Photovoltaic storage and charging integrated power distribution method and device
By analyzing the historical load data and battery type of the energy storage module, intelligently adjusting the discharge parameters of the energy storage module, the problem that traditional distribution methods cannot effectively manage photovoltaic power generation and energy storage equipment is solved, and the effect of efficient use of energy storage resources and extending battery life is achieved.
Patent Information
- Application Number
- CN202411032840.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-30
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2044-07-30
AI Technical Summary
Traditional power distribution methods cannot fully consider the characteristics of photovoltaic power generation and the status of energy storage equipment, resulting in reduced battery life, low energy utilization efficiency, and increased maintenance costs.
By obtaining the historical load data of each energy storage module, adjusting the discharge parameters according to the battery type of the energy storage module, and controlling the operating status of the energy storage module based on these parameters to achieve optimized energy management and battery life management.
It realizes the optimal configuration and efficient utilization of energy storage resources, improves the flexibility of the system to respond to load changes, extends the service life of the energy storage module, reduces maintenance costs, and enhances the system's response speed and reliability.
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Figure CN118677082B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure belongs to the field of intelligent power distribution technology, and more specifically, relates to a photovoltaic storage and charging integrated power distribution method and device. Background Art
[0002] With the rapid development of renewable energy, photovoltaic power generation, as an important component of it, is increasingly widely used. However, photovoltaic power generation is intermittent and unstable, which poses a challenge to the stable operation of the power system. In order to solve this problem, the integrated photovoltaic storage and charging system came into being. The system integrates photovoltaic power generation, energy storage and charging functions, aiming to balance the fluctuations of photovoltaic power generation through energy storage equipment and improve the reliability and flexibility of the power system.
[0003] Traditional power distribution methods often fail to fully consider the characteristics of photovoltaic power generation and the status of energy storage equipment, resulting in reduced battery life, inefficient energy utilization, and increased maintenance costs. Summary of the invention
[0004] The purpose of the present disclosure is to provide a photovoltaic storage and charging integrated power distribution method and device to increase battery life and reduce maintenance costs.
[0005] In a first aspect of the embodiments of the present disclosure, a photovoltaic storage and charging integrated power distribution method is provided, which is applied to a photovoltaic storage and charging integrated system, characterized in that the photovoltaic storage and charging integrated system comprises a photovoltaic power generation module, a plurality of energy storage modules and a control module; each energy storage module is connected to a load and a control module;
[0006] The photovoltaic storage and charging integrated power distribution method comprises:
[0007] Acquire target data of each energy storage module, wherein the target data is historical load data of each energy storage module;
[0008] Adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module;
[0009] The working state of each energy storage module is controlled based on the discharge parameters of each energy storage module.
[0010] A second aspect of the embodiments of the present disclosure provides a photovoltaic storage and charging integrated power distribution device, comprising:
[0011] An acquisition module, used to acquire target data of each energy storage module, wherein the target data is historical load data of each energy storage module;
[0012] An adjustment module, used for adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module;
[0013] The control module is used to control the discharge parameters of each energy storage module and the working state of each energy storage module.
[0014] According to a third aspect of an embodiment of the present disclosure, a photovoltaic, storage and charging integrated system is provided, comprising a photovoltaic power generation module, a plurality of energy storage modules and a control module, wherein the control module comprises a memory, a processor and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of the photovoltaic, storage and charging integrated power distribution method are implemented.
[0015] In a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned integrated photovoltaic storage and charging distribution method are implemented.
[0016] The beneficial effects of the photovoltaic storage and charging integrated power distribution method and device provided by the embodiments of the present disclosure are:
[0017] The present disclosure achieves optimal configuration and efficient utilization of energy storage resources by accurately analyzing the historical load data of each energy storage module and intelligently adjusting the discharge parameters based on the battery type in the energy storage module. This method not only improves the flexibility of the system in responding to load changes, but also extends the service life of the energy storage module and reduces maintenance costs. At the same time, the intelligent control strategy provided by the present disclosure enhances the response speed and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0019] Figure 1 A structural block diagram of a photovoltaic storage and charging integrated system provided in one embodiment of the present disclosure;
[0020] Figure 2 A schematic diagram of a process flow of a photovoltaic storage and charging integrated power distribution method provided in an embodiment of the present disclosure;
[0021] Figure 3 A structural block diagram of a photovoltaic storage and charging integrated power distribution device provided in one embodiment of the present disclosure;
[0022] Figure 4 A schematic block diagram of a control module provided in accordance with an embodiment of the present disclosure. DETAILED DESCRIPTION
[0023] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.
[0024] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.
[0025] refer to Figure 1 and Figure 2 , Figure 1 This is a structural block diagram of an integrated photovoltaic storage and charging system provided in one embodiment of the present disclosure. The integrated photovoltaic storage and charging system includes a photovoltaic power generation module, multiple energy storage modules and a control module; each energy storage module is connected to a load and a control module. Figure 2 A schematic flow chart of a photovoltaic, storage and charging integrated power distribution method provided in one embodiment of the present disclosure, which is applied to a photovoltaic, storage and charging integrated system.
[0026] The integrated photovoltaic storage and charging distribution method includes:
[0027] S101: Acquire target data of each energy storage module, where the target data is historical load data of each energy storage module.
[0028] In this embodiment, the photovoltaic storage and charging integrated system includes multiple energy storage modules, and the target data of each energy storage module is different. The target data is the historical load data of the energy storage module, that is, the power supply of the energy storage module to the load within a certain period of time, including but not limited to the number of connections between loads with different power requirements and the energy storage module, the discharge time sequence of the energy storage module, the discharge amount, the discharge power, etc.
[0029] The collection and analysis of target data is crucial for the efficient operation of the integrated photovoltaic storage and charging system. By processing historical load data, the control module can learn the load demand pattern and predict future changes in the load, thereby intelligently dispatching the power generated by the photovoltaic power generation module and optimizing the charging and discharging strategy of the energy storage module to ensure the stability and economy of the power supply, while maximizing the use of renewable energy and reducing dependence on traditional power grids.
[0030] S102: Adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module.
[0031] In this embodiment, the battery type of the energy storage module refers to the type of battery that constitutes the energy storage module, such as lithium-ion batteries, lead-acid batteries, sodium-sulfur batteries, flow batteries, etc. Different battery types have their own characteristics and limitations. For example, lithium-ion batteries have higher energy density and longer service life, but are sensitive to temperature; while lead-acid batteries have lower costs, but have limited energy density and cycle life. The battery type determines the performance indicators of the energy storage module, such as maximum charge and discharge power, charge and discharge efficiency, state of charge (SOC) range, battery health state (SOH), etc., which will affect the discharge parameter settings of the energy storage module.
[0032] Discharge parameters refer to a series of parameters that control the discharge process of the energy storage module, mainly including discharge power, discharge current, discharge voltage, discharge termination voltage, depth of discharge (DOD), etc. Correct discharge parameter settings can ensure that the energy storage module maintains a good battery health state while meeting the load requirements, prolonging the battery life and avoiding battery damage caused by over-discharge.
[0033] In this embodiment, the system will intelligently adjust the discharge parameters of the energy storage module based on the analysis of historical load data and taking into account the characteristics of the battery type used in the energy storage module to achieve optimal energy management and battery life management. For example, if the target data indicates that there is a high load demand in a specific time period, the system may adjust the discharge power to meet this demand; at the same time, considering the characteristics of the battery type, the system will limit the depth of discharge to avoid damage to the battery and ensure that the battery operates in a safe state of charge. This strategy of dynamically adjusting discharge parameters can improve energy utilization efficiency, extend battery life, and ensure the stability and reliability of power supply.
[0034] S103: Controlling the working state of each energy storage module based on the discharge parameter of each energy storage module.
[0035] In this embodiment, the system can dynamically adjust the discharge behavior of the energy storage module according to the discharge parameters of each energy storage module. For example, when to start discharging, the power of discharge, the duration of discharge, and the degree of discharge (discharge depth), etc. In this way, the system can achieve accurate matching of power supply and demand, while protecting the battery from adverse effects such as over-discharge, ensuring its long-term stable operation.
[0036] It can be concluded from the above that the present disclosure achieves optimal configuration and efficient utilization of energy storage resources by accurately analyzing the historical load data of each energy storage module and intelligently adjusting the discharge parameters according to the battery type in the energy storage module. This method not only improves the flexibility of the system in responding to load changes, but also extends the service life of the energy storage module and reduces maintenance costs. At the same time, the intelligent control strategy provided by the present disclosure enhances the response speed and reliability of the system.
[0037] In one embodiment of the present disclosure, the historical load data includes load quantity, load power, and load connection times;
[0038] Adjust the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module, including:
[0039] In response to the battery type of the energy storage module being the first type, the discharge parameters of each energy storage module are adjusted according to the load amount; in response to the battery type of the energy storage module being the second type, the discharge parameters of each energy storage module are adjusted according to the load power; in response to the battery type of the energy storage module being the third type, the discharge parameters of each energy storage module are adjusted according to the number of load connections.
[0040] In this embodiment, the first type of battery can focus more on energy density and storage capacity, such as lithium-ion batteries. This type of battery is suitable for handling larger energy storage requirements, so when adjusting the discharge parameters, the load is given priority consideration. The system can intelligently adjust the discharge parameters based on the load recorded in the historical load data to ensure that the discharge capacity of the battery matches the current or predicted load. For example, when the load is expected to be large, the system may set a higher discharge power to quickly respond to high demand; when the load is low, the discharge power is appropriately reduced to avoid excessive discharge of the battery and extend the battery life.
[0041] The second type of battery can be more focused on power output, such as supercapacitors or certain types of lead-acid batteries. This type of battery can provide high power output for a short period of time, but the energy storage capacity is relatively limited. Therefore, when adjusting the discharge parameters, the system will optimize according to the load power. When a sudden increase in load power demand is detected, the system will quickly adjust the discharge parameters, such as increasing the discharge current or discharge voltage, to meet the instantaneous high power demand. Conversely, when the load power is low, the system will reduce the discharge parameters to prevent unnecessary battery loss.
[0042] The third type of battery focuses more on the cycle life of the battery, such as some nickel-cadmium batteries or sodium-sulfur batteries. The performance of this type of battery will gradually decline after multiple charge and discharge cycles. Therefore, when adjusting the discharge parameters, the system will consider the number of load connections, that is, the number of charge and discharge cycles of the battery. When it is detected that the load is connected many times, the system may adopt a more conservative discharge strategy, such as limiting the depth of discharge and reducing the number of discharges to slow down the aging of the battery. For the case of fewer load connections, the system may relax the discharge parameters to make full use of the battery's discharge capacity.
[0043] From the above, we can conclude that for different types of batteries, the system will adopt differentiated discharge parameter adjustment strategies to give full play to the advantages of the battery while avoiding its disadvantages. This intelligent adjustment based on battery characteristics can not only improve energy utilization efficiency, but also extend the battery life.
[0044] In one embodiment of the present disclosure, the discharge parameters include discharge time, discharge power and discharge depth;
[0045] Adjust the discharge parameters of each energy storage module according to the load, including:
[0046] Adjust the discharge time, discharge power and discharge depth of each energy storage module according to the load;
[0047] Adjust the discharge parameters of each energy storage module according to the load power, including:
[0048] Adjust the discharge time, discharge power and discharge depth of each energy storage module according to the load power;
[0049] Adjust the discharge parameters of each energy storage module according to the number of load connections, including:
[0050] The discharge time, discharge power and discharge depth of each energy storage module are adjusted according to the number of load connections.
[0051] In this embodiment, the discharge parameters include discharge time, discharge power and discharge depth. Adjusting the discharge parameters according to the load can be understood as:
[0052] When the load is high, the control module can control the energy storage module to extend the discharge time to ensure continuous and stable power supply to meet high load requirements; on the contrary, when the load is low, the discharge time can be shortened to avoid over-discharge of the battery and protect the battery health. High loads require higher discharge power, so the control module can control the energy storage module to increase the discharge power to ensure sufficient power output; while at low loads, the discharge power can be reduced to avoid wasting energy and excessive battery loss. In order to protect the battery, the control module can limit the discharge depth of the energy storage module at high loads to prevent the battery from discharging to a lower state of charge (SOC), thereby extending the battery life. At low loads, the energy storage module is controlled to slightly increase the discharge depth to make better use of the energy stored in the battery.
[0053] Adjusting the discharge parameters according to the load power can be understood as:
[0054] For high power demand, the control module can control the energy storage module to shorten the discharge time to quickly respond to instantaneous high power demand while avoiding damage to the battery due to long-term high-power discharge. Under low power demand, the discharge time is extended to smooth the power output. When the load power demand is high, the discharge power can be adjusted to ensure that the power output matches the demand. The control module can also dynamically adjust the discharge depth according to the duration and intensity of the load power to balance the power supply and battery health.
[0055] Adjusting the discharge parameters according to the number of load connections can be understood as:
[0056] For frequent load connections, the control module can control the energy storage module to shorten the discharge time, reduce the cumulative damage to the battery caused by each discharge, and extend the battery's cycle life. Under high load connection times, the control module can control the energy storage module to limit the discharge power to prevent the battery from being subjected to excessive power shocks in a short period of time and protect the battery from damage. Frequent load connections can cause the battery to charge and discharge frequently, so the control module can control the energy storage module to reduce the depth of discharge and avoid deep discharge, thereby reducing stress during the battery cycle and extending the battery life.
[0057] It can be concluded from the above that the present disclosure can intelligently adjust the discharge parameters of the energy storage module according to different load characteristics, thereby achieving efficient use of electricity and long-term maintenance of the battery.
[0058] In one embodiment of the present disclosure, adjusting the discharge depth of each energy storage module according to the number of load connections includes:
[0059] In response to the current discharge depth of the energy storage module being the first depth, determining the current discharge depth of the energy storage module to be the second depth according to the number of load connections;
[0060] The energy storage module is controlled to adjust from a first depth to a second depth; the first depth is greater than the second depth.
[0061] In this embodiment, the first depth refers to the current discharge depth of the energy storage module, that is, the lowest state of charge of the battery during the discharge process, usually expressed in percentage. The second depth is the target discharge depth calculated by the system based on the number of load connections. In order to protect the battery, this depth is usually less than the first depth.
[0062] When the control module of the system detects that the discharge depth of the current energy storage module is the first depth and the number of load connections is high, the discharge depth of the current energy storage module can be adjusted to the second depth, i.e., a shallower discharge depth, according to a preset algorithm or rule. The purpose of this adjustment is to reduce the number of deep discharges of the battery under high load connection times, thereby reducing the burden on the battery and extending the battery life.
[0063] For example, the photovoltaic storage and charging integrated system is a small charging station that contains three energy storage modules, namely module A, module B and module C. In the initial stage, the discharge depth of these three energy storage modules is 80% (first depth). At a certain moment, a load (electric vehicle) starts to connect to the charging station for charging. We record the number of load connections for each energy storage module.
[0064] The number of load connections for module A is 5 times, the number of load connections for module B is 3 times, and the number of load connections for module C is 7 times. According to the set rules, when the number of load connections exceeds a certain threshold (assuming it is 5 times), the discharge depth needs to be reduced to protect the energy storage module. Therefore, for modules A and C, since their load connection times exceed the threshold, the discharge depth needs to be adjusted from 80% to 60% (the second depth). The number of load connections for module B does not exceed the threshold, and its discharge depth remains at 80%. Subsequently, the control module will control modules A and C to adjust the discharge depth from 80% to 60% to extend the service life of the energy storage module.
[0065] It can be concluded from the above that this embodiment can effectively extend the life of the energy storage device, improve energy utilization efficiency, and enhance system stability and reliability by intelligently adjusting the discharge depth of the energy storage module and flexibly reducing the discharge depth (from a first depth to a smaller second depth) according to the number of load connections.
[0066] In one embodiment of the present disclosure, controlling the energy storage module to adjust from a first depth to a second depth includes:
[0067] The energy storage module is controlled to be adjusted from the first depth to the second depth according to the adjustment step.
[0068] In this embodiment, the adjustment step size refers to the amplitude of each change in the discharge depth when adjusting the discharge depth. It is an incremental or decremental value used to control the rate of change of the discharge depth. The size of the adjustment step size directly affects the smoothness of the discharge depth adjustment and the stress of the battery.
[0069] The adjustment step size is determined by the control module based on factors such as battery characteristics, number of load connections, and current discharge depth. The setting of the adjustment step size must take into account the balance between battery health and power demand.
[0070] The control module can adjust the discharge depth from the first depth to the second depth directly at one time, or it can adjust the value of the adjustment step by step in a gradually decreasing manner until the target second depth is reached. The latter can prevent the battery from experiencing a large change in the state of charge in a short period of time, reduce battery stress, and extend battery life. During the entire adjustment process, the control module needs to continuously monitor the battery status and load demand, and dynamically adjust the adjustment step or target discharge depth according to the actual situation to adapt to the changing power supply and demand and battery health status.
[0071] For example, the current discharge depth of the energy storage module is 80% (first depth). The control module calculates a more suitable discharge depth of 60% (second depth) based on the number of load connections and battery health status analysis. The control module sets an adjustment step of 5%, which can control the discharge depth of the energy storage module to gradually decrease from 80% to 75%, 70%, and finally to the target depth of 60%. Each adjustment follows the rule of the adjustment step.
[0072] From the above, it can be concluded that by controlling the energy storage module to adjust from the first depth to the second depth according to the adjustment step, the system achieves a smooth transition of the discharge depth, which not only meets the immediate needs of power supply and demand, but also effectively protects the battery and extends the battery life.
[0073] In one embodiment of the present disclosure, adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module includes:
[0074] The discharge parameters of each energy storage module are adjusted according to the target data, the battery type of the energy storage module and the charge amount of the energy storage module.
[0075] In this embodiment, the charge, or state of charge, refers to the current charge level of the energy storage module, which indicates the percentage of the remaining battery capacity to the total capacity. When adjusting the discharge parameters, the system must consider the current charge of the energy storage module to avoid over-discharging or premature charging of the battery. For example, when the SOC is low, the system may reduce the discharge power or stop discharging early to prevent deep discharge of the battery and protect the battery health.
[0076] This embodiment dynamically adjusts discharge parameters, such as discharge time, discharge power, and discharge depth, by comprehensively analyzing target data, battery type, and charge amount to achieve the following objectives:
[0077] Optimize energy use: Ensure accurate matching of power supply and demand, improve energy efficiency, and reduce energy waste. Protect battery health: Avoid excessive discharge or overcharging of batteries, extend battery life, and reduce maintenance costs. Respond to load demand: Flexibly adjust discharge strategies based on real-time and predicted load demand to ensure the stability and reliability of power supply.
[0078] From the above, it can be concluded that this embodiment comprehensively considers the target data, battery type and charge amount, accurately adjusts the discharge parameters of the energy storage module, further optimizes energy utilization, extends battery life, and improves the overall operating efficiency and stability of the integrated photovoltaic storage and charging system.
[0079] In one embodiment of the present disclosure, the discharge depth of the energy storage module is calculated according to a first formula;
[0080] The first formula includes:
[0081]
[0082] Where D is the discharge depth, is the rated energy capacity of the battery, is the self-discharge rate of the battery, is the number of charge and discharge cycles that the battery has undergone, is the minimum safe energy capacity of the battery, The optimal operating temperature designed for the battery, is the current ambient temperature, is the temperature coefficient, is the initial health status factor of the battery, is the battery aging factor.
[0083] In this embodiment, batteries of different types and specifications have different characteristics such as rated energy capacity, self-discharge rate and optimal operating temperature, so it is necessary to accurately set these parameters according to the specific battery to accurately calculate the depth of discharge. Changes in ambient temperature will significantly affect battery performance. Through the parameters of the temperature coefficient and the current ambient temperature, the depth of discharge under different temperature conditions can be more accurately calculated. The battery will age during use, and the initial health factor and aging factor can reflect this change, so that the calculation of the depth of discharge is more in line with the actual situation. The number of charge and discharge cycles of the battery will increase with use, and its impact on the battery performance and capacity needs to be reflected and adjusted through this formula.
[0084] Corresponding to the photovoltaic storage and charging integrated power distribution method of the above embodiment, Figure 3 This is a structural block diagram of a photovoltaic storage and charging integrated power distribution device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 3 The integrated photovoltaic storage and charging distribution device 20 includes: an acquisition module 21, an adjustment module 22, and a control module 23.
[0085] Wherein, the acquisition module 21 is used to acquire target data of each energy storage module, and the target data is historical load data of each energy storage module;
[0086] An adjustment module 22, used to adjust the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module;
[0087] The control module 23 is used to control the working state of each energy storage module according to the discharge parameters of each energy storage module.
[0088] In one embodiment of the present disclosure, the historical load data includes load quantity, load power, and load connection times;
[0089] The adjustment module 22 is specifically used for:
[0090] In response to the battery type of the energy storage module being the first type, the discharge parameters of each energy storage module are adjusted according to the load amount; in response to the battery type of the energy storage module being the second type, the discharge parameters of each energy storage module are adjusted according to the load power; in response to the battery type of the energy storage module being the third type, the discharge parameters of each energy storage module are adjusted according to the number of load connections.
[0091] In one embodiment of the present disclosure, the discharge parameters include discharge time, discharge power and discharge depth;
[0092] The adjustment module 22 is specifically used for:
[0093] Adjust the discharge parameters of each energy storage module according to the load, including:
[0094] Adjust the discharge time, discharge power and discharge depth of each energy storage module according to the load;
[0095] Adjust the discharge parameters of each energy storage module according to the load power, including:
[0096] Adjust the discharge time, discharge power and discharge depth of each energy storage module according to the load power;
[0097] Adjust the discharge parameters of each energy storage module according to the number of load connections, including:
[0098] The discharge time, discharge power and discharge depth of each energy storage module are adjusted according to the number of load connections.
[0099] In one embodiment of the present disclosure, the adjustment module 22 is specifically used to:
[0100] In response to the current discharge depth of the energy storage module being the first depth, determining the current discharge depth of the energy storage module to be the second depth according to the number of load connections;
[0101] The energy storage module is controlled to adjust from a first depth to a second depth; the first depth is greater than the second depth.
[0102] In one embodiment of the present disclosure, the adjustment module 22 is specifically used to:
[0103] The energy storage module is controlled to be adjusted from the first depth to the second depth according to the adjustment step.
[0104] In one embodiment of the present disclosure, the adjustment module 22 is specifically used to:
[0105] The discharge parameters of each energy storage module are adjusted according to the target data, the battery type of the energy storage module and the charge amount of the energy storage module.
[0106] In one embodiment of the present disclosure, the discharge depth of the energy storage module is calculated according to a first formula;
[0107] The first formula includes:
[0108]
[0109] Where D is the discharge depth, is the rated energy capacity of the battery, is the self-discharge rate of the battery, is the number of charge and discharge cycles that the battery has undergone, is the minimum safe energy capacity of the battery, The optimal operating temperature designed for the battery, is the current ambient temperature, is the temperature coefficient, is the initial health status factor of the battery, is the battery aging factor.
[0110] The present disclosure also provides a photovoltaic storage and charging integrated system, including a photovoltaic power generation module, a plurality of energy storage modules and a control module. Figure 4 , Figure 4 Schematic block diagram of a control module provided by an embodiment of the present disclosure. Figure 4 The control module 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned device embodiments, such as Figure 3 The functions of modules 21 to 23 are shown.
[0111] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0112] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
[0113] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.
[0114] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the integrated photovoltaic storage and charging distribution method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the control module described in the embodiments of the present disclosure, which will not be repeated here.
[0115] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.
[0116] The computer-readable storage medium may be an internal storage unit of the control module of any of the aforementioned embodiments, such as a hard disk or memory of the control module. The computer-readable storage medium may also be an external storage device of the control module, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the control module. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the control module and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the control module. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
[0117] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.
[0118] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the control modules and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0119] In the several embodiments provided in the present application, it should be understood that the disclosed control modules and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.
[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.
[0121] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0122] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.
Claims
1. A photovoltaic storage and charging integrated power distribution method, applied to a photovoltaic storage and charging integrated system, characterized in that: The integrated photovoltaic storage and charging system includes a photovoltaic power generation module, multiple energy storage modules and a control module; each energy storage module is connected to the load and the control module; The photovoltaic storage and charging integrated power distribution method comprises: Acquire target data of each energy storage module, wherein the target data is historical load data of each energy storage module; Adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module; Controlling the working state of each energy storage module based on the discharge parameters of each energy storage module; The historical load data includes load quantity, load power and load connection times; The step of adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module includes: In response to the battery type of the energy storage module being the first type, adjusting the discharge parameter of each energy storage module according to the load amount; in response to the battery type of the energy storage module being the second type, adjusting the discharge parameter of each energy storage module according to the load power; in response to the battery type of the energy storage module being the third type, adjusting the discharge parameter of each energy storage module according to the load connection number; Among them, the characteristics of the first type of battery focus on energy density and storage capacity, the characteristics of the second type of battery focus on power output, and the characteristics of the third type of battery focus on the cycle life of the battery; The discharge parameters include discharge time, discharge power and discharge depth; The step of adjusting the discharge parameters of each energy storage module according to the load comprises: Adjusting the discharge time, discharge power and discharge depth of each energy storage module according to the load; The step of adjusting the discharge parameters of each energy storage module according to the load power includes: Adjusting the discharge time, discharge power and discharge depth of each energy storage module according to the load power; The adjusting the discharge parameter of each energy storage module according to the load connection times includes: The discharge time, discharge power and discharge depth of each energy storage module are adjusted according to the load connection times.
2. The photovoltaic storage and charging integrated power distribution method according to claim 1, characterized in that: The step of adjusting the discharge depth of each energy storage module according to the load connection times includes: In response to the current discharge depth of the energy storage module being the first depth, determining the current discharge depth of the energy storage module being the second depth according to the load connection number; The energy storage module is controlled to adjust from a first depth to a second depth; the first depth is greater than the second depth.
3. The photovoltaic storage and charging integrated power distribution method according to claim 2, characterized in that: The controlling the energy storage module to adjust from the first depth to the second depth comprises: The energy storage module is controlled to be adjusted from the first depth to the second depth according to the adjustment step.
4. The photovoltaic storage and charging integrated power distribution method according to claim 1, characterized in that: The step of adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module includes: The discharge parameters of each energy storage module are adjusted according to the target data, the battery type of the energy storage module and the charge amount of the energy storage module.
5. The photovoltaic storage and charging integrated power distribution method according to claim 1, characterized in that: Calculating the discharge depth of the energy storage module according to the first formula; The first formula includes: Where D is the discharge depth, is the rated energy capacity of the battery, is the self-discharge rate of the battery, is the number of charge and discharge cycles that the battery has undergone, is the minimum safe energy capacity of the battery, The optimal operating temperature designed for the battery, is the current ambient temperature, is the temperature coefficient, is the initial health status factor of the battery, is the battery aging factor.
6. A photovoltaic storage and charging integrated power distribution device, characterized in that: include: An acquisition module, used to acquire target data of each energy storage module, wherein the target data is historical load data of each energy storage module; An adjustment module, used to adjust the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module; the historical load data includes load amount, load power and load connection times; The step of adjusting the discharge parameters of each energy storage module according to the target data and the battery type of the energy storage module includes: In response to the battery type of the energy storage module being the first type, adjusting the discharge parameter of each energy storage module according to the load amount; in response to the battery type of the energy storage module being the second type, adjusting the discharge parameter of each energy storage module according to the load power; in response to the battery type of the energy storage module being the third type, adjusting the discharge parameter of each energy storage module according to the load connection number; Among them, the characteristics of the first type of battery focus on energy density and storage capacity, the characteristics of the second type of battery focus on power output, and the characteristics of the third type of battery focus on the cycle life of the battery; The discharge parameters include discharge time, discharge power and discharge depth; The step of adjusting the discharge parameters of each energy storage module according to the load comprises: Adjusting the discharge time, discharge power and discharge depth of each energy storage module according to the load; The step of adjusting the discharge parameters of each energy storage module according to the load power includes: Adjusting the discharge time, discharge power and discharge depth of each energy storage module according to the load power; The adjusting the discharge parameter of each energy storage module according to the load connection times includes: Adjusting the discharge time, discharge power and discharge depth of each energy storage module according to the load connection times; The control module is used to control the working state of each energy storage module based on the discharge parameters of each energy storage module.
7. A photovoltaic storage and charging integrated system, comprising a photovoltaic power generation module, a plurality of energy storage modules and a control module, wherein the control module comprises a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.
8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.
Citation Information
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