

[0051] Figure 4 Flowchart of an abnormal discharging order processing method for a vehicle provided by an embodiment of the present invention;

[0052] Figure 5 Structural block diagram of an abnormal order processing device for a vehicle provided by an embodiment of the present invention;

[0053] Figure 6 Schematic diagram of a simple structure of an abnormal order processing device for a vehicle provided by an embodiment of the present invention;

[0054] Figure 7 Specific structural diagram of an abnormal order processing device for a vehicle provided by an embodiment of the present invention. Detailed implementation manners

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] Please refer to Figure 1 , Figure 1 Flowchart of an abnormal order processing method for a vehicle provided by an embodiment of the present invention. The method may include:

[0057] Step 101: Obtain the current abnormal order of the charging target; where the charging target includes a charging station and / or a charging device, and the current abnormal order is the current charging end order or the current discharging end order whose demand energy satisfaction rate does not meet the requirements.

[0058] It can be understood that the charging target in this embodiment can be a charging station and / or a charging device (such as a charging pile or a charging terminal) for charging or discharging a new energy vehicle (such as an electric vehicle or a hybrid vehicle). The current abnormal order in this embodiment can be a charging order or a discharging order whose demand energy satisfaction rate of the current end does not meet the requirements. The demand energy satisfaction rate in this embodiment can be the demand power satisfaction rate or the demand current satisfaction rate.

[0059] Among them, the abnormal order processing method for vehicles provided in this embodiment can be applied to a server, such as a server communicatively connected to a management device and / or a charging device in a charging station; that is, the processor in the server can analyze the current abnormal order of the charging target through the method provided in this embodiment and feedback order abnormal analysis information to the user, so as to help the user select the charging station or charging device to be used subsequently; the abnormal order processing method for vehicles provided in this embodiment can also be applied to the charging target, such as the processor in the charging station can analyze the current abnormal order of the charging target through the method provided in this embodiment and feedback order abnormal analysis information to the user, so as to help the user select the charging station or charging device to be used subsequently. This embodiment does not make any restrictions on this.

[0060] Correspondingly, this embodiment takes the analysis of an abnormal order (such as a charging abnormal order or a discharging abnormal order) that has ended for a certain charging target as an example for display. For the analysis of other abnormal orders of this charging target and the abnormal orders of other charging targets, corresponding settings can be made in the same or similar manner as the method provided in this embodiment. This embodiment does not make any restrictions on this.

[0061] Among them, for the specific method by which the processor obtains the current abnormal order of the charging target in this step, it can be set by the designer according to the practical scenario and user requirements. For example, the processor can directly receive the current abnormal order of the charging target. For example, the processor of the server can receive the current abnormal order sent by the charging target. That is to say, when the charging target detects that the order for charging or discharging the vehicle that has just ended is an abnormal order where the demand energy satisfaction rate does not meet the requirements, it can send this order (i.e., the current abnormal order) to the server so that the server can analyze the current abnormal order. The processor can also detect whether the current ended order is an abnormal order based on the demand power satisfaction rate of the current ended order of the charging target, so as to obtain the current ended order determined to be an abnormal order (i.e., the current abnormal order). For example, in this step, the processor can obtain the current ended order of the charging target. Among them, the current ended order is the current charging ended order or the current discharging ended order. Determine the demand power satisfaction rate of the current ended order. In the case where the demand power satisfaction rate of the current ended order is less than the abnormal satisfaction rate threshold, determine the current ended order as the current abnormal order.

[0062] Correspondingly, for the specific method of determining the demand power satisfaction rate of the current ended order above, it can be set by the designer according to the practical scenario and user requirements. For example, it can be implemented in the same or similar way as the method for calculating the demand power satisfaction rate of charging and discharging orders in the related technology. For example, when the current ended order is a charging order, the demand power satisfaction rate of the current ended order (i.e., the actual demand power satisfaction rate) can be obtained by calculating the percentage between the average power output by the charging device to the order vehicle within the order cycle and the average power demand of the order vehicle. That is to say, the demand power satisfaction rate = (average power output by the charging device to the order vehicle / average power demand of the order vehicle) × 100%.

[0063] Correspondingly, in the case where the current ended order is an order for charging or discharging a vehicle (i.e., the order vehicle) using a charging device of a group charging device, the processor can determine the demand power satisfaction rate of the current ended order according to the marked maximum power of the charging device of the current ended order (such as the marked maximum charging power or the marked maximum discharging power), the maximum number of parallel vehicles of the current ended order (such as the maximum number of parallel charging vehicles or the maximum number of parallel discharging vehicles), and the vehicle demand power (such as the vehicle demand charging power or the vehicle demand discharging power). For example, in the case where the current ended order is a charging order, when the charging target is a charging device of a group charging device, the processor can calculate the average charging power of the charging target; calculate the quotient of the average charging power and the vehicle demand charging power in the current ended order (such as the mean value of the above-mentioned order vehicle demand power) to obtain the demand power satisfaction rate of the current ended order (i.e., the theoretical demand power satisfaction rate); where the average charging power is the quotient of the marked maximum charging power of the charging target and the maximum number of parallel charging vehicles of the current ended order; the maximum number of parallel charging vehicles of the current ended order can be the maximum number of vehicles charging in parallel under the group charging device where the charging device used in the charging process of the current ended order is located. For example, if the change process of the number of cars charging under all charging devices of the group charging device during the charging process of the current ended order is 2→3→2→1, the maximum number of parallel charging vehicles of the current ended order can be 3.

[0064] That is to say, in the case where the charging target is not a charging device of a group charging device, the actual demand power satisfaction rate calculation method in the related technology can be adopted to determine the actual demand power satisfaction rate of the current ended order, so as to identify the current abnormal order. In the case where the charging target is a charging device of a group charging device, the above-mentioned theoretical demand power satisfaction rate calculation method can be adopted to determine the theoretical demand power satisfaction rate of the current ended order, so as to identify the current abnormal order; or, the above two calculation methods can be adopted to respectively determine the theoretical demand power satisfaction rate and the actual demand power satisfaction rate of the current ended order, so as to improve the accuracy of identifying the current abnormal order.

[0065] It should be noted that the specific value of the above abnormal satisfaction rate threshold is not limited in this embodiment. For example, the abnormal satisfaction rate threshold can be a fixed value set in advance. The abnormal satisfaction rate threshold can also be a value calculated by the processor itself. For example, the processor can determine the abnormal satisfaction rate threshold according to the historical order data of the vehicle corresponding to the current completed order and / or the historical order data of vehicles of the same model. For example, the processor can directly determine the average demand power satisfaction rate of the order vehicles corresponding to the historical order data of the vehicle as the abnormal satisfaction rate threshold; it can also determine the average demand power satisfaction rate of the vehicles of the same model corresponding to the historical order data of the vehicles of the same model as the abnormal satisfaction rate threshold; it can also determine the product of the average demand power satisfaction rate of the order vehicles and the first preset percentage or the product of the average demand power satisfaction rate of the vehicles of the same model and the second preset percentage as the abnormal satisfaction rate threshold; or, determine the sum of the product of the average demand power satisfaction rate of the order vehicles and the first weight and the product of the average demand power satisfaction rate of the vehicles of the same model and the second weight as the abnormal satisfaction rate threshold.

[0066] For example, as Figure 2 shown, the cloud platform operated by the processor of the server can obtain the end message of a charging order (i.e., the current charging order); the charging order can be an order generated by a charging device performing a charging process on a new energy vehicle (i.e., the order vehicle); in the order end message, it can include content such as charging device information, charging user information, and order information; among them, the charging device information can include information such as the centralized control address, Can (Controller Area Network) address, and device number; the charging user information can include information such as the user's name, user's mobile phone, and user vehicle-related information; the order information can include information such as the order start time, order end time, and charging amount.

[0067] The cloud platform obtains the demand power of the charging order; the demand power is the charging demand power emitted by the new energy vehicle connected to the corresponding charging device; the charging demand power can be a certain value directly screened from the order, or the average value of all demand powers within the charging cycle of the order (such as the average value of the demand power of the above order vehicle).

[0068] The cloud platform determines the maximum number of new energy vehicles charging simultaneously (i.e., the maximum number of parallel charging vehicles) under the same group charging group (i.e., group charging device) within the charging cycle of the charging order. Among them, the charging cycle refers to the time range between the order start time and the order end time of the charging order; since the new energy vehicle and the charging device are in a one-to-one relationship, the determined maximum number of new energy vehicles is equal to the maximum number of charging devices powered in parallel.

[0069] The cloud platform obtains the maximum charging power marked by the corresponding charging terminal (i.e., the marked maximum charging power) according to the basic information data of the station ledger of the charging station corresponding to the charging order; wherein, the maximum charging power refers to the maximum power that the corresponding charging device can theoretically provide; in other words, it means that when only one new energy vehicle is charging (i.e., there is no other new energy vehicle "competing" for the power unit, and all power unit resources can be allocated to this one charging device), the corresponding charging device can output the maximum power for charging this new energy vehicle. Among them, the maximum charging power marked by the charging terminal refers to the maximum power value that can be output when the corresponding charging device executes charging, which is manually recorded in the station ledger of the charging station in the software system of the group charging device. In some other embodiments, the marked maximum charging power can be replaced by the actually detected maximum charging power of the group charging device, that is, the marked maximum power can be replaced by the actual maximum power. In contrast, the marked maximum charging power has a lower update frequency, and the actual maximum charging power is closer to the actual value. For example, the former may be updated due to reasons such as station equipment upgrades, power unit removal for repair and unit upgrades, while the actual maximum charging power can be calculated based on the information reported by the group charging device, with timely and accurate updates.

[0070] The cloud platform calculates the average power (i.e., the average charging power); average power = marked maximum power / maximum number of new energy vehicles. Since the maximum number of new energy vehicles corresponding to different charging orders may be different, therefore, the average power comprehensively considers the charging demands of each charging device for new energy vehicles under the same group charging device, and actually changes according to the number of new energy vehicles or the usage situation of charging devices under different charging orders, so that the detection result of the demand power satisfaction rate obtained based on the average power not only considers the user's needs but also conforms to the actual situation, which helps the user to dynamically optimize the relevant resources of the group charging device under the condition of both meeting the user's charging needs and improving the utilization rate of charging vehicle subsidies.

[0071] The cloud platform analyzes the abnormal situation of the installed capacity of the corresponding group charging device to meet the demand power based on the average power and the demand power and obtains the result; such as Figure 3 when the average power / demand power is less than 80% (i.e., the abnormal satisfaction rate threshold), it is determined that the installed capacity of the corresponding group charging device cannot meet the demand power of this charging order, that is, this charging order is the current abnormal order.

[0072] Step 102: Obtain the historical order data corresponding to the charging target; wherein, the historical order data includes the vehicle's own historical order data of the order vehicle corresponding to the current abnormal order and / or the historical order data of vehicles of the same model.

[0073] It can be understood that the historical order data corresponding to the charging target in this embodiment can be the relevant data of historical orders for charging or discharging at the charging target; for example, when the current abnormal order is the current charging end order, the historical order data can be historical charging order data; when the current abnormal order is the current discharging end order, the historical order data can be historical discharging order data.

[0074] Correspondingly, for the specific quantity and type of the historical order data in this embodiment, it can be set by the designer according to the practical scenario and user requirements. For example, the historical order data can include the historical order data of the vehicle of the order (i.e., the charging vehicle or discharging vehicle of the current abnormal order) and / or the historical order data of vehicles of the same model; among them, the historical order data of the vehicle of the order can include the order data of the vehicle of the order for charging or discharging at the charging target within the first preset time period (such as within the most recent 2 months, 5 months, or half a year); the historical order data of vehicles of the same model can include the order data of vehicles of the same model for charging or discharging at the charging target within the second preset time period, and the vehicles of the same model can be vehicles with the same model as the vehicle of the order. The historical order data can also include the historical order data of vehicles of the same type and / or the historical order data of vehicles of the same general model; the historical order data of vehicles of the same type can include the order data of vehicles of the same type for charging or discharging at the charging target within the third preset time period; the historical order data of vehicles of the same general model can include the historical order data of all vehicles for charging or discharging at the charging target within the fourth preset time period, and the vehicles of the same type can be vehicles with the same type (such as sedans, SUVs, or the same type of users) as the vehicle of the order.

[0075] Among them, the above first preset time period to the fourth preset time period can be the same time period, such as all within a time period of the most recent 2 - 5 months, for example, all within the most recent 3 months; or they can be partially the same or different time periods. For example, the time ranges of the first preset time period to the fourth preset time period can be from large to small, and this embodiment does not impose any restrictions on this.

[0076] Similarly, this embodiment does not limit the specific content of the historical order data. For example, the historical order data corresponding to each order can include all the content of the order; in order to reduce the data rate of the historical order data, the historical order data corresponding to each order can include the demand power satisfaction rate of the order (such as the actual demand power satisfaction rate and / or the theoretical demand power satisfaction rate) and some relevant information (such as the order start time). This embodiment does not impose any restrictions on this.

[0077] It should be noted that, in order to ensure the accuracy of the abnormal demand energy satisfaction rate and abnormal analysis of the current abnormal order, in this embodiment, the current abnormal order can be an order with an order duration (such as a charging cycle or a discharging cycle) greater than a preset duration (such as 30 minutes); correspondingly, each historical order data can be the order data of an order with an order duration greater than the preset duration (i.e., a historical order).

[0078] Among them, this embodiment does not limit the logical sequence of step 102 and step 101. It can first perform step 101 and then step 102 as shown in this embodiment; it can also perform step 102 during the process of performing step 101. For example, after obtaining the current end order of the charging target in step 101, step 102 is performed, that is, the historical order data corresponding to the charging target can be obtained during the process of detecting whether the current end order is an abnormal order.

[0079] Step 103: Determine the order abnormal analysis information of the current abnormal order according to the historical order data.

[0080] It can be understood that in this step, the processor can use the historical order data corresponding to the charging target to analyze and determine the reason for the abnormal demand energy satisfaction rate of the current abnormal order, and obtain the order abnormal analysis information of the current abnormal order.

[0081] Correspondingly, for the specific manner in which the processor determines the order abnormal analysis information of the current abnormal order according to the historical order data in this step, it can be set by the designer according to the practical scenario and user requirements. For example, the processor can determine the historical situation of the charging device of the current abnormal order according to the historical order data; among them, the historical situation of the charging device includes historical order abnormalities and normal historical orders; that is to say, the order abnormal analysis information can include the historical situation of the charging device to indicate whether the reason for the abnormal demand energy satisfaction rate of the current abnormal order is the abnormality of the charging target used. For example, when the historical order data includes the historical order data of the vehicle itself and the historical order data of vehicles of the same model, the processor can determine the average demand power satisfaction rate of the order vehicle and the vehicles of the same model according to the historical order data of the vehicle itself and the historical order data of vehicles of the same model; according to the average demand power satisfaction rate of the order vehicle and the vehicles of the same model, determine the historical situation of the charging device of the current abnormal order; among them, the vehicle of the same model is a vehicle with the same model as the order vehicle; the order data includes the demand power satisfaction rate of the order.

[0082] For example, when the current abnormal order is the current charging end order, the processor can obtain the set BL of the actual demand power satisfaction rates of the charging targets (charging devices or charging stations) for vehicles of the same model within the recent 3 months (i.e., the second preset time period), and obtain the actual average demand power satisfaction rate B of the charging targets for vehicles of the same model; obtain the set OL of the actual demand power satisfaction rates of the orders for the order vehicle charging at the charging target within the recent 3 months (i.e., the first preset time period), and obtain the actual average demand power satisfaction rate C of the charging targets for the order vehicle charging.

[0083] In some embodiments, when the average demand power satisfaction rate C is less than the first satisfaction rate threshold, or the average demand power satisfaction rate B is less than the second satisfaction rate threshold, the processor can determine that the historical situation of the charging device of the current abnormal order is an abnormal historical order, otherwise it can determine that the historical situation of the charging device of the current abnormal order is a normal historical order. That is to say, the process of determining the historical situation of the charging device of the current abnormal order according to the average demand power satisfaction rates of the order vehicle and the vehicle of the same model can include determining that the historical situation of the charging device of the current abnormal order is an abnormal historical order when the average demand power satisfaction rate (C) of the order vehicle is less than the first satisfaction rate threshold, or the average demand power satisfaction rate (B) of the vehicle of the same model is less than the second satisfaction rate threshold.

[0084] In some other embodiments, the processor can record the ranking of the average demand power satisfaction rate C in OL as R1, and record the ranking of the average demand power satisfaction rate B in BL as R2. When R1 is greater than the first ranking threshold or R2 is greater than the second ranking threshold, it can determine that the historical situation of the charging device of the current abnormal order is an abnormal historical order, otherwise it can determine that the historical situation of the charging device of the current abnormal order is a normal historical order. That is to say, the process of determining the historical situation of the charging device of the current abnormal order according to the average demand power satisfaction rates of the order vehicle and the vehicle of the same model can include determining that the historical situation of the charging device is an abnormal historical order when the first ranking (R1) is greater than the first ranking threshold, or the second ranking (R2) is greater than the second ranking threshold; wherein, the first ranking is the ranking of the average demand power satisfaction rate (C) of the order vehicle in the historical order data of the vehicle itself (i.e., the set OL) arranged from high to low according to the demand power satisfaction rate, and the second ranking is the ranking of the average demand power satisfaction rate of the vehicle of the same model in the historical order data of the vehicle of the same model (i.e., the set BL) arranged from high to low according to the demand power satisfaction rate (B).

[0085] In some other embodiments, the processor may determine that the historical situation of the charging device is an abnormal historical order when the average demand power satisfaction rate of the ordered vehicle is less than the first satisfaction rate threshold and the first ranking is greater than the first ranking threshold, or when the average demand power satisfaction rate of the same model vehicle is less than the second satisfaction rate threshold and the second ranking is greater than the second ranking threshold. For example, when B < 80% and R2 is outside the top 10 range, or when C < 80% and R1 is outside the top 10 range, it is determined that the historical order is abnormal; in other cases, it is determined that the historical order is normal.

[0086] Correspondingly, for the historical order data including the historical order data of the vehicle itself or the historical order data of the same model vehicle, and also including the historical order data of the same type vehicle and / or the order data of the through model vehicle, it can be set in a similar manner to the determination method of the historical situation of the charging device of the current abnormal order. For example, when the historical order data includes the historical order data of the vehicle itself, the historical order data of the same model vehicle, the historical order data of the same type vehicle, and the order data of the through model vehicle, the processor may determine the average demand power satisfaction rates of the ordered vehicle, the same model vehicle, the same type vehicle, and all vehicles respectively according to the historical order data of the vehicle itself, the historical order data of the same model vehicle, the historical order data of the same type vehicle, and the order data of the through model vehicle; according to these four average demand power satisfaction rates, determine the historical situation of the charging device of the current abnormal order; where the same model vehicle is the vehicle with the same model as the ordered vehicle; the order data includes the demand power satisfaction rate of the order.

[0087] Further, in order to improve the analysis accuracy of the current abnormal order, in this step, the processor may determine the order abnormal analysis information of the current abnormal order according to the historical order data and the environmental information corresponding to the charging target; where the environmental information includes internal environmental information and / or external environmental information; the internal environmental information includes the operation conditions of the components of the charging target, such as the operation conditions of components such as the charging unit and the switch component (such as whether it is damaged, etc.); the external environmental information includes at least one of the time situation of the charging station where the charging target is located (such as whether it is a peak period), the vehicle situation in the station (such as the number of vehicles with high demand), and the weather situation.

[0088] Correspondingly, for the above-mentioned environmental information corresponding to historical order data and charging targets, the specific method for determining the order anomaly analysis information of the current abnormal order can be set by the designer. For example, the processor can determine the historical situation of the charging device for the current abnormal order based on historical order data, and determine the order anomaly reason for the current abnormal order according to the environmental information corresponding to the charging target. Among them, the order anomaly reason includes the preset anomaly reasons matched by the environmental information, and the charging anomaly analysis information includes the historical situation of the charging device and the order anomaly reason. That is to say, for the analysis of the current abnormal order, not only can the historical situation of the charging device be used to express the reason for the abnormal demand energy satisfaction rate of the current abnormal order through historical charging or discharging situations, but also the order anomaly reason can be used to determine the possible real reason for the abnormal demand energy satisfaction rate of the current abnormal order through the analysis of the environmental information.

[0089] Correspondingly, in some embodiments, the processor can determine the historical situation of the charging device for the current abnormal order based on historical order data. When the historical situation of the charging device is normal for historical orders, the processor can determine the order anomaly reason for the current abnormal order according to the environmental information corresponding to the charging target. That is to say, the processor can analyze the matching relationship between the environmental information corresponding to the charging target and the preset anomaly reasons in response to the judgment that the historical situation of the charging device is normal for historical orders, so as to use the preset anomaly reason matched as the order anomaly reason for the current abnormal order when a preset anomaly reason is matched. For example, when the current abnormal order is the current charging end order, the order anomaly reason can include reasons such as the charging station being in the peak charging period, too many high-demand charging vehicles, and / or rainy or snowy weather.

[0090] Step 104: Send the order anomaly analysis information to the target user terminal to display the order anomaly analysis information corresponding to the current abnormal order on the target user terminal. Herein, the target user terminal is the user terminal corresponding to the current abnormal order.

[0091] It can be understood that the target user terminal in this step can be the terminal device used by the user of the current abnormal order, such as a mobile phone or the order vehicle. In this step, by sending the order anomaly analysis information (such as the historical situation of the charging device and the order anomaly reason) to the target user terminal, the user can view the order anomaly analysis information corresponding to the current abnormal order through the target user terminal, understand the reason for the abnormal demand energy satisfaction rate of the current abnormal order, and help the user select the subsequent charging station or charging device to be used. For example, when there is a problem with the charging target, the user can avoid selecting the current charging target subsequently, reducing the uncertainty of the user when selecting a charging pile and improving the user experience.

[0092] Correspondingly, in some embodiments, after the processor sends the order exception analysis information to the target user terminal, it can also obtain the calibration selection result of the charging target returned by the target user terminal; when the calibration selection result is "calibrate", set the charging target to the calibration recommended target of the logged-in user of the target user terminal; when the calibration selection result is "not calibrate", remove the charging target from the calibration recommended target of the logged-in user; wherein, the calibration recommended target can be the recommended charging station or charging device for subsequent charging or discharging corresponding to the logged-in user, and the calibration recommended target corresponding to the logged-in user can be a set of one or more charging stations and / or charging devices, or can be divided into two sets: the charging calibration recommended target and the discharging calibration recommended target; that is to say, the user can view the order exception analysis information of the current abnormal order and independently select whether to set the current charging target as the calibration recommended target, so as to perform corresponding configuration through the target user terminal.

[0093] Further, to facilitate the user to configure the calibration recommended target, in this embodiment, when the historical situation of the charging device in the order exception analysis information is that the historical order is normal, the processor can send the calibration selection information of the charging target to the target user terminal; obtain the calibration selection result fed back by the target user terminal; when the calibration selection result is "calibrate", set the charging target to the calibration recommended target of the logged-in user of the target user terminal; when the calibration selection result is "not calibrate", remove the charging target from the calibration recommended target of the logged-in user. For example, the server of the cloud platform can push the calibration selection information of the charging target to the target user terminal when the historical order of the charging target of the current abnormal order is normal, enabling the user to conveniently select and configure whether to set the charging target as the calibration recommended target.

[0094] Correspondingly, the processor can also adjust the calibration recommended target of the user by itself. For example, when the historical situation of the charging device in the order exception analysis information is that the historical order is abnormal, the processor can remove the charging target from the calibration recommended target of the logged-in user of the target user terminal. The processor can also increment the historical number of exceptions of the charging target corresponding to the logged-in user by 1 when the historical situation of the charging device in the order exception analysis information is that the historical order is abnormal; when the historical number of exceptions of the charging target corresponding to the logged-in user reaches the number threshold, remove the charging target from the calibration recommended target of the logged-in user of the target user terminal.

[0095] Further, in this embodiment, compensation can also be provided to the user of the current abnormal order (i.e., the logged-in user). For example, the processor can determine whether compensation is required based on the order abnormality analysis information; when compensation is required, order compensation information (such as coupons or cash compensation) can be sent to the target user terminal; when compensation is not required, only the order abnormality analysis information can be sent to the target user terminal through step 104, or charging device selection recommendation information can also be sent to the target user terminal, such as the set of demand energy satisfaction rates of historical orders of the same model vehicles at each charging station within a preset distance (such as 3KM) near the charging target in a certain recent period (such as February - May) and the top 10 charging devices with better average demand energy satisfaction rates of the same model vehicles. For example, when the reason for the order abnormality includes that the internal environment information matches the preset abnormal reason, the processor can send order compensation information and / or charging device selection recommendation information to the target user terminal.

[0096] Correspondingly, the processor can also determine whether compensation is required based on the order abnormality analysis information and the user label of the logged-in user. For example, when the reason for the order abnormality includes that the internal environment information matches the preset abnormal reason (i.e., the current abnormal order is caused by the reason of the charging target), and the user label of the logged-in user is a preset label (such as a member user label, a new user label, and / or a network car-hailing user label, etc.), it is determined that compensation is required, and order compensation information can be sent to the target user terminal; when the user label of the logged-in user is not a preset label, charging device selection recommendation information can be sent to the target user terminal; when the reason for the order abnormality does not include that the internal environment information matches the preset abnormal reason (i.e., the current abnormal order is caused by objective reasons), the order abnormality analysis information can be sent to the target user terminal through step 104 to push the reason for the abnormality.

[0097] In this embodiment, the embodiment of the present invention can detect abnormal charging end orders or discharging end orders with abnormal demand energy satisfaction rates, and analyze them in combination with the historical order data of the order vehicle and / or the same model vehicles of the current abnormal order, so as to provide the user with an accurate analysis result of the abnormal demand energy satisfaction rate of the current abnormal order, thereby helping the user select the subsequent charging station or charging device to use, reducing the uncertainty of the user when choosing a charging pile, and improving the user experience.

[0098] Based on the above embodiments, the embodiment of the present invention provides a method for processing abnormal charging orders of vehicles to analyze charging orders with abnormal demand energy satisfaction rates, reduce the uncertainty of the user when choosing a charging pile for vehicle charging, and improve the user experience.

[0099] Specifically, please refer to Figure 3 , Figure 3The flowchart of an abnormal charging order processing method for a vehicle provided by an embodiment of the present invention. The method may include:

[0100] Step 201: Obtain the current abnormal charging order of the charging target; wherein, the charging target includes a charging station and / or a charging device, and the current abnormal charging order is the current charging end order whose demand energy satisfaction rate does not meet the requirements.

[0101] In some embodiments, in this step, the processor may obtain the current charging end order of the charging target; determine the demand power satisfaction rate of the current charging end order; and in the case where the demand power satisfaction rate of the current charging end order is less than the abnormal charging satisfaction rate threshold, determine the current charging end order as the current abnormal charging order.

[0102] In some other embodiments, the process of determining the demand power satisfaction rate of the current charging end order may include: when the charging target is a charging device of a group charging device, calculate the average charging power of the charging target; wherein, the average charging power is the quotient of the marked maximum charging power of the charging target and the maximum number of parallel charging vehicles in the current charging end order; calculate the quotient of the average charging power and the vehicle demand charging power in the current end order to obtain the demand power satisfaction rate of the current charging end order.

[0103] In some other embodiments, the processor may determine the abnormal charging satisfaction rate threshold according to the vehicle's own historical order data corresponding to the current charging end order and / or the historical order data of vehicles of the same model.

[0104] Step 202: Obtain the historical charging order data corresponding to the charging target; wherein, the historical charging order data includes the vehicle's own historical charging order data of the order vehicle corresponding to the current abnormal charging order and / or the historical order data of vehicles of the same model.

[0105] Step 203: Determine the order abnormal analysis information of the current abnormal charging order according to the historical charging order data.

[0106] In some other embodiments, in this step, the processor may determine the order abnormal analysis information of the current abnormal charging order according to the historical charging order data and the environmental information corresponding to the charging target; wherein, the environmental information includes internal environmental information and / or external environmental information; the internal environmental information includes the component operation conditions of the charging target; the external environmental information includes at least one of the time conditions of the charging station where the charging target is located, the vehicle conditions in the station, and the weather conditions.

[0107] In some other embodiments, the processor may determine the historical situation of the charging device for the current abnormal order based on historical charging order data; wherein, the historical situation of the charging device includes historical order anomalies and normal historical orders; in the case where the historical situation of the charging device is a normal historical order, determine the order anomaly reason for the current charging abnormal order according to the environmental information corresponding to the charging target; wherein, the order anomaly reason includes a preset anomaly reason matched by the environmental information; the charging anomaly analysis information includes the historical situation of the charging device and the order anomaly reason.

[0108] In some other embodiments, the process of determining the historical situation of the charging device for the current charging abnormal order according to historical order data may include:

[0109] Determine the average demand power satisfaction rate of the order vehicle and the same model vehicles according to the historical charging order data of this vehicle and the historical charging order data of the same model vehicles; wherein, the same model vehicles are vehicles with the same model as the order vehicle; the historical charging order data of this vehicle includes the order data of the order vehicle charging at the charging target within the first preset time period; the historical charging order data of the same model vehicles includes the order data of the same model vehicles charging at the charging target within the second preset time period; the order data includes the demand power satisfaction rate of the order.

[0110] In the case where the average demand power satisfaction rate of the order vehicle is less than the first satisfaction rate threshold and the first ranking is greater than the first ranking threshold, or the average demand power satisfaction rate of the same model vehicles is less than the second satisfaction rate threshold and the second ranking is greater than the second ranking threshold, determine that the historical situation of the charging device is a historical order anomaly; wherein, the first ranking is the ranking of the average demand power satisfaction rate of the order vehicle in the historical order data of this vehicle arranged from high to low according to the demand power satisfaction rate, and the second ranking is the ranking of the average demand power satisfaction rate of the same model vehicles in the historical order data of the same model vehicles arranged from high to low according to the demand power satisfaction rate.

[0111] Step 204: Send the order anomaly analysis information to the target user terminal to display the order anomaly analysis information corresponding to the current charging abnormal order on the target user terminal; wherein, the target user terminal is the user terminal corresponding to the current charging abnormal order.

[0112] In some other embodiments, after step 203, it may further include:

[0113] In the case where the historical situation of the charging device in the order anomaly analysis information is a normal historical order, send the charging calibration selection information of the charging target to the target user terminal;

[0114] Obtain the charging calibration selection result feedback by the target user terminal;

[0115] When the charging calibration selection result is calibration, set the charging target to the charging calibration recommended target of the logged-in user of the target user terminal; when the calibration selection result is not calibration, remove the charging target from the charging calibration recommended target of the logged-in user.

[0116] On the other hand, after step 203, it may further include:

[0117] When the charging device historical situation in the order exception analysis information is a historical order exception, remove the charging target from the charging calibration recommended target of the logged-in user of the target user terminal.

[0118] On the other hand, after step 203, it may further include:

[0119] When the order exception reason includes that the internal environment information matches the preset exception reason, send order compensation information and / or charging device selection recommendation information to the target user terminal.

[0120] Based on the above embodiments, the embodiments of the present invention provide a method for processing abnormal discharge orders of a vehicle to analyze discharge orders with abnormal demand energy satisfaction rate, reduce the uncertainty of users when selecting charging piles for vehicle discharge, and improve the user experience.

[0121] Specifically, please refer to Figure 3 , Figure 3 which is a flowchart of a method for processing abnormal discharge orders of a vehicle provided by the embodiments of the present invention. The method may include:

[0122] Step 301: Obtain the current discharge abnormal order of the charging target; where the charging target includes a charging station and / or a charging device, and the current discharge abnormal order is the current discharge end order with the demand energy satisfaction rate not meeting the requirements.

[0123] Step 302: Obtain the historical discharge order data corresponding to the charging target; where the historical discharge order data includes the vehicle's own historical discharge order data of the order vehicle corresponding to the current discharge abnormal order and / or the historical discharge order data of the same model vehicle.

[0124] Step 303: Determine the order exception analysis information of the current discharge abnormal order according to the historical discharge order data.

[0125] Step 304: Send the order exception analysis information to the target user terminal to display the order exception analysis information corresponding to the current discharge abnormal order on the target user terminal; where the target user terminal is the user terminal corresponding to the current discharge abnormal order.

[0126] It can be understood that this embodiment corresponds to the embodiments of the above-mentioned method for processing abnormal orders of a vehicle and the method for processing abnormal charging orders, and will not be elaborated here.

[0127] Corresponding to the above method embodiments, an embodiment of the present invention further provides an abnormal order processing device for a vehicle. An abnormal order processing device for a vehicle described below can be correspondingly referred to with an abnormal order processing method for a vehicle described above.

[0128] Please refer to Figure 5 , Figure 5 which is a structural block diagram of an abnormal order processing device for a vehicle provided by an embodiment of the present invention. The device may include:

[0129] An order acquisition module 10, configured to acquire a current abnormal order of a charging target; wherein, the charging target includes a charging station and / or a charging device, and the current abnormal order is a current charging end order or a current discharging end order whose demand energy satisfaction rate does not meet the requirements;

[0130] A historical acquisition module 20, configured to acquire historical order data corresponding to the charging target; wherein, the historical order data includes the vehicle's own historical order data of the order vehicle corresponding to the current abnormal order and / or the historical order data of vehicles of the same model;

[0131] An order analysis module 30, configured to determine order abnormal analysis information of the current abnormal order according to the historical order data;

[0132] A charging sending module 40, configured to send the order abnormal analysis information to a target user terminal to display the order abnormal analysis information corresponding to the current abnormal order on the target user terminal; wherein, the target user terminal is the user terminal corresponding to the current abnormal order.

[0133] In some embodiments, the order acquisition module 10 may include:

[0134] An order acquisition sub-module, configured to acquire a current end order of the charging target; wherein, the current end order is a current charging end order or a current discharging end order;

[0135] A satisfaction rate determination sub-module, configured to determine the demand power satisfaction rate of the current end order;

[0136] An abnormality determination sub-module, configured to determine the current end order as the current abnormal order when the demand power satisfaction rate of the current end order is less than an abnormal satisfaction rate threshold.

[0137] In some embodiments, the satisfaction rate determination sub-module may include:

[0138] A first calculation unit, configured to calculate the average charging power of the charging target when the charging target is a charging device of a group charging device; wherein, the average charging power is the quotient of the marked maximum charging power of the charging target and the maximum number of parallel charging vehicles of the current end order;

[0139] A second calculation unit, configured to calculate the quotient of the average charging power and the charging power required by the vehicle in the current completed order, so as to obtain the satisfaction rate of the required power of the current completed order.

[0140] In some embodiments, the device may further include:

[0141] A threshold determination module, configured to determine an abnormal satisfaction rate threshold according to the historical order data of the vehicle corresponding to the current completed order and / or the historical order data of vehicles of the same model.

[0142] In some embodiments, the device may further include:

[0143] A calibration selection sending module, configured to send calibration selection information of the charging target to the target user terminal when the historical situation of the charging device in the order anomaly analysis information is that the historical order is normal.

[0144] A calibration receiving module, configured to obtain the calibration selection result fed back by the target user terminal.

[0145] A calibration configuration module, configured to set the charging target as the calibration recommended target of the logged-in user of the target user terminal when the calibration selection result is calibration; when the calibration selection result is not calibration, remove the charging target from the calibration recommended target of the logged-in user.

[0146] In some embodiments, the device may further include:

[0147] A calibration removal module, configured to remove the charging target from the calibration recommended target of the logged-in user of the target user terminal when the historical situation of the charging device in the order anomaly analysis information is that the historical order is abnormal.

[0148] In some embodiments, the order analysis module 30 may specifically be configured to determine the order anomaly analysis information of the current abnormal order according to the historical order data and the environmental information corresponding to the charging target; wherein, the environmental information includes internal environmental information and / or external environmental information; the internal environmental information includes the component operation condition of the charging target; the external environmental information includes at least one of the time condition of the charging station where the charging target is located, the vehicle condition in the station, and the weather condition.

[0149] In some embodiments, the order analysis module 30 may include:

[0150] A historical analysis sub-module, configured to determine the historical situation of the charging device of the current abnormal order according to the historical order data; wherein, the historical situation of the charging device includes historical order anomaly and historical order normal.

[0151] An environment analysis sub-module is used to determine the order exception reason of the current abnormal order according to the environment information corresponding to the charging target when the historical situation of the charging device is that the historical order is normal; wherein, the order exception reason includes the preset exception reason matched by the environment information; the charging exception analysis information includes the historical situation of the charging device and the order exception reason.

[0152] In some embodiments, the historical analysis sub-module may include:

[0153] A first determination unit is used to determine the average demand power satisfaction rate of the order vehicle and the same model vehicle according to the historical order data of the vehicle itself and the historical order data of the same model vehicle; wherein, the same model vehicle is a vehicle with the same model as the order vehicle; the historical order data of the vehicle itself includes the order data of the order vehicle charging or discharging at the charging target within the first preset time period; the historical order data of the same model vehicle includes the order data of the same model vehicle charging or discharging at the charging target within the second preset time period; the order data includes the demand power satisfaction rate of the order.

[0154] A second determination unit is used to determine that the historical situation of the charging device is a historical order exception when the average demand power satisfaction rate of the order vehicle is less than the first satisfaction rate threshold and the first ranking is greater than the first ranking threshold, or when the average demand power satisfaction rate of the same model vehicle is less than the second satisfaction rate threshold and the second ranking is greater than the second ranking threshold; wherein, the first ranking is the ranking of the average demand power satisfaction rate of the order vehicle in the historical order data of the vehicle itself arranged from high to low according to the demand power satisfaction rate, and the second ranking is the ranking of the average demand power satisfaction rate of the same model vehicle in the historical order data of the same model vehicle arranged from high to low according to the demand power satisfaction rate.

[0155] In some embodiments, the device may further include:

[0156] A compensation module is used to send order compensation information and / or charging device selection recommendation information to the target user terminal when the order exception reason includes a preset exception reason matched by the internal environment information.

[0157] In this embodiment, the embodiment of the present invention can detect abnormal charging end orders or discharging end orders using the demand energy satisfaction rate, and analyze by combining the historical order data of the order vehicle and / or the same model vehicle of the current abnormal order, so as to provide an accurate analysis result of the abnormal demand energy satisfaction rate of the current abnormal order for the user, thereby helping the user select the subsequent charging station or charging device to use, reducing the uncertainty of the user when selecting a charging pile, and improving the user experience.

[0158] Corresponding to the above method embodiments, an embodiment of the present invention further provides an abnormal order processing device for a vehicle. An abnormal order processing device for a vehicle described below can be correspondingly referred to the abnormal order processing method for a vehicle described above.

[0159] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of an abnormal order processing device for a vehicle provided by an embodiment of the present invention. The device may include:

[0160] A memory D1 for storing a computer program;

[0161] A processor D2 for implementing the steps of the abnormal order processing method for a vehicle provided by the above method embodiments when executing the computer program.

[0162] Correspondingly, please refer to Figure 7 , Figure 7 which is a specific structural diagram of an abnormal order processing device for a vehicle provided by an embodiment of the present invention. The abnormal order processing device 310 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPUs) 322 (for example, one or more processors) and a memory 332, and one or more storage media 330 for storing application programs 342 or data 344 (for example, one or more mass storage devices). Among them, the memory 332 and the storage medium 330 may be transient storage or persistent storage. The program stored in the storage medium 330 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the host. Further, the central processor 322 may be configured to communicate with the storage medium 330 and execute a series of instruction operations in the storage medium 330 on the abnormal order processing device 310.

[0163] The abnormal order processing device 310 may further include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input / output interfaces 358, and / or one or more operating systems 341. For example, the Linux system, etc.

[0164] Among them, the abnormal order processing device 310 in this embodiment may specifically be a server, such as a server running a cloud platform; or may specifically be a charging target, such as a charging device or a charging station.

[0165] The steps in the abnormal order processing method for a vehicle described above may be implemented by the structure of the abnormal order processing device for a vehicle.

[0166] Corresponding to the above method embodiments, an embodiment of the present invention further provides a computer program product. A computer program product described below can be correspondingly referred to with a method for processing abnormal orders of a vehicle described above.

[0167] A computer program product includes computer programs / instructions. When the computer programs / instructions are executed by a processor, the steps of the method for processing abnormal orders of a vehicle provided by the above method embodiments are implemented.

[0168] Corresponding to the above method embodiments, an embodiment of the present invention further provides a computer-readable storage medium. A computer-readable storage medium described below can be correspondingly referred to with a method for processing abnormal orders of a vehicle described above.

[0169] A computer-readable storage medium has a computer program stored thereon. When the computer program is executed by a processor, the steps of the method for processing abnormal orders of a vehicle in the above method embodiments are implemented.

[0170] Specifically, the computer-readable storage medium can be various readable storage media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store program codes.

[0171] The various embodiments in the specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the devices, equipment, computer program products, and computer-readable storage media disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple. For the relevant parts, reference can be made to the description in the method part.

[0172] The above has introduced in detail a method, device, equipment, computer program product, and computer-readable storage medium for processing abnormal orders of a vehicle provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the present invention.

Claims

1. A method for processing abnormal vehicle orders, characterized in that: include: Acquire a current abnormal order of a charging target; wherein the charging target includes a charging station and / or a charging device, and the current abnormal order is a current charging end order or a current discharging end order whose demand energy satisfaction rate does not meet the requirements; Acquire historical order data corresponding to the charging target; wherein the historical order data includes historical order data of the order vehicle corresponding to the current abnormal order and / or historical order data of vehicles of the same model; Determining order abnormality analysis information of the current abnormal order based on the historical order data; The order abnormality analysis information is sent to a target user terminal, so as to display the order abnormality analysis information corresponding to the current abnormal order on the target user terminal; wherein the target user terminal is a user terminal corresponding to the current abnormal order.

2. The method for handling abnormal vehicle orders according to claim 1, characterized in that: The obtaining of the current abnormal order of the charging target includes: Acquire the current end order of the charging target; wherein the current end order is the current charging end order or the current discharging end order; Determine the power demand fulfillment rate of the currently ended order; When the demand power satisfaction rate of the current ending order is less than the abnormal satisfaction rate threshold, the current ending order is determined as the current abnormal order.

3. The method for handling abnormal vehicle orders according to claim 2, characterized in that: The current end order is the current charging end order, and determining the demand power satisfaction rate of the current end order includes: When the charging target is a charging device of a group charging device, the average charging power of the charging target is calculated; wherein the average charging power is the quotient of the marked maximum charging power of the charging target and the maximum number of parallel charging vehicles of the currently completed order; The quotient of the average charging power and the required charging power of the vehicles in the currently completed order is calculated to obtain the required power satisfaction rate of the currently completed order.

4. The method for handling abnormal vehicle orders according to claim 2, characterized in that: In the case where the demand power satisfaction rate of the current ended order is less than the abnormal satisfaction rate threshold, before determining the current ended order as the current abnormal order, the method further includes: The abnormal satisfaction rate threshold is determined according to the historical order data of the vehicle and / or the historical order data of vehicles of the same model corresponding to the currently ended order.

5. The method for processing abnormal vehicle orders according to claim 1, characterized in that: After determining the order abnormality analysis information of the current abnormal order according to the historical order data, the method further includes: When the charging equipment history in the order abnormality analysis information indicates that the historical order is normal, sending calibration selection information of the charging target to the target user terminal; Obtaining a calibration selection result fed back by the target user terminal; When the calibration selection result is calibration, the charging target is set as a calibration recommended target for a logged-in user of the target user terminal; when the calibration selection result is non-calibration, the charging target is removed from the calibration recommended targets for the logged-in user.

6. The method for handling abnormal vehicle orders according to claim 1, characterized in that: After determining the order abnormality analysis information of the current abnormal order according to the historical order data, the method further includes: When the charging equipment history in the order abnormality analysis information is a historical order abnormality, the charging target is removed from the calibrated recommended targets of the logged-in user of the target user terminal.

7. The method for processing abnormal vehicle orders according to any one of claims 1 to 6, characterized in that: The step of determining the order abnormality analysis information of the current abnormal order according to the historical order data includes: According to the historical order data and the environmental information corresponding to the charging target, the order abnormality analysis information of the current abnormal order is determined; wherein the environmental information includes internal environmental information and / or external environmental information; the internal environmental information includes the operating conditions of the components of the charging target; the external environmental information includes at least one of the time conditions of the charging station where the charging target is located, the vehicle conditions in the station, and the weather conditions.

8. The method for handling abnormal vehicle orders according to claim 7, characterized in that: The determining, according to the historical order data and the environmental information corresponding to the charging target, order abnormality analysis information of the current abnormal order includes: Determine the charging equipment history of the current abnormal order according to the historical order data; wherein the charging equipment history includes abnormal historical orders and normal historical orders; When the charging device history is normal for historical orders, the order abnormality reason of the current abnormal order is determined according to the environmental information corresponding to the charging target; wherein the order abnormality reason includes the preset abnormality reason matched by the environmental information; and the charging abnormality analysis information includes the charging device history and the order abnormality reason.

9. The method for handling abnormal vehicle orders according to claim 8, characterized in that: The determining, according to the historical order data, the historical status of the charging equipment of the current abnormal order includes: According to the historical order data of the vehicle and the historical order data of the vehicle of the same model, the average demand power satisfaction rate of the order vehicle and the vehicle of the same model is determined; wherein the vehicle of the same model is a vehicle of the same model as the order vehicle; the historical order data of the vehicle includes the order data of the order vehicle charging or discharging at the charging target within a first preset time period; the historical order data of the vehicle of the same model includes the order data of the vehicle of the same model charging or discharging at the charging target within a second preset time period; the order data includes the demand power satisfaction rate of the order; When the average demand power satisfaction rate of the ordered vehicle is less than the first satisfaction rate threshold and the first ranking is greater than the first ranking threshold, or the average demand power satisfaction rate of vehicles of the same model is less than the second satisfaction rate threshold and the second ranking is greater than the second ranking threshold, the charging equipment history is determined to be a historical order abnormality; wherein, the first ranking is the ranking of the average demand power satisfaction rate of the ordered vehicle in the historical order data of the vehicle arranged from high to low according to the demand power satisfaction rate, and the second ranking is the ranking of the average demand power satisfaction rate of vehicles of the same model in the historical order data of vehicles of the same model arranged from high to low according to the demand power satisfaction rate.

10. The method for handling abnormal vehicle orders according to claim 7, characterized in that: After determining the order abnormality reason of the current abnormal order according to the environmental information corresponding to the charging target, the method further includes: In a case where the order abnormality reason includes that the internal environment information matches a preset abnormality reason, order compensation information and / or charging device selection recommendation information is sent to the target user terminal.

11. A vehicle abnormal order processing device, characterized in that: include: An order acquisition module, used to acquire a current abnormal order of a charging target; wherein the charging target includes a charging station and / or a charging device, and the current abnormal order is a current charging end order or a current discharging end order whose demand energy satisfaction rate does not meet the requirements; A history acquisition module, used to acquire the historical order data corresponding to the charging target; wherein the historical order data includes the historical order data of the order vehicle corresponding to the current abnormal order and / or the historical order data of the same model vehicle; An order analysis module, used to determine order abnormality analysis information of the current abnormal order based on the historical order data; A charging sending module is used to send the order abnormality analysis information to a target user terminal so as to display the order abnormality analysis information corresponding to the current abnormal order on the target user terminal; wherein the target user terminal is a user terminal corresponding to the current abnormal order.

12. A vehicle abnormal order processing device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the method for handling abnormal vehicle orders as described in any one of claims 1 to 10 when executing the computer program.

13. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the abnormal order processing method for a vehicle as described in any one of claims 1 to 10 are implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for processing an abnormal order of a vehicle as described in any one of claims 1 to 10 are implemented.

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