CN117411150A

CN117411150A - Mobile energy storage power supply allocation method based on priority model and related equipment

Info

Publication number: CN117411150A
Application number: CN202311721991.8A
Authority: CN
Inventors: 陈信开; 胡晗; 梁海宁
Original assignee: Shenzhen Shengyoudeng Network Technology Co ltd
Current assignee: Shenzhen Shengyoudeng Network Technology Co ltd
Priority date: 2023-12-14
Filing date: 2023-12-14
Publication date: 2024-01-16
Anticipated expiration: 2043-12-14
Also published as: CN117411150B

Abstract

A deployment method and related equipment of a mobile energy storage power supply based on a priority model relate to the technical field of deployment based on a calculation model. In the method, the priorities of newly accessed charging equipment, all charging equipment which are in charging and all charging equipment to be charged are obtained according to a preset priority model; after the priority is obtained, updating the priority according to a first preset time weight sub-table; after updating the priority, updating the access list to obtain a new access list, and determining a corresponding charging strategy according to all kinds of data and all state data of all charging equipment in the new access list; charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list, and suspending charging all charging devices to be charged; the method improves the service efficiency of the mobile energy storage power supply, and is effectively distributed to the equipment which needs to be charged most, so that the electric quantity management efficiency is improved.

Description

Mobile energy storage power supply allocation method based on priority model and related equipment

Technical Field

The application relates to the technical field of deployment based on a computing model, in particular to a deployment method and related equipment of a mobile energy storage power supply based on a priority model.

Background

In recent years, with the increasing popularity of mobile devices, such as mobile phones, notebook computers, and electric tools, the need for mobile energy storage power supplies has also increased. The mobile energy storage power supply can provide necessary power for the devices, and charging is achieved without power grid power supply.

The current mobile energy storage power supply allocation scheme mainly uses a preset strategy, for example, charging is performed according to the access sequence of the equipment, or the electric quantity priority of the equipment, or all the equipment is charged at the same time.

When the output power of the mobile energy storage power supply cannot charge all the charging equipment at the same time, the electric quantity management efficiency is low. For example, there is no explicit prioritization method to decide which devices should be charged with priority, resulting in that power cannot be efficiently allocated to the most needed devices in case of limited power.

Disclosure of Invention

The application provides a method for allocating a mobile energy storage power supply based on a priority model and related equipment, which are used for improving electric quantity management efficiency.

In a first aspect, the present application provides a method for allocating a mobile energy storage power supply based on a priority model, including:

determining first type data and first state data of the newly-accessed charging equipment under the condition that the newly-accessed charging equipment is accessed; determining all second type data and all second state data of all charging devices which are being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time;

Inputting the first state data, all the second type data and all the third type data into a preset priority model to obtain the priorities of the newly accessed charging equipment, all the charging equipment which are being charged and all the charging equipment to be charged;

after the priority is obtained, splitting a preset time weight table according to columns of the current time in the preset time weight table to obtain a first preset time weight sub-table;

determining a first weight corresponding to the first type of data, a plurality of second weights corresponding to all second type of data respectively, and a plurality of third weights corresponding to all third type of data respectively in a first preset time weight sub-table;

updating priorities of newly accessed charging equipment, all charging equipment which are being charged and all charging equipment to be charged according to the first weight, the second weights and the third weights;

after updating the priority, updating the access list to obtain a new access list, so that a first charging device with the priority higher than a priority threshold is determined to be a charging device which is being charged, and a first charging device with the priority not higher than the priority threshold is determined to be a charging device which is to be charged, wherein the first charging device comprises the accessed charging devices, all charging devices which are being charged and all charging devices which are to be charged;

Determining a corresponding charging strategy according to all kinds of data and all state data of all charging devices in the new access list;

charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list;

suspending charging of all charging devices to be charged according to the new access list;

after the charging is suspended, the new access list is determined as an access list.

In the above embodiments, the power supply requirement of the high priority device can be preferentially satisfied among the plurality of access devices. By introducing weights of different device types at different times, the determination of priority is made more accurate and fine. The power supply is more efficient to use, and the unique requirements of different devices at different times can be met pertinently. In addition, through carrying out dynamic adjustment to the priority, can manage the electric quantity more effectively, reduce the risk because of the electric quantity is not enough brings. The method improves the service efficiency of the mobile energy storage power supply, and is effectively distributed to the equipment which needs to be charged most, so that the electric quantity management efficiency is improved.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the new access list as the access list, the method further includes:

Starting counting down according to a preset counting down time threshold;

executing the first type data and the first state data of the newly accessed charging equipment under the condition that the newly accessed charging equipment is accessed in the preset countdown time threshold; determining all second type data and all second state data of all charging devices being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time; and reset the countdown;

after a countdown time threshold is preset, under the condition that no newly accessed charging equipment is accessed, updating all second state data of all charging equipment in the access list to obtain updated second state data, and obtaining updated third state data of all charging equipment to be charged;

inputting all updated second state data and all updated third state data into a preset priority model to obtain priorities of all charging equipment which are being charged and all charging equipment to be charged;

after the priority is obtained, splitting a preset time weight table according to columns of the current time in the preset time weight table to obtain a second preset time weight sub-table;

Determining a plurality of fourth weights respectively corresponding to all second type data and a plurality of fifth weights respectively corresponding to all third type data in a second preset time weight sub-table according to all second type data and all third type data;

updating the priorities of all charging devices which are being charged and all charging devices to be charged according to the fourth weights and the fifth weights;

after updating the priority, updating the access list to obtain a new access list, so that a second charging device with the priority higher than a priority threshold is determined to be a charging device which is being charged, and a second charging device with the priority not higher than the priority threshold is determined to be a charging device which is to be charged, wherein the second charging device comprises all charging devices which are being charged and all charging devices which are to be charged;

In the above embodiment, after the countdown time threshold is preset, the type and state data of the devices being charged and to be charged are updated, and the priority of the devices is readjusted accordingly, so that the more fair and accurate allocation of the power source resources is realized. The strategy for dynamic updating and priority adjustment can be used for carrying out power supply allocation according to the real-time requirements and states of all the devices, and the use efficiency of the mobile energy storage power supply is effectively improved.

under the condition that the current electric quantity of any charging device in the access list reaches an electric quantity threshold value is determined, the charging device which is being charged and has the current electric quantity reaching the electric quantity threshold value is determined to be the charging device which is full;

suspending charging of the full-charged charging device;

deleting the full-charged charging equipment in the access list, and updating all second state data of all charging equipment in the access list to obtain updated second state data and all third state data of all charging equipment to be charged to obtain updated third state data;

And executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

In the above embodiment, after determining that the power of any access device reaches the threshold, the access device is regarded as a full-power device, and charging is suspended, and then the access device is deleted from the access list. This strategy effectively prevents overcharging of full-powered devices, thereby avoiding waste of power and possible device damage. The system then updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, so that the power supply resource allocation is fairer and more accurate.

In combination with some embodiments of the first aspect, in some embodiments, after the step of determining that the current charge of any charging device in the access list reaches the charge threshold, the charging device being charged that is currently reaching the charge threshold is determined to be a full charging device, the method further includes:

Deleting the charging equipment which is pulled out from the access list under the condition that any charging equipment which is being charged is pulled out from the access list;

updating all second state data of all charging devices being charged in the access list to obtain updated second state data and all third state data of all charging devices to be charged to obtain updated third state data;

In the above embodiment, after any charging device is detected to be unplugged, it is deleted from the access list, and then the status data of the remaining charging and charging devices are updated, and their priorities are recalculated. The dynamic priority adjustment strategy can respond to the access and the extraction of the equipment in real time, and power supply allocation is carried out according to the real-time state and the requirement of the equipment, so that the fairness and the accuracy of the power supply resource allocation are further realized.

In the case that the charging equipment to be charged in the access list is used, determining the charging equipment to be charged which is being used as the using charging equipment;

deleting the charging equipment used in the access list;

charging the used charging equipment according to a corresponding charging strategy;

In the above embodiment, when the device to be charged is detected to be in use, it is defined as a use charging device, and charging is performed according to the corresponding charging policy, and then deleted from the access list. This strategy ensures that the device being used is charged timely and effectively, thereby avoiding interruption of use due to insufficient power. At the same time, the system updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, and the fairness and the accuracy of power supply resource allocation are realized.

under the condition that the preferred charging instruction is received, determining charging equipment corresponding to the preferred charging instruction;

if the corresponding charging equipment is the charging equipment to be charged; determining a corresponding charging device as an instruction charging device;

deleting the instruction charging equipment in the access list;

charging the instruction charging equipment according to a corresponding charging strategy;

In the above embodiment, after receiving the preferred charging instruction, the corresponding device to be charged can be determined as the instruction charging device, and charging is performed according to the corresponding charging policy, and then deleted from the access list. The strategy can meet the charging requirement of the specific equipment of the user preferentially, and user experience is improved. Meanwhile, the system can recalculate the priority according to the state data of the rest charging and to-be-charged equipment, so that the dynamic allocation of the power supply resources is realized. The priority adjustment strategy can perform power resource allocation according to the real-time state and the requirement of the equipment, and fair and accurate power resource allocation is realized.

under the condition that the electric quantity of the charging equipment to be charged in the access list is lower than an electric quantity threshold value, determining the charging equipment to be charged which is lower than the electric quantity threshold value as the charging equipment which is needed urgently;

deleting the charging equipment which is needed urgently in the access list;

charging the charging equipment which is needed urgently according to a corresponding charging strategy;

In the above embodiment, when it is determined that the electric quantity of the device to be charged in the access list is lower than the electric quantity threshold, the device is defined as an emergency charging device, and charging is performed according to the corresponding charging policy, and then the charging is deleted from the access list. The strategy can preferentially ensure that the equipment with severely insufficient electric quantity is charged in time, so that the equipment cannot be used due to electric quantity exhaustion is avoided. At the same time, the system updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, and the fairness and the accuracy of power supply resource allocation are realized.

In a second aspect, an embodiment of the present application provides a deployment system of a mobile energy storage power supply based on a priority model, including:

the charging device comprises a determining state data module, a charging device receiving module and a charging device receiving module, wherein the determining state data module is used for determining first type data and first state data of the newly-accessed charging device under the condition that the newly-accessed charging device is determined to be accessed; determining all second type data and all second state data of all charging devices which are being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time;

the first data input module is used for inputting the first state data, all the second type data and all the third type data into a preset priority model to obtain the priorities of the newly accessed charging equipment, all the charging equipment which are being charged and all the charging equipment to be charged;

the first splitting module is used for splitting the preset time weight table according to the columns in the preset time weight table at the current time to obtain a first preset time weight sub-table after the priority is obtained;

the first weight determining module is used for determining a first weight corresponding to the first type of data, a plurality of second weights corresponding to all second type of data respectively, and a plurality of third weights corresponding to all third type of data respectively in the first preset time weight sub-table;

The first priority updating module is used for updating the priorities of the newly accessed charging equipment, all charging equipment which are being charged and all charging equipment to be charged according to the first weights, the second weights and the third weights;

the first list updating module is used for updating the access list to obtain a new access list after updating the priority, so that the first charging equipment with the priority higher than the priority threshold value is determined to be the charging equipment which is being charged, and the first charging equipment with the priority not higher than the priority threshold value is determined to be the charging equipment which is to be charged, wherein the first charging equipment comprises the accessed charging equipment, all the charging equipment which are being charged and all the charging equipment which are to be charged;

the first charging strategy determining module is used for determining a corresponding charging strategy according to all kinds of data and all state data of all charging devices in the new access list;

the first charging module is used for charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list;

the first suspension charging module is used for suspending charging of all charging equipment to be charged according to the new access list;

and the first list determining module is used for determining the new access list as the access list after the charging is stopped.

With reference to some embodiments of the second aspect, in some embodiments, the system further comprises:

the countdown module is used for starting countdown according to a preset countdown time threshold;

the first execution module is used for executing the first type data and the first state data of the newly-accessed charging equipment under the condition that the newly-accessed charging equipment is accessed within the preset countdown time threshold; determining all second type data and all second state data of all charging devices being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time; and reset the countdown;

the second execution module is used for updating all second state data of all charging devices being charged in the access list to obtain updated second state data and all third state data of all charging devices to be charged to obtain updated third state data under the condition that no newly accessed charging device is accessed after a countdown time threshold is preset;

the second data input module is used for inputting all updated second state data and all updated third state data into a preset priority model to obtain the priorities of all charging equipment which are being charged and all charging equipment to be charged;

The second splitting module is used for splitting the preset time weight table according to the columns in the preset time weight table at the current time to obtain a second preset time weight sub-table after the priority is obtained;

the second weight determining module is used for determining a plurality of fourth weights respectively corresponding to all second type data and a plurality of fifth weights respectively corresponding to all third type data in a second preset time weight sub-table according to all second type data and all third type data;

the second priority updating module is used for updating the priorities of all charging devices which are being charged and all charging devices to be charged according to a plurality of fourth weights and a plurality of fifth weights;

the second list updating module is used for updating the access list to obtain a new access list after updating the priority, so that the second charging equipment with the priority higher than the priority threshold value is determined to be the charging equipment which is being charged, and the second charging equipment with the priority not higher than the priority threshold value is determined to be the charging equipment which is to be charged, wherein the second charging equipment comprises all charging equipment which are being charged and all charging equipment which are to be charged;

the second charging strategy determining module is used for determining a corresponding charging strategy according to all kinds of data and all state data of all charging devices in the new access list;

The second charging module is used for charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list;

the second suspension charging module is used for suspending charging of all charging equipment to be charged according to the new access list;

and the second list determining module is used for determining the new access list as the access list after the charging is stopped.

the full power determining module is used for determining the charging equipment which is being charged and has the current electric quantity reaching the electric quantity threshold value as the full power charging equipment under the condition that the current electric quantity of any charging equipment which is being charged in the access list is determined to reach the electric quantity threshold value;

the third suspension charging module is used for suspending charging of the full-charged charging equipment;

the third execution module is used for deleting the full-charged charging equipment in the access list, updating all second state data of all charging equipment in the access list to obtain updated second state data, and updating all third state data of all charging equipment to be charged to obtain updated third state data;

and the fourth execution module is used for executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

the extraction module is used for deleting the charging equipment which is being charged and is extracted from the access list under the condition that any charging equipment which is being charged is determined to be extracted from the access list;

the fifth execution module is used for updating all second state data of all charging equipment in the access list to obtain updated second state data and all third state data of all charging equipment to be charged to obtain updated third state data;

and a sixth execution module, configured to execute a step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain priorities of all the charging devices being charged and all the charging devices to be charged.

the charging device comprises a use determining module, a charging control module and a charging control module, wherein the use determining module is used for determining the charging device to be charged which is being used as a using charging device under the condition that the charging device to be charged in the access list is determined to be used;

a seventh execution module, configured to delete the charging device used in the access list;

The eighth execution module is used for charging the charging equipment according to the corresponding charging strategy;

a ninth execution module, configured to update all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

the appointed determining module is used for determining the charging equipment corresponding to the preferential charging instruction under the condition that the preferential charging instruction is received;

the instruction charging equipment determining module is used for determining whether the corresponding charging equipment is to be charged; determining a corresponding charging device as an instruction charging device;

the first deleting module is used for deleting the instruction charging equipment in the access list;

the third charging module is used for charging the instruction charging equipment according to the corresponding charging strategy;

a tenth execution module, configured to update all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

And an eleventh execution module for executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices being charged and all the charging devices to be charged.

the charging module is used for determining the charging equipment to be charged, which is lower than the electric quantity threshold value, as the charging equipment to be charged under the condition that the electric quantity of the charging equipment to be charged in the access list is lower than the electric quantity threshold value;

the second deleting module is used for deleting the charging equipment which is needed urgently in the access list;

the fourth charging module is used for charging the equipment which needs to be charged suddenly according to the corresponding charging strategy;

a twelfth execution module, configured to update all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

and a thirteenth execution module for executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices being charged and all the charging devices to be charged.

In a third aspect, an embodiment of the present application provides a deployment system for a mobile energy storage power supply based on a priority model, where the system includes: one or more processors and memory;

the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that are invoked by the one or more processors to cause the deployment system of the priority model-based mobile energy storage power supply to perform the method as described in the first aspect and any one of the possible implementations of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a server, cause the server to perform a method as described in the first aspect and any possible implementation of the first aspect.

In a fifth aspect, embodiments of the present application provide a computer-readable storage medium, including instructions that, when executed on a deployment system of a mobile energy storage power supply based on a priority model, cause the deployment system of the mobile energy storage power supply based on the priority model to perform a method as described in any one of the first aspect and any one of the possible implementation manners of the first aspect.

It may be appreciated that the deployment system of the mobile energy storage power supply based on the priority model provided in the second aspect, the deployment system of the mobile energy storage power supply based on the priority model provided in the third aspect, the computer program product provided in the fourth aspect, and the computer storage medium provided in the fifth aspect are all configured to perform the deployment method of the mobile energy storage power supply based on the priority model provided in the embodiments of the present application. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.

One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. the allocation method of the mobile energy storage power supply based on the priority model can meet the power supply requirements of high-priority equipment in a plurality of access equipment preferentially. By introducing weights of different device types at different times, the determination of priority is made more accurate and fine. The power supply is more efficient to use, and the unique requirements of different devices at different times can be met pertinently. In addition, through carrying out dynamic adjustment to the priority, can manage the electric quantity more effectively, reduce the risk because of the electric quantity is not enough brings. The method improves the service efficiency of the mobile energy storage power supply, and is effectively distributed to the equipment which needs to be charged most, so that the electric quantity management efficiency is improved.

2. According to the allocation method of the mobile energy storage power supply based on the priority model, the type and state data of the equipment being charged and to be charged are updated after the countdown time threshold is preset, and the priority of the equipment is readjusted accordingly, so that the more fair and accurate allocation of power supply resources is realized. The strategy for dynamic updating and priority adjustment can be used for carrying out power supply allocation according to the real-time requirements and states of all the devices, and the use efficiency of the mobile energy storage power supply is effectively improved.

Drawings

Fig. 1 is a schematic flow chart of a deployment method of a mobile energy storage power supply based on a priority model provided in the present application.

Fig. 2 is another flow chart of the deployment method of the mobile energy storage power supply based on the priority model provided by the application.

Fig. 3 is a schematic diagram of a modular virtual device of the deployment system of the mobile energy storage power supply based on the priority model provided in the present application.

Fig. 4 is a schematic diagram of an entity device of the deployment system of the mobile energy storage power supply based on the priority model provided in the present application.

Detailed Description

The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "and/or" as used in this application is intended to encompass any or all possible combinations of one or more of the listed items.

The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

The following describes a method for allocating a mobile energy storage power supply based on a priority model in this embodiment:

S101, under the condition that the newly-accessed charging equipment is accessed, determining first type data and first state data of the newly-accessed charging equipment; and under the current time, accessing all second type data and all second state data of all charging devices which are being charged, all third type data and all third state data of all charging devices to be charged in the list.

It is to be noted in advance that the execution bodies of the present embodiment and the following embodiments are mobile energy storage power supplies, and more particularly, a medium-to-large mobile energy storage power supply, which has a larger charging capability and can provide power support for numerous devices, including high-power devices.

It should be noted that the newly connected charging device, the charging device being charged, and the charging device to be charged all belong to classifications of different states. These classifications are based on the current state of the device and the charging requirements, rather than the intrinsic characteristics of the device itself. I.e. the same device may be classified into different categories at different points in time, different standards, the following embodiments also cover more charging devices, which can be understood and applied with reference to this sentence when the following embodiments appear.

The type data is specific type, such as mobile phone, tablet computer, small electric blower, etc.;

the category data is typically from identification information of the device. In some embodiments, the device may provide information such as its model and type via some protocol, without limitation.

The status data includes a present power amount, a rated power amount, a use state, a charging current, etc., which are not limited herein.

The status data may be obtained by a battery management system on the device, detecting whether the device is running an application, a power management interface, active transmission by the device, and the like, which is not limited herein.

The access list is a list of all devices connected or accessed to the mobile energy storage power supply, and further comprises data corresponding to the devices one by one.

It should be noted that, part of the data in the access list is static, such as the type of the device and the rated power, and these information can be obtained and used continuously once the device is accessed. However, some data such as the current charge and charge current change in real time, so periodic reacquiring of updates is required.

More specifically, their data requirements are also different for the device being charged and to be charged. For example, the current charge of the device being charged is dynamically changing, requiring re-acquisition of updates; for the device to be charged, the current electric quantity of the device does not need to be updated frequently before charging is started.

In this step, the data used are all updated data, and as to which data can be directly used, which data needs to be updated and reused, which data needs to be determined according to actual conditions, and details are not repeated here.

S102, inputting the first state data, all the second type data and all the third type data into a preset priority model to obtain priorities of the newly accessed charging equipment, all the charging equipment which are being charged and all the charging equipment to be charged.

In some embodiments, the priority model is trained as follows: the priorities corresponding to the status data and the category data are collected in advance and then preprocessed, including noise removal, standardized formats, etc., for model training. The collected data is used as a training set for training the priority model. In the training process, the model generates corresponding priority according to the input state data and the category data.

This model may be a machine learning based model such as a decision tree, support vector machine, or neural network, etc. The training data set is composed of status data and category data of the device, and priority of the device. The priority of the device may be manually calibrated, or automatically calculated according to a rule, which is not limited herein.

In some embodiments, a low-power device may have a higher priority than a full-power device; the devices being used may have a higher priority than the devices not being used, and the cell phone has a higher priority than the tablet.

And S103, after the priority is obtained, splitting a preset time weight table according to columns of the current time in the preset time weight table to obtain a first preset time weight sub-table.

The preset time weight table is a preset table that gives weights of different types of devices according to time. This weight may be used to adjust the priority of the device. For example, a tablet may have a higher weight during daytime hours and a lower weight during nighttime or weekends.

The first preset time weight sub-table is extracted from the preset time weight table and only contains weight information corresponding to the current time.

The columns in the preset time weight table generally refer to columns in the preset time weight table, which include the type of device, time period, weight value.

The purpose of this step is to obtain a time weight sub-table based on the current time and a pre-set time weight table, which sub-table will be used to adjust the priority of the device in a subsequent step.

S104, determining a first weight corresponding to the first type of data, a plurality of second weights corresponding to all the second type of data and a plurality of third weights corresponding to all the third type of data in a first preset time weight sub-table.

More specifically, the first type of data corresponds to a newly accessed charging device, and the corresponding weight of the device in the first preset time weight sub-table is the weight of the first type of data.

Similarly, the second type of data represents the devices being charged, and the corresponding weights of these devices in the first preset time weight sub-table constitute the weights of the second type of data. The third category of data represents the devices to be charged, and the corresponding weights of these devices in the first preset time weight sub-table constitute the weights of the third category of data.

And S105, updating priorities of the newly accessed charging equipment, all charging equipment which are being charged and all charging equipment to be charged according to the first weights, the second weights and the third weights.

In a specific embodiment, updating the priority of the device can be accomplished by multiplying the weight of the device by its corresponding priority

And S106, updating the access list to obtain a new access list after updating the priority, so that the first charging equipment with the priority higher than the priority threshold is determined to be the charging equipment which is being charged, and the first charging equipment with the priority not higher than the priority threshold is determined to be the charging equipment which is to be charged, wherein the first charging equipment comprises the accessed charging equipment, all the charging equipment which are being charged and all the charging equipment which are to be charged.

The devices in the access list need to be rearranged according to their new priorities. In the new access list, a number of devices having priorities greater than a priority threshold are determined to be charging devices. In the new access list, a number of devices having a priority not greater than a priority threshold are determined as devices to be charged. The first charging device includes newly accessed devices, all devices being charged, and all devices to be charged.

And S107, determining a corresponding charging strategy according to all kinds of data and all state data of all charging devices in the new access list.

It should be noted that different charging devices have different requirements, for example, a mobile phone may support a fast charging mode, and a notebook computer may not support the fast charging mode. Accordingly, it is necessary to determine the corresponding charging policy based on the type and status data of all charging devices in the new access list.

For example, a specific example is that for a mobile phone a (class data) supporting the quick charge function, its current power is 20% (status data). At this time, the mobile energy storage power supply can provide 65A of current (state data) for charging, so as to charge a large amount of electricity for the mobile phone a in a short time. However, when the battery level of the mobile phone a reaches about 80% (state data), the mobile energy storage power supply gradually decreases the charging current and transitions to the constant voltage mode (state data), and continues to charge until the battery of the mobile phone a is full.

For another specific example, for the mobile phone B (class data) supporting the fast charging function, the current power of the mobile phone B is 1% (state data), and the mobile energy storage power source enters a pre-charging stage, where the set current threshold may be 5A (state data) to protect the battery of the mobile phone B from damage. When the charge gradually increases and exceeds a predetermined charge threshold, e.g., 10% (status data), the mobile energy storage power supply switches to a fast charge mode, providing a higher current, e.g., 65A (status data), for charging, so as to increase the charge to about 80% in a short period of time. Then, when the power reaches another preset power threshold, for example 80% (status data), the mobile energy storage power supply will decrease the charging current and gradually transition to the constant mode until the cell phone B battery is fully charged.

And S108, charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list.

And S109, suspending charging of all the charging devices to be charged according to the new access list.

And S110, after the charging is suspended, determining the new access list as an access list.

It should be noted that, although the content of the access list is not changed, only the name thereof is updated. The purpose of this is to indicate more clearly which access list to use.

It can be seen that the power requirements of high priority devices can be preferentially met among a multitude of access devices. By introducing weights of different device types at different times, the determination of priority is made more accurate and fine. The power supply is more efficient to use, and the unique requirements of different devices at different times can be met pertinently. In addition, through carrying out dynamic adjustment to the priority, can manage the electric quantity more effectively, reduce the risk because of the electric quantity is not enough brings. The method improves the service efficiency of the mobile energy storage power supply, and is effectively distributed to the equipment which needs to be charged most, so that the electric quantity management efficiency is improved.

In the case that the above embodiment is that the newly connected charging device is connected, then in the case that the corresponding charging device is disconnected, the embodiment further includes the following steps:

S111, deleting the charging equipment to be charged, which is pulled out from the access list, under the condition that any charging equipment to be charged in the access list is determined to be pulled out;

s111, deleting the charging equipment which is pulled out from the access list under the condition that any charging equipment which is being charged is pulled out from the access list;

s112, updating all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

and S113, executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

At this time, the flow will jump back to step S104, and the steps following S104 are sequentially executed.

It can be seen that after any charging device is detected as being unplugged, it is deleted from the access list, and then the status data of the remaining charging and to-be-charged devices is updated and its priority is recalculated. The dynamic priority adjustment strategy can respond to the access and the extraction of the equipment in real time, and power supply allocation is carried out according to the real-time state and the requirement of the equipment, so that the fairness and the accuracy of the power supply resource allocation are further realized.

In the above embodiment, the use efficiency of the mobile energy storage power supply is improved, and in practical application, when the above method for allocating the mobile energy storage power supply based on the priority model is executed, the state data of the charging device or the device to be charged may change over time. In this case, the priorities that are still calculated using the old state data may not accurately reflect the real-time requirements of the device. The following specifically describes a method for allocating a mobile energy storage power supply based on a priority model in the embodiment of the present application, taking a manner of solving the above problem as an example:

fig. 2 is a schematic flow chart of a deployment method of a mobile energy storage power supply based on a priority model according to the present application.

S201, starting countdown according to a preset countdown time threshold.

The countdown time threshold may be a fixed threshold or may be input by the user;

in some embodiments, a timer function may be employed, which is not described in detail herein.

S202, under the condition that the newly-accessed charging equipment is accessed in a preset countdown time threshold, executing the first type data and the first state data of the newly-accessed charging equipment; determining all second type data and all second state data of all charging devices being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time; and reset the countdown.

And within a preset countdown time threshold, if it is determined that a new charging device is accessed, triggering the condition of step S101. At this time, the flow will jump back to step S101, and the steps following S101 are sequentially executed.

In other embodiments, the countdown will continue if no newly accessed charging device is accessed within the preset countdown time threshold.

And S203, updating all second state data of all charging devices being charged in the access list to obtain updated second state data and all third state data of all charging devices to be charged to obtain updated third state data under the condition that no newly accessed charging device is accessed after a countdown time threshold is preset.

The data acquisition method in this step is similar to the operation of step S101. Since the detailed process of step S101 has been disclosed, it is recommended to understand the data acquisition method with reference to this step, and a detailed description thereof will be omitted.

S204, inputting all the updated second state data and all the updated third state data into a preset priority model to obtain priorities of all the charging devices which are being charged and all the charging devices to be charged.

The priority determination method in this step is similar to the operation of step S102. Since the detailed procedure of step S102 has been disclosed, it is recommended to understand the priority determination method with reference to this step, and a detailed description thereof will be omitted.

S205, after the priority is obtained, splitting a preset time weight table according to columns of the current time in the preset time weight table to obtain a second preset time weight sub-table.

It should be noted that, although the embodiments of steps S101 to S110 may be similar in content to the embodiments of steps S201 to S212, they are not identical in timing. It can be understood that the embodiments of steps S201 to S212 occur at the time when the embodiments of steps S101 to S110 pass the preset count-down time threshold, so that the corresponding columns are different, and the corresponding preset time weight sub-tables are further different.

The splitting method in this step is similar to the operation of step S103. Since the detailed procedure of step S103 has been disclosed, it is recommended to understand the splitting method with reference to this step, and a detailed description thereof will be omitted.

S206, determining a plurality of fourth weights respectively corresponding to all the second type data and a plurality of fifth weights respectively corresponding to all the third type data in a second preset time weight sub-table according to all the second type data and all the third type data.

The weight determination method in this step is similar to the operation of step S104. Since the detailed process of step S104 has been disclosed, it is recommended to understand the weight determining method with reference to this step, and the detailed description thereof will be omitted.

And S207, updating the priorities of all charging devices being charged and all charging devices to be charged according to the fourth weights and the fifth weights.

And S208, after updating the priority, updating the access list to obtain a new access list, so that the second charging equipment with the priority higher than the priority threshold is determined to be the charging equipment which is being charged, and the second charging equipment with the priority not higher than the priority threshold is determined to be the charging equipment which is to be charged, wherein the second charging equipment comprises all the charging equipment which is being charged and all the charging equipment which is to be charged.

And S209, determining a corresponding charging strategy according to all kinds of data and all state data of all charging devices in the new access list.

It should be noted that once the charging strategy is determined, it is not necessary to re-determine. However, since the device being charged in the previous step may have changed, it may no longer have a charging policy for all the devices being charged.

And S210, charging all charging devices which are being charged according to the corresponding charging strategies according to the new access list.

S211, suspending charging of all charging devices to be charged according to the new access list.

And S212, after the charging is suspended, determining the new access list as an access list.

Therefore, the type and state data of the equipment being charged and to be charged are updated after the countdown time threshold is preset, and the priority of the equipment is readjusted accordingly, so that the more fair and accurate distribution of power supply resources is realized. The strategy for dynamic updating and priority adjustment can be used for carrying out power supply allocation according to the real-time requirements and states of all the devices, and the use efficiency of the mobile energy storage power supply is effectively improved.

In the foregoing embodiment, in the case where the current power of all charging devices being charged does not reach the power threshold within the preset countdown time threshold, then in the case where the current power of any charging device being charged reaches the power threshold in the corresponding access list, the embodiment further includes the following steps:

s213, under the condition that the current electric quantity of any charging device in the access list reaches an electric quantity threshold value, determining the charging device in charge of which the current electric quantity reaches the electric quantity threshold value as a full-power charging device;

S214, suspending charging of the full-charged charging equipment;

s215, deleting the full-charged charging equipment in the access list, and updating all second state data of all charging equipment in the access list to obtain updated second state data and all third state data of all charging equipment to be charged to obtain updated third state data;

and S216, executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

It can be seen that by considering any access device as a full device after determining that its power reaches a threshold, and suspending charging it, then deleting it from the access list. This strategy effectively prevents overcharging of full-powered devices, thereby avoiding waste of power and possible device damage. The system then updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, so that the power supply resource allocation is fairer and more accurate.

During actual use, if a device suddenly starts to be used. If the device being used is a charging device, then its impact is relatively small. However, if the device being used is a device to be charged, which may cause the device to be turned off or affect the user's use experience, the present embodiment will be further described by taking as an example a way of solving the above-described problem.

S217, under the condition that the charging equipment to be charged in the access list is used, determining the charging equipment to be charged which is being used as the using charging equipment;

s218, deleting the charging equipment used in the access list;

s219, charging the charging equipment according to a corresponding charging strategy;

s220, updating all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

s221, the step of inputting the second state data after all updating and the third state data after all updating into a preset priority model to obtain the priorities of all charging devices which are being charged and all charging devices to be charged is executed.

In other words, the highest priority should be the charging device being used.

It can be seen that when the device to be charged is detected to be in use, the device to be charged is defined as a use charging device, and is charged according to the corresponding charging strategy, and then the device to be charged is deleted from the access list. This strategy ensures that the device being used is charged timely and effectively, thereby avoiding interruption of use due to insufficient power. At the same time, the system updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, and the fairness and the accuracy of power supply resource allocation are realized.

In actual use, some devices may be very important to users due to population-to-individual differences, but may be ranked lower in priority calculation, and this embodiment will be further described by taking as an example a way to solve the above-mentioned problems.

S222, providing a priority panel for setting the newly-accessed charging equipment under the condition that the newly-accessed charging equipment is determined to be accessed;

In a specific embodiment, after a device is connected to the charging system, the mobile energy storage power supply automatically pops up a panel or interface, and the user can set the charging priority of the new connected device on the panel. The panel or interface can provide some pre-set priority options such as "high", "medium", "low", or allow the user to directly enter a particular priority value.

S223, under the condition that the preferential charging instruction is received, determining charging equipment corresponding to the preferential charging instruction;

s224, if the corresponding charging equipment is the charging equipment to be charged; determining a corresponding charging device as an instruction charging device;

s225, deleting the instruction charging equipment in the access list;

s226, charging the instruction charging equipment according to a corresponding charging strategy;

s227, updating all second state data of all charging devices being charged in the access list to obtain updated second state data, and all third state data of all charging devices to be charged to obtain updated third state data;

and S228, executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

It can be seen that after receiving the preferred charging instruction, the corresponding device to be charged can be determined as the instruction charging device, and charging is performed according to the corresponding charging policy, and then the charging is deleted from the access list. The strategy can meet the charging requirement of the specific equipment of the user preferentially, and user experience is improved. Meanwhile, the system can recalculate the priority according to the state data of the rest charging and to-be-charged equipment, so that the dynamic allocation of the power supply resources is realized. The priority adjustment strategy can perform power resource allocation according to the real-time state and the requirement of the equipment, and fair and accurate power resource allocation is realized.

In the actual use process, the priority of some devices to be charged is low, so that they cannot be charged in time, which may cause the devices to be automatically powered off. This not only affects user usage, but may also negatively impact the health life of the device. The present embodiment will be described further by taking as an example a way of solving the above-described problems.

S229, determining the charging equipment to be charged, which is lower than the electric quantity threshold value, as the charging equipment to be charged under the condition that the electric quantity of the charging equipment to be charged in the access list is lower than the electric quantity threshold value;

S230, deleting the charging equipment which is needed urgently in the access list;

s231, charging the equipment which is needed to be charged urgently according to a corresponding charging strategy;

s232, updating all second state data of all charging equipment in charge in the access list to obtain updated second state data and all third state data of all charging equipment to be charged to obtain updated third state data;

and S233, executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices which are being charged and all the charging devices to be charged.

It can be seen that when the electric quantity of the device to be charged in the access list is determined to be lower than the electric quantity threshold value, the device is defined as an emergency charging device, and is charged according to the corresponding charging strategy, and then the charging device is deleted from the access list. The strategy can preferentially ensure that the equipment with severely insufficient electric quantity is charged in time, so that the equipment cannot be used due to electric quantity exhaustion is avoided. At the same time, the system updates the status data of the remaining charging and charging devices and recalculates their priorities. The dynamic priority adjustment strategy can carry out power supply allocation according to the real-time state and the requirement of the equipment, and the fairness and the accuracy of power supply resource allocation are realized.

The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

Referring to fig. 3, an embodiment of the present application provides a deployment system of a mobile energy storage power supply based on a priority model, where the deployment system of the mobile energy storage power supply based on the priority model includes:

a determining state data module 301, configured to determine, in a case where it is determined that a newly accessed charging device is accessed, first type data and first state data of the newly accessed charging device; determining all second type data and all second state data of all charging devices which are being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time;

the first data input module 302 is configured to input the first state data, all the second type data, and all the third type data into a preset priority model to obtain priorities of the newly accessed charging devices, all the charging devices being charged, and all the charging devices to be charged;

the first splitting module 303 is configured to split the preset time weight table according to the columns in the preset time weight table at the current time after the priority is obtained, so as to obtain a first preset time weight sub-table;

The first weight determining module 304 is configured to determine a first weight corresponding to the first type of data, a plurality of second weights corresponding to all the second types of data, and a plurality of third weights corresponding to all the third types of data in the first preset time weight sub-table;

a first priority updating module 305, configured to update priorities of the newly accessed charging devices, all charging devices being charged, and all charging devices to be charged according to the first weights, the second weights, and the third weights;

the first list updating module 306 is configured to update the access list to obtain a new access list after updating the priority, so that the first charging device with the priority greater than the priority threshold is determined to be a charging device being charged, and the first charging device with the priority not greater than the priority threshold is determined to be a charging device to be charged, where the first charging device includes the accessed charging devices, all charging devices being charged, and all charging devices to be charged;

a first charging policy determining module 307, configured to determine a corresponding charging policy according to all kinds of data and all status data of all charging devices in the new access list;

A first charging module 308, configured to charge all charging devices being charged according to a corresponding charging policy according to the new access list;

a first suspension charging module 309, configured to suspend charging of all charging devices to be charged according to the new access list;

the first list determining module 310 is configured to determine the new access list as the access list after suspending charging.

In some embodiments, the system further comprises:

in some embodiments, the system further comprises:

In some embodiments, the system further comprises:

The application also discloses a dispatching system of the mobile energy storage power supply based on the priority model. Referring to fig. 4, a schematic diagram of an entity device of a deployment system of a mobile energy storage power supply based on a priority model is provided. The computer 400 may include: at least one processor 401, at least one network interface 404, a user interface 403, a memory 405, and at least one communication bus 402.

Wherein communication bus 402 is used to enable connected communications between these components.

The user interface 403 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 403 may further include a standard wired interface and a standard wireless interface.

The network interface 404 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 401 may include one or more processing cores. The processor 401 connects the various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 405, and invoking data stored in the memory 405. Alternatively, the processor 401 may be implemented in at least one hardware form of digital signal processing (DigitalSignalProcessing, DSP), field programmable gate array (Field-ProgrammableGateArray, FPGA), programmable logic array (ProgrammableLogicArray, PLA). The processor 401 may integrate one or a combination of several of a central processing unit (CentralProcessingUnit, CPU), an image processing unit (GraphicsProcessingUnit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 401 and may be implemented by a single chip.

The memory 405 may include a random access memory (RandomAccessMemory, RAM) or a Read-only memory (Read-only memory). Optionally, the memory 405 includes a non-transitory computer readable medium (non-transitoroompter-readabblestonemachineum). Memory 405 may be used to store instructions, programs, code sets, or instruction sets. The memory 405 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 405 may also optionally be at least one storage device located remotely from the aforementioned processor 401. Referring to fig. 4, an operating system, a network communication module, a user interface module, and an application program for deployment of a mobile energy storage power source based on a priority model may be included in the memory 405, which is a type of computer storage medium.

In the computer 400 shown in fig. 4, the user interface 403 is mainly used as an interface for providing input for a user, and obtains data input by the user; and processor 401 may be used to invoke an application program stored in memory 405 that, when executed by one or more processors 401, causes computer 400 to perform the method as described in one or more of the embodiments above. It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of 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.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.

This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims

1. The method for allocating the mobile energy storage power supply based on the priority model is characterized by comprising the following steps of:

determining first type data and first state data of newly-accessed charging equipment under the condition that the newly-accessed charging equipment is accessed; determining all second type data and all second state data of all charging devices which are being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time;

inputting the first state data, all the second type data and all the third type data into a preset priority model to obtain priorities of the newly accessed charging equipment, all the charging equipment under charging and all the charging equipment to be charged;

After the priority is obtained, splitting the preset time weight table according to columns of the current time in the preset time weight table to obtain a first preset time weight sub-table;

determining a first weight corresponding to the first type of data, a plurality of second weights corresponding to all the second type of data and a plurality of third weights corresponding to all the third type of data in the first preset time weight sub-table;

updating priorities of the newly accessed charging equipment, all charging equipment which are being charged and all charging equipment to be charged according to the first weight, the second weights and the third weights;

after updating the priority, updating an access list to obtain a new access list, so that a first charging device with the priority higher than a priority threshold is determined to be a charging device which is being charged, and a first charging device with the priority not higher than the priority threshold is determined to be a charging device which is to be charged, wherein the first charging device comprises the accessed charging device, all the charging devices which are being charged and all the charging devices which are to be charged;

suspending charging of all the charging devices to be charged according to the new access list;

2. The method for provisioning a mobile energy storage power source based on a priority model of claim 1, wherein after the step of determining a new access list as an access list, the method further comprises:

starting counting down according to a preset counting down time threshold;

executing the first type data and the first state data of the newly-accessed charging equipment under the condition that the newly-accessed charging equipment is accessed in a preset countdown time threshold; determining all second type data and all second state data of all charging devices being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time; and reset the countdown;

Inputting all updated second state data and all updated third state data into a preset priority model to obtain priorities of all charging equipment under charging and all charging equipment to be charged;

after the priority is obtained, splitting the preset time weight table according to columns of the current time in the preset time weight table to obtain a second preset time weight sub-table;

determining a plurality of fourth weights respectively corresponding to all the second type data and a plurality of fifth weights respectively corresponding to all the third type data in a second preset time weight sub-table according to all the second type data and all the third type data;

updating priorities of all charging devices which are being charged and all charging devices to be charged according to the fourth weights and the fifth weights;

after updating the priority, updating the access list to obtain a new access list, so that a second charging device with the priority higher than a priority threshold is determined to be a charging device which is being charged, and a second charging device with the priority not higher than the priority threshold is determined to be a charging device which is to be charged, wherein the second charging device comprises all the charging devices which are being charged and all the charging devices which are to be charged;

3. The method for provisioning a mobile energy storage power source based on a priority model of claim 2, wherein after the step of determining a new access list as an access list, the method further comprises:

suspending charging of the full-charged charging device;

And executing the step of inputting all the updated second state data and all the updated third state data into a preset priority model to obtain the priorities of all the charging devices being charged and all the charging devices to be charged.

4. The method for deploying a mobile energy storage power supply based on a priority model according to claim 3, wherein, in the case that it is determined that the current power of any charging device in the access list reaches the power threshold, the step of determining that the charging device that is charging and has reached the power threshold is a full-power charging device, the method further comprises:

5. The method for provisioning a mobile energy storage power source based on a priority model of claim 2, wherein after the step of determining a new access list as an access list, the method further comprises:

deleting the using charging equipment in the access list;

6. The method for provisioning a mobile energy storage power source based on a priority model of claim 2, wherein after the step of determining a new access list as an access list, the method further comprises:

Under the condition that a preferred charging instruction is received, determining charging equipment corresponding to the preferred charging instruction;

deleting the instruction charging equipment in the access list;

7. The method for provisioning a mobile energy storage power source based on a priority model of claim 2, wherein after the step of determining a new access list as an access list, the method further comprises:

Deleting the emergency charging equipment in the access list;

8. The utility model provides a mobile energy storage power supply's allotment system based on priority model which characterized in that includes:

a determining state data module, configured to determine first type data and first state data of a newly accessed charging device when determining that the newly accessed charging device is accessed; determining all second type data and all second state data of all charging devices which are being charged in the access list, and all third type data and all third state data of all charging devices to be charged in the current time;

The first data input module is used for inputting the first state data, all the second type data and all the third type data into a preset priority model to obtain the priorities of the newly accessed charging equipment, all the charging equipment which is being charged and all the charging equipment to be charged;

the first splitting module is used for splitting the preset time weight table according to columns in the preset time weight table at the current time after the priority is obtained to obtain a first preset time weight sub-table;

the first weight determining module is used for determining a first weight corresponding to the first type of data, a plurality of second weights corresponding to all the second type of data and a plurality of third weights corresponding to all the third type of data in the first preset time weight sub-table;

the first priority updating module is used for updating the priorities of the newly accessed charging equipment, all the charging equipment which are being charged and all the charging equipment to be charged according to the first weights, the second weights and the third weights;

the first list updating module is used for updating an access list to obtain a new access list after updating the priority, so that a first charging device with the priority higher than a priority threshold value is determined to be a charging device which is being charged, and a first charging device with the priority not higher than the priority threshold value is determined to be a charging device which is to be charged, wherein the first charging device comprises the accessed charging device, all the charging devices which are being charged and all the charging devices which are to be charged;

The first charging strategy determining module is used for determining a corresponding charging strategy according to all kinds of data and all state data of all charging equipment in the new access list;

the first charging module is used for charging all the charging devices which are being charged according to the corresponding charging strategies according to the new access list;

the first suspension charging module is used for suspending charging of all the charging equipment to be charged according to the new access list;

9. The utility model provides a mobile energy storage power supply's allotment system based on priority model which characterized in that includes: one or more processors and memory;

the memory being coupled to the one or more processors, the memory being for storing computer program code, the computer program code comprising computer instructions that the one or more processors invoke to cause the deployment system of the priority model-based mobile energy storage power supply to perform the method of any of claims 1-7.

10. A computer readable storage medium comprising instructions which, when run on a priority model based deployment system of mobile energy storage power supplies, cause the priority model based deployment system of mobile energy storage power supplies to perform the method of any of claims 1-7.