CN116826984A - Wireless communication energy storage system - Google Patents
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- 238000004146 energy storage Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 claims abstract description 53
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- 238000004364 calculation method Methods 0.000 claims abstract description 23
- 230000010354 integration Effects 0.000 claims abstract description 22
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Classifications
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- 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
- H02J15/00—Systems for storing electric energy
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/371—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- 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
- H02J7/007182—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery voltage
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- 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
- H02J7/007188—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters
- H02J7/007192—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature
- H02J7/007194—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature of the battery
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- 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
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- 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
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- Physics & Mathematics (AREA)
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a wireless communication energy storage system, which adopts circuit connection to store electric power and energy, and adopts wireless communication among all elements of the system, comprising: a battery cell; the battery module is formed by combining a plurality of groups of battery cores in series and parallel; the battery module also comprises a module battery management system for monitoring the running condition of the battery cell; the battery cluster is used for carrying a plurality of series modules and battery protection units; the energy storage module is provided with a plurality of parallel battery clusters and a safety unit; and the direct current generated by the battery is processed by the power conversion system. The invention adopts an ampere-hour integration method to estimate the initial charge state of the battery, the ampere-hour integration method is used for real-time estimation, and a relevant correction factor is added in an arithmetic formula to improve the calculation accuracy, and meanwhile, the interaction between the energy storage system and the cloud is realized by adopting a wireless communication mode, so that the energy consumption of wired transmission is avoided.
Description
Technical Field
The invention belongs to the field of energy storage systems, and particularly relates to a wireless communication energy storage system.
Background
The battery energy storage technology is rapidly developed as a renewable direct current power supply technology. The battery energy storage system is a power generation system which stores electric energy of a power grid in a chemical energy mode by utilizing the electric energy storage function of a storage battery and is electrically connected with a public power grid. The battery energy storage system can be connected with the public power grid in an alternating current mode or a direct current mode. The direct current power distribution network is connected to the direct current power distribution network in a direct current mode, so that the direct current power distribution network has higher energy efficiency, and the direct current mode is increasingly valued.
Because the direct current power grid is not fully popularized at the present stage, the mature product types of the battery energy storage grid-connected device are not complete, most of the product types need to be customized, the cost is high, and meanwhile, the battery energy storage system is generally composed of a plurality of groups of storage battery packs, and the system power is high so as to achieve the peak clipping and valley filling functions of the system. Therefore, the centralized grid-connection mode in the distributed battery energy storage multi-acquisition user of the direct current grid connection at present is used for saving the cost of the grid-connection device, but the number of storage battery packs is large, so that the occupied area of the battery energy storage system is large. Taking a cabinet type battery energy storage system as an example, a storage battery pack is usually placed in a storage battery cabinet, is converged through a convergence box, is led into a converter device placed in a direct current power distribution room through a cable for grid connection, then is connected into the direct current power distribution cabinet through a direct current metering cabinet, and is convenient to install, easy to realize and widely used at the present stage;
however, in the prior art, as the system operation time extends, the battery management system built in the energy storage system gradually accumulates errors generated before, so as to affect the prediction result of the state of charge, and thus effective power management cannot be achieved, and therefore, we propose a wireless communication energy storage system.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a wireless communication energy storage system which adopts an ampere-hour integration method to estimate the initial charge state of a battery, wherein the ampere-hour integration method is used for real-time estimation, and a relevant correction factor is added in an arithmetic formula to improve the calculation accuracy.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a wireless communication energy storage system, the system employing a circuit connection for storing electrical power, the system employing wireless communication between elements, comprising:
the battery cell is used for converting chemical energy into electric energy;
the battery module is formed by combining a plurality of groups of battery cores in series and parallel; the battery module also comprises a module battery management system for monitoring the running condition of the battery cell;
the battery cluster is used for carrying a plurality of series modules and a battery protection unit, the battery protection unit specifically adopts a battery cluster controller, and the battery protection unit comprises a battery cluster battery management system for monitoring the voltage, the temperature and the charging state of a battery; the battery protection unit is also used for adjusting the charge and discharge period of the battery;
the energy storage module is provided with a plurality of parallel battery clusters and a safety unit, and the safety unit is used for managing the internal environment of the container;
further comprises:
the power conversion system is used for converting direct current generated by the battery into alternating current after the direct current is processed by the power conversion system, and transmitting the alternating current to facilities or end users; the system is also used for extracting electric power from the power grid to charge the battery.
Preferably, the power conversion system is built in:
the bridge type conversion module is used for converting alternating current electric energy into direct current electric energy so as to store the direct current electric energy into the battery cluster or converting electric energy output by the battery cluster into alternating current electric energy and integrating the alternating current electric energy into a power grid; the bridge type current conversion module is provided with an alternating current side and a direct current side, and the direct current side is used for connecting a battery cluster;
the battery cluster monitoring management module is connected to the battery clusters, and is used for monitoring the voltage and the temperature of the battery clusters and balancing the electric quantity of each battery module in the battery clusters in response to the balancing control signal;
the controller is connected with the control ends of the bridge type current transformation module and the battery cluster monitoring management module, and is capable of receiving the voltage and temperature information of the battery cluster monitored by the battery cluster monitoring management module and controlling the bridge type current transformation module and the battery cluster monitoring management module.
Preferably, the power conversion system further includes:
and the control unit is used for carrying out data interaction with the controller to acquire data, the data at least comprise the SOC data and the voltage data of the charge quantity of the connected battery cluster, and the controller in each subsystem controls the bridge type converter module in each subsystem according to the control command of the control unit so as to control the working state of the battery module in the battery cluster.
Preferably, the security unit includes:
the cloud monitoring system comprises an acquisition terminal, a cloud server and a monitoring terminal;
the acquisition terminal acquires battery information and performs preprocessing, the battery information is sent to the cloud server, the cloud server stores and diagnoses the data, a diagnosis result is generated, and the diagnosis result and the data are sent to the monitoring terminal for display and early warning;
the acquisition terminal comprises a main control unit, an acquisition unit and a processing unit, wherein the main control unit is connected with the acquisition unit and the processing unit, the main control unit is used for sending control signals, the acquisition unit acquires battery information and sends the battery information to the processing unit, the processing unit performs preprocessing on data, reduces the data volume and sends the preprocessed data to the cloud server;
preferably, the cloud server includes a calculation unit and a database, the calculation unit calculates data, compares a calculation result with a threshold value in the database, generates diagnosis information, and sends the diagnosis information and the data to the monitoring terminal, and the database stores the threshold value, the diagnosis information and the monitoring data;
the monitoring terminal is used for displaying monitoring and diagnosis information and carrying out early warning according to diagnosis confidence.
Preferably, the computing unit is configured to determine, based on a program power consumption criterion, whether energy consumption of each of the application programs is within a normal consumption range; if yes, accumulating the total energy consumption of each application program, and comparing the total energy consumption with the total energy consumption of the battery module to obtain first loss information of the battery module; otherwise, determining that the battery module is in an abnormal loss state, simultaneously, counting an abnormal loss curve of the battery module, and acquiring second loss information of the battery module according to a counting result and the total consumption energy; and transmitting the acquired first loss information and second loss information to the monitoring terminal for display.
Preferably, the battery cluster monitoring management module is internally provided with a state evaluation unit, and the state evaluation unit utilizes an ampere-hour integration method formula to complete the prediction work of the state of charge according to the related parameters of the internal resistance, the open-circuit voltage, the temperature and the current of the battery.
Preferably, the state evaluation unit calculates the total electric quantity flowing into and out of the battery by integrating the time and the current and adding a compensation coefficient according to the characteristic current, time and temperature compensation outside the battery cluster, so as to estimate the state of charge of the battery; the calculation formula of the ampere-hour integration method is as follows:
in SOC 0 Is the initial electrical quantity value of the battery state of charge; c (C) E Is the rated capacity of the battery; i (t) is the charge and discharge current of the battery at the moment t; t is the charge and discharge time; η is a charge-discharge efficiency coefficient, also called coulomb efficiency coefficient, and represents the dissipation of electric quantity in the battery during the charge-discharge process, and mainly comprises the multiplying power and the temperature correction coefficient of charge-discharge.
Preferably, the battery cluster monitoring management module can balance, weaken or eliminate the influence of inconsistency on the battery, inhibit the trend of poor consistency of the battery, prolong the discharging time of the battery, and simultaneously the state evaluation unit can monitor the temperature, prevent the battery from being damaged and prolong the service life of the battery pack.
The invention has the technical effects and advantages that: compared with the prior art, the wireless communication energy storage system provided by the invention adopts the ampere-hour integration method to estimate the initial charge state of the battery, wherein the ampere-hour integration method is used for real-time estimation, and the relevant correction factors are added in the calculation formula to improve the calculation accuracy, and meanwhile, the wireless communication mode is adopted to realize the interaction between the energy storage system and the cloud, so that the energy consumption of wired transmission is avoided;
in the invention, the battery information is collected and preprocessed through the collecting terminal and is sent to the cloud server, the cloud server stores and diagnoses the data, a diagnosis result is generated, and the diagnosis result and the data are sent to the monitoring terminal for display and early warning, so that the safety coefficient of the system is effectively increased.
Drawings
FIG. 1 is a schematic diagram of a wireless communication energy storage system according to the present invention;
FIG. 2 is a schematic diagram of a wireless communication energy storage system applied to a DC-coupled solar energy system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an embodiment of a wireless communication energy storage system applied to an ac-coupled solar energy system.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a wireless communication energy storage system, which adopts an ampere-hour integration method to estimate the initial charge state of a battery, wherein the ampere-hour integration method is used for real-time estimation, and a relevant correction factor is added in an arithmetic formula to improve the calculation accuracy;
meanwhile, the battery information is collected and preprocessed through the collection terminal and is sent to the cloud server, the cloud server stores and diagnoses the data, a diagnosis result is generated, and the diagnosis result and the data are sent to the monitoring terminal for display and early warning, so that the safety coefficient of the system is effectively increased.
The system adopts circuit connection to store electric power and energy system, adopts wireless communication between each component of system, and wherein, wireless communication adopts one of the following modes:
the digital signal transmission radio station adopts digital modulation and forward error correction functions in the process of transmitting information, has good communication compatibility, high data transmission efficiency and low use and maintenance cost, and is very suitable for being used in severe natural environments. The digital radio station adopts a long wave communication mode, so that the coverage area of the communication is relatively wide, and the digital radio station can reach tens of kilometers and even meets the free communication in urban areas. With the continuous development of electronic technology, the volume and the intelligent degree of equipment are higher and higher, and the equipment mainly comprises a data collector and a data terminal.
The bandwidth required by the spread spectrum microblog communication technology for transmitting information is far greater than the bandwidth of the information itself in the actual use process. The working principle of the technology is that after information is modulated by a spread spectrum code, the information is transmitted, and the rate of the spread spectrum code is far greater than the bandwidth of the information, so that the spread spectrum effect is achieved. The technology is firstly used in the military field, has the advantages of multimedia communication networking, high communication security, no interference among systems and relatively large information coverage area.
Wireless network bridge technology, which is a comprehensive technology, organically combines wired network bridge technology and wireless radio frequency technology, adopts wired communication technology to realize remote transmission of information, and adopts microwave communication technology to realize data communication in a local area range, so that remote and high-speed communication among a plurality of devices can be realized. Video communication often has very strict requirements on the communication transmission rate, and the requirements for communication can be met by applying the wireless bridge communication technology. If further increases in the rate of communication are desired, spread spectrum communication techniques may also be employed,
the satellite communication technology uses earth satellites transmitted by human beings as communication relay stations, and uses radio to transmit various information, so that the communication between the relay stations is effectively realized. Satellite communication systems typically consist of a satellite station and a ground station. After the information transmitted by the ground station is received by the satellite, the information is amplified and then is forwarded by changing the information transmission direction. The artificial satellites may be classified into a geosynchronous satellite and a non-geosynchronous satellite, the rotation of which keeps synchronous, and a rotation period of the non-geosynchronous satellite is not synchronous with the rotation period of the earth. The satellite communication technology has the advantages of large coverage area, high communication quality and small influence of geographical environment, and is relatively widely applied to domestic and foreign communication. However, this communication method also has some defects that the cost of communication is very high, mainly caused by the high cost of satellite transmission, and is relatively high in application in the fields of military, navigation and aviation, but is not suitable for daily communication. However, with the continuous development of technology, the loan and cost of satellite communication are also continuously reduced, and the method has very broad development prospect.
The short wave communication technology utilizes short waves for communication, and mainly because the short waves have the characteristic of high frequency, the propagation of sky waves and ground waves can be effectively realized. In the process of transmitting the sky broadcasting information, the ionosphere is utilized for transmitting the information. The world communication can directly utilize the sky wave to communicate, but if the reflection times of sky wave are too many, will cause great influence to transmission quality, and signal transmission frequency fluctuation is also great. The ground wave transmission is mainly used for short wave communication, and has low working frequency and good stability relative to the sky wave. The trunking communication technology is a new technology developed in recent years, and has higher utilization rate of frequency spectrum, relatively larger user capacity and stronger capability of resisting signal attenuation.
The wireless communication energy storage system of this embodiment includes:
the battery cell is used for converting chemical energy into electric energy;
the battery module is formed by combining a plurality of groups of battery cores in series and parallel; the battery module also comprises a module battery management system for monitoring the running condition of the battery cell;
the battery protection unit specifically adopts a battery cluster controller, and comprises a battery cluster battery management system for monitoring the voltage, the temperature and the charging state of a battery; the battery protection unit is also used for adjusting the charge and discharge period of the battery;
the energy storage module is provided with a plurality of parallel battery clusters and a safety unit, and the safety unit is used for managing the internal environment of the container;
further, the security unit includes:
the cloud monitoring system comprises an acquisition terminal, a cloud server and a monitoring terminal;
the acquisition terminal acquires battery information and performs preprocessing, the battery information is sent to the cloud server, the cloud server stores and diagnoses the data, a diagnosis result is generated, and the diagnosis result and the data are sent to the monitoring terminal for display and early warning;
the acquisition terminal comprises a main control unit, an acquisition unit and a processing unit, wherein the main control unit is connected with the acquisition unit and the processing unit, the main control unit is used for sending control signals, the acquisition unit acquires battery information and sends the battery information to the processing unit, the processing unit performs preprocessing on data, reduces the data volume and sends the preprocessed data to the cloud server.
The cloud server comprises a calculation unit and a database, wherein the calculation unit calculates data, compares a calculation result with a threshold value in the database to generate diagnosis information, sends the diagnosis information and the data to the monitoring terminal, and the database stores the threshold value, the diagnosis information and the monitoring data;
the monitoring terminal is used for displaying monitoring and diagnosis information and carrying out early warning according to diagnosis confidence.
It should be noted that, the computing unit is configured to determine, based on the program power consumption criteria, whether the energy consumption of each application program is in a normal consumption range; if so, accumulating the total energy consumption of each application program, and comparing the total energy consumption with the total energy consumption of the battery module to obtain first loss information of the battery module; otherwise, determining that the battery module is in an abnormal loss state, simultaneously, counting an abnormal loss curve of the battery module, and acquiring second loss information of the battery module according to a counting result and total consumption energy; and transmitting the acquired first loss information and second loss information to a monitoring terminal for display.
Further comprises:
the power conversion system is used for converting direct current generated by the battery into alternating current through the processing of the power conversion system and transmitting the alternating current to facilities or end users; the system is also used for extracting power from the power grid to charge the battery.
As the embodiment, the power conversion system is built in:
the bridge type conversion module is used for converting alternating current electric energy into direct current electric energy to be stored in the battery cluster, or converting electric energy output by the battery cluster into alternating current electric energy and combining the alternating current electric energy with a power grid; the bridge type current conversion module is provided with an alternating current side and a direct current side, and the direct current side is used for connecting a battery cluster;
the battery cluster monitoring management module is connected to the battery clusters, and is used for monitoring the voltage and the temperature of the battery clusters and balancing the electric quantity of each battery module in the battery clusters in response to the balancing control signals; the battery cluster monitoring management module is internally provided with a state evaluation unit, and the state evaluation unit utilizes an ampere-hour integration method formula to complete the prediction work of the state of charge according to the related parameters of the internal resistance, the open-circuit voltage, the temperature and the current of the battery.
The state evaluation unit calculates the total electric quantity flowing into and out of the battery by integrating the time and the current and adding a compensation coefficient at times according to the characteristic current, the time and the temperature compensation outside the battery cluster, so as to estimate the state of charge of the battery; the calculation formula of the ampere-hour integration method is as follows:
in SOC 0 Is the initial electrical quantity value of the battery state of charge; c (C) E Is the rated capacity of the battery; i (t) is the charge and discharge current of the battery at the moment t; t is the charge and discharge time; η is a charge-discharge efficiency coefficient, also called coulomb efficiency coefficient, and represents the dissipation of electric quantity in the battery during the charge-discharge process, and mainly comprises the multiplying power and the temperature correction coefficient of charge-discharge.
By way of further illustration, the ampere-hour integration method calculates the total charge flowing into and out of the battery by integrating the time and current and sometimes adding some compensation coefficients according to some external characteristics of the system, such as current, time, temperature compensation, etc., regardless of the mechanism of action inside the battery, thereby estimating the state of charge of the battery. The ampere-hour integration method is widely applied to battery management systems at present.
The ampere-hour integration method has the advantages of being relatively less limited by the condition of the battery, being simple and reliable in calculation method and being capable of estimating the charge state of the battery in real time. The disadvantage is that the ampere-hour metering method belongs to open loop detection in control, if the current collection precision is not high, a certain error exists in a given initial state of charge, and the error generated before gradually accumulates along with the extension of the system operation time, so that the prediction result of the state of charge is influenced. And because the ampere-hour integration method only analyzes the state of charge from external characteristics, a certain error exists in the multi-loop. As can be seen from an ampere-hour integration method calculation formula, the initial electric quantity of the battery has a great influence on the accuracy of a calculation result.
In order to improve the accuracy of current measurement, high-performance current sensors are generally used to measure current, but this increases the cost. For this reason, many scholars apply an open circuit voltage method while applying an ampere-hour integration method, combining the two. The open-circuit voltage method is used for estimating the initial charge state of the battery, the ampere-hour integration method is used for real-time estimation, and relevant correction factors are added in the calculation formula to improve the calculation accuracy;
the battery cluster monitoring management module can balance, weaken or eliminate the influence of inconsistency on batteries, inhibit the trend of poor consistency of the batteries, prolong the discharging time of the batteries, and meanwhile, the state evaluation unit can monitor the temperature, prevent the batteries from being damaged and prolong the service life of the battery pack.
The controller is connected with the control ends of the bridge type current transformation module and the battery cluster monitoring management module, and can receive the voltage and temperature information of the battery cluster monitored by the battery cluster monitoring management module and control the bridge type current transformation module and the battery cluster monitoring management module.
The power conversion system further includes:
the control unit is used for carrying out data interaction with the controller to obtain data, the data at least comprise SOC data and voltage data of the charge quantity of the connected battery cluster, and the controllers in the subsystems control the bridge type converter modules in the respective subsystems according to the control command of the control unit so as to control the working state of the battery modules in the battery cluster.
As an alternative scheme of the embodiment, the battery cluster monitoring management module can also complete the prediction work of the state of charge by adopting a Kalman filtering method, the Kalman filtering algorithm is a minimum variance estimation by utilizing a time domain state space theory, belongs to the category of statistical estimation, macroscopically reduces and eliminates the influence of noise on an observation signal as much as possible, and the core is optimal estimation, namely, the effective correction of the state variable by the input quantity of the system on the basis of estimation.
The basic principle of the algorithm is as follows: and using the state space model of the noise and the signal as an algorithm model, and updating the estimation of the state variable by applying the observed value at the current moment and the estimated value at the last moment during measurement. The Kalman filtering algorithm predicts the state of charge of the battery module essentially by an ampere-hour integration method, and simultaneously corrects the value obtained by preliminary prediction by using the measured voltage value.
The Kalman filtering method has the advantages of being suitable for carrying out real-time operation processing on data by a computer, wide in application range, capable of being used for a nonlinear system and good in effect on the state of charge prediction of the electric automobile in the driving process. The Kalman filtering method has the defect of great dependence on the accuracy of a battery model, and a reliable battery model needs to be established in order to improve the accuracy and precision of the prediction result of the algorithm. In addition, the algorithm of the Kalman filtering method is relatively complex, so that the calculated amount of the Kalman filtering method is relatively large, and the calculation method has high requirements on the performance of an arithmetic unit.
When the system is applied to a direct current coupling solar energy system, as shown in fig. 2, a single inverter is utilized to supply power to a load, so that the cost is saved; the components are fewer, the cost is lower, and the maintenance requirement is also reduced; the efficiency is higher, because the electric energy is not subjected to multiple inversion, and the energy loss is less; the shorter cable between the BESS and the photovoltaic array helps to reduce losses; the inverter is not suitable for modification and needs to replace the existing inverter; in many cases, the photovoltaic array wiring needs to be reconfigured; based on the complex installation of existing photovoltaic systems.
As shown in fig. 3, the system comprises two inverters when applied to an ac-coupled solar system: a solar inverter; the bidirectional inverter is provided with the battery, so that the battery has higher flexibility and is easier to install, and is particularly suitable for refitting the grid-connected inverter which can be reserved, thereby saving the cost; the system is inefficient because the energy used by the battery is subject to multiple inversions, each stage of conversion causes more loss, and it is more cost-effective to adapt the method, but provided there is a photovoltaic system available.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.
Claims (8)
1. A wireless communication energy storage system, wherein the system employs circuit connection for storing electric power, and wireless communication is employed between each element of the system, comprising:
the battery cell is used for converting chemical energy into electric energy;
the battery module is formed by combining a plurality of groups of battery cores in series and parallel; the battery module also comprises a module battery management system for monitoring the running condition of the battery cell;
the battery cluster is used for carrying a plurality of series modules and a battery protection unit, the battery protection unit specifically adopts a battery cluster controller, and the battery protection unit comprises a battery cluster battery management system for monitoring the voltage, the temperature and the charging state of a battery; the battery protection unit is also used for adjusting the charge and discharge period of the battery;
the energy storage module is provided with a plurality of parallel battery clusters and a safety unit, and the safety unit is used for managing the internal environment of the container;
further comprises:
the power conversion system is used for converting direct current generated by the battery into alternating current after the direct current is processed by the power conversion system, and transmitting the alternating current to facilities or end users; and the power conversion system is also used for extracting power from the power grid to charge the battery.
2. The wireless communication energy storage system of claim 1, wherein: the power conversion system is built in:
the bridge type conversion module is used for converting alternating current electric energy into direct current electric energy so as to store the direct current electric energy into the battery cluster or converting electric energy output by the battery cluster into alternating current electric energy and integrating the alternating current electric energy into a power grid; the bridge type current conversion module is provided with an alternating current side and a direct current side, and the direct current side is used for connecting a battery cluster;
the battery cluster monitoring management module is connected to the battery clusters, and is used for monitoring the voltage and the temperature of the battery clusters and balancing the electric quantity of each battery module in the battery clusters in response to the balancing control signal;
and the controller is connected with the control ends of the bridge type current transformation module and the battery cluster monitoring management module, and can receive the voltage and temperature information of the battery cluster and control the bridge type current transformation module and the battery cluster monitoring management module.
3. The wireless communication energy storage system of claim 2, wherein: the power conversion system further includes:
the system comprises a control unit and a plurality of subsystems, wherein the control unit performs data interaction with controllers in the subsystems to acquire data, the data at least comprises charge quantity SOC data and voltage data of a connected battery cluster, and the controllers in the subsystems control bridge type current transformation modules in the subsystems according to control commands of the control unit so as to control the working states of the battery modules in the battery cluster.
4. The wireless communication energy storage system of claim 1, wherein: the security unit includes:
the cloud monitoring system comprises an acquisition terminal, a cloud server and a monitoring terminal;
the acquisition terminal is used for acquiring and preprocessing battery information, sending the battery information to the cloud server, storing and diagnosing data by the cloud server, generating a diagnosis result, and sending the diagnosis result and the data to the monitoring terminal for display and early warning;
the acquisition terminal comprises a main control unit, an acquisition unit and a processing unit, wherein the main control unit is connected with the acquisition unit and the processing unit, the main control unit is used for sending control signals, the acquisition unit acquires battery information and sends the battery information to the processing unit, the processing unit performs preprocessing on data, reduces the data volume and sends the preprocessed data to the cloud server.
5. The wireless communication energy storage system of claim 4, wherein: the cloud server comprises a calculation unit and a database, wherein the calculation unit calculates data, compares a calculation result with a threshold value in the database to generate diagnosis information, and sends the diagnosis information and the data to the monitoring terminal, and the database stores the threshold value, the diagnosis information and the monitoring data;
the monitoring terminal is used for displaying monitoring and diagnosis information and carrying out early warning according to diagnosis confidence.
6. The wireless communication energy storage system of claim 5, wherein: the computing unit is used for determining whether the energy consumption of each application program is in a normal consumption range or not based on a program power consumption standard; if yes, accumulating the total energy consumption of each application program, and comparing the total energy consumption with the total energy consumption of the battery module to obtain first loss information of the battery module; otherwise, determining that the battery module is in an abnormal loss state, simultaneously, counting an abnormal loss curve of the battery module, and acquiring second loss information of the battery module according to a counting result and the total consumption energy; and transmitting the acquired first loss information and second loss information to the monitoring terminal for display.
7. The wireless communication energy storage system of claim 2, wherein: the battery cluster monitoring management module is internally provided with a state evaluation unit, and the state evaluation unit utilizes an ampere-hour integration method formula to complete the prediction work of the state of charge according to the related parameters of the internal resistance, the open-circuit voltage, the temperature and the current of the battery.
8. The wireless communication energy storage system of claim 7, wherein: the state evaluation unit calculates the total electric quantity flowing into and out of the battery by integrating the time and the current and adding a compensation coefficient at some time according to the characteristic current, the time and the temperature compensation outside the battery cluster, so as to estimate the state of charge of the battery; the calculation formula of the ampere-hour integration method is as follows:
in SOC 0 Is the initial electrical quantity value of the battery state of charge; c (C) E Is the rated capacity of the battery; i (t) is the charge and discharge current of the battery at the moment t; t is the charge and discharge time; η is a charge-discharge efficiency coefficient, also called coulomb efficiency coefficient, and represents the dissipation of electric quantity in the battery during the charge-discharge process, and mainly comprises the multiplying power and the temperature correction coefficient of charge-discharge.
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| CN110783992A (en) * | 2019-11-12 | 2020-02-11 | 中国农业大学 | Battery management system for realizing wireless communication |
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