Demand satisfaction rate anomaly detection method and device and charging system

Abstract

A demand satisfaction rate anomaly detection method and device and a charging system are applied to group charging equipment, and the method comprises the steps: obtaining a target order of target new energy equipment; obtaining a charging / discharging period of the target new energy equipment according to the target order; obtaining the maximum number of execution terminals or the maximum number of new energy equipment for parallel charging / discharging in the charging / discharging period; obtaining the maximum distribution energy which can be distributed to the target new energy equipment by the corresponding group charging group of the group charging equipment; according to the maximum number of the execution terminals or the maximum number of the new energy devices and the maximum distribution energy, obtaining average distribution energy; obtaining the required energy of the target new energy equipment; and according to the average distribution energy and the demand energy, obtaining an energy demand satisfaction rate of the target order, the energy demand satisfaction rate of the target order being used for judging an abnormal condition of the energy demand satisfaction rate of the group charging device for the target new energy device. The invention also provides a demand satisfaction rate anomaly detection device and a charging system.

Description

Technical Field

[0001] The present invention relates to the field of new energy charging, and in particular to the field of demand satisfaction rate detection of new energy group charging equipment. Background Art

[0002] With the rapid development of the new energy electric vehicle industry, the public's understanding of electric vehicles and their charging facilities has deepened, and their expectations for charging services have also increased. User demand has changed from the initial "ability to charge" to "fast charging", especially at public fast charging stations, where this demand is particularly urgent. In order to quantify the speed of charging, the industry has introduced two key indicators: "demand power satisfaction rate" and "demand current satisfaction rate".

[0003] However, during the charge / discharge cycle of a new energy vehicle, the charge / discharge power provided by the execution terminal, the charge / discharge demand power of the new energy vehicle, and the number of new energy vehicles that are simultaneously charged / discharged by the group charging group of the group charging device are all changing. Therefore, how to accurately judge the abnormal situation of the energy demand satisfaction rate of the new energy vehicle during the charging / discharging process of the group charging device is currently a technical problem that needs to be solved urgently. Summary of the invention

[0004] In order to solve the problem that there is currently no effective method to detect abnormal demand satisfaction rate of group charging devices, the present invention proposes a method for detecting abnormal demand satisfaction rate, which is applied to group charging devices. The method includes the following steps:

[0005] Obtain target orders for target new energy equipment;

[0006] Obtaining a charge / discharge cycle of a target new energy device according to the target order;

[0007] Obtaining the maximum number of execution terminals or the maximum number of new energy devices for parallel charging / discharging during the charging / discharging cycle, wherein the maximum number of execution terminals is the maximum number of execution terminals that simultaneously perform charging / discharging under the same charging group, and the maximum number of new energy devices is the maximum number of new energy devices that simultaneously receive charging / discharging from the same charging group;

[0008] Obtaining the maximum allocated energy that can be allocated by the corresponding group charging group of the group charging device to the target new energy device;

[0009] Obtaining average distributed energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distributed energy;

[0010] Obtain the required energy of the target new energy equipment;

[0011] According to the average distributed energy and the required energy, the energy demand satisfaction rate of the target order is obtained, and the energy demand satisfaction rate of the target order is used to determine the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device.

[0012] In one embodiment of the demand satisfaction rate anomaly detection method, the step of obtaining the maximum allocated energy that can be allocated to the target new energy device by the corresponding group charging group of the group charging device further includes:

[0013] The marked maximum allocated energy or the actual maximum allocated energy of the target execution terminal that performs charging / discharging for the target new energy device in the corresponding group charging group of the group charging device is obtained.

[0014] In one embodiment of the demand satisfaction rate anomaly detection method, the step of obtaining the average distributed energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distributed energy further includes:

[0015] The average distributed energy is calculated according to the formula A=M / N, wherein A represents the average distributed energy, M represents the maximum distributed energy, and N represents the maximum number of execution terminals or the maximum number of new energy devices.

[0016] In one embodiment of the demand satisfaction rate anomaly detection method, the step of obtaining the required energy of the target new energy equipment further includes:

[0017] The marked required energy or average required energy of the target new energy equipment during the charge / discharge cycle is obtained.

[0018] In one embodiment of the demand fulfillment rate anomaly detection method, the step of obtaining the energy demand fulfillment rate of the target order according to the average distributed energy and the required energy further includes:

[0019] The energy demand satisfaction rate of the target order is calculated according to the formula P=A / R, wherein R represents the required energy, P represents the energy demand satisfaction rate, and A represents the average distributed energy.

[0020] In one embodiment of the demand satisfaction rate abnormality detection method, the step of using the energy demand satisfaction rate of the target order to determine the abnormality of the energy demand satisfaction rate of the group charging device for the target new energy device further includes:

[0021] When the energy demand satisfaction rate of the target order is less than a first threshold, the energy demand satisfaction rate is abnormal;

[0022] When the energy demand satisfaction rate of the target order is greater than or equal to the first threshold, the energy demand satisfaction rate is normal.

[0023] In one embodiment of the demand satisfaction rate abnormality detection method, the step of using the energy demand satisfaction rate of the target order to determine the abnormality of the energy demand satisfaction rate of the group charging device for the target new energy device also includes:

[0024] The energy demand satisfaction rate of the target order is comprehensively analyzed with historical data to determine abnormal situations of the energy demand satisfaction rate.

[0025] In one embodiment of the demand fulfillment rate anomaly detection method, the step of comprehensively analyzing the energy demand fulfillment rate of the target order and historical data to determine the abnormality of the energy demand fulfillment rate further includes:

[0026] Obtain historical orders for the target new energy equipment;

[0027] The energy demand satisfaction rate of the target order is compared with the energy demand satisfaction rate of the historical orders of the target new energy equipment to determine whether the energy demand satisfaction rate of the target order is abnormal.

[0028] In one embodiment of the demand fulfillment rate anomaly detection method, the step of comprehensively analyzing the energy demand fulfillment rate of the target order and historical data to determine the abnormality of the energy demand fulfillment rate further includes:

[0029] Obtaining a plurality of target orders corresponding to the group charging group within a period of time;

[0030] Obtaining energy demand satisfaction rates of new energy equipment of the same type as the target new energy equipment in a plurality of the target orders;

[0031] The energy demand satisfaction rate of the target order is compared with the energy demand satisfaction rate of the same type of new energy equipment to determine whether the energy demand satisfaction rate of the target order is abnormal.

[0032] In one embodiment of the demand satisfaction rate anomaly detection method, the step of comprehensively analyzing the energy demand satisfaction rate of the target order and historical data to determine the abnormality of the energy demand satisfaction rate further includes:

[0033] Obtaining a plurality of target orders corresponding to the group charging group within a period of time;

[0034] Classifying the plurality of target orders for parallel charging / discharging according to the type of the new energy equipment;

[0035] The energy demand satisfaction rate of each type of new energy equipment is statistically analyzed to obtain the energy demand satisfaction result of the group charging group for each type of new energy equipment;

[0036] The group charging group compares the overall energy demand satisfaction of all types of new energy equipment with a second threshold value to determine whether the group charging group needs to improve the output energy configuration.

[0037] In one embodiment of the demand satisfaction rate anomaly detection method, the step of obtaining the required energy of the target new energy equipment according to the target order further includes:

[0038] The user inputs the required energy according to his own needs.

[0039] In one embodiment of the method for detecting abnormal demand satisfaction rate, the method further includes the step of: when the energy demand satisfaction rate of the group charging device for the target new energy device is abnormal, further analyzing the cause of the abnormal energy demand satisfaction rate according to the target order.

[0040] In one embodiment of the method for detecting abnormal demand satisfaction rate, the required energy, the maximum allocated energy and the average allocated energy may all be required power and / or required current.

[0041] The present invention also provides a demand satisfaction rate anomaly detection device, which is used to implement any of the above methods, including:

[0042] A target order acquisition module is used to obtain target orders for target new energy equipment;

[0043] A charge / discharge cycle acquisition module, used to obtain the charge / discharge cycle of the target new energy device according to the target order;

[0044] The maximum parallel charge and discharge number acquisition module is used to obtain the maximum number of execution terminals or the maximum number of new energy devices for parallel charge / discharge in the charge / discharge cycle. The maximum number of execution terminals is the maximum number of execution terminals that simultaneously execute charge / discharge under the same charging group, and the maximum number of new energy devices is the maximum number of new energy devices that simultaneously receive charge / discharge from the same charging group;

[0045] A maximum allocated energy acquisition module, used to obtain the maximum allocated energy that can be allocated to the target new energy device by the corresponding group charging group of the group charging device;

[0046] An average distribution energy acquisition module, used to obtain average distribution energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distribution energy;

[0047] A demand energy acquisition module is used to obtain the demand energy of the target new energy equipment;

[0048] An energy demand satisfaction rate acquisition module, used for obtaining the energy demand satisfaction rate of the target order according to the average distributed energy and the required energy;

[0049] The energy demand satisfaction rate abnormality judgment module is used to judge the abnormality of the energy demand satisfaction rate of the group charging device for the target new energy device according to the energy demand satisfaction rate of the target order.

[0050] The present invention also provides a charging system, comprising: at least one charging station, and a management cloud platform for managing the charging station, wherein the charging station further comprises at least one group of charging devices, and the management cloud platform also comprises the above-mentioned device.

[0051] The present invention also discloses a storage medium for storing a computer control program, wherein the computer control program is used to execute the steps of any of the above methods.

[0052] The present invention also provides a computer program product, comprising a computer program, which implements the steps of any one of the above methods when executed by a processor.

[0053] The present invention provides a method for detecting abnormal demand satisfaction rate applied to group charging equipment, by determining the maximum number of execution terminals or the maximum number of new energy devices that perform charging / discharging operations in parallel in the same group charging group within the target order charging / discharging cycle, the corresponding average allocated energy, and analyzing it with the required energy of the target new energy device, to obtain the energy demand satisfaction rate of the target order, which is used to judge the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device during the charging / discharging process. Since the demand satisfaction rate abnormality detection method can dynamically adapt to the changes in the number of new energy devices / execution terminals and the allocated energy, it can accurately obtain the energy demand satisfaction rate of the target order, which is used to accurately judge the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device during the charging / discharging process, so as to obtain, monitor and dynamically optimize the resource configuration of the charging / discharging power related components for the operation and maintenance / operation party, thereby not only ensuring that the energy demand of the new energy device is met during the charging / discharging process of the group charging device, but also improving the utilization rate of the charging / discharging resources of the group charging device, avoiding resource waste, and thus improving the user charging experience.

[0054] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A flow chart of a method for detecting abnormal demand satisfaction rate of a group charging device according to an embodiment of the present invention is shown.

[0056] Figure 2 A schematic diagram showing the composition of a group charging device in a charging station according to an embodiment of the present invention is shown.

[0057] Figure 3 A schematic diagram showing an abnormal detection result of energy demand satisfaction rate according to an embodiment of the present invention is shown.

[0058] Figure 4 A schematic diagram showing abnormal detection results of energy demand satisfaction rate in another embodiment of the present invention is shown.

[0059] Figure 5 A flow chart of a method for detecting abnormal demand satisfaction rate of a group charging device in another embodiment of the present invention is shown.

[0060] Figure 6 A block diagram of a device for detecting abnormal demand satisfaction rate of a group charging device according to an embodiment of the present invention is shown.

[0061] Figure 7 A block diagram of a charging system according to an embodiment of the present invention is shown.

[0062] Wherein, the reference numerals are:

[0063] S1-S7…Steps

[0064] S10-S70…Steps

[0065] 1…Charging station

[0066] 1a…Group charging equipment

[0067] 1b… Single charging device

[0068] 2…Manage the cloud platform

[0069] 3…New energy equipment

[0070] 3'…Target new energy equipment

[0071] 4…Target Order

[0072] 10…Demand satisfaction rate anomaly detection device for group charging equipment

[0073] 11…Target order acquisition module

[0074] 12…Charge and discharge cycle acquisition module

[0075] 13… Maximum parallel charge and discharge quantity acquisition module

[0076] 14…Maximum allocation energy acquisition module

[0077] 15…Evenly distribute energy harvesting modules

[0078] 16…Required Energy Acquisition Module

[0079] 17…Energy demand satisfaction rate acquisition module

[0080] 18…Energy demand satisfaction rate abnormality judgment module

[0081] 100…Charging system

[0082] 20…Group recharge

[0083] 21…Power module group

[0084] 22…Power distribution components

[0085] 30…Power module

[0086] 40...Power distribution module

[0087] 50…Execute terminal

[0088] 50'…Target execution terminal

[0089] Specific implementation issues

[0090] The following specific embodiments and accompanying drawings are used to illustrate the embodiments disclosed in the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. However, the contents disclosed below are not intended to limit the scope of protection of the present invention. Without departing from the spirit of the present invention, those skilled in the art can implement the present invention with other different embodiments based on different viewpoints and applications.

[0091] For the sake of clarity, the drawings of the present invention are simplified schematic diagrams to illustrate the basic structure of the present invention. Therefore, the structures shown in the drawings of the present invention are not drawn according to the shape and size ratio of the actual implementation. For example, the size of a specific component is exaggerated for the convenience of explanation.

[0092] In addition, it should be understood that when a component such as a layer, film, region, or substrate is referred to as being "on" or "connected to" another component, it can be directly on or connected to the other component, or intermediate components may also exist. In contrast, when a component is referred to as being "directly on" or "directly connected to" another component, there are no intermediate components. As used herein, "connected" can refer to physical and / or electrical connections. Furthermore, "electrically connected" or "coupled" can mean the presence of other components between two components.

[0093] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as understood by a person of ordinary skill in the art to which the invention belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and the present invention, and will not be interpreted as an idealized or overly formal meaning unless explicitly defined as such herein.

[0094] In addition, it should be understood that although the terms "first", "second", "third", etc. may be used herein to describe various components, parts, regions, layers and / or parts, these components, parts, regions, and / or parts should not be limited by these terms. These terms are only used to distinguish one component, part, region, layer or part from another component, part, region, layer or part. Therefore, the "first component", "component", "region", "layer" or "part" discussed below may be referred to as a second component, part, region, layer or part without departing from the teachings of this article.

[0095] It should be understood that references in the specification to "one embodiment", "an embodiment", "an example embodiment", etc., mean that the embodiment being described may include certain features, structures, or characteristics, but does not necessarily include these certain features, structures, or characteristics. In addition, such expressions do not refer to the same embodiment. Further, when a certain feature, structure, or characteristic is described in conjunction with an embodiment, it is indicated that it is within the knowledge of those skilled in the art to combine such feature, structure, or characteristic into other embodiments, whether or not it is explicitly described.

[0096] Certain words are used in the specification and subsequent claims to refer to specific modules, components or parts. It should be understood by those of ordinary skill in the art that technical users or manufacturers may refer to the same module, component or part by different nouns or terms. This specification and subsequent claims do not use differences in names as a way to distinguish modules, components or parts, but use differences in the functions of modules, components or parts as the criteria for distinction. "Including" and "including" mentioned throughout the specification and subsequent claims are open-ended terms and should be interpreted as "including but not limited to". In addition, the word "connect" here includes any direct and indirect electrical connection means. Indirect electrical connection means include connection through other devices.

[0097] Furthermore, in the following specification and claims, reference will be made to a number of terms which shall be defined as having the following meanings. The singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. "Optional" or "optionally" means that the subsequently described event or circumstance may or may not occur, and that the description includes instances where the event occurs and instances where it does not.

[0098] See also Figure 1 and Figure 2 ,like Figure 2The group charging device 1a shown in the figure includes at least one group charging group 20, each group charging group 20 includes one or more power modules 30 and multiple execution terminals 50, each execution terminal 50 is used to perform charging / discharging operations for a new energy vehicle, and multiple execution terminals 50 share one or more power modules 30. In addition, the group charging device 1a also includes a power module group 21 and a power distribution component 22, the power module group 21 includes multiple power modules 30, the power distribution component 22 includes multiple power distribution modules 40 (PDU), the power distribution module 40 is connected to the execution terminal 50, and the power distribution component 22 can dynamically distribute the output power or current of one or more power modules 30 in the power module group 21 to each execution terminal 50 according to the power or current demand of the new energy vehicle, so that multiple execution terminals 50 share multiple power modules 30 in the power module group 21. However, during a charge / discharge cycle of a new energy vehicle, the charge / discharge power provided by the execution terminal 50, the charge / discharge demand power of the new energy vehicle, and the number of new energy vehicles that are simultaneously charged / discharged by the group charging group 20 of the group charging device 1a are all changing. Therefore, the prior art is unable to accurately detect the abnormality of the energy demand satisfaction rate of the new energy vehicle during the charge / discharge process by the group charging device 1a. In order to solve the problem that there is currently no effective method for detecting abnormality of the demand satisfaction rate of the group charging device 1a, a method for detecting abnormality of the demand satisfaction rate is proposed. The method is applied to the group charging device 1a and includes the following steps:

[0099] Step S1: Obtain the target order 4 of the target new energy device 3'; Step S2: Obtain the charge / discharge cycle of the target new energy device 3' according to the target order 4; Step S3: Obtain the maximum number of execution terminals or the maximum number of new energy devices for parallel charging / discharging within the charge / discharge cycle, the maximum number of execution terminals is the maximum number of execution terminals that simultaneously execute charging / discharging under the same group charging group 20, and the maximum number of new energy devices is the maximum number of new energy devices 3 that are simultaneously charged / discharged by the same group charging group 20; Step S4: Obtain the maximum allocated energy that the corresponding group charging group 20 of the group charging device 1a can allocate to the target new energy device 3'; Step S5: Obtain the average allocated energy according to the maximum number of execution terminals or the maximum number of new energy devices, and the maximum allocated energy; Step S6: Obtain the required energy of the target new energy device 3'; Step S7: Obtain the energy demand satisfaction rate of the target order 4 according to the average allocated energy and the required energy, and the energy demand satisfaction rate of the target order 4 is used to judge the abnormality of the energy demand satisfaction rate of the group charging device 1a for the target new energy device 3'.

[0100] In one embodiment, the management cloud platform 2 manages at least one charging station 1, and the charging station 1 includes at least one group charging device 1a. The group charging device 1a allocates charging / discharging energy to the new energy device 3 according to the energy demand (such as power demand or current demand) of the new energy device 3 (such as a new energy vehicle, or other new energy devices 3, but not limited to this). In step S1, the management cloud platform 2 obtains an end message of a target order 4 (such as a charging order), and the target order 4 is an order generated by the target execution terminal 50' executing a charging process on the target new energy device 3'. The order end message mainly includes new energy device information, energy user information, order information, and charging device information. Among them, the new energy device information includes: centralized control address, Can address, terminal number, etc. The energy user information includes: customer name, customer mobile phone, customer vehicle related information, etc. The order information includes: order start time, order end time, charging amount, etc. The charging device information includes the type of charging device (group charging device 1a or single charging device 1b), charging device number, group charging group 20 number, execution terminal 50 number, etc.

[0101] The group charging device 1a adopts a power pool sharing mode of a power module group 21, including at least one group charging group 20. In a group charging group 20, multiple power modules 30 are formed into a power module group 21, and the power module group 21 is connected to multiple execution terminals 50 using a power distribution component 22. The power distribution component 22 manages multiple power distribution modules 40 and can dynamically distribute the output power of the power module group 21 to each execution terminal 50, so as to realize efficient sharing of resources. The execution terminal 50 is connected to the new energy device 3 in a one-to-one correspondence, and charges / discharges the new energy device 3. The power distribution module 40 is connected to multiple power modules 30 in the group charging group 20, and can also be connected to multiple power modules 30 of other group charging groups 20 (i.e., power distribution is performed across the group charging group 20) to dynamically adjust the power of the execution terminal 50.

[0102] In the above embodiment, steps S1 to S7 are all completed by the management cloud platform 2. It should be noted that steps S1 to S7 can also be completed by the management system of the charging station 1 or other systems or software that can implement its steps. The subsequent embodiments of this article are described using the management cloud platform 2 as an example, but are not limited to this.

[0103] In one embodiment, when obtaining the charge / discharge cycle and required energy of the target new energy device 3' according to the target order 4 in step S2: obtain the start time and end time of the target execution terminal 50' in the target order 4 to execute charge / discharge on the target new energy device 3'.

[0104] In one embodiment, the maximum number of execution terminals or the maximum number of new energy devices for parallel charging / discharging during the charging / discharging cycle of the target new energy device 3' is obtained in step S3; for example, for a group charging device 1a, for example, a group charging group 20 can support charging of 6 new energy devices 3 at the same time, and the maximum number of new energy devices for parallel charging / discharging in the group charging group 20 during the charging / discharging cycle is 3, then the maximum number of new energy devices is 3, which means that the power provided by multiple power modules is dynamically allocated to 3 new energy devices during the charging / discharging cycle. In addition, because the execution terminal 50 and the new energy device are in a one-to-one correspondence, the maximum number of new energy devices can be replaced by the maximum number of execution terminals.

[0105] In the above-mentioned implementation scheme, during the charge / discharge cycle of the target new energy device 3', because the charge / discharge cycles of other new energy devices 3 are not fixed and random, the number of new energy devices that are simultaneously charged / discharged in the group charging group 20 is variable. The maximum number of new energy devices within the charge / discharge cycle can cover the change in the number of new energy devices, and will improve the judgment standard of the energy demand satisfaction rate of the group charging device 1a, which is helpful to provide more abundant charging / discharging energy for the new energy devices.

[0106] In one embodiment, when the maximum allocated energy that the corresponding group charging group 20 of the group charging device 1a can allocate to the target new energy device 3' is obtained in step S4, the marked maximum allocated energy or the actual maximum allocated energy of the target execution terminal 50' that performs charging / discharging for the target new energy device 3' in the corresponding group charging group 20 of the group charging device 1a is obtained.

[0107] In the above implementation scheme, the management cloud platform 2 can obtain the charging equipment information according to the target order 4, obtain the basic information data of the charging station 1 account according to the charging equipment information, and obtain the maximum allocated power marked by the corresponding execution terminal 50 according to the basic information data of the station account, that is, obtain the maximum allocated energy marked. The maximum allocated power here refers to the maximum power that the corresponding execution terminal 50 can theoretically provide. In other words, for example, when there is only one target new energy device 3' charging in the group charging group 20, no other energy device 3 competes with the target new energy device 3' for charging resources, and the corresponding execution terminal 50 can provide the maximum power for the new energy device 3.

[0108] In addition, the maximum allocated energy marked by the execution terminal 50 refers to the software system of the group charging device 1a (by the operation and maintenance personnel according to the actual number of modules and module power of the charging station 1) recorded in advance in the charging station 1 ledger. In addition to using the maximum allocated energy marked by the execution terminal as the maximum allocated energy allocated by the group charging group 20 to the target new energy device 3', a further implementation scheme can also use the detected actual maximum allocated energy as the maximum allocated energy. In contrast, the maximum allocated energy marked by the execution terminal (the former) is not updated frequently, and the actual maximum allocated energy of the execution terminal actually detected (the latter) is more accurate. For example, the former may be due to the upgrade of the execution terminal 50 of the charging station 1, or the disassembly and maintenance of the power module 30, the module upgrade, etc., and the information of the execution terminal 50 of the charging station 1 is not updated in time, resulting in inaccurate marking of the maximum allocated energy. The actual maximum allocated energy of the execution terminal actually detected can be obtained based on the information reported by the group charging device 1a. Therefore, the beneficial effect is that the actual maximum allocated energy of the execution terminal actually detected is used to calculate the energy demand satisfaction rate corresponding to the target order 4, which can avoid the scene where the maximum allocated energy marked by the execution terminal is inaccurate to obtain an accurate energy demand satisfaction rate detection result.

[0109] In one embodiment, the step of obtaining the average distributed energy according to the maximum distributed energy and the maximum number of new energy devices in step S5 further includes:

[0110] The average distributed energy is calculated according to the formula A=M / N, where A represents the average distributed energy, M represents the maximum distributed energy, and N represents the maximum number of new energy devices.

[0111] In the above implementation scheme, since the maximum number of new energy devices or the maximum number of execution terminals corresponding to different target orders 4 are different, the beneficial effect of using average energy distribution is that it not only comprehensively considers the charging needs of each execution terminal 50 under the same group charging group 20 for the new energy device 3, but also actually changes according to the usage of the number of new energy devices under different target orders 4. Therefore, the energy demand satisfaction rate anomaly detection result obtained based on the average energy distribution not only considers user needs, but also fits the reality, which in turn helps to dynamically optimize the relevant resources of the group charging device 1a while meeting the energy needs of the new energy devices according to the energy demand satisfaction rate detection result.

[0112] In one embodiment, the step of obtaining the required energy of the target new energy device 3 ′ in step S6 further includes: obtaining the marked required energy or average required energy of the target new energy device 3 ′ during the charge / discharge cycle.

[0113] In the above implementation scheme, when the required energy (which can be the required power of charging / discharging or the required current of charging / discharging, and the charging required power is used as an example for explanation) is obtained according to the target order 4, the required power can be obtained by the management cloud platform 2 directly from the target order 4 by obtaining the marked required power of the target new energy device 3', or it can be the average required power calculated by the required power of the target new energy device 3' during the charging / discharging cycle. The required power of the target new energy device 3' in different time periods during the charging / discharging cycle is different. For example, when the charging amount reaches 80% of the total power, the required power of the target new energy device 3' will gradually decrease. In the above technical scheme, the required energy of the target new energy device 3' is obtained according to the target order 4 in a variety of ways, and the energy demand of the target new energy device 3' can be counted on a variety of scales. The beneficial effect is that obtaining the marked required energy will judge the energy demand satisfaction rate of the group charging device 1a with a stricter standard, which is helpful to provide more abundant charging and discharging energy to the new energy device, and obtaining the average required energy can more accurately judge the energy demand satisfaction rate of the group charging device 1a, which is helpful to provide efficient and accurate charging and discharging energy to the new energy device.

[0114] In one embodiment, the step of obtaining the energy demand satisfaction rate of the target order 4 according to the average distributed energy and the required energy in step S7 specifically includes:

[0115] The energy demand satisfaction rate of target order 4 is calculated according to the formula P=A / R, where R represents the required energy, P represents the energy demand satisfaction rate, and A represents the average distributed energy.

[0116] The step of determining the abnormality of the energy demand satisfaction rate of the group charging device 1a for the target new energy device 3' in step S7 further includes:

[0117] When the energy demand satisfaction rate of target order 4 is less than the first threshold, the energy demand satisfaction rate is abnormal;

[0118] When the energy demand satisfaction rate of target order 4 is greater than or equal to the first threshold, the energy demand satisfaction rate is normal.

[0119] For example, the first threshold value can be set to 80% or other better practice values, but is not limited thereto. By comparing the energy demand satisfaction rate of the target order 4 with the first threshold value, it is judged that the energy demand satisfaction rate provided by the group charging device 1a for the new energy device is abnormal. The beneficial effect is that the better threshold value is set in practice so that the group charging device 1a can reasonably configure the charging and discharging resources of the group charging device 1a under the premise of meeting the energy demand of the new energy device, thereby saving costs.

[0120] In one embodiment, a further implementation scheme, the step of using the target order's energy demand satisfaction rate to determine the abnormality of the energy demand satisfaction rate of the group charging device 1a for the target new energy device 3' further includes:

[0121] The energy demand satisfaction rate of target order 4 is comprehensively analyzed with historical data to determine abnormal energy demand satisfaction rate situations. There are many ways to comprehensively analyze the energy demand satisfaction rate of target order 4 with historical data, including historical data average value analysis, threshold analysis, energy demand satisfaction rate trend analysis, and cluster analysis. In the above implementation, the beneficial effect is that the energy demand satisfaction rate of target order 4 is comprehensively analyzed with historical data to determine abnormal energy demand satisfaction rate situations, and the energy demand satisfaction situation of the group charging device 1a for the required energy of new energy equipment can be determined from a statistical perspective, thereby monitoring whether the charging and discharging resource configuration of the group charging device 1a is reasonable.

[0122] In one embodiment, the energy demand satisfaction rate of the target order 4 is comprehensively analyzed with historical data, and the determination of abnormal energy demand satisfaction rate may specifically include: obtaining historical orders of the target new energy device 3' (in other words, the historical orders of the target new energy device obtained are the historical orders of the new energy device itself corresponding to the target order 4); when the energy demand satisfaction rate of the target order 4 is less than the average energy demand satisfaction rate in the historical orders, the energy demand satisfaction rate is abnormal, otherwise the energy demand satisfaction rate is normal. When the energy demand satisfaction rate of the target order 4 is less than the sum of the average energy demand satisfaction rate in the historical orders and an adjustment value, the energy demand satisfaction rate is abnormal, otherwise the energy demand satisfaction rate is normal. In a further implementation method, after determining that the energy demand satisfaction rate of the target order 4 is abnormal, the cause of the abnormality is analyzed, and corresponding notification, display, adjustment and other processing are made according to the cause; for example, when it is detected that most of the historical orders of the target new energy device 3' (for example, 80% of the historical orders, the proportion can be adjusted and is not limited to this) cannot meet the energy demand satisfaction rate of the target new energy device 3', it indicates that the current group charging device (or group charging group) cannot meet the energy demand satisfaction rate of the target new energy device 3', and the user can be notified to go to other group charging devices or other charging stations for charging / discharging. In the above implementation method, the beneficial effect is that the energy demand satisfaction rate of the target order 4 is analyzed with the historical data of the target new energy device 3' corresponding to the target order 4, and the judgment of the abnormal situation of the energy demand satisfaction rate of the target new energy device 3' by the group charging device 1a is more targeted, and thus can better provide users with customized charging and discharging energy configuration services.

[0123] In addition, in one embodiment, the group charging group 20 that charges and discharges the target new energy device 3' can also be used to obtain historical orders of the group charging group 20 for charging and discharging multiple new energy devices 3, and the energy demand satisfaction rate data of the same type of new energy devices as the target new energy device 3' (for example, all are the same brand and the same level of vehicles, or different brands of the same level of vehicles, or new energy vehicles with the same energy demand, but not limited to this) are summarized, and the energy demand satisfaction rate of the target order 4 is compared with the average value (or the average value plus an adjustment value) of the energy demand satisfaction rates in the historical orders of the same type of new energy devices 3 of the group charging group 20. If it is less than the average value (or the average value plus an adjustment value) of the historical energy demand satisfaction rates of the same type, the energy demand satisfaction rate of the target order 4 is abnormal, otherwise it is normal. Further, for example, the energy demand satisfaction rate of the target order 4 is compared with the first threshold value, and the result is abnormal. At this time, the energy demand satisfaction rate of the target order 4 is compared with the average value of the energy demand satisfaction rate of the same type of new energy equipment, and the result is normal, then the energy demand satisfaction rate detection result of the target order 4 is updated to be normal, and the management cloud platform 2 can detect the target order 4 of the target new energy equipment 3' this time, and record the detection result, for example, the energy demand satisfaction rate of the target order 4 is compared with the first threshold value. The reason for the abnormality is that the energy demand of the target new energy equipment 3' exceeds the energy demand of the same type of new energy equipment, and the detection result can be displayed to notify the user. In the above embodiment, the beneficial effect is that the energy demand satisfaction rate of the target order 4 is analyzed with the historical data of the same type of new energy equipment 3 of the target new energy equipment 3', and the abnormal situation of the energy demand satisfaction rate of the group charging device 1a for the same type of new energy equipment 3 is obtained, and the energy demand satisfaction rate of the group charging device 1a for the new energy equipment can be judged from a statistical perspective, thereby avoiding the abnormal energy demand satisfaction rate caused by the unique demand of a certain target new energy equipment 3', and further enabling the group charging device to better provide suitable charging / discharging resource configuration for the same type of new energy equipment.

[0124] In one embodiment, a group charging group 20 for charging and discharging a target new energy device 3' is used to obtain multiple target orders of the group charging group 20 within a period of time (i.e., a large number of historical orders of multiple new energy devices 3), and target orders with parallel charging / discharging in the charging / discharging cycle are extracted from a large number of target orders. The target orders with parallel charging / discharging are classified according to the type of new energy device 3 (for example, the model and series of new energy vehicles are classified), and the energy demand satisfaction rate of each type of new energy device 3 is statistically analyzed respectively (when the average value of the energy demand satisfaction rate of a type of new energy device is less than an overall satisfaction threshold, it is considered that the overall energy demand rate satisfaction of the type of new energy device 3 is insufficient) , the energy demand satisfaction result of the group charging group 20 for each type of new energy equipment 3 is obtained (the energy demand satisfaction result is satisfied or not satisfied), and the overall energy demand satisfaction of the group charging device 1a (or the group charging group 20) for all types of new energy equipment 3 is obtained through the energy demand satisfaction results of all types of new energy equipment 3. When the overall energy demand satisfaction is less than the second threshold, the charging / discharging energy (such as the power module group) of the group charging device 1a (or the group charging group 20) needs to be increased. On the contrary, when the overall energy demand satisfaction is greater than or equal to the second threshold, the charging / discharging energy of the group charging device 1a (or the group charging group 20) does not need to be increased, and the energy demand satisfaction rate of multiple new energy equipment can be met. A further implementation scheme, when obtaining multiple target orders of the group charging group 20 within a period of time, is to obtain the target order of a specific time period (such as the charging / discharging peak period) within the period of time (such as a month). In the above implementation, a beneficial effect is that the energy demand satisfaction rate of the target order 4 is analyzed with the historical data of multiple new energy devices 3 to obtain the abnormal situation of the overall energy demand satisfaction rate of the group charging device 1a for the new energy device 3, thereby providing data support for whether the group charging device needs to be expanded or the output energy needs to be improved.

[0125] Those skilled in the art should be aware that, in the above-mentioned multiple technical solutions for comprehensively analyzing the energy demand satisfaction rate of target order 4 and historical data, when obtaining historical orders, historical orders within a period of time (a period of time may be one month, one week, one day or the charge / discharge cycle of target order 4, but is not limited thereto) may be obtained and compared with the energy demand satisfaction rate in target order 4.

[0126] In one embodiment, the energy demand satisfaction rate of the target order 4 is comprehensively analyzed with historical data, and when the energy demand satisfaction rate is judged to be abnormal, the historical order of the target new energy device 3' is obtained; in addition to the energy demand satisfaction rate, the historical order also includes the ambient temperature during charging / discharging, and the corresponding relationship between the energy demand satisfaction rate and the ambient temperature is established through the historical data of the target new energy device 3', so as to obtain the influence factor of the ambient temperature on the energy demand satisfaction rate, and when judging whether the energy demand satisfaction rate is abnormal, the product of the first threshold and the temperature influence factor (for example, when the ambient temperature is 20 to 30 degrees Celsius, the temperature influence factor is 1, that is, it has no influence on the energy demand satisfaction rate, and when the ambient temperature is less than 0 degrees Celsius, the temperature influence factor is 0.9) is compared with the energy demand satisfaction rate of the target order 4, and then it is judged whether the energy demand satisfaction rate is abnormal. The temperature influence factor can be obtained through the historical order of the target new energy device 3', and can also be obtained from the historical orders of multiple new energy devices corresponding to the group charging group 20. In the above implementation, a beneficial effect is that when the energy demand satisfaction rate of the target order 4 is comprehensively analyzed with historical data, the influence of the external environment of the group charging group 20 on charging / discharging is also considered, so that the energy demand satisfaction of the group charging device 1a for the required energy of new energy equipment can be judged more accurately and reasonably, thereby monitoring whether the charging and discharging resource configuration of the group charging device 1a is reasonable, and providing operation and maintenance, resource optimization, and configuration decision support for operation and maintenance personnel, charging station operators and other relevant entities.

[0127] In one embodiment, when the detection result of abnormal energy demand satisfaction rate is displayed, Figure 3 and Figure 4 As shown, the energy demand satisfaction rate abnormality detection result is displayed in the target order 4, and the target order 4 can be located in any one or more of the group charging device 1a, the user smart terminal, the new energy device 3 and the management cloud platform 2. Figure 3 As shown, a schematic diagram showing the abnormal detection result of energy demand satisfaction rate is drawn, wherein the energy demand of the new energy equipment is 66.9KW, the maximum allocated energy of the group charging group 20 is 150KW, the maximum number of execution terminals or the maximum number of new energy equipment is 3, the average allocated energy is 50KW, and the energy demand satisfaction rate is 74.70%, which is less than the first threshold value of 80%. Therefore, the abnormal detection result of the energy demand satisfaction rate is abnormal. Figure 4In which the energy demand of the new energy equipment is 29.7KW, the maximum allocated energy of the group charging group 20 is 150KW, the maximum number of execution terminals or the maximum number of new energy equipment is 1, the average allocated energy is 150KW, and the energy demand satisfaction rate is 504.86%, which is greater than the first threshold of 80%, so the abnormal detection result of the energy demand satisfaction rate is normal. The above judgment of whether the energy demand satisfaction rate of the new energy equipment of the group charging group 20 is abnormal uses the method of comparing with the first threshold value, and it can also be judged by comprehensive analysis of historical data as in the above embodiment.

[0128] In the above implementation scheme, the abnormal detection result of the energy demand satisfaction rate can be displayed in the charging completion interface of the target order 4, and the abnormal detection result of the energy demand satisfaction rate can be used to reflect whether the installed capacity of the corresponding group charging group 20 meets the demand. In a further implementation scheme, the overall installed capacity status of the current charging station 1 can also be displayed in the target order 4. The management cloud platform 2 can monitor the operation of the charging station 1 based on the accumulation of this data, formulate optimization strategies for the relevant resources of the group charging equipment 1a, and dynamically adjust the station installed capacity based on the detection results of the energy demand satisfaction rate.

[0129] In one embodiment, the step of obtaining the required energy of the target new energy equipment 3 ′ according to the target order 4 further includes: the user inputs the required energy according to his own needs.

[0130] In the above implementation scheme, for example, the user needs to eat and rest while charging, and does not need very fast charging. At this time, the user can input the required energy, such as power, current or charging required time, by himself when charging. The management cloud platform 2 can obtain this required energy through the target order 4, so as to charge the target new energy device 3' to meet the user's own needs. In a further implementation scheme, the management cloud platform 2 adjusts the charging fee or deducts points when dynamically allocating energy according to the required energy input by the user to meet the user's energy needs as much as possible. For example, the new energy devices 3 that are being charged simultaneously in the current group charging group 20 have reached the maximum, and the actual charging energy provided cannot reach the required energy input by the user. At this time, the management cloud platform 2 can send a notification to the user to perform resource scheduling across the group charging groups 20, and allocate the idle energy of other group charging groups 20 with idle energy to the user's new energy device to meet the energy needs input by the user.

[0131] In one embodiment, the required energy, the maximum allocated energy, and the average allocated energy may all be required power and / or required current.

[0132] It should be understood that the averagely distributed energy corresponds to the required energy. When the required energy is the required power, the corresponding averagely distributed energy is power. When the required energy is the required current, the corresponding averagely distributed energy is current.

[0133] In one embodiment, as described above, after the energy demand satisfaction rate detection result of the target order 4 is abnormal, the cause of the abnormal energy demand satisfaction rate is further analyzed, for example, the energy demand of the target new energy device 3' corresponding to the target order 4 is too high and exceeds the average of the same type of new energy devices; or because there are other new energy devices 3 that are charged / discharged in parallel during the charge / discharge cycle of the target order 4, the energy allocated by the group charging device cannot meet the energy demand of the target new energy device 3'; or the maximum allocated energy of the current group charging device itself cannot meet the energy demand of the target new energy device 3', etc. In the above implementation, the beneficial effect is that after the energy demand satisfaction rate detection result of the target order 4 is abnormal, the cause of the abnormal energy demand satisfaction rate is further analyzed, so that users or staff can understand the cause of the abnormality, and then provide data support or recommend solutions to solve the abnormality, and can also monitor whether the charging and discharging resource configuration of the group charging device 1a is reasonable, and provide operation and maintenance personnel, charging station operators and other related entities with operation and maintenance and resource optimization, configuration decision support.

[0134] like Figure 5 FIG. 2 is a flow chart of a method for detecting abnormal demand satisfaction rate of a group charging device 1a in another embodiment. Figure 5 The flowchart of abnormal detection of energy demand satisfaction rate when the target new energy vehicle is charged at the No. 11 execution terminal in the No. 2 group charging group 20 of the No. 1 group charging device 1a is drawn. In step S10, the management cloud platform 2 obtains the target order 4 of the No. 11 execution terminal, and then obtains the start and end time of the target order 4, that is, the charging / discharging cycle, through the target order 4 in step S20, and then the management cloud platform 2 obtains the maximum number of new energy vehicles or the maximum number of execution terminals that are charged in parallel under the No. 2 group charging group 20 within the start and end time range of the target order 4 in step S30. In step S40, the management cloud platform 2 obtains the marked maximum allocated energy of the No. 11 execution terminal through the basic information data of the charging station ledger, and then in step S50, the average allocated energy is obtained by the formula "average allocated energy = marked maximum allocated energy / maximum number of new energy vehicles". , then obtain the marked required energy of the target new energy vehicle as the required energy through step S60, and finally obtain the energy demand satisfaction rate of target order 4 according to the required energy of the target new energy vehicle and the average distributed energy in step S70, and then compare the energy demand satisfaction rate with the first threshold to determine whether the energy demand satisfaction rate is abnormal, and compare "average distributed energy / required energy" with the first threshold. If it is less than the first threshold, the required power satisfaction rate of group charging device No. 1 1a for the target new energy vehicle is abnormal; if it is greater than or equal to the first threshold, it indicates that the required power satisfaction rate of group charging device No. 1 1a for the target new energy vehicle is normal, and the energy demand satisfaction rate abnormality detection result is displayed in target order 4.

[0135] In order to better realize the abnormal detection of the demand satisfaction rate of the group charging device 1a, Figure 6 As shown, a demand satisfaction rate anomaly detection device 10 is also disclosed, which is used to implement any one of the above methods, including:

[0136] A target order acquisition module 11, used to obtain a target order 4 of a target new energy device 3';

[0137] A charge / discharge cycle acquisition module 12, used to obtain the charge / discharge cycle of the target new energy device 3' according to the target order 4;

[0138] The maximum parallel charge / discharge number acquisition module 13 is used to obtain the maximum number of execution terminals or the maximum number of new energy devices for parallel charge / discharge in the charge / discharge cycle. The maximum number of execution terminals is the maximum number of execution terminals that simultaneously execute charge / discharge under the same charging group 20, and the maximum number of new energy devices is the maximum number of new energy devices that simultaneously receive charge / discharge from the same charging group 20;

[0139] The maximum allocated energy acquisition module 14 is used to obtain the maximum allocated energy that the corresponding group charging group 20 of the group charging device 1a can allocate to the target new energy device 3';

[0140] The average distribution energy acquisition module 15 is used to obtain the average distribution energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distribution energy;

[0141] The energy demand acquisition module 16 is used to obtain the energy demand of the target new energy device 3';

[0142] The energy demand satisfaction rate acquisition module 17 is used to obtain the energy demand satisfaction rate of the target order 4 according to the average distribution energy and the required energy;

[0143] The energy demand satisfaction rate abnormality judgment module 18 is used to judge the abnormality of the energy demand satisfaction rate of the group charging device 1a for the target new energy device 3' according to the energy demand satisfaction rate of the target order 4.

[0144] In order to better realize the abnormal detection of the demand satisfaction rate of the group charging device 1a, Figure 7 As shown, a charging system 100 is also disclosed, including: at least one charging station 1, and a management cloud platform 2 for managing the charging station 1, the charging station 1 further includes at least one group charging device 1a and / or at least one single charging device 1b, and the management cloud platform 2 also includes the demand satisfaction rate anomaly detection device 10 of the above-mentioned group charging device 1a.

[0145] In order to better realize the abnormal detection of the demand satisfaction rate of the group charging device 1a, a storage medium is also provided for storing a computer control program, and the computer control program is used to execute the steps of any of the above methods. The above computer program can be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the technical field.

[0146] In order to better realize the abnormal detection of the demand satisfaction rate of the group charging device 1a, a computer program product is also provided, including a computer program, which implements the steps of any of the above methods when executed by a processor. The above-mentioned processor can be a central processing unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components and other chips, or a combination of the above-mentioned chips.

[0147] The above-mentioned demand satisfaction rate anomaly detection method, device and charging system provide a method, device and charging system, by determining the maximum number of execution terminals or the maximum number of new energy devices that perform charging / discharging operations in parallel in the same group charging group within the target order charging / discharging cycle, the corresponding average allocated energy, and analyzing it with the required energy of the target new energy device, to obtain the energy demand satisfaction rate of the target order, which is used to judge the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device during the charging / discharging process. Since the demand satisfaction rate anomaly detection method can dynamically adapt to the changes in the number of new energy devices / execution terminals and the allocated energy, it can accurately obtain the energy demand satisfaction rate of the target order, which is used to accurately judge the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device during the charging / discharging process, so that the operation and maintenance / operation party can obtain, monitor and dynamically optimize the resource configuration of the charging / discharging power-related components, thereby not only ensuring that the energy demand of the new energy device is met during the charging / discharging process of the group charging device, but also improving the utilization rate of the charging / discharging resources of the group charging device, avoiding resource waste, and thus improving the user charging experience.

[0148] The above disclosed contents are only preferred feasible embodiments of the present invention, and do not limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made using the contents of the specification and drawings of the present invention fall within the scope of the patent application of the present invention.

Claims

1. A method for detecting abnormal demand satisfaction rate, applied to group charging equipment, characterized in that: The method comprises the following steps: Obtain target orders for target new energy equipment; Obtaining a charge / discharge cycle of a target new energy device according to the target order; Obtaining the maximum number of execution terminals or the maximum number of new energy devices for parallel charging / discharging during the charging / discharging cycle, wherein the maximum number of execution terminals is the maximum number of execution terminals that simultaneously perform charging / discharging under the same charging group, and the maximum number of new energy devices is the maximum number of new energy devices that simultaneously receive charging / discharging from the same charging group; Obtaining the maximum allocated energy that can be allocated by the corresponding group charging group of the group charging device to the target new energy device; Obtaining average distributed energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distributed energy; Obtain the required energy of the target new energy equipment; According to the average distributed energy and the required energy, the energy demand satisfaction rate of the target order is obtained, and the energy demand satisfaction rate of the target order is used to determine the abnormal situation of the energy demand satisfaction rate of the group charging device for the target new energy device.

2. The method according to claim 1, characterized in that The step of obtaining the maximum allocated energy that can be allocated to the target new energy device by the corresponding group charging group of the group charging device further includes: The marked maximum allocated energy or the actual maximum allocated energy of the target execution terminal that performs charging / discharging for the target new energy device in the corresponding group charging group of the group charging device is obtained.

3. The method according to claim 1, characterized in that According to the maximum number of execution terminals or the maximum number of new energy devices, and the maximum allocated energy, the step of obtaining averagely allocated energy further comprises: The average distributed energy is calculated according to the formula A=M / N, wherein A represents the average distributed energy, M represents the maximum distributed energy, and N represents the maximum number of execution terminals or the maximum number of new energy devices.

4. The method according to claim 1, characterized in that: The step of obtaining the required energy of the target new energy device further includes: The marked required energy or average required energy of the target new energy equipment during the charge / discharge cycle is obtained.

5. The method according to claim 3, characterized in that: The step of obtaining the energy demand satisfaction rate of the target order according to the average distributed energy and the required energy further includes: The energy demand satisfaction rate of the target order is calculated according to the formula P=A / R, wherein R represents the required energy, P represents the energy demand satisfaction rate, and A represents the average distributed energy.

6. The method according to claim 1, characterized in that The step of using the target order's energy demand satisfaction rate to determine an abnormality in the energy demand satisfaction rate of the group charging device for the target new energy device further includes: When the energy demand satisfaction rate of the target order is less than a first threshold, the energy demand satisfaction rate is abnormal; When the energy demand satisfaction rate of the target order is greater than or equal to the first threshold, the energy demand satisfaction rate is normal.

7. The method according to claim 1, characterized in that The step of using the target order's energy demand satisfaction rate to determine an abnormality in the energy demand satisfaction rate of the group charging device for the target new energy device also includes: The energy demand satisfaction rate of the target order is comprehensively analyzed with historical data to determine abnormal situations of the energy demand satisfaction rate.

8. The method according to claim 7, characterized in that The step of comprehensively analyzing the energy demand satisfaction rate of the target order and historical data to determine the abnormality of the energy demand satisfaction rate further includes: Obtain historical orders for the target new energy equipment; The energy demand satisfaction rate of the target order is compared with the energy demand satisfaction rate of the historical orders of the target new energy equipment to determine whether the energy demand satisfaction rate of the target order is abnormal.

9. The method according to claim 8, characterized in that The step of comprehensively analyzing the energy demand satisfaction rate of the target order and historical data to determine the abnormality of the energy demand satisfaction rate further includes: Obtaining a plurality of target orders corresponding to the group charging group within a period of time; Obtaining energy demand satisfaction rates of new energy equipment of the same type as the target new energy equipment in a plurality of the target orders; The energy demand satisfaction rate of the target order is compared with the energy demand satisfaction rate of the same type of new energy equipment to determine whether the energy demand satisfaction rate of the target order is abnormal.

10. The method according to claim 8, characterized in that The step of comprehensively analyzing the energy demand satisfaction rate of the target order and historical data to determine the abnormality of the energy demand satisfaction rate also includes: Obtaining a plurality of target orders corresponding to the group charging group within a period of time; Classifying the plurality of target orders for parallel charging / discharging according to the type of the new energy equipment; The energy demand satisfaction rate of each type of new energy equipment is statistically analyzed to obtain the energy demand satisfaction result of the group charging group for each type of new energy equipment; The group charging group compares the overall energy demand satisfaction of all types of new energy equipment with a second threshold value to determine whether the group charging group needs to improve the output energy configuration.

11. The method according to claim 1, 4 or 5, characterized in that: The step of obtaining the required energy of the target new energy equipment according to the target order also includes: The user inputs the required energy according to his own needs.

12. The method according to claim 1, characterized in that The method further includes the following steps: when the energy demand satisfaction rate of the target new energy equipment by the group charging device is abnormal, further analyzing the cause of the abnormal energy demand satisfaction rate according to the target order.

13. The method according to any one of claims 1 to 12, characterized in that: The required energy, the maximum allocated energy, and the average allocated energy may all be required power and / or required current.

14. A demand satisfaction rate anomaly detection device, used to implement the method according to any one of claims 1 to 13, characterized in that: include: A target order acquisition module is used to obtain target orders for target new energy equipment; A charge / discharge cycle acquisition module, used to obtain the charge / discharge cycle of the target new energy device according to the target order; The maximum parallel charge and discharge number acquisition module is used to obtain the maximum number of execution terminals or the maximum number of new energy devices for parallel charge / discharge in the charge / discharge cycle. The maximum number of execution terminals is the maximum number of execution terminals that simultaneously execute charge / discharge under the same charging group, and the maximum number of new energy devices is the maximum number of new energy devices that simultaneously receive charge / discharge from the same charging group; A maximum allocated energy acquisition module, used to obtain the maximum allocated energy that can be allocated to the target new energy device by the corresponding group charging group of the group charging device; An average distribution energy acquisition module, used to obtain average distribution energy according to the maximum number of execution terminals or the maximum number of new energy devices and the maximum distribution energy; A demand energy acquisition module is used to obtain the demand energy of the target new energy equipment; An energy demand satisfaction rate acquisition module, used for obtaining the energy demand satisfaction rate of the target order according to the average distributed energy and the required energy; The energy demand satisfaction rate abnormality judgment module is used to judge the abnormality of the energy demand satisfaction rate of the group charging device for the target new energy device according to the energy demand satisfaction rate of the target order.

15. A charging system comprising: At least one charging station and a management cloud platform for managing the charging station, wherein the charging station further comprises at least one group charging device and / or at least one single charging device, characterized in that the management cloud platform also includes the device as described in claim 14.

16. A storage medium for storing a computer control program, characterized in that: The computer control program is used to execute the steps of the method according to any one of claims 1 to 13.

17. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 13 are implemented.

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