Energy storage equipment parameter model updating method, system and related device

Abstract

The invention relates to the technical field of energy storage, and discloses an energy storage equipment parameter model updating method and system and a related device. The energy storage equipment parameter model updating method comprises the steps that target parameters are acquired based on power grid environment information and parameter information, the target parameters comprise power grid parameters and related abnormal parameters, and the power grid parameters are parameters of a current power grid environment model acquired when the power grid environment changes; the related abnormal parameters are abnormal parameters obtained when the power grid environment is not changed and the parameters are abnormal; performing related data acquisition based on the target parameter to obtain acquired data; screening the collected data according to the type of the target parameter to obtain target data corresponding to the target parameter; and determining a corresponding updating strategy according to the target data and the type of the target parameter, and updating the corresponding energy storage equipment parameter model by using the updating strategy. The method can solve the problem that the power grid environment affects the prediction accuracy of the energy storage equipment parameter model, and improves the benefits.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a method, system and related device for updating a parameter model of an energy storage device. Background Art

[0002] With the continuous depletion of fossil energy, the importance of new energy, especially photovoltaic energy, is increasing worldwide. Since photovoltaic energy is easily affected by the surrounding environment and weather such as light, temperature and humidity, there are great problems in the trading and scheduling of photovoltaic energy. Therefore, the participation of photovoltaic power stations in transactions must rely on the prediction results of future photovoltaic power station power.

[0003] With the continuous development of computers and artificial intelligence algorithms, the prediction of future photovoltaic power is achieved through energy storage prediction models. In the existing technology, the model is usually trained with the prediction accuracy as the goal, and the energy storage device model is used to monitor and adjust the energy storage device.

[0004] When using existing technologies to make predictions with prediction accuracy as the goal, it is impossible to take into account changes in the power grid environment. This means that using fixed models for calculations and predictions often fails to maximize the benefits of photovoltaic energy storage equipment. Summary of the invention

[0005] In view of this, the present invention provides a method, system and related devices for updating a parameter model of an energy storage device to solve the problem that the power grid environment affects the prediction accuracy of the parameter model of the energy storage device and improve the efficiency.

[0006] In a first aspect, the present invention provides a method for updating a parameter model of an energy storage device, the method comprising: acquiring target parameters based on power grid environment information and parameter information, the target parameters comprising power grid parameters and related abnormal parameters, the power grid parameters being parameters of a model of a current power grid environment acquired when the power grid environment changes, and the related abnormal parameters being abnormal parameters acquired when the power grid environment does not change and the parameters are abnormal; performing relevant data collection based on the target parameters to obtain collected data, the collected data comprising historical collected data and future collected data of the target parameters; screening the collected data according to the type of the target parameters to obtain target data corresponding to the target parameters; determining a corresponding update strategy according to the types of the target data and the target parameters, and using the update strategy to update the corresponding energy storage device parameter model.

[0007] In this implementation, the application collects different target parameters according to whether the power grid environment has changed. When the power grid environment has changed, all parameters are collected. When the power grid environment has not changed but there are abnormal parameters, only abnormal parameters are collected. The historical parameters and future parameters are determined according to the collected target parameters, and the energy storage device parameter model is updated according to the parameter data changes. It can consider the parameter changes in different situations, solve the problem that the power grid environment affects the prediction accuracy of the energy storage device parameter model, and improve efficiency.

[0008] In an optional embodiment, based on the power grid environment information and parameter information, obtaining the target parameters includes: detecting whether the power grid environment information has changed; when the power grid environment information has changed, obtaining the power grid parameters of the current power grid environment; when the power grid environment information has not changed and the parameter information of the energy storage device is abnormal, obtaining the device-related abnormal parameters; when the power grid environment information has not changed and the power grid parameter information is abnormal, obtaining the power grid-related abnormal parameters.

[0009] In this implementation, different parameters are obtained for different power grid environments and different abnormal situations, which can cope with a variety of real-world problems and improve the accuracy of subsequent model updates.

[0010] In an optional implementation, relevant data is collected based on the target parameters to obtain the collected data, including: when the power grid environment information changes, collecting key parameters of the current energy storage device; comparing the key parameters with historical key parameters, and when the key parameters change, obtaining the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters; collecting relevant data based on the change parameters to obtain the collected data.

[0011] In an optional implementation, relevant data is collected based on the target parameters to obtain the collected data, including: when the power grid environment information has not changed and the parameter information of the energy storage device is abnormal, the corresponding power grid environment parameters are determined based on the device-related abnormal parameters; relevant data is collected based on the network environment parameters to obtain the collected data.

[0012] In an optional implementation, relevant data is collected based on the target parameters to obtain the collected data, including: when the power grid environment information has not changed and the power grid parameter information is abnormal, collecting the key parameters of the current energy storage device; when the key parameters change within a first preset time period, obtaining the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters; and collecting relevant data based on the change parameters to obtain the collected data.

[0013] In this implementation, different grid environments and different abnormal situations are judged separately and data is collected separately, which can deal with a variety of real-world problems and improve the accuracy of subsequent model updates.

[0014] In an optional implementation, the collected data is screened according to the type of target parameter to obtain target data corresponding to the target parameter, including: when the power grid environment information changes, the future collected data is used as the target data; when the power grid environment information has not changed and the parameter information of the energy storage device is abnormal, the collected data is used as the target data; when the power grid environment information has not changed and the power grid parameter information is abnormal, the historical collected data is used as the target data.

[0015] In this implementation, different data are selected from the collected data as target data to determine subsequent update strategies according to the characteristics of different power grid environments and different abnormal situations, which can improve data utilization.

[0016] In an optional implementation, a corresponding update strategy is determined according to the types of target data and target parameters, and using the update strategy to update the corresponding energy storage device parameter model includes: obtaining the type of the target parameter, which includes a fixed value, a regularly changing value, and an irregularly changing value; when the target parameter is a fixed value, updating the parameter value to obtain an updated energy storage device parameter model; when the target parameter is a regularly changing value, updating the logical parameters in the parameter mapping relationship based on the new rule to obtain an updated energy storage device parameter model; when the target parameter is an irregularly changing value, updating the probability model in the parameter mapping relationship based on the new probability value to obtain an updated energy storage device parameter model.

[0017] In this implementation, corresponding update strategies are determined for different target parameter types, and the most suitable strategy can be selected according to data characteristics, which can improve the accuracy of model updates and increase benefits.

[0018] In a second aspect, the present invention provides a system for updating a parameter model of an energy storage device, which includes a parameter monitoring module for acquiring target parameters based on power grid environment information and parameter information, the target parameters including power grid parameters and related abnormal parameters, the power grid parameters being parameters of a model of a current power grid environment acquired when the power grid environment changes, and the related abnormal parameters being abnormal parameters acquired when the power grid environment does not change and the parameters are abnormal; a parameter acquisition module for acquiring relevant data based on the target parameters to acquire acquired data, the acquired data including historical acquired data and future acquired data of the target parameters; a parameter analysis module for screening the acquired data according to the type of the target parameters to acquire the target data corresponding to the target parameters; determining the corresponding update strategy according to the types of the target data and the target parameters; and a model update module for updating the corresponding energy storage device parameter model using the update strategy.

[0019] 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 energy storage device parameter model updating method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0020] 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 energy storage device parameter model updating method of the first aspect or any corresponding embodiment thereof.

[0021] 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 energy storage device parameter model updating method of the above-mentioned first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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.

[0023] Figure 1 is a schematic diagram of a system for updating a parameter model of an energy storage device according to an embodiment of the present invention;

[0024] Figure 2 is a flow chart of a method for updating a parameter model of an energy storage device according to an embodiment of the present invention;

[0025] Figure 3 is a flow chart of another method for updating a parameter model of an energy storage device according to an embodiment of the present invention;

[0026] 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

[0027] 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.

[0028] According to an embodiment of the present invention, a system for updating a parameter model of an energy storage device is provided. Figure 1 , Figure 1 1 is a schematic diagram of a parameter model updating system for energy storage devices according to an embodiment of the present invention. The parameter model updating system for energy storage devices includes a parameter monitoring module, a parameter acquisition module, a parameter analysis module and a parameter updating module.

[0029] The parameter monitoring module is used to obtain target parameters based on the power grid environment information and parameter information. The target parameters include power grid parameters and related abnormal parameters. The power grid parameters are the parameters of the model of the current power grid environment obtained when the power grid environment changes. The related abnormal parameters are the abnormal parameters obtained when the power grid environment does not change and the parameters are abnormal. The parameter monitoring module is also used to send the target parameters to the parameter analysis module.

[0030] Among them, the target parameters are the grid parameters and environmental parameters used when constructing the energy storage device parameter model, such as voltage, current, temperature, etc.

[0031] Specifically, it is detected whether the power grid environment information has changed, such as whether another power grid has been switched or whether the environment has changed.

[0032] In one implementation, when the power grid environment information changes, the parameter monitoring module detects all parameters related to the model of the current power grid environment in real time to obtain the power grid parameters of the current power grid environment, and sends the power grid parameters to the parameter analysis module.

[0033] In one implementation, when the grid environment information has not changed, but one or more of the energy storage device parameter information is abnormal, the parameter monitoring module detects and obtains the abnormal parameters related to the model of the current device in real time, obtains the device-related abnormal parameters, and sends the device-related abnormal parameters to the parameter analysis module.

[0034] In one implementation, when the power grid environment information has not changed and one or more power grid parameter information is abnormal, the parameter monitoring module detects and obtains abnormal parameters related to the model of the current power grid environment in real time to obtain power grid related abnormal parameters, and sends the power grid related abnormal parameters to the parameter analysis module.

[0035] In one implementation, the parameter monitoring module obtains the target parameter at a preset time interval and sends the target parameter to the parameter analysis module.

[0036] In this implementation, different parameters are obtained for different power grid environments and different abnormal situations, which can cope with a variety of real-world problems and improve the accuracy of subsequent model updates.

[0037] The parameter analysis module is used to perform comparative analysis based on the received target parameters to determine whether there are parameter changes or parameter abnormalities, generate acquisition instructions based on the judgment results, and send the acquisition instructions to the parameter acquisition module. The parameter acquisition module collects historical acquisition data and future acquisition data of the target parameters according to the acquisition instructions, and sends the collected acquisition data to the parameter detection module.

[0038] In one implementation, when the power grid environment information changes, key parameters of the current energy storage device are collected and compared with historical key parameters. When the key parameters change, the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters are obtained, and relevant data are collected based on the change parameters to obtain collected data.

[0039] Specifically, when the power grid environment changes, the parameter analysis module receives the model-related power grid parameters sent by the parameter monitoring module, and compares them one by one with the corresponding power grid parameters before the power grid environment changes, determines all the changed parameters, and at the same time, collects the key parameters of the current energy storage equipment, such as efficiency, storage capacity, etc. If any key parameter changes, a collection instruction is generated based on the changed parameter information and sent to the parameter collection module; if no key parameter changes, no collection instruction is generated and sent.

[0040] In one implementation, when the grid environment information has not changed and the parameter information of the energy storage device is abnormal, the corresponding grid environment parameters are determined based on the device-related abnormal parameters; relevant data is collected based on the grid environment parameters to obtain collected data.

[0041] Specifically, when the power grid environment information has not changed, but one or more of the energy storage device parameter information is abnormal, the parameter analysis module receives the device-related abnormal parameters of the energy storage device model sent by the parameter monitoring module, determines the power grid environment parameters corresponding to the device-related abnormal parameters based on the energy storage device model, and generates a collection instruction based on the power grid environment parameter information corresponding to the device-related abnormal parameters, and sends it to the parameter collection module.

[0042] In one implementation, when the grid environment information has not changed and the grid parameter information is abnormal, the key parameters of the current energy storage device are collected; when the key parameters change within a first preset time period, the change parameters of the grid parameters of the current grid environment and the historical grid parameters are obtained; relevant data collection is performed based on the change parameters to obtain collected data.

[0043] Specifically, when the grid environment information has not changed, but one or more grid parameter information is abnormal, the parameter analysis module receives the grid-related abnormal parameters of the energy storage device model sent by the parameter monitoring module, and monitors the key parameters of the energy storage device in real time for a certain period of time. If there is no change within the specified time, no collection instruction is generated and sent; if there is a change within the specified time, a collection instruction is generated for the changed parameter information and sent to the parameter collection module.

[0044] In this implementation, different grid environments and different abnormal situations are judged separately and data is collected separately, which can deal with a variety of real-world problems and improve the accuracy of subsequent model updates.

[0045] The parameter collection module is used to collect relevant data based on the target parameters to obtain collected data, wherein the collected data includes historical collected data and future collected data of the target parameters.

[0046] Specifically, the acquisition instruction includes the target parameter and the time range of historical data and the time range of future data. The parameter detection and acquisition module obtains the historical acquisition data of the target parameter within the time range of historical data according to the target parameter and the time range, and obtains the future acquisition data of the target parameter within the time range of future data according to the target parameter and the time range.

[0047] Among them, the parameter analysis module is used to filter the collected data according to the type of target parameters to obtain target data corresponding to the target parameters.

[0048] Specifically, the target parameters include power grid parameters, equipment-related abnormal parameters, and power grid-related abnormal parameters.

[0049] In one implementation, when the power grid environment changes, historically collected data of the power grid change parameters cannot be used, and future collected data is screened out as target data for subsequent analysis and model updating.

[0050] In one implementation, when the grid environment information has not changed but one or more of the energy storage device parameter information is abnormal, both the historical and future collected data of the grid environment parameters can be used, and all collected data are used as target data for subsequent analysis and model update.

[0051] In one implementation, when the power grid environment information has not changed and the power grid parameter information is abnormal, the future collected data of the power grid environment parameters is incorrect, and the historical collected data is screened out as target data for subsequent analysis and model update.

[0052] In this implementation, different data are selected from the collected data as target data to determine subsequent update strategies according to the characteristics of different power grid environments and different abnormal situations, which can improve data utilization.

[0053] Among them, the parameter analysis module is used to determine the corresponding update strategy according to the types of target data and target parameters.

[0054] Specifically, the types of target parameters include fixed values, regularly changing values, and irregularly changing values.

[0055] In one implementation, when the target parameter is a fixed value, the parameter value is updated to obtain an updated energy storage device parameter model.

[0056] Specifically, for the parameter mapping corresponding to the fixed value, the previous parameter mapping relationship remains unchanged, and only the parameter value is changed to obtain the corresponding energy storage parameter.

[0057] In one implementation, when the target parameter is a regularly changing value, the logical parameters in the parameter mapping relationship are updated based on the new rule to obtain an updated energy storage device parameter model.

[0058] Specifically, for the parameter mapping corresponding to the regular change value, the logical coefficients in the parameter mapping relationship are updated based on the new regularity.

[0059] In one implementation, when the target parameter is an irregularly changing value, the probability model in the parameter mapping relationship is updated based on the new probability value to obtain an updated energy storage device parameter model.

[0060] Specifically, for parameter mappings corresponding to irregularly changing values, the probability model in the parameter mapping relationship is updated based on the new probability value.

[0061] In this implementation, corresponding update strategies are determined for different target parameter types, and the most suitable strategy can be selected according to data characteristics, which can improve the accuracy of model updates and increase benefits.

[0062] Among them, the model update module is used to update the corresponding energy storage device parameter model using the update strategy.

[0063] Specifically, the model update module updates the energy storage parameter model according to the update strategy, thereby forming a new energy storage device parameter model, such as updating only one type of parameter mapping information, or simultaneously updating two or all types of parameter mapping information to obtain an updated energy storage parameter model.

[0064] According to an embodiment of the present invention, an embodiment of a method for updating a parameter model 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.

[0065] In this embodiment, a method for updating a parameter model of an energy storage device is provided, which can be used in the above-mentioned energy storage device parameter model updating system. Figure 2 is a flow chart of a method for updating a parameter model 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 does not necessarily refer to Figure 2 The process sequence shown is limited. Figure 2 As shown, the process includes the following steps:

[0066] Step S201, acquiring target parameters based on power grid environment information and parameter information.

[0067] The target parameters include power grid parameters and related abnormal parameters. The power grid parameters are the parameters of the model of the current power grid environment obtained when the power grid environment changes. The related abnormal parameters are the abnormal parameters obtained when the power grid environment does not change and the parameters are abnormal.

[0068] Among them, the target parameters are the grid parameters and environmental parameters used when constructing the energy storage device parameter model, such as voltage, current, temperature, etc.

[0069] Step S202: collect relevant data based on the target parameters to obtain collected data.

[0070] The collected data includes historical collected data and future collected data of target parameters.

[0071] Step S203, screening the collected data according to the type of the target parameter to obtain target data corresponding to the target parameter.

[0072] Step S204, determining a corresponding update strategy according to the types of target data and target parameters, and using the update strategy to update the corresponding energy storage device parameter model.

[0073] In this implementation, the application collects different target parameters according to whether the power grid environment has changed. When the power grid environment has changed, all parameters are collected. When the power grid environment has not changed but there are abnormal parameters, only abnormal parameters are collected. The historical parameters and future parameters are determined according to the collected target parameters, and the energy storage device parameter model is updated according to the parameter data changes. It can consider the parameter changes in different situations, solve the problem that the power grid environment affects the prediction accuracy of the energy storage device parameter model, and improve efficiency.

[0074] In this embodiment, a method for updating a parameter model of an energy storage device is provided, which can be used in the above-mentioned energy storage device parameter model updating system. Figure 3 is a flowchart of another method for updating a parameter model 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 does not necessarily use Figure 3 The process sequence shown is limited. Figure 3 As shown, the process includes the following steps:

[0075] Step S301, acquiring target parameters based on power grid environment information and parameter information.

[0076] Specifically, the above step S301 includes:

[0077] Step S3011, detecting whether the power grid environment has changed.

[0078] Specifically, whether to switch to other power grids or whether the environment changes.

[0079] Step S3012: when the power grid environment changes, obtain the power grid parameters of the current power grid environment.

[0080] Step S3013, when the power grid environment has not changed and the parameters of the energy storage device are abnormal, obtain the device-related abnormal parameters.

[0081] Step S3014, when the power grid environment has not changed and the power grid parameters are abnormal, obtain power grid related abnormal parameters.

[0082] Step S302: collect relevant data based on the target parameters to obtain collected data.

[0083] The collected data includes historical collected data and future collected data of target parameters.

[0084] Specifically, historical collected data of the target parameter within the historical data time range is acquired according to the target parameter and the time range, and future collected data of the target parameter within the future data time range is acquired according to the target parameter and the time range.

[0085] In one implementation, a power grid environment changes.

[0086] Specifically, the above step S302 includes:

[0087] Step S3021, collecting key parameters of the current energy storage device.

[0088] Step S3022, comparing the key parameters with the historical key parameters, when the key parameters change, obtaining the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters.

[0089] Step S3023, collect relevant data based on the change parameters to obtain collected data.

[0090] In one implementation, the power grid environment has not changed, and the parameters of the energy storage device are abnormal.

[0091] Specifically, the above step S302 includes:

[0092] Step S3021, determining corresponding power grid environment parameters based on device-related abnormal parameters.

[0093] Step S3022: collect relevant data based on the network environment parameters to obtain collected data.

[0094] In one implementation, the power grid environment has not changed, and the power grid parameters are abnormal.

[0095] Specifically, the above step S302 includes:

[0096] Step S3021, collecting key parameters of the current energy storage device.

[0097] Step S3022: when the key parameter changes within the first preset time period, the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters are obtained.

[0098] Step S3023, collect relevant data based on the change parameters to obtain collected data.

[0099] Step S303, screening the collected data according to the type of the target parameter to obtain target data corresponding to the target parameter.

[0100] In one implementation, when the power grid environment changes, future collected data is used as target data.

[0101] In one implementation, when the power grid environment has not changed and the parameters of the energy storage device are abnormal, the collected data is used as the target data.

[0102] In one implementation, when the power grid environment has not changed and the power grid parameters are abnormal, the historically collected data is used as the target data.

[0103] Step S304: determining a corresponding update strategy according to the types of target data and target parameters, and using the update strategy to update the corresponding energy storage device parameter model.

[0104] Specifically, the above step S304 includes:

[0105] Step S3041, obtaining the type of the target parameter.

[0106] Step S3042, determining a corresponding update strategy according to the type of the target parameter, and using the update strategy to update the corresponding energy storage device parameter model.

[0107] When the target parameter is a fixed value, the parameter value is updated to obtain an updated energy storage device parameter model;

[0108] When the target parameter is a regularly changing value, the logical parameters in the parameter mapping relationship are updated based on the new law to obtain an updated energy storage device parameter model;

[0109] When the target parameter has an irregularly changing value, the probability model in the parameter mapping relationship is updated based on the new probability value to obtain an updated energy storage device parameter model.

[0110] The energy storage device parameter model update system 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.

[0111] The embodiment of the present invention also provides a computer device having the above Figure 1 The energy storage device parameter model updating system is shown.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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 updating a parameter model of an energy storage device, characterized in that: The method comprises: Based on the power grid environment information and parameter information, the target parameters are acquired, wherein the target parameters include power grid parameters and related abnormal parameters, wherein the power grid parameters are parameters of a model of a current power grid environment acquired when the power grid environment changes, and the related abnormal parameters are abnormal parameters acquired when the power grid environment does not change and the parameters are abnormal; Collect relevant data based on the target parameter to obtain collected data, wherein the collected data includes historical collected data and future collected data of the target parameter; Filtering the collected data according to the type of the target parameter to obtain target data corresponding to the target parameter; A corresponding update strategy is determined according to the target data and the type of the target parameter, and the corresponding energy storage device parameter model is updated using the update strategy.

2. The energy storage device parameter model updating method according to claim 1, characterized in that: The acquiring of target parameters based on the power grid environment information and parameter information includes: Detect whether the power grid environment information has changed; When the power grid environment information changes, obtaining the power grid parameters of the current power grid environment; When the grid environment information has not changed and the energy storage device parameter information is abnormal, obtain the device-related abnormal parameters; When the power grid environment information has not changed and the power grid parameter information is abnormal, the power grid related abnormal parameters are obtained.

3. The energy storage device parameter model updating method according to claim 2, characterized in that: The collecting of relevant data based on the target parameter to obtain the collected data includes: When the grid environment information changes, collect the key parameters of the current energy storage equipment; Comparing the key parameters with historical key parameters, and when the key parameters change, obtaining the change parameters of the power grid parameters of the current power grid environment and the historical power grid parameters; Relevant data collection is performed based on the change parameters to obtain collected data.

4. The energy storage device parameter model updating method according to claim 2, characterized in that: The collecting of relevant data based on the target parameter to obtain the collected data includes: When the power grid environment information has not changed and the energy storage device parameter information is abnormal, determining the corresponding power grid environment parameters based on the device-related abnormal parameters; Relevant data collection is performed based on the network environment parameters to obtain collected data.

5. The energy storage device parameter model updating method according to claim 2, characterized in that: The collecting of relevant data based on the target parameter to obtain the collected data includes: When the grid environment information has not changed and the grid parameter information is abnormal, collect the key parameters of the current energy storage equipment; When the key parameter changes within a first preset time period, obtaining change parameters of the power grid parameters of the current power grid environment and historical power grid parameters; Relevant data collection is performed based on the change parameters to obtain collected data.

6. The energy storage device parameter model updating method according to claim 2, characterized in that: The filtering of the collected data according to the type of the target parameter to obtain the target data corresponding to the target parameter includes: When the power grid environment information changes, the future collected data is used as the target data; When the power grid environment information has not changed and the energy storage device parameter information is abnormal, the collected data is used as the target data; When the power grid environment information has not changed and the power grid parameter information is abnormal, the historically collected data is used as the target data.

7. The energy storage device parameter model updating method according to claim 2, characterized in that: Determining a corresponding update strategy according to the target data and the type of the target parameter, and updating the corresponding energy storage device parameter model using the update strategy includes: Acquire the type of the target parameter, the type including a fixed value, a regularly changing value, and an irregularly changing value; When the target parameter is the fixed value, updating the parameter value to obtain an updated energy storage device parameter model; When the target parameter is the regular change value, the logical parameters in the parameter mapping relationship are updated based on the new regularity to obtain an updated energy storage device parameter model; When the target parameter is the irregularly changing value, the probability model in the parameter mapping relationship is updated based on the new probability value to obtain an updated energy storage device parameter model.

8. A system for updating parameter models of energy storage devices, characterized in that: The system comprises: A parameter monitoring module is used to obtain target parameters based on power grid environment information and parameter information. The target parameters include power grid parameters and related abnormal parameters. The power grid parameters are parameters of a model of a current power grid environment obtained when the power grid environment changes. The related abnormal parameters are abnormal parameters obtained when the power grid environment does not change and the parameters are abnormal. A parameter collection module, used to collect relevant data based on the target parameter to obtain collected data, wherein the collected data includes historical collected data and future collected data of the target parameter; A parameter analysis module, used to screen the collected data according to the type of the target parameter to obtain the target data corresponding to the target parameter; and determine the corresponding update strategy according to the target data and the type of the target parameter; The model updating module is used to update the corresponding energy storage device parameter model using the update strategy.

9. 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 energy storage device parameter model updating method according to any one of claims 1 to 7 by executing the computer instructions.

10. 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 energy storage device parameter model updating method according to any one of claims 1 to 7.

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