CN117022014A

CN117022014A - Charging control method, device, energy management system and storage medium

Info

Publication number: CN117022014A
Application number: CN202311112650.0A
Authority: CN
Inventors: 郭志强; 李浩文
Original assignee: Shenzhen Haichen Energy Storage Control Technology Co ltd
Current assignee: Shenzhen Haichen Energy Storage Control Technology Co ltd
Priority date: 2023-08-30
Filing date: 2023-08-30
Publication date: 2023-11-10

Abstract

The application provides a charging control method, a device, an energy management system and a storage medium, which are applied to the energy management system in a passenger station energy system, wherein the method comprises the following steps: acquiring vehicle scheduling information of a passenger station in the next business hours to determine a plurality of charging mission plans; acquiring weather information and date information of the next business hours, and providing the maximum rated power by the power grid; determining the maximum available charging power according to weather information, date information and the maximum rated power; updating a charging task plan according to the current stored electric quantity and the maximum available charging power; and controlling a plurality of charging piles to charge the passenger vehicles according to the updated charging mission plan. Therefore, the application realizes the determination and update of the charging task plan of the charging pile in the passenger station by acquiring the vehicle scheduling information, the weather information and the date information, thereby ensuring that the real-time power of the passenger station does not exceed the maximum rated power, improving the stability of the power grid and reducing the resource waste of the operation of the passenger station.

Description

Charging control method, device, energy management system and storage medium

Technical Field

The application relates to the technical field of energy storage, in particular to a charging control method, a charging control device, an energy management system and a storage medium.

Background

Currently, conventional passenger stations serve as transportation hubs for specialized passenger traffic.

However, a large amount of electric energy is inevitably consumed in the daily operation process of the passenger station, and the continuous operation of high-power electric equipment in the passenger station easily causes instability of a power grid and large energy waste.

Accordingly, there is a need for a charge control method, apparatus, energy management system, and storage medium that solve the above-described problems.

Disclosure of Invention

The embodiment of the application provides a charging control method, a device, an energy management system and a storage medium, which are used for determining and updating a charging task plan of a plurality of charging piles in a passenger station by acquiring vehicle scheduling information, weather, date and power supply condition of a power grid in the next business hours, so that the stability of the power grid is improved, and the energy supply and demand balance in the passenger station is ensured.

In a first aspect, an embodiment of the present application provides a charging control method, which is applied to an energy management system in a passenger station energy system, where the passenger station energy system includes the energy management system and a plurality of charging piles, and the energy management system is connected with the plurality of charging piles in a communication manner; the method comprises the following steps:

Acquiring vehicle scheduling information of a passenger station in the next business hours, wherein the vehicle scheduling information comprises a plurality of pieces of vehicle number information, and the vehicle number information comprises departure time, running lines and vehicle numbers of corresponding passenger vehicles;

determining a plurality of charging mission plans according to the plurality of train number information, wherein each charging mission plan corresponds to one charging pile, any charging mission plan is used for indicating a state period corresponding to each use state of the corresponding charging pile in the next business hours, the use states comprise an energy storage state, a working state and an idle state, and the energy storage state is a use state that the charging pile occupies preset energy storage power to perform an electric quantity storage process;

acquiring weather information and date information of the next business hours and the maximum rated power provided by a power grid;

determining the maximum available charging power in the next business hours according to the weather information, the date information and the maximum rated power, wherein the maximum available charging power refers to the upper limit of the safety power which can be occupied by the plurality of charging piles at the same moment;

updating the plurality of charging task plans according to the current stored electric quantity and the maximum available charging power, wherein the current stored electric quantity is the total electric quantity stored by the plurality of charging piles at the current moment;

And controlling the plurality of charging piles to charge the passenger vehicle according to the updated plurality of charging mission plans.

In a second aspect, an embodiment of the present application provides a charging control device, which is applied to an energy management system in a passenger station energy system, where the passenger station energy system includes the energy management system and a plurality of charging piles, and the energy management system is connected with the plurality of charging piles in a communication manner; the device comprises:

the first acquisition unit is used for acquiring vehicle scheduling information of the passenger station in the next business hours, wherein the vehicle scheduling information comprises a plurality of pieces of vehicle number information, and the vehicle number information comprises departure time, running lines and vehicle numbers of corresponding passenger vehicles;

the first determining unit is configured to determine a plurality of charging mission plans according to the plurality of train number information, where each charging mission plan corresponds to one charging pile, and any charging mission plan is configured to indicate a state period corresponding to each use state of the corresponding charging pile in the next business hours, where the use states include an energy storage state, a working state, and an idle state, and the energy storage state is a use state in which the charging pile occupies a preset energy storage power to perform an electric quantity storage process;

The second acquisition unit is used for acquiring weather information and date information of the next business hours and the maximum rated power provided by the power grid;

the second determining unit is used for determining the maximum available charging power in the next business hours according to the weather information, the date information and the maximum rated power, wherein the maximum available charging power is the upper limit of the safety power which can be occupied by the charging piles at the same time;

the control unit is used for updating the plurality of charging task plans according to the current stored electric quantity and the maximum available charging power, wherein the current stored electric quantity is the total electric quantity stored by the plurality of charging piles at the current moment; and controlling the plurality of charging piles to charge the passenger vehicle according to the updated plurality of charging mission plans.

In a third aspect, embodiments of the present application provide an energy management system comprising a processor, a memory and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing steps as in the first aspect of the embodiments of the present application.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program/instruction which when executed by a processor performs the steps of the first aspect of embodiments of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product comprising computer programs/instructions which when executed by a processor implement some or all of the steps as described in the first aspect of the embodiments of the present application.

It can be seen that, in the embodiment of the present application, the energy management system determines a charging mission plan of a plurality of charging piles in the passenger station by acquiring the vehicle shift information in the next business hours; and updating the charging mission plan according to weather information, date information and the maximum rated power provided by the power grid in the next business hours. Therefore, the embodiment of the application can ensure that the real-time power of the operation of the passenger station does not exceed the maximum rated power provided by the power grid, improves the stability of the power grid, ensures that the passenger station can realize dynamic capacity expansion through the energy storage function of the charging pile, and effectively reduces the resource waste of the operation of the passenger station.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a block diagram of a passenger station energy system provided by an embodiment of the present application;

fig. 2 is a schematic flow chart of a charging control method according to an embodiment of the present application;

FIG. 3 is a schematic illustration of a passenger station vehicle shift schedule provided in accordance with an embodiment of the present application;

FIG. 4 is a schematic view of a task allocation scenario provided by an embodiment of the present application;

FIG. 5 is a schematic view of a passenger station energy system according to an embodiment of the present application;

fig. 6a is a functional unit block diagram of a charging control device according to an embodiment of the present application;

fig. 6b is a functional unit block diagram of another charge control device according to an embodiment of the present application;

fig. 7 is a block diagram of an energy management system according to an embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

Referring to fig. 1, fig. 1 is a block diagram of a passenger station energy system according to an embodiment of the present application. As shown in fig. 1, the passenger station energy system 100 includes an energy management system 110 and a charging stake 120, the energy management system 110 and the charging stake 120 being communicatively coupled. The energy management system 110 obtains the vehicle scheduling information of the passenger station in the next business hours to determine the charging mission plan corresponding to the charging pile 120, where the charging mission plan is the schedule for the charging pile to charge the passenger vehicle to meet the vehicle scheduling information. The energy management system 110 then updates the charging mission plan based on the date information of the next business hours, weather information, and the maximum rated power provided by the grid. The energy management system 110 further controls the charging pile 120 to charge the passenger vehicle according to the updated charging mission plan, so that the actual operation of the passenger station does not exceed the maximum rated power available from the power grid. The energy management system 110 may be a server, a server cluster formed by a plurality of servers, or a cloud computing service center, and the charging pile 120 may be any type of charging pile product appearing on the market. One energy management system 110 may be used to simultaneously correspond to multiple charging piles 120, or multiple energy management systems 110 may be included in the passenger station energy system 100, with each energy management system 110 corresponding to one or more charging piles 120.

Based on this, an embodiment of the present application provides a charging control method, and the embodiment of the present application is described in detail below with reference to the accompanying drawings.

Referring to fig. 2, fig. 2 is a schematic flow chart of a charging control method according to an embodiment of the present application, where the method is applied to an energy management system 110 in a passenger station energy system 100, the passenger station energy system 100 includes the energy management system 110 and a plurality of charging piles 120, and the energy management system 110 is communicatively connected with the plurality of charging piles 120; the method comprises the following steps:

step S201, vehicle scheduling information of the passenger station in the next business hours is acquired.

The vehicle scheduling information comprises a plurality of pieces of vehicle number information, wherein the vehicle number information comprises departure time, running lines and vehicle numbers of corresponding passenger vehicles. The next business hours are usually the time period from the start of operation to the stop of operation of the passenger station every day, and the business hours of the passenger station are usually 6 a.m. to 7 a.m. in the afternoon, and holidays have no rest. It can be understood that in the present application, passenger vehicles corresponding to the train numbers in the train number information are all electrically driven vehicles.

The energy management system (Energy Management System, EMS) is a comprehensive system integrating software and hardware for monitoring, controlling and optimizing the operation of the energy system. The main functions of the system are, but not limited to, power generation control of the passenger station, power grid structure analysis, load distribution, power system fault analysis and the like.

Referring to fig. 3, fig. 3 is a schematic diagram of a passenger station vehicle shift table according to an embodiment of the present application. As shown in fig. 3, a vehicle schedule of the next business hours of an XXX passenger station is displayed with vehicle schedule information. The vehicle scheduling information summarized by the figure displays three pieces of train number information, and each piece of train number information comprises a serial number, a state, a running line, a departure time and a train number. Wherein, the state comprises normal and stop, normal means that the train can normally run, and stop means that the train stops today. The passengers can arrange the travel plan of the passengers or know the corresponding train number information of the passengers by looking up the train schedule.

Step S202, determining a plurality of charging mission plans according to the plurality of train number information.

Each charging task plan corresponds to one charging pile, any charging task plan is used for indicating a state period corresponding to each use state of the corresponding charging pile in the next business hours, the use states comprise an energy storage state, a working state and an idle state, and the energy storage state is a use state that the charging pile occupies preset energy storage power to perform an electric quantity storage process.

According to the train number information, the energy management system can know what vehicle needs to travel what route at what time, so that it is inferred how much electric quantity is needed for the vehicle to complete the corresponding route, and then the vehicle is charged. Therefore, according to the information of the plurality of train numbers, the charging task plan corresponding to each charging pile in the plurality of charging piles in the passenger station can be determined. Through the charging mission plan, the use state and the corresponding state time period of each charging pile can be arranged, so that the charging pile can ensure that the electric quantity of each vehicle is enough to meet the corresponding travel arrangement, and the electric quantity can be stored under specific conditions. The stored electric quantity can be regarded as being stored in a battery pack preset in the passenger station, and can be called by an energy management system for other electric appliances at any time.

In one possible example, the determining a plurality of charging mission plans according to the plurality of train number information includes: determining a plurality of estimated charging durations according to a plurality of the running lines and a plurality of the car numbers in the plurality of car number information; determining the latest charging moments according to the estimated charging durations, the departure times and the preset departure preparation duration; determining charging periods of a plurality of charging tasks according to the plurality of latest charging moments and the plurality of predicted charging durations; and distributing the plurality of charging tasks to the plurality of charging piles according to a task distribution strategy and preset use state setting conditions, and determining the use state of each charging pile in a non-working period as the energy storage state or the idle state so as to obtain the plurality of charging task plans.

Each predicted charging time corresponds to one car number and one running line, each car number information corresponds to one latest charging time, and the use state of the charging pile corresponding to the charging time period is the working state.

The task allocation policy is a preset allocation rule for determining the priority of the charging task, and the use state setting condition comprises: the duration corresponding to the working state or the energy storage state must not exceed a first preset duration, and the duration corresponding to the idle state must not be less than a second preset duration.

The preset departure preparation time is time for waiting for a passenger vehicle to arrive at a designated station from a charging pile and waiting for the passenger to check tickets and the like, which are set by a staff or an energy management system of the passenger station based on historical experience, wherein the historical experience refers to a plurality of times from charging to the fact that the passenger vehicle is ready to be capable of departure, and the departure preparation time is usually the longest time in the plurality of times so as to ensure that each passenger vehicle can be departure on time.

In this example, the charging time required by the running line corresponding to the running of the passenger vehicle is determined according to the vehicle number information, the latest charging time is predicted, and the charging time period is determined based on the latest charging time. And distributing charging time periods of the passenger vehicles corresponding to the train number information to a plurality of charging piles in the passenger station through a preset task distribution strategy and a preset using state setting condition so as to ensure that the time period of the charging piles in a working state can timely meet the requirements of each passenger vehicle. The function of the using state setting conditions is to avoid abnormal charging task plans, enable the charging pile to be in a working state for a long time to cause damage or overhigh temperature of the charging pile, ensure that the charging pile is in an idle state for each time enough to recover to a device safety state, improve the service life of the charging pile and ensure the safety of charging equipment. Based on the allocation of the task allocation policy, each charging task may be configured with a corresponding charging pile according to the priority level. In practical situations, when the charging tasks are arranged according to the latest charging time due to the fact that the number of charging piles of the passenger station is small or the departure time of the passenger vehicles is too short, each charging pile is provided with a corresponding charging task at the same time, and some passenger vehicles cannot be charged. At this time, the energy management system can automatically adjust the charging period corresponding to each charging task in advance according to the priority of the charging task, so as to ensure that each passenger vehicle is charged with enough electric quantity before the corresponding latest charging time.

It can be seen that, in this example, a plurality of estimated charging periods are determined from a plurality of train number information, and a plurality of latest charging moments are determined from a departure time and a departure preparation period to obtain a plurality of charging periods, by assigning the charging periods to a plurality of charging piles. And determining the use state in the non-working period according to preset conditions and strategies to obtain a plurality of charging mission plans. Therefore, the charging mission plans of the plurality of charging piles are determined by calculating the time period, the preset conditions and the strategy of each vehicle needing to be charged, the efficiency and the stability of the charging arrangement of the energy management system are improved, and the safety of the charging equipment is ensured.

In one possible example, the determining a plurality of estimated charging durations according to a plurality of the running lines and the plurality of car numbers in the plurality of car number information includes: determining a plurality of standard power consumption parameters according to the plurality of car numbers and a prestored passenger transport vehicle type set; acquiring cloud map data; determining the running mileage and the latest road condition information of each running line in the plurality of running lines according to the cloud map data; determining a plurality of actual power consumption parameters according to the plurality of latest road condition information and the plurality of standard power consumption parameters; determining a plurality of estimated power consumption according to the plurality of operating mileage and the plurality of actual power consumption parameters; and determining the plurality of estimated charging time periods according to the plurality of estimated power consumption and the preset charging pile power.

Each standard power consumption parameter corresponds to one car number, the passenger vehicle type set comprises corresponding relations between the car numbers and the standard power consumption parameters, the standard power consumption parameters are used for representing average kilometer power consumption of the corresponding passenger vehicle type under normal road conditions, each actual power consumption parameter corresponds to one car number information, each estimated power consumption corresponds to one car number information, and each estimated charging duration corresponds to one car number information.

The cloud map data can be obtained from various map application programs on the market, and the map information is data released from the Internet by a cloud big data platform and is based on the data analysis and update information, so that the accuracy and the authenticity of the actual map data are ensured. The latest intersection information is used for representing whether the intersection corresponding to the journey in the latest preset period is normal or abnormal. Wherein the path anomaly comprises at least one of the following: the conditions of the power consumption parameters are affected by the road, steep slope, muddy road, road maintenance, congestion, etc., and are not limited herein.

The power consumption parameter may be understood as power consumption of a corresponding passenger vehicle per kilometer, and the estimated power consumption of the trip may be obtained by multiplying the power consumption parameter and the running mileage, where the power consumption parameter of each vehicle is different, and the power consumption parameter is associated with a vehicle type and a road condition of the passenger vehicle, specifically, the power consumption parameter and a load and a running state of the passenger vehicle are also associated, which is not limited herein.

In this example, the estimated power consumption corresponding to each train number information is determined by acquiring the standard power consumption parameter corresponding to each train number, determining the actual running mileage and the latest road condition information according to the cloud map data, and further determining a plurality of estimated charging durations.

In one possible example, the determining the plurality of estimated charging durations according to the plurality of estimated power consumption amounts and the preset charging pile power includes: determining a plurality of earliest train number information according to the plurality of train number information; for the plurality of pieces of the vehicle number information, performing the following operations to obtain the plurality of estimated charge durations: judging whether the currently processed train number information belongs to the earliest train number information or not: if the currently processed vehicle number information is the earliest vehicle number information, acquiring the residual electric quantity of the target vehicle corresponding to the currently processed vehicle number information; and judging whether the residual quantity of the target vehicle is larger than or equal to the estimated power consumption corresponding to the currently processed vehicle number information: if the residual electric quantity of the target vehicle is larger than or equal to the estimated electric power consumption corresponding to the currently processed vehicle number information, determining that the estimated charging duration corresponding to the currently processed vehicle number information is 0; if the residual electric quantity of the target vehicle is smaller than the estimated power consumption corresponding to the currently processed vehicle number information, determining electric quantity to be charged according to the corresponding estimated power consumption and the residual electric quantity of the target vehicle; and determining the estimated charging duration according to the electric quantity to be charged and the charging pile power; and if the currently processed train number information is not the earliest train number information, determining the estimated charging time according to the corresponding estimated power consumption and the charging pile power.

The method comprises the steps that any earliest departure vehicle number is the earliest departure time vehicle number information corresponding to the corresponding vehicle number, each earliest departure vehicle number information corresponds to one vehicle number, and the target vehicle residual electric quantity is the vehicle residual electric quantity of the passenger vehicle corresponding to the currently processed vehicle number information.

The charging pile power equipment is reasonably arranged, and when proper charging power is selected, the charging power can be determined according to different vehicle types, battery pack capacity, battery types and the like, so that the excessive charging power is prevented from causing overheat of the equipment. The usual charging power is typically 20% to 70%.

Wherein, because the charging electric quantity of each charging task for carrying out charging operation on the corresponding vehicle is just enough to meet the travel of the passenger vehicle. Therefore, if the current processed vehicle number information is the earliest vehicle number information, that is, the current processed vehicle number is the first trip corresponding to the earliest running of the passenger vehicle on the same day, the passenger vehicle may have residual electric quantity, and the charging pile does not need to charge according to the predicted electric consumption, so that the charging time of all charging tasks is reduced.

It can be seen that in this example, by determining whether the currently processed number-of-vehicles information is the earliest number-of-vehicles information or not to select different steps to determine the actual charge amount, the charging efficiency of the charging pile of the passenger station and the flexibility of the charging operation are improved.

In one possible example, the charging tasks include a first charging task and a second charging task, the method further comprising: if the first working period of the first charging task is earlier than the second working period of the second charging task, determining that the priority of the first charging task is higher than the priority of the second charging task; if the first working period is the same as the second working period, judging that the first passenger vehicle corresponding to the first charging task and the second passenger vehicle corresponding to the second charging task are multiple-train vehicles or single-train vehicles: if the first passenger vehicle is the multi-train vehicle and the second passenger vehicle is the single-train vehicle, determining that the priority of the first charging task is higher than the priority of the second charging task; if the first passenger vehicle and the second passenger vehicle are the multi-train-number vehicles or the first passenger vehicle and the second passenger vehicle are the single-train-number vehicles, judging whether a first estimated charging duration corresponding to the first charging task is smaller than a second estimated charging duration corresponding to the second charging task: and if the first predicted charging duration is smaller than the second predicted charging duration, determining that the priority of the first charging task is higher than the priority of the second charging task.

Among these, this example corresponds to a process in which the task allocation policy prioritizes charging tasks. The priority is divided into three layers for judgment. Wherein the first hierarchy is the early and late of the working period of the charging task, the priority of the charging task of the early working period is higher than the priority of the charging task of the late working period. This is because the earlier the working period, which means that the earlier the departure time of the corresponding train number, the charging needs to be arranged for the corresponding passenger vehicle to prevent delayed departure. The second hierarchy is that the passenger vehicles are multi-vehicle or single-vehicle, and the priority of the charging tasks corresponding to the multi-vehicle is higher than that of the charging tasks corresponding to the single-vehicle. This is because multiple passes of the vehicle are required to run on the same day, which results in delays in each pass affecting subsequent departure times, and in order to ensure orderly operation of the passenger vehicle, charging is required for its pick-up. The third level is the length of the predicted charging time length of the charging task, and the priority of the charging task with the predicted charging time length is higher than that of the charging task with the predicted charging time length. This is because the charging tasks with the expected charging time period are easier to satisfy, and even if the number of charging piles is insufficient and the time is short, the charging tasks with the expected charging time period are preferably satisfied, so that the influence on the charging of the whole charging piles is minimized.

Referring to fig. 4, fig. 4 is a schematic view of a task allocation scenario according to an embodiment of the present application. As shown in fig. 4, 01 in fig. 4 is an energy management system, 02 in fig. 4 is a charging station in a passenger station, the charging station includes a plurality of charging piles, 03 in fig. 4 is three prioritized charging tasks, and each charging task corresponds to a passenger vehicle. The energy management system determines three charging tasks first, determines the priority levels among the three charging tasks, and finally sends the charging tasks with the well-arranged priorities to a charging station, namely, distributes the charging tasks. After the charging tasks are distributed, the three passenger vehicles in fig. 4 can be charged through the corresponding charging piles to ensure that the next passenger task is completed smoothly.

In this example, the priority level between the charging tasks is determined through the design of the multi-level judging step, so as to distribute the charging tasks, so that the efficiency and stability of the energy management system for distributing the charging tasks are improved, the running stability of the passenger transport vehicle is ensured, and the passenger satisfaction is improved.

Step S203, weather information and date information of the next business hours and the maximum rated power provided by the power grid are obtained;

It can be understood that, due to the weather change and the time difference, the passenger flow of the passenger station changes, and thus the power of the passenger station when the whole operation is also changed. Therefore, the energy management system can predict the maximum available power of the charging pile by acquiring weather information and date information of the next business hours and the maximum rated power. The charging operation of the charging pile is controlled based on the maximum available power, so that the problem of unstable power grid caused by the fact that the running power of the passenger station exceeds the maximum rated power provided by the power grid can be avoided.

Step S204, determining the maximum available charging power in the next business hours according to the weather information, the date information and the maximum rated power.

The maximum available charging power refers to the upper limit of the safety power which can be occupied by the plurality of charging piles at the same time.

For example, different weather information and date information are associated with different occupancy powers of other consumers, resulting in different maximum available charging powers. For example, the impact of weather on the operation of a passenger station may include: when the weather is hot, the passenger station is started to air-condition, so that the power is increased; when the weather is cloudy, the power is improved due to the fact that the lamp-on time of the passenger station is prolonged. The impact of the date on the operation of the passenger station may include: when the date information is characterized as a holiday, equipment such as an escalator is more in use due to more dummy persons, electricity consumption is increased, and overall running power is also increased.

In one possible example, the passenger station energy system further comprises an electricity system comprising a lighting system, an air conditioning system, a device system; the determining the maximum available charging power in the next business hours according to the weather information, the date information and the maximum rated power comprises the following steps: determining temperature information, humidity information and brightness information according to the weather information; determining the date attribute of the next business hours according to the date information; determining a first power level based on the light information and the date attribute; and determining a second power level from the temperature information and the humidity information; and determining a third power level from the date attribute, the third power level being used to characterize a predicted power level of the device system; determining a predicted power usage based on the first power level, the second power level, and the third power level; and determining the maximum available charging power according to the predicted power consumption and the maximum rated power.

Wherein the date attribute is associated with a passenger flow scale, the date attribute comprises a workday, a rest day and a holiday, the first power level is used for representing the predicted power magnitude of the lighting system, and the second power level is used for representing the predicted power magnitude of the air conditioning system.

Referring to fig. 5, fig. 5 is a schematic view of a passenger station energy system according to an embodiment of the present application. As shown in fig. 5, the passenger station energy system is powered by the power grid, and includes a power utilization system, a plurality of charging piles and an energy management system, wherein the power utilization system includes an air conditioning system, an equipment system and a lighting system. The system of equipment may include all other consumers in the passenger station than lighting systems, air conditioning systems, e.g. escalators, ticketing machines, gates, office equipment, etc. The energy management system is in communication connection with the charging pile and the electricity utilization system and is responsible for carrying out real-time regulation and control on the load of the passenger station according to the power supply power of the power grid.

Wherein the temperature information, the humidity information and the brightness information in the weather information influence the switching and the duration of the lighting system and the air conditioning system. The date attribute of the date information is hooked with the passenger flow volume, so that the equipment system and the lighting system are affected. The power class may be divided according to historical power usage data to determine different powers.

It can be seen that, in this example, by acquiring the date information and weather information of the next business hours, the energy management system can predict and calculate the maximum available charging power of the next business hours, so that the stability and the authenticity of the predicted power of the energy management system are improved, and the accuracy of the subsequent updating of the charging mission plan is further improved.

Step S205, updating a plurality of charging mission plans according to the current stored electric quantity and the maximum available charging power.

And the current stored electric quantity is the total electric quantity stored by the plurality of charging piles at the current moment.

In one possible example, the updating the plurality of charging mission plans according to the current stored charge amount and the maximum available charging power includes: determining a plurality of reference time periods according to the plurality of charging mission plans; determining a plurality of predicted charging powers according to the use state of each charging pile in each reference time period; obtaining a plurality of power difference values according to the plurality of predicted charging powers and the maximum available charging power; if the power difference value greater than 0 exists, determining that at least one power difference value greater than 0 is at least one target difference value; and determining a total additional output electric quantity according to the at least one target difference value and the at least one time period to be updated; and judging whether the current stored electric quantity is larger than the total additional output electric quantity or not: if the current stored electric quantity is greater than or equal to the total additional output electric quantity, keeping the plurality of charging mission plans unchanged; if the current stored electric quantity is smaller than the total additional output electric quantity, updating the use states corresponding to the time periods to be updated in the plurality of charging mission plans from the energy storage states to the idle states in sequence until the total additional output electric quantity corresponding to a new charging mission plan is equal to the current stored electric quantity; and if the power difference values are smaller than or equal to 0, keeping the plurality of charging mission plans unchanged.

The reference time period is a time period formed by any two adjacent times between the starting time and the ending time of each state time period in the plurality of charging task plans, each predicted charging power corresponds to one reference time period, each power difference corresponds to one reference time period, and the time period to be updated is a reference time period corresponding to the target difference.

Wherein the determining of the plurality of reference time periods is to analyze whether the power of the charging pile scheduled for each time period of the previous charging mission plan exceeds the maximum available charging power. If there is a power difference greater than 0, i.e., there is a period of time that would exceed the maximum available charging power, then it is determined how much power will be additionally output and it is determined whether the previously stored power is sufficient to support additional output by the passenger station. If the stored electric quantity is insufficient to support the additional output of the passenger station, the charging task plan needs to be readjusted, and the specific adjustment mode is to adjust the use state of the charging pile in the corresponding period to an idle state, so that the situation that the energy storage state of the charging pile in the corresponding period occupies excessive power is avoided, and the overall power of the passenger station exceeds the maximum rated power provided by the power grid. If the stored electric quantity supports the additional output of the passenger station, the dynamic capacity expansion of the passenger station is realized through peak clipping and valley filling of the energy storage of the charging pile.

Based on the energy storage state of the charging pile, the passenger station can store electric quantity in the low-load period of the power grid so as to supplement the power use of the passenger station in the peak load period of the power grid, thereby realizing the peak clipping and valley filling effects, bringing economic benefits to the passenger station and improving the running stability of the passenger station.

In this example, the peak clipping and valley filling of the passenger station and the dynamic capacity expansion of the passenger station are realized by determining a plurality of reference time periods and determining the predicted charging power to determine whether the original charging mission plan exceeds the maximum available charging power or not and based on the electric quantity storage operation of the charging pile in the energy storage state, so that the stability of the power grid when the passenger station operates is ensured.

And S206, controlling a plurality of charging piles to charge the passenger vehicles according to the updated plurality of charging mission plans.

Fig. 2 is a schematic flow chart of a charging control method provided by the embodiment of the application, wherein an energy management system determines a charging task plan of a plurality of charging piles in a passenger station by acquiring vehicle scheduling information in the next business hours; and updating the charging mission plan according to weather information, date information and the maximum rated power provided by the power grid in the next business hours. Therefore, the embodiment of the application can ensure that the real-time power of the operation of the passenger station does not exceed the maximum rated power provided by the power grid, improves the stability of the power grid, ensures that the passenger station can realize dynamic capacity expansion through the energy storage function of the charging pile, and effectively reduces the resource waste of the operation of the passenger station.

The following are embodiments of the apparatus of the present application, which are within the same concept as embodiments of the method of the present application, for performing the methods described in the embodiments of the present application. For convenience of explanation, the embodiments of the present application are only shown in the parts related to the embodiments of the present application, and specific technical details are not disclosed, please refer to the description of the embodiments of the present application method, which is not repeated here.

The charge control device provided by the embodiment of the application is applied to an energy management system 110 in a passenger station energy system 100 shown in fig. 1, wherein the passenger station energy system 100 comprises the energy management system 110 and a plurality of charging piles 120, the energy management system 110 is in communication connection with the plurality of charging piles 120, and in particular, the charge control device is used for executing the steps executed by the energy management system in the charge control method. The charging control device provided by the embodiment of the application can comprise modules corresponding to the corresponding steps.

The embodiment of the application can divide the functional modules of the charging control device according to the method example, for example, each functional module can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated modules can be realized in a hardware mode or a software functional module mode. The division of the modules in the embodiment of the application is schematic, only one logic function is divided, and other division modes can be adopted in actual implementation.

Fig. 6a is a block diagram of functional units of a charge control device according to an embodiment of the present application in the case of dividing each functional module by corresponding each function; the charge control device 60 includes: a first obtaining unit 601, configured to obtain vehicle shift information of a passenger station in a next business hour, where the vehicle shift information includes a plurality of pieces of vehicle number information, and the vehicle number information includes a departure time, a running line, and a vehicle number of a corresponding passenger vehicle; a first determining unit 602, configured to determine a plurality of charging mission plans according to the plurality of train number information, where each charging mission plan corresponds to one charging pile, and any one of the charging mission plans is configured to indicate a state period corresponding to each use state of the corresponding charging pile in the next business hours, where the use states include an energy storage state, a working state, and an idle state, and the energy storage state is a use state in which the charging pile occupies a preset energy storage power to perform an electric quantity storage process; a second obtaining unit 603, configured to obtain weather information and date information of the next business hours, and a maximum rated power provided by the power grid; a second determining unit 604, configured to determine, according to the weather information, the date information, and the maximum rated power, a maximum available charging power in the next business hours, where the maximum available charging power is an upper limit of safe power that the plurality of charging piles can occupy at the same time; the control unit 605 is configured to update the plurality of charging mission plans according to a current stored power and the maximum available charging power, where the current stored power is a total power stored by the plurality of charging piles at a current time; and controlling the plurality of charging piles to charge the passenger vehicle according to the updated plurality of charging mission plans.

In one possible example, in the aspect of determining a plurality of charging mission plans according to the plurality of train number information, the first determining unit 602 is specifically configured to: determining a plurality of estimated charging time lengths according to a plurality of running lines and a plurality of train numbers in the plurality of train number information, wherein each estimated charging time length corresponds to one of the train numbers and the running lines; determining a plurality of latest charging moments according to the plurality of estimated charging time periods, the plurality of departure times and the preset departure preparation time period, wherein each piece of vehicle number information corresponds to one latest charging moment; determining charging periods of a plurality of charging tasks according to the latest charging moments and the expected charging durations, wherein the use state of the charging pile corresponding to the charging periods is the working state; distributing the plurality of charging tasks to the plurality of charging piles according to a task distribution strategy and a preset use state setting condition, and determining the use state of each charging pile in a non-working period as the energy storage state or the idle state to obtain the plurality of charging task plans, wherein the task distribution strategy is a preset distribution rule for determining the priority of the charging tasks, and the use state setting condition comprises: the duration corresponding to the working state or the energy storage state must not exceed a first preset duration, and the duration corresponding to the idle state must not be less than a second preset duration.

In one possible example, in the determining a plurality of estimated charging durations according to a plurality of the running lines and the plurality of car numbers in the plurality of car number information, the first determining unit 602 is specifically configured to: determining a plurality of standard power consumption parameters according to the plurality of car numbers and a prestored passenger transport vehicle type set, wherein each standard power consumption parameter corresponds to one car number, the passenger transport vehicle type set comprises a corresponding relation between the plurality of car numbers and the plurality of standard power consumption parameters, and the standard power consumption parameters are used for representing average kilometer power consumption of the corresponding passenger transport vehicle type under normal road conditions; acquiring cloud map data; determining the running mileage and the latest road condition information of each running line in the plurality of running lines according to the cloud map data; determining a plurality of actual power consumption parameters according to the plurality of latest road condition information and the plurality of standard power consumption parameters, wherein each of the actual power consumption parameters corresponds to one of the train number information; determining a plurality of estimated power consumption according to the running mileage and the actual power consumption parameters, wherein each estimated power consumption corresponds to one piece of train number information; and determining a plurality of estimated charging time periods according to the plurality of estimated power consumption and the preset charging pile power, wherein each estimated charging time period corresponds to one piece of train number information.

In one possible example, in the aspect of determining the plurality of estimated charging durations according to the plurality of estimated power consumption amounts and the preset charging pile power, the first determining unit 602 is specifically configured to: determining a plurality of earliest vehicle number information according to the plurality of vehicle number information, wherein any earliest departure vehicle number is the vehicle number information with earliest departure time corresponding to the corresponding vehicle number, and each earliest vehicle number information corresponds to one vehicle number; for the plurality of pieces of the vehicle number information, performing the following operations to obtain the plurality of estimated charge durations: judging whether the currently processed train number information belongs to the earliest train number information or not: if the currently processed vehicle number information is the earliest vehicle number information, acquiring a target vehicle residual capacity corresponding to the currently processed vehicle number information, wherein the target vehicle residual capacity is a vehicle residual capacity of the passenger vehicle corresponding to the currently processed vehicle number information; and judging whether the residual quantity of the target vehicle is larger than or equal to the estimated power consumption corresponding to the currently processed vehicle number information: if the residual electric quantity of the target vehicle is larger than or equal to the estimated electric power consumption corresponding to the currently processed vehicle number information, determining that the estimated charging duration corresponding to the currently processed vehicle number information is 0; if the residual electric quantity of the target vehicle is smaller than the estimated power consumption corresponding to the currently processed vehicle number information, determining electric quantity to be charged according to the corresponding estimated power consumption and the residual electric quantity of the target vehicle; determining the estimated charging duration according to the electric quantity to be charged and preset charging pile power; and if the currently processed train number information is not the earliest train number information, determining the estimated charging time according to the corresponding estimated power consumption and the charging pile power.

In one possible example, the charging tasks include a first charging task and a second charging task, and the first determining unit 602 is specifically further configured to: if the first working period of the first charging task is earlier than the second working period of the second charging task, determining that the priority of the first charging task is higher than the priority of the second charging task; if the first working period is the same as the second working period, judging that the first passenger vehicle corresponding to the first charging task and the second passenger vehicle corresponding to the second charging task are multiple-train vehicles or single-train vehicles: if the first passenger vehicle is the multi-train vehicle and the second passenger vehicle is the single-train vehicle, determining that the priority of the first charging task is higher than the priority of the second charging task; if the first passenger vehicle and the second passenger vehicle are the multi-train-number vehicles or the first passenger vehicle and the second passenger vehicle are the single-train-number vehicles, judging whether a first estimated charging duration corresponding to the first charging task is smaller than a second estimated charging duration corresponding to the second charging task: and if the first predicted charging duration is smaller than the second predicted charging duration, determining that the priority of the first charging task is higher than the priority of the second charging task.

In one possible example, the passenger station energy system further comprises an electricity system comprising a lighting system, an air conditioning system, a device system; in the aspect of determining the maximum available charging power for the next business hour according to the weather information, the date information, and the maximum rated power, the second determining unit 604 is specifically configured to: determining temperature information, humidity information and brightness information according to the weather information; determining a date attribute of the next business hours according to the date information, wherein the date attribute is associated with a passenger flow scale, and the date attribute comprises a working day, a rest day and a holiday; determining a first power level from the light information and the date attribute, the first power level being used to characterize a predicted power level of the lighting system; and determining a second power level from the temperature information and the humidity information, the second power level being used to characterize a predicted power level of the air conditioning system; and determining a third power level from the date attribute, the third power level being used to characterize a predicted power level of the device system; determining a predicted power usage based on the first power level, the second power level, and the third power level; and determining the maximum available charging power according to the predicted power consumption and the maximum rated power.

In one possible example, in terms of updating the plurality of charging mission plans according to the current stored charge quantity and the maximum available charging power, the control unit 605 is specifically configured to: determining a plurality of reference time periods according to the plurality of charging mission plans, wherein the reference time periods are time periods formed by any two adjacent moments between the starting moment and the ending moment of each state time period in the plurality of charging mission plans; determining a plurality of predicted charging powers according to the use state of each charging pile in each reference time period, wherein each predicted charging power corresponds to one reference time period; obtaining a plurality of power difference values according to the plurality of predicted charging powers and the maximum available charging power, wherein each power difference value corresponds to one reference time period; if the power difference value greater than 0 exists, determining that at least one power difference value greater than 0 is at least one target difference value; determining total additional output electric quantity according to the at least one target difference value and at least one time period to be updated, wherein the time period to be updated is a reference time period corresponding to the target difference value; and judging whether the current stored electric quantity is larger than the total additional output electric quantity or not: if the current stored electric quantity is greater than or equal to the total additional output electric quantity, keeping the plurality of charging mission plans unchanged; if the current stored electric quantity is smaller than the total additional output electric quantity, updating the use states corresponding to the time periods to be updated in the plurality of charging mission plans from the energy storage states to the idle states in sequence until the total additional output electric quantity corresponding to a new charging mission plan is equal to the current stored electric quantity; and if the power difference values are smaller than or equal to 0, keeping the plurality of charging mission plans unchanged.

In the case of using an integrated unit, as shown in fig. 6b, fig. 6b is a functional unit block diagram of another charge control device according to an embodiment of the present application. In fig. 6b, the charge control device 61 includes: a processing module 612 and a communication module 611. The processing module 612 is configured to control and manage actions of the charge control device, e.g., the steps of the first acquisition unit 601, the first determination unit 602, the second acquisition unit 603, the second determination unit 604, and the control unit 605, and/or other processes for performing the techniques described herein. The communication module 611 is used to support interaction between the charge control device and other devices. As shown in fig. 6b, the charging control device may comprise a memory module 613, the memory module 613 being adapted to store program codes and data of the charging control device.

The processing module 612 may be a processor or controller, such as a central processing unit (Central Processing Unit, CPU), a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module 611 may be a transceiver, an RF circuit, a communication interface, or the like. The memory module 613 may be a memory.

All relevant contents of each scenario related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein. The charge control device 61 may perform the charge control method shown in fig. 2.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

Fig. 7 is a block diagram of an energy management system according to an embodiment of the present application. As shown in fig. 7, the energy management system 700 may include one or more of the following components: a processor 701, a memory 702 coupled with the processor 701, wherein the memory 702 may store one or more computer programs that may be configured to implement the methods as described in the embodiments above when executed by the one or more processors 701. The energy management system 700 may be the energy management system 110 of the above-described embodiment.

The processor 701 may include one or more processing cores. The processor 701 utilizes various interfaces and lines to connect various portions of the overall energy management system 700, perform various functions of the energy management system 700, and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 702, and invoking data stored in the memory 702. Alternatively, the processor 701 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field-Programmable gate array (FPGA), programmable Logic Array (PLA). The processor 701 may integrate one or a combination of several of a central processing unit (CentralProcessing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 701 and may be implemented solely by a single communication chip.

The Memory 702 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). Memory 702 may be used to store instructions, programs, code, sets of codes, or instruction sets. The memory 702 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 implementing at least one function (e.g., a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like. The storage data area may also store data or the like created by the energy management system 700 in use.

It will be appreciated that the energy management system 700 may include more or fewer structural elements than those described in the above structural block diagrams, and is not limited in this regard.

The embodiments of the present application also provide a computer storage medium having stored thereon a computer program/instruction which, when executed by a processor, performs part or all of the steps of any of the methods described in the method embodiments above.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other manners. For example, the device embodiments described above are merely illustrative; for example, the division of the units is only one logic function division, and other division modes can be adopted in actual implementation; for example, multiple units or components may be combined or may be 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 an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

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 on 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 the embodiments of the present invention may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, magnetic disk, optical disk, volatile memory or nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), direct memory bus RAM (DR RAM), and the like, various mediums that can store program code.

Although the present invention is disclosed above, the present invention is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the invention.

Claims

1. The charging control method is characterized by being applied to an energy management system in a passenger station energy system, wherein the passenger station energy system comprises the energy management system and a plurality of charging piles, and the energy management system is in communication connection with the plurality of charging piles; the method comprises the following steps:

2. The method of claim 1, wherein the determining a plurality of charging mission plans based on the plurality of train number information comprises:

determining a plurality of estimated charging time lengths according to a plurality of running lines and a plurality of train numbers in the plurality of train number information, wherein each estimated charging time length corresponds to one of the train numbers and the running lines; the method comprises the steps of,

determining a plurality of latest charging moments according to the plurality of estimated charging time periods, the plurality of departure times and the preset departure preparation time period, wherein each piece of vehicle number information corresponds to one latest charging moment;

Determining charging periods of a plurality of charging tasks according to the latest charging moments and the expected charging durations, wherein the use state of the charging pile corresponding to the charging periods is the working state;

distributing the plurality of charging tasks to the plurality of charging piles according to a task distribution strategy and a preset use state setting condition, and determining the use state of each charging pile in a non-working period as the energy storage state or the idle state to obtain the plurality of charging task plans, wherein the task distribution strategy is a preset distribution rule for determining the priority of the charging tasks, and the use state setting condition comprises: the duration corresponding to the working state or the energy storage state must not exceed a first preset duration, and the duration corresponding to the idle state must not be less than a second preset duration.

3. The method of claim 2, wherein the determining a plurality of predicted charge durations from a plurality of the run lines and the plurality of car numbers in the plurality of car number information comprises:

determining a plurality of standard power consumption parameters according to the plurality of car numbers and a prestored passenger transport vehicle type set, wherein each standard power consumption parameter corresponds to one car number, the passenger transport vehicle type set comprises a corresponding relation between the plurality of car numbers and the plurality of standard power consumption parameters, and the standard power consumption parameters are used for representing average kilometer power consumption of the corresponding passenger transport vehicle type under normal road conditions;

Acquiring cloud map data;

determining the running mileage and the latest road condition information of each running line in the plurality of running lines according to the cloud map data;

determining a plurality of actual power consumption parameters according to the plurality of latest road condition information and the plurality of standard power consumption parameters, wherein each of the actual power consumption parameters corresponds to one of the train number information;

determining a plurality of estimated power consumption according to the running mileage and the actual power consumption parameters, wherein each estimated power consumption corresponds to one piece of train number information;

and determining a plurality of estimated charging time periods according to the plurality of estimated power consumption and the preset charging pile power, wherein each estimated charging time period corresponds to one piece of train number information.

4. The method of claim 3, wherein the determining the plurality of estimated charge durations from the plurality of estimated power consumption amounts and a preset charging pile power comprises:

determining a plurality of earliest vehicle number information according to the plurality of vehicle number information, wherein any earliest departure vehicle number is the vehicle number information with earliest departure time corresponding to the corresponding vehicle number, and each earliest vehicle number information corresponds to one vehicle number;

For the plurality of pieces of the vehicle number information, performing the following operations to obtain the plurality of estimated charge durations:

judging whether the currently processed train number information belongs to the earliest train number information or not:

if the currently processed vehicle number information is the earliest vehicle number information, acquiring a target vehicle residual capacity corresponding to the currently processed vehicle number information, wherein the target vehicle residual capacity is a vehicle residual capacity of the passenger vehicle corresponding to the currently processed vehicle number information; and judging whether the residual quantity of the target vehicle is larger than or equal to the estimated power consumption corresponding to the currently processed vehicle number information:

if the residual electric quantity of the target vehicle is larger than or equal to the estimated electric power consumption corresponding to the currently processed vehicle number information, determining that the estimated charging duration corresponding to the currently processed vehicle number information is 0;

if the residual electric quantity of the target vehicle is smaller than the estimated power consumption corresponding to the currently processed vehicle number information, determining electric quantity to be charged according to the corresponding estimated power consumption and the residual electric quantity of the target vehicle; and determining the estimated charging duration according to the electric quantity to be charged and the charging pile power;

And if the currently processed train number information is not the earliest train number information, determining the estimated charging time according to the corresponding estimated power consumption and the charging pile power.

5. The method of claim 2, wherein the charging tasks comprise a first charging task and a second charging task, the method further comprising:

if the first working period of the first charging task is earlier than the second working period of the second charging task, determining that the priority of the first charging task is higher than the priority of the second charging task;

if the first working period is the same as the second working period, judging that the first passenger vehicle corresponding to the first charging task and the second passenger vehicle corresponding to the second charging task are multiple-train vehicles or single-train vehicles:

if the first passenger vehicle is the multi-train vehicle and the second passenger vehicle is the single-train vehicle, determining that the priority of the first charging task is higher than the priority of the second charging task;

if the first passenger vehicle and the second passenger vehicle are the multi-train-number vehicles or the first passenger vehicle and the second passenger vehicle are the single-train-number vehicles, judging whether a first estimated charging duration corresponding to the first charging task is smaller than a second estimated charging duration corresponding to the second charging task:

And if the first predicted charging duration is smaller than the second predicted charging duration, determining that the priority of the first charging task is higher than the priority of the second charging task.

6. The method of any of claims 1-5, wherein the passenger station energy system further comprises an electrical system comprising a lighting system, an air conditioning system, a facility system; the determining the maximum available charging power in the next business hours according to the weather information, the date information and the maximum rated power comprises the following steps:

determining temperature information, humidity information and brightness information according to the weather information;

determining a date attribute of the next business hours according to the date information, wherein the date attribute is associated with a passenger flow scale, and the date attribute comprises a working day, a rest day and a holiday;

determining a first power level from the light information and the date attribute, the first power level being used to characterize a predicted power level of the lighting system; and determining a second power level from the temperature information and the humidity information, the second power level being used to characterize a predicted power level of the air conditioning system; and determining a third power level from the date attribute, the third power level being used to characterize a predicted power level of the device system;

Determining a predicted power usage based on the first power level, the second power level, and the third power level;

and determining the maximum available charging power according to the predicted power consumption and the maximum rated power.

7. The method of any of claims 1-5, wherein updating the plurality of charging mission plans based on the current stored charge and the maximum available charging power comprises:

determining a plurality of reference time periods according to the plurality of charging mission plans, wherein the reference time periods are time periods formed by any two adjacent moments between the starting moment and the ending moment of each state time period in the plurality of charging mission plans;

determining a plurality of predicted charging powers according to the use state of each charging pile in each reference time period, wherein each predicted charging power corresponds to one reference time period;

obtaining a plurality of power difference values according to the plurality of predicted charging powers and the maximum available charging power, wherein each power difference value corresponds to one reference time period;

if the power difference value greater than 0 exists, determining that at least one power difference value greater than 0 is at least one target difference value; determining total additional output electric quantity according to the at least one target difference value and at least one time period to be updated, wherein the time period to be updated is a reference time period corresponding to the target difference value; and judging whether the current stored electric quantity is larger than the total additional output electric quantity or not:

If the current stored electric quantity is greater than or equal to the total additional output electric quantity, keeping the plurality of charging mission plans unchanged;

if the current stored electric quantity is smaller than the total additional output electric quantity, updating the use states corresponding to the time periods to be updated in the plurality of charging mission plans from the energy storage states to the idle states in sequence until the total additional output electric quantity corresponding to a new charging mission plan is equal to the current stored electric quantity;

and if the power difference values are smaller than or equal to 0, keeping the plurality of charging mission plans unchanged.

8. The charging control device is characterized by being applied to an energy management system in a passenger station energy system, wherein the passenger station energy system comprises the energy management system and a plurality of charging piles, and the energy management system is in communication connection with the plurality of charging piles; the device comprises:

9. An energy management system comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.