Method and device for determining health state of energy storage power supply and computer equipment

Abstract

The invention relates to a health state determination method and device of an energy storage power supply, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a life cycle parameter and a working frequency parameter of an energy storage power supply; electricity storage tracing analysis is carried out on the electric quantity information of the energy storage power supply in the overworking state to obtain an electric quantity storage consumption damage parameter of the energy storage power supply; carrying out storage history summarization analysis on the storage environment information of the energy storage power supply in the storage environment to obtain power supply storage damage parameters of the energy storage power supply; according to the life cycle parameter, the working frequency parameter, the electric quantity storage and consumption damage parameter and the power supply storage damage parameter, the health state information of the energy storage power supply is determined, the health state of the energy storage power supply can be comprehensively and accurately evaluated, and the health state information is obtained.

Description

Technical Field

[0001] The present application relates to the technical field of operation monitoring of energy storage power supplies, and particularly to a method, device, computer device, computer-readable storage medium, and computer program product for determining the health status of an energy storage power supply. Background Art

[0002] An energy storage power supply is a device that can store electrical energy and can provide continuous and stable power supply for devices during power outages or peak power demand periods. An energy storage power supply generally consists of a battery pack, a charging circuit, an inverter, a protection system, etc. With the development of energy technology, energy storage power supplies are increasingly widely used in outdoor operating environments.

[0003] Currently, when an energy storage power supply operates outdoors, it is impossible to reasonably evaluate its power health status, and it is difficult to accurately and comprehensively judge the health status of the energy storage power supply. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for determining the health status of an energy storage power supply that can accurately judge the health status of the energy storage power supply.

[0005] In a first aspect, the present application provides a method for determining the health status of an energy storage power supply, the method comprising:

[0006] Obtain the life cycle parameters and working frequency parameters of the energy storage power supply;

[0007] Conduct a power storage traceability analysis on the power information of the energy storage power supply in an overworked state to obtain the power storage and consumption damage parameter of the energy storage power supply;

[0008] Conduct a storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameter of the energy storage power supply;

[0009] Determine the health status information of the energy storage power supply according to the life cycle parameters, the working frequency parameters, the power storage and consumption damage parameter, and the power storage damage parameter.

[0010] In one of the embodiments, the conducting a power storage traceability analysis on the power information of the energy storage power supply in an overworked state to obtain the power storage and consumption damage parameter of the energy storage power supply includes:

[0011] Determine the overcharge state of the energy storage power supply in previous charging states; the overcharge state includes a first overcharge state where the overcharge duration is greater than or equal to the overcharge duration threshold and a second overcharge state where the overcharge duration is less than the overcharge duration threshold, and the overcharge duration is determined based on the power change information of the energy storage power supply in the overcharge state;

[0012] Respectively determine the first overcharge times of the energy storage power supply in the first overcharge state and the second overcharge times in the second overcharge state, and determine the first overcharge frequency according to the first overcharge times and the second overcharge frequency according to the second overcharge times;

[0013] Determine the over-discharge state of the energy storage power supply in previous non-charging states; the over-discharge state includes a first over-discharge state where the over-discharge duration is greater than or equal to the over-discharge duration threshold and a second over-discharge state where the over-discharge duration is less than the over-discharge duration threshold, and the over-discharge duration is determined based on the power change information of the energy storage power supply in the over-discharge state;

[0014] Respectively determine the first over-discharge times of the energy storage power supply in the first over-discharge state and the second over-discharge times in the second over-discharge state, and determine the first over-discharge frequency according to the first over-discharge times and the second over-discharge frequency according to the second over-discharge times;

[0015] Determine the power storage and consumption damage parameter of the energy storage power supply according to the first overcharge frequency, the second overcharge frequency, the first over-discharge frequency and the second over-discharge frequency.

[0016] In one embodiment, the storage environment information of the energy storage power supply in the storage environment is subjected to storage history summary analysis to obtain the power storage damage parameter of the energy storage power supply, including:

[0017] Determine the power storage condition parameter of the energy storage power supply;

[0018] When the power storage condition parameter meets the preset storage difference analysis trigger condition, determine the single storage difference duration of the energy storage power supply, and determine the total storage difference duration of the energy storage power supply according to the single storage difference duration; the single storage difference duration is determined based on the storage difference start time and the storage difference end time when the storage difference analysis is triggered by the storage environment information;

[0019] Based on the single storage difference duration and the storage difference duration threshold of the energy storage power supply, determine the storage difference frequency of the energy storage power supply;

[0020] Determine the power storage damage parameter of the energy storage power supply according to the total storage difference duration and the storage difference frequency.

[0021] In one embodiment, determining the power storage condition parameters of the energy storage power supply includes:

[0022] Collecting the instantaneous impact force detection data of the energy storage power supply and the electromagnetic intensity data of the storage environment where the energy storage power supply is located;

[0023] Obtaining the environmental state data in the storage environment, analyzing the energy storage power supply based on the environmental state data to obtain environmental performance data, where the environmental performance data is used to characterize the difference between the environmental state data of the energy storage power supply in the storage environment and the preset storage environmental state data;

[0024] Performing radiation corrosion analysis on the radiation state and corrosion state of the energy storage power supply in the storage environment to obtain radiation corrosion data;

[0025] Determining the power storage condition parameters of the energy storage power supply according to the instantaneous impact force detection data, the electromagnetic intensity data, the environmental performance data, and the radiation corrosion data.

[0026] In one embodiment, performing radiation corrosion analysis on the radiation state and corrosion state of the energy storage power supply in the storage environment to obtain radiation corrosion data includes:

[0027] Determining the measured value of the medium concentration of at least one corrosion medium of the energy storage power supply in the storage environment, respectively determining the corrosion measurement value of each corrosion medium for corroding the energy storage power supply according to each measured value of the medium concentration, and determining the corrosion decision value based on each corrosion measurement value;

[0028] Determining the measured value of the radiation intensity of at least one radiation category of the energy storage power supply in the storage environment, respectively determining the radiation measurement value of each radiation category for radiating the energy storage power supply according to each measured value of the radiation intensity, and determining the radiation decision value based on each radiation measurement value;

[0029] Determining the radiation corrosion data according to the corrosion decision value and the radiation decision value.

[0030] In one embodiment, the method further includes:

[0031] Analyzing the operating temperature of the energy storage power supply in the discharge state to obtain temperature analysis data;

[0032] When the temperature analysis data meets the electrical parameter analysis trigger condition, analyzing the operating electrical parameters of the energy storage power supply in the discharge state to obtain electrical parameter analysis data;

[0033] Based on the temperature analysis data and the electrical parameter analysis data, a discharge hazard detection parameter is obtained; the discharge hazard detection parameter is used to characterize the health status information of the energy storage power supply in the discharge state.

[0034] In one embodiment, the method further includes:

[0035] Determine the surface defect area of the energy storage power supply, as well as the area and amplitude corresponding to the surface defect area;

[0036] Based on the area and the amplitude, determine the defect evaluation value of the surface defect area;

[0037] When the defect evaluation value meets the appearance defect analysis trigger condition, determine the number of the surface defect areas and the total area of each surface defect area;

[0038] Based on the number of the surface defect areas and the total area, determine the appearance defect detection parameter; the appearance defect detection parameter is used to characterize the appearance health status information of the energy storage power supply.

[0039] In a second aspect, the present application further provides a device for determining the health status of an energy storage power supply, the device includes:

[0040] A parameter acquisition module, configured to acquire the life cycle parameter and the working frequency parameter of the energy storage power supply;

[0041] A first analysis module, configured to perform electricity storage traceability analysis on the electricity information of the energy storage power supply in the overworking state, to obtain the electricity storage and consumption damage parameter of the energy storage power supply;

[0042] A second analysis module, configured to perform storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment, to obtain the power storage damage parameter caused by the storage of the energy storage power supply;

[0043] A status determination module, configured to determine the health status information of the energy storage power supply according to the life cycle parameter, the working frequency parameter, the electricity storage and consumption damage parameter, and the power storage damage parameter caused by the storage.

[0044] In a third aspect, the present application further provides a computer device, including a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps of the method described above are implemented.

[0045] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described above are implemented.

[0046] Fifth aspect, the present application further provides a computer program product, including a computer program, which when executed by a processor implements the steps of the method described above.

[0047] The above method, device, computer device, computer-readable storage medium, and computer program product for determining the health state of an energy storage power supply obtain the life cycle parameters and operating frequency parameters of the energy storage power supply; perform power storage traceability analysis on the power information of the energy storage power supply in an overworking state to obtain the power storage and consumption damage parameters of the energy storage power supply; perform storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameters caused by the storage of the energy storage power supply; determine the health state information of the energy storage power supply according to the life cycle parameters, operating frequency parameters, power storage and consumption damage parameters, and power storage damage parameters caused by storage; through power storage traceability analysis and storage history summary analysis of the energy storage power supply, the impacts of the overworking state and storage environment on the energy storage battery can be quantified into power storage and consumption damage parameters and power storage damage parameters caused by storage, which is beneficial to objectively analyzing the impacts of the overworking state and storage environment on the energy storage battery. Moreover, by further analyzing multi-dimensional data such as the life cycle, operating frequency, power storage and consumption damage, and storage state of the energy storage power supply, the health state of the energy storage power supply can be comprehensively and accurately evaluated, which is beneficial to improving the accuracy of judging the health state of the energy storage power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0049] Figure 1 It is an application environment diagram of the method for determining the health state of an energy storage power supply in an embodiment;

[0050] Figure 2 It is a schematic flowchart of the method for determining the health state of an energy storage power supply in an embodiment;

[0051] Figure 3 It is a schematic flowchart of step 202 in an embodiment;

[0052] Figure 4 It is a structural block diagram of the device for determining the health state of an energy storage power supply in an embodiment;

[0053] Figure 5 It is an internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] In order to make the objectives, technical solutions, and advantages of the present application more clear and understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] The method for determining the health status of the energy storage power supply provided by the embodiment of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or can be placed in the cloud or other network servers. The server 104 obtains the life cycle parameters and working frequency parameters of the energy storage power supply; then, it performs power storage traceability analysis on the power information of the energy storage power supply in the overworking state to obtain the power storage and consumption damage parameters of the energy storage power supply, and performs storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameters of the energy storage power supply; finally, the server 104 determines the health status information of the energy storage power supply according to the life cycle parameters, working frequency parameters, power storage and consumption damage parameters, and power storage damage parameters.

[0056] Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0057] In an exemplary embodiment, as Figure 2 shown, a method for determining the health status of an energy storage power supply is provided. Taking the method applied to the Figure 1 server 104 in as an example for illustration, it can be understood that the method can also be applied to the Figure 1 terminal 102 in, and can also be applied to a system including the terminal 102 and the server 104, which is realized through the interaction between the terminal 102 and the server 104. The method of this embodiment includes the following steps 201 to step 204. Among them:

[0058] Step 201, obtain the life cycle parameters and working frequency parameters of the energy storage power supply.

[0059] Among them, an energy storage power supply is usually a device used to provide power support during peak power demand or grid failures to balance the instability of power supply and demand. The energy storage power supply can be a mobile energy storage power supply for outdoor power supply or a fixed power supply for indoor, factory, and building use.

[0060] Among them, the life cycle parameter refers to the elapsed time from the production date or factory date of the energy storage power supply to the current date. By analyzing the life cycle parameter, the service life, performance degradation degree, etc. of the energy storage power supply can be understood; if the life cycle parameter is smaller, it means the energy storage power supply is newer, its remaining service life is longer, and the corresponding performance degradation degree may be smaller. Conversely, if the life cycle parameter is larger, it means the energy storage power supply is older, the remaining service life is shorter, and the performance degradation degree may be larger. Specifically, the life cycle parameter can be determined according to the instruction input by the user or can be determined in real time based on the production date or factory date and the current date in the server.

[0061] Among them, the working frequency parameter refers to the frequency of charging and discharging of the energy storage power supply during the period corresponding to the life cycle parameter, which is used to reflect the usage frequency and activity of the energy storage power supply; specifically, the working frequency parameter can be at least one of the charging frequency parameter and the discharging frequency parameter. If the working frequency is larger, it means the energy storage power supply is used more frequently and its activity is also higher. Conversely, if the working frequency is smaller, it means the energy storage power supply is used less frequently and its activity is also lower. Specifically, the working frequency parameter can be determined by the number of charging times, discharging times, and usage times of the energy storage power supply within a certain period of time or can be determined according to the charge-discharge cycle times of the energy storage power supply.

[0062] Exemplarily, the server obtains the life cycle parameter and the working frequency parameter of the energy storage power supply.

[0063] Step 202, conduct a power storage traceability analysis on the power information of the energy storage power supply in the overworking state to obtain the power storage and consumption damage parameter of the energy storage power supply.

[0064] Among them, the overworking state refers to the working state when the voltage, current, or power of the energy storage power supply exceeds the designed limit value during the charge-discharge process. The overworking state usually includes two states: overcharging and over-discharging.

[0065] Among them, the power information refers to the power information in the overworking state. For the power storage traceability analysis, it is necessary to monitor the real-time power of the energy storage power supply in real time.

[0066] Among them, power storage traceability analysis refers to the process of recording and analyzing the power information of a energy storage power supply during use to evaluate the power storage performance and loss of the battery. Through power storage traceability analysis, the power storage and consumption damage parameters of the energy storage power supply can be obtained for evaluating the health status of the energy storage power supply.

[0067] Among them, the power storage and consumption damage parameter refers to the damage condition of the energy storage power supply during the power storage and release processes obtained through power storage traceability analysis, which is used to evaluate the storage efficiency and performance stability of the energy storage power supply.

[0068] Exemplarily, the server determines the overworking state type of the energy storage power supply, and conducts power storage traceability analysis on the power information of the energy storage power supply in the corresponding overworking state type to obtain the power storage and consumption damage parameter of the energy storage power supply, which is then used as an indicator for evaluating the health status of the energy storage power supply.

[0069] Step 203: Conduct a summary analysis of the storage history of the storage environment information of the energy storage power supply in the storage environment to obtain the power supply storage damage parameter of the energy storage power supply.

[0070] Among them, the storage environment refers to the environment when the energy storage power supply is placed or stored. The storage environment information refers to the environmental factor information in the storage environment where the energy storage power supply is located, including but not limited to temperature, humidity, vibration, external force, radiation, corrosion, etc.

[0071] Among them, the summary analysis of the storage history refers to the process of recording and analyzing the environmental information of the energy storage power supply during storage to evaluate its impact on the battery performance and service life.

[0072] Among them, the power supply storage damage parameter refers to the performance decline or damage condition of the energy storage power supply caused by environmental factors during storage obtained through the summary analysis of the storage history, which is used to evaluate the impact of the storage environment and storage conditions of the power supply on the performance of the energy storage power supply, and is then used as an indicator for evaluating the health status of the energy storage power supply.

[0073] Exemplarily, the server determines the storage environment of the energy storage power supply and obtains the corresponding storage environment information. Subsequently, the server conducts a summary analysis of the storage history for the storage environment information to obtain the power supply storage damage parameter of the energy storage power supply.

[0074] Step 204: Determine the health status information of the energy storage power supply according to the life cycle parameter, working frequency parameter, power storage and consumption damage parameter, and power supply storage damage parameter.

[0075] Among them, the health status information is determined by comprehensively considering the life cycle parameters, working frequency parameters, power storage and consumption damage parameters, and power storage damage parameters. The health status information is used to evaluate the current overall health status of the energy storage power supply. Specifically, in implementation, the health status information can be obtained by weighting, splicing, summing, etc. the life cycle parameters, working frequency parameters, power storage and consumption damage parameters, and power storage damage parameters to obtain a health status parameter, and the health status information of the energy storage power supply can be determined through the health status parameter.

[0076] In this embodiment, taking weighted determination as an example, the server obtains or determines the weights corresponding to the life cycle parameters, working frequency parameters, power storage and consumption damage parameters, and power storage damage parameters respectively. Subsequently, the server multiplies the life cycle parameters, working frequency parameters, power storage and consumption damage parameters, and power storage damage parameters by their respective corresponding weights and then sums them to obtain the health status parameter, and determines the health status information of the energy storage power supply accordingly.

[0077] Among them, the health status parameter is expressed as:

[0078] (1)

[0079] Among them, is the health status parameter, are the life cycle parameters, working frequency parameters, power storage damage parameters, and power storage and consumption damage parameters respectively, are the weights corresponding to the life cycle parameters, working frequency parameters, power storage damage parameters, and power storage and consumption damage parameters respectively.

[0080] In an optional embodiment, when determining the health state of the energy storage power supply, for the life cycle parameters, by setting a life cycle threshold and comparing the life cycle parameters with the life cycle threshold, if the life cycle parameters exceed the life cycle threshold, it indicates that the health state of the energy storage power supply is unqualified. Similarly, for the operating frequency parameters, by setting an operating frequency threshold and comparing the operating frequency parameters with the operating frequency threshold, if the operating frequency parameters exceed the operating frequency threshold, it indicates that the health state of the energy storage power supply is unqualified; conversely, if the life cycle parameters do not exceed the life cycle threshold and the operating frequency parameters do not exceed the operating frequency threshold, the health state can be further determined through subsequent power storage traceability analysis and storage history summary analysis; and it is ensured that the finally determined health state information can be used to give an early warning of the health state of the energy storage power supply, that is, by setting at least one of the health state early warning threshold and the health state alarm threshold and comparing the health state parameters of the energy storage power supply with the health state early warning threshold and the health state alarm threshold, if the health state parameters exceed the health state early warning threshold, the health state of the energy storage power supply is given a threshold to prompt the user in advance of possible health risks of the energy storage power supply and take corresponding measures in a timely manner. If the health state parameters exceed the health state alarm threshold, the health state of the energy storage battery is alarmed to prompt the user that the health state of the energy storage power supply is poor and to perform maintenance, replacement, etc. in a timely manner.

[0081] In the above method for determining the health state of the energy storage power supply, by obtaining the life cycle parameters and operating frequency parameters of the energy storage power supply; performing power storage traceability analysis on the power information of the energy storage power supply in the overworking state to obtain the power storage and consumption damage parameters of the energy storage power supply; performing storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameters caused by the storage of the energy storage power supply; determining the health state information of the energy storage power supply according to the life cycle parameters, operating frequency parameters, power storage and consumption damage parameters, and power storage damage parameters caused by storage; through power storage traceability analysis and storage history summary analysis of the energy storage power supply, the impacts of the overworking state and storage environment on the energy storage battery can be quantified into power storage and consumption damage parameters and power storage damage parameters caused by storage, which is conducive to objectively analyzing the impacts of the overworking state and storage environment on the energy storage battery. Moreover, by further analyzing multi-dimensional data such as the life cycle, operating frequency, power storage and consumption damage, and storage state of the energy storage power supply, the health state of the energy storage power supply can be comprehensively and accurately evaluated, which is conducive to improving the accuracy of judging the health state of the energy storage power supply.

[0082] In one embodiment, as Figure 3 shown, step 202 includes:

[0083] Step 301, determining the overcharging state of the energy storage power supply in each charging state.

[0084] Among them, the previous charging states refer to all historical charging states between the production date or factory date of the energy storage power supply and the current date.

[0085] Among them, the overcharging state refers to the state where, when the energy storage power supply is in the charging state, the real-time power of the energy storage power supply continues to charge after exceeding the preset charging amount threshold. The overcharging state includes a first overcharging state and a second overcharging state. The first overcharging state refers to the discharging state where the overcharging duration is greater than or equal to the overcharging duration threshold, and the second overcharging state refers to the discharging state where the overcharging duration is less than the overcharging duration threshold.

[0086] Among them, the overcharging duration refers to the time length during which the energy storage power supply is in the overcharging state, and the overcharging duration can be determined based on the power change information of the energy storage power supply in the overcharging state.

[0087] In an exemplary embodiment, the overcharging duration is determined based on the overcharging start time and the charging end time of the energy storage power supply in each charging state; the overcharging start time refers to the moment when the real-time power of the energy storage power supply during the charging process reaches the preset charging amount threshold, and the charging end time refers to the moment when the energy storage power supply ends the current charging process.

[0088] Specifically, for the previous charging states, the server respectively collects the real-time power of the energy storage power supply in each charging state, and compares the real-time power with the preset charging amount threshold of the energy storage power supply. When it is collected that the real-time power of the energy storage power supply reaches the preset charging amount threshold, this moment is marked as the overcharging start time, and the moment when the current charging operation ends is marked as the charging end time. The overcharging duration is determined based on the overcharging start time and the charging end time; subsequently, the server respectively compares the overcharging duration in each overcharging state with the overcharging duration threshold. If the overcharging duration in a certain charging state is greater than or equal to the overcharging duration threshold, then this charging state is marked as the first overcharging state. If the overcharging duration in a certain charging state is less than the overcharging duration threshold, then this charging state is marked as the second overcharging state, until all the first overcharging states and second overcharging states in the previous charging states are obtained.

[0089] Step 302: Respectively determine the first overcharging times of the energy storage power supply in the first overcharging state and the second overcharging times in the second overcharging state, and determine the first overcharging frequency according to the first overcharging times and the second overcharging frequency according to the second overcharging times.

[0090] Wherein, the first overcharge count refers to the number of times of the first overcharge state in the previous charging states of the energy storage power supply; the second overcharge count refers to the number of times of the second overcharge state in the previous charging states of the energy storage power supply. The first overcharge frequency refers to the occurrence frequency of the first overcharge state in the previous charging states of the energy storage power supply; the second overcharge frequency refers to the occurrence frequency of the second overcharge state in the previous charging states of the energy storage power supply. In specific implementation, the first overcharge frequency can be the occurrence frequency of the first overcharge state relative to the number of all charging states, or the occurrence frequency relative to the number of all overcharge states. Similarly, the second overcharge frequency can be the occurrence frequency of the second overcharge state relative to the number of all charging states, or the occurrence frequency relative to the number of all overcharge states.

[0091] Exemplarily, the server respectively counts the first overcharge count of the energy storage power supply in the first overcharge state and the second overcharge count of the energy storage power supply in the second overcharge state. Subsequently, the server determines the first overcharge frequency of the first overcharge state according to the first overcharge count and the number of all charging states, and determines the second overcharge frequency of the second overcharge state according to the second overcharge count and the number of all charging states.

[0092] Step 303, determine the over-discharge state of the energy storage power supply in previous non-charging states.

[0093] Wherein, the previous non-charging states correspond to the previous charging states. The previous non-charging states refer to the states in which the energy storage power supply is not in the charging process, that is, the power supply may be discharging, idle, or in other non-charging operation states.

[0094] Wherein, the over-discharge state is opposite to the overcharge state. The over-discharge state refers to the state in which the real-time power of the energy storage power supply continues to discharge after the real-time power of the energy storage power supply is lower than the preset discharge amount threshold during the discharge process (that is, the non-charging process). The over-discharge state includes a first over-discharge state and a second over-discharge state. The first over-discharge state refers to the discharge state in which the over-discharge duration is greater than or equal to the over-discharge duration threshold, and the second over-discharge state refers to the discharge state in which the over-discharge duration is less than the over-discharge duration threshold.

[0095] Wherein, the over-discharge duration refers to the time length of the energy storage power supply in the over-discharge state, and the over-discharge duration can be determined based on the power change information of the energy storage power supply in the over-discharge state.

[0096] In an exemplary embodiment, the over-discharge duration is determined based on the over-discharge start time and the discharge end time of the energy storage power supply in each discharge state; the over-discharge start time refers to the time when the real-time power of the energy storage power supply reaches the preset discharge amount threshold during the discharge process, and the discharge end time refers to the time when the energy storage power supply ends the non-charging process.

[0097] Specifically, for each non-charging state, the server respectively collects the real-time power of the energy storage power supply in each non-charging state, and compares the real-time power with the preset discharge power threshold of the energy storage power supply. When the real-time power of the energy storage power supply reaches the preset discharge power threshold, the moment is marked as the over-discharge start moment, and the moment to end the current discharge operation is marked as the discharge end moment. The over-discharge duration is determined based on the over-discharge start moment and the discharge end moment. Subsequently, the server compares the over-discharge duration in each over-discharge state with the over-discharge duration threshold respectively. If the over-discharge duration in a certain non-charging state is greater than or equal to the over-discharge duration threshold, the non-charging state is marked as the first over-discharge state. If the over-discharge duration in a certain non-charging state is less than the over-discharge duration threshold, the non-charging state is marked as the second over-discharge state, until all the first over-discharge states and the second over-discharge states in all non-charging states are obtained.

[0098] Step 304: Respectively determine the first over-discharge times of the energy storage power supply in the first over-discharge state and the second over-discharge times of the energy storage power supply in the second over-discharge state, and determine the first over-discharge frequency according to the first over-discharge times and the second over-discharge frequency according to the second over-discharge times.

[0099] Among them, the first over-discharge times refer to the number of times of the first over-discharge state of the energy storage power supply in all non-charging states; the second over-discharge times refer to the number of times of the second over-discharge state of the energy storage power supply in all non-charging states. The first over-discharge frequency refers to the occurrence frequency of the first over-discharge state of the energy storage power supply in all non-charging states; the second over-discharge frequency refers to the occurrence frequency of the second over-discharge state of the energy storage power supply in all non-charging states. Specifically, when implemented, the first over-discharge frequency can be the occurrence frequency of the first over-discharge state relative to the number of all non-charging states, or the occurrence frequency relative to the number of all over-discharge states. Similarly, the second over-discharge frequency can be the occurrence frequency of the second over-discharge state relative to the number of all non-charging states, or the occurrence frequency relative to the number of all over-discharge states.

[0100] Exemplarily, the server respectively counts the first over-discharge times of the energy storage power supply in the first over-discharge state and the second over-discharge times of the energy storage power supply in the second over-discharge state. Subsequently, the server determines the first over-discharge frequency of the first over-discharge state according to the first over-discharge times and the number of all non-charging states, and determines the second over-discharge frequency of the second over-discharge state according to the second over-discharge times and the number of all non-charging states.

[0101] Step 305: Determine the power storage and consumption damage parameter of the energy storage power supply according to the first over-charge frequency, the second over-charge frequency, the first over-discharge frequency and the second over-discharge frequency.

[0102] In an exemplary embodiment, when determining the power storage and consumption damage parameter of the energy storage power supply according to the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency, the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency can be weighted, spliced, summed, etc. to determine the power storage and consumption damage parameter.

[0103] In this embodiment, taking weighted determination as an example, the server obtains or determines the weights corresponding to the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency respectively. Subsequently, the server multiplies the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency by their respective corresponding weights and then sums them to obtain the power storage and consumption damage parameter.

[0104] Among them, the power storage and consumption damage parameter is expressed as:

[0105] (2)

[0106] Among them, is the power storage and consumption damage parameter, are the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency respectively, are the weights corresponding to the first overcharge frequency, the second overcharge frequency, the first overdischarge frequency, and the second overdischarge frequency respectively.

[0107] In this embodiment, by determining the number of over-discharge and over-charge states and refining the classification of over-charge and over-discharge states based on power change information, it is possible to accurately distinguish and count the frequencies of the energy storage power supply in different degrees of over-charge and over-discharge states, and accordingly determine the power storage and consumption damage parameter of the energy storage power supply, which is beneficial to more comprehensively evaluating the health status of the energy storage power supply and providing a scientific basis for preventing battery damage, optimizing battery management strategies, and extending battery service life.

[0108] In one embodiment, the storage environment information of the energy storage power supply in the storage environment is summarized and analyzed to obtain the power storage damage parameter of the energy storage power supply, including:

[0109] Determine the power storage condition parameter of the energy storage power supply; when the power storage condition parameter meets the preset storage difference analysis trigger condition, determine the single storage difference duration of the energy storage power supply, and determine the total storage difference duration of the energy storage power supply according to the single storage difference duration; based on the single storage difference duration of the energy storage power supply and the storage difference duration threshold, determine the storage difference frequency of the energy storage power supply; according to the total storage difference duration and the storage difference frequency, determine the power storage damage parameter of the energy storage power supply.

[0110] Among them, the power storage condition parameter refers to the parameter reflecting the current storage state of the energy storage power supply.

[0111] Among them, the preset storage difference analysis trigger condition refers to a condition that is preset and used to trigger the storage difference analysis. The preset storage difference analysis condition can be determined based on the threshold of the power storage condition parameter. When the power storage condition parameter reaches or exceeds this threshold, the storage difference analysis will be triggered. In specific implementation, a power storage condition threshold can be set for the power storage condition parameter, and the power storage condition parameter is compared with the power storage condition threshold. If the power storage condition parameter does not exceed the power storage condition threshold, it is determined that the storage condition of the energy storage power supply is good. If the power storage condition parameter exceeds the power storage condition threshold, it is determined that the storage condition of the energy storage power supply is poor. At this time, it is necessary to trigger the storage difference analysis, that is, the preset storage difference analysis trigger condition is that the power storage condition parameter exceeds the power storage condition threshold. In addition, for the poor storage condition of the energy storage power supply, alarms and early warnings can also be carried out. The specific methods can refer to the alarms and early warnings for the health status, which will not be elaborated here.

[0112] Among them, the single - time storage difference duration refers to the time length from when the preset storage difference analysis trigger condition is met (i.e., the start of the storage difference analysis) to when this condition is no longer met (i.e., the end of the storage difference analysis) during the storage process of the energy storage power supply. That is, the duration from when the storage state of the energy storage power supply is poor to when this state disappears, which is used to reflect the duration when the energy storage power supply is in a poor storage state.

[0113] In an exemplary embodiment, the single - time storage difference duration is determined based on the start time point and end time point of the storage difference analysis when triggered by the storage environment information. The start time point of the storage difference is the time point when the power storage condition parameter of the energy storage power supply reaches the preset storage difference analysis trigger condition, thus triggering the storage difference analysis. That is, the time point when the energy storage power supply starts to be in a poor storage condition. The end time point of the storage difference is the time point when the power storage condition parameter no longer meets the trigger condition and the storage difference analysis stops. That is, the time point when the poor storage state of the energy storage power supply ends.

[0114] Among them, the storage difference duration threshold refers to the reference time length used to evaluate the storage difference frequency of the energy storage power supply. When the single - time storage difference duration exceeds the storage difference duration threshold, it means that the energy storage power supply has been greatly affected or damaged during the storage process.

[0115] Among them, the storage difference frequency refers to the number of times that the single - time storage difference duration exceeds the storage difference duration threshold during the storage process of the energy storage power supply, which is used to reflect the frequency of potential damage to the energy storage power supply during the storage process. When determining the storage difference frequency, for each single - time storage difference duration, when the single - time storage difference duration exceeds the storage difference duration threshold, a storage determination symbol is generated. And each time it is generated, the number of storage determination symbols is incremented by one to obtain the total number of storage determination symbols, which is used as the storage difference frequency, or it is divided by the number of all single - time storage difference durations (i.e., the number of times the storage state is poor) to obtain the storage difference frequency.

[0116] Among them, the total duration of power storage difference refers to the sum of the durations of all single - time storage differences during the storage process of the energy - storage power source, which is used to reflect the total time length of potential damage to the energy - storage power source during the storage process. Specifically, in implementation, the total duration of power storage difference can also be determined according to the weighted sum of the durations of each single - time storage difference. When weighting, the weights of the durations of each single - time storage difference can be determined based on the magnitudes of the durations of each single - time storage difference, the correlation between the storage environment information that causes the poor storage state and the duration of the storage difference, etc.

[0117] Exemplarily, the server determines the power storage condition parameters of the energy - storage power source based on the actual measurement and analysis of the storage condition, and compares the power storage condition parameters with the preset storage - condition threshold to determine whether the power storage condition parameters meet the trigger condition for storage - difference analysis. If the power storage condition parameters meet the trigger condition for storage - difference analysis, the start time and end time of the storage difference during the storage - difference analysis are triggered based on the storage environment information to determine the duration of a single - time storage difference of the energy - storage power source, and the sum of the durations of each single - time storage difference is determined as the total duration of power storage difference of the energy - storage power source; subsequently, the server determines the storage - difference frequency of the energy - storage power source based on the duration of a single - time storage difference of the energy - storage power source and the storage - difference duration threshold, and determines the power storage damage - causing parameter of the energy - storage power source according to the total duration of power storage difference and the storage - difference frequency.

[0118] In an exemplary embodiment, when determining the power storage damage - causing parameter of the energy - storage power source according to the total duration of power storage difference and the storage - difference frequency, the power storage damage - causing parameter can be determined by means of weighting, splicing, summing, etc. of the total duration of power storage difference and the storage - difference frequency.

[0119] In this embodiment, taking weighted determination as an example, the server obtains or determines the weights corresponding to the total duration of power storage difference and the storage - difference frequency respectively. Subsequently, the server multiplies the total duration of power storage difference and the storage - difference frequency by their respective corresponding weights and then sums them to obtain the power storage damage - causing parameter.

[0120] Among them, the power storage damage - causing parameter is expressed as:

[0121] (3)

[0122] Among them, is the power storage damage - causing parameter, are the total duration of power storage difference and the storage - difference frequency respectively, are the weights corresponding to the total duration of power storage difference and the storage - difference frequency respectively.

[0123] In this embodiment, by determining the power storage condition parameters of the energy storage power supply, the storage state of the energy storage power supply can be monitored in real time, so as to calculate the duration of a single storage difference and the total duration of the power storage difference. Based on the analysis of the storage difference frequency and the total duration of the power storage difference, the poor storage condition of the energy storage power supply during use can be accurately evaluated, and the power storage damage parameter of the energy storage power supply can be determined, thereby effectively predicting the risk of power storage damage.

[0124] In one embodiment, determining the power storage condition parameters of the energy storage power supply includes:

[0125] Collect the instantaneous impact force detection data of the energy storage power supply and the electromagnetic intensity data of the storage environment where the energy storage power supply is located; obtain the environmental state data in the storage environment, and analyze the energy storage power supply based on the environmental state data to obtain environmental performance data; perform radiation corrosion analysis on the radiation state and corrosion state of the energy storage power supply in the storage environment to obtain radiation corrosion data; determine the power storage condition parameters of the energy storage power supply according to the instantaneous impact force detection data, electromagnetic intensity data, environmental performance data and radiation corrosion data.

[0126] Among them, the instantaneous impact force detection data refers to the measurement data of the physical impact force received by the energy storage power supply in a short time; the electromagnetic intensity data refers to the intensity information of the electromagnetic field in the storage environment where the energy storage power supply is located. In specific implementation, the instantaneous impact force detection data and the electromagnetic intensity data can be directly collected by devices or sensors.

[0127] Among them, the environmental state data refers to the temperature, humidity, etc. in the storage environment where the energy storage power supply is located. The preset storage environmental state data refers to the ideal storage environmental parameters preset according to the type, use and performance requirements of the energy storage power supply. The environmental performance data refers to the data obtained by comparing and analyzing the actual storage environmental state data with the preset storage environmental state data, and the environmental performance data is used to characterize the difference between the environmental state data of the energy storage power supply in the storage environment and the preset storage environmental state data. In specific implementation, taking the temperature data as an example, the maximum and minimum values of the preset suitable storage temperature range of the energy storage power supply are averaged to obtain the suitable storage temperature value, and the temperature of the environment where the energy storage power supply is located is subtracted from the suitable storage temperature value and the absolute value is taken to obtain the environmental performance data corresponding to the temperature data, that is, the temperature performance data; the environmental performance data corresponding to the humidity (i.e., the humidity performance data) can be determined in the same way.

[0128] Among them, the radiation state refers to the state of the energy storage power supply affected by electromagnetic radiation in the storage environment; the corrosion state refers to the state of the energy storage power supply affected by chemical corrosion in the storage environment. The radiation corrosion analysis refers to the process of comprehensive evaluation and analysis of the radiation state and corrosion state of the energy storage power supply in the storage environment. The radiation corrosion data refers to the result of the radiation corrosion analysis.

[0129] Exemplarily, the server uses a collection device or sensor to collect the instantaneous impact force detection data of the energy storage power supply and the electromagnetic intensity data of the storage environment where the energy storage power supply is located. Then, the server obtains the temperature data and humidity data in the storage environment, and analyzes and compares the temperature data and humidity data with the corresponding suitable storage temperature value and suitable storage humidity value respectively to obtain the temperature performance data and humidity performance data. Next, the server conducts radiation corrosion analysis on the irradiated state and corroded state of the energy storage power supply in the storage environment to obtain radiation corrosion data. Finally, the server determines the power storage condition parameters of the energy storage power supply according to the instantaneous impact force detection data, electromagnetic intensity data, temperature performance data, humidity performance data, and radiation corrosion data.

[0130] In an exemplary embodiment, when determining the power storage condition parameters of the energy storage power supply according to the instantaneous impact force detection data, electromagnetic intensity data, temperature performance data, humidity performance data, and radiation corrosion data, the instantaneous impact force detection data, electromagnetic intensity data, temperature performance data, humidity performance data, and radiation corrosion data can be weighted, spliced, summed, etc. to determine the power storage condition parameters.

[0131] In this embodiment, taking weighted determination as an example, the server obtains or determines the respective weights corresponding to the instantaneous impact force detection data, electromagnetic intensity data, temperature performance data, humidity performance data, and radiation corrosion data. Subsequently, the server multiplies the instantaneous impact force detection data, electromagnetic intensity data, temperature performance data, humidity performance data, and radiation corrosion data by their respective corresponding weights and then sums them up to obtain the power storage condition parameters.

[0132] Among them, the power storage condition parameters are expressed as:

[0133] (4)

[0134] Among them, is the power storage condition parameter, are respectively the instantaneous impact force detection data, temperature performance data, humidity performance data, electromagnetic intensity data, and radiation corrosion data, are respectively the weights corresponding to the instantaneous impact force detection data, temperature performance data, humidity performance data, electromagnetic intensity data, and radiation corrosion data.

[0135] In this embodiment, by collecting instantaneous impact force detection data, electromagnetic intensity data, and environmental status data, and at the same time, deeply analyzing the radiation state and corrosion state of the energy storage power supply in the storage environment, the power supply condition parameters can be comprehensively obtained. This not only considers the physical impact and electromagnetic environment directly faced by the energy storage power supply, but also covers the long-term impacts that factors such as temperature, humidity, radiation, and corrosion may have on the energy storage power supply, which is conducive to obtaining accurate and comprehensive power supply condition parameters, and then conducting accurate quantitative analysis on the storage status of the energy storage power supply.

[0136] In one embodiment, radiation corrosion analysis is performed on the radiation state and corrosion state of the energy storage power supply in the storage environment to obtain radiation corrosion data, including:

[0137] Determine the measured value of the medium concentration of at least one corrosion medium of the energy storage power supply in the storage environment. According to each measured value of the medium concentration, determine the corrosion measurement value of each corrosion medium for corroding the energy storage power supply, and determine the corrosion decision value based on each corrosion measurement value; determine the measured value of the radiation intensity of at least one radiation category of the energy storage power supply in the storage environment. According to each measured value of the radiation intensity, determine the radiation measurement value of each radiation category for irradiating the energy storage power supply, and determine the radiation decision value based on each radiation measurement value; determine the radiation corrosion data according to the corrosion decision value and the radiation decision value.

[0138] Among them, the corrosion medium refers to the combination of chemical substances and physical substances that may corrode the energy storage power supply in the storage environment. These media can include solid media (such as salts, alkalis, etc.), liquid media (such as acids), and gas media (such as oxygen, etc.). These media can react chemically with the preparation materials of the energy storage power supply, resulting in the corrosion of the power supply surface or internal structure. The measured value of the medium concentration refers to the actual concentration value of the corrosion medium in the storage environment obtained through measurement. The corrosion measurement value refers to the measurement value of the corrosion degree of the corrosion medium on the energy storage power supply calculated based on the measured value of the medium concentration of each corrosion medium and the weight ratio of the corrosion medium in all corrosion media, so as to quantify the specific impact of the corrosion medium on the energy storage power supply. The corrosion decision value refers to a comprehensive index obtained by comprehensively considering the corrosion measurement values corresponding to all corrosion media, and is used to evaluate the degree of damage that the energy storage power supply may suffer due to corrosion media in the storage environment. Specifically, the corrosion decision value can be determined according to the sum of all corrosion measurement values.

[0139] Among them, the radiation category refers to different types of radiation in the storage environment that may cause radiation effects on the energy storage power supply, such as electromagnetic radiation, ionizing radiation, etc. The measured value of radiation intensity refers to the actual intensity value of a specific radiation category in the storage environment obtained through measurement. The radiation measurement value refers to the measurement value of the radiation degree of the radiation category on the energy storage power supply calculated based on the measured value of the radiation intensity of each radiation category and the weight ratio of the radiation category in all radiation categories, so as to quantify the specific impact of radiation on the energy storage power supply. The radiation decision value is a comprehensive index obtained by comprehensively considering the radiation measurement values corresponding to all radiation categories, and is used to evaluate the degree of damage that the energy storage power supply may suffer due to radiation in the storage environment. Specifically, when implemented, the radiation decision value can be determined according to the sum of all radiation measurement values.

[0140] In an exemplary embodiment, when determining the radiation corrosion data, a proportionality coefficient a1 and a2 can be respectively assigned to the corrosion decision value and the radiation decision value, and a2 > a1 > 0; multiply the corrosion decision value by the value a1, and multiply the radiation decision value by the value a2, and calculate the sum of the two sets of product values to obtain the radiation corrosion value.

[0141] In this embodiment, by measuring the concentration of the corrosion medium and the radiation intensity in the actual environment, the corrosion measurement value and the radiation measurement value are respectively calculated, and based on this, the corrosion decision value and the radiation decision value are obtained, and finally integrated into the radiation corrosion data, which is beneficial to improving the monitoring accuracy of the storage environment conditions of the energy storage power supply, so as to timely discover and handle potential corrosion and radiation risks, thereby ensuring the safety and stability of the energy storage power supply.

[0142] In one embodiment, the above method further includes:

[0143] Analyze the operating temperature of the energy storage power supply in the discharge state to obtain temperature analysis data; in the case where the temperature analysis data meets the trigger condition for electrical parameter analysis, analyze the operating electrical parameters of the energy storage power supply in the discharge state to obtain electrical parameter analysis data; according to the temperature analysis data and the electrical parameter analysis data, obtain discharge hazard detection parameters, and the discharge hazard detection parameters are used to characterize the health status information of the energy storage power supply in the discharge state.

[0144] Among them, the discharge state refers to the state in which the energy storage power supply is releasing the stored electrical energy for use. During the discharge process, the voltage and power of the energy storage power supply will gradually decrease.

[0145] Among them, the operating temperature refers to the temperature generated by the energy storage power supply during the discharge process. The temperature analysis data refers to the parameters obtained by analyzing the operating temperature of the energy storage power supply in the discharge state, and is used to evaluate whether the temperature condition of the energy storage power supply is within the normal range.

[0146] In an exemplary embodiment, a method for analyzing the operating temperature to obtain temperature analysis data includes: collecting the operating temperatures of a number of monitoring points on an energy storage power supply, calculating the sum of the operating temperatures of all monitoring points and taking the average to obtain operating temperature data, and calculating the difference between the maximum and minimum operating temperature data among all monitoring points to obtain temperature difference data; collecting the temperature increase rates of the corresponding monitoring points, calculating the sum of the temperature increase rates of all monitoring points to obtain temperature increase data, and calculating the difference between the maximum and minimum temperature increase data among all monitoring points to obtain temperature increase difference data; finally, determining the temperature analysis data based on the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data.

[0147] When determining the temperature analysis data of the energy storage power supply based on the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data, the temperature analysis data can be determined by weighting, splicing, summing, etc. of the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data.

[0148] In this embodiment, taking weighted determination as an example, obtain or determine the respective weights of the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data, and then multiply the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data by their respective corresponding weights and sum them to obtain the temperature analysis data.

[0149] Among them, the temperature analysis data is expressed as:

[0150] (5)

[0151] Among them, is the temperature analysis data, are the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data respectively, are the respective weights of the operating temperature data, temperature difference data, temperature increase data, and temperature increase difference data respectively.

[0152] Among them, the electrical parameter analysis trigger condition refers to a preset condition for triggering the execution of electrical parameter analysis. When the temperature analysis data meets the electrical parameter analysis trigger condition, the analysis of the operating electrical parameters of the energy storage power supply in the discharge state will be triggered. These conditions may be based on specific values or change trends of the temperature analysis data. In this embodiment, the electrical parameter analysis trigger condition is a temperature analysis threshold set for the temperature analysis data. When the temperature analysis data does not exceed the temperature analysis threshold, the electrical parameter analysis trigger condition is met to continue the subsequent electrical parameter analysis; conversely, if the temperature analysis data exceeds the temperature analysis threshold, an alarm or early warning can be issued for the operating temperature in the discharge state.

[0153] Among them, the operating electrical parameters refer to a series of electrical parameters involved in the energy storage power supply during the discharge process, such as voltage, current, power, etc. The electrical parameter analysis data refers to the data obtained by analyzing the operating electrical parameters of the energy storage power supply in the discharge state, and is used to evaluate whether the electrical performance of the energy storage power supply is within the normal range.

[0154] In an exemplary embodiment, when analyzing the operating electrical parameters, taking the current and voltage as examples of the operating electrical parameters, the operating voltage and operating current of the energy storage power supply are respectively collected, the difference between the operating voltage and the preset appropriate voltage is calculated and the absolute value is taken to obtain the voltage analysis data. Similarly, the difference between the operating current and the preset appropriate current is calculated and the absolute value is taken to obtain the current analysis data.

[0155] Among them, the discharge hidden danger detection parameter is a parameter comprehensively obtained based on the temperature analysis data and the electrical parameter analysis data, and is used to characterize the health status information of the energy storage power supply in the discharge state.

[0156] Exemplarily, the server collects the temperature increase rates of the corresponding monitoring points of the operating temperatures of several monitoring points on the energy storage power supply, determines the corresponding operating temperature data, temperature difference data, temperature increase data and temperature increase difference values, and determines the temperature analysis data based on the operating temperature data, temperature difference data, temperature increase data and temperature increase difference values. Subsequently, the server analyzes the operating temperature of the energy storage power supply in the discharge state to obtain the temperature analysis data; then, the server compares the temperature analysis data with the electrical parameter analysis trigger condition. When the temperature analysis data meets the electrical parameter analysis trigger condition, the operating electrical parameters of the energy storage power supply in the discharge state are analyzed to obtain the electrical parameter analysis data; finally, the server obtains the discharge hidden danger detection parameter according to the temperature analysis data and the electrical parameter analysis data.

[0157] In an exemplary embodiment, taking the current and voltage as examples of the operating electrical parameters, when determining the discharge hidden danger detection parameter of the energy storage power supply according to the temperature analysis data, voltage analysis data and current analysis data, the temperature analysis data, voltage analysis data and current analysis data can be weighted, spliced, summed, etc. to determine the discharge hidden danger detection parameter.

[0158] In this embodiment, taking weighted determination as an example, the weights corresponding to the temperature analysis data, voltage analysis data and current analysis data are obtained or determined, and then the temperature analysis data, voltage analysis data and current analysis data are respectively multiplied by their corresponding weights and then summed to obtain the discharge hidden danger detection parameter.

[0159] Among them, the discharge hidden danger detection parameter is expressed as:

[0160] (6)

[0161] Among them, is a detection parameter for discharge hazards are temperature analysis data, voltage analysis data, and current analysis data respectively are the weights corresponding to the voltage analysis data, current analysis data, and temperature analysis data respectively

[0162] In this embodiment, by comprehensively analyzing the operating temperature and electrical parameters of the energy storage power supply in the discharge state, the health state of the energy storage power supply can be accurately evaluated, potential hazards during the discharge process can be effectively identified, providing a reliable basis for timely taking maintenance measures, and ensuring the safety and stability of the energy storage power supply during the discharge state

[0163] In one embodiment, the above method further includes:

[0164] Determine the surface defect area of the energy storage power supply, the area and amplitude corresponding to the surface defect area; according to the area and amplitude, determine the defect evaluation value of the surface defect area; when the defect evaluation value meets the trigger condition for appearance defect analysis, determine the number of surface defect areas and the total area of each surface defect area; according to the number and total area of the surface defect areas, determine the appearance defect detection parameter

[0165] Among them, the surface defect area refers to the area with defects on the outer shell or surface of the energy storage power supply. In this embodiment, the defects on the outer shell or surface of the energy storage power supply mainly refer to surface bulges or surface depressions. The area is the size of the area occupied by the surface defect area. The amplitude is the deviation of the height of the surface bulge or the depth of the surface depression relative to the surrounding surface

[0166] In an exemplary embodiment, the method for determining the surface defect area includes: scanning the surface or appearance of the energy storage power supply to obtain the surface image of the energy storage power supply and marking it as the verification image. Subsequently, obtain the surface standard image of the energy storage power supply and mark it as the reference image. Then, compare the verification image with the reference image to identify the concave area and bulge area on the surface of the energy storage power supply. If there is no concave and bulge area, it means that there is no defect on the surface or appearance of the power supply or it is within the allowable range, that is, the verification is qualified; if there is a concave and bulge area, determine the corresponding concave area and bulge area as the surface defect area

[0167] Among them, the defect evaluation value refers to the data obtained by comprehensively calculating based on the area of the region and the amplitude of the region, and is used to quantify the severity of surface defects. In an exemplary embodiment, for the defect evaluation value corresponding to each surface defect region, it can be determined by means of weighting, splicing, summing, etc. based on the area of the region and the amplitude of the region. Taking weighting determination as an example, obtain or determine the weights corresponding to the area of the region and the amplitude of the region respectively, and then multiply the area of the region and the amplitude of the region by their respective corresponding weights and sum them to obtain the defect evaluation value.

[0168] Among them, the defect evaluation value is expressed as:

[0169] (7)

[0170] Among them, is the defect evaluation value, are the area of the region and the amplitude of the region respectively, are the weights corresponding to the area of the region and the amplitude of the region respectively.

[0171] Among them, the appearance defect analysis condition refers to the specific condition or threshold that triggers the appearance defect analysis of the energy storage power supply. When the defect evaluation value meets the appearance defect analysis condition, it is necessary to analyze the appearance defects of the energy storage power supply to improve the accuracy of appearance defect analysis.

[0172] In an exemplary embodiment, when determining, it can be achieved by setting a fixed threshold. Specifically, compare the defect evaluation values corresponding to each surface defect region with a preset evaluation value. If the defect evaluation value exceeds the preset evaluation value, it is determined that the surface defect region is a high-risk area; if there is a high-risk area, it can be prompted by means of alarm or early warning; if there is no high-risk area, continue with subsequent analysis, that is, meet the appearance defect analysis condition.

[0173] Among them, the number of surface defect regions refers to the number of defect regions existing on the surface of the energy storage power supply. The total area of the regions refers to the sum of the areas of all surface defect regions, so as to reflect the overall damage degree of the surface of the energy storage power supply.

[0174] Among them, the appearance defect detection parameter refers to the parameter obtained by comprehensively calculating based on the number of surface defect regions and the total area of the regions, and is used to comprehensively evaluate the severity of the appearance defects of the energy storage power supply. The appearance defect detection parameter is used to characterize the appearance health status information of the energy storage power supply.

[0175] Exemplarily, the server determines the surface defect area of the energy storage power supply, as well as the area and amplitude corresponding to the surface defect area, by analyzing the verification image and the reference image; and determines the defect evaluation value of the surface defect area based on the area and amplitude; subsequently, the server compares the defect evaluation value with the appearance defect analysis trigger condition, and when the defect evaluation value meets the appearance defect analysis trigger condition, determines the number of surface defect areas and the total area of each surface defect area; and determines the appearance defect detection parameter according to the number and total area of the surface defect areas.

[0176] In an exemplary embodiment, when determining the appearance defect detection parameter of the energy storage power supply according to the number and total area of the surface defect areas, the number and total area of the surface defect areas can be weighted, spliced, summed, etc. to determine the appearance defect detection parameter.

[0177] In this embodiment, taking weighted determination as an example, obtain or determine the weights corresponding to the number and total area of the surface defect areas respectively, and then multiply the number and total area of the surface defect areas by their respective corresponding weights and sum them to obtain the appearance defect detection parameter.

[0178] Among them, the appearance defect detection parameter is expressed as:

[0179] (8)

[0180] Among them, is the appearance defect detection parameter, are respectively the number and total area of the surface defect areas, are respectively the weights corresponding to the number and total area of the surface defect areas.

[0181] In this embodiment, by accurately identifying the surface defect area of the energy storage power supply and its quantization index, obtaining the defect evaluation value, and when the defect evaluation value meets the appearance defect detection trigger condition, counting the number and total area of the surface defect areas to obtain the appearance defect detection parameter, it is beneficial to improve the accuracy and efficiency of appearance defect detection, and the method is simple and feasible.

[0182] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0183] Based on the same inventive concept, an embodiment of the present application also provides a device for determining the health state of an energy storage power supply for implementing the method for determining the health state of the energy storage power supply involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for determining the health state of the energy storage power supply provided below can refer to the limitations on the method for determining the health state of the energy storage power supply in the above text, and will not be repeated here.

[0184] In an exemplary embodiment, as Figure 4 shown, a device for determining the health state of an energy storage power supply is provided, including: a parameter acquisition module 401, a first analysis module 402, a second analysis module 403, and a state determination module 404, where:

[0185] The parameter acquisition module 401 is configured to acquire the life cycle parameters and operating frequency parameters of the energy storage power supply;

[0186] The first analysis module 402 is configured to perform charge storage trace analysis on the power information of the energy storage power supply in an overworking state to obtain the charge storage and consumption damage parameters of the energy storage power supply;

[0187] The second analysis module 403 is configured to perform a summary analysis of the storage history of the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameters of the energy storage power supply;

[0188] The state determination module 404 is configured to determine the health state information of the energy storage power supply according to the life cycle parameters, operating frequency parameters, charge storage and consumption damage parameters, and power storage damage parameters.

[0189] Each module in the above-mentioned state-of-health determination device for the energy storage power supply can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0190] In an exemplary embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store life cycle parameters, working frequency parameters, power storage and consumption damage parameters, power storage-induced damage parameters, state-of-health information, various threshold data, etc. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a method for determining the state of health of an energy storage power supply.

[0191] Those skilled in the art can understand that Figure 5 the structure shown in

[0192] is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0193] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements the method for determining the state of health of the energy storage power supply in the above embodiment.

[0194] In one embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements the method for determining the health state of the energy storage power supply in the above embodiment.

[0195] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0196] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., and are not limited thereto.

[0197] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as falling within the scope recorded in this application.

[0198] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application shall be subject to the appended claims.

Claims

1. A method for determining the health status of an energy storage power supply, characterized in that: The method comprises: Obtain life cycle parameters and operating frequency parameters of energy storage power supply; Performing power storage tracing analysis on the power information of the energy storage power supply in the overworking state to obtain power storage and consumption damage parameters of the energy storage power supply; Performing storage history summary analysis on storage environment information of the energy storage power supply in a storage environment to obtain power storage damage parameters of the energy storage power supply; The health status information of the energy storage power supply is determined according to the life cycle parameter, the operating frequency parameter, the power consumption damage parameter and the power storage damage parameter.

2. The method according to claim 1, characterized in that The power storage tracing analysis is performed on the power information of the energy storage power supply in the overworking state to obtain the power storage and consumption damage parameters of the energy storage power supply, including: Determine an overcharge state of the energy storage power supply under previous charging states; the overcharge state includes a first overcharge state in which the overcharge duration is greater than or equal to an overcharge duration threshold and a second overcharge state in which the overcharge duration is less than the overcharge duration threshold, and the overcharge duration is determined based on the power change information of the energy storage power supply under the overcharge state; Respectively determining a first overcharge number of the energy storage power source in the first overcharge state and a second overcharge number of the energy storage power source in the second overcharge state, and determining a first overcharge frequency according to the first overcharge number and determining a second overcharge frequency according to the second overcharge number; Determine an over-discharge state of the energy storage power supply in all previous non-charging states; the over-discharge state includes a first over-discharge state in which the over-discharge duration is greater than or equal to an over-discharge duration threshold and a second over-discharge state in which the over-discharge duration is less than the over-discharge duration threshold, and the over-discharge duration is determined based on the power change information of the energy storage power supply in the over-discharge state; Respectively determining a first over-discharge number of the energy storage power source in the first over-discharge state and a second over-discharge number of the energy storage power source in the second over-discharge state, and determining a first over-discharge frequency according to the first over-discharge number and determining a second over-discharge frequency according to the second over-discharge number; A power storage and consumption damage parameter of the energy storage power source is determined according to the first overcharging frequency, the second overcharging frequency, the first overdischarging frequency, and the second overdischarging frequency.

3. The method according to claim 1, characterized in that The storage history summary analysis of the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameter of the energy storage power supply includes: Determining power storage parameters of the energy storage power supply; When the power storage condition parameter meets the preset storage difference analysis trigger condition, determine the single storage difference duration of the energy storage power supply, and determine the total power storage difference duration of the energy storage power supply according to the single storage difference duration; the single storage difference duration is determined based on the storage difference start time and storage difference end time when the storage difference analysis is triggered by the storage environment information; Determining the storage difference frequency of the energy storage power supply based on a single storage difference duration of the energy storage power supply and a storage difference duration threshold; The power storage damage parameter of the energy storage power supply is determined according to the total power storage difference time and the storage difference frequency.

4. The method according to claim 3, characterized in that The determining of the power supply status parameter of the energy storage power supply includes: Collecting instantaneous impact force detection data of the energy storage power supply and electromagnetic intensity data of the storage environment where the energy storage power supply is located; Acquire environmental status data in the storage environment, analyze the energy storage power source based on the environmental status data, and obtain environmental performance data, wherein the environmental performance data is used to characterize the difference between the environmental status data of the energy storage power source in the storage environment and the preset storage environment status data; Performing radiation corrosion analysis on the radiation state and corrosion state of the energy storage power source in the storage environment to obtain radiation corrosion data; The power supply status parameters of the energy storage power supply are determined according to the instantaneous impact force detection data, the electromagnetic intensity data, the environmental performance data and the radiation corrosion data.

5. The method according to claim 4, characterized in that The radiation corrosion analysis is performed on the radiation state and the corrosion state of the energy storage power source in the storage environment to obtain radiation corrosion data, including: Determine a measured value of the medium concentration of at least one corrosive medium of the energy storage power supply in the storage environment, determine a corrosion measure value of each of the corrosive media on the energy storage power supply according to each of the measured values ​​of the medium concentration, and determine a corrosion decision value based on each of the corrosion measure values; Determine a measured value of the radiation intensity of at least one radiation category of the energy storage power supply in the storage environment, determine a radiation measurement value of each radiation category for the energy storage power supply according to each of the measured values ​​of the radiation intensity, and determine a radiation decision value based on each of the radiation measurement values; The radiation corrosion data is determined according to the corrosion decision value and the radiation decision value.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Analyze the operating temperature of the energy storage power supply in a discharge state to obtain temperature analysis data; When the temperature analysis data meets the electrical parameter analysis trigger condition, analyzing the operating electrical parameters of the energy storage power supply in the discharge state to obtain electrical parameter analysis data; A discharge hidden danger detection parameter is obtained according to the temperature analysis data and the electrical parameter analysis data; the discharge hidden danger detection parameter is used to characterize the health status information of the energy storage power supply in a discharge state.

7. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Determine the surface defect region of the energy storage power source and the region area and region amplitude corresponding to the surface defect region; Determining a defect evaluation value of the surface defect region according to the region area and the region amplitude; In the case where the defect evaluation value satisfies the appearance defect analysis trigger condition, determining the number of the surface defect regions and the total area of ​​each of the surface defect regions; According to the number of the surface defect areas and the total area of ​​the areas, an appearance defect detection parameter is determined; the appearance defect detection parameter is used to characterize the appearance health status information of the energy storage power supply.

8. A device for determining the health status of an energy storage power supply, characterized in that: The device comprises: A parameter acquisition module is used to obtain the life cycle parameters and operating frequency parameters of the energy storage power supply; A first analysis module is used to perform power storage tracing analysis on the power information of the energy storage power supply in an overworking state to obtain power storage and consumption damage parameters of the energy storage power supply; A second analysis module is used to perform storage history summary analysis on the storage environment information of the energy storage power supply in the storage environment to obtain the power storage damage parameter of the energy storage power supply; The state determination module is used to determine the health state information of the energy storage power supply according to the life cycle parameter, the operating frequency parameter, the power storage damage parameter and the power storage damage parameter.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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