Photovoltaic energy storage control system based on temperature protection

By designing a temperature protection-based control scheme in the photovoltaic energy storage control system, the battery temperature is collected in real time and automatically compensated or cut off the battery circuit, the problem that the existing system cannot control the battery temperature in real time is solved, and the safety and stability of the system are improved.

CN119864898APending Publication Date: 2025-04-22HUANENG TANGSHAN CAOFEIDIAN CLEAN ENERGY CO LTD +9
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Patent Information

Application Number
CN202411673928.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-21
Publication Date
2025-04-22

AI Technical Summary

Technical Problem

The existing photovoltaic energy storage control system cannot quickly obtain the temperature changes of the battery in real time, resulting in the inability to strictly control the operating temperature of the battery pack, reducing the safety and stability of the system. At the same time, the judgment of the temperature of the battery depends on manual labor, and the accuracy of the judgment cannot be guaranteed.

Method used

A photovoltaic energy storage control system based on temperature protection is designed. By assigning a unique identifier to each battery, the acquisition module collects the multi-point temperature around each battery in real time, acquires the charge and discharge curve and analyzes it, determines the changes in the battery operating temperature, and automatically compensates or cuts off the battery circuit based on the preset protection value and hazard value to achieve temperature protection.

Benefits of technology

Real-time and rapid control of the operating temperature of the battery pack is achieved, the safety and stability of the system is improved, the dependence of manual judgment is reduced, the accuracy of temperature judgment is ensured, and the reliability of the system is enhanced.

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Abstract

The invention provides a photovoltaic energy storage control system based on temperature protection, and belongs to the technical field of photovoltaic energy storage control, and the system comprises a distribution module which obtains the architecture of the photovoltaic energy storage control system, obtains the number and size of batteries, and distributes a unique identifier for each battery; the acquisition module is used for grouping the batteries according to the unique identifiers and acquiring the temperatures of multiple points around each group of batteries in real time; the first acquisition module is used for monitoring state information and health conditions of each group of batteries according to multi-point temperatures around each group of batteries, and acquiring a charge-discharge curve of each group of batteries; the first determination module is used for analyzing the charging and discharging curve and determining the change of the operating temperature of the battery; and the temperature protection module is used for automatically compensating the battery temperature or cutting off a battery loop according to the change of the battery operation temperature so as to realize temperature protection of the system. The problems that the temperature change of the battery cannot be rapidly obtained in real time, the photovoltaic energy storage control system is too high or too low, and the safety and stability of the system are reduced are solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic energy storage control, and in particular to a photovoltaic energy storage control system based on temperature protection. Background Art

[0002] As global climate change and energy crisis become increasingly serious, photovoltaic power generation, as an important component of clean energy, has received widespread attention.

[0003] The temperature control of traditional photovoltaic energy storage systems cannot quickly obtain the temperature changes of the battery in real time, which leads to the inability to strictly control the operating temperature of the battery pack, causing the photovoltaic energy storage control system to be too high or too low, reducing the safety and stability of the system. At the same time, the temperature of the battery needs to be judged manually, and the accuracy of the judgment cannot be guaranteed, reducing the reliability of the system.

[0004] Therefore, the present invention proposes a photovoltaic energy storage control system based on temperature protection. Summary of the invention

[0005] The present invention provides a photovoltaic energy storage control system based on temperature protection, which is used to solve the problem in the prior art that the temperature change of the battery cannot be quickly obtained in real time, resulting in the inability to strictly control the operating temperature of the battery pack, causing the photovoltaic energy storage control system to be too high or too low, thereby reducing the safety and stability of the system. At the same time, the temperature of the battery needs to be manually judged, and the accuracy of the judgment cannot be guaranteed, thereby reducing the reliability of the system.

[0006] In one aspect, the present invention provides a photovoltaic energy storage control system based on temperature protection, comprising:

[0007] Allocation module: obtaining an architecture of a photovoltaic energy storage control system, obtaining the number and size of batteries according to the architecture, and assigning a unique identifier to each battery according to the number and size;

[0008] Acquisition module: grouping the batteries according to the unique identifier based on preset rules, and collecting the multi-point temperatures around each group of batteries in real time according to the ambient temperature sensor;

[0009] The first acquisition module: monitors the status information and health status of each battery group according to the multi-point temperature around each battery group, and acquires the charge and discharge curve of each battery group according to the status information and health status of each battery group;

[0010] A first determination module: analyzing the charge and discharge curves of each battery group, and determining the change of the battery operating temperature based on the working environment and use conditions of the battery according to the analysis results;

[0011] Temperature protection module: According to the changes in battery operating temperature, based on the preset protection value and danger value, the battery temperature is automatically compensated or the battery circuit is cut off to achieve temperature protection of the photovoltaic energy storage control system.

[0012] According to a photovoltaic energy storage control system based on temperature protection provided by the present invention, after obtaining the architecture of the photovoltaic energy storage control system, obtaining the number and size of batteries according to the architecture, and before assigning a unique identifier to each battery according to the number and size, further includes:

[0013] The second determination module: determines the area of ​​the photovoltaic panel according to the architecture of the photovoltaic control system, and determines the periodic heating intensity data of the photovoltaic control system according to the area of ​​the photovoltaic panel and the position parameters of the photovoltaic panel;

[0014] Generation module: Build a regression model of the surface temperature of the photovoltaic panel based on the periodic heating intensity data, and train the regression model with meteorological data to generate a temperature prediction model of the photovoltaic panel under different meteorological conditions;

[0015] The third determination module: determines the heating variation rules of the photovoltaic panel based on the deviation of sunlight intensity under different meteorological conditions according to the temperature prediction model;

[0016] Fourth determination module: determine the standard temperature data of each area of ​​the photovoltaic panel according to the heat change rule, and determine the abnormal area and the abnormal fluctuation data of the abnormal area according to the standard temperature data and the real-time temperature data;

[0017] Analysis module: Analyze the temperature characteristics of abnormal fluctuation data and determine the boundaries of the data transition area based on the analysis results;

[0018] Matching module: matches the temperature variation threshold of the region boundary and determines the temperature dynamic fluctuation variable of the data transition region according to the matching result;

[0019] The second acquisition module: selects the abnormal dynamic transition area of ​​the photovoltaic panel according to the temperature dynamic fluctuation variable, and obtains the battery array distribution on the abnormal dynamic transition area;

[0020] Adjustment module: Determine the recommended battery specifications and models according to the battery array distribution and temperature difference status, and adjust the batteries in the abnormal dynamic transition area according to the recommended battery specifications and models.

[0021] According to the present invention, a photovoltaic energy storage control system based on temperature protection, a distribution module, includes:

[0022] The first determination unit: obtains the basic components and functional requirements of the photovoltaic energy storage control system, and determines the connection method and data exchange method between the various components based on the basic components and functional requirements;

[0023] A second determining unit: determining the architecture of the photovoltaic energy storage control system according to the connection mode and data exchange mode between the various components;

[0024] The third determination unit: determines the size and power requirements of the system according to the architecture of the photovoltaic energy storage control system, and determines the number and size of batteries according to the size and power requirements of the system;

[0025] Allocation unit: allocates a unique serial number to each battery according to the number and size of the batteries, and determines an identifier corresponding to the battery according to the serial number.

[0026] According to a photovoltaic energy storage control system based on temperature protection provided by the present invention, after the third determination unit, checking the consistency of the battery includes:

[0027] A first acquisition unit: applying a small-amplitude AC current at both ends of the battery to acquire the battery internal resistance, and determining the battery voltage based on the open-circuit voltage according to the battery internal resistance;

[0028] Fourth determination unit: obtains the current output of the battery, obtains the discharge mode of the battery according to the current output, and determines the degradation degree and self-discharge rate of the battery according to the discharge mode;

[0029] The first evaluation unit evaluates the battery according to the battery balancing technology, and obtains the balance degree of the working points between the batteries according to the evaluation results;

[0030] Inspection unit: inspects the battery status consistency according to the battery voltage, decay degree and self-discharge rate and the balance of the working points between the batteries, and determines whether to replace the battery according to the inspection result.

[0031] According to a photovoltaic energy storage control system based on temperature protection provided by the present invention, the acquisition module includes:

[0032] A grouping unit: determining a feature of each battery according to the unique identifier, and grouping the batteries according to the feature based on a preset rule;

[0033] Configuration unit: obtains the ambient temperature sensor, determines the power supply of the sensor and configures the parameters of the sensor;

[0034] Collection unit: collects the multi-point temperature around each battery group in real time based on the configured ambient temperature sensor.

[0035] According to a photovoltaic energy storage control system based on temperature protection provided by the present invention, a first acquisition module includes:

[0036] Data processing unit: performs data processing on the multi-point temperatures around each battery group and obtains processing results, wherein the data processing includes: average temperature calculation, maximum and minimum value identification and temperature gradient analysis;

[0037] Generation unit: obtains the temperature change around the battery according to the processing result and generates a corresponding timestamp;

[0038] A second evaluation unit: evaluating whether the battery is within a normal working range according to the timestamp based on the characteristics of the battery and the standards provided by the battery manufacturer, and determining the status information and health status of each battery group according to the evaluation result;

[0039] A fifth determining unit: acquiring the charging and discharging behavior of each group of batteries according to the state information and health status of each group of batteries, and determining the charging and discharging curve of each group of batteries according to the charging and discharging behavior.

[0040] According to a photovoltaic energy storage control system based on temperature protection provided by the present invention, the first determination module includes:

[0041] A second acquisition unit: analyzing the charge and discharge curves of each battery group to acquire key parameters related to the battery;

[0042] A sixth determining unit: determining the performance of the battery at different temperatures according to the key parameters related to the battery;

[0043] A seventh determination unit: determines an optimal operating temperature during battery operation according to the performance, determines a threshold of the battery operating temperature according to the optimal operating temperature, and determines a change in the battery operating temperature according to the threshold.

[0044] According to the present invention, a photovoltaic energy storage control system based on temperature protection, a temperature protection module, includes:

[0045] An eighth determining unit: determining a temperature change trend inside the battery according to a change in the operating temperature of the battery;

[0046] Compensation unit: determining whether the battery temperature is increasing and has not reached a preset protection value according to the change trend, and automatically compensating the battery to reduce the battery temperature;

[0047] Temperature protection unit: determines that the battery temperature reaches a preset dangerous value according to the change trend, cuts off the battery circuit, and realizes temperature protection of the photovoltaic energy storage control system.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] By grouping the batteries and collecting the multi-point temperatures around each group of batteries in real time, the charge and discharge curves of each group of batteries are obtained and analyzed, the changes in the battery operating temperature are determined, and the batteries are temperature protected based on preset protection values ​​and danger values. The temperature changes of the batteries can be quickly obtained in real time, resulting in strict control of the operating temperature of the battery group, avoiding the photovoltaic energy storage control system from being too high or too low, improving the safety and stability of the system, and at the same time, there is no need for manual judgment of the battery temperature, which ensures the accuracy of the judgment and enhances the reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 is a schematic structural diagram of a photovoltaic energy storage control system based on temperature protection provided by an embodiment of the present invention;

[0052] Figure 2 It is a structural diagram of a collection module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] The embodiment of the present invention provides a photovoltaic energy storage control system based on temperature protection, such as Figure 1 As shown, the system mainly includes the following modules:

[0056] Allocation module: obtaining an architecture of a photovoltaic energy storage control system, obtaining the number and size of batteries according to the architecture, and assigning a unique identifier to each battery according to the number and size;

[0057] Acquisition module: grouping the batteries according to the unique identifier based on preset rules, and collecting the multi-point temperatures around each group of batteries in real time according to the ambient temperature sensor;

[0058] The first acquisition module: monitors the status information and health status of each battery group according to the multi-point temperature around each battery group, and acquires the charge and discharge curve of each battery group according to the status information and health status of each battery group;

[0059] A first determination module: analyzing the charge and discharge curves of each battery group, and determining the change of the battery operating temperature based on the working environment and use conditions of the battery according to the analysis results;

[0060] Temperature protection module: According to the changes in battery operating temperature, based on the preset protection value and danger value, the battery temperature is automatically compensated or the battery circuit is cut off to achieve temperature protection of the photovoltaic energy storage control system.

[0061] In this embodiment, the architecture of the photovoltaic energy storage control system includes:

[0062] Hardware layer: The hardware layer mainly includes photovoltaic power generation components, battery packs, inverters and other equipment.

[0063] Software layer: The software layer is mainly responsible for the intelligent management and monitoring of the entire photovoltaic energy storage control system, real-time monitoring of the operating status of each device, such as voltage, current, power and other parameters, and calculation of key parameters such as maximum power point and reactive power point based on monitoring data.

[0064] Application layer: The application layer is mainly responsible for the interaction with the user interface and upper-layer applications. Users can intuitively view the real-time data, historical data, and alarm information of the photovoltaic power generation system through mobile phone apps and computer desktops.

[0065] In this embodiment, the unique identifier generally refers to a battery number or battery label, which has a unique number or code. For example, the Tesla battery number used in some electric vehicles is composed of a vehicle identification code prefix plus a set of random numbers.

[0066] In this embodiment, the preset rule may be to group the batteries according to the battery type, charging state, discharge depth, and production date.

[0067] In this embodiment, the multi-point temperatures around the battery refer to the temperature distribution at different locations in the battery pack.

[0068] In this embodiment, the battery status information refers to various data and indicators describing the working status or performance parameters of the battery, such as battery voltage, battery current, and battery resistance.

[0069] In this embodiment, the health status of the battery refers to a comprehensive evaluation of the performance and reliability of the battery during normal use.

[0070] In this embodiment, the charging curve of the battery describes the relationship between the battery voltage and time during the charging process of the battery, and the discharging curve describes the relationship between the battery voltage and time during the discharging process of the battery.

[0071] In this embodiment, the working environment of the battery refers to various conditions in which the battery is in use, such as humidity, temperature, and vibration.

[0072] In this embodiment, the battery usage conditions refer to the specific conditions required for the battery during normal use. For example, the battery's operating temperature range is relatively narrow, generally between 0 degrees Celsius and 45 degrees Celsius. If the battery operates outside this temperature range, it may cause battery performance to deteriorate or its life to be shortened.

[0073] The beneficial effects of the above technical solution are: by grouping the batteries and collecting the multi-point temperatures around each group of batteries in real time, obtaining the charge and discharge curves of each group of batteries and analyzing them, determining the changes in the battery operating temperature, and performing temperature protection on the batteries based on preset protection values ​​and danger values, the temperature changes of the batteries can be quickly obtained in real time, thereby strictly controlling the operating temperature of the battery group, avoiding the photovoltaic energy storage control system from being too high or too low, and improving the safety and stability of the system. At the same time, there is no need for manual judgment of the battery temperature, which ensures the accuracy of the judgment and enhances the reliability of the system.

[0074] Embodiment 2:

[0075] Based on Example 1, after acquiring the architecture of the photovoltaic energy storage control system, the embodiment of the present invention acquires the number and size of batteries according to the architecture, and before assigning a unique identifier to each battery according to the number and size, further includes:

[0076] The second determination module: determines the area of ​​the photovoltaic panel according to the architecture of the photovoltaic control system, and determines the periodic heating intensity data of the photovoltaic control system according to the area of ​​the photovoltaic panel and the position parameters of the photovoltaic panel;

[0077] Generation module: Build a regression model of the surface temperature of the photovoltaic panel based on the periodic heating intensity data, and train the regression model with meteorological data to generate a temperature prediction model of the photovoltaic panel under different meteorological conditions;

[0078] The third determination module: determines the heating variation rules of the photovoltaic panel based on the deviation of sunlight intensity under different meteorological conditions according to the temperature prediction model;

[0079] Fourth determination module: determine the standard temperature data of each area of ​​the photovoltaic panel according to the heat change rule, and determine the abnormal area and the abnormal fluctuation data of the abnormal area according to the standard temperature data and the real-time temperature data;

[0080] Analysis module: Analyze the temperature characteristics of abnormal fluctuation data and determine the boundaries of the data transition area based on the analysis results;

[0081] Matching module: matches the temperature variation threshold of the region boundary and determines the temperature dynamic fluctuation variable of the data transition region according to the matching result;

[0082] The second acquisition module: selects the abnormal dynamic transition area of ​​the photovoltaic panel according to the temperature dynamic fluctuation variable, and obtains the battery array distribution on the abnormal dynamic transition area;

[0083] Adjustment module: Determine the recommended battery specifications and models according to the battery array distribution and temperature difference status, and adjust the batteries in the abnormal dynamic transition area according to the recommended battery specifications and models.

[0084] In this embodiment, the location parameters of the photovoltaic panel refer to relevant parameters describing the installation location of the photovoltaic panel, such as latitude, inclination, orientation, and altitude.

[0085] In this embodiment, the periodic heating intensity data of the photovoltaic control system refers to the heating intensity data collected at different time points.

[0086] In this embodiment, the regression model of the photovoltaic panel surface temperature is a mathematical model for predicting the change of the photovoltaic panel surface temperature based on historical data, and is mainly used to study the surface temperature change law of photovoltaic components under different weather conditions.

[0087] In this embodiment, the temperature prediction model is a machine learning algorithm used to predict the temperature change trend of a given area in the future.

[0088] In this embodiment, the sunlight intensity deviation refers to the difference between the actually measured sunlight intensity and the ideal value.

[0089] In this embodiment, the heat change rule of the photovoltaic panel may be:

[0090] The relationship between photovoltaic panel temperature and light intensity: when the light intensity increases, the temperature of the photovoltaic panel will increase, and when the light intensity decreases, the temperature of the photovoltaic panel will also decrease.

[0091] The relationship between the temperature of the photovoltaic panel and the ambient temperature: The temperature of the photovoltaic panel will be affected by the ambient temperature. Generally speaking, when the ambient temperature is high, the temperature of the photovoltaic panel will increase accordingly, and when the ambient temperature is low, the temperature of the photovoltaic panel will decrease accordingly.

[0092] The relationship between photovoltaic panel temperature and battery conversion efficiency: If the temperature of the photovoltaic panel is too high or too low, it may affect the conversion efficiency of the battery. The conversion efficiency of the battery will be highest within a certain temperature range. Exceeding or falling below this range will cause the conversion efficiency of the battery to decrease.

[0093] In this embodiment, the temperature characteristic abnormality refers to the phenomenon that under normal circumstances, the temperature variation pattern of the photovoltaic panel becomes abnormal.

[0094] In this embodiment, the data transition region boundary refers to a point in the time series data where the data value suddenly jumps or changes.

[0095] In this embodiment, the temperature change threshold refers to a threshold range set when the temperature changes abnormally within a certain period of time.

[0096] In this embodiment, the temperature dynamic fluctuation variable refers to the speed and amplitude of the temperature change over time within a specific time range.

[0097] In this embodiment, the abnormal dynamic transition region refers to a region where a physical quantity or environmental index undergoes a significant change due to temperature within a certain period of time.

[0098] In this embodiment, battery array distribution refers to arranging multiple batteries in space according to a certain rule and method to form an organized battery group.

[0099] The beneficial effect of the above technical solution is: by adjusting the batteries in the abnormal dynamic transition area according to the recommended solution of battery specifications and models, the use pressure of these batteries can be reduced, and the voltage distribution in the battery pack can be more uniform, thereby improving the performance of the battery pack and extending the service life of the battery, and reducing the frequency of battery replacement.

[0100] Embodiment 3:

[0101] Based on the second embodiment, the allocation module of the embodiment of the present invention includes:

[0102] The first determination unit: obtains the basic components and functional requirements of the photovoltaic energy storage control system, and determines the connection method and data exchange method between the various components based on the basic components and functional requirements;

[0103] A second determining unit: determining the architecture of the photovoltaic energy storage control system according to the connection mode and data exchange mode between the various components;

[0104] The third determination unit: determines the size and power requirements of the system according to the architecture of the photovoltaic energy storage control system, and determines the number and size of batteries according to the size and power requirements of the system;

[0105] Allocation unit: allocates a unique serial number to each battery according to the number and size of the batteries, and determines an identifier corresponding to the battery according to the serial number.

[0106] In this embodiment, the basic components of the photovoltaic energy storage control system include: a photovoltaic module controller, an inverter, an energy storage system, and a power grid monitoring and protection device.

[0107] In this embodiment, the functional requirements of the photovoltaic energy storage control system include:

[0108] Maximum Power Point Tracking: Automatically adjusts the output power of PV panels according to sunlight conditions to achieve maximum energy collection and save energy.

[0109] Charge and discharge management: It can automatically manage the charge and discharge of the photovoltaic energy storage system according to the changes in power load to ensure stable operation of the system.

[0110] Load side interface compatibility: Able to support connection with various load side power supplies.

[0111] In this embodiment, the connection mode between the components can be: series connection or parallel connection.

[0112] In this embodiment, the data exchange modes include: wired communication, wireless communication, and optical fiber communication.

[0113] In this embodiment, the power requirements of the system include: load requirements and energy management requirements.

[0114] The beneficial effects of the above technical solution are: the size and power requirements of the system are determined according to the architecture of the photovoltaic energy storage control system, thereby determining the number and size of the batteries, which can meet the performance requirements of the system and improve the adaptability of the batteries. Furthermore, a unique serial number is assigned to each battery to facilitate the location of the battery, query the battery status, and ensure the safety of the battery.

[0115] Embodiment 4:

[0116] Based on the third embodiment, after the third determination unit in the embodiment of the present invention, checking the consistency of the battery includes:

[0117] A first acquisition unit: applying a small-amplitude AC current at both ends of the battery to acquire the battery internal resistance, and determining the battery voltage based on the open-circuit voltage according to the battery internal resistance;

[0118] Fourth determination unit: obtains the current output of the battery, obtains the discharge mode of the battery according to the current output, and determines the degradation degree and self-discharge rate of the battery according to the discharge mode;

[0119] The first evaluation unit evaluates the battery according to the battery balancing technology, and obtains the balance degree of the working points between the batteries according to the evaluation results;

[0120] Inspection unit: inspects the battery status consistency according to the battery voltage, decay degree and self-discharge rate and the balance of the working points between the batteries, and determines whether to replace the battery according to the inspection result.

[0121] In this embodiment, the small-amplitude alternating current refers to a current whose magnitude and frequency are within the range recognizable by the human eye.

[0122] In this embodiment, the open circuit voltage refers to the voltage when there is no load in the circuit, that is, the voltage measured when there is no resistance or capacitance in the circuit.

[0123] In this embodiment, the current output of the battery refers to the maximum current value that the battery can output.

[0124] In this embodiment, the discharge mode of the battery can be divided into constant current discharge, constant voltage discharge and constant resistance discharge.

[0125] In this embodiment, the battery degradation degree refers to the degradation of the battery storage capacity, which is usually measured by indicators such as battery capacity decay, internal resistance increase, and cycle life reduction.

[0126] In this embodiment, the self-discharge efficiency refers to the speed of internal loss naturally generated by chemical reactions during the storage of the battery.

[0127] In this embodiment, the battery balancing technology is a method for managing the difference in power distribution between the battery cells in the battery pack to ensure the optimization of the overall performance of the battery pack.

[0128] In this embodiment, the working point balance between batteries refers to whether the working states of the batteries in a group of batteries are similar or consistent, that is, the working points of all batteries are on the same horizontal line.

[0129] The beneficial effects of the above technical solution are: checking the battery status consistency based on the battery voltage, degree of degradation and self-discharge rate as well as the balance of the working points between the batteries, being able to detect battery problems in a timely manner, avoiding greater equipment damage or other safety problems caused by battery problems, and ensuring the safety and reliability of the system.

[0130] Embodiment 5:

[0131] Based on Example 4, the acquisition module of the embodiment of the present invention is as follows: Figure 2 As shown, including:

[0132] A grouping unit: determining a feature of each battery according to the unique identifier, and grouping the batteries according to the feature based on a preset rule;

[0133] Configuration unit: obtains the ambient temperature sensor, determines the power supply of the sensor and configures the parameters of the sensor;

[0134] Collection unit: collects the multi-point temperature around each battery group in real time based on the configured ambient temperature sensor.

[0135] In this embodiment, the characteristics of the battery include: model, energy storage capacity, and output current capacity.

[0136] In this embodiment, the preset rule may be to group the batteries according to the battery type, charging state, discharge depth, and production date.

[0137] In this embodiment, the sensor is a device used to detect and measure physical quantities and convert this information into signals that can be understood by people. The power supply of the sensor includes:

[0138] Internal battery: Many sensors have internal batteries that allow them to operate independently and for a period of time without external power

[0139] Direct power supply: Some sensors can obtain the required energy directly from their working environment, such as using solar panels to power the sensors, or utilizing wireless energy such as electromagnetic waves and radio waves in the surrounding environment.

[0140] Charging via wired connection: This type of sensor needs to be charged by connecting to a power cord or other external power source.

[0141] In this embodiment, the sensor parameter configuration refers to the process of adjusting the working state of the sensor according to the performance characteristics and working environment of the sensor to obtain better detection results. The parameter configuration includes: the accuracy, response time and measurement range of the sensor.

[0142] In this embodiment, the multi-point temperatures around the battery refer to the temperature distribution at different locations in the battery pack.

[0143] The beneficial effect of the above technical solution is: the batteries are grouped according to preset rules, and the sensors with configured parameters collect the multi-point temperatures around the batteries in real time, which can ensure the accuracy and comprehensiveness of the collected data and ensure that the temperature of each group of batteries can be effectively collected.

[0144] Embodiment 6:

[0145] Based on Example 5, the first acquisition module of this embodiment of the present invention includes:

[0146] Data processing unit: performs data processing on the multi-point temperatures around each battery group and obtains processing results, wherein the data processing includes: average temperature calculation, maximum and minimum value identification and temperature gradient analysis;

[0147] Generation unit: obtains the temperature change around the battery according to the processing result and generates a corresponding timestamp;

[0148] A second evaluation unit: evaluating whether the battery is within a normal working range according to the timestamp based on the characteristics of the battery and the standards provided by the battery manufacturer, and determining the status information and health status of each battery group according to the evaluation result;

[0149] A fifth determining unit: acquiring the charging and discharging behavior of each group of batteries according to the state information and health status of each group of batteries, and determining the charging and discharging curve of each group of batteries according to the charging and discharging behavior.

[0150] In this embodiment, data processing includes: average temperature calculation, maximum and minimum value identification, and temperature gradient analysis.

[0151] In this embodiment, the timestamp is a digital coding format representing date and time, and is used to record an identification point on the time axis where an event occurs.

[0152] In this embodiment, the battery characteristics include: internal resistance, operating temperature range, self-discharge, and floating state.

[0153] In this embodiment, the battery status information refers to various data and indicators describing the working status or performance parameters of the battery, such as battery voltage, battery current, and battery resistance.

[0154] In this embodiment, the health status of the battery refers to a comprehensive evaluation of the performance and reliability of the battery during normal use.

[0155] In this embodiment, the charging curve of the battery describes the relationship between the battery voltage and time during the charging process of the battery, and the discharging curve describes the relationship between the battery voltage and time during the discharging process of the battery.

[0156] The beneficial effects of the above technical solution are: data processing of multi-point temperatures around each group of batteries, acquisition of temperature changes around the batteries, and generation of corresponding timestamps can timely discover risks that the batteries may face, and timely adjust the battery usage or insulation measures to avoid battery damage. Furthermore, the status information and health status of each group of batteries are determined, and charge and discharge curves are generated, which can more accurately evaluate the health status of the batteries, and better schedule and manage the batteries to improve the energy utilization of the batteries and extend the battery life.

[0157] Embodiment 7:

[0158] Based on Example 6, the first determination module in this embodiment of the present invention includes:

[0159] A second acquisition unit: analyzing the charge and discharge curves of each battery group to acquire key parameters related to the battery;

[0160] A sixth determining unit: determining the performance of the battery at different temperatures according to the key parameters related to the battery;

[0161] A seventh determination unit: determines an optimal operating temperature during battery operation according to the performance, determines a threshold of the battery operating temperature according to the optimal operating temperature, and determines a change in the battery operating temperature according to the threshold.

[0162] In this embodiment, key parameters related to the battery include: current density and voltage level.

[0163] In this embodiment, the performance of the battery refers to the ability of the battery to work stably under certain conditions.

[0164] In this embodiment, the optimal operating temperature of the battery refers to an operating temperature that achieves a balance between battery performance and safety.

[0165] The beneficial effects of the above technical solution are: obtaining key parameters related to the battery according to the battery's charge and discharge curve, so as to determine the performance of the battery at different temperatures and the optimal operating temperature, which helps to prevent the battery from being damaged or burned due to excessively high or low temperatures. At the same time, it can effectively reduce the heat loss of the battery and improve the energy utilization of the battery.

[0166] Embodiment 8:

[0167] Based on Example 7, the temperature protection module of the embodiment of the present invention includes:

[0168] An eighth determining unit: determining a temperature change trend inside the battery according to a change in the operating temperature of the battery;

[0169] Compensation unit: determining whether the battery temperature is increasing and has not reached a preset protection value according to the change trend, and automatically compensating the battery to reduce the battery temperature;

[0170] Temperature protection unit: determines that the battery temperature reaches a preset dangerous value according to the change trend, cuts off the battery circuit, and realizes temperature protection of the photovoltaic energy storage control system.

[0171] In this embodiment, the temperature variation trend inside the battery is the heat generated during the chemical reaction and the heat loss during the electron migration process. The temperature inside the battery will change to a certain extent during the charging and discharging process of the battery.

[0172] In this embodiment, the automatic compensation may be: reducing the battery charging rate or lowering the load.

[0173] In this embodiment, cutting off the battery circuit refers to disconnecting or isolating the battery circuit so that it can no longer supply power.

[0174] The beneficial effect of the above technical solution is: based on the preset protection value and the preset danger value through the internal temperature change trend of the battery, the battery is automatically compensated or the battery circuit is cut off, which can avoid battery overheating, overcharging or over-discharging, extend the battery life, and ensure the safety of the system.

[0175] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A photovoltaic energy storage control system based on temperature protection, characterized in that: include: Allocation module: obtaining an architecture of a photovoltaic energy storage control system, obtaining the number and size of batteries according to the architecture, and assigning a unique identifier to each battery according to the number and size; Acquisition module: grouping the batteries according to the unique identifier based on preset rules, and collecting the multi-point temperatures around each group of batteries in real time according to the ambient temperature sensor; The first acquisition module: monitors the status information and health status of each battery group according to the multi-point temperature around each battery group, and acquires the charge and discharge curve of each battery group according to the status information and health status of each battery group; A first determination module: analyzing the charge and discharge curves of each battery group, and determining the change of the battery operating temperature based on the working environment and use conditions of the battery according to the analysis results; Temperature protection module: According to the changes in battery operating temperature, based on the preset protection value and danger value, the battery temperature is automatically compensated or the battery circuit is cut off to achieve temperature protection of the photovoltaic energy storage control system.

2. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: After obtaining the architecture of the photovoltaic energy storage control system, before obtaining the number and size of batteries according to the architecture and assigning a unique identifier to each battery according to the number and size, the method further includes: The second determination module: determines the area of ​​the photovoltaic panel according to the architecture of the photovoltaic control system, and determines the periodic heating intensity data of the photovoltaic control system according to the area of ​​the photovoltaic panel and the position parameters of the photovoltaic panel; Generation module: Build a regression model of the surface temperature of the photovoltaic panel based on the periodic heating intensity data, and train the regression model with meteorological data to generate a temperature prediction model of the photovoltaic panel under different meteorological conditions; The third determination module: determines the heating variation rules of the photovoltaic panel based on the deviation of sunlight intensity under different meteorological conditions according to the temperature prediction model; Fourth determination module: determine the standard temperature data of each area of ​​the photovoltaic panel according to the heat change rule, and determine the abnormal area and the abnormal fluctuation data of the abnormal area according to the standard temperature data and the real-time temperature data; Analysis module: Analyze the temperature characteristics of abnormal fluctuation data and determine the boundaries of the data transition area based on the analysis results; Matching module: matches the temperature variation threshold of the region boundary and determines the temperature dynamic fluctuation variable of the data transition region according to the matching result; The second acquisition module: selects the abnormal dynamic transition area of ​​the photovoltaic panel according to the temperature dynamic fluctuation variable, and obtains the battery array distribution on the abnormal dynamic transition area; Adjustment module: Determine the recommended battery specifications and models according to the battery array distribution and temperature difference status, and adjust the batteries in the abnormal dynamic transition area according to the recommended battery specifications and models.

3. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: Distribution module, including: The first determination unit: obtains the basic components and functional requirements of the photovoltaic energy storage control system, and determines the connection method and data exchange method between the various components based on the basic components and functional requirements; A second determining unit: determining the architecture of the photovoltaic energy storage control system according to the connection mode and data exchange mode between the various components; The third determination unit: determines the size and power requirements of the system according to the architecture of the photovoltaic energy storage control system, and determines the number and size of batteries according to the size and power requirements of the system; Allocation unit: allocates a unique serial number to each battery according to the number and size of the batteries, and determines an identifier corresponding to the battery according to the serial number.

4. The photovoltaic energy storage control system based on temperature protection according to claim 2 is characterized in that: After the third unit is determined, check the consistency of the battery, including: A first acquisition unit: applying a small-amplitude AC current at both ends of the battery to acquire the battery internal resistance, and determining the battery voltage based on the open-circuit voltage according to the battery internal resistance; Fourth determination unit: obtains the current output of the battery, obtains the discharge mode of the battery according to the current output, and determines the degradation degree and self-discharge rate of the battery according to the discharge mode; The first evaluation unit evaluates the battery according to the battery balancing technology, and obtains the balance degree of the working points between the batteries according to the evaluation results; Inspection unit: inspects the battery status consistency according to the battery voltage, decay degree and self-discharge rate and the balance of the working points between the batteries, and determines whether to replace the battery according to the inspection result.

5. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: Acquisition module, including: A grouping unit: determining a feature of each battery according to the unique identifier, and grouping the batteries according to the feature based on a preset rule; Configuration unit: obtains the ambient temperature sensor, determines the power supply of the sensor and configures the parameters of the sensor; Collection unit: collects the multi-point temperature around each battery group in real time based on the configured ambient temperature sensor.

6. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: The first acquisition module includes: Data processing unit: performs data processing on the multi-point temperatures around each battery group and obtains processing results, wherein the data processing includes: average temperature calculation, maximum and minimum value identification and temperature gradient analysis; Generation unit: obtains the temperature change around the battery according to the processing result and generates a corresponding timestamp; A second evaluation unit: evaluating whether the battery is within a normal working range according to the timestamp based on the characteristics of the battery and the standards provided by the battery manufacturer, and determining the status information and health status of each battery group according to the evaluation result; A fifth determining unit: acquiring the charging and discharging behavior of each group of batteries according to the state information and health status of each group of batteries, and determining the charging and discharging curve of each group of batteries according to the charging and discharging behavior.

7. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: The first determination module includes: A second acquisition unit: analyzing the charge and discharge curves of each battery group to acquire key parameters related to the battery; A sixth determining unit: determining the performance of the battery at different temperatures according to the key parameters related to the battery; A seventh determination unit: determines an optimal operating temperature during battery operation according to the performance, determines a threshold of the battery operating temperature according to the optimal operating temperature, and determines a change in the battery operating temperature according to the threshold.

8. The photovoltaic energy storage control system based on temperature protection according to claim 1 is characterized in that: Temperature protection module, including: An eighth determining unit: determining a temperature change trend inside the battery according to a change in the operating temperature of the battery; Compensation unit: determining whether the battery temperature is increasing and has not reached a preset protection value according to the change trend, and automatically compensating the battery to reduce the battery temperature; Temperature protection unit: determines that the battery temperature reaches a preset dangerous value according to the change trend, cuts off the battery circuit, and realizes temperature protection of the photovoltaic energy storage control system.