Method for predicting busy degree of vehicle charging area and related product

Abstract

The embodiment of the invention relates to the technical field of vehicles, and discloses a method for predicting the busy degree of a vehicle charging area and related products, and the method comprises the steps: obtaining first parameter data, corresponding to at least one charging influence factor, of the vehicle charging area in a first time period in the future, the charging demand factor is used for representing a charging supply-demand relationship of the vehicle charging area; and according to the first parameter data corresponding to the at least one charging influence factor, a charging heat value corresponding to the vehicle charging area is determined, and the charging heat value is used for indicating the charging busy degree of the vehicle charging area in the first time period. By implementing the embodiment of the invention, the charging busy degree of the vehicle charging area can be predicted more accurately.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method for predicting the busyness of a vehicle charging area and related products. Background Art

[0002] With the rapid development of electric vehicle technology, the proportion of electric vehicles is increasing year by year. However, since it takes a long time to charge electric vehicles, people often have to wait in line to charge or fail to charge in areas where electric vehicles are likely to gather, such as highway service areas or parking lots.

[0003] In practice, it is found that current users can usually only rely on past charging experience to determine whether there are crowds of vehicles in the charging area they are about to go to. However, the results of predictions based on experience are often not accurate enough, which leads to users having to queue for charging or being unable to charge, reducing the user's car experience. Summary of the invention

[0004] The embodiments of the present application disclose a method for predicting the busyness of a vehicle charging area and related products, which can more accurately predict the charging busyness of a vehicle charging area.

[0005] In a first aspect, an embodiment of the present application discloses a method for predicting the busyness of a vehicle charging area, the method comprising:

[0006] Acquire first parameter data corresponding to at least one charging influencing factor in a vehicle charging area in a first time period in the future, wherein the charging influencing factor includes a charging demand factor, and the charging demand factor is used to characterize a charging supply and demand relationship in the vehicle charging area;

[0007] A charging heat value corresponding to the vehicle charging area is determined according to the first parameter data respectively corresponding to the at least one charging influencing factor, wherein the charging heat value is used to indicate the charging busyness of the vehicle charging area in the first time period.

[0008] By implementing the above method, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be collected to quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future. Compared with the result based on experience prediction, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period.

[0009] As an optional implementation, in the first aspect of the embodiment of the present application, the charging heat value corresponding to the vehicle charging area includes: a first value corresponding to the charging demand factor; and determining the charging heat value corresponding to the vehicle charging area according to the first parameter data respectively corresponding to the at least one charging influencing factor includes:

[0010] Determining a first charging supply and a vehicle charging demand corresponding to the vehicle charging area in the first time period according to the first parameter data corresponding to the charging demand factor;

[0011] A first value corresponding to the charging demand factor is determined according to the first charging supply amount and the vehicle charging demand amount.

[0012] As an optional implementation, the first numerical value corresponding to the charging demand factor is a part of the charging heat value.

[0013] By implementing the above method, a ratio operation can be performed between the charging demand of the vehicle charging area in the first time period and the first power supply, and then the first ratio can be used to determine whether the charging power of the vehicle charging area in the first time period is redundant or insufficient. That is, the first ratio can reflect the charging supply and demand relationship of the vehicle charging area, so the first ratio can be determined as the factor sub-item value corresponding to the charging demand factor.

[0014] As an optional implementation, in the first aspect of the embodiment of the present application, the first parameter data corresponding to the charging demand factor includes: the total power supply power of the vehicle charging area; the first charging supply includes the total power supply power;

[0015] The determining, according to the first charging supply and the vehicle charging demand, a first value corresponding to the charging demand factor includes:

[0016] Calculating a first difference between the vehicle charging demand and the total power supply;

[0017] A first ratio between the first difference and the average power supply power of the charging equipment in the vehicle charging area is determined as a first value corresponding to the charging demand factor.

[0018] By implementing the above method, a ratio operation can be performed between the charging demand of the vehicle charging area in the first time period and the first power supply, and then the first ratio can be used to determine whether the charging power of the vehicle charging area in the first time period is redundant or insufficient. That is, the first ratio can reflect the charging supply and demand relationship of the vehicle charging area, so the first ratio can be determined as the factor sub-item value corresponding to the charging demand factor.

[0019] As an optional implementation, in the first aspect of the embodiment of the present application, the first parameter data corresponding to the charging demand factor further includes: a first vehicle flow rate in the vehicle charging area within the first time period;

[0020] The determining, according to the first parameter data corresponding to the charging demand factor, the vehicle charging demand corresponding to the vehicle charging area in the first time period includes:

[0021] Obtaining a pre-stored target proportion and a first charging degree, wherein the target proportion is the proportion of vehicles that need to be charged in the first vehicle flow, and the first charging degree is the average degree that each vehicle needs to be charged;

[0022] The vehicle charging demand corresponding to the vehicle charging area in the first time period is determined according to the target proportion, the first charging degree and the first vehicle flow rate of the vehicle charging area in the first time period.

[0023] By implementing the above method, the number of vehicles that need to be charged can be determined based on the first vehicle flow rate in the vehicle charging area in the first time period and the proportion of vehicles that need to be charged therein, and then the corresponding charging demand in the vehicle charging area in the first time period can be determined based on the average degree of charging required for each vehicle; wherein, the difficulty of obtaining each value is relatively low, and the calculation method is relatively simple, thereby reducing the implementation cost and difficulty of the method.

[0024] As an optional implementation, in the first aspect of the embodiment of the present application, the first parameter data corresponding to the charging demand factor also includes: the second charging degree required by each vehicle in the vehicle charging area during the first time period; the determining the vehicle charging demand corresponding to the vehicle charging area during the first time period according to the first parameter data corresponding to the charging demand factor includes:

[0025] The second charging degrees respectively required by each vehicle in the vehicle charging area in the first time period are accumulated and calculated to obtain the vehicle charging demand corresponding to the vehicle charging area in the first time period.

[0026] By implementing the above method, the second charging degree required by each vehicle in the vehicle charging area can be collected. Since the second charging degree is more in line with the charging demand actually required by the vehicle, the accuracy of the subsequent accumulated charging demand corresponding to the vehicle charging area in the first time period can be improved, thereby improving the accuracy of the subsequent predicted charging busyness of the vehicle charging area in the first time period.

[0027] As an optional implementation, in the first aspect of the embodiment of the present application, the charging influencing factor further includes an environmental factor and / or a historical heat factor; the environmental factor includes: at least one of a temperature factor, a weather factor, a first road condition factor, and a second road condition factor;

[0028] The temperature factor indicates the impact of ambient temperature on vehicle power consumption and vehicle battery capacity; the weather factor indicates the impact of weather type on vehicle power consumption; the first road condition factor indicates the congestion of the road leading into the vehicle charging area; the second road condition factor indicates the congestion of the road leaving the vehicle charging area.

[0029] By implementing the above method, the more charging influencing factors are considered, the more accurate the charging heat value determined subsequently will be.

[0030] As an optional implementation, in the first aspect of the embodiment of the present application, the environmental factor includes: a temperature factor; the first parameter data corresponding to the temperature factor includes: a first ambient temperature of the vehicle charging area in a first time period; the charging heat value corresponding to the vehicle charging area includes: a second value corresponding to the temperature factor;

[0031] The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes:

[0032] Acquire a pre-stored reference ambient temperature and a temperature impact factor, wherein the reference ambient temperature is a preset ambient temperature of the vehicle charging area under normal conditions, and the temperature impact factor indicates the degree of influence of the ambient temperature on the vehicle power consumption and the vehicle battery capacity;

[0033] Calculating a second difference between the first ambient temperature and the reference ambient temperature;

[0034] A second value corresponding to the temperature factor is determined according to the second difference and the temperature influence factor.

[0035] By implementing the above method, the second difference between the first ambient temperature and the reference ambient temperature can be calculated to determine whether the current ambient temperature in the vehicle charging area is too high or too low, thereby determining the power consumption of the vehicle.

[0036] As an optional implementation, in the first aspect of the embodiment of the present application, the temperature impact factor includes: a first temperature impact factor and a second temperature impact factor; the first temperature impact factor indicates the degree of influence of the ambient temperature on increasing the power consumption of the vehicle, and the second temperature impact factor indicates the degree of influence of the ambient temperature on reducing the battery capacity of the vehicle;

[0037] The determining, according to the second difference and the temperature influence factor, a second value corresponding to the temperature factor includes:

[0038] Determine a target index according to the second difference, the first temperature influence factor and the second temperature influence factor;

[0039] A second numerical value corresponding to the temperature factor is obtained by performing a power operation with the absolute value of the second difference as the base and the target index as the exponent.

[0040] By implementing the above method, the first temperature influence factor and the second temperature influence factor can be further combined to adjust the second difference so as to more accurately predict the vehicle's power consumption; and, considering that the low temperature environment has a greater impact on the vehicle's power, the second temperature influence factor representing the degree of impact of the low temperature environment on the vehicle's battery capacity is added to the target index to adjust the calculation result, thereby improving the accuracy of predicting the vehicle's power consumption in a low temperature environment.

[0041] As an optional implementation, in the first aspect of the embodiment of the present application, the environmental factor includes: a weather factor; the first parameter data corresponding to the weather factor includes: a weather index, and the weather index is positively correlated with the severity of the weather in the vehicle charging area during the first time period; the charging heat value corresponding to the vehicle charging area includes: a third value corresponding to the weather factor;

[0042] The determining, based on the first parameter data corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: determining the weather index as a third value corresponding to the weather factor.

[0043] In implementing the above method, considering that severe weather conditions may also increase the vehicle's electricity consumption, the embodiment of the present application can use a weather index to reflect the weather conditions of the vehicle charging area in the first time period, and use the weather index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0044] As an optional implementation, in the first aspect of the embodiment of the present application, the environmental factor includes: a first road condition factor; the first parameter data corresponding to the first road condition factor includes: a first road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area in a first time period; the charging heat value corresponding to the vehicle charging area includes: a fourth value corresponding to the first road condition factor;

[0045] Determining the charging heat value corresponding to the vehicle charging area according to the first parameter data respectively corresponding to the at least one charging influencing factor includes: determining the first road condition index as a fourth value corresponding to the first road condition factor.

[0046] In implementing the above method, considering that traffic jams will lead to increased power consumption of vehicles, especially congestion on the roads leading to the vehicle charging area, the vehicle will continue to consume power if it is in a parked and started state for a long time. In this regard, the embodiment of the present application can reflect the congestion of the road leading to the vehicle charging area through the first road condition index, and use the first road condition index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0047] As an optional implementation, in the first aspect of the embodiment of the present application, the environmental factor includes: a second road condition factor; the first parameter data corresponding to the second road condition factor includes: a first road condition index and a second road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area within a first time period, and the second road condition index is positively correlated with the congestion level of the road leaving the vehicle charging area within the first time period; the charging heat value corresponding to the vehicle charging area includes: a fifth value corresponding to the second road condition factor;

[0048] The determining of the charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor includes: calculating a third difference between the first road condition index and the second road condition index; if the first road condition index is greater than 0, determining the absolute value of the third difference as the factor sub-item value corresponding to the second road condition factor; if the first road condition index is 0, determining 0 as the fifth value corresponding to the second road condition factor.

[0049] By implementing the above method, the congestion of the road leaving the vehicle charging area can also be taken into consideration to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0050] As an optional implementation, in the first aspect of the embodiment of the present application, the first parameter data corresponding to the historical heat factor includes: a historical charging heat value, the historical charging heat value is a charging heat value corresponding to the vehicle charging area in a historical time period, and the historical time period is a time period with the highest charging heat value in the history of the vehicle charging area; the charging heat value corresponding to the vehicle charging area includes: a sixth value corresponding to the historical heat factor;

[0051] The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes:

[0052] Determining, according to the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period;

[0053] A sixth value corresponding to the historical heat factor is determined according to the historical charging heat value and the second ratio.

[0054] By implementing the above method, the charging heat value of the vehicle charging area in the first time period in the future can be predicted based on the historical charging heat value of the vehicle charging area, thereby improving the accuracy of the predicted charging heat value.

[0055] As an optional implementation, in the first aspect of the embodiment of the present application, the first parameter data corresponding to the historical heat factor also includes: a first vehicle flow rate of the vehicle charging area in the first time period, a second vehicle flow rate of the vehicle charging area that can meet the charging demand in the first time period, and a third vehicle flow rate of the vehicle charging area in the historical time period;

[0056] The determining, based on the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period includes: calculating a fourth difference between the first vehicle flow and the second vehicle flow; calculating a fifth difference between the third vehicle flow and the second vehicle flow; and determining the ratio of the fourth difference to the fifth difference as the second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period.

[0057] By implementing the above method, data can be easily obtained based on the first vehicle flow rate of the vehicle charging area in the first time period, the second vehicle flow rate of the vehicle charging area that can meet the charging demand in the first time period, etc., and the second ratio of the charging redundancy degree corresponding to the vehicle charging area in the first time period to the charging redundancy degree corresponding to the historical time period can be determined by a simple calculation method, thereby reducing the implementation difficulty and cost of the method.

[0058] As an optional implementation, in the first aspect of the embodiment of the present application, determining the charging heat value corresponding to the vehicle charging area according to the numerical values ​​corresponding to the at least one charging influencing factor includes: obtaining the weight coefficient corresponding to each of the charging influencing factors; performing weighted summation calculation on the numerical values ​​corresponding to each charging influencing factor and the weight coefficient to obtain a weighted summation result; and determining the weighted summation result as the charging heat value corresponding to the vehicle charging area.

[0059] By implementing the above method, the influence of different charging influencing factors on the charging heat value can be regulated through different weight coefficients, thereby improving the accuracy of the charging heat value determined subsequently.

[0060] As an optional implementation, in the first aspect of the embodiment of the present application, the method also includes: obtaining the charging heat values ​​corresponding to the vehicle charging area in multiple time periods; analyzing the changing trend of the charging busyness of the vehicle charging area according to the charging heat values ​​corresponding to the multiple time periods, and obtaining a first analysis result, which reflects the changing trend of the charging busyness of the vehicle charging area.

[0061] By implementing the above method, the charging heat values ​​corresponding to multiple time periods can be analyzed to obtain the changing trend of the charging busyness of the vehicle charging area, so that the charging busyness of the vehicle charging area can be monitored more comprehensively and continuously.

[0062] As an optional implementation, in the first aspect of the embodiment of the present application, after determining the charging heat value corresponding to the vehicle charging area according to the factor sub-item values ​​corresponding to the at least one charging influencing factor, the method further includes:

[0063] According to the charging heat value corresponding to the vehicle charging area, scheduling information of the movable charging equipment in the vehicle charging area within the first time period is determined, and the scheduling information reflects the number of movable charging equipment that needs to be scheduled to the vehicle charging area within the first time period.

[0064] By implementing the above method, the charging power gap can be quantified and the required number of mobile charging devices can be clarified, so that the number of mobile charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0065] As an optional implementation, in the first aspect of the embodiment of the present application, determining the scheduling information of the movable charging device of the vehicle charging area within the first time period according to the charging heat value corresponding to the vehicle charging area includes:

[0066] If the charging heat value corresponding to the vehicle charging area is greater than the heat threshold, the number of devices is determined according to the charging demand of the vehicle charging area in the first time period, the first power supply and the second power supply of the mobile charging device, and the number of devices is the number of mobile charging devices that need to be dispatched to the vehicle charging area;

[0067] The number of devices is determined as scheduling information of movable charging devices in the vehicle charging area within the first time period.

[0068] By implementing the above method, the charging power gap can be quantified and the required number of mobile charging devices can be clarified, so that the number of mobile charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0069] A second aspect of an embodiment of the present application discloses a device for predicting the busyness of a vehicle charging area, the device comprising:

[0070] A first acquisition unit is used to acquire first parameter data corresponding to at least one charging influencing factor in a vehicle charging area in a first time period in the future, wherein the charging influencing factor includes a charging demand factor, and the charging demand factor is used to characterize the charging supply and demand relationship of the vehicle charging area;

[0071] The first determination unit is used to determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor, wherein the charging heat value indicates the charging busyness of the vehicle charging area in the first time period.

[0072] By implementing the above-mentioned device, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be collected to quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future. Compared with the result based on experience prediction, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period.

[0073] The third aspect of an embodiment of the present application discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the method disclosed in the first aspect of the embodiment of the present application.

[0074] A fourth aspect of an embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the method disclosed in the first aspect of the embodiment of the present application.

[0075] The fifth aspect of the embodiments of the present application discloses a computer program product. When the computer program product runs on a computer, the computer executes part or all of the steps of any one of the methods of the first aspect of the embodiments of the present application.

[0076] A sixth aspect of an embodiment of the present application discloses an application publishing platform, which is used to publish a computer program product. When the computer program product runs on a computer, the computer executes part or all of the steps of any one of the methods of the first aspect of the embodiment of the present application.

[0077] Compared with the related art, the embodiments of the present application have the following beneficial effects:

[0078] In the embodiment of the present application, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be obtained; and the charging heat value indicating the charging busyness of the vehicle charging area in the first time period can be determined according to the first parameter data corresponding to at least one charging influencing factor. Among them, the embodiment of the present application can quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future by collecting the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future. Compared with the result predicted by experience, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period; in addition, the charging influencing factors considered include: the charging demand factor characterizing the charging supply and demand relationship of the vehicle charging area, that is, the quantified charging heat value is determined based on the charging supply and demand relationship of the vehicle charging area in the first time period in the future, and the quantified charging heat value is more in line with the actual charging busyness, thereby improving the accuracy of the charging heat value. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0080] Figure 1 It is a schematic diagram of an application scenario disclosed in an embodiment of the present application;

[0081] Figure 2 It is a flowchart of a method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application;

[0082] Figure 3It is a flowchart of another method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application;

[0083] Figure 4 It is a flowchart of another method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application;

[0084] Figure 5 It is a structural schematic diagram of a busyness prediction device for a vehicle charging area disclosed in an embodiment of the present application;

[0085] Figure 6 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0086] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0087] It should be noted that the terms "first", "second", "third" and "fourth" in the specification and claims of the present application are used to distinguish different objects rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present application and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0088] The embodiments of the present application disclose a method for predicting the busyness of a vehicle charging area and related products, which can more accurately predict the charging busyness of a vehicle charging area.

[0089] The technical solution of the present application will be described in detail below in conjunction with specific embodiments.

[0090] With the rapid development of electric vehicle technology, the proportion of electric vehicles is increasing year by year. However, since it takes a long time to charge electric vehicles, there are often queues for charging or failure to charge in areas where electric vehicles are likely to gather, such as highway service areas or parking lots. In this regard, how to predict the busyness of vehicle charging areas has become an urgent problem to be solved.

[0091] In the related art, when a user wants to charge his / her vehicle at a highway service area while driving on a highway, he / she can usually only rely on past charging experience at the highway service area to determine whether there will be a large number of vehicles charging at the highway service area. However, the results of predictions based on experience are often not accurate enough, which may cause users to queue for charging or fail to charge, thus reducing their car-using experience.

[0092] In this regard, an embodiment of the present application provides a method for predicting the busyness of a vehicle charging area to address the deficiencies in the related art.

[0093] In order to more clearly introduce the busyness prediction method of the vehicle charging area disclosed in the embodiment of the present application, the application scenario applicable to the method is first introduced. Figure 1 , Figure 1 Optionally, the method can be applied to the target server 110, which can include a cloud server, a local server, a server cluster, etc., which is not limited here.

[0094] Optionally, the target server 110 can be communicatively connected with one or more data providers 120, and the data providers 120 can be various terminals that can provide first parameter data corresponding to charging influencing factors, including but not limited to: a network platform terminal of a highway service area, a network platform terminal of a map service provider, a network platform terminal of a transportation network department, and a network platform terminal of a weather forecast department, etc., which are not limited here.

[0095] Among them, charging influencing factors refer to factors that affect the charging busyness of the vehicle charging area, such as: charging demand factors, road conditions, weather factors, etc.; correspondingly, charging demand factors may include: the total power supply power of the service area increased by the network platform end of the high-speed service area, the average power supply power of each charging device, etc.; the first parameter data corresponding to the road condition factor may include: the network platform end of the map service provider, and / or the traffic network department's network platform end provided by the traffic flow information; the first parameter data corresponding to the weather factor may include: the weather forecast information provided by the network platform end of the weather forecast department, etc., which are not limited here.

[0096] Optionally, the target server 110 may be connected to a database 130 for communication, and the database 130 may be used to store various first parameter data collected by the target server 110, calculation results obtained based on the first parameter data, etc., which are not limited here.

[0097] Optionally, the target server 110 may be connected to the user terminal 140 for communication, and the target server 110 may feed back the prediction result to the user through the user terminal 140. The user terminal may include a mobile phone, a vehicle-mounted terminal, etc. of the user. Figure 1 The illustration is made by taking a vehicle-mounted terminal as an example, which should not be construed as limiting the embodiments of the present application.

[0098] It should be noted that Figure 1 The embodiment of the present application merely illustrates an optional embodiment and should not be construed as limiting the embodiment of the present application.

[0099] Optionally, the target server 110 may obtain first parameter data corresponding to at least one charging influencing factor in the vehicle charging area within a first time period in the future; and determine a charging heat value representing the charging busyness of the vehicle charging area within the first time period based on the first parameter data corresponding to at least one charging influencing factor.

[0100] It can be seen that in the embodiment of the present application, the target server 110 can quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future by collecting the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future. Compared with the result based on experience prediction, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period, thereby improving the accuracy of the predicted charging heat value; in addition, the charging influencing factors considered include: the charging demand factor that characterizes the charging supply and demand relationship of the vehicle charging area, that is, the quantified charging heat value is determined based on the charging supply and demand relationship of the vehicle charging area in the first time period in the future, and the quantified charging heat value is more in line with the actual charging busyness, thereby improving the accuracy of the charging heat value.

[0101] In one embodiment, the method for predicting the busyness of a vehicle charging area disclosed in the embodiment of the present application can be applied to predict the busyness of a "highway service area". It is understandable that when a vehicle is driving on a highway, if it cannot enter the high-speed service area in time for charging, it will cause the vehicle to break down on the road, which will not only incur high towing fees, but also cause huge safety hazards to the driver and accompanying personnel when parking on the highway.

[0102] In addition, considering that the "highway service area" is a charging guarantee for driving on the highway, timely charging can ensure the user's continuous driving experience. Therefore, this method is applied to the busyness prediction of the "highway service area" to ensure that when the vehicle is driving on the highway, it can go to the high-speed server with low busyness for charging according to the prediction results, avoiding the vehicle breaking down on the road, protecting the safety of the driver and accompanying personnel, and improving the user's continuous driving experience.

[0103] Based on this, the busyness prediction method of the vehicle charging area and related products disclosed in the embodiments of the present application are introduced below.

[0104] See also Figure 2 , Figure 2 The flowchart of a method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application is shown in FIG. 1 . Optionally, the method can be applied to the target server mentioned above, or other execution entities. The embodiment of the present application is described by taking the target server as an example, which should not be limited to the embodiment of the present application. Optionally, the method can include the following steps:

[0105] 202. Obtain first parameter data corresponding to at least one charging influencing factor in a vehicle charging area within a first time period in the future.

[0106] In the embodiment of the present application, the vehicle charging area may refer to an area that can provide charging services for vehicles, including but not limited to areas such as expressway service areas or parking lots that can provide charging services for vehicles, or other areas where charging equipment (e.g., charging piles) are provided, which is not limited here. That is, the embodiment of the present application can predict the charging busyness of the entire expressway service area or the entire parking lot.

[0107] The first time period in the future can be set by the user according to actual usage needs. For example, if a user wants to know how busy a certain high-speed service area is at 2 pm tomorrow, the first time period in the future can be set to "2 pm tomorrow". Optionally, the first time period in the future can also be a default value set by the developer based on a lot of development experience. For example, if the user does not set the predicted first time period, the default setting of "tomorrow morning 10 o'clock" set by the developer can be used as the first time period, without limitation.

[0108] Optionally, when determining the vehicle charging area and the first time period that the user needs to query, the target server may obtain first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future from the data provider described above.

[0109] In some other optional embodiments, the first parameter data may be manually uploaded by a user, or uploaded by an onboard terminal of a vehicle, which is not limited here.

[0110] It is understandable that the user may have some first parameter data that affects the busyness of the vehicle charging area. In an embodiment of the present application, the target server may provide an upload interface for the user to manually upload the first parameter data, thereby improving the flexibility and controllability of the method.

[0111] In addition, the vehicle-mounted terminal can also collect road condition information, weather information, etc. during driving, so the target server can also obtain the first parameter data uploaded by the vehicle's terminal system, which is not limited here.

[0112] Optionally, in addition to obtaining the first parameter data from the data provider, user or vehicle, the target server can also obtain control parameters pre-stored in the target server. The control parameters may include some proportional coefficients, weight coefficients, etc. The control parameters can control the first parameter data (for example: multiplying by the proportional coefficient, performing weighted accumulation calculation according to the weight coefficient, etc.) to improve the accuracy of the prediction.

[0113] The control parameters are usually fixed. In some optional embodiments, developers can iteratively update the control parameters to improve the accuracy of the prediction.

[0114] In the embodiment of the present application, the charging influencing factor may include at least one of a charging demand factor, an environmental factor, and a historical heat factor. Optionally, the environmental factor may include at least one of a temperature factor, a weather factor, a first road condition factor, and a second road condition factor, which are not limited here.

[0115] Among them, the charging demand factor is used to characterize the charging supply and demand relationship in the vehicle charging area; the temperature factor represents the impact of ambient temperature on the vehicle's power consumption and the vehicle's battery capacity; the weather factor represents the impact of weather type on the vehicle's power consumption; the first road condition factor represents the congestion of the road entering the vehicle charging area; the second road condition factor represents the congestion of the road leaving the vehicle charging area; the historical heat factor represents the historical charging heat value of the vehicle charging area, and its impact on the charging busyness of the vehicle charging area.

[0116] In the embodiment of the present application, there may be one or more first parameter data corresponding to a charging influencing factor. For example, the first parameter data corresponding to the weather factor may only be a "weather index", which is a numerical value used to refer to weather conditions, for example: the weather index corresponding to light rain is "1". The weather index corresponding to moderate rain is "2", etc., which are not limited here.

[0117] Exemplarily, the first parameter data corresponding to the road condition factor may include two parameters: a first road condition index and a second road condition index. The first road condition index reflects the congestion level of the road entering the vehicle charging area in the first time period, and the second road condition index reflects the congestion level of the road leaving the vehicle charging area in the first time period, which is not limited here.

[0118] 204. Determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor.

[0119] In the embodiment of the present application, the target server can determine the charging heat value corresponding to the vehicle charging area based on the first parameter data corresponding to at least one charging influencing factor and the corresponding calculation formula.

[0120] The calculation formula may be set by the developer based on a large amount of development experience. Optionally, the calculation formula is not immutable, and the developer may continuously update and iterate the calculation formula to improve the accuracy of calculating the factor sub-item value.

[0121] The following first takes the "charging demand factor" as an example to introduce the method of calculating the charging heat value corresponding to the vehicle charging area.

[0122] Optionally, the charging heat value corresponding to the vehicle charging area includes: a first numerical value corresponding to the charging demand factor, and the first parameter data corresponding to the charging demand factor may include: the total power supply power of the vehicle charging area, the average power supply power corresponding to each charging device in the vehicle charging area, the first vehicle flow rate in the vehicle charging area during the first time period, and the second charging degree required by each vehicle in the vehicle charging area during the first time period.

[0123] Optionally, the target server may determine a first charging supply and a vehicle charging demand corresponding to the vehicle charging area within a first time period based on first parameter data corresponding to the charging demand factor; and then determine a first numerical value corresponding to the charging demand factor based on the first charging supply and the vehicle charging demand.

[0124] Optionally, the first charging supply may include the total power supply power of the vehicle charging area mentioned above, and / or the average power supply power corresponding to each charging device in the vehicle charging area; the target server may calculate a first difference between the vehicle charging demand and the total power supply power of the vehicle charging area;

[0125] A first ratio between the first difference and the average power supply power corresponding to each charging device in the vehicle charging area is determined as a first value corresponding to the charging demand factor.

[0126] By implementing the above method, the target server can perform a ratio operation on the vehicle charging demand in the vehicle charging area within the first time period and the first charging supply, and then determine whether the charging power of the vehicle charging area in the first time period is redundant or insufficient through the first ratio. That is, the first ratio can reflect the charging supply and demand relationship of the vehicle charging area, so the first ratio can be determined as the first value corresponding to the charging demand factor.

[0127] In an optional embodiment, the target server may determine the vehicle charging demand corresponding to the vehicle charging area in the first time period according to the pre-stored target proportion, the first charging degree and the first vehicle flow rate in the vehicle charging area in the first time period.

[0128] The target ratio is the ratio of vehicles that need to be charged in the first traffic flow in the vehicle charging area during the first time period. For example, if there are 20 million vehicles on the highway and 0.001% of the vehicles will enter the service area to charge, the target ratio is 0.001%.

[0129] The first charging degree is the average degree that each vehicle needs to be charged. The first charging degree may be an empirical value set by a developer based on development experience. For example, each vehicle needs to be charged with 50 degrees of electricity or 60 degrees of electricity, etc., which is not limited here.

[0130] In one embodiment, the target server may determine the first value corresponding to the charging demand factor according to the following formula (1), namely:

[0131]

[0132] Wherein, C represents the first vehicle flow rate in the vehicle charging area during the first time period; R represents the target proportion; D represents the first charging degree; P represents the total power supply power of the vehicle charging area; P a Indicates the average power supply corresponding to each charging device in the vehicle charging area.

[0133] Optionally, the above-mentioned target proportion R and the first charging degree D can be control parameters pre-stored by the developer to the target server; the first vehicle flow C of the vehicle charging area in the first time period, the total power supply power P of the vehicle charging area, and the average power supply power P corresponding to each charging device in the vehicle charging area a It can be obtained by the internal server from the external data provider, which is not limited here.

[0134] By implementing the above method, the target server can determine the number of vehicles that need to be charged based on the first vehicle flow rate in the vehicle charging area within the first time period and the proportion of vehicles that need to be charged, and then determine the corresponding vehicle charging demand in the vehicle charging area within the first time period based on the average degree of charging required for each vehicle; wherein, the difficulty of obtaining each value is relatively low, and the calculation method is relatively simple, thereby reducing the implementation cost and difficulty of the method.

[0135] In another embodiment, the target server may accumulate and calculate the second charging degrees required by each vehicle in the vehicle charging area during the first time period to obtain an accumulated result; and then determine the accumulated result as the vehicle charging demand corresponding to the vehicle charging area during the first time period.

[0136] Optionally, the target server can be communicatively connected to the vehicle management platform, and the vehicle management platform is communicatively connected to the on-board terminals of multiple vehicles. The on-board terminals can obtain travel plan information of the corresponding vehicles and feed the travel plan information back to the vehicle management platform. The vehicle management platform can then determine the second charging degree required when the corresponding vehicle arrives at the vehicle charging area based on the travel plan information, and feed back the second charging degree corresponding to each vehicle to the target server.

[0137] For example, E1 is an electric car that starts from 200 km away and needs to be charged 60 degrees when it arrives at the target highway service area at 3 pm tomorrow; E2 is an electric car that starts from 400 km away and needs to be charged 85 degrees when it arrives at the target highway service area at 3 pm tomorrow.

[0138] Optionally, the target server may determine the first value corresponding to the charging demand factor according to the following formula (2), that is:

[0139]

[0140] Among them, E n represents the second charging degree required by each vehicle in the vehicle charging area during the first time period; P represents the total power supply power of the vehicle charging area; the average power supply power P corresponding to each charging device in the vehicle charging area a .

[0141] By implementing the above method, the target server can collect the second charging degrees required by each vehicle in the vehicle charging area. Since the second charging degrees are more in line with the charging needs of the vehicles actually required, the accuracy of the vehicle charging demand corresponding to the vehicle charging area in the first time period obtained by subsequent accumulation can be improved, thereby improving the accuracy of the subsequent prediction of the charging busyness of the vehicle charging area in the first time period.

[0142] In the embodiment of the present application, there may be a certain correspondence between the charging heat value and the charging busyness of the vehicle charging area in the first time period. The correspondence may be set by the developer based on development experience and is not limited here.

[0143] Optionally, the charging busyness of the vehicle charging area in the first time period may be positively correlated with the charging heat value, that is, the larger the charging hotspot value, the higher the charging busyness of the vehicle charging area in the first time period, and vice versa. Optionally, if the charging heat value is greater than a heat threshold (e.g., 0, 0.5, etc.), it can be determined that the vehicle charging area is busy, and there is a high probability that electric vehicles will be queued for charging. In this regard, when the user obtains the charging heat value, he can make a targeted travel plan to avoid being unable to charge in time.

[0144] In another optional embodiment, the charging busyness of the vehicle charging area in the first time period may be negatively correlated with the charging heat value, that is, the larger the charging hotspot value, the lower the charging busyness of the vehicle charging area in the first time period, and vice versa. This is not limited here.

[0145] By implementing the methods disclosed in the above embodiments, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be obtained; and the charging heat value representing the charging busyness of the vehicle charging area in the first time period can be determined according to the first parameter data corresponding to at least one charging influencing factor. Among them, the embodiment of the present application can quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future by collecting the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future. Compared with the result predicted by experience, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period; in addition, the charging influencing factors considered include: the charging demand factor characterizing the charging supply and demand relationship of the vehicle charging area, that is, the quantified charging heat value is determined based on the charging supply and demand relationship of the vehicle charging area in the first time period in the future, and the quantified charging heat value is more in line with the actual charging busyness, thereby improving the accuracy of the charging heat value.

[0146] See also Figure 3 , Figure 3 This is a flowchart of another method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application. Optionally, the method can be applied to the above-mentioned target server, or other execution entities. The present embodiment of the application is described by taking the target server as an example, which should not be limited to the present embodiment of the application. Optionally, the method can include the following steps:

[0147] 302. Obtain first parameter data corresponding to at least one charging influencing factor in a vehicle charging area within a first time period in the future.

[0148] 304. Determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor and the weight coefficient corresponding to each charging influencing factor.

[0149] In the embodiment of the present application, in addition to the "charging demand factor" introduced above, the charging influencing factors may also include: at least one of temperature factors, weather factors, first road condition factors, second road condition factors and historical heat factors.

[0150] The following introduces methods for calculating the numerical values ​​corresponding to the temperature factor, weather factor, first road condition factor, second road condition factor and historical heat factor respectively.

[0151] Optionally, the charging heat value corresponding to the vehicle charging area may include: a second value corresponding to the temperature factor; the first parameter data corresponding to the temperature factor may include: a first ambient temperature of the vehicle charging area in a first time period. The target server may determine the second value corresponding to the "temperature factor" by:

[0152] The target server obtains the pre-stored reference ambient temperature and temperature impact factor.

[0153] Among them, the reference ambient temperature is the ambient temperature of the preset vehicle charging area under normal conditions. The reference ambient temperature can be set by the developer based on development experience or by the user. Typical values ​​may include 22 degrees Celsius, 25 degrees Celsius, etc., which are not limited here.

[0154] The temperature impact factor indicates the degree of influence of the ambient temperature on the vehicle power consumption and the vehicle battery capacity. The temperature impact factor can be determined based on factors such as the environmental information of the vehicle charging area and the performance information of the vehicle battery, and is not limited here.

[0155] Furthermore, the target server may calculate a second difference between the first ambient temperature and the reference ambient temperature; and determine a second value corresponding to the temperature factor according to the second difference and the temperature influencing factor.

[0156] Among them, considering that the ambient temperature of the vehicle charging area will affect the power of the vehicle, for example, a high temperature environment causes the vehicle to use the air conditioner more, thereby increasing the power consumption; a low temperature environment will cause the capacity of the vehicle battery to decrease. In this regard, the above method can be implemented to determine whether the current ambient temperature of the vehicle charging area is high or low by calculating the second difference between the first ambient temperature and the reference ambient temperature, so as to determine the power consumption of the vehicle.

[0157] Optionally, the temperature influence factor may include: a first temperature influence factor and a second temperature influence factor.

[0158] Among them, the first temperature impact factor represents the degree of influence of ambient temperature on increasing vehicle power consumption. The value range of the first temperature impact factor can be (0, +∞). The specific value of the first temperature impact factor can be set by the developer based on development experience and is not limited here.

[0159] The second temperature impact factor indicates the degree of influence of the ambient temperature on reducing the battery capacity of the vehicle. The value range of the second temperature impact factor can be (0, +∞). The specific value of the second temperature impact factor can be set by the developer based on development experience and is not limited here. Optionally, the second temperature impact factor indicates the degree of influence of the low temperature environment on the battery capacity of the vehicle, where low temperature refers to a temperature less than or equal to a temperature threshold, and the temperature threshold may include 0 degrees Celsius, -5 degrees Celsius, or -10 degrees Celsius, etc., which is not limited here.

[0160] Optionally, the target server may determine the target index according to the second difference between the first ambient temperature and the reference ambient temperature, the first temperature impact factor, and the second temperature impact factor. Then, the absolute value of the second difference between the first ambient temperature and the reference ambient temperature is used as the base, and the target index is used as the exponent to perform a power operation to obtain a second value corresponding to the temperature factor.

[0161] Optionally, the target server may determine the second difference and the target maximum value between the first value, and then calculate the first product between the target maximum value and the second temperature influence factor; then calculate the first sum between the first temperature influence factor and the first product, and use the first sum as the target index.

[0162] The first value may be -0.5, 0, 0.5, etc. The specific value may be set by developers based on a large amount of development experience and is not limited here.

[0163] In another embodiment, the target index may be determined based on the first temperature influence factor and the second temperature influence factor. Optionally, the target index may be the second sum of the first temperature influence factor and the second temperature influence factor, or the second product of the first temperature influence factor and the second temperature influence factor, etc., which is not limited here.

[0164] Optionally, the target server may determine the second value corresponding to the temperature factor according to the following formula (3), that is:

[0165]

[0166] Among them, T s Indicates the reference ambient temperature; T c Indicates the first ambient temperature; B T1 Indicates the first temperature influence factor; B T2 Represents the second temperature influence factor.

[0167] By implementing the above method, the target server can further combine the first temperature influence factor and the second temperature influence factor to adjust the second difference to more accurately predict the vehicle's power consumption; and, considering that the low temperature environment has a greater impact on the vehicle's power, the second temperature influence factor representing the degree of impact of the low temperature environment on the vehicle's battery capacity is added to the target index to adjust the calculation result, thereby improving the accuracy of predicting the vehicle's power consumption in a low temperature environment.

[0168] Optionally, the charging heat value corresponding to the vehicle charging area may include: a third value corresponding to a weather factor. The first parameter data corresponding to the weather factor may include: a weather index, and the weather index is positively correlated with the severity of the weather in the vehicle charging area during the first time period. Exemplarily, the weather index corresponding to "light rain" may be 1, the weather index corresponding to "moderate rain" may be 2, the weather index corresponding to "heavy rain" may be 3, the weather index corresponding to "rainstorm" may be 4, the weather index corresponding to "light snow" may be 5, the weather index corresponding to "moderate snow" may be 6, and the weather index corresponding to "heavy snow" may be 7, which is not limited here.

[0169] It should be noted that the weather type and the corresponding weather indication may also be set in other ways, and the above examples should not constitute a limitation on the embodiments of the present application.

[0170] The target server may determine the third numerical value corresponding to the "weather factor" by determining the weather index as the third numerical value corresponding to the weather factor.

[0171] In implementing the above method, considering that severe weather conditions may also increase the vehicle's electricity consumption, the embodiment of the present application can use a weather index to reflect the weather conditions of the vehicle charging area in the first time period, and use the weather index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0172] Optionally, the first parameter data corresponding to the first road condition factor may include: a first road condition index.

[0173] Optionally, the first road condition index is positively correlated with the congestion level of the road leading into the vehicle charging area in the first time period. Optionally, the value range of the first road condition index may be [0-5], [0-10], etc., which is not limited here.

[0174] Optionally, the road leading to the vehicle charging area may refer to a road at a first distance before reaching the vehicle charging area. The first distance may be set by a developer or user, and typical values ​​may include 10 kilometers, 15 kilometers, etc., which are not limited here.

[0175] Optionally, the charging heat value corresponding to the vehicle charging area may include: a fourth value corresponding to the first road condition factor. The target server may determine the fourth value corresponding to the "first road condition factor" by determining the first road condition index as the fourth value corresponding to the first road condition factor.

[0176] In implementing the above method, considering that traffic jams will lead to increased power consumption of vehicles, especially congestion on the roads leading to the vehicle charging area, the vehicle will continue to consume power if it is in a parked and started state for a long time. In this regard, the embodiment of the present application can reflect the congestion of the road leading to the vehicle charging area through the first road condition index, and use the first road condition index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0177] Optionally, the first parameter data corresponding to the second road condition factor may include: a first road condition index and a second road condition index. The first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area during the first time period. Optionally, the value range of the first road condition index may be [0-5], [0-10], etc., which is not limited here.

[0178] The second road condition index is positively correlated with the congestion level of the road leaving the vehicle charging area in the first time period. Optionally, the value range of the second road condition index may be [0-5], [0-10], etc., which is not limited here.

[0179] It is understandable that if there is congestion on the road leaving the vehicle charging area, the vehicles in the vehicle charging area will be unable to leave the vehicle charging area, which will lead to congestion in the vehicle charging area and will also cause the vehicles to continue to consume electricity. In this regard, the embodiment of the present application can also take the congestion of the road leaving the vehicle charging area into consideration, and use the second road condition index to indicate the degree of congestion of the road leaving the vehicle charging area in the first time period.

[0180] Optionally, the road leaving the vehicle charging area may refer to a road at a second distance after leaving the vehicle charging area. The second distance may be set by a developer or user, and typical values ​​may include 5 kilometers, 10 kilometers, etc., which are not limited here.

[0181] Optionally, the charging heat value corresponding to the vehicle charging area may include: a fifth value corresponding to the second road condition factor. The target server may determine the fifth value corresponding to the "second road condition factor" by: calculating a third difference between the first road condition index and the second road condition index;

[0182] If the first road condition index is greater than 0, the absolute value of the third difference is determined as the factor sub-item value corresponding to the second road condition factor;

[0183] If the first road condition index is 0, 0 is determined as the fifth value corresponding to the second road condition factor.

[0184] It should be noted that if the road leading into the vehicle charging area is congested (i.e., the first road condition index is greater than 0), then regardless of whether the road leaving the vehicle charging area is congested, it means that the vehicle is congested in the vehicle charging area. For this, the absolute value of the third difference between the first road condition index and the second road condition index can be determined as the fifth value corresponding to the second road condition factor.

[0185] If the road leading to the vehicle charging area is not congested (i.e., the first road condition index is 0), the vehicle can smoothly enter the vehicle charging area for charging. At this time, the congestion of the road leaving the vehicle charging area is no longer considered, so 0 can be directly determined as the fifth value corresponding to the second road condition factor.

[0186] Optionally, the target server may determine the fifth value corresponding to the second traffic condition factor according to the following formula (4), namely:

[0187]

[0188] Among them, J a Indicates the first road condition index; J d Indicates the second road condition index.

[0189] The above formula indicates that in J a >0, multiply by 1; a When =0, multiply by 0.

[0190] By implementing the above method, the congestion of the road leaving the vehicle charging area can also be taken into consideration to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0191] Optionally, the first parameter data corresponding to the historical heat factor may include: historical charging heat value.

[0192] The historical charging heat value is the charging heat value corresponding to the vehicle charging area in the historical time period, and the historical time period is the time period with the highest charging heat value in the history of the vehicle charging area.

[0193] Considering that some vehicle charging areas will have periodic hot time periods, for example, the hot time period of a scenic spot service area is the holiday period. If a scenic spot service area had a peak charging heat value during the May Day holiday last year, then the scenic spot service area will most likely also have a peak charging heat value during the May Day holiday this year. For another example, the hot time period of a supermarket parking lot is after get off work and on weekends.

[0194] In this regard, in the embodiment of the present application, the charging heat value of the vehicle charging area in the first time period in the future can also be predicted based on the historical charging heat value of the vehicle charging area.

[0195] Optionally, each time the target server calculates the charging heat value of the vehicle charging area, it can store the currently calculated charging heat value in the database as a historical charging heat value. Furthermore, the target server can optionally obtain the historical charging heat value corresponding to the vehicle charging area from the database.

[0196] Optionally, if the database does not store the historical charging heat values ​​corresponding to the vehicle charging area, the target server can determine the historical charging heat values ​​corresponding to the vehicle charging area based on the historical charging heat values ​​of other charging areas. Among them, other charging areas are charging areas around the vehicle charging area. Optionally, the distance between other charging areas and the vehicle charging area is less than a distance threshold. The distance threshold can be set by the developer based on a lot of development experience. Typical values ​​may include 1 km, 2 km, etc., which are not limited here.

[0197] It is understandable that since the other charging areas are located around the vehicle charging area, the charging heat values ​​of the two should be similar. Therefore, the historical charging heat values ​​corresponding to the vehicle charging area can be determined based on the historical charging heat values ​​of the other charging areas, thereby solving the problem that the historical charging heat values ​​corresponding to the vehicle charging area are not stored in the database, thereby improving the compatibility of the method.

[0198] Optionally, the charging heat value corresponding to the vehicle charging area may include: a sixth value corresponding to a historical heat factor. The target server may determine the sixth value corresponding to the “historical heat factor” in the following manner:

[0199] Determine, based on the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period;

[0200] A sixth value corresponding to the historical charging heat factor is determined according to the historical charging heat value and the second ratio.

[0201] It can be understood that the above-mentioned second ratio can reflect whether the charging redundancy level in the vehicle charging area in the first time period is higher or lower than that in the historical time period. For example: if the second ratio is greater than 1, it means that the charging redundancy level in the first time period is higher; if it is less than 1, it means that the charging redundancy level in the first time period is lower; if it is equal to 1, it means that the charging redundancy level in the first time period is equal.

[0202] In this regard, the target server may set the ratio of the charging redundancy of the vehicle charging area in the first time period to that in the historical time period to be equal to the ratio of the charging heat value of the vehicle charging area in the first time period to that in the historical time period. Optionally, the target server may calculate the third product of the historical charging heat value and the second ratio, and use the third product as the sixth value corresponding to the historical heat factor.

[0203] As an optional implementation, the first parameter data corresponding to the historical heat factor also includes: a first vehicle flow rate in the vehicle charging area within a first time period, a second vehicle flow rate in the vehicle charging area that can meet charging needs within the first time period, and a third vehicle flow rate in the vehicle charging area within a historical time period.

[0204] Optionally, the target server determines the second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period in the following manner:

[0205] The target server calculates a fourth difference between the first vehicle flow and the second vehicle flow, that is, obtains a corresponding charging redundancy degree of the vehicle charging area in the first time period;

[0206] Calculating a fifth difference between the third vehicle flow and the second vehicle flow, that is, obtaining a corresponding charging redundancy degree of the vehicle charging area in the historical time period;

[0207] Furthermore, the ratio of the fourth difference to the fifth difference may be determined as a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period.

[0208] By implementing the above method, the target server can easily obtain data based on the first vehicle flow rate of the vehicle charging area in the first time period, the second vehicle flow rate of the vehicle charging area that can meet the charging demand in the first time period, etc., and determine the second ratio of the charging redundancy degree corresponding to the vehicle charging area in the first time period to the charging redundancy degree corresponding to the historical time period through a simple calculation method, thereby reducing the implementation difficulty and cost of the method.

[0209] Optionally, the target server may determine the sixth value corresponding to the historical heat factor according to the following formula (5), namely:

[0210]

[0211] Among them, H max represents the historical charging heat value; C represents the first vehicle flow in the vehicle charging area in the first time period; C s Indicates the second vehicle flow rate that can meet the charging demand in the vehicle charging area within the first time period; C maxIndicates the third vehicle flow in the vehicle charging area during the historical time period.

[0212] The above method is implemented based on the characteristic that the vehicle charging area will periodically have hot time periods. According to the historical charging heat values ​​of the vehicle charging area, the charging heat value of the vehicle charging area in the first time period in the future is predicted, thereby improving the accuracy of the charging busyness of the vehicle charging area that can be determined subsequently.

[0213] In the embodiment described above, only one charging influencing factor is considered, the amount of calculation is small, and the speed of determining the charging heat value corresponding to the vehicle charging area is faster.

[0214] Optionally, in order to improve the accuracy of determining the charging heat value, multiple charging influencing factors may be considered simultaneously, that is, the charging heat value corresponding to the vehicle charging area may be determined by the multiple charging influencing factors described above.

[0215] Optionally, the target server may accumulate or weightedly accumulate the values ​​corresponding to multiple charging influencing factors to obtain a target accumulated value, and use the target accumulated value as the charging heat value corresponding to the vehicle charging area, which is not limited here.

[0216] In one embodiment, the target server may determine the charging heat value corresponding to the vehicle charging area according to at least two different charging influencing factors, because the more charging influencing factors are considered, the more accurate the determined charging heat value will be.

[0217] In an optional embodiment, since the "charging demand factor" is the factor that best reflects the charging busyness of the vehicle charging area in the first time period, the "charging demand factor" can be determined first, and another charging influencing factor can be selected from the temperature factor, weather factor, first road condition factor, second road condition factor and historical heat factor introduced above.

[0218] Then, the target server can determine the charging heat value corresponding to the vehicle charging area by weighted accumulation according to the "charging demand factor" and another selected charging influencing factor.

[0219] In another optional embodiment, the target server may determine the charging heat value corresponding to the vehicle charging area by weighted accumulation based on charging demand factors, temperature factors, weather factors, first road condition factors, second road condition factors and historical heat factors.

[0220] Optionally, the target server may determine the charging heat value corresponding to the vehicle charging area according to the following formula (6), that is:

[0221]

[0222] Wherein, H represents the charging heat value corresponding to the vehicle charging area; C represents the first vehicle flow rate in the vehicle charging area during the first time period; R represents the target proportion; D represents the first charging degree; P represents the total power supply power of the vehicle charging area; P a Indicates the average power supply corresponding to each charging device in the vehicle charging area; α P Indicates the weight coefficient corresponding to the charging demand factor; T s Indicates the reference ambient temperature; T c Indicates the first ambient temperature; B T1 Indicates the first temperature influence factor; B T2 Represents the second temperature influence factor; α T represents the weight coefficient corresponding to the temperature factor; W represents the sub-item value corresponding to the weather factor; α W Indicates the weight coefficient corresponding to the weather factor; J a Indicates the factor sub-item value corresponding to the first road condition factor (i.e., the first road condition index); represents the weight coefficient corresponding to the first road condition factor; J d Indicates the second road condition index; represents the weight coefficient corresponding to the second road condition factor; H max Indicates the historical charging heat value; C s Indicates the second vehicle flow rate that can meet the charging demand in the vehicle charging area within the first time period; C max represents the third vehicle flow in the vehicle charging area during the historical time period; α H Indicates the weight coefficient corresponding to the historical popularity factor.

[0223] Optionally, the weight coefficient corresponding to each charging influencing factor can be set by the developer based on a large amount of development experience, and is not limited here.

[0224] By implementing the above method, the target server can adjust the influence of different charging influencing factors on the charging heat value through different weight coefficients, thereby improving the accuracy of the charging heat value determined subsequently.

[0225] By implementing the methods disclosed in the above embodiments, a charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future can be quantified by collecting first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future. Compared with the results predicted based on experience, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period; and the target server can adjust the influence of different charging influencing factors on the charging heat value through different weight coefficients, thereby improving the accuracy of the charging heat value determined subsequently.

[0226] See also Figure 4 , Figure 4 This is a flowchart of another method for predicting the busyness of a vehicle charging area disclosed in an embodiment of the present application. Optionally, the method can be applied to the above-mentioned target server, or other execution entities. The embodiment of the present application is described by taking the target server as an example, which should not be limited to the embodiment of the present application. Optionally, the method may include the following steps:

[0227] 402. Obtain first parameter data corresponding to at least one charging influencing factor in a vehicle charging area within a first time period in the future.

[0228] 404. Determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor, where the charging heat value indicates a charging busyness of the vehicle charging area in the first time period.

[0229] As an optional embodiment, the target server may respectively calculate the charging heat values ​​corresponding to the vehicle charging area in multiple time periods; then, the target server may analyze the changing trend of the charging busyness of the vehicle charging area according to the charging heat values ​​corresponding to the multiple time periods, and obtain a first analysis result, which reflects the changing trend of the charging busyness of the vehicle charging area.

[0230] For example, the target server may calculate the charging heat value corresponding to each hour of the 24 hours in the vehicle charging area in a day by using the busyness prediction method of the vehicle charging area introduced in the embodiment of the present application.

[0231] Assume that the result is: H=-5 at 0; H=-5 at 1; H=-5 at 2; H=-5 at 3; H=-5 at 4; H=-5 at 5; H=-5 at 6; H=-5 at 7; H=-5 at 8; H=-5 at 9; H=-4 at 10; H=-4 at 11; H=-3 at 12; H=-2 at 13; H=0 at 14; H=2 at 15; H=2 at 16; H=2 at 17; H=1 at 18; H=1 at 19; H=0.5 at 20; H=0 at 21; H=-2 at 22; H=-2 at 23; H=-3 at 24.

[0232] The first analysis result may include a busy time period and / or a non-busy time period, wherein the busy time period is a time period when the vehicle charging area is in a busy state, and the busy time period is a time period when the vehicle charging area is not in a busy state.

[0233] Exemplarily, through analysis, the first analysis result can be obtained: the charging heat value H of the vehicle charging area at 14:00 is 2, that is, greater than 0, indicating that the vehicle charging area enters the busy charging state for the first time at 14:00; the charging heat value H at 20:00 is 0, and the subsequent charging heat values ​​are all less than 0, indicating that the vehicle charging area is busy from 14:00 to 20:00, and the other time periods are not busy time periods.

[0234] By implementing the above method, the target server can analyze the charging heat values ​​corresponding to multiple time periods to obtain the changing trend of the charging busyness of the vehicle charging area, so as to monitor the charging busyness of the vehicle charging area more comprehensively and continuously.

[0235] 406. Determine scheduling information of movable charging devices in the vehicle charging area within a first time period according to the charging heat value corresponding to the vehicle charging area, where the scheduling information reflects the number of movable charging devices that need to be scheduled to the vehicle charging area within the first time period.

[0236] In the embodiments of the present application, the movable charging device refers to a charging device that can be moved, including but not limited to: a movable charging vehicle, a movable charging pile, etc., which are not limited here. The movable charging device can be moved between different vehicle charging areas to supplement the power supply function of the vehicle charging area. For example, the movable charging vehicle currently provides charging services in the first service area. If the power supply in the second service area is tight, the movable charging vehicle can go to the second service area to supplement the power supply function of the second service area.

[0237] Optionally, the target server determines, based on the charging heat value corresponding to the vehicle charging area, that the vehicle charging area will be in a busy charging state within the first time period.

[0238] Optionally, if the charging heat value corresponding to the vehicle charging area is greater than a heat threshold, it can be determined that the vehicle charging area will be in a busy charging state within the first time period.

[0239] Then, the target server can obtain the second power supply of the movable charging device, and determine the number of devices according to the charging demand of the vehicle charging area in the first time period, the first power supply and the second power supply of the movable charging device.

[0240] Optionally, the target server may determine the number of mobile charging devices that need to be dispatched to the vehicle charging area according to the following formula (7), that is:

[0241]

[0242] Wherein, C represents the first vehicle flow rate in the vehicle charging area during the first time period; R represents the target proportion; D represents the first charging degree; P represents the total power supply power of the vehicle charging area; P a Indicates the average power supply of each charging device in the vehicle charging area; P m represents the target charging power of the mobile charging device; n represents the number of mobile charging devices that need to be dispatched to the vehicle charging area; H n Indicates the charging heat value.

[0243] Optional, when H n When ≤ the heat threshold, the number n of mobile charging devices that need to be dispatched to the vehicle charging area can be calculated.

[0244] By implementing the above method, the charging power gap can be quantified and the required number of mobile charging devices can be clarified, so that the number of mobile charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0245] For example, in the morning, service area A needs 2 mobile charging vehicles, while service area B needs 1 mobile charging vehicle. In the afternoon, service area A needs only 1 mobile charging vehicle, while service area B needs 2 mobile charging vehicles. Then, in the afternoon, 1 mobile charging vehicle in service area A can be dispatched to service area B. This way, the utilization rate of resources is the highest.

[0246] By implementing the methods disclosed in the above embodiments, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be collected to quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future. Compared with the result predicted based on experience, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period; and the charging heat values ​​corresponding to multiple time periods can be analyzed to obtain the changing trend of the charging busyness of the vehicle charging area, so that the charging busyness of the vehicle charging area can be monitored more comprehensively and continuously; and the charging power gap can be quantified to clarify the required number of movable charging devices, so that the number of movable charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0247] See also Figure 5 , Figure 5is a schematic diagram of the structure of a busyness prediction device for a vehicle charging area disclosed in an embodiment of the present application. Optionally, the device can be applied to the above-mentioned target server, or other execution entities. The present embodiment of the application is described by taking the target server as an example, which should not be limited to the present embodiment of the application. Optionally, the device may include a first acquisition unit 502 and a first determination unit 504, wherein:

[0248] A first acquisition unit 502 is used to acquire first parameter data corresponding to at least one charging influencing factor in a vehicle charging area in a first time period in the future, where the charging influencing factor includes a charging demand factor, and the charging demand factor is used to characterize the charging supply and demand relationship in the vehicle charging area;

[0249] The first determining unit 504 is used to determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor, where the charging heat value indicates the charging busyness of the vehicle charging area in the first time period.

[0250] By implementing the above device, the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future can be obtained; and the charging heat value representing the charging busyness of the vehicle charging area in the first time period can be determined according to the first parameter data corresponding to at least one charging influencing factor. Among them, the embodiment of the present application can quantify the charging heat value reflecting the charging busyness of the vehicle charging area in the first time period in the future by collecting the first parameter data corresponding to at least one charging influencing factor in the vehicle charging area in the first time period in the future. Compared with the result predicted by experience, the quantified charging heat value can more intuitively and accurately determine the charging busyness of the vehicle charging area in the first time period; in addition, the charging influencing factors considered include: the charging demand factor characterizing the charging supply and demand relationship of the vehicle charging area, that is, the quantified charging heat value is determined based on the charging supply and demand relationship of the vehicle charging area in the first time period in the future, and the quantified charging heat value is more in line with the actual charging busyness, thereby improving the accuracy of the charging heat value.

[0251] Optionally, the charging heat value corresponding to the vehicle charging area includes: a first numerical value corresponding to the charging demand factor; the first determination unit 504 is also used to determine the first charging supply and vehicle charging demand corresponding to the vehicle charging area within the first time period according to the first parameter data corresponding to the charging demand factor; determine the first numerical value corresponding to the charging demand factor according to the first charging supply and the vehicle charging demand.

[0252] By implementing the above device, it is possible to determine whether the charging power of the vehicle charging area in the first time period is redundant or insufficient according to the vehicle charging demand in the vehicle charging area in the first time period and the first charging supply.

[0253] Optionally, the first parameter data corresponding to the charging demand factor includes: the total power supply power of the vehicle charging area; the first charging supply includes the total power supply power of the vehicle charging area; the first determination unit 504 is also used to calculate the first difference between the vehicle charging demand and the total power supply power; and determine the first ratio between the first difference and the average power supply power of the charging equipment in the vehicle charging area as the first numerical value corresponding to the charging demand factor.

[0254] By implementing the above device, a ratio operation can be performed between the vehicle charging demand in the vehicle charging area within the first time period and the first charging supply, and then the first ratio can be used to determine whether the charging power of the vehicle charging area within the first time period is redundant or insufficient. That is, the first ratio can reflect the charging supply and demand relationship of the vehicle charging area, so the first ratio can be determined as the first value corresponding to the charging demand factor.

[0255] Optionally, the first parameter data corresponding to the charging demand factor also includes: the first vehicle flow rate in the vehicle charging area within the first time period; the first determination unit 504 is also used to obtain a pre-stored target proportion and a first charging degree, the target proportion is the proportion of vehicles that need to be charged in the first vehicle flow rate, and the first charging degree is the average degree that each vehicle needs to be charged; according to the target proportion, the first charging degree and the first vehicle flow rate in the vehicle charging area within the first time period, determine the vehicle charging demand corresponding to the vehicle charging area in the first time period.

[0256] By implementing the above device, the number of vehicles that need to be charged can be determined based on the first vehicle flow rate in the vehicle charging area in the first time period and the proportion of vehicles that need to be charged therein, and then the corresponding charging demand in the vehicle charging area in the first time period can be determined based on the average degree of charging required for each vehicle; wherein, the difficulty of obtaining each value is relatively low, and the calculation method is relatively simple, thereby reducing the implementation cost and difficulty of the method.

[0257] Optionally, the first parameter data corresponding to the charging demand factor also includes: the second charging degree required by each vehicle in the vehicle charging area during the first time period; the first determination unit 504 is also used to accumulate the second charging degree required by each vehicle in the vehicle charging area during the first time period to obtain the vehicle charging demand corresponding to the vehicle charging area in the first time period.

[0258] By implementing the above device, the second charging degree required by each vehicle in the vehicle charging area can be collected. Since the second charging degree is more in line with the charging demand actually required by the vehicle, the accuracy of the subsequent accumulated charging demand corresponding to the vehicle charging area in the first time period can be improved, thereby improving the accuracy of the subsequent predicted charging busyness of the vehicle charging area in the first time period.

[0259] Optionally, the charging influencing factors further include: environmental factors and / or historical heat factors; the environmental factors include: at least one of temperature factors, weather factors, first road condition factors and second road condition factors;

[0260] The temperature factor indicates the impact of ambient temperature on vehicle power consumption and vehicle battery capacity; the weather factor indicates the impact of weather type on vehicle power consumption; the first road condition factor indicates the congestion of roads entering the vehicle charging area; the second road condition factor indicates the congestion of roads leaving the vehicle charging area; the historical heat factor indicates the historical charging heat value of the vehicle charging area, and its impact on the charging busyness of the vehicle charging area.

[0261] By implementing the above device, the more charging influencing factors are considered, the more accurate the charging heat value determined subsequently will be.

[0262] Optionally, the environmental factors include: temperature factors; the first parameter data corresponding to the temperature factors include: the first ambient temperature of the vehicle charging area within the first time period; the charging heat value corresponding to the vehicle charging area includes: the second numerical value corresponding to the temperature factor; the first determination unit 504 is also used to obtain the pre-stored reference ambient temperature and temperature influence factor, the reference ambient temperature is the ambient temperature of the preset vehicle charging area under normal conditions, and the temperature influence factor indicates the degree of influence of the ambient temperature on the vehicle's power consumption and the vehicle's battery capacity; calculate the second difference between the first ambient temperature and the reference ambient temperature; determine the second numerical value corresponding to the temperature factor based on the second difference and the temperature influence factor.

[0263] By implementing the above device, the second difference between the first ambient temperature and the reference ambient temperature can be calculated to determine whether the current ambient temperature in the vehicle charging area is too high or too low, thereby determining the power consumption of the vehicle.

[0264] Optionally, the temperature influence factor includes: a first temperature influence factor and a second temperature influence factor; the first temperature influence factor indicates the degree of influence of the ambient temperature on increasing the power consumption of the vehicle, and the second temperature influence factor indicates the degree of influence of the ambient temperature on reducing the battery capacity of the vehicle; the first determination unit 504 is also used to determine the target index based on the second difference, the first temperature influence factor and the second temperature influence factor; the absolute value of the second difference is used as the base, and the target index is used as the exponent to perform a power operation to obtain a second numerical value corresponding to the temperature factor.

[0265] By implementing the above-mentioned device, the second difference can be further combined with the first temperature influence factor and the second temperature influence factor to adjust the second difference so as to more accurately predict the vehicle's power consumption; and, considering that the low temperature environment has a greater impact on the vehicle's power, the second temperature influence factor representing the degree of impact of the low temperature environment on the vehicle's battery capacity is added to the target index to adjust the calculation result, thereby improving the accuracy of predicting the vehicle's power consumption in a low temperature environment.

[0266] Optionally, the environmental factors include: weather factors; the first parameter data corresponding to the weather factors include: a weather index, and the weather index is positively correlated with the severity of the weather in the vehicle charging area during the first time period; the charging heat value corresponding to the vehicle charging area includes: a third numerical value corresponding to the weather factor; the first determination unit 504 is also used to determine the weather index as the third numerical value corresponding to the weather factor.

[0267] When implementing the above-mentioned device, considering that severe weather conditions may also increase the vehicle's electricity consumption, the embodiment of the present application can use a weather index to reflect the weather conditions of the vehicle charging area during the first time period, and use the weather index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0268] Optionally, the environmental factors include: a first road condition factor; the first parameter data corresponding to the first road condition factor includes: a first road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area within a first time period; the charging heat value corresponding to the vehicle charging area includes: a fourth numerical value corresponding to the first road condition factor; the first determination unit 504 is also used to determine the first road condition index as the fourth numerical value corresponding to the first road condition factor.

[0269] The above device is implemented, considering that traffic jams will lead to increased power consumption of vehicles, especially congestion on the roads leading to the vehicle charging area. The vehicle will continue to consume power if it is in a parked and started state for a long time. In this regard, the embodiment of the present application can reflect the congestion of the road leading to the vehicle charging area through the first road condition index, and use the first road condition index as one of the factors for determining the charging busyness of the vehicle charging area, so as to improve the accuracy of the determined charging busyness of the vehicle charging area.

[0270] Optionally, the environmental factors include: a second road condition factor; the first parameter data corresponding to the second road condition factor includes: a first road condition index and a second road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area within the first time period, and the second road condition index is positively correlated with the congestion level of the road leaving the vehicle charging area within the first time period; the charging heat value corresponding to the vehicle charging area includes: a fifth numerical value corresponding to the second road condition factor; the first determination unit 504 is also used to calculate a third difference between the first road condition index and the second road condition index; if the first road condition index is greater than 0, the absolute value of the third difference is determined as the fifth numerical value corresponding to the second road condition factor; if the first road condition index is 0, 0 is determined as the fifth numerical value corresponding to the second road condition factor.

[0271] By implementing the above device, the congestion of the road leaving the vehicle charging area can also be taken into consideration to improve the accuracy of determining the charging busyness of the vehicle charging area.

[0272] Optionally, the first parameter data corresponding to the historical heat factor includes: historical charging heat values, which are charging heat values ​​corresponding to the vehicle charging area in a historical time period, and the historical time period is the time period with the highest charging heat value in the history of the vehicle charging area; the charging heat value corresponding to the vehicle charging area includes: a sixth numerical value corresponding to the historical heat factor; the first determination unit 504 is also used to determine, based on the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period; and determine the sixth numerical value corresponding to the historical heat factor based on the historical charging heat value and the second ratio.

[0273] By implementing the above device, the charging heat value of the vehicle charging area in the first time period in the future can be predicted based on the historical charging heat value of the vehicle charging area, thereby improving the accuracy of the predicted charging heat value.

[0274] Optionally, the first parameter data corresponding to the historical heat factor also includes: a first vehicle flow rate in the vehicle charging area within the first time period, a second vehicle flow rate in the vehicle charging area that can meet the charging demand within the first time period, and a third vehicle flow rate in the vehicle charging area within the historical time period; the first determination unit 504 is also used to calculate a fourth difference between the first vehicle flow rate and the second vehicle flow rate; calculate a fifth difference between the third vehicle flow rate and the second vehicle flow rate; and determine the ratio of the fourth difference to the fifth difference as a second ratio of the charging redundancy degree corresponding to the vehicle charging area in the first time period to the charging redundancy degree corresponding to the historical time period.

[0275] By implementing the above device, data can be easily obtained based on the first vehicle flow rate of the vehicle charging area in the first time period, the second vehicle flow rate that can meet the charging demand in the vehicle charging area in the first time period, etc., and the second ratio of the charging redundancy degree corresponding to the vehicle charging area in the first time period to the charging redundancy degree corresponding to the historical time period can be determined by a simple calculation method, thereby reducing the implementation difficulty and cost of the method.

[0276] Optional, Figure 5 The device shown may also include a second determination unit not shown in the figure, wherein: the second determination unit is used to obtain the weight coefficient corresponding to each charging influencing factor; perform weighted sum calculation on the numerical value corresponding to each charging influencing factor and the weight coefficient to obtain a weighted sum result; and determine the weighted sum result as the charging heat value corresponding to the vehicle charging area.

[0277] By implementing the above device, the influence of different charging influencing factors on the charging heat value can be regulated through different weight coefficients, thereby improving the accuracy of the charging heat value determined subsequently.

[0278] Optional, Figure 5 The device shown also includes a second acquisition unit and an analysis unit, which are not shown in the figure, wherein:

[0279] A second acquisition unit is used to acquire charging heat values ​​corresponding to the vehicle charging area in multiple time periods;

[0280] The analysis unit is used to analyze the changing trend of the charging busyness of the vehicle charging area according to the charging heat values ​​corresponding to the multiple time periods, and obtain a first analysis result, which reflects the changing trend of the charging busyness of the vehicle charging area.

[0281] By implementing the above device, the charging heat values ​​corresponding to multiple time periods can be analyzed to obtain the changing trend of the charging busyness of the vehicle charging area, so that the charging busyness of the vehicle charging area can be monitored more comprehensively and continuously.

[0282] Optional, Figure 5 The device shown also includes a scheduling unit not shown, wherein:

[0283] The scheduling unit is used to determine the scheduling information of the movable charging equipment in the vehicle charging area within a first time period according to the charging heat value corresponding to the vehicle charging area, and the scheduling information reflects the number of movable charging equipment that needs to be scheduled to the vehicle charging area within the first time period.

[0284] By implementing the above device, the charging power gap can be quantified and the required number of mobile charging devices can be clarified, so that the number of mobile charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0285] Optionally, the scheduling unit is also used to determine the number of devices based on the charging demand of the vehicle charging area in a first time period, the first power supply and the second power supply of the movable charging device if the charging heat value corresponding to the vehicle charging area is greater than the heat threshold, and the number of devices is the number of movable charging devices that need to be scheduled to the vehicle charging area; and determine the device data as the scheduling information of the movable charging devices in the vehicle charging area in the first time period.

[0286] By implementing the above device, the charging power gap can be quantified and the required number of mobile charging devices can be clarified, so that the number of mobile charging devices can be flexibly deployed to balance the power supply capacity of the vehicle charging area.

[0287] See also Figure 6 , Figure 6 Schematic diagram of the structure of an electronic device disclosed in the embodiment of the present application. Figure 6 As shown, the electronic device may include: a memory 601 storing executable program code; a processor 602 coupled to the memory 601; wherein the processor 602 calls the executable program code stored in the memory 601 to execute the busyness prediction method of the vehicle charging area disclosed in the above embodiments.

[0288] An embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the busyness prediction method of a vehicle charging area disclosed in the above embodiments.

[0289] The embodiments of the present application also disclose an application publishing platform, wherein the application publishing platform is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer executes part or all of the steps of the method in the above method embodiments.

[0290] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required for the present application.

[0291] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the above-mentioned processes does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0292] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0293] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0294] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to perform some or all of the steps of the above-mentioned methods of various embodiments of the present application.

[0295] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0296] The above is a detailed introduction to the busyness prediction method for the vehicle charging area and related products disclosed in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technicians in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for predicting the busyness of a vehicle charging area, characterized in that: The method comprises: Acquire first parameter data corresponding to at least one charging influencing factor in a vehicle charging area in a first time period in the future, wherein the charging influencing factor includes a charging demand factor, and the charging demand factor is used to characterize a charging supply and demand relationship in the vehicle charging area; A charging heat value corresponding to the vehicle charging area is determined according to the first parameter data respectively corresponding to the at least one charging influencing factor, wherein the charging heat value is used to indicate the charging busyness of the vehicle charging area in the first time period.

2. The method according to claim 1, characterized in that The charging heat value corresponding to the vehicle charging area includes: a first value corresponding to the charging demand factor; and determining the charging heat value corresponding to the vehicle charging area according to the first parameter data respectively corresponding to the at least one charging influencing factor includes: Determining a first charging supply and a vehicle charging demand corresponding to the vehicle charging area in the first time period according to the first parameter data corresponding to the charging demand factor; A first value corresponding to the charging demand factor is determined according to the first charging supply amount and the vehicle charging demand amount.

3. The method according to claim 2, characterized in that The first parameter data corresponding to the charging demand factor includes: the total power supply power of the vehicle charging area; the first charging supply includes the total power supply power; The determining, according to the first charging supply and the vehicle charging demand, a first value corresponding to the charging demand factor includes: Calculating a first difference between the vehicle charging demand and the total power supply; A first ratio between the first difference and the average power supply power of the charging equipment in the vehicle charging area is determined as a first value corresponding to the charging demand factor.

4. The method according to claim 2 or 3, characterized in that: The first parameter data corresponding to the charging demand factor also includes: a first vehicle flow rate of the vehicle charging area in the first time period; The determining, according to the first parameter data corresponding to the charging demand factor, the vehicle charging demand corresponding to the vehicle charging area in the first time period includes: Obtaining a pre-stored target proportion and a first charging degree, wherein the target proportion is the proportion of vehicles that need to be charged in the first vehicle flow, and the first charging degree is the average degree that each vehicle needs to be charged; The vehicle charging demand corresponding to the vehicle charging area in the first time period is determined according to the target proportion, the first charging degree and the first vehicle flow rate of the vehicle charging area in the first time period.

5. The method according to claim 2 or 3, characterized in that: The first parameter data corresponding to the charging demand factor also includes: a second charging degree required by each vehicle in the vehicle charging area during the first time period; and determining the vehicle charging demand corresponding to the vehicle charging area during the first time period according to the first parameter data corresponding to the charging demand factor includes: The second charging degrees respectively required by each vehicle in the vehicle charging area in the first time period are accumulated and calculated to obtain the vehicle charging demand corresponding to the vehicle charging area in the first time period.

6. The method according to claim 1, characterized in that The charging influencing factors also include environmental factors and / or historical heat factors; the environmental factors include: at least one of temperature factors, weather factors, first road condition factors and second road condition factors; The temperature factor indicates the impact of ambient temperature on vehicle power consumption and vehicle battery capacity; the weather factor indicates the impact of weather type on vehicle power consumption; the first road condition factor indicates the congestion of the road leading into the vehicle charging area; the second road condition factor indicates the congestion of the road leaving the vehicle charging area.

7. The method according to claim 6, characterized in that The environmental factor includes: a temperature factor; the first parameter data corresponding to the temperature factor includes: a first environmental temperature of the vehicle charging area in a first time period; the charging heat value corresponding to the vehicle charging area includes: a second value corresponding to the temperature factor; The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: Acquire a pre-stored reference ambient temperature and a temperature impact factor, wherein the reference ambient temperature is a preset ambient temperature of the vehicle charging area under normal conditions, and the temperature impact factor indicates the degree of influence of the ambient temperature on the vehicle power consumption and the vehicle battery capacity; Calculating a second difference between the first ambient temperature and the reference ambient temperature; A second value corresponding to the temperature factor is determined according to the second difference and the temperature influence factor.

8. The method according to claim 7, characterized in that The temperature influence factor includes: a first temperature influence factor and a second temperature influence factor; the first temperature influence factor indicates the influence degree of the ambient temperature on increasing the power consumption of the vehicle, and the second temperature influence factor indicates the influence degree of the ambient temperature on reducing the battery capacity of the vehicle; The determining, according to the second difference and the temperature influence factor, a second value corresponding to the temperature factor includes: Determine a target index according to the second difference, the first temperature influence factor and the second temperature influence factor; A power operation is performed with the absolute value of the second difference as the base and the target index as the exponent to obtain a second value corresponding to the temperature factor.

9. The method according to claim 6, characterized in that The environmental factors include: weather factors; the first parameter data corresponding to the weather factors include: a weather index, and the weather index is positively correlated with the severity of the weather in the vehicle charging area during the first time period; the charging heat value corresponding to the vehicle charging area includes: a third value corresponding to the weather factor; The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: The weather index is determined as a third value corresponding to the weather factor.

10. The method according to claim 6, characterized in that The environmental factor includes: a first road condition factor; the first parameter data corresponding to the first road condition factor includes: a first road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area in a first time period; the charging heat value corresponding to the vehicle charging area includes: a fourth value corresponding to the first road condition factor; The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: The first road condition index is determined as a fourth value corresponding to the first road condition factor.

11. The method according to claim 6, characterized in that The environmental factor includes: a second road condition factor; the first parameter data corresponding to the second road condition factor includes: a first road condition index and a second road condition index, the first road condition index is positively correlated with the congestion level of the road entering the vehicle charging area within a first time period, and the second road condition index is positively correlated with the congestion level of the road leaving the vehicle charging area within the first time period; the charging heat value corresponding to the vehicle charging area includes: a fifth value corresponding to the second road condition factor; The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: Calculating a third difference between the first road condition index and the second road condition index; If the first road condition index is greater than 0, determining the absolute value of the third difference as the fifth value corresponding to the second road condition factor; If the first road condition index is 0, 0 is determined as the fifth value corresponding to the second road condition factor.

12. The method according to claim 6, characterized in that The first parameter data corresponding to the historical heat factor includes: a historical charging heat value, which is a charging heat value corresponding to the vehicle charging area in a historical time period, and the historical time period is a time period with the highest charging heat value in the history of the vehicle charging area; the charging heat value corresponding to the vehicle charging area includes: a sixth value corresponding to the historical heat factor; The determining, according to the first parameter data respectively corresponding to the at least one charging influencing factor, a charging heat value corresponding to the vehicle charging area includes: Determining, according to the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period; A sixth value corresponding to the historical heat factor is determined according to the historical charging heat value and the second ratio.

13. The method according to claim 12, characterized in that The first parameter data corresponding to the historical heat factor also includes: a first vehicle flow rate of the vehicle charging area in the first time period, a second vehicle flow rate of the vehicle charging area that can meet the charging demand in the first time period, and a third vehicle flow rate of the vehicle charging area in the historical time period; The determining, based on the first parameter data corresponding to the historical heat factor, a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period includes: calculating a fourth difference between the first vehicle flow and the second vehicle flow; calculating a fifth difference between the third vehicle flow and the second vehicle flow; The ratio of the fourth difference to the fifth difference is determined as a second ratio of the charging redundancy level corresponding to the vehicle charging area in the first time period to the charging redundancy level corresponding to the historical time period.

14. The method according to any one of claims 1 to 3 and 6 to 13, characterized in that: The method further comprises: Obtain charging heat values ​​corresponding to the vehicle charging area in multiple time periods respectively; The changing trend of the charging busyness of the vehicle charging area is analyzed according to the charging heat values ​​corresponding to the multiple time periods, to obtain a first analysis result, which reflects the changing trend of the charging busyness of the vehicle charging area.

15. The method according to any one of claims 1 to 3 and 6 to 13, characterized in that: After determining the charging heat value corresponding to the vehicle charging area according to the factor sub-item values ​​respectively corresponding to the at least one charging influencing factor, the method further includes: According to the charging heat value corresponding to the vehicle charging area, scheduling information of the movable charging equipment in the vehicle charging area within the first time period is determined, and the scheduling information reflects the number of movable charging equipment that needs to be scheduled to the vehicle charging area within the first time period.

16. The method according to claim 15, characterized in that The determining, according to the charging heat value corresponding to the vehicle charging area, the scheduling information of the movable charging device in the vehicle charging area within the first time period includes: If the charging heat value corresponding to the vehicle charging area is greater than the heat threshold, determining the number of devices according to the charging demand of the vehicle charging area in the first time period, the first charging supply and the second charging supply of the mobile charging device, where the number of devices is the number of mobile charging devices that need to be dispatched to the vehicle charging area; The number of devices is determined as scheduling information of movable charging devices in the vehicle charging area within the first time period.

17. A device for predicting the busyness of a vehicle charging area, characterized in that: The device comprises: A first acquisition unit is used to acquire first parameter data corresponding to at least one charging influencing factor in a vehicle charging area in a first time period in the future, wherein the charging influencing factor includes a charging demand factor, and the charging demand factor is used to characterize the charging supply and demand relationship of the vehicle charging area; The first determination unit is used to determine a charging heat value corresponding to the vehicle charging area according to the first parameter data corresponding to the at least one charging influencing factor, wherein the charging heat value indicates the charging busyness of the vehicle charging area in the first time period.

18. An electronic device, characterized in that: It comprises a memory storing executable program code, and a processor coupled to the memory; wherein the processor calls the executable program code stored in the memory to execute the method according to any one of claims 1 to 16.

19. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 16 is implemented.

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