Internal resistance adjusting method and system for energy storage equipment, computer equipment and related device

Abstract

The invention relates to the technical field of energy storage equipment, and discloses an energy storage equipment internal resistance adjusting method and system, computer equipment and a related device, and the energy storage equipment internal resistance adjusting method comprises the steps: obtaining a current power grid parameter, a current energy storage equipment parameter and a historical energy storage equipment parameter; determining the importance degree of each current energy storage equipment parameter based on the current power grid parameter; constructing a relation function between each current energy storage equipment parameter and the internal resistance of the energy storage equipment based on the importance degree; and based on the relation function, the current energy storage device parameter and the historical energy storage device parameter, determining an adjustment range of the internal resistance of the energy storage device, and adjusting the internal resistance based on the adjustment range. The problem that the energy storage equipment cannot be adjusted in real time can be solved, and changes of the power grid environment can be coped with in time.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage equipment, and in particular to an energy storage equipment internal resistance adjustment method, system, computer equipment and related devices. Background Art

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

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

[0004] However, the load power of the energy storage system is not a constant value, and the equipment is unstable, which means that the energy storage system cannot manage the internal resistance of the equipment with the usual power value and ambient temperature value. Traditional monitoring methods for optical energy storage systems usually lack real-time and dynamic adjustment capabilities, and cannot respond to changes in the power grid environment in a timely manner, which can easily cause unstable power grid operation or power supply failures. Summary of the invention

[0005] In view of this, the present invention provides a method, system, computer equipment and related devices for adjusting the internal resistance of an energy storage device to solve the problem that the operating internal resistance of the energy storage device cannot be adjusted in real time, and can respond to changes in the power grid environment in a timely manner.

[0006] In a first aspect, the present invention provides a method for adjusting the internal resistance of an energy storage device, the method comprising: obtaining current 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 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 an 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 adjusting the internal resistance based on the adjustment range.

[0007] In this implementation, the present application determines the importance of the current energy storage device parameters according to the power grid parameters, can determine the relationship function according to the degree of influence of the power grid environment on the operation of the energy storage device, and can respond to changes in the power grid environment in a timely manner. At the same time, the adjustment range of the internal resistance of the energy storage device is further determined based on the difference information between the current energy storage device parameters and the historical energy storage device parameters, and can adjust the operating internal resistance of the energy storage device in a timely manner according to the current device conditions, thereby improving the adjustment efficiency and accuracy.

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

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

[0010] In an optional embodiment, constructing a 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 a relationship function.

[0011] In an optional implementation, the energy storage device parameters include temperature parameters, frequency parameters, voltage parameters and gas parameters. The parameter weights of the current energy storage device parameters are used as the corresponding basic parameters in the basic function, and the relationship function obtained 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 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 relationship function is proposed, which can clarify the influence of weight parameters on various energy storage device parameters, and further clarify the influence of temperature parameters, frequency parameters, voltage parameters and gas parameters on internal resistance, so as to adjust the operating internal resistance of the energy storage device in real time.

[0013] In an optional implementation, 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: 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 an optional implementation, determining the adjustment range of the internal resistance of the energy storage device based on the relationship function and the 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, the parameter difference and the overall reference range.

[0015] In this implementation, the adjustment range of the internal resistance of the energy storage device is determined based on historical energy storage device parameters and current energy storage device parameters, which can comprehensively consider changes in the energy storage device parameters and improve the calculation accuracy of the adjustment range.

[0016] In a second aspect, the present invention provides an energy storage device internal resistance regulation system, which includes: a power grid environment monitoring module, used to obtain current power grid parameters; an energy storage device management module, used to obtain current energy storage device parameters and historical energy storage device parameters, and adjust the internal resistance of the energy storage device based on an adjustment range; a remote monitoring processing module, used to determine the importance of each current energy storage device parameter based on the current power grid parameters; 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 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.

[0017] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for regulating the internal resistance of an energy storage device according to the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for regulating the internal resistance of an energy storage device according to the first aspect or any corresponding embodiment thereof.

[0019] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute the method for regulating the internal resistance of an energy storage device according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

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

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

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

[0024] Figure 4 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0026] According to an embodiment of the present invention, a system for adjusting the internal resistance of an energy storage device is provided. Figure 1 , Figure 1 Schematic diagram of an energy storage device internal resistance adjustment system according to an embodiment of the present invention. The energy storage device internal resistance adjustment system includes a power grid environment monitoring module, an energy storage device management module and a remote monitoring processing module, which are respectively connected to each other.

[0027] The power grid environment monitoring module is used to obtain current power grid parameters, including voltage parameters, frequency parameters, temperature parameters, 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] The voltage sensor is used to obtain the real-time data of the voltage of the current power grid, the power meter is used to measure the real-time data of the frequency of the current power grid, the temperature sensor is used to obtain the real-time data of the temperature of the current environment of the photovoltaic storage station, and the gas sensor is used to obtain the real-time data of the gas in the current environment of the photovoltaic storage station.

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

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

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

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

[0036] Among them, the remote monitoring processing module is used to determine the importance of each current energy storage device parameter based on the current power grid parameters; 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 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 processing module includes a data analysis and management module, an early warning module and a data interaction module.

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

[0039] The data analysis 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 power grid parameters includes: determining the current power grid environment information based on the current power grid parameters; determining the importance of the current power grid parameters based on the power grid environment information and determining the weight of each current power grid parameter, wherein the higher the importance, the greater the corresponding weight; and using the weight of the current power grid parameter as the parameter weight of the current energy storage device parameter.

[0041] Specifically, the current power grid environment information includes ambient temperature stability, voltage stability, frequency stability, gas state, etc. The temperature stability is determined based on the temperature parameter, the voltage stability is determined based on the voltage parameter, the frequency stability is determined based on the frequency parameter, and the gas state is determined based on the gas parameter. Further, the influence of the corresponding current power grid parameters on the operation of the energy storage device is determined according to the ambient temperature stability, voltage stability, frequency stability, gas state, etc., and the weight is set for the current energy storage device parameter according to the influence degree. The greater the influence degree, the greater the weight.

[0042] For example, in a certain photovoltaic storage station environment, the grid environment temperature is relatively stable, there is no risk gas, and the fluctuation of grid voltage or frequency will greatly affect the normal operation of the energy storage device. Therefore, the influence of the current grid parameters on the current energy storage device from high to low are voltage information, frequency information, temperature information and gas information.

[0043] Set weights for voltage information, frequency information, temperature information, and gas information, respectively. For example, the weights of voltage information, frequency information, temperature information, and gas information are a, b, c, and d, respectively. In order of importance, a>b>c>d. The values ​​of a, b, c, and d can be set based on experience or obtained through linear programming. 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 according to the importance, which can pay more attention to the impact of the power grid environment on the operation of the energy storage device and better cope with changes in the power grid environment.

[0045] In one implementation, a basic function including basic parameters between the current energy storage device parameters and the internal resistance of the energy storage device is constructed based on the function model; the parameter weights of the current energy storage device parameters are used as the corresponding basic parameters in the basic function to obtain a relationship function.

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

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

[0048] As an exemplary embodiment, the values ​​of a, b, c, and d are 0.4, 0.3, 0.2, and 0.1, respectively, and the relationship function is A=0.4V+0.3F+0.2T+0.1G+R.

[0049] In another exemplary embodiment, when the gas state is stable, the gas information is 0, that is, G=0, and the relationship function is A=0.4V+0.3F+0.2T+R.

[0050] Among them, the parameter change with a larger weight value has a greater impact 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 relationship function is proposed, which can clarify the influence of weight parameters on various energy storage device parameters, and further clarify the influence of temperature parameters, frequency parameters, voltage parameters and gas parameters on internal resistance, so as to adjust the operating internal resistance of the energy storage device in real time.

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

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

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

[0055] Specifically, the voltage parameter difference, the temperature parameter difference, the frequency parameter difference and the gas parameter difference are brought into the relationship function, and the adjustment range of the internal resistance of the energy storage device is determined according to the overall reference range.

[0056] The early warning module is used to compare the received multiple operating data of the energy storage device with the corresponding reference values ​​to determine whether they exceed the safety range, and if so, issue an early warning signal.

[0057] The data interaction module is used to generate control information according to 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, the present application determines the importance of the current energy storage device parameters according to the power grid parameters, can determine the relationship function according to the degree of influence of the power grid environment on the operation of the energy storage device, and can respond to changes in the power grid environment in a timely manner. At the same time, the adjustment range of the internal resistance of the energy storage device is further determined based on the difference information between the current energy storage device parameters and the historical energy storage device parameters, and the operating internal resistance of the energy storage device can be adjusted in time according to the current device conditions to improve the adjustment efficiency and accuracy. Among them, by determining the weight parameters according to the importance, it is possible to pay more attention to the impact of the power grid environment on the operation of the energy storage device, and to better respond to changes in the power grid environment. According to the historical energy storage device parameters and the current energy storage device parameters, the adjustment range of the internal resistance of the energy storage device is determined, and the changes in the energy storage device parameters can be comprehensively considered to improve the calculation accuracy of the adjustment range.

[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 of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0060] In this embodiment, a method for adjusting the internal resistance of an energy storage device is provided, which can be used in the above-mentioned internal resistance adjustment system of the energy storage device. Figure 2 is a flow chart 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 there are substantially the same results, this embodiment is not limited to Figure 2 The process sequence shown is limited. Figure 2 As shown, the process includes the following steps:

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

[0062] Among them, the 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, the current frequency parameter, the current temperature parameter, and the current gas parameter, respectively.

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

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

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

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

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

[0069] The relationship function can describe the relationship between each current energy storage device parameter and the internal resistance of the energy storage device, and the importance is used as the parameter weight corresponding to the current energy storage device parameter in the relationship function. The higher the importance, the greater the impact on the internal resistance of the energy storage device.

[0070] Step S204, determining an 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 adjusting the internal resistance based on the adjustment range.

[0071] The remote monitoring 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 can determine the importance of the current energy storage device parameters according to the power grid parameters, determine the relationship function according to the degree of influence of the power grid environment on the operation of the energy storage device, and can respond to changes in the power grid environment in a timely manner. At the same time, the adjustment range of the internal resistance of the energy storage device is further determined according to the difference information between the current energy storage device parameters and the historical energy storage device parameters, and the operating internal resistance of the energy storage device can be adjusted in time according to the current device conditions, thereby improving the adjustment efficiency and accuracy.

[0073] In this embodiment, a method for adjusting the internal resistance of an energy storage device is provided, which can be used in the above-mentioned internal resistance adjustment system of the energy storage device. Figure 3 is a flow chart 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 there are substantially the same results, this embodiment is not limited to Figure 3 The process sequence shown is limited. Figure 3 As shown, the process includes the following steps:

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

[0075] Among them, the grid parameters include voltage parameters, frequency parameters, temperature parameters and gas parameters.

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

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

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

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

[0080] Specifically, the above step S302 includes:

[0081] Step S3021, determining current power grid environment information based on current power grid parameters.

[0082] Among them, the current power grid environment information includes ambient temperature stability, voltage stability, frequency stability, gas status, etc.

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

[0084] The remote monitoring 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. Further, the corresponding current grid parameters are determined to have an impact on the operation of the energy storage device based on the ambient temperature stability, voltage stability, frequency stability, gas state, etc., and weights are set for the current energy storage device parameters based on the impact. The greater the impact, the greater the weight.

[0085] Step S3023: Using the weight of the current grid parameter as the parameter weight of the current energy storage device parameter.

[0086] Weights are set for the voltage information, frequency information, temperature information and gas information of the current energy storage device respectively.

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

[0088] Specifically, the above step S303 includes:

[0089] Step S3031, constructing a basic function including 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: taking the parameter weights of the current energy storage device parameters as the corresponding basic parameters in the basic function to obtain the relationship function.

[0091] In one implementation, a basic function including basic parameters is constructed as A=c1V+c2F+c3T+c-4G+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, R is the internal resistance of the energy storage device, and c1, c2, c3 and c4 are basic parameters.

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

[0093] As an exemplary embodiment, the values ​​of a, b, c, and d are 0.4, 0.3, 0.2, and 0.1, respectively, and the relationship function is A=0.4V+0.3F+0.2T+0.1G+R.

[0094] In another exemplary embodiment, when the gas state is stable, the gas information is 0, that is, G=0, and the relationship function is A=0.4V+0.3F+0.2T+R.

[0095] Step S304, determining an 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 adjusting the internal resistance based on the adjustment range.

[0096] Specifically, the above step S304 includes:

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

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

[0099] Step S3043, adjusting the internal resistance based on the adjustment range.

[0100] The method for adjusting the internal resistance of an energy storage device provided in this embodiment determines the importance of the current energy storage device parameters according to the power grid parameters, and can determine the relationship function according to the degree of influence of the power grid environment on the operation of the energy storage device, so as to respond to changes in the power grid environment in a timely manner. At the same time, the adjustment range of the internal resistance of the energy storage device is further determined based on the difference information between the current energy storage device parameters and the historical energy storage device parameters, and the operating internal resistance of the energy storage device can be adjusted in time according to the current device conditions, thereby improving the adjustment efficiency and accuracy. Among them, by determining the weight parameters according to the importance, it is possible to pay more attention to the influence of the power grid environment on the operation of the energy storage device, and to better respond to changes in the power grid environment. By determining the adjustment range of the internal resistance of the energy storage device based on the historical energy storage device parameters and the current energy storage device parameters, it is possible to comprehensively consider the changes in the parameters of the energy storage device and improve the calculation accuracy of the adjustment range.

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

[0102] The embodiment of the present invention also provides a computer device having the above Figure 1 The internal resistance regulating device of the energy storage device is shown.

[0103] See also Figure 4 , Figure 4 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 4 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.

[0104] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0105] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0106] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0107] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a 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, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0109] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0110] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0111] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0112] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all 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 comprises: Obtain current grid parameters, current energy storage device parameters, and historical energy storage device parameters; Determine the importance of each of the current energy storage device parameters based on the current power grid parameters; Constructing a relationship function between each of the current energy storage device parameters and the internal resistance of the energy storage device based on the importance; An adjustment range of the internal resistance of the energy storage device is determined based on the relationship function, the current energy storage device parameter and the historical energy storage device parameter, 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: Determining the importance of each current energy storage device parameter based on the current power grid parameter includes: Determine current power grid environment information based on the current power grid parameters; Determine the importance of the current power grid parameter based on the power grid environment information and determine the weight of each current power grid parameter, wherein the higher the importance, the greater the corresponding weight; The weight of the current power grid parameter is used as the parameter weight of the current energy storage device parameter.

3. The method for adjusting the internal resistance of an energy storage device according to claim 2, characterized in that: The constructing of the relationship function between each of the current energy storage device parameters and the internal resistance of the energy storage device based on the importance includes: Constructing a basic function including basic parameters between the current energy storage device parameters and the internal resistance of the energy storage device based on the function model; The parameter weights of the various current energy storage device parameters are used as the corresponding basic parameters 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 parameter weights of the current energy storage device parameters are used as the corresponding basic parameters in the basic function to obtain the relationship function, which 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; Among them, 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.

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

7. An energy storage device internal resistance adjustment system, characterized in that: The system comprises: The power grid environment monitoring module is used to obtain current power grid parameters; The energy storage device management module is used to obtain current energy storage device parameters and historical energy storage device parameters, and adjust the internal resistance of the energy storage device based on the adjustment range; A remote monitoring processing module is used to determine the importance of each current energy storage device parameter based on the current power grid parameter; 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 determine the adjustment range of the internal resistance of the energy storage device based on the relationship function, the current energy storage device parameter and the historical energy storage device parameter.

8. A computer device, characterized in that: include: 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 method for regulating the internal resistance of an energy storage device according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for adjusting the internal resistance of an energy storage device according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to enable a computer to execute the method for adjusting the internal resistance of an energy storage device according to any one of claims 1 to 6.

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