Energy storage device internal resistance adjusting method and system, computer device and related apparatus

Abstract

The present application relates to the technical field of energy storage equipment, and discloses an energy storage equipment internal resistance adjusting method, system, computer device and related device, the energy storage equipment internal resistance adjusting method comprises: obtaining current power grid parameters, current energy storage equipment parameters and historical energy storage equipment parameters; determining the importance of each current energy storage equipment parameter based on the current power grid parameters; constructing a relationship function between each current energy storage equipment parameter and the internal resistance of the energy storage equipment based on the importance; determining the adjusting range of the internal resistance of the energy storage equipment based on the relationship function, the current energy storage equipment parameters and the historical energy storage equipment parameters, and adjusting the internal resistance based on the adjusting range. The present application can solve the problem of not being able to adjust the energy storage equipment in real time, and can respond to changes in the power grid environment in a timely manner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage devices, in particular to an energy storage device internal resistance adjusting method and system, a computer device and related apparatus. BACKGROUND

[0002] In recent years, new energy has become increasingly popular, and more and more regions have begun to increase the investment in new energy, especially photovoltaic energy storage systems. At the same time, photovoltaic energy storage systems also face more application scenarios, and need to be able to realize the reasonable allocation of energy. Therefore, the requirements for the safe operation and stability of the energy storage system are becoming higher and higher.

[0003] The existing energy storage battery device state and optimization control device and method directly perform balancing when the difference between the highest voltage and the lowest voltage (frequency, etc.) is greater than the preset voltage difference threshold value during internal resistance balancing adjustment between multiple different energy storage devices.

[0004] However, the load power of the energy storage system is not a constant value, and the device operation is unstable, which causes the energy storage system to be unable to manage the internal resistance of the device with the usual power value and environmental temperature value. The traditional photovoltaic energy storage system monitoring method usually lacks real-time and dynamic adjustment capability, and cannot respond to changes in the power grid environment in a timely manner, which easily causes unstable operation of the power grid or power supply failure. SUMMARY

[0005] Therefore, the present application provides an energy storage device internal resistance adjusting method, system, computer device and related apparatus to solve the problem of being unable to adjust the internal resistance of the energy storage device in real time, and to respond to changes in the power grid environment in a timely manner.

[0006] In a first aspect, the present application provides an energy storage device internal resistance adjusting method, which comprises: obtaining current power grid parameters, current energy storage device parameters and historical energy storage device parameters; determining the importance of each current energy storage device parameter based on the current power grid parameters; constructing a relationship function between each current energy storage device parameter and the internal resistance of the energy storage device based on the importance; determining the adjusting range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters and the historical energy storage device parameters, and adjusting the internal resistance based on the adjusting range.

[0007] In this implementation, the importance of the current energy storage device parameters is determined according to the power grid parameters, the relationship function is determined according to the influence degree of the power grid environment on the operation of the energy storage device, and the power grid environment changes can be responded to in a timely manner. At the same time, the adjusting range of the internal resistance of the energy storage device is further determined according to the difference information of the current energy storage device parameters and the historical energy storage device parameters, the operation internal resistance of the energy storage device can be adjusted in a timely manner according to the current device condition, and the adjusting efficiency and accuracy are improved.

[0008] In one optional implementation, determining the importance of each current energy storage device parameter based on the current grid parameters includes: determining the current grid environment information based on the current grid parameters; determining the weight of each current grid parameter based on the importance of the current grid parameters according to the grid environment information, wherein the higher the importance, the greater the corresponding weight; and using the weight of the current grid parameters as the parameter weight of the current energy storage device parameters.

[0009] In this implementation, the weight parameters are determined based on importance, which can pay more attention to the impact of the power grid environment on the operation of energy storage devices and better cope with changes in the power grid environment.

[0010] In one optional implementation, constructing the relationship function between each current energy storage device parameter and the internal resistance of the energy storage device based on importance includes: constructing a basic function containing basic parameters between the current energy storage device parameters and the internal resistance of the energy storage device based on a function model; and using the parameter weights of each current energy storage device parameter as the corresponding basic parameters in the basic function to obtain the relationship function.

[0011] In one optional implementation, the energy storage device parameters include temperature parameters, frequency parameters, voltage parameters, and gas parameters. The parameter weights of each current energy storage device parameter are used as the corresponding basic parameters in the basic function, resulting in the following relationship function: A = c1V + c2F + c3T + c4G + R; where A is the overall weighted value, V is the voltage parameter, F is the frequency parameter, T is the temperature parameter, G is the gas parameter, and R is the internal resistance of the energy storage device; where c1 is the weight parameter of the voltage parameter, c2 is the weight parameter of the frequency parameter, c3 is the weight parameter of the temperature parameter, and c4 is the weight parameter of the gas parameter.

[0012] In this implementation, a method for constructing a relational function is proposed, which can clarify the influence of weight parameters on the parameters of each energy storage device, and further clarify the influence of temperature parameters, frequency parameters, voltage parameters and gas parameters on internal resistance, so as to adjust the internal resistance of the energy storage device in real time.

[0013] In one optional implementation, determining the adjustment range of the internal resistance of the energy storage device based on the relationship function, current energy storage device parameters, and historical energy storage device parameters includes: obtaining the parameter difference between each current energy storage device parameter and the corresponding historical energy storage device parameter; and determining the adjustment range of the internal resistance of the energy storage device based on the relationship function and the parameter difference.

[0014] In one optional implementation, determining the adjustment range of the internal resistance of the energy storage device based on the relationship function and parameter difference includes: obtaining an overall reference range of the overall weighted value; and determining the adjustment range of the internal resistance of the energy storage device based on the relationship function, parameter difference, and overall reference range.

[0015] In this implementation, the adjustment range of the internal resistance of the energy storage device is determined based on historical and current energy storage device parameters. This approach comprehensively considers the changes in energy storage device parameters and improves the accuracy of the adjustment range calculation.

[0016] Secondly, the present invention provides an internal resistance adjustment system for energy storage devices, comprising: a power grid environment monitoring module for acquiring current power grid parameters; an energy storage device management module for acquiring current energy storage device parameters and historical energy storage device parameters, and adjusting the internal resistance of the energy storage device based on an adjustment range; and a remote monitoring and processing module for determining the importance of each current energy storage device parameter based on the current power grid parameters; constructing a relationship function between each current energy storage device parameter and the internal resistance of the energy storage device based on the importance; and determining the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters, and the historical energy storage device parameters.

[0017] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the energy storage device internal resistance adjustment method of the first aspect or any corresponding embodiment described above.

[0018] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the energy storage device internal resistance adjustment method of the first aspect or any corresponding embodiment described above.

[0019] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the energy storage device internal resistance adjustment method of the first aspect or any corresponding embodiment described above. Attached Figure Description

[0020] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of an internal resistance regulation system for an energy storage device according to an embodiment of the present invention;

[0022] Figure 2 This is a flowchart of a method for adjusting the internal resistance of an energy storage device according to an embodiment of the present invention;

[0023] Figure 3 This is a flowchart of another method for adjusting the internal resistance of an energy storage device according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] According to an embodiment of the present invention, an internal resistance regulation system for an energy storage device is provided. Please refer to [link / reference]. Figure 1 , Figure 1 This is a schematic diagram of an energy storage device internal resistance regulation system according to an embodiment of the present invention. The energy storage device internal resistance regulation system includes a power grid environment monitoring module, an energy storage device management module, and a remote monitoring and processing module, which are interconnected.

[0027] The power grid environment monitoring module is used to acquire current power grid parameters. These parameters include voltage, frequency, temperature, and gas parameters.

[0028] Specifically, the power grid environment monitoring module includes a voltage sensor, a power meter, a temperature sensor, a gas sensor, and a data transmission unit.

[0029] Voltage sensors are used to acquire real-time voltage data of the current power grid, power meters are used to measure real-time frequency data of the current power grid, temperature sensors are used to acquire real-time temperature data of the current environment of the photovoltaic and energy storage power station, and gas sensors are used to acquire real-time gas data of the current environment of the photovoltaic and energy storage power station.

[0030] The data transmission unit is used to send the detected voltage parameters, frequency parameters, temperature parameters, and gas parameters to the remote monitoring and processing module.

[0031] The energy storage device management module is used to acquire current and historical energy storage device parameters, and adjust the internal resistance of the energy storage device based on the adjustment range. Energy storage device parameters include internal resistance, voltage, frequency, temperature, and gas parameters.

[0032] Specifically, the energy storage device management module includes an energy storage parameter acquisition module, an equipment optimization module, and a communication unit.

[0033] The energy storage parameter acquisition module is used to acquire current operating data and historical operating parameters of energy storage devices. Operating parameters include internal resistance, voltage, frequency, temperature, and gas parameters of the energy storage device.

[0034] The equipment optimization module is used to adjust the internal resistance according to the adjustment range. The adjustment range is calculated by the remote monitoring and processing module.

[0035] The communication unit is used to send the detected internal resistance parameters, voltage parameters, frequency parameters, temperature parameters, and gas parameters of the current and historical energy storage devices to the remote monitoring and processing module, and to receive the internal resistance adjustment range sent by the remote monitoring and processing module.

[0036] The remote monitoring and processing module is used to determine the importance of each current energy storage device parameter based on the current grid parameters; to construct a relationship function between each current energy storage device parameter and the internal resistance of the energy storage device based on the importance; and to determine the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters, and the historical energy storage device parameters.

[0037] Specifically, the remote monitoring and processing module includes a data analysis and management module, an early warning module, and a data interaction module.

[0038] The data interaction module receives current grid parameters from the grid environment monitoring module, such as current grid voltage, frequency, temperature, and gas parameters. It also receives current and historical energy storage device parameters from the energy storage device management module, such as current and historical internal resistance, voltage, frequency, temperature, and gas parameters.

[0039] The data analysis and management module is used to determine the adjustment range of the internal resistance of the energy storage device based on the current grid parameters, the current energy storage device parameters, and the historical energy storage device parameters.

[0040] In one implementation, determining the importance of each current energy storage device parameter based on the current grid parameters includes: determining the current grid environment information based on the current grid parameters; determining the weight of each current grid parameter based on the importance of the current grid parameters according to the grid environment information, with higher importance corresponding to greater weight; and using the weight of the current grid parameters as the parameter weight of the current energy storage device parameters.

[0041] Specifically, current power grid environmental information includes ambient temperature stability, voltage stability, frequency stability, and gas state. Temperature stability is determined based on temperature parameters, voltage stability based on voltage parameters, frequency stability based on frequency parameters, and gas state based on gas parameters. Furthermore, the impact of these current power grid parameters on the operation of the energy storage device is determined based on their respective levels of influence; a greater influence results in a greater weight.

[0042] For example, in a certain photovoltaic-energy storage facility environment, the grid ambient temperature is relatively stable, there are no hazardous gases present, and fluctuations in grid voltage or frequency will significantly affect the normal operation of the energy storage equipment. Therefore, the degree of influence of current grid parameters on the current energy storage equipment, from highest to lowest, is voltage information, frequency information, temperature information, and gas information.

[0043] Weights are assigned to voltage, frequency, temperature, and gas information, respectively. For example, if the weights of voltage, frequency, temperature, and gas information are a, b, c, and d, respectively, then in order of importance, a > b > c > d. The values ​​of a, b, c, and d can be set empirically or obtained through linear programming. The formula a + b + c + d = 1. For example, the values ​​of a, b, c, and d are 0.4, 0.3, 0.2, and 0.1, respectively.

[0044] In this implementation, the weight parameters are determined based on importance, which can pay more attention to the impact of the power grid environment on the operation of energy storage devices and better cope with changes in the power grid environment.

[0045] In one implementation, a basic function containing fundamental parameters is constructed based on a function model to relate the current energy storage device parameters to the internal resistance of the energy storage device; the parameter weights of each current energy storage device parameter are used as the corresponding fundamental parameters in the basic function to obtain the relational function.

[0046] For example, the basic function containing basic parameters is constructed as A = c1V + c2F + c3T + c4G + R, where A is the overall weighted value, V is the voltage parameter, F is the frequency parameter, T is the temperature parameter, G is the gas parameter, R is the internal resistance of the energy storage device, and c1, c2, c3 and c4 are the basic parameters.

[0047] By using the parameter weights of voltage, frequency, temperature, and gas information as the basic parameters of the corresponding information, the relationship function is obtained as A = aV + bF + cT + dG + R.

[0048] For example, the values ​​of a, b, c, and d are 0.4, 0.3, 0.2, and 0.1, respectively, and the relational function is A = 0.4V + 0.3F + 0.2T + 0.1G + R.

[0049] Another example is that when the gas state is stable, the gas information is 0, i.e., G = 0, then the relational function is A = 0.4V + 0.3F + 0.2T + R.

[0050] Among them, the larger the weight value of the parameter, the greater the impact of the change on the overall weighted value of the overall operating data. When the reference range of the overall weighted value is determined, the adjustment range of the internal resistance can be determined.

[0051] In this implementation, a method for constructing a relational function is proposed, which can clarify the influence of weight parameters on the parameters of each energy storage device, and further clarify the influence of temperature parameters, frequency parameters, voltage parameters and gas parameters on internal resistance, so as to adjust the internal resistance of the energy storage device in real time.

[0052] In one implementation, the overall reference range of the overall weighted value is obtained, and the adjustment range of the internal resistance of the energy storage device is determined based on the relational function, the overall reference range of the overall weighted value, and the current energy storage device parameters.

[0053] In another implementation, the overall reference range of the overall weighted value is obtained, and the adjustment range of the internal resistance of the energy storage device is determined based on the relational function, the current energy storage device parameters, the historical energy storage device parameters, and the overall reference range.

[0054] Obtain the parameter differences between the current parameters of each energy storage device and the corresponding historical parameters of the energy storage devices; determine the adjustment range of the internal resistance of the energy storage devices based on the relationship function and the parameter differences; and determine the adjustment range of the internal resistance of the energy storage devices based on the relationship function, the parameter differences, and the overall reference range.

[0055] Specifically, the voltage parameter difference, temperature parameter difference, frequency parameter difference, and gas parameter difference are substituted into the relational function, and the adjustment range of the internal resistance of the energy storage device is determined based on the overall reference range.

[0056] The early warning module is used to compare multiple operating data received from the energy storage device with the corresponding reference values ​​to determine whether they exceed the safe range. If they do, an early warning signal is issued.

[0057] The data interaction module is used to generate control information based on the adjustment range of the internal resistance of the energy storage device, and send the control information to the energy storage device management module.

[0058] In this implementation, this application determines the importance of current energy storage device parameters based on grid parameters, enabling the determination of a relationship function based on the degree of influence of the grid environment on the operation of the energy storage device, and allowing for timely responses to changes in the grid environment. Simultaneously, based on the differences between current and historical energy storage device parameters, the adjustment range of the energy storage device's internal resistance is further determined, allowing for timely adjustment of the energy storage device's operating internal resistance according to its current condition, improving adjustment efficiency and accuracy. Specifically, determining weight parameters based on importance places greater emphasis on the impact of the grid environment on the operation of the energy storage device, enabling better responses to changes in the grid environment. Determining the adjustment range of the energy storage device's internal resistance based on historical and current energy storage device parameters comprehensively considers changes in energy storage device parameters, improving the accuracy of the adjustment range calculation.

[0059] According to an embodiment of the present invention, an embodiment of a method for adjusting the internal resistance of an energy storage device is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0060] This embodiment provides a method for adjusting the internal resistance of an energy storage device, which can be used in the aforementioned energy storage device internal resistance adjustment system. Figure 2 This is a flowchart of a method for adjusting the internal resistance of an energy storage device according to an embodiment of the present invention. It should be noted that if substantially the same result is obtained, this embodiment does not necessarily reflect that result. Figure 2 The illustrated process sequence is limited. For example... Figure 2 As shown, the process includes the following steps:

[0061] Step S201: Obtain current grid parameters, current energy storage device parameters, and historical energy storage device parameters.

[0062] The power grid parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters.

[0063] Specifically, the voltage sensor, power meter, temperature sensor, and gas sensor in the power grid environment monitoring module are used to obtain the current voltage parameter, current frequency parameter, current temperature parameter, and current gas parameter, respectively.

[0064] The parameters of the energy storage device include internal resistance, voltage, frequency, temperature, and gas parameters.

[0065] Specifically, the energy storage device management module is used to obtain the current internal resistance parameters, current voltage parameters, current frequency parameters, current temperature parameters, and current gas parameters of the energy storage device, as well as the historical internal resistance parameters, historical voltage parameters, historical frequency parameters, historical temperature parameters, and historical gas parameters of the energy storage device.

[0066] Step S202: Determine the importance of each current energy storage device parameter based on the current grid parameters.

[0067] The remote monitoring and processing module determines the degree of influence of the stability of the current power grid parameters on the operation of the energy storage device. When the degree of influence of the current power grid parameters on the operation of the energy storage device is high, the importance of the current power grid parameters is high, and the importance of the corresponding current energy storage device parameters is also high.

[0068] Step S203: Construct a relationship function between the parameters of each current energy storage device and the internal resistance of the energy storage device based on its importance.

[0069] The relationship function describes the relationship between each current energy storage device parameter and its internal resistance. Importance is used as the parameter weight for the corresponding current energy storage device parameter within the relationship function. Higher importance indicates a greater impact on the internal resistance of the energy storage device.

[0070] Step S204: Determine the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters and the historical energy storage device parameters, and adjust the internal resistance based on the adjustment range.

[0071] The remote monitoring and processing module calculates and determines the adjustment range of the internal resistance of the energy storage device, and the energy storage device management module adjusts the internal resistance based on the adjustment range.

[0072] The energy storage device internal resistance adjustment method provided in this embodiment determines the importance of current energy storage device parameters based on grid parameters, and establishes a relationship function based on the degree of influence of the grid environment on the operation of the energy storage device, enabling timely responses to changes in the grid environment. Furthermore, it further determines the adjustment range of the energy storage device's internal resistance based on the differences between current and historical energy storage device parameters, allowing for timely adjustment of the energy storage device's operating internal resistance according to the current device condition, thus improving adjustment efficiency and accuracy.

[0073] This embodiment provides a method for adjusting the internal resistance of an energy storage device, which can be used in the aforementioned energy storage device internal resistance adjustment system. Figure 3 This is a flowchart of another method for adjusting the internal resistance of an energy storage device according to an embodiment of the present invention. It should be noted that if substantially the same result is obtained, this embodiment does not necessarily follow the same approach. Figure 3 The illustrated process sequence is limited. For example... Figure 3 As shown, the process includes the following steps:

[0074] Step S301: Obtain current grid parameters, current energy storage device parameters, and historical energy storage device parameters.

[0075] The power grid parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters.

[0076] Specifically, the voltage sensor of the power grid environment monitoring module acquires real-time voltage data of the current power grid, the power meter measures real-time frequency data of the current power grid, the temperature sensor acquires real-time temperature data of the current environment of the photovoltaic-storage power station, and the gas sensor acquires real-time gas data of the current environment of the photovoltaic-storage power station.

[0077] The parameters of the energy storage device include internal resistance, voltage, frequency, temperature, and gas parameters.

[0078] Specifically, the energy storage device management module is used to obtain the current internal resistance parameters, current voltage parameters, current frequency parameters, current temperature parameters, and current gas parameters of the energy storage device, as well as the historical internal resistance parameters, historical voltage parameters, historical frequency parameters, historical temperature parameters, and historical gas parameters of the energy storage device.

[0079] Step S302: Determine the importance of each current energy storage device parameter based on the current grid parameters.

[0080] Specifically, step S302 includes:

[0081] Step S3021: Determine the current power grid environment information based on the current power grid parameters.

[0082] The current power grid environment information includes ambient temperature stability, voltage stability, frequency stability, and gas state.

[0083] Step S3022: Determine the importance of the current power grid parameters and the weight of each current power grid parameter based on the power grid environment information.

[0084] The remote monitoring and processing module determines temperature stability based on temperature parameters, voltage stability based on voltage parameters, frequency stability based on frequency parameters, and gas state based on gas parameters. Furthermore, it determines the degree of influence of the corresponding current grid parameters on the operation of the energy storage device based on the environmental temperature stability, voltage stability, frequency stability, and gas state. Weights are then assigned to the current energy storage device parameters based on this degree of influence; the greater the influence, the greater the weight.

[0085] Step S3023: Use the weights of the current grid parameters as the parameter weights of the current energy storage device parameters.

[0086] Weights are assigned to the voltage, frequency, temperature, and gas information of the current energy storage device.

[0087] Step S303: Construct a relationship function between the parameters of each current energy storage device and the internal resistance of the energy storage device based on its importance.

[0088] Specifically, step S303 includes:

[0089] Step S3031: Construct a basic function containing basic parameters between the current energy storage device parameters and the internal resistance of the energy storage device based on the function model.

[0090] Step S3032: Use the parameter weights of each current energy storage device parameter as the corresponding basic parameters in the basic function to obtain the relation function.

[0091] In one implementation, the basic function containing fundamental parameters is constructed as A = c1V + c2F + c3T + c-4G + R, where A is the overall weighted value, V is the voltage parameter, F is the frequency parameter, T is the temperature parameter, G is the gas parameter, R is the internal resistance of the energy storage device, and c1, c2, c3, and c4 are the fundamental parameters.

[0092] By using the parameter weights of voltage, frequency, temperature, and gas information as the basic parameters of the corresponding information, the relationship function is obtained as A = aV + bF + cT + dG + R.

[0093] For example, the values ​​of a, b, c, and d are 0.4, 0.3, 0.2, and 0.1, respectively, and the relational function is A = 0.4V + 0.3F + 0.2T + 0.1G + R.

[0094] Another example is that when the gas state is stable, the gas information is 0, i.e., G = 0, then the relational function is A = 0.4V + 0.3F + 0.2T + R.

[0095] Step S304: Determine the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters and the historical energy storage device parameters, and adjust the internal resistance based on the adjustment range.

[0096] Specifically, step S304 includes:

[0097] Step S3041: Obtain the parameter difference between each current energy storage device parameter and the corresponding historical energy storage device parameter.

[0098] Step S3042: Based on the relationship function and parameter difference, determine the adjustment range of the internal resistance of the energy storage device.

[0099] Step S3043: Adjust the internal resistance based on the adjustment range.

[0100] The energy storage device internal resistance adjustment method provided in this embodiment determines the importance of current energy storage device parameters based on grid parameters. It can determine the relationship function based on the degree of influence of the grid environment on the operation of the energy storage device, enabling timely responses to changes in the grid environment. Simultaneously, it further determines the adjustment range of the energy storage device's internal resistance based on the differences between current and historical energy storage device parameters. This allows for timely adjustment of the energy storage device's operating internal resistance according to the current device condition, improving adjustment efficiency and accuracy. Specifically, determining weight parameters based on importance places greater emphasis on the impact of the grid environment on the operation of the energy storage device, enabling better responses to changes in the grid environment. Determining the adjustment range of the energy storage device's internal resistance based on historical and current energy storage device parameters comprehensively considers changes in energy storage device parameters, improving the accuracy of the adjustment range calculation.

[0101] In this embodiment, the internal resistance adjustment device of the energy storage device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0102] This invention also provides a computer device having the above-described features. Figure 1 The internal resistance adjustment device of the energy storage device shown is shown.

[0103] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 4 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 4 Take a processor 10 as an example.

[0104] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GPA), or any combination thereof.

[0105] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0106] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0107] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0108] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0109] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touchscreen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touchscreen.

[0110] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0111] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0112] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for adjusting the internal resistance of an energy storage device, characterized in that, The method includes: Obtain current grid parameters, current energy storage device parameters, and historical energy storage device parameters; The importance of each current energy storage device parameter is determined based on the current grid parameters; the grid parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters, and the energy storage device parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters. Based on the importance, construct a relationship function between the parameters of each current energy storage device and the internal resistance of the energy storage device; The adjustment range of the internal resistance of the energy storage device is determined based on the relationship function, the current energy storage device parameters, and the historical energy storage device parameters, and the internal resistance is adjusted based on the adjustment range.

2. The method for adjusting the internal resistance of an energy storage device according to claim 1, characterized in that, The determination of the importance of each parameter of the current energy storage device based on the current power grid parameters includes: Determine the current power grid environment information based on the current power grid parameters; The importance of the current power grid parameters is determined based on the power grid environment information, and the weight of each current power grid parameter is further determined, wherein the higher the importance, the greater the corresponding weight. The weights of the current power grid parameters are used as the importance of the current energy storage device parameters.

3. The method for adjusting the internal resistance of an energy storage device according to claim 2, characterized in that, The function that constructs the relationship between the parameters of each current energy storage device and the internal resistance of the energy storage device based on the importance includes: Based on the function model, a basic function containing the basic parameters is constructed between the current energy storage device parameters and the internal resistance of the energy storage device. The importance of each of the current energy storage device parameters is used as the weight of the corresponding parameter in the basic function to obtain the relationship function.

4. The method for adjusting the internal resistance of an energy storage device according to claim 3, characterized in that, The energy storage device parameters include temperature parameters, frequency parameters, voltage parameters, and gas parameters. The step of using the parameter weights of each current energy storage device parameter as the corresponding basic parameters in the basic function to obtain the relationship function includes: A = c1V + c2F + c3T + c4G + R; Wherein, A is the overall weighted value, V is the voltage parameter, F is the frequency parameter, T is the temperature parameter, G is the gas parameter, and R is the internal resistance of the energy storage device; Wherein, c1 is the weight of the voltage parameter, c2 is the weight of the frequency parameter, c3 is the weight of the temperature parameter, and c4 is the weight of the gas parameter.

5. The method for adjusting the internal resistance of an energy storage device according to claim 4, characterized in that, The process of determining the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters, and the historical energy storage device parameters includes: Obtain the parameter difference between each current energy storage device parameter and the corresponding historical energy storage device parameter; Based on the relationship function and the parameter difference, the adjustment range of the internal resistance of the energy storage device is determined.

6. The method for adjusting the internal resistance of an energy storage device according to claim 5, characterized in that, The process of determining the adjustment range of the internal resistance of the energy storage device based on the relationship function and the parameter difference includes: Obtain the overall reference range of the overall weighted value; Based on the relationship function, the parameter difference, and the overall reference range, the adjustment range of the internal resistance of the energy storage device is determined.

7. An internal resistance regulation system for an energy storage device, characterized in that, The system includes: The power grid environment monitoring module is used to acquire current power grid parameters; The energy storage device management module is used to obtain current and historical energy storage device parameters and adjust the internal resistance of the energy storage device based on the adjustment range. A remote monitoring and processing module is used to determine the importance of each parameter of the current energy storage device based on the current grid parameters; construct a relationship function between each parameter of the current energy storage device and the internal resistance of the energy storage device based on the importance; and determine the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameters, and the historical energy storage device parameters; the grid parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters, and the energy storage device parameters include voltage parameters, frequency parameters, temperature parameters, and gas parameters.

8. A computer device, characterized in that, include: A memory and a processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the energy storage device internal resistance adjustment method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the energy storage device internal resistance adjustment method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions, which are used to cause a computer to perform the energy storage device internal resistance adjustment method according to any one of claims 1 to 6.

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