CN116613868A - BMS (Battery management System) system of outdoor power supply and outdoor power supply control method - Google Patents

BMS (Battery management System) system of outdoor power supply and outdoor power supply control method Download PDF

Info

Publication number
CN116613868A
CN116613868A CN202310893556.7A CN202310893556A CN116613868A CN 116613868 A CN116613868 A CN 116613868A CN 202310893556 A CN202310893556 A CN 202310893556A CN 116613868 A CN116613868 A CN 116613868A
Authority
CN
China
Prior art keywords
data
equipment
outdoor power
power supply
outdoor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310893556.7A
Other languages
Chinese (zh)
Other versions
CN116613868B (en
Inventor
张克旺
李学军
刘晓琴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
DONGGUAN AOYUAN ELECTRONIC TECHNOLOGY CO LTD
Original Assignee
DONGGUAN AOYUAN ELECTRONIC TECHNOLOGY CO LTD
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by DONGGUAN AOYUAN ELECTRONIC TECHNOLOGY CO LTD filed Critical DONGGUAN AOYUAN ELECTRONIC TECHNOLOGY CO LTD
Priority to CN202310893556.7A priority Critical patent/CN116613868B/en
Publication of CN116613868A publication Critical patent/CN116613868A/en
Application granted granted Critical
Publication of CN116613868B publication Critical patent/CN116613868B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0063—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with circuits adapted for supplying loads from the battery
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • H02J7/0014—Circuits for equalisation of charge between batteries
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007—Regulation of charging or discharging current or voltage
    • H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The invention provides a BMS system of an outdoor power supply and an outdoor power supply control method, wherein a plurality of working models of the outdoor power supply under different use scenes are established according to historical data, so that selectable working models are provided for different subsequent use scenes; determining power consumption requirements/plans and current use scenes according to outdoor activity arrangement plans and conditions of user equipment and power storage equipment, and further determining first outdoor power equipment meeting requirements; finally, determining a corresponding first working model from a plurality of working models according to the electricity demand/planning, the current use scene and the attribute data of the first outdoor power supply equipment; and the first outdoor power equipment is controlled according to the first working model, so that personalized requirements can be met, and more intelligent and more accurate control service can be provided.

Description

BMS (Battery management System) system of outdoor power supply and outdoor power supply control method
Technical Field
The invention relates to the technical field of new energy, in particular to a BMS (battery management system) of an outdoor power supply and an outdoor power supply control method.
Background
With the development of society, the living standard of people is remarkably improved, more and more people are provided with an outdoor power supply, and the outdoor power supply is used for mobile phone charging, notebook charging, lighting, barbecue, electric power for a motor home and the like during traveling, and meanwhile plays an important role in outdoor work such as emergency rescue, medical rescue, environment monitoring, mapping and exploration, army informatization and the like. However, the existing outdoor power supply control system has the problems of inaccurate control, incapacity and the like.
Disclosure of Invention
Based on the above problems, the invention provides the BMS system of the outdoor power supply and the outdoor power supply control method, and the scheme of the invention not only can meet the personalized control requirements of the outdoor power supply in different scenes, but also can provide accurate control service.
In view of the above, an aspect of the present invention provides a BMS system of an outdoor power source, including: the cloud server, the first outdoor power supply equipment and the control processing module;
the cloud server is configured to:
acquiring historical use data of a plurality of outdoor power supply devices, historical scene data when the outdoor power supply devices are used and historical attribute data of the outdoor power supply devices;
establishing a plurality of working models under different scenes according to the historical usage data, the historical scene data and the historical attribute data;
acquiring an outdoor activity arrangement plan, private electric equipment data and private standby power supply data of outdoor activity participators, public electric equipment data and public electricity storage equipment data;
determining first electricity demand/planning data and first scenario data according to the outdoor activity scheduling plan, the private electricity consumption device data, the private standby power supply data, the public electricity consumption device data and the public electricity storage device data;
Determining the first outdoor power equipment meeting electricity demand according to the first electricity demand/planning data and the first scene data;
acquiring first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
determining a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
the control processing module is configured to: and acquiring the first working model from the cloud server, and controlling the first outdoor power equipment according to the first working model.
Optionally, the cloud server is further configured to:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environment data of the plurality of outdoor power supply devices when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
Establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value;
comparing the first current working environment data with the first working environment model to obtain a second difference value;
modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
and controlling the first outdoor power equipment according to the second working model.
Optionally, the cloud server is further configured to:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
And controlling the first outdoor power equipment according to the third working model.
Optionally, the cloud server is further configured to:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model.
Optionally, the step of determining first electricity demand/planning data and first scenario data according to the outdoor activity planning plan, the private electricity consumption device data, the private backup power supply data, the public electricity consumption device data and the public electricity storage device data, wherein the cloud server is specifically configured to:
dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods;
Dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the consumed power of equipment in each process, and counting the total electricity consumption of the process to form a second electricity consumption demand meter with the process as an abscissa and the electricity consumption as an ordinate;
and selecting a first key time period when the electricity utilization change exceeds a preset first change value and/or the equipment type number exceeds a preset first type number according to the first electricity utilization demand table and the second electricity utilization demand table, recording the starting time period and the working state of various equipment in the outdoor activity scheduling plan in detail, accumulating the power of the equipment according to the time period, and calculating the total electricity utilization amount of the time period, thereby obtaining a third electricity utilization demand table.
Another aspect of the present invention provides an outdoor power control method, which is applied to a BMS system of an outdoor power, the BMS system of the outdoor power includes a cloud server, a first outdoor power device, and a control processing module, and the outdoor power control method includes:
the cloud server acquires historical use data of a plurality of outdoor power supply devices, historical scene data when the outdoor power supply devices are used and historical attribute data of the outdoor power supply devices;
The cloud server establishes a plurality of working models under different scenes according to the historical use data, the historical scene data and the historical attribute data;
the cloud server acquires private electric equipment data and private standby power supply data, public electric equipment data and public electricity storage equipment data of outdoor activity participation users according to an outdoor activity arrangement plan;
the cloud server determines first electricity demand/planning data and first scene data according to the outdoor activity scheduling plan, the private electricity consumption equipment data, the private standby power supply data, the public electricity consumption equipment data and the public electricity storage equipment data;
the cloud server determines the first outdoor power supply equipment meeting the electricity demand according to the first electricity demand/planning data and the first scene data;
the cloud server acquires first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
the cloud server determines a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
The control processing module acquires the first working model from the cloud server, and controls the first outdoor power supply equipment according to the first working model.
Optionally, the method further comprises:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environment data of the plurality of outdoor power supply devices when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value;
comparing the first current working environment data with the first working environment model to obtain a second difference value;
modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
And controlling the first outdoor power equipment according to the second working model.
Optionally, the method further comprises:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
and controlling the first outdoor power equipment according to the third working model.
Optionally, the method further comprises:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model.
Optionally, the step of determining the first electricity demand/planning data and the first scenario data according to the outdoor activity planning plan, the private electricity consumption device data, the private backup power source data, the public electricity consumption device data and the public electricity storage device data comprises:
Dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods;
dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the consumed power of equipment in each process, and counting the total electricity consumption of the process to form a second electricity consumption demand meter with the process as an abscissa and the electricity consumption as an ordinate;
and selecting a first key time period when the electricity utilization change exceeds a preset first change value and/or the equipment type number exceeds a preset first type number according to the first electricity utilization demand table and the second electricity utilization demand table, recording the starting time period and the working state of various equipment in the outdoor activity scheduling plan in detail, accumulating the power of the equipment according to the time period, and calculating the total electricity utilization amount of the time period, thereby obtaining a third electricity utilization demand table.
By adopting the technical scheme, a plurality of working models of the outdoor power supply under different use scenes are established according to the historical data, so that selectable working models are provided for different subsequent use scenes; determining power consumption requirements/plans and current use scenes according to outdoor activity arrangement plans and conditions of user equipment and power storage equipment, and further determining first outdoor power equipment meeting requirements; finally, determining a corresponding first working model from a plurality of working models according to the electricity demand/planning, the current use scene and the attribute data of the first outdoor power supply equipment; and the first outdoor power equipment is controlled according to the first working model, so that personalized requirements can be met, and more intelligent and more accurate control service can be provided.
Drawings
Fig. 1 is a schematic block diagram of a BMS system of an outdoor power source provided in one embodiment of the present application;
fig. 2 is a flowchart of an outdoor power control method according to an embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced otherwise than as described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
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.
A BMS system for an outdoor power source and an outdoor power source control method according to some embodiments of the present invention are described below with reference to fig. 1 to 2.
As shown in fig. 1, an embodiment of the present invention provides a BMS system of an outdoor power source, including: the cloud server, the first outdoor power supply equipment and the control processing module;
the cloud server is configured to:
acquiring historical usage data (including historical work data) of a plurality of outdoor power equipment, historical scene data when the outdoor power equipment is used, and historical attribute data (including but not limited to outgoing use, number of people, electric equipment, power generation equipment, use location, use time and the like) of the outdoor power equipment;
establishing a plurality of working models (including working models of working independently or in combination of different or same types of outdoor power supplies in different scenes) in different scenes according to the historical usage data, the historical scene data and the historical attribute data;
acquiring outdoor activity scheduling plans (including but not limited to activity time, activity place, number of participating users, basic information, activity content and the like), private electric equipment data and private standby power supply data of the outdoor activity participating users, public electric equipment data and public electric storage equipment data (such as data of self-storage equipment of the public electric equipment, standby public power cut equipment which cannot be used under non-critical conditions and the like);
Determining first electricity demand/planning data and first scenario data according to the outdoor activity scheduling plan, the private electricity consumption device data, the private standby power supply data, the public electricity consumption device data and the public electricity storage device data;
determining the first outdoor power equipment meeting electricity demand according to the first electricity demand/planning data and the first scene data;
acquiring first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
determining a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
the control processing module is configured to: and acquiring the first working model from the cloud server, and controlling the first outdoor power equipment according to the first working model.
According to the embodiment of the invention, the historical use data of a plurality of outdoor power supply devices, the historical scene data when the outdoor power supply devices are used and the historical attribute data of the outdoor power supply devices are obtained; establishing a plurality of working models under different scenes according to the historical usage data, the historical scene data and the historical attribute data; acquiring an outdoor activity arrangement plan, private electric equipment data and private standby power supply data of outdoor activity participators, public electric equipment data and public electricity storage equipment data; determining first electricity demand/planning data and first scenario data according to the outdoor activity scheduling plan, the private electricity consumption device data, the private standby power supply data, the public electricity consumption device data and the public electricity storage device data; determining the first outdoor power equipment meeting electricity demand according to the first electricity demand/planning data and the first scene data; acquiring first outdoor power supply equipment attribute data of the first outdoor power supply equipment; determining a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data; and acquiring the first working model, and controlling the first outdoor power equipment according to the first working model. According to the scheme provided by the embodiment of the invention, a plurality of working models of the outdoor power supply under different use scenes are established according to the historical data, so that selectable working models are provided for different subsequent use scenes; determining power consumption requirements/plans and current use scenes according to outdoor activity arrangement plans and conditions of user equipment and power storage equipment, and further determining first outdoor power equipment meeting requirements; finally, determining a corresponding first working model from a plurality of working models according to the electricity demand/planning, the current use scene and the attribute data of the first outdoor power supply equipment; and the first outdoor power equipment is controlled according to the first working model, so that personalized requirements can be met, and more intelligent and more accurate control service can be provided.
It should be understood that the block diagram of the BMS system of the outdoor power source shown in fig. 1 is only schematic, and the number of the illustrated modules is not limiting to the scope of the present invention.
In some possible embodiments of the present invention, the cloud server is further configured to:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environmental data (including, but not limited to, terrain data, temperature data, weather data, light data, humidity data, air composition data, microorganism data, etc.) of the plurality of outdoor power equipment when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value (comprising the difference between all the parts and the parts without the difference);
Comparing the first current working environment data with the first working environment model to obtain a second difference value (comprising the difference among all the parts and the parts which are not included);
modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
and controlling the first outdoor power equipment according to the second working model.
It can be appreciated that, in order to enable the control of the first outdoor power equipment to be more intelligent and accurate, in this embodiment, by comparing differences between the first outdoor power equipment and other outdoor power equipment in terms of three-dimensional models, working environments and the like, the first working model of the other outdoor power equipment is modified according to the difference value, so as to obtain a second working model suitable for the first outdoor power equipment.
In some possible embodiments of the present invention, the cloud server is further configured to:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
Determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
and controlling the first outdoor power equipment according to the third working model.
It may be appreciated that, in order to further obtain a working model more suitable for the current use scenario to accurately control the outdoor power equipment, in this embodiment, current actual participant data (including, but not limited to, the number and feature data of actual participants, the first actual private consumer data of actual participants, and the first actual private standby power data of actual participants, which may be image data, network connection data, bluetooth connection data, etc.) is obtained in real time; modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data; determining a first public electric equipment and a first public electric storage equipment (such as self-storage equipment of the public electric equipment, standby public power failure equipment which cannot be used under non-critical conditions and the like) which need to be used according to the second electricity demand/planning data; correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model; and controlling the first outdoor power equipment according to the third working model.
In some possible embodiments of the present invention, the cloud server is further configured to:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model (including but not limited to control and management of battery charging and discharging, such as control and management of solar panels, wind power generation systems and the like, and control and management of balancing and maintenance of batteries, fault diagnosis and alarm of the batteries, data storage and communication of the batteries and the like in the first outdoor power equipment).
It can be appreciated that, in order to adjust/control the outdoor power equipment according to its state more timely and accurately, in this embodiment, first current state data (including, but not limited to, voltage, temperature, current, etc. of the whole/single battery, and first inclination data, first vibration data, first sound data, first smell data, etc. of the first outdoor power equipment) of the first outdoor power equipment is obtained; the first outdoor power equipment is controlled according to the first current state data and the third working model (including but not limited to control and management of battery charging and discharging, such as control and management of solar panels, wind power generation systems and the like, control and management of battery balancing and maintenance, battery fault diagnosis and alarm, battery data storage and communication and the like in the first outdoor power equipment, and safety control, such as working safety control, data transmission safety control and the like, and further monitoring and management can be performed by combining the intelligent sensing terminals of the Internet of things and the Internet of things.
In some possible embodiments of the present invention, the step of determining first electricity demand/planning data and first scenario data from the outdoor activity planning, the private electricity consumption device data, the private backup power source data, the public electricity consumption device data and the public electricity storage device data, the cloud server is specifically configured to:
step 1: dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
step 2: selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods; dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the power consumption of equipment in each process, counting the total power consumption of the process, forming a second power consumption demand table with the process as an abscissa and the power consumption as an ordinate (namely, analyzing the internal activity process in detail, accurately calculating the power consumption of the period, and replacing and optimizing);
Step 3: selecting a first key time period when the electricity change exceeds a preset first change value and/or the equipment type number exceeds a preset first type number according to the first electricity demand table and the second electricity demand table, recording the starting time period and the working state of various equipment in the outdoor activity scheduling plan in detail, accumulating the power of each equipment according to time period, calculating the total electricity consumption of the time period, and obtaining a third electricity demand table (namely, carrying out detailed recording and calculation on the working state and the power of each equipment to obtain the accurate electricity consumption of the time periods, and optimizing the electricity demand table again);
in the embodiment of the invention, in the calculation process, for other relatively simple time periods, the calculation can be continuously performed by adopting the step 1 or the step 2, a certain error is considered in the result, and the final electricity consumption requirement table is obtained after comprehensive comparison with the calculation result of the key time period.
And finally, evaluating the result of the whole electricity consumption demand meter, checking and analyzing the period with larger electric quantity jump, and correcting and optimizing if necessary to ensure that the change curve is smoother and more continuous, thereby further improving the accuracy of the schedule.
In this embodiment, under the overall grasp of the activity plan, the calculation modes of different levels are selected in a targeted manner, so that efficiency and precision are considered, and a comprehensive and accurate electricity demand schedule is obtained through comparison, correction and optimization of multiple layers. The quantitative and qualitative combined calculation mode can be well adapted to the electricity demand analysis of a complex activity plan, and the calculation result is more reliable, so that an important basis is provided for the design and management of an outdoor power supply system, and the method is an ideal electricity demand assessment method.
In some possible embodiments of the present invention, in the calculation, in order to consider the factors such as fluctuation of the power of the device and the working efficiency, the following aspects may be refined:
1. device power selection upper limit: when the working state and power of each device are recorded, the upper limit value of the power is selected for calculation, and the fluctuation of the power can be considered (for example, the upper limit value can be 110% -120% of the rated power of the device);
2. coefficient of working efficiency: for some devices, the actual operating efficiency will be lower than the theoretical value, which can be modified by the operating efficiency coefficient (e.g., 85% for the generator set, then 0.85% for its power calculation);
3. discharge cutoff coefficient of energy storage device: if the storage battery is used for power supply, the discharge is required to be finished in advance in consideration of incomplete discharge, and 80% capacity is generally selected for calculation.
4. Meanwhile, the power superposition error of the working equipment is as follows: when a plurality of devices are operated simultaneously, the peak power of the devices cannot be completely overlapped, and a certain error exists, so that a certain margin can be increased when the total power consumption is calculated, for example, the error is increased by 10%.
5. Human misoperation and uncertainty factors: under the condition that personnel operate movable equipment, certain errors and uncertain factors exist, and the errors and the uncertain factors also need to be considered in calculation, and the error allowance of 5% -10% can be increased.
6. Extreme weather effects: in individual extreme weather conditions, the power consumption of the device may increase significantly, which requires an additional margin of error to be added during critical periods, such as 20% power calculation in cold weather.
In summary, for uncertain factors such as parameters of equipment, personnel operation, extreme environment and the like, a certain error prediction and solution are performed in a calculation result by adopting modes such as power upper limit selection, work efficiency correction, cut-off capacity advance, error superposition amount and the like, so that a finally obtained electricity demand schedule is more stable, safer and more reliable, and is also a key point for performing fine calculation.
By the scheme of the embodiment of the invention, various uncertain factors affecting the calculation of the power consumption can be comprehensively analyzed and considered, the calculation omission and underestimation are avoided to a certain extent, the evaluation result is more accurate and reliable, and an important reference is provided for the control and management of an outdoor power supply system.
In some possible embodiments of the present invention, for outdoor power equipment, the balance management between battery cells is very important, and good balance management can reduce the difference between the cells, and improve the performance and service life of the battery pack. The main equalization management method comprises the following steps:
1. Passive equalization: the electrolyte and the conductivity in the battery are used for connecting the monomers, so that a certain automatic balancing effect is realized. But the effect is poor and the problem cannot be completely solved.
2. Active resistance equalization: the resistors are connected among the monomers to form a longitudinal resistor network, so that the purpose of balancing is achieved. Compared with a passive mode, the device has the advantages that the power consumption is larger.
3. Active switching equalization: the switch elements are adopted to form longitudinal connection between the monomers, and the equalization is achieved by controlling the on time of the switch, so that the equalization method is a better equalization mode at present.
4. Monomer bypass equalization: the bypass resistor or the bypass switch is connected in parallel to the monomer with higher average voltage, so that the electric quantity of the high-voltage monomer is released to realize balance, and the mode can be used for effectively controlling the out-of-tolerance monomer.
5. Novel DC/DC equalization technique: the DC/DC converter is utilized to reduce or boost the voltage of each single body, so that the voltage of each single body is indirectly absorbed to a similar level, and the electric quantity balance is realized, thus being an efficient but high-cost scheme.
It can be understood that, in specific implementation, algorithms and strategies such as frequency, current limit, in-out balance judgment conditions and the like of balance control are also required to be considered, and the high-performance BMS system integrates various balance means and adopts advanced algorithms and control schemes to realize full-automatic precise balance control. The good balance management can reduce the difference among the monomers, improve the effective utilization of the energy of the battery pack to the maximum extent, and prolong the cycle life of the battery.
In some possible embodiments of the present invention, the battery balancing requirement is evaluated according to the historical operation data, and the partial charge and discharge is selected to be performed periodically, for example, by detecting the voltage difference of the single body, if a certain threshold is exceeded, the high voltage group is discharged, and the low voltage group is charged, so as to achieve balancing. The battery state is evaluated according to historical use data, battery detection parameters and the like by adopting strategies such as regular full charge and discharge, partial charge and discharge or increasing charge and discharge frequency, and the like, and the method is timely adjusted and optimized, so that the attenuation of the battery capacity can be effectively delayed, and the service life is prolonged.
Referring to fig. 2, another embodiment of the present invention provides an outdoor power control method, which is applied to a BMS system of an outdoor power, wherein the BMS system of the outdoor power includes a cloud server, a first outdoor power device, and a control processing module, and the outdoor power control method includes:
the cloud server acquires historical usage data (including historical working data) of a plurality of outdoor power supply devices, historical scene data when the outdoor power supply devices are used, and historical attribute data (including but not limited to outgoing use, number of people, electric equipment, power generation equipment, use positions, use time and the like) of the outdoor power supply devices;
The cloud server establishes a plurality of working models (including working models of working by outdoor power supplies of different types or the same type in different scenes singly or in combination) in different scenes according to the historical use data, the historical scene data and the historical attribute data;
the cloud server acquires outdoor activity scheduling plans (including but not limited to activity time, activity places, the number of participating users, basic information, activity content and the like), private electric equipment data and private standby power supply data of the outdoor activity participating users, public electric equipment data and public electric storage equipment data (such as data of self-storage equipment of the public electric equipment, standby public power failure equipment which cannot be used under non-critical conditions and the like);
the cloud server determines first electricity demand/planning data and first scene data according to the outdoor activity scheduling plan, the private electricity consumption equipment data, the private standby power supply data, the public electricity consumption equipment data and the public electricity storage equipment data;
the cloud server determines the first outdoor power supply equipment meeting the electricity demand according to the first electricity demand/planning data and the first scene data;
The cloud server acquires first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
the cloud server determines a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
the control processing module acquires the first working model from the cloud server, and controls the first outdoor power supply equipment according to the first working model.
According to the embodiment of the invention, the historical use data of a plurality of outdoor power supply devices, the historical scene data when the outdoor power supply devices are used and the historical attribute data of the outdoor power supply devices are obtained; establishing a plurality of working models under different scenes according to the historical usage data, the historical scene data and the historical attribute data; acquiring an outdoor activity arrangement plan, private electric equipment data and private standby power supply data of outdoor activity participators, public electric equipment data and public electricity storage equipment data; determining first electricity demand/planning data and first scenario data according to the outdoor activity scheduling plan, the private electricity consumption device data, the private standby power supply data, the public electricity consumption device data and the public electricity storage device data; determining the first outdoor power equipment meeting electricity demand according to the first electricity demand/planning data and the first scene data; acquiring first outdoor power supply equipment attribute data of the first outdoor power supply equipment; determining a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data; and acquiring the first working model, and controlling the first outdoor power equipment according to the first working model. According to the scheme provided by the embodiment of the invention, a plurality of working models of the outdoor power supply under different use scenes are established according to the historical data, so that selectable working models are provided for different subsequent use scenes; determining power consumption requirements/plans and current use scenes according to outdoor activity arrangement plans and conditions of user equipment and power storage equipment, and further determining first outdoor power equipment meeting requirements; finally, determining a corresponding first working model from a plurality of working models according to the electricity demand/planning, the current use scene and the attribute data of the first outdoor power supply equipment; and the first outdoor power equipment is controlled according to the first working model, so that personalized requirements can be met, and more intelligent and more accurate control service can be provided.
In some possible embodiments of the present invention, the method further comprises:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environmental data (including, but not limited to, terrain data, temperature data, weather data, light data, humidity data, air composition data, microorganism data, etc.) of the plurality of outdoor power equipment when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value (comprising the difference between all the parts and the parts without the difference);
comparing the first current working environment data with the first working environment model to obtain a second difference value (comprising the difference among all the parts and the parts which are not included);
Modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
and controlling the first outdoor power equipment according to the second working model.
It can be appreciated that, in order to enable the control of the first outdoor power equipment to be more intelligent and accurate, in this embodiment, by comparing differences between the first outdoor power equipment and other outdoor power equipment in terms of three-dimensional models, working environments and the like, the first working model of the other outdoor power equipment is modified according to the difference value, so as to obtain a second working model suitable for the first outdoor power equipment.
In some possible embodiments of the present invention, the method further comprises:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
And controlling the first outdoor power equipment according to the third working model.
It may be appreciated that, in order to further obtain a working model more suitable for the current use scenario to accurately control the outdoor power equipment, in this embodiment, current actual participant data (including, but not limited to, the number and feature data of actual participants, the first actual private consumer data of actual participants, and the first actual private standby power data of actual participants, which may be image data, network connection data, bluetooth connection data, etc.) is obtained in real time; modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data; determining a first public electric equipment and a first public electric storage equipment (such as self-storage equipment of the public electric equipment, standby public power failure equipment which cannot be used under non-critical conditions and the like) which need to be used according to the second electricity demand/planning data; correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model; and controlling the first outdoor power equipment according to the third working model.
In some possible embodiments of the present invention, the method further comprises:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model.
It can be appreciated that, in order to adjust/control the outdoor power equipment according to its state more timely and accurately, in this embodiment, first current state data (including, but not limited to, voltage, temperature, current, etc. of the whole/single battery, and first inclination data, first vibration data, first sound data, first smell data, etc. of the first outdoor power equipment) of the first outdoor power equipment is obtained; the first outdoor power equipment is controlled according to the first current state data and the third working model (including but not limited to control and management of battery charging and discharging, such as control and management of solar panels, wind power generation systems and the like, control and management of battery balancing and maintenance, battery fault diagnosis and alarm, battery data storage and communication and the like in the first outdoor power equipment, and safety control, such as working safety control, data transmission safety control and the like, and further monitoring and management can be performed by combining the intelligent sensing terminals of the Internet of things and the Internet of things.
In some possible embodiments of the present invention, the step of determining first electricity demand/planning data and first scenario data from the outdoor activity planning, the private electricity consumption device data, the private backup power source data, the public electricity consumption device data and the public electricity storage device data includes:
step 1: dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
step 2: selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods; dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the power consumption of equipment in each process, counting the total power consumption of the process, forming a second power consumption demand table with the process as an abscissa and the power consumption as an ordinate (namely, analyzing the internal activity process in detail, accurately calculating the power consumption of the period, and replacing and optimizing);
Step 3: according to the first electricity demand meter and the second electricity demand meter, a first key time period when electricity change exceeds a preset first change value and/or the number of equipment types exceeds a preset first number is selected, the starting time period and the working state of various equipment in the outdoor activity scheduling plan are recorded in detail, the power of the equipment is accumulated according to time periods to calculate the total electricity consumption of the time period, and therefore a third electricity demand meter is obtained (namely the working state and the power of the equipment are recorded and calculated in detail to obtain the accurate electricity consumption of the time periods, and the electricity demand meter is optimized again).
In the embodiment of the invention, in the calculation process, for other relatively simple time periods, the calculation can be continuously performed by adopting the step 1 or the step 2, a certain error is considered in the result, and the final electricity consumption requirement table is obtained after comprehensive comparison with the calculation result of the key time period.
And finally, evaluating the result of the whole electricity consumption demand meter, checking and analyzing the period with larger electric quantity jump, and correcting and optimizing if necessary to ensure that the change curve is smoother and more continuous, thereby further improving the accuracy of the schedule.
In this embodiment, under the overall grasp of the activity plan, the calculation modes of different levels are selected in a targeted manner, so that efficiency and precision are considered, and a comprehensive and accurate electricity demand schedule is obtained through comparison, correction and optimization of multiple layers. The quantitative and qualitative combined calculation mode can be well adapted to the electricity demand analysis of a complex activity plan, and the calculation result is more reliable, so that an important basis is provided for the design and management of an outdoor power supply system, and the method is an ideal electricity demand assessment method.
In some possible embodiments of the present invention, in the calculation, in order to consider the factors such as fluctuation of the power of the device and the working efficiency, the following aspects may be refined:
1. device power selection upper limit: when the working state and power of each device are recorded, the upper limit value of the power is selected for calculation, and the fluctuation of the power can be considered (for example, the upper limit value can be 110% -120% of the rated power of the device);
2. coefficient of working efficiency: for some devices, the actual operating efficiency will be lower than the theoretical value, which can be modified by the operating efficiency coefficient (e.g., 85% for the generator set, then 0.85% for its power calculation);
3. discharge cutoff coefficient of energy storage device: if the storage battery is used for power supply, the discharge is required to be finished in advance in consideration of incomplete discharge, and 80% capacity is generally selected for calculation.
4. Meanwhile, the power superposition error of the working equipment is as follows: when a plurality of devices are operated simultaneously, the peak power of the devices cannot be completely overlapped, and a certain error exists, so that a certain margin can be increased when the total power consumption is calculated, for example, the error is increased by 10%.
5. Human misoperation and uncertainty factors: under the condition that personnel operate movable equipment, certain errors and uncertain factors exist, and the errors and the uncertain factors also need to be considered in calculation, and the error allowance of 5% -10% can be increased.
6. Extreme weather effects: in individual extreme weather conditions, the power consumption of the device may increase significantly, which requires an additional margin of error to be added during critical periods, such as 20% power calculation in cold weather.
In summary, for uncertain factors such as parameters of equipment, personnel operation, extreme environment and the like, a certain error prediction and solution are performed in a calculation result by adopting modes such as power upper limit selection, work efficiency correction, cut-off capacity advance, error superposition amount and the like, so that a finally obtained electricity demand schedule is more stable, safer and more reliable, and is also a key point for performing fine calculation.
By the scheme of the embodiment of the invention, various uncertain factors affecting the calculation of the power consumption can be comprehensively analyzed and considered, the calculation omission and underestimation are avoided to a certain extent, the evaluation result is more accurate and reliable, and an important reference is provided for the control and management of an outdoor power supply system.
In some possible embodiments of the present invention, for outdoor power equipment, the balance management between battery cells is very important, and good balance management can reduce the difference between the cells, and improve the performance and service life of the battery pack. The main equalization management method comprises the following steps:
1. Passive equalization: the electrolyte and the conductivity in the battery are used for connecting the monomers, so that a certain automatic balancing effect is realized. But the effect is poor and the problem cannot be completely solved.
2. Active resistance equalization: the resistors are connected among the monomers to form a longitudinal resistor network, so that the purpose of balancing is achieved. Compared with a passive mode, the device has the advantages that the power consumption is larger.
3. Active switching equalization: the switch elements are adopted to form longitudinal connection between the monomers, and the equalization is achieved by controlling the on time of the switch, so that the equalization method is a better equalization mode at present.
4. Monomer bypass equalization: the bypass resistor or the bypass switch is connected in parallel to the monomer with higher average voltage, so that the electric quantity of the high-voltage monomer is released to realize balance, and the mode can be used for effectively controlling the out-of-tolerance monomer.
5. Novel DC/DC equalization technique: the DC/DC converter is utilized to reduce or boost the voltage of each single body, so that the voltage of each single body is indirectly absorbed to a similar level, and the electric quantity balance is realized, thus being an efficient but high-cost scheme.
It can be understood that, in specific implementation, algorithms and strategies such as frequency, current limit, in-out balance judgment conditions and the like of balance control are also required to be considered, and the high-performance BMS system integrates various balance means and adopts advanced algorithms and control schemes to realize full-automatic precise balance control. The good balance management can reduce the difference among the monomers, improve the effective utilization of the energy of the battery pack to the maximum extent, and prolong the cycle life of the battery.
In some possible embodiments of the present application, the battery balancing requirement is evaluated according to the historical operation data, and the partial charge and discharge is selected to be performed periodically, for example, by detecting the voltage difference of the single body, if a certain threshold is exceeded, the high voltage group is discharged, and the low voltage group is charged, so as to achieve balancing. The battery state is evaluated according to historical use data, battery detection parameters and the like by adopting strategies such as regular full charge and discharge, partial charge and discharge or increasing charge and discharge frequency, and the like, and the method is timely adjusted and optimized, so that the attenuation of the battery capacity can be effectively delayed, and the service life is prolonged.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently 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 for 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 by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing 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 an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components 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 the embodiments 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 described above, 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, comprising 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 above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Although the present application is disclosed above, the present application 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 application.

Claims (10)

1. A BMS system for an outdoor power source, comprising: the cloud server, the first outdoor power supply equipment and the control processing module;
the cloud server is configured to:
acquiring historical use data of a plurality of outdoor power supply devices, historical scene data when the outdoor power supply devices are used and historical attribute data of the outdoor power supply devices;
Establishing a plurality of working models under different scenes according to the historical usage data, the historical scene data and the historical attribute data;
acquiring an outdoor activity arrangement plan, private electric equipment data and private standby power supply data of outdoor activity participators, public electric equipment data and public electricity storage equipment data;
determining first electricity demand/planning data and first scenario data according to the outdoor activity scheduling plan, the private electricity consumption device data, the private standby power supply data, the public electricity consumption device data and the public electricity storage device data;
determining the first outdoor power equipment meeting electricity demand according to the first electricity demand/planning data and the first scene data;
acquiring first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
determining a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
the control processing module is configured to: and acquiring the first working model from the cloud server, and controlling the first outdoor power equipment according to the first working model.
2. The BMS system of outdoor power source of claim 1, wherein the cloud server is further configured to:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environment data of the plurality of outdoor power supply devices when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value;
comparing the first current working environment data with the first working environment model to obtain a second difference value;
modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
And controlling the first outdoor power equipment according to the second working model.
3. The BMS system of outdoor power source of claim 2, wherein the cloud server is further configured to:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
and controlling the first outdoor power equipment according to the third working model.
4. The BMS system of claim 3, wherein the cloud server is further configured to:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model.
5. The BMS system of outdoor power of claim 4, wherein the step of determining first electricity demand/planning data and first scenario data from the outdoor activity planning, the private consumer data, the private backup power data, the public consumer data, and the public electricity storage device data, the cloud server is specifically configured to:
Dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods;
dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the consumed power of equipment in each process, and counting the total electricity consumption of the process to form a second electricity consumption demand meter with the process as an abscissa and the electricity consumption as an ordinate;
and selecting a first key time period when the electricity utilization change exceeds a preset first change value and/or the equipment type number exceeds a preset first type number according to the first electricity utilization demand table and the second electricity utilization demand table, recording the starting time period and the working state of various equipment in the outdoor activity scheduling plan in detail, accumulating the power of the equipment according to the time period, and calculating the total electricity utilization amount of the time period, thereby obtaining a third electricity utilization demand table.
6. An outdoor power supply control method is characterized by being applied to a BMS system of an outdoor power supply, wherein the BMS system of the outdoor power supply comprises a cloud server, first outdoor power supply equipment and a control processing module, and the outdoor power supply control method comprises the following steps:
the cloud server acquires historical use data of a plurality of outdoor power supply devices, historical scene data when the outdoor power supply devices are used and historical attribute data of the outdoor power supply devices;
the cloud server establishes a plurality of working models under different scenes according to the historical use data, the historical scene data and the historical attribute data;
the cloud server acquires private electric equipment data and private standby power supply data, public electric equipment data and public electricity storage equipment data of outdoor activity participation users according to an outdoor activity arrangement plan;
the cloud server determines first electricity demand/planning data and first scene data according to the outdoor activity scheduling plan, the private electricity consumption equipment data, the private standby power supply data, the public electricity consumption equipment data and the public electricity storage equipment data;
the cloud server determines the first outdoor power supply equipment meeting the electricity demand according to the first electricity demand/planning data and the first scene data;
The cloud server acquires first outdoor power supply equipment attribute data of the first outdoor power supply equipment;
the cloud server determines a corresponding first working model from the plurality of working models according to the first electricity demand/planning data, the first scene data and the first outdoor power equipment attribute data;
the control processing module acquires the first working model from the cloud server, and controls the first outdoor power supply equipment according to the first working model.
7. The outdoor power control method according to claim 6, further comprising:
acquiring three-dimensional point cloud data of each component of the plurality of outdoor power supply devices, and respectively establishing a first three-dimensional model corresponding to each outdoor power supply device in the plurality of outdoor power supply devices according to the three-dimensional point cloud data;
acquiring historical environment data of the plurality of outdoor power supply devices when in use;
generating a first working environment model of each outdoor power supply device in the plurality of outdoor power supply devices according to the historical environment data;
acquiring second three-dimensional point cloud data and first current working environment data of each component of the first outdoor power equipment;
Establishing a second three-dimensional model of the first outdoor power supply equipment according to the second three-dimensional point cloud data;
comparing the two three-dimensional models with the first three-dimensional model to obtain a first difference value;
comparing the first current working environment data with the first working environment model to obtain a second difference value;
modifying the first working model by using the second three-dimensional model and the first current working environment data according to the first difference value and the second difference value to obtain a second working model;
and controlling the first outdoor power equipment according to the second working model.
8. The outdoor power control method according to claim 7, further comprising:
acquiring current actual participant data in real time;
modifying the first electricity demand/planning data according to the current actual participant data to obtain second electricity demand/planning data;
determining first public electric equipment and first public electric storage equipment which need to be used according to the second electricity demand/planning data;
correcting the second working model according to the related data of the first public electric equipment and the first public electricity storage equipment to obtain a third working model;
And controlling the first outdoor power equipment according to the third working model.
9. The outdoor power control method according to claim 8, further comprising:
acquiring first current state data of the first outdoor power equipment;
and controlling the first outdoor power equipment according to the first current state data and the third working model.
10. The outdoor power control method of claim 9, wherein the step of determining first electricity demand/planning data and first scenario data from the outdoor activity planning, the private electricity consumption device data, the private backup power data, the public electricity consumption device data, and the public electricity storage device data comprises:
dividing the predicted outdoor activity duration into a plurality of time periods according to the outdoor activity scheduling plan, and counting the average power of all the private electric equipment data and the public electric equipment in each time period to obtain the total electric consumption of the time period, so as to form a first electric demand meter with time as an abscissa and electric consumption as an ordinate to estimate the total electric consumption and the power supply capacity demand;
Selecting a plurality of first time periods of which the power consumption exceeds a first preset power consumption and/or corresponding events are first preset events from the plurality of time periods;
dividing each continuous working process in the outdoor activity scheduling plan, analyzing the working state and the consumed power of equipment in each process, and counting the total electricity consumption of the process to form a second electricity consumption demand meter with the process as an abscissa and the electricity consumption as an ordinate;
and selecting a first key time period when the electricity utilization change exceeds a preset first change value and/or the equipment type number exceeds a preset first type number according to the first electricity utilization demand table and the second electricity utilization demand table, recording the starting time period and the working state of various equipment in the outdoor activity scheduling plan in detail, accumulating the power of the equipment according to the time period, and calculating the total electricity utilization amount of the time period, thereby obtaining a third electricity utilization demand table.
CN202310893556.7A 2023-07-20 2023-07-20 BMS (Battery management System) system of outdoor power supply and outdoor power supply control method Active CN116613868B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310893556.7A CN116613868B (en) 2023-07-20 2023-07-20 BMS (Battery management System) system of outdoor power supply and outdoor power supply control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310893556.7A CN116613868B (en) 2023-07-20 2023-07-20 BMS (Battery management System) system of outdoor power supply and outdoor power supply control method

Publications (2)

Publication Number Publication Date
CN116613868A true CN116613868A (en) 2023-08-18
CN116613868B CN116613868B (en) 2024-01-30

Family

ID=87680496

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310893556.7A Active CN116613868B (en) 2023-07-20 2023-07-20 BMS (Battery management System) system of outdoor power supply and outdoor power supply control method

Country Status (1)

Country Link
CN (1) CN116613868B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117200413A (en) * 2023-09-27 2023-12-08 东莞市奥源电子科技有限公司 Multi-power-supply collaborative charging control method based on outdoor power-supply solar panel

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107122864A (en) * 2017-04-28 2017-09-01 国网山东省电力公司泰安供电公司 Power consumer requirement analysis method and device
CN112508306A (en) * 2020-12-28 2021-03-16 深圳供电局有限公司 Self-adaptive method and system for power production configuration
CN113060036A (en) * 2021-03-15 2021-07-02 远景智能国际私人投资有限公司 Charging control method and device for optical storage charging station, server and storage medium
CN113361935A (en) * 2021-06-08 2021-09-07 广东电网有限责任公司 Electric power energy scheduling method and device and energy scheduling system
CN115733168A (en) * 2022-11-24 2023-03-03 佳源科技股份有限公司 Energy storage charging and discharging management method and system, control terminal and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107122864A (en) * 2017-04-28 2017-09-01 国网山东省电力公司泰安供电公司 Power consumer requirement analysis method and device
CN112508306A (en) * 2020-12-28 2021-03-16 深圳供电局有限公司 Self-adaptive method and system for power production configuration
CN113060036A (en) * 2021-03-15 2021-07-02 远景智能国际私人投资有限公司 Charging control method and device for optical storage charging station, server and storage medium
CN113361935A (en) * 2021-06-08 2021-09-07 广东电网有限责任公司 Electric power energy scheduling method and device and energy scheduling system
CN115733168A (en) * 2022-11-24 2023-03-03 佳源科技股份有限公司 Energy storage charging and discharging management method and system, control terminal and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117200413A (en) * 2023-09-27 2023-12-08 东莞市奥源电子科技有限公司 Multi-power-supply collaborative charging control method based on outdoor power-supply solar panel
CN117200413B (en) * 2023-09-27 2024-02-23 东莞市奥源电子科技有限公司 Multi-power-supply collaborative charging control method based on outdoor power-supply solar panel

Also Published As

Publication number Publication date
CN116613868B (en) 2024-01-30

Similar Documents

Publication Publication Date Title
CN103917882B (en) Accumulator state monitoring system
CN102117941B (en) Method and device for monitoring and maintaining faults of storage battery
CN116613868B (en) BMS (Battery management System) system of outdoor power supply and outdoor power supply control method
CN107453380A (en) A kind of energy storage EMS and method based on distributed AC servo system pattern
CN104333059A (en) Intelligent maintenance system and method for communication base station standby power supply
CN103675686A (en) Electric vehicle power battery charging and discharging operating condition simulation system and method
KR20150080169A (en) Method and apparatus for distributing electric power on energy storage system
CN116231795B (en) Comprehensive management control system for distributed storage battery
Rossi et al. Real-time optimization of the battery banks lifetime in hybrid residential electrical systems
CN110857962A (en) Battery performance evaluation method
CN111856309A (en) Quantitative judgment method for health state of battery
CN111130177B (en) Management method, system and device of BBU
CN110829474B (en) Method and system for supporting dynamic security of power grid by using big data intelligent energy storage
CN112865150A (en) Tunnel energy-saving power supply control method based on peak clipping and valley filling strategies
CN114725938B (en) Comprehensive energy allocation method and system for college building group based on multi-energy complementation
CN115877776A (en) Control system of emergency self-access type outdoor power supply
CN100358213C (en) Real time on line uninterrupted direct current power source
Guo The application of genetic algorithms to parameter estimation in lead-acid battery equivalent circuit models
Wang et al. Energy management of battery energy storage station considering system operation efficiency
Cui et al. Design and performance testing of lead-acid battery experimental platform in energy storage power station
CN101453127A (en) Trickle electricity charging and supplement system for lightning arrester leakage on-line monitoring system
CN201126974Y (en) Wireless power supply for zinc oxide lightning arrester leakage current monitoring system
CN108321447A (en) More scheduling batteries method and system based on state-of-charge equilibrium approximate algorithm
CN115765076B (en) System and method for simulating battery charging stop by software
US20230213593A1 (en) Supercapacitor to electrochemical hybrid system with supercapacitor testing capability

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant