Energy storage system health assessment methods, devices, electronic equipment and storage media

Abstract

This application discloses a method, apparatus, electronic device, and storage medium for health assessment of energy storage systems, belonging to the field of energy storage technology. The assessment method includes: acquiring target indicators for each energy storage battery in a target energy storage system and determining a first weight corresponding to each target indicator; the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery; the target indicators also include at least one of a second target indicator and a third target indicator for each energy storage battery; the first target indicator is an indicator characterizing an abnormal event; based on the target indicators, determining a health score corresponding to each target indicator; and based on the health score corresponding to the target indicator and the first weight, determining the health assessment result of the target energy storage system. The energy storage system health assessment method, apparatus, electronic device, and storage medium disclosed in this application assess the health status of energy storage systems through a multi-dimensional data fusion architecture, which can improve the accuracy and reliability of energy storage system health assessment.

Description

Technical Field

[0001] This application belongs to the field of energy storage technology, and in particular relates to a method, device, electronic equipment and storage medium for health assessment of energy storage systems. Background Technology

[0002] In related technologies, the health status of an energy storage system is typically assessed based on at least one of the second target indicators, such as voltage, current, and temperature of the batteries used for energy storage, along with fixed weights corresponding to these second target indicators. However, the accuracy of these methods is relatively low. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a method, apparatus, electronic device, and storage medium for health assessment of energy storage systems, which can improve the accuracy of health assessment of energy storage systems.

[0004] In a first aspect, this application provides a method for health assessment of an energy storage system, the method comprising:

[0005] Obtain the target indicators of each energy storage battery in the target energy storage system, and determine the first weight corresponding to the target indicators; the target indicators include the first target indicators corresponding to the abnormal events of each energy storage battery; the target indicators also include at least one of the second target indicators and the third target indicators of each energy storage battery; the first target indicator is an indicator characterizing the abnormal event; the second target indicator is an indicator characterizing the consistency of the electrochemical parameters of each energy storage battery; the third target indicator is an indicator characterizing the performance of each energy storage battery;

[0006] Based on the target indicator, determine the health score corresponding to the target indicator;

[0007] Based on the health score and first weight corresponding to the target indicator, the health assessment result of the target energy storage system is determined.

[0008] According to the energy storage system health assessment method of this application, the health status of the energy storage system is assessed through a multi-dimensional data fusion architecture. The assessment integrates multi-dimensional indicators such as the behavioral characteristics and other characteristics of the energy storage system, which can solve the core problems of traditional health assessment, such as the single dimension and lack of quantitative analysis of harmful events. It can improve the accuracy and reliability of energy storage system health assessment and enhance the application value of energy storage system health assessment.

[0009] According to one embodiment of this application, determining the first weight corresponding to the target indicator includes:

[0010] Based on the stage of each energy storage battery in its life cycle and / or capacity retention rate, the first weight corresponding to the target indicator is determined.

[0011] According to one embodiment of this application, determining the health score corresponding to the target indicator based on the target indicator includes:

[0012] Based on the first target index corresponding to each abnormal event of each energy storage battery, the total damage of each abnormal event to the health of the target energy storage system is obtained.

[0013] Based on the total damage, determine the health score corresponding to the first target indicator.

[0014] According to one embodiment of this application, obtaining the total damage to the health of the energy storage system based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0015] Based on the first target index corresponding to each abnormal event of each energy storage battery, the damage of the abnormal event to the health of the energy storage battery is obtained;

[0016] The total damage is obtained based on the damage to the health of the energy storage battery caused by each of the abnormal events and the weight corresponding to the type of each of the abnormal events; the types of the abnormal events include at least one of overcharging, over-discharging, prolonged storage, high temperature abnormality and low temperature abnormality.

[0017] According to one embodiment of this application, obtaining the target indicators of each energy storage battery in the target energy storage system includes at least one of the following:

[0018] For each overcharge-type abnormal event of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a first target time period in the abnormal event and the voltage of the energy storage battery during the first target time period; the first target time period is the time period during which the voltage of the energy storage battery is higher than the maximum allowable voltage;

[0019] For each over-discharge type abnormal event of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a second target time period in the abnormal event and the voltage of the energy storage battery in the second target time period, as well as the number of over-discharges within the discharge cycle of the abnormal event; the target time period is the time period during which the voltage of the energy storage battery is lower than the minimum allowable voltage.

[0020] For each of the long-term storage type abnormal events of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes the duration of the static state of the energy storage battery in the abnormal event and the change in the state of charge in the static state; the static state is a state of not charging and not discharging.

[0021] For each abnormal event of a high temperature anomaly type for each of the aforementioned energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a third target time period in the abnormal event and the temperature of the energy storage battery during the third target time period; the third target time period is the period during which the temperature of the energy storage battery is higher than the maximum safe temperature;

[0022] For each abnormal event of low temperature anomaly type for each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes the fourth target time period in the abnormal event and the temperature of the energy storage battery in the fourth target time period; the fourth target time period is the period when the temperature of the energy storage battery is lower than the minimum safe temperature.

[0023] According to one embodiment of this application, the step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0024] For each overcharge-type abnormal event of each of the aforementioned energy storage batteries, a first coefficient is obtained based on the magnitude by which the voltage exceeds the maximum allowable voltage during the first target time period;

[0025] Based on the first coefficient and the difference between the voltage during the first target time period and the maximum allowable voltage, the damage to the health of the energy storage battery caused by the abnormal event is obtained.

[0026] According to one embodiment of this application, the step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0027] For each over-discharge type abnormal event of each of the aforementioned energy storage batteries, a second coefficient is obtained based on the voltage and the number of events during the second target time period;

[0028] Based on the second coefficient and the difference between the minimum allowable voltage and the voltage during the second target time period, the damage to the health of the energy storage battery caused by the abnormal event is obtained.

[0029] According to one embodiment of this application, the step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0030] For each long-term storage-type abnormal event of each energy storage battery, the damage to the health of the energy storage battery by the abnormal event is obtained based on a third coefficient, the duration of the event, and the change in the state of charge; the third coefficient is determined based on the ambient temperature.

[0031] According to one embodiment of this application, the step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0032] For each abnormal event of a high temperature anomaly type in each of the aforementioned energy storage batteries, the damage to the health of the energy storage battery is obtained based on a fourth coefficient and the difference between the temperature of the third target time period and the maximum safe temperature.

[0033] According to one embodiment of this application, the step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes:

[0034] For each abnormal event of a low-temperature anomaly type in each of the aforementioned energy storage batteries, the damage to the health of the energy storage battery is obtained based on the fifth coefficient and the temperature difference between the minimum safe temperature and the fourth target time period.

[0035] According to one embodiment of this application, the third target indicator includes at least one of capacity retention rate and cycle efficiency.

[0036] According to one embodiment of this application, determining the health score corresponding to the target indicator based on the target indicator includes:

[0037] Based on the first target index of each energy storage battery, a first score corresponding to each energy storage battery is determined, and the minimum value among multiple first scores is used to determine the health score corresponding to the first target index.

[0038] And / or, based on the third target index of each of the energy storage batteries, determine the second score corresponding to each of the energy storage batteries, and determine the health score corresponding to the third target index by taking the minimum value among the multiple second scores.

[0039] According to one embodiment of this application, determining the first score corresponding to each energy storage battery based on the first target index of each energy storage battery includes:

[0040] Based on the first target index corresponding to each abnormal event of each energy storage battery, the total damage to the health of each abnormal event of the energy storage battery is obtained;

[0041] Based on the total damage to the health of the energy storage battery caused by each of the aforementioned abnormal events, the first score corresponding to the energy storage battery is determined.

[0042] According to one embodiment of this application, after determining the health assessment result of the target energy storage system based on the health score corresponding to the target indicator and the first weight, the method further includes:

[0043] Output the operation and maintenance strategy corresponding to the health assessment results.

[0044] According to one embodiment of this application, the operation and maintenance strategy corresponding to the output health assessment result includes:

[0045] If the result of the health assessment is greater than a first threshold, a first operation and maintenance strategy is output; the first operation and maintenance strategy is used to instruct the target energy storage system to operate normally.

[0046] If the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, a second operation and maintenance strategy is output; the second operation and maintenance strategy is used to instruct the target energy storage system to perform active balancing enhancement, power limiting, and adjustment of the target threshold; the target threshold is a threshold set to protect the target energy storage system;

[0047] If the result of the health assessment is less than the second threshold, a third operation and maintenance strategy is output; the third operation and maintenance strategy is used to indicate at least one of shutdown and fault location for the target energy storage system.

[0048] According to one embodiment of this application, the operation and maintenance strategy corresponding to the output health assessment result includes:

[0049] If the result of the health assessment decreases by more than a third threshold within a target time period, and the result of the health assessment is greater than the first threshold, the second operation and maintenance strategy and the fourth operation and maintenance strategy are output; the fourth operation and maintenance strategy is used to indicate fault location for the target energy storage system.

[0050] If the result of the health assessment decreases by more than the third threshold within the target duration, and the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, the third operation and maintenance strategy is output.

[0051] According to one embodiment of this application, the operation and maintenance strategy corresponding to the output health assessment result includes:

[0052] If the health assessment result decreases by more than the fourth threshold in a continuous target number of charge-discharge cycles, a fifth operation and maintenance strategy is output; the fifth operation and maintenance strategy is used to instruct the target energy storage system to locate the fault and adjust the operating parameters.

[0053] Secondly, this application provides a health assessment device for an energy storage system, the device comprising:

[0054] An acquisition module is used to acquire target indicators of each energy storage battery in a target energy storage system and determine a first weight corresponding to the target indicators; the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery; the target indicators also include at least one of a second target indicator and a third target indicator of each energy storage battery; the first target indicator is an indicator characterizing an abnormal event; the second target indicator is an indicator characterizing the consistency of electrochemical parameters of each energy storage battery; the third target indicator is an indicator characterizing the performance of each energy storage battery;

[0055] The first assessment module is used to determine the health score corresponding to the target indicator based on the target indicator;

[0056] The second evaluation module is used to determine the health evaluation result of the target energy storage system based on the health score and first weight corresponding to the target indicator.

[0057] According to the energy storage system health assessment device of this application, the health status of the energy storage system is assessed through a multi-dimensional data fusion architecture. It integrates multi-dimensional indicators such as the behavioral characteristics and other characteristics of the energy storage system for assessment, which can solve the core problems of traditional health assessment such as single dimension and lack of quantitative analysis of injury events. It can improve the accuracy and reliability of energy storage system health assessment and enhance the application value of energy storage system health assessment.

[0058] Thirdly, this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the energy storage system health assessment method as described in the first aspect above.

[0059] Fourthly, this application provides a non-volatile computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the energy storage system health assessment method as described in the first aspect above.

[0060] Fifthly, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the energy storage system health assessment method as described in the first aspect.

[0061] In a sixth aspect, this application provides a computer program product, including a computer program that, when executed by a processor, implements the energy storage system health assessment method as described in the first aspect above.

[0062] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0063] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0064] Figure 1 This is one of the flowcharts illustrating the energy storage system health assessment method provided in the embodiments of this application;

[0065] Figure 2 This is a flowchart illustrating the process of obtaining the health score corresponding to the first target indicator in the energy storage system health assessment method provided in this application embodiment;

[0066] Figure 3 This is the second flowchart illustrating the energy storage system health assessment method provided in the embodiments of this application;

[0067] Figure 4 This is a schematic diagram of the structure of the energy storage system health assessment device provided in the embodiments of this application;

[0068] Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0069] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0070] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0071] In related technologies, the main shortcomings in assessing the health status of energy storage systems include: limited assessment dimensions, rigid static weights, lack of quantitative analysis of damage events, and disconnect between operation and maintenance decisions.

[0072] First, the assessment of the health status of energy storage systems in related technologies is based on a single dimension, mainly relying on the secondary target indicators of the batteries in the energy storage system (such as differences in voltage and / or temperature), which cannot reflect the hidden damage caused by abnormal operation or abnormal events (such as irreversible capacity loss caused by prolonged over-discharge), increasing the bias in predicting the long-term degradation trend of energy storage systems.

[0073] Secondly, most solutions in related technologies use fixed weights, and static weights are fixed, which can easily lead to an increase in the error of later evaluation.

[0074] Third, in related technologies, the health status of energy storage systems is only recorded in terms of the number of occurrences of abnormal behaviors or events such as overcharging, over-discharging, or prolonged storage, which cannot reflect the hidden damage caused by abnormal operations or events.

[0075] Fourth, in related technologies, the health status of energy storage systems is disconnected from operation and maintenance decisions. Usually, an alarm is issued when the health index obtained after quantifying the health status drops below a preset threshold. The output of the health status results is not strongly correlated with the operation and maintenance actions.

[0076] The energy storage system health assessment method, energy storage system health assessment device, electronic device, and readable storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0077] Among them, the energy storage system health assessment method can be applied to the terminal, and can be executed by the hardware or software in the terminal.

[0078] The energy storage system health assessment method provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can realize the energy storage system health assessment method. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras and wearable devices. The energy storage system health assessment method provided in this application embodiment is described below using an electronic device as the execution subject.

[0079] like Figure 1 As shown, the energy storage system health assessment method includes steps 110, 120 and 130.

[0080] Step 110: Obtain the target indicators of each energy storage battery in the target energy storage system and determine the first weight corresponding to the target indicators; the target indicators include the first target indicators corresponding to the abnormal events of each energy storage battery; the target indicators also include at least one of the second target indicators and the third target indicators of each energy storage battery; the first target indicator is an indicator characterizing the abnormal events; the second target indicator is an indicator characterizing the consistency of the electrochemical parameters of each energy storage battery; the third target indicator is an indicator characterizing the performance of each energy storage battery.

[0081] In practical implementation, the target energy storage system is the energy storage system whose health status needs to be assessed. The target energy storage system may include at least one energy storage battery. In the embodiments of this application, the health status assessment of the target energy storage system is carried out by adding behavioral indicators or adding both behavioral indicators and a third target indicator to the second target indicator of the target energy storage system, thereby expanding the dimensions of the health assessment to obtain more accurate assessment results.

[0082] In some embodiments, an energy storage system may include one or more battery clusters to increase the voltage and capacity of the energy storage system. A battery cluster may include multiple battery devices connected in series via a busbar to increase the voltage of the energy storage system. When the energy storage system includes multiple battery clusters, the battery clusters are connected in parallel to increase the capacity of the energy storage system.

[0083] Energy storage systems can be used in energy storage power stations, wind power generation systems, solar power generation systems, mobile power systems, or temporary power supply systems. An energy storage system can store electrical energy as needed and output it when appropriate. For example, an energy storage system can store electrical energy during off-peak hours and provide power to relevant users or electrical devices during peak hours. The target energy storage system provided in this application embodiment can be any power system that requires energy storage.

[0084] In some embodiments, the energy storage system may be an energy storage container or an energy storage cabinet.

[0085] In some embodiments, the energy storage system may include a cabinet and one or more battery clusters housed within the cabinet.

[0086] In some embodiments, the battery device may be a battery pack, which includes a housing and one or more individual battery cells housed within the housing.

[0087] As an example, the battery cell assembly can be a battery module, which can be housed in a housing by fixing the battery module in the housing.

[0088] In this embodiment of the application, the battery cell can be a secondary battery, which refers to a battery cell that can be recharged to activate the active materials and continue to be used after the battery cell has been discharged.

[0089] The battery cell can be a lithium-ion battery, sodium-ion battery, sodium-lithium-ion battery, lithium metal battery, sodium metal battery, lithium-sulfur battery, magnesium-ion battery, nickel-metal hydride battery, nickel-cadmium battery, lead-acid battery, etc., and the embodiments of this application are not limited to this.

[0090] The battery apparatus mentioned in the embodiments of this application may include one or more battery cell assemblies for providing voltage and capacity. A battery cell assembly may include multiple battery cells connected in series, parallel, or mixed connections via a busbar.

[0091] In some embodiments, a battery cell assembly is typically formed by arranging multiple battery cells.

[0092] As an example, a battery cell assembly can be a battery module, which is formed by arranging and fixing multiple battery cells together to form an independent module. As another example, a battery module can be formed by bundling multiple battery cells together with cable ties.

[0093] It should be noted that the energy storage battery in the target energy storage system refers to a single battery cell.

[0094] In some embodiments, target indicators for each energy storage battery in the target energy storage system are obtained. Target indicators may include a first target indicator corresponding to an abnormal event of each energy storage battery and a second target indicator for each energy storage battery, or may include a first target indicator corresponding to an abnormal event of each energy storage battery and a third target indicator for each energy storage battery, or may include a first target indicator corresponding to an abnormal event of each energy storage battery, a second target indicator for each energy storage battery, and a third target indicator for each energy storage battery.

[0095] In some embodiments, the second target indicator may be a consistency indicator. The second target indicator may be an indicator used to indicate the consistency of various energy storage batteries in the target energy storage system across parameters such as core electrochemical parameters. In some embodiments, the number of the aforementioned parameters may be one or more, and correspondingly, the number of second target indicators may be one or more. In some embodiments, the aforementioned core electrochemical parameters may include at least one of voltage, capacity, and internal resistance.

[0096] In some embodiments, the second target indicator can be a quantitative indicator. In some embodiments, the degree of consistency of each energy storage battery in the target energy storage system in terms of core electrochemical parameters and other parameters can be quantified to obtain the second target indicator.

[0097] In some embodiments, obtaining a second target indicator for each energy storage battery in the target energy storage system may include: obtaining the aforementioned parameters for each energy storage battery; and obtaining a second target indicator for each of the aforementioned parameters to indicate the consistency of each energy storage battery in that parameter.

[0098] In some embodiments, the number of second target indicators can be one or more, typically multiple. Second target indicators may include at least one of voltage differential coefficient, temperature entropy value, and capacity difference rate.

[0099] In some embodiments, the voltage difference coefficient can be used to indicate the degree of difference between the cell voltages of the individual energy storage batteries in a target energy storage system.

[0100] In some embodiments, the voltage difference coefficient can be the standard deviation or variance of the cell voltage of each energy storage battery in the target energy storage system.

[0101] In some embodiments, the voltage difference coefficient can be defined as the ratio between the standard deviation and the average value of the cell voltages of each energy storage battery in the target energy storage system. The voltage difference coefficient can be expressed by the following formula: σ_v = std / average voltage. Where σ_v represents the voltage difference coefficient; std represents the standard deviation of the cell voltages of each energy storage battery; and the average voltage is the average value of the cell voltages of each energy storage battery.

[0102] In some embodiments, the temperature entropy value can be used to indicate the degree of difference in cell temperature between the individual energy storage batteries in a target energy storage system.

[0103] In some embodiments, the temperature entropy value can be defined as the negative of the sum of the products of the proportion of cell temperatures belonging to each temperature zone in the target energy storage system and the natural logarithm of that proportion. The temperature entropy value can be expressed by the following formula: H_t = -Σ[p_i * ln(p_i)]. Wherein, H_t represents the temperature entropy value; p_i represents the proportion of energy storage cells in the target energy storage system whose cell temperatures belong to the i-th temperature zone, that is, the ratio of the number of energy storage cells whose cell temperatures belong to the i-th temperature zone to the total number of energy storage cells in the target energy storage system; i is a positive integer. The specific division of temperature zones is not limited in the embodiments of this application.

[0104] In some embodiments, the capacity difference rate can be used to indicate the degree of difference in capacity between the individual energy storage batteries in a target energy storage system.

[0105] In some embodiments, the capacity difference rate can be the standard deviation or variance of the actual capacity of each energy storage battery in the target energy storage system, or the ratio of the average actual capacity of each energy storage battery to the nominal capacity.

[0106] In some embodiments, the capacity difference rate can be defined as the ratio of the difference between the maximum and minimum actual capacities of each energy storage battery in the target energy storage system to the nominal capacity. The capacity difference rate can be expressed by the following formula: ΔQ = (Qmax - Qmin) / nominal capacity. Wherein, ΔQ represents the capacity difference rate; Qmax and Qmin represent the maximum and minimum actual capacities of each energy storage battery, respectively.

[0107] In some embodiments, the third target indicator may be a performance indicator. The third target indicator can be an indicator used to indicate the performance of each energy storage battery in the target energy storage system. Changes in the third target indicator can reflect performance characteristics such as the dynamic characteristics of energy storage battery performance degradation, for example, changes in charge / discharge efficiency.

[0108] In some embodiments, the third target metric can be a quantitative metric. In some embodiments, the current performance of each energy storage battery in the target energy storage system can be quantified to obtain the third target metric.

[0109] In some embodiments, the number of third target indicators may be one or more, typically multiple. Third target indicators may include indicators of at least one aspect such as capacity retention and cycle efficiency.

[0110] In some embodiments, an abnormal event may also be referred to as a damage event, which is an event that harms the health of the energy storage battery. Abnormal events may include at least one of the following types of events: overcharging, over-discharging, and abnormal temperature.

[0111] In some embodiments, the first target indicator corresponding to an abnormal event of the energy storage battery can be an indicator used to indicate the abnormal event. The first target indicator corresponding to the abnormal event of the energy storage battery can reflect the behavioral characteristics of the energy storage battery. In some embodiments, the number of first target indicators can be one or more, typically multiple.

[0112] In some embodiments, the first target indicator may be a quantitative indicator. In some embodiments, for each abnormal event of each energy storage battery, a quantitative indicator related to the degree of damage caused to the health of the energy storage battery by the abnormal event can be obtained as the first target indicator corresponding to that abnormal event of the energy storage battery. It is understood that the first target indicator corresponding to that abnormal event of the energy storage battery can be used to quantify the degree of damage caused to the health of the energy storage battery by the abnormal event.

[0113] In some embodiments, obtaining a first target indicator corresponding to an abnormal event of each energy storage battery in the target energy storage system may include: for each energy storage battery, performing event detection on the energy storage battery to detect all or a specified time period of abnormal events that have occurred in the energy storage battery; identifying the event type of the detected abnormal events to determine what type of abnormal event each abnormal event is; and for each abnormal event, obtaining the parameter corresponding to the type of the abnormal event as the first target indicator corresponding to the abnormal event.

[0114] In some embodiments, depending on the type of abnormal event, the first target indicator may include at least one of temperature and voltage. This application does not limit the specific first target indicator corresponding to a particular abnormal event.

[0115] In some embodiments, a first weight corresponding to each target indicator can be determined based on the actual state of each energy storage battery in the target energy storage system. The first weight can be used to indicate the relative importance of various target indicators. Each first target indicator, each second target indicator, and each third target indicator can be treated as a category of target indicators.

[0116] In some embodiments, when the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery and a second target indicator for each energy storage battery, a first weight corresponding to the first target indicator and a first weight corresponding to the second target indicator can be determined based on the actual state of each energy storage battery in the target energy storage system. When the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery and a third target indicator for each energy storage battery, a first weight corresponding to the first target indicator and a first weight corresponding to the third target indicator can be determined based on the actual state of each energy storage battery in the target energy storage system. When the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery, a second target indicator for each energy storage battery, and a third target indicator for each energy storage battery, a first weight corresponding to the first target indicator, a first weight corresponding to the second target indicator, and a first weight corresponding to the third target indicator can be determined based on the actual state of each energy storage battery in the target energy storage system.

[0117] In some embodiments, the actual state of the energy storage battery may include at least one of the following: capacity retention rate and the number of charge-discharge cycles performed.

[0118] It is understandable that the primary weights for each type of target indicator are not fixed values, but are determined through dynamic adjustment.

[0119] Step 120: Based on the target indicators, determine the health score corresponding to the target indicators.

[0120] In actual implementation, a health score can be determined for each type of target indicator. When the target indicators include a first target indicator corresponding to anomalies in each energy storage battery and a second target indicator for each energy storage battery, a health score can be determined based on each first target indicator, and a health score can be determined based on each second target indicator. Similarly, when the target indicators include a first target indicator corresponding to anomalies in each energy storage battery and a third target indicator for each energy storage battery, a health score can be determined based on each first target indicator, and a health score can be determined based on each third target indicator. Finally, when the target indicators include a first target indicator corresponding to anomalies in each energy storage battery, a second target indicator, and a third target indicator, a health score can be determined based on each first target indicator, a second target indicator, and a third target indicator.

[0121] In some embodiments, the health score C_s corresponding to each second target indicator can be obtained based on the second target indicator of each energy storage battery.

[0122] In some embodiments, when there are multiple second target indicators, the health score C_s corresponding to each second target indicator can be obtained based on each second target indicator and its corresponding second weight. The second weight can be used to indicate the relative importance of each target indicator in a class of target indicators. When there are multiple second target indicators, the second weight corresponding to each second target indicator can be used to indicate the relative importance of that second target indicator among all second target indicators.

[0123] In some embodiments, the second target indicator can be positively processed, and then the sum of the products of each positively processed second target indicator and the second weight corresponding to the second target indicator can be obtained as the health score C_s corresponding to each second target indicator.

[0124] In some embodiments, positively processing the second target indicator may specifically include: positively processing each second target indicator that is negatively correlated with the health status of the energy storage system, so that the positively processed second target indicator is positively correlated with the health status.

[0125] In some embodiments, a second target indicator that is negatively correlated with health status is positively processed by subtracting the second target indicator from its upper limit (e.g., 1 or 100), or by taking the reciprocal of the second target indicator and mapping it to the range of the second target indicator (e.g., 0 to 1).

[0126] In some embodiments, the second weight corresponding to the second target indicator can be a normalized second weight. For example, when the health score C_s corresponding to each second target indicator is in the range of 0 to 100, the sum of the weights of each second target indicator after normalization is equal to 100; when the health score C_s corresponding to each second target indicator is in the range of 0 to 1, the sum of the second weights corresponding to each second target indicator after normalization is equal to 1.

[0127] In some embodiments, the health score C_s corresponding to each second target indicator can be calculated using the following formula. Where a1, a2, and a3 are the weights of the voltage difference coefficient, temperature entropy value, and capacity difference rate, respectively; , and The voltage difference coefficient, temperature entropy value, and capacity difference rate obtained by the aforementioned formulas are all negatively correlated with the health status. Therefore, the second target indicator is positively processed by subtracting 1 (the upper limit of the value is 1).

[0128] It should be noted that the normalized second weights corresponding to each second target indicator can be determined based on the type of cathode material of the energy storage battery and the temperature of the operating environment. The specific values ​​of each weight after normalization for each second target indicator are not limited in the embodiments of this application. For example, for lithium iron phosphate (LFP) batteries, a1=40, a2=30, a3=30.

[0129] In some embodiments, the health score P_a corresponding to each third target indicator can be obtained based on the third target indicator of each energy storage battery.

[0130] In some embodiments, the health score P_a corresponding to each third target indicator can be determined based on the minimum value among the third target indicators of each energy storage battery. Typically, the third target indicators of energy storage batteries are positively correlated with performance; the better the performance of the energy storage batteries, the healthier the energy storage system. Using the minimum value among the third target indicators of each energy storage battery to determine the corresponding health score P_a can more accurately reflect the "weak link" in the energy storage system, i.e., the health status of the worst-performing energy storage battery. Therefore, the health assessment results of the energy storage system based on this, and subsequent operation and maintenance, can improve the safety of the energy storage system's operation.

[0131] In some embodiments, when there are multiple third target indicators, a weighted sum can be obtained based on the average or median of each third target indicator for each energy storage battery, and the second weight corresponding to each third target indicator, to serve as the health score P_a for each third target indicator. Using the average of the third target indicators for each energy storage battery to determine the health score P_a for each third target indicator can more accurately reflect the average health status of each energy storage battery in the energy storage system. It is understood that when there are multiple third target indicators, the second weight corresponding to each third target indicator can be used to indicate the relative importance of that third target indicator among all the third target indicators.

[0132] In some embodiments, a health score corresponding to each first target indicator can be obtained based on the first target indicator corresponding to the abnormal event of each energy storage battery.

[0133] In some embodiments, the damage caused by abnormal events to energy storage batteries can be quantified based on a first target indicator corresponding to the abnormal events of each energy storage battery, and the quantified damage value can be obtained. Based on the damage value, a health score B_r corresponding to each first target indicator can be obtained. The health score corresponding to each first target indicator can reflect the behavioral characteristics of the abnormal event.

[0134] It is understandable that the greater the damage to the energy storage battery, the worse the health of the energy storage system; the less damage to the energy storage battery, the better the health of the energy storage system. Therefore, the damage value can be subtracted from the upper limit of the health score B_r corresponding to each first target indicator to obtain the health score B_r corresponding to each first target indicator.

[0135] It should be noted that, in order to facilitate the subsequent acquisition of health assessment results of the energy storage system, the health scores C_s corresponding to each second target indicator, the health scores P_a corresponding to each third target indicator, and the health scores B_r corresponding to each first target indicator have the same range, which can all be 0 to 100 or 0 to 1.

[0136] Step 130: Based on the health score and first weight corresponding to the target indicator, determine the health assessment result of the target energy storage system.

[0137] In actual implementation, the first weight corresponding to each target indicator can be used as the weight corresponding to the health score of that type of target indicator, and the weighted sum of the health scores corresponding to each target indicator can be obtained as the health index HI of the target energy storage system.

[0138] In some embodiments, the health index HI of the target energy storage system can be directly used as the health assessment result of the target energy storage system.

[0139] In some embodiments, the health status corresponding to the health index HI of the target energy storage system can be used as the health assessment result of the target energy storage system. The ranges of the health index HI corresponding to various health states of the energy storage system can be predetermined, thereby determining the health status corresponding to the range to which the health index HI of the target energy storage system belongs as the health assessment result of the target energy storage system.

[0140] In some embodiments, the various health states of the energy storage system are not limited in this application. For example, the health state of the energy storage system may include three types: healthy, warning, and dangerous, or it may include five types: very healthy, good, slightly dangerous, moderately dangerous, and severely dangerous.

[0141] In some embodiments, when the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery, a second target indicator for each energy storage battery, and a third target indicator for each energy storage battery, the sum of the products of the health scores C_s, P_a, and B_r corresponding to each second target indicator and their respective weights can be obtained based on the health scores C_s, P_a, and B_r corresponding to each second target indicator and their respective weights. This sum is denoted as the health index HI. The health index HI can serve as a health assessment result for the target energy storage system, indicating the health status of the energy storage system. The larger the health index HI, the better the health status of the energy storage system; the smaller the health index HI, the worse the health status of the energy storage system.

[0142] Health index HI = α·C_s + β·B_r + γ·P_a.

[0143] Wherein, α, β, and γ are the weights corresponding to the health scores C_s, B_r, and P_a of each second target indicator, respectively, that is, the first weights of each second target indicator, the first weights of each third target indicator, and the first weights of each first target indicator, and α+β+γ=1.

[0144] In some embodiments, when the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery and a second target indicator for each energy storage battery, the sum of the products of the health scores C_s and B_r corresponding to each second target indicator and their respective weights can be obtained based on the health scores C_s and B_r corresponding to each first target indicator, and the weights corresponding to the health scores C_s and B_r corresponding to each second target indicator. This sum is denoted as the health index HI. The sum of the weights corresponding to the health scores C_s and B_r corresponding to the second target indicator can be 1.

[0145] In some embodiments, when the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery and a third target indicator for each energy storage battery, the sum of the products of the health scores P_a and B_r corresponding to each third target indicator and their respective weights can be obtained based on the health scores P_a and B_r corresponding to each first target indicator and their respective weights. This sum is denoted as the health index HI. The sum of the weights corresponding to the health scores P_a and B_r corresponding to the third target indicator can be 1.

[0146] According to the energy storage system health assessment method provided in the embodiments of this application, the health status of the energy storage system is assessed through a multi-dimensional data fusion architecture. The assessment integrates indicators from multiple dimensions, such as the consistency, behavioral characteristics, and performance characteristics of the energy storage system, to improve the long-term prediction bias caused by the lack of hidden damage monitoring in the target energy storage system. This method can solve the core problems related to the single dimension and lack of quantitative analysis of damage events in traditional health assessments, improve the accuracy and reliability of energy storage system health assessment, and enhance the application value of energy storage system health assessment.

[0147] In some embodiments of this application, determining the first weight corresponding to the target indicator includes: determining the first weight corresponding to the target indicator based on the stage and / or capacity retention rate of each energy storage battery in its life cycle.

[0148] In actual implementation, the primary weight of each target indicator can be determined based on the stage of each energy storage battery in its life cycle.

[0149] In some embodiments, the lifecycle of an energy storage battery can be divided into three stages: initial operation period, stable operation period, and performance degradation period. The lifecycle can be divided based on the number of charge-discharge cycles. In some embodiments, the number of charge-discharge cycles of an energy storage battery falls within 0-700, 700-1500, and 1500, respectively, which can be considered the initial operation period, stable operation period, and performance degradation period.

[0150] In some embodiments, the stage in the life cycle of each energy storage battery can be determined, and then the number of energy storage batteries in each stage can be counted. The stage with the most energy storage batteries is determined as the stage in the life cycle of the energy storage system. Then, based on the stage in the life cycle of the energy storage system, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator are determined.

[0151] In some embodiments, during the initial operation phase, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator can be 0.5, 0.3, and 0.2, respectively, to enhance consistency monitoring and prevent early failures.

[0152] In some embodiments, during the stable operation period, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator can be 0.3, 0.3, and 0.4, respectively, to balance risk monitoring and the third target indicators.

[0153] In some embodiments, during the performance degradation period, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator can be 0.25:0.20:0.55, respectively, to focus on capacity maintenance and extend lifetime.

[0154] It should be noted that the above-mentioned stage division of the energy storage battery life cycle, the basis for the division, and the first weight corresponding to each second target indicator, each third target indicator, and each first target indicator in each stage are only illustrative examples and may not be limited to the above situations.

[0155] In some embodiments, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator can be determined based on the capacity retention rate of each energy storage battery.

[0156] In some embodiments, when the capacity retention rate decreases (e.g., the number of energy storage batteries with a capacity retention rate lower than the target threshold is greater than or equal to a quantity threshold, or the proportion of energy storage batteries with a capacity retention rate lower than the target threshold to the total number of energy storage batteries is greater than or equal to a proportion threshold, or the capacity retention rate of at least one energy storage battery is lower than the target threshold, etc.), the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator are adjusted to target values ​​to strengthen the attenuation warning.

[0157] It should be noted that the target threshold, quantity threshold, proportion threshold, and target value can be set according to actual conditions. The specific values ​​of the target threshold, quantity threshold, proportion threshold, and target value are not limited in the embodiments of this application.

[0158] For example, the target threshold can be 0.85, and the target value can include the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator, which are 0.2:0.3:0.5 respectively.

[0159] In some embodiments, the capacity retention rate η_Q can be defined as the ratio of actual capacity to rated capacity, i.e., η_Q = actual capacity / rated capacity.

[0160] In some embodiments, the first weight α corresponding to each second target indicator, the first weight β corresponding to each first target indicator, and the first weight γ corresponding to each third target indicator can be determined by combining the stage of each energy storage battery in its life cycle and the decline in its capacity retention rate.

[0161] It is understood that the above embodiments use the case where the target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery, a second target indicator of each energy storage battery, and a third target indicator of each energy storage battery as examples to illustrate the process of determining the first weight corresponding to each target indicator. Based on the above embodiments, those skilled in the art can understand the process of determining the first weight corresponding to each target indicator in the cases where the target indicators include the first target indicator corresponding to an abnormal event of each energy storage battery and the second target indicator of each energy storage battery, the cases where the target indicators include the first target indicator corresponding to an abnormal event of each energy storage battery and the third target indicator of each energy storage battery, and other cases.

[0162] According to the energy storage system health assessment method provided in the embodiments of this application, by dynamically adjusting the first weight corresponding to the target index based on the stage and / or capacity retention rate of each energy storage battery in its life cycle, it can adapt to the health assessment needs of different life cycles of the energy storage system, improve the assessment error caused by the static weight of the target energy storage system, improve the accuracy and reliability of the energy storage system health assessment, and enhance the application value of the energy storage system health assessment.

[0163] In some embodiments of this application, the health score corresponding to the target index is determined based on the target index, including: obtaining the total damage to the health of the target energy storage system by each abnormal event based on the first target index corresponding to each abnormal event of each energy storage battery.

[0164] In practical implementation, based on the primary target indicator corresponding to each abnormal event of each energy storage battery, and according to the damage event quantification model, the damage of the abnormal event to the health of the energy storage battery can be quantified to obtain the damage value of the abnormal event to the health of the energy storage battery. The damage event quantification model can be used to indicate the relationship between the primary target indicator corresponding to the abnormal event and the damage of the abnormal event to the health of the energy storage battery.

[0165] In some embodiments, the injury event quantification model may be a model trained through experiments and / or artificial intelligence methods such as deep learning.

[0166] In some embodiments, the total damage to the health of the target energy storage system can be obtained by accumulating the damage values ​​of each abnormal event of each energy storage battery to the health of the energy storage battery.

[0167] Based on the total damage, determine the health score corresponding to the first target indicator.

[0168] In actual implementation, the health score corresponding to the first target indicator can be obtained by subtracting the upper limit of the health score B_r corresponding to the first target indicator from the total damage to the health of the target energy storage system caused by each abnormal event of each energy storage battery.

[0169] According to the energy storage system health assessment method provided in the embodiments of this application, the total damage of abnormal events of energy storage batteries to the health of the target energy storage system is quantified based on the first target index corresponding to the abnormal events of each energy storage battery, and the health status of the target energy storage system is assessed based on the quantified total damage, which enables a more accurate health assessment of the energy storage system.

[0170] In some embodiments of this application, the total damage to the health of the energy storage system by each abnormal event is obtained based on a first target index corresponding to each abnormal event of each energy storage battery, including: obtaining the damage to the health of the energy storage battery by each abnormal event based on the first target index corresponding to each abnormal event of each energy storage battery.

[0171] In practice, the damage event quantification model can include multiple sub-models. Each sub-model can be used to quantify the damage caused to the energy storage battery by a certain type of anomalous event. That is, each sub-model can correspond to a type of anomalous event. Specifically, the sub-model can be used to indicate the relationship between the primary target indicator corresponding to the anomalous event and the damage caused to the energy storage battery by that anomalous event.

[0172] In some embodiments, each sub-model can be a model obtained by training through experiments and / or artificial intelligence methods such as deep learning.

[0173] For each energy storage battery, for each abnormal event, based on the sub-model corresponding to the type of the abnormal event and the first target index corresponding to the abnormal event, the damage caused by the abnormal event to the energy storage battery can be quantified to obtain the damage value corresponding to the abnormal event. The damage value corresponding to the abnormal event can be used to indicate the damage of the abnormal event to the health of the energy storage battery.

[0174] The total damage is obtained based on the damage to the health of the energy storage battery caused by each abnormal event and the weight corresponding to the type of each abnormal event; the types of abnormal events include at least one of the following: overcharging, over-discharging, prolonged storage, high temperature abnormality, and low temperature abnormality.

[0175] In actual implementation, based on the damage values ​​of all abnormal events of the energy storage battery, the total damage of all abnormal events of the energy storage battery to the health of the target energy storage system can be obtained.

[0176] In some embodiments, the damage values ​​of all abnormal events of all energy storage batteries can be accumulated or summed to obtain the total damage to the health of the target energy storage system caused by all abnormal events of all energy storage batteries.

[0177] In some embodiments, the weighted sum of the damage values ​​of all abnormal events of all energy storage batteries can be obtained as the total damage to the health of the target energy storage system caused by all abnormal events of all energy storage batteries.

[0178] It is understood that the above weighted sum can be obtained based on the weight of each abnormal event in the energy storage battery. The specific value of the weight for each abnormal event is not limited in this application.

[0179] In some embodiments, the weight of anomalies can be determined based on the stage of the energy storage battery's lifecycle in which the anomaly occurs. In some embodiments, anomalies occurring in the early and late stages of the energy storage battery's lifecycle may have a greater weight than those occurring in the middle stages.

[0180] In some embodiments, the weight of an exception event can be determined based on the type of the exception event. The weight of an exception event can be equal to the weight corresponding to the type of the exception event.

[0181] In some embodiments, the types of abnormal events may include at least one of the following: overcharging, over-discharging, prolonged storage, high temperature abnormality, and low temperature abnormality.

[0182] In some embodiments, overcharging can refer to the voltage of the energy storage battery exceeding the maximum permissible voltage Vmax. Overcharging occurs during the charging process of the energy storage battery. The value of the maximum permissible voltage Vmax can be determined according to the type of positive electrode material of the energy storage battery, etc., and the specific value of the maximum permissible voltage Vmax is not limited in the embodiments of this application. For example, for lithium iron phosphate batteries, the maximum permissible voltage Vmax can be 3.65V, etc.

[0183] In some embodiments, over-discharge can refer to the voltage of the energy storage battery falling below the minimum permissible voltage Vmin. Over-discharge occurs during the discharge of the energy storage battery to a load. The value of the minimum permissible voltage Vmin can be determined based on factors such as the type of positive electrode material of the energy storage battery; however, this application does not limit the specific value of the minimum permissible voltage Vmin. For example, for lithium iron phosphate batteries, the minimum permissible voltage Vmin can be 2.5V, etc.

[0184] In some embodiments, "long-term storage" can refer to a situation where the voltage of a storage battery is too low due to self-discharge during a period of time.

[0185] In some embodiments, a high-temperature anomaly can refer to the temperature of the energy storage battery (typically the temperature of the battery cell) exceeding the maximum safe temperature Tsafe. The value of the maximum safe temperature Tsafe can be determined based on the type of positive electrode material of the energy storage battery and the climate or temperature conditions of the operating environment, etc. This application does not limit the specific value of the maximum safe temperature Tsafe. For example, for lithium iron phosphate batteries, the maximum safe temperature Tsafe can be 45°C, etc.

[0186] In some embodiments, a low-temperature anomaly can refer to the temperature of the energy storage battery (typically the temperature of the battery cell) falling below the minimum safe temperature T_low_threshold. The value of the minimum safe temperature T_low_threshold can be determined based on the type of cathode material of the energy storage battery and the climate or temperature conditions of the operating environment. This application does not limit the specific value of the minimum safe temperature T_low_threshold. For example, for lithium iron phosphate batteries, the minimum safe temperature T_low_threshold can be 0°C, etc.

[0187] In some embodiments, taking the upper limit of the health score B_r corresponding to the first target indicator as 100 as an example, the health score B_r corresponding to the first target indicator can be calculated by the following formula.

[0188] B_r=100-min(100,∑Sij wij).

[0189] Where Sij represents the damage value corresponding to the i-th abnormal event of the j-th energy storage battery; wij represents the weight of the i-th abnormal event of the j-th energy storage battery; i is a positive integer; j is a positive integer.

[0190] In some embodiments, the weight of the i-th abnormal event is the weight corresponding to the type of the i-th abnormal event. In some embodiments, the weights for the types of abnormal events such as overcharging, over-discharging, prolonged storage, high temperature abnormality, and low temperature abnormality can be 1.0, 1.2, 0.8, 1.1, and 0.9, respectively, but are not limited thereto.

[0191] It is understandable that the formula for the health score B_r corresponding to the first target indicator mentioned above includes a limiting process, that is, the total damage to the health of the target energy storage system caused by all abnormal events of all energy storage batteries (referring to ∑Si). If wi) exceeds 100, the total damage mentioned above is counted as 100, indicating that there is a 100% risk of action.

[0192] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of each abnormal event to the health of the energy storage battery is obtained by using a first target index corresponding to each abnormal event. The total damage is obtained based on the damage of each abnormal event to the health of each energy storage battery and the weight corresponding to the type of each abnormal event. The method considers the different degrees of damage or impact on the health of the energy storage battery caused by different types of abnormal events in obtaining the total damage, thereby obtaining a health score corresponding to the first target index with higher accuracy. Based on this, a more accurate health assessment of the energy storage system can be performed.

[0193] In some embodiments of this application, the target indicators of each energy storage battery in the target energy storage system are obtained, including at least one of the following:

[0194] For each overcharge-type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the first target time period in the abnormal event and the voltage of the energy storage battery in the first target time period; the first target time period is the period when the voltage of the energy storage battery is higher than the maximum allowable voltage.

[0195] For each over-discharge type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the second target time period in the abnormal event, the voltage of the energy storage battery in the second target time period, and the number of over-discharges within the discharge cycle of the abnormal event; the target time period is the period when the voltage of the energy storage battery is lower than the minimum allowable voltage.

[0196] For each long-term storage type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the duration of the energy storage battery in the static state during the abnormal event and the change in the state of charge in the static state; the static state is a state of not charging and not discharging.

[0197] For each abnormal event of high temperature anomaly type for each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the temperature of the energy storage battery in the third target time period during the abnormal event; the third target time period is the period during which the temperature of the energy storage battery is higher than the maximum safe temperature.

[0198] For each abnormal event of low temperature anomaly type for each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the temperature of the energy storage battery in the fourth target time period during the abnormal event; the fourth target time period is the period during which the temperature of the energy storage battery is lower than the minimum safe temperature.

[0199] In actual implementation, for any overcharge-type abnormal event of any energy storage battery, the first target indicator corresponding to the abnormal event may include the period during which the voltage of the energy storage battery is higher than the maximum allowable voltage, and the voltage of the energy storage battery during that period. The period during which the voltage of the energy storage battery is higher than the maximum allowable voltage Vmax can be referred to as the first target period.

[0200] For any over-discharge anomaly of any energy storage battery, the first target indicator corresponding to the anomaly may include the time period during which the energy storage battery's voltage is lower than the minimum allowable voltage Vmin, the energy storage battery's voltage Vmin during that time period, and the number of over-discharges within the discharge cycles included in the anomaly. The time period during which the energy storage battery's voltage is lower than the minimum allowable voltage Vmin can be referred to as the second target time period.

[0201] For any prolonged storage-type abnormal event of any energy storage battery, the first target indicator corresponding to the abnormal event may include the duration of the energy storage battery's quiescent state and the change in the state of charge (SoC) during the quiescent state. The duration of the energy storage battery's quiescent state can also be regarded as the fifth target time period.

[0202] For any abnormal event of any type of high temperature anomaly in any energy storage battery, the first target indicator corresponding to the abnormal event may include the time period during which the temperature of the energy storage battery is higher than the maximum safe temperature Tsafe, and the temperature of the energy storage battery during that time period. The time period during which the temperature of the energy storage battery is higher than the maximum safe temperature Tsafe can be referred to as the third target time period.

[0203] For any low-temperature anomaly event of any energy storage battery, the first target indicator corresponding to the anomaly event may include the time period during which the temperature of the energy storage battery is below the minimum safe temperature T_low_threshold, and the temperature of the energy storage battery during that time period. The time period during which the temperature of the energy storage battery is below the minimum safe temperature T_low_threshold can be referred to as the fourth target time period.

[0204] According to the energy storage system health assessment method provided in the embodiments of this application, by targeting different types of abnormal events, the target time period of the abnormal event and the voltage, temperature or state of charge within the target time period are obtained as some or all of the first target indicators. This allows for the quantification of the damage of the abnormal event to the health of the energy storage battery based on the first target indicators corresponding to the abnormal event, and the acquisition of a health score corresponding to the first target indicators with higher accuracy. This enables a more accurate health assessment of the energy storage system based on the first target indicators.

[0205] In some embodiments of the present application, for each energy storage battery, based on the first target index corresponding to each abnormal event, the damage to the health of the energy storage battery caused by the abnormal event is obtained, including:

[0206] For each abnormal event of overcharge type for each energy storage battery, based on the magnitude of the voltage higher than the maximum allowable voltage in the first target time period, the first coefficient is obtained;

[0207] Based on the first coefficient and the difference between the voltage and the maximum allowable voltage in the first target time period, the damage to the health of the energy storage battery caused by the abnormal event is obtained.

[0208] In actual implementation, for each abnormal event of overcharge type for each energy storage battery, the difference between the voltage Vt of the energy storage battery in the first target time period and the maximum allowable voltage Vmax can be integrated to obtain the damage to the health of the energy storage battery caused by the abnormal event. The units of the voltage Vt and the maximum allowable voltage Vmax can both be volts (V).

[0209] In some embodiments, the integral can be multiplied by the first coefficient k1 as the damage to the health of the energy storage battery caused by the abnormal event. It can be expressed by the following formula:

[0210] .

[0211] Wherein, [[ID=表示过充类型的异常事件对储能电池健康的伤害;t1和t2分别表示第一目标时间段的起止时刻,单位可以为秒(s)。

[0212] In some embodiments, the first coefficient k1 can be referred to as the overcharge damage coefficient. The first coefficient k1 can be a fixed value (such as 1 or 1.2, etc., but not limited thereto), or can be determined according to the difference between the voltage Vt of the energy storage battery and the maximum allowable voltage Vmax in the first target time period.

[0213] For example, when Vt ≤ Vmax + 0.1V, the first coefficient k1 can be 0.8; when Vmax + 0.1V < Vt ≤ Vmax + 0.3V, the first coefficient k1 can be 1.2; when Vt > Vmax + 0.3V, the first coefficient k1 can be 1.6.[[ID=2,8]]

[0214] It should be noted that as the difference between the voltage Vt of the energy storage battery and the maximum allowable voltage Vmax in the first target time period increases, the first coefficient k1 remains unchanged or increases.

[0215] It seems there is an error in the original text where the description of "表示过充类型的异常事件对储能电池健康的伤害;t1和t2分别表示第一目标时间段的起止时刻,单位可以为秒(s)。" is incomplete in the English translation. It should be something like "represents the damage to the health of the energy storage battery caused by the abnormal event of overcharge type; t1 and t2 respectively represent the start and end times of the first target time period, and the unit can be seconds (s)." Please check and correct if necessary.For example, regarding an overcharge-type anomaly of a certain energy storage battery, if the battery voltage Vt is detected to reach 3.75V and remain there for 30 seconds, and the maximum allowable voltage Vmax is 3.65V, then...

[0216] .

[0217] In some embodiments, when the voltage Vt of the energy storage battery is a fixed value during the first target time period, the integration in obtaining the damage to the health of the energy storage battery caused by the abnormal event can be simplified to obtaining the product of the difference between the voltage Vt of the energy storage battery and the maximum allowable voltage Vmax during the first target time period and the duration of the first target time period.

[0218] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of abnormal events to the health of energy storage batteries can be obtained based on a first coefficient and the difference between the voltage and the maximum allowable voltage during a first target time period. This method can more accurately quantify the damage of overcharge-type abnormal events to energy storage batteries and obtain a health score corresponding to a more accurate first target indicator, thereby enabling a more accurate health assessment of the energy storage system.

[0219] In some embodiments of this application, for each energy storage battery, the damage to the health of the energy storage battery caused by the abnormal event is obtained based on a first target indicator corresponding to each abnormal event, including:

[0220] For each over-discharge type abnormal event of each energy storage battery, a second coefficient is obtained based on the voltage and number of events during the second target time period;

[0221] Based on the second coefficient and the difference between the minimum allowable voltage and the voltage during the second target time period, the damage of abnormal events to the health of the energy storage battery is obtained.

[0222] In actual implementation, for each over-discharge type abnormal event of each energy storage battery, the difference between the minimum allowable voltage Vmin and the voltage Vt of that energy storage battery during the second target time period can be integrated to obtain the damage to the health of the energy storage battery caused by the abnormal event. The units of voltage Vt and minimum allowable voltage Vmin can both be volts (V).

[0223] In some embodiments, the integral can be multiplied by a second coefficient k2 to represent the damage to the health of the energy storage battery caused by the acquisition anomaly. This can be expressed by the following formula:

[0224] .

[0225] in, This indicates the damage to the health of the energy storage battery caused by an abnormal event of over-discharge; t1 and t2 represent the start and end times of the second target time period, respectively, and the unit can be seconds (s).

[0226] In some embodiments, the second coefficient k2 may be referred to as the over-discharge damage coefficient. The second coefficient k2 may be a fixed value (e.g., 1 or 0.9, but not limited thereto), or it may be determined based on the voltage Vt of the energy storage battery during the second target time period, the minimum allowable voltage Vmin, and the number of over-discharges t within the discharge cycles included in the abnormal event.

[0227] In some embodiments, the difference between the minimum allowable voltage Vmin and the voltage Vt of the energy storage battery during the second target time period can be obtained, divided by the ratio of the minimum allowable voltage Vmin to the theoretical minimum voltage of the energy storage battery (a constant, related to the chemical properties of the energy storage battery, in units of V), and the product of this ratio and the state of charge (SOCt) of the energy storage battery during the abnormal event with the number of occurrences t, as the second coefficient k2. This can be expressed by the following formula:

[0228] .

[0229] In the formula, 2 is a schematic example of the theoretical minimum voltage of the energy storage battery, and it is not limited to this; 0.2 is a schematic example of 1 minus the state of charge SOCt (taking SOCt=0.8 as an example), and it is not limited to this.

[0230] It should be noted that introducing 1 minus the state of charge (SOCt) can enhance the damage weighting when the battery is low, meaning that the lower the battery's charge level, the greater the damage to the battery's health caused by over-discharge-type abnormal events.

[0231] For example, regarding an over-discharge anomaly of a certain energy storage battery, if it is detected that the battery voltage Vt drops to 2.3V and remains there for 60 seconds at the end of the discharge, the state of charge (SOCt) is 0.8, the minimum allowable voltage Vmin is 2V, and the theoretical minimum voltage of the energy storage battery is 2V, then...

[0232] 7.2.

[0233] In some embodiments, when the voltage Vt of the energy storage battery is a fixed value during the second target time period, the integration in obtaining the damage to the health of the energy storage battery caused by the abnormal event can be simplified to the product of the difference between the minimum allowable voltage Vmin and the voltage Vt of the energy storage battery during the second target time period and the duration of the second target time period.

[0234] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of the abnormal event to the health of the energy storage battery is obtained by using a second coefficient, the difference between the minimum allowable voltage and the voltage during the second target time period, and the number of over-discharge cycles included in the abnormal event. This method can more accurately quantify the damage of over-discharge type abnormal events to the energy storage battery and obtain a health score corresponding to the first target indicator with higher accuracy, thereby conducting a more accurate health assessment of the energy storage system based on this score.

[0235] In some embodiments of this application, for each energy storage battery, the damage to the health of the energy storage battery caused by the abnormal event is obtained based on the first target index corresponding to each abnormal event, including: for each long-term storage type abnormal event of each energy storage battery, the damage to the health of the abnormal event is obtained based on the third coefficient, the duration and the change in state of charge; the third coefficient is determined according to the ambient temperature.

[0236] In actual implementation, for each long-term storage type abnormal event of each energy storage battery, the product of the duration of the energy storage battery's resting state (Tidle, which can be in days) and the change in state of charge (ΔSOC, which can be in %) during the resting state can be obtained as the damage to the health of the energy storage battery caused by the abnormal event.

[0237] In some embodiments, the integral can be multiplied by a third coefficient k3 to represent the damage to the health of the energy storage battery caused by the acquisition anomaly. This can be expressed by the following formula:

[0238] .

[0239] In some embodiments, the third coefficient k3 can be referred to as the static damage coefficient. The third coefficient k3 can be determined based on the ambient temperature. The specific value of the third coefficient k3 and its relationship with the ambient temperature are not limited in the embodiments of this application. For example, when the ambient temperature T ≥ 40℃, the third coefficient k3 can be 1.2; when -10℃ < ambient temperature T < 40℃, the third coefficient k3 can be 0.5; when the ambient temperature T ≤ -10℃, the third coefficient k3 can be 1.1, but is not limited thereto.

[0240] For example, if a battery is left to stand for 30 days, and its SOC decreases from 40% to 20% at an ambient temperature of 40°C, then...

[0241] .

[0242] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of abnormal events to the health of energy storage batteries is obtained by using a third coefficient, the duration of the energy storage battery's quiescent state, and the change in state of charge during the duration of the quiescent state. This method can more accurately quantify the damage of long-term quiescent abnormal events to energy storage batteries and obtain a health score corresponding to a more accurate first target indicator, thereby enabling a more accurate health assessment of the energy storage system.

[0243] In some embodiments of this application, for each energy storage battery, the damage to the health of the energy storage battery caused by the abnormal event is obtained based on the first target index corresponding to each abnormal event, including: for each abnormal event of the high temperature abnormality type of each energy storage battery, the damage to the health of the abnormal event caused by the abnormal event is obtained based on the fourth coefficient and the difference between the temperature of the third target time period and the maximum safe temperature.

[0244] In actual implementation, for each high-temperature anomaly of each energy storage battery, the difference between the battery's temperature T_actual and the maximum safe temperature Tsafe during the third target time period can be integrated to obtain the damage to the battery's health caused by the anomaly. The units for both the temperature T_actual and the maximum safe temperature Tsafe during the third target time period can be degrees Celsius (°C).

[0245] In some embodiments, the integral can be multiplied by a fourth coefficient k4 to represent the damage to the health of the energy storage battery caused by the acquisition anomaly. This can be expressed by the following formula:

[0246] .

[0247] in, The abnormal event representing the high temperature anomaly type causes damage to the health of the energy storage battery; t1 and t2 represent the start and end times of the third target time period, respectively, and the unit can be seconds (s).

[0248] In some embodiments, the fourth coefficient k4 may be referred to as the high-temperature damage coefficient. The fourth coefficient k4 may be a fixed value (e.g., 1.1 or 1.0, but not limited thereto).

[0249] In some embodiments, the maximum value Tmax of the energy storage battery's temperature T_actual during the third target time period can be obtained; the product of the fourth coefficient k4, the difference between Tmax and the highest safe temperature Tsafe, and the duration th of the third target time period can be obtained as the damage to the energy storage battery's health caused by an abnormal event of the high temperature anomaly type. This can be expressed by the following formula:

[0250] .

[0251] For example, if the cell temperature of an energy storage battery reaches 60°C for 0.5 hours, the maximum safe temperature Tsafe is 45°C, and the fourth coefficient k4 is 1.1, then...

[0252] .

[0253] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of abnormal events to the health of the energy storage battery is obtained based on the fourth coefficient and the difference between the temperature of the energy storage battery and the maximum safe temperature during the third target time period. This method can more accurately quantify the damage of abnormal events of the high temperature abnormality type to the energy storage battery and obtain a health score corresponding to the first target indicator with higher accuracy, thereby conducting a more accurate health assessment of the energy storage system based on it.

[0254] In some embodiments of this application, for each energy storage battery, the damage to the health of the energy storage battery caused by the abnormal event is obtained based on the first target index corresponding to each abnormal event, including: for each abnormal event of the low temperature abnormality type of each energy storage battery, the damage to the health of the abnormal event caused by the abnormal event is obtained based on the fifth coefficient and the temperature difference between the minimum safe temperature and the fourth target time period.

[0255] In actual implementation, for each low-temperature anomaly of each energy storage battery, the difference between the highest safe temperature Tsafe and the temperature T_actual of the energy storage battery during the fourth target time period can be integrated to obtain the damage to the health of the energy storage battery caused by the anomaly. The units of the temperature T_actual during the fourth target time period and the highest safe temperature Tsafe can both be degrees Celsius (°C).

[0256] In some embodiments, the integral can be multiplied by a fifth coefficient k5 to represent the damage to the health of the energy storage battery caused by the acquisition anomaly. This can be expressed by the following formula:

[0257] .

[0258] in, The abnormal event representing the low temperature anomaly type causes damage to the health of the energy storage battery; t1 and t2 represent the start and end times of the fourth target time period, respectively, and the unit can be seconds (s).

[0259] In some embodiments, the fifth coefficient k5 may be referred to as the low-temperature damage coefficient. The fifth coefficient k5 may be a fixed value (e.g., 1.0 or 0.95, but not limited thereto).

[0260] In some embodiments, the minimum value Tmin of the energy storage battery's temperature T_actual during the fourth target time period can be obtained; the product of the fifth coefficient k5, the difference between the minimum safe temperature T_low_threshold and Tmin, and the duration th of the fourth target time period is used as the damage to the energy storage battery's health caused by an abnormal event of low temperature anomaly type. This can be expressed by the following formula:

[0261] .

[0262] For example, if the cell temperature of an energy storage battery reaches -5℃ for 3 hours, the minimum safe temperature T_low_threshold is 0℃, and the fifth coefficient k5 is 1.0, then...

[0263] .

[0264] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of abnormal events to the health of the energy storage battery is obtained based on the fifth coefficient and the temperature difference between the lowest safe temperature and the fourth target time period. This method can more accurately quantify the damage of abnormal events of the low temperature abnormality type to the energy storage battery and obtain a health score corresponding to the first target indicator with higher accuracy, thereby conducting a more accurate health assessment of the energy storage system based on it.

[0265] In some embodiments of this application, the third target metric includes at least one of capacity retention and cycle efficiency.

[0266] In actual implementation, the third target metric may include capacity retention rate η_Q and / or cycle efficiency η_c. Capacity retention rate η_Q has been described in the preceding embodiments and will not be repeated here to avoid repetition.

[0267] In some embodiments, the cycle efficiency η_c can be defined as the ratio of discharge capacity to charge capacity, i.e., η_c = discharge capacity / charge capacity.

[0268] According to the energy storage system health assessment method provided in the embodiments of this application, the health status of the target energy storage system is assessed based on the capacity retention rate and cycle efficiency of each energy storage battery, and the health score corresponding to each third target indicator is obtained. This method can more accurately reflect the health status of the energy storage system, thereby enabling a more accurate health assessment of the energy storage system.

[0269] In some embodiments of this application, determining the health score corresponding to the target indicator based on the target indicator includes: determining a first score corresponding to each energy storage battery based on a first target indicator for each energy storage battery, and determining the health score corresponding to the first target indicator by taking the minimum value among multiple first scores; and / or, determining a second score corresponding to each energy storage battery based on a third target indicator for each energy storage battery, and determining the health score corresponding to the third target indicator by taking the minimum value among multiple second scores.

[0270] In actual implementation, for each energy storage battery, the first target index corresponding to the abnormal event of that energy storage battery can be input into the trained evaluation model to obtain the first score corresponding to that energy storage battery.

[0271] In some embodiments, the evaluation model can be used to indicate the relationship between a first target indicator corresponding to an abnormal event and the health status of the energy storage battery.

[0272] In some embodiments, the evaluation model may be a model obtained by training through experiments and / or artificial intelligence methods such as deep learning.

[0273] In some embodiments, when the energy storage system includes at least two energy storage batteries, the minimum value of the first score corresponding to each energy storage battery can be determined as the health score B_r corresponding to each first target indicator.

[0274] In some embodiments, taking the upper limit of the health score B_r corresponding to the first target indicator as 100 as an example, the first score B_j corresponding to the j-th energy storage battery can be calculated by the following formula (j is a positive integer).

[0275] B_j=100-min(100,∑Si wi).

[0276] Where Si represents the damage value of the i-th abnormal event; wi represents the weight of the i-th abnormal event; and i is a positive integer.

[0277] In some embodiments, the weight of the i-th abnormal event is the weight corresponding to the type of the i-th abnormal event. In some embodiments, the weights for the types of abnormal events such as overcharging, over-discharging, prolonged storage, high temperature abnormality, and low temperature abnormality can be 1.0, 1.2, 0.8, 1.1, and 0.9, respectively, but are not limited thereto.

[0278] Understandably, the formula for the first rating B_j above includes a limiting factor, which is the total damage to the health of the energy storage battery from all abnormal events (referring to ∑Si). If wi) exceeds 100, the total damage mentioned above is counted as 100, indicating that there is a 100% risk of action.

[0279] Understandably, determining the minimum value among the first scores corresponding to each energy storage battery as the health score B_r corresponding to each first target indicator can more accurately reflect the "weak link" in the energy storage system, namely the health status of the energy storage battery that is most damaged. Therefore, the health assessment results of the energy storage system based on this and subsequent operation and maintenance can improve the safety of the energy storage system operation.

[0280] According to the energy storage system health assessment method provided in the embodiments of this application, the health status of each energy storage battery is assessed based on the first target index corresponding to the abnormal event of each energy storage battery, and the first score corresponding to each energy storage battery is obtained. The minimum value of the first scores corresponding to each energy storage battery is determined as the health score corresponding to each first target index. This method can more accurately reflect the health status of the energy storage battery that suffers the most damage caused by the abnormal event in the energy storage system, thereby enabling a more accurate health assessment of the energy storage system.

[0281] In some embodiments, the health status of each energy storage battery can be assessed based on a third target indicator to obtain a second score for that energy storage battery.

[0282] In some embodiments, when the energy storage system includes at least two energy storage batteries, the minimum value of the second score corresponding to each energy storage battery can be determined as the health score P_a corresponding to each third target indicator.

[0283] In some embodiments, when the third target indicators include capacity retention and cycle efficiency, the second score P_j corresponding to the j-th energy storage battery can be calculated by the following formula (j is a positive integer).

[0284] .

[0285] Where b1 and b2 are the weights for capacity retention and cycle efficiency, respectively.

[0286] In some embodiments, the second weight corresponding to the third target indicator can be a normalized weight. For example, when the health score P_a corresponding to each third target indicator is in the range of 0 to 100, after normalization, the sum of the second weights corresponding to each third target indicator is equal to 100; when the health score P_a corresponding to each third target indicator is in the range of 0 to 1, after normalization, the sum of the second weights corresponding to each third target indicator is equal to 1.

[0287] It should be noted that a data table showing the changes in capacity retention and cycle efficiency over time can be obtained through experiments. The calculated values ​​can be compared with this table and mapped to a range of 0 to 1, where 1 represents normal and 0 represents abnormal.

[0288] It should be noted that the normalized second weights corresponding to each third target indicator can be determined based on the type of cathode material of the energy storage battery and the temperature of the operating environment. The specific values ​​of the normalized second weights corresponding to each second target indicator are not limited in this embodiment. For example, b1=50, b2=50, but are not limited to this.

[0289] According to the energy storage system health assessment method provided in the embodiments of this application, the health status of each energy storage battery is assessed based on a third target indicator, and a second score is obtained for each energy storage battery. The minimum value among the second scores of each energy storage battery is determined as the health score corresponding to each third target indicator. This method can more accurately reflect the health status of the energy storage battery with the worst performance in the energy storage system, thereby enabling a more accurate health assessment of the energy storage system.

[0290] In some embodiments of this application, a first score is determined for each energy storage battery based on a first target indicator, including: obtaining the total damage to the health of each energy storage battery caused by each abnormal event based on the first target indicator corresponding to each abnormal event of each energy storage battery.

[0291] In actual implementation, the damage caused to the energy storage battery by each abnormal event can be quantified based on the first target index corresponding to each abnormal event of each energy storage battery according to the damage event quantification model. The quantified total damage to the energy storage battery by each abnormal event is then obtained.

[0292] In some embodiments, the damage event quantification model can be used to indicate the relationship between a first target indicator corresponding to an abnormal event and the damage caused by the abnormal event to the energy storage battery.

[0293] In some embodiments, the injury event quantification model may be a model trained through experiments and / or artificial intelligence methods such as deep learning.

[0294] In some embodiments, the total damage to the health of each abnormal event is obtained based on the first target index corresponding to each abnormal event of each energy storage battery: the damage of the abnormal event to the health of the energy storage battery is obtained based on the first target index corresponding to each abnormal event of each energy storage battery.

[0295] In practice, the damage event quantification model can include multiple sub-models. Each sub-model can be used to quantify the damage caused to the energy storage battery by a certain type of anomalous event. That is, each sub-model can correspond to a type of anomalous event. Specifically, the sub-model can be used to indicate the relationship between the primary target indicator corresponding to the anomalous event and the damage caused to the energy storage battery by that anomalous event.

[0296] In some embodiments, each sub-model can be a model obtained by training through experiments and / or artificial intelligence methods such as deep learning.

[0297] For each energy storage battery, for each abnormal event, based on the sub-model corresponding to the type of the abnormal event and the first target index corresponding to the abnormal event, the damage caused by the abnormal event to the energy storage battery can be quantified to obtain the damage value corresponding to the abnormal event. The damage value corresponding to the abnormal event can be used to indicate the degree of damage to the health of the energy storage battery caused by the abnormal event.

[0298] After obtaining the damage of the abnormal event to the health of the energy storage battery, the total damage of each abnormal event to the health of the energy storage battery can be obtained based on the damage of each abnormal event to the health of the energy storage battery and the weight corresponding to the type of each abnormal event.

[0299] In actual implementation, based on the damage values ​​of all abnormal events of the energy storage battery, the total damage to the health of the energy storage battery from all abnormal events can be obtained.

[0300] In some embodiments, the damage values ​​of all abnormal events affecting the energy storage battery can be summed or aggregated to obtain the total damage to the battery's health from all abnormal events. This can be expressed by the following formula.

[0301] In some embodiments, the weighted sum of the damage values ​​of all abnormal events of the energy storage battery can be obtained as the total damage to the health of the energy storage battery caused by all abnormal events.

[0302] It is understood that the aforementioned weighted sum can be calculated based on the weight of each abnormal event in the energy storage battery. This application does not specify the specific value of the weight for each abnormal event.

[0303] In some embodiments, the weight of anomalies can be determined based on the stage of the energy storage battery's lifecycle in which the anomaly occurs. In some embodiments, anomalies occurring in the early and late stages of the energy storage battery's lifecycle may have a greater weight than those occurring in the middle stages.

[0304] In some embodiments, the weight of an exception event can be determined based on the type of the exception event. The weight of an exception event can be equal to the weight corresponding to the type of the exception event.

[0305] In some embodiments, taking the upper limit of the health score B_r corresponding to each first target indicator as 100 as an example, the first score B_j corresponding to the j-th energy storage battery can be calculated by the following formula (j is a positive integer).

[0306] B_j=100-min(100,∑Si wi).

[0307] Where Si represents the damage value of the i-th abnormal event; wi represents the weight of the i-th abnormal event; and i is a positive integer.

[0308] In some embodiments, the weight of the i-th abnormal event is the weight corresponding to the type of the i-th abnormal event. In some embodiments, the weights for the types of abnormal events such as overcharging, over-discharging, prolonged storage, high temperature abnormality, and low temperature abnormality can be 1.0, 1.2, 0.8, 1.1, and 0.9, respectively, but are not limited thereto.

[0309] Understandably, the formula for the first rating B_j above includes a limiting factor, which is the total damage to the health of the energy storage battery from all abnormal events (referring to ∑Si). If wi) exceeds 100, the total damage mentioned above is counted as 100, indicating that there is a 100% risk of action.

[0310] According to the energy storage system health assessment method provided in the embodiments of this application, the damage of each abnormal event to the health of the energy storage battery is obtained by using the first target index corresponding to each abnormal event. The total damage is obtained based on the damage of each abnormal event to the health of the energy storage battery and the weight corresponding to the type of each abnormal event. The method takes into account the different degrees of damage or impact on the health of the energy storage battery caused by different types of abnormal events in obtaining the total damage, thereby obtaining a more accurate first score and conducting a more accurate health assessment of the energy storage system based on it.

[0311] Based on the total damage to the health of the energy storage battery caused by each abnormal event, the first score corresponding to the energy storage battery is determined.

[0312] In actual implementation, based on the damage event quantification model, the damage caused by each abnormal event to the energy storage battery is quantified according to the first target index corresponding to each abnormal event of each energy storage battery, and the total damage of each abnormal event to the energy storage battery is obtained. After obtaining the total damage of each abnormal event to the energy storage battery, the total damage of each abnormal event to the energy storage battery can be subtracted from the upper limit of the health score B_r corresponding to each first target index, and the result is the first score corresponding to the energy storage battery.

[0313] According to the energy storage system health assessment method provided in the embodiments of this application, by quantifying the damage caused to the energy storage battery by abnormal events for each energy storage battery, a first score corresponding to each energy storage battery is obtained. This can more accurately reflect the damage caused to the health status of the energy storage battery by abnormal events, and obtain a more accurate first score, thereby enabling a more accurate health assessment of the energy storage system.

[0314] In some embodiments, reference Figure 2 A health assessment of an energy storage system in conjunction with abnormal events may include the following steps.

[0315] Step 210, Event Detection.

[0316] It can detect all abnormal events that have occurred in each energy storage battery in the target energy storage system.

[0317] Step 220: Event type identification.

[0318] For each detected abnormal event, the event type is identified to determine whether the abnormal event is of the type such as overcharge, over-discharge, prolonged storage, high temperature abnormality, or low temperature abnormality.

[0319] Step 230: Quantification.

[0320] For each abnormal event of each energy storage battery, the damage of the abnormal event to the health of the energy storage battery is quantified, so that a health score corresponding to each primary target indicator can be obtained based on the quantification.

[0321] Step 240, Weight Adjustment.

[0322] The first weights for each second target indicator, the first weights for each third target indicator, and the first weights for each first target indicator can be determined based on the stage of each energy storage battery in its life cycle and / or its capacity retention rate.

[0323] Step 250: Obtain the evaluation results.

[0324] The health assessment results of the energy storage system can be determined based on the health scores corresponding to each second target indicator, each third target indicator, each first target indicator, and the first weights corresponding to each second target indicator, each third target indicator, and each first target indicator.

[0325] In some embodiments of this application, after determining the health assessment result of the target energy storage system based on the health score and first weight corresponding to the target indicator, the method further includes: outputting the operation and maintenance strategy corresponding to the health assessment result.

[0326] In actual implementation, the results of health assessment can be pre-linked with the operation and maintenance strategy. After obtaining the health assessment results of the target energy storage system, operation and maintenance decisions can be made based on the health assessment results of the target energy storage system, and the operation and maintenance strategy corresponding to the health assessment results of the target energy storage system can be output.

[0327] It should be noted that traditional health assessments of energy storage systems lack a strong correlation between assessment results and operation and maintenance (O&M) decisions and actions. For example, when the health index drops to a threshold, only an alarm is issued without specifying a concrete maintenance strategy (such as determining the intensity of equalization activation or the adjustment range of charge and discharge rates), and the impact of adverse events on O&M priorities cannot be quantified (for example, abnormal events such as high-temperature anomalies require immediate intervention, while voltage differences can be handled with a delay). The embodiments of this application can output O&M strategies corresponding to the health assessment results, enabling more timely output of O&M strategies without waiting for manual decision-making.

[0328] According to the energy storage system health assessment method provided in the embodiments of this application, by binding the health assessment of the energy storage system with operation and maintenance decisions, operation and maintenance decisions are made directly based on the health assessment results of the target energy storage system, and the operation and maintenance strategy corresponding to the health assessment results of the target energy storage system is output. The quantification of damage events and the dynamic adjustment of the weight system optimize the resource allocation of operation and maintenance priorities, reduce the delay caused by manual intervention, improve operation and maintenance efficiency, reduce costs, and further enhance the application value of energy storage system health assessment by combining it with the closed-loop design of refined decision-making.

[0329] In some embodiments of this application, the operation and maintenance strategy corresponding to the output health assessment results includes:

[0330] If the health assessment result is greater than the first threshold, the first operation and maintenance strategy is output; the first operation and maintenance strategy is used to instruct the target energy storage system to operate normally.

[0331] If the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, a second operation and maintenance strategy is output. The second operation and maintenance strategy is used to instruct the target energy storage system to perform active balancing enhancement, power limiting, and adjustment of the target threshold. The target threshold is a threshold set to protect the target energy storage system.

[0332] If the health assessment result is less than the second threshold, a third operation and maintenance strategy is output; the third operation and maintenance strategy is used to indicate at least one of shutdown and fault location for the target energy storage system.

[0333] In practical implementation, a first threshold and a second threshold can be pre-determined for the Health Index (HI), which indicates the health status of the energy storage system, with the first threshold being greater than the second threshold. The first and second thresholds can be determined based on the actual conditions of the energy storage system. This application does not specifically limit the specific values ​​of the first and second thresholds. For example, when the Health Index (HI) ranges from 0 to 100, the first and second thresholds can be 80 and 60, or 90 and 50, etc.

[0334] In some embodiments, when the health index HI is greater than a first threshold, it indicates that the target energy storage system is in a healthy state, and the corresponding operation and maintenance strategy can be the first operation and maintenance strategy. This normal operation and maintenance strategy is the first operation and maintenance strategy.

[0335] In some embodiments, if the health index HI is less than or equal to a first threshold and greater than or equal to a second threshold, it indicates that the health status of the target energy storage system is in a warning state, and the corresponding operation and maintenance strategy can be a second operation and maintenance strategy.

[0336] In some embodiments, the second operation and maintenance strategy may include at least one of active balancing enhancement, power limiting, and adjustment of target thresholds for the target energy storage system.

[0337] In some embodiments, active equilibrium enhancement may include adjusting the equilibrium period and / or optimizing the equilibrium threshold.

[0338] In some embodiments, power limiting may include limiting the charge and discharge power of the target energy storage system based on the Health Index (HI). For example, the charge and discharge power of the target energy storage system may be determined based on the formula: Upper limit of charge / discharge rate = (1.0 - (80 - HI) * 0.05) * P, using the Health Index (HI) and the upper limit of charge / discharge rate.

[0339] In some embodiments, the target threshold is a threshold set to protect the target energy storage system, and may include a temperature control threshold for thermal management and protection thresholds for other protective functions. Adjusting the target threshold can provide more effective protection for the operation of the target energy storage system, thereby extending its service life.

[0340] In some embodiments, if the health index HI is less than the second threshold, it indicates that the health status of the target energy storage system is in a dangerous state, and the corresponding operation and maintenance strategy can be the third operation and maintenance strategy.

[0341] In some embodiments, the third operation and maintenance strategy may include shutting down and locating faults in the target energy storage system. Shutting down the target energy storage system can force it into maintenance mode for shutdown diagnostics. Locating faults in the target energy storage system allows for tracing the source of damage to the system.

[0342] According to the energy storage system health assessment method provided in the embodiments of this application, by outputting corresponding operation and maintenance strategies based on the relationship between the health assessment results of the energy storage system and the first and second thresholds, the delays caused by manual intervention can be reduced, operation and maintenance efficiency can be improved, and costs can be reduced. Furthermore, by combining a closed-loop design of refined decision-making, the application value of energy storage system health assessment can be further improved.

[0343] In some embodiments of this application, the operation and maintenance strategy corresponding to the output health assessment results includes:

[0344] If the health assessment result decreases by more than the third threshold within the target time period, and the health assessment result is greater than the first threshold, the second and fourth operation and maintenance strategies are output; the fourth operation and maintenance strategy is used to indicate the fault location of the target energy storage system.

[0345] If the health assessment result decreases by more than the third threshold within the target time period, and the health assessment result is less than or equal to the first threshold and greater than or equal to the second threshold, the third operation and maintenance strategy will be output.

[0346] In practice, in addition to determining the corresponding operation and maintenance strategy based on the relationship between the health assessment results of the target energy storage system and the first and second thresholds, the corresponding operation and maintenance strategy can also be determined based on the changes in the health assessment results of the target energy storage system over a period of time.

[0347] In some embodiments, if the health assessment result of the target energy storage system decreases by more than a third threshold within a target time period, an upgrade response can be triggered, and the operation and maintenance strategy actually corresponding to the health assessment result can be upgraded by one level based on the original operation and maintenance strategy corresponding to the health assessment result.

[0348] For example, if the health assessment result declines beyond the third threshold within the target timeframe, and the health assessment result is greater than the first threshold, the original corresponding O&M strategy was the first O&M strategy. After triggering the upgrade response, the status is upgraded from healthy to warning, and the O&M strategy corresponding to this health assessment result is determined as the second O&M strategy. Furthermore, a fourth O&M strategy can also be determined for this health assessment result. Executing the fourth O&M strategy can help locate faults in the target energy storage system.

[0349] For example, if the health assessment result drops below the third threshold within the target time period, and the health assessment result is less than or equal to the first threshold and greater than or equal to the second threshold, the original operation and maintenance strategy corresponding to the health assessment result was the second operation and maintenance strategy. After triggering the upgrade response, the state is upgraded from the warning state to the dangerous state, and the operation and maintenance strategy corresponding to the health assessment result is determined to be the third operation and maintenance strategy.

[0350] It should be noted that if the health assessment result of the target energy storage system drops below the third threshold within the target time period, it is considered a scenario of a sharp decline in health status. Therefore, regardless of the current health index HI value, an upgrade response will be triggered immediately, and fault tree analysis can be initiated to locate the cause of the sudden change.

[0351] It should be noted that the target duration and the third threshold can be set according to the actual situation. This application does not specifically limit the specific values ​​of the target duration and the third threshold. For example, the target duration can be 0.5 hours and the third threshold can be 15, or the target duration can be 1 hour and the third threshold can be 25, etc.

[0352] According to the energy storage system health assessment method provided in the embodiments of this application, by triggering an upgrade response for operation and maintenance when the health assessment result decreases beyond a third threshold within a target time period, operation and maintenance efficiency can be improved, costs can be reduced, and the operation of the target energy storage system can be more effectively protected, thereby extending the service life of the target energy storage system.

[0353] In some embodiments of this application, the operation and maintenance strategy corresponding to the health assessment result is output, including: when the health assessment result decreases by more than a fourth threshold in a continuous target number of charge and discharge cycles, a fifth operation and maintenance strategy is output; the fifth operation and maintenance strategy is used to instruct the target energy storage system to locate the fault and adjust the operating parameters.

[0354] In actual implementation, the operation and maintenance strategy corresponding to the health assessment results of the target energy storage system can also be determined based on the decline of the health assessment results of the target energy storage system in a continuous target number of charge and discharge cycles.

[0355] In some embodiments, a fifth maintenance strategy may be output if the health assessment result decreases by more than a fourth threshold over a consecutive target number of charge-discharge cycles.

[0356] It should be noted that if the health assessment result of the target energy storage system drops below the fourth threshold in a continuous number of charge-discharge cycles, it indicates a continuous deterioration in the health status. The fifth operation and maintenance strategy will be output, which can trigger fault location and adjustment of the operating parameters of the target energy storage system.

[0357] For example, if the health index (HI) of the target energy storage system decreases by more than 5 for three consecutive charge-discharge cycles, a fifth operation and maintenance strategy can be output. Executing the fifth operation and maintenance strategy can be used to issue early warning information, initiate fault tree analysis, locate the cause of the sudden change, and adjust the operating parameters accordingly.

[0358] According to the energy storage system health assessment method provided in the embodiments of this application, if the health assessment result decreases beyond the fourth threshold in a continuous target number of charge-discharge cycles, a fifth operation and maintenance strategy is output to locate the fault and adjust the operating parameters. This can improve operation and maintenance efficiency, reduce costs, and provide more effective protection for the operation of the target energy storage system, thereby extending the service life of the target energy storage system.

[0359] To facilitate understanding of the above embodiments of this application, the implementation process of the energy storage system health assessment method will be described below with reference to a specific example.

[0360] The target energy storage system is a 20MW / 40MWh lithium iron phosphate energy storage power station. On the 710th day of operation (one charge-discharge cycle is completed every day), the health index HI=83 and the following events occur: the cell capacity difference rate of system cluster A is abnormal; an overcharge event occurs (peak voltage 3.8V lasts for 30s); the capacity retention rate drops to 70%.

[0361] refer to Figure 3 This allows for the acquisition of second target indicators for each energy storage battery in the energy storage system. In some embodiments, acquiring the second target indicators of the energy storage system may include: obtaining the voltage difference coefficient through voltage difference analysis; obtaining the temperature entropy value through temperature distribution analysis; and obtaining the capacity difference rate through capacity difference analysis.

[0362] Based on the second target indicator of the energy storage system, the health score C_s = 40×1 + 30×1 + 30×0 = 70 can be obtained for each second target indicator.

[0363] refer to Figure 3This allows us to obtain the third target indicators for each energy storage battery in the energy storage system. The energy storage system exhibits performance degradation, with the capacity retention rate decreasing compared to the initial estimate. The capacity retention rate η_Q is 0.7, and the cycle efficiency is 1. Therefore, the health score P_a corresponding to each third target indicator is 50. 0.7+50 1 = 85.

[0364] refer to Figure 3 This allows us to obtain the behavioral characteristics of the energy storage system, specifically the first target index corresponding to each abnormal event of each energy storage battery, and quantify the damage caused by the abnormal event. (Added process damage) Given that the energy storage system already has a total damage of 15, the updated total damage will be 15 + 5.4 = 20.4. Therefore, the health score B_r corresponding to each primary objective indicator is 100 - 20.4 = 79.6.

[0365] Dynamic weight allocation is possible. Based on the number of iterations = 710, α = 0.3, β = 0.3, and γ = 0.4 are determined.

[0366] Therefore, the health index HI = 0.3 × 70 + 0.3 × (100 - 20.4) + 0.4 × 85 = 78.88.

[0367] Based on the health index HI=78.88, an operational decision can be made, resulting in a second operational strategy. Executing this second strategy can include proactive balancing and reinforcement, as well as adjustments to target thresholds.

[0368] Active load balancing enhancement addresses capacity disparities. In some embodiments, active load balancing enhancement may include load balancing maintenance, with cluster A performing full power balancing and the load balancing threshold being increased.

[0369] The target threshold is adjusted for overcharge conditions. In some embodiments, adjusting the target threshold may include lowering the secondary protection threshold.

[0370] The energy storage system health assessment method provided in this application can be executed by an energy storage system health assessment device. This application uses an energy storage system health assessment device executing the energy storage system health assessment method as an example to illustrate the energy storage system health assessment device provided in this application.

[0371] This application also provides a health assessment device for an energy storage system. For example... Figure 4 As shown, the energy storage system health assessment device includes: an acquisition module 410, a first assessment module 420, and a second assessment module 430.

[0372] The acquisition module 410 is used to acquire the target indicators of each energy storage battery in the target energy storage system and determine the first weight corresponding to the target indicators. The target indicators include the first target indicators corresponding to the abnormal events of each energy storage battery. The target indicators also include at least one of the second target indicators and the third target indicators of each energy storage battery. The first target indicator is an indicator that characterizes the abnormal events. The second target indicator is an indicator that characterizes the consistency of the electrochemical parameters of each energy storage battery. The third target indicator is an indicator that characterizes the performance of each energy storage battery.

[0373] The first assessment module 420 is used to determine the health score corresponding to the target indicator based on the target indicator;

[0374] The second assessment module 430 is used to determine the health assessment result of the target energy storage system based on the health score and first weight corresponding to the target indicator.

[0375] According to the energy storage system health assessment device provided in the embodiments of this application, the multi-dimensional data fusion architecture is used to assess the health status of the energy storage system. It integrates multi-dimensional indicators such as the behavioral characteristics and other characteristics of the energy storage system for assessment, which can solve the core problems related to the single dimension and lack of quantitative analysis of injury events in traditional health assessments. It can improve the accuracy and reliability of energy storage system health assessment and enhance the application value of energy storage system health assessment.

[0376] In some embodiments, the acquisition module 410 includes:

[0377] The first determining unit is used to determine the first weight corresponding to the target indicator based on the stage and / or capacity retention rate of each energy storage battery in its life cycle.

[0378] In some embodiments, the first evaluation module 420 may include:

[0379] The first acquisition unit is used to acquire the total damage to the health of the target energy storage system based on the first target index corresponding to each abnormal event of each energy storage battery.

[0380] The second determining unit is used to determine the health score corresponding to the first target indicator based on the total damage.

[0381] In some embodiments, the first acquisition unit may include:

[0382] The first acquisition subunit is used to acquire the damage of the abnormal event to the health of the energy storage battery based on the first target index corresponding to each abnormal event of each energy storage battery.

[0383] The second acquisition subunit is used to acquire the total damage based on the damage of each abnormal event to the health of the energy storage battery and the weight corresponding to the type of each abnormal event; the types of abnormal events include at least one of overcharging, over-discharging, prolonged storage, high temperature abnormality and low temperature abnormality.

[0384] In some embodiments, the acquisition module 410 may be specifically used for at least one of the following:

[0385] For each overcharge-type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the voltage of the energy storage battery in the first target time period during the abnormal event; the first target time period is the period during which the voltage of the energy storage battery is higher than the maximum allowable voltage.

[0386] For each over-discharge type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the voltage of the energy storage battery during the second target time period in the abnormal event and the number of over-discharges within the same discharge cycle; the target time period is the period during which the voltage of the energy storage battery is lower than the minimum allowable voltage.

[0387] For each long-term storage type abnormal event of each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the duration of the energy storage battery in the static state during the abnormal event and the change in the state of charge in the static state; the static state is a state of not charging and not discharging.

[0388] For each abnormal event of high temperature anomaly type for each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the temperature of the energy storage battery in the third target time period during the abnormal event; the third target time period is the period during which the temperature of the energy storage battery is higher than the maximum safe temperature.

[0389] For each abnormal event of low temperature anomaly type for each energy storage battery, obtain the first target indicator corresponding to the abnormal event; the first target indicator corresponding to the abnormal event includes the temperature of the energy storage battery in the fourth target time period during the abnormal event; the fourth target time period is the period during which the temperature of the energy storage battery is lower than the minimum safe temperature.

[0390] In some embodiments, the first acquisition subunit may be specifically used to acquire a first coefficient based on the magnitude by which the voltage during a first target time period exceeds the maximum allowable voltage for each overcharge-type abnormal event of each energy storage battery; and to acquire the damage to the health of the energy storage battery caused by the abnormal event based on the first coefficient and the difference between the voltage during the first target time period and the maximum allowable voltage.

[0391] In some embodiments, the first acquisition subunit may be specifically used to acquire a second coefficient based on the voltage and number of over-discharge type abnormal events for each energy storage battery; and to acquire the damage to the health of the energy storage battery caused by the abnormal event based on the second coefficient and the difference between the minimum allowable voltage and the voltage of the second target time period.

[0392] In some embodiments, the first acquisition subunit may be specifically used to acquire the damage to the health of the energy storage battery by each long-term storage-type abnormal event for each energy storage battery, based on a third coefficient, duration, and change in state of charge; the third coefficient is determined based on the ambient temperature.

[0393] In some embodiments, the first acquisition subunit may be specifically used to acquire the damage to the health of the energy storage battery for each abnormal event of the high temperature abnormality type for each energy storage battery, based on a fourth coefficient and the difference between the temperature of the third target time period and the maximum safe temperature.

[0394] In some embodiments, the first acquisition subunit may be specifically used to acquire the damage to the health of the energy storage battery for each abnormal event of the low temperature abnormality type for each energy storage battery, based on a fifth coefficient and the temperature difference between the minimum safe temperature and the fourth target time period.

[0395] In some embodiments, the third target metric includes at least one of capacity retention and cycle efficiency.

[0396] In some embodiments, the first evaluation module 420 may be specifically used for:

[0397] Based on the first target indicator of each energy storage battery, determine the first score corresponding to each energy storage battery, and determine the health score corresponding to the first target indicator by the minimum value among multiple first scores.

[0398] And / or, based on the third target index of each energy storage battery, determine the second score corresponding to each energy storage battery, and determine the health score corresponding to the third target index by taking the minimum value among multiple second scores.

[0399] According to one embodiment of this application, the first evaluation module 420 may include:

[0400] The second acquisition unit is used to acquire the total damage to the health of each abnormal event based on the first target index corresponding to each abnormal event of each energy storage battery.

[0401] The third determining unit is used to determine the first score corresponding to the energy storage battery based on the total damage to the health of each abnormal event.

[0402] In some embodiments, the energy storage system health assessment device may further include:

[0403] The operations and maintenance decision module is used to output the operations and maintenance strategies corresponding to the health assessment results.

[0404] In some embodiments, the operation and maintenance decision module may be specifically used for:

[0405] If the health assessment result is greater than the first threshold, the first operation and maintenance strategy is output; the first operation and maintenance strategy is used to instruct the target energy storage system to operate normally.

[0406] If the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, a second operation and maintenance strategy is output. The second operation and maintenance strategy is used to instruct the target energy storage system to perform active balancing enhancement, power limiting, and adjustment of the target threshold. The target threshold is a threshold set to protect the target energy storage system.

[0407] If the health assessment result is less than the second threshold, a third operation and maintenance strategy is output; the third operation and maintenance strategy is used to indicate at least one of shutdown and fault location for the target energy storage system.

[0408] In some embodiments, the operation and maintenance decision module may be specifically used for:

[0409] If the health assessment result decreases by more than the third threshold within the target time period, and the health assessment result is greater than the first threshold, the second and fourth operation and maintenance strategies are output; the fourth operation and maintenance strategy is used to indicate the fault location of the target energy storage system.

[0410] If the health assessment result decreases by more than the third threshold within the target time period, and the health assessment result is less than or equal to the first threshold and greater than or equal to the second threshold, the third operation and maintenance strategy will be output.

[0411] In some embodiments, the operation and maintenance decision module may be specifically used for:

[0412] If the health assessment results decrease by more than the fourth threshold during a continuous target number of charge-discharge cycles, a fifth operation and maintenance strategy is output; the fifth operation and maintenance strategy is used to instruct the target energy storage system to locate the fault and adjust the operating parameters.

[0413] The energy storage system health assessment device in this application embodiment can be an electronic device or a component of an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the device.

[0414] The energy storage system health assessment device in this application embodiment can be a device with an operating system. This operating system can be a Microsoft (Windows) operating system, an Android operating system, an iOS operating system, or other possible operating systems; this application embodiment does not specifically limit it.

[0415] The energy storage system health assessment device provided in this application embodiment can achieve… Figures 1 to 3 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0416] In some embodiments, such as Figure 5 As shown, this application embodiment also provides an electronic device 500, including a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the computer program is executed by the processor 501, it implements the various processes of the above-described energy storage system health assessment method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0417] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0418] This application also provides a non-volatile computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described energy storage system health assessment method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0419] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0420] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described energy storage system health assessment method.

[0421] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0422] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described energy storage system health assessment method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0423] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0424] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0425] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the related technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0426] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0427] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0428] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for health assessment of an energy storage system, characterized in that, include: The target indicators of each energy storage battery in the target energy storage system are obtained, and a first weight corresponding to the target indicators is determined. The target indicators include a first target indicator corresponding to an abnormal event of each energy storage battery. The target indicators also include at least one of a second target indicator and a third target indicator of each energy storage battery. The first target indicator is an indicator characterizing the abnormal event. The second target indicator is an indicator characterizing the consistency of the electrochemical parameters of each energy storage battery. The third target indicator is an indicator characterizing the performance of each energy storage battery. The first target indicator corresponding to an abnormal event of an energy storage battery is used to quantify the degree of damage caused to the health of the energy storage battery by the abnormal event. Based on the target indicator, determine the health score corresponding to the target indicator; Based on the health score and first weight corresponding to the target indicator, the health assessment result of the target energy storage system is determined; Determining the first weight corresponding to the target indicator includes: Based on the stage of each energy storage battery in its life cycle and / or capacity retention rate, the first weight corresponding to the target indicator is determined.

2. The energy storage system health assessment method according to claim 1, characterized in that, The step of determining the health score corresponding to the target indicator based on the target indicator includes: Based on the first target index corresponding to each abnormal event of each energy storage battery, the total damage of each abnormal event to the health of the target energy storage system is obtained. Based on the total damage, determine the health score corresponding to the first target indicator.

3. The energy storage system health assessment method according to claim 2, characterized in that, The method of obtaining the total damage to the health of the energy storage system based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: Based on the first target index corresponding to each abnormal event of each energy storage battery, the damage of the abnormal event to the health of the energy storage battery is obtained; The total damage is obtained based on the damage to the health of the energy storage battery caused by each of the abnormal events and the weight corresponding to the type of each of the abnormal events; the types of the abnormal events include at least one of overcharging, over-discharging, prolonged storage, high temperature abnormality and low temperature abnormality.

4. The energy storage system health assessment method according to claim 3, characterized in that, The acquisition of target indicators for each energy storage battery in the target energy storage system includes at least one of the following: For each overcharge-type abnormal event of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a first target time period in the abnormal event and the voltage of the energy storage battery during the first target time period; the first target time period is the time period during which the voltage of the energy storage battery is higher than the maximum allowable voltage; For each over-discharge type abnormal event of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a second target time period in the abnormal event and the voltage of the energy storage battery in the second target time period, as well as the number of over-discharges within the discharge cycle of the abnormal event; the target time period is the time period during which the voltage of the energy storage battery is lower than the minimum allowable voltage. For each of the long-term storage type abnormal events of each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes the duration of the static state of the energy storage battery in the abnormal event and the change in the state of charge in the static state; the static state is a state of not charging and not discharging. For each abnormal event of a high temperature anomaly type for each of the aforementioned energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes a third target time period in the abnormal event and the temperature of the energy storage battery during the third target time period; the third target time period is the period during which the temperature of the energy storage battery is higher than the maximum safe temperature; For each abnormal event of low temperature anomaly type for each of the energy storage batteries, the first target indicator corresponding to the abnormal event is obtained; the first target indicator corresponding to the abnormal event includes the fourth target time period in the abnormal event and the temperature of the energy storage battery in the fourth target time period; the fourth target time period is the period when the temperature of the energy storage battery is lower than the minimum safe temperature.

5. The energy storage system health assessment method according to claim 4, characterized in that, The step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: For each overcharge-type abnormal event of each of the aforementioned energy storage batteries, a first coefficient is obtained based on the magnitude by which the voltage exceeds the maximum allowable voltage during the first target time period; Based on the first coefficient and the difference between the voltage during the first target time period and the maximum allowable voltage, the damage to the health of the energy storage battery caused by the abnormal event is obtained.

6. The energy storage system health assessment method according to claim 4, characterized in that, The step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: For each over-discharge type abnormal event of each of the aforementioned energy storage batteries, a second coefficient is obtained based on the voltage and the number of events during the second target time period; Based on the second coefficient and the difference between the minimum allowable voltage and the voltage during the second target time period, the damage to the health of the energy storage battery caused by the abnormal event is obtained.

7. The energy storage system health assessment method according to claim 4, characterized in that, The step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: For each long-term storage-type abnormal event of each energy storage battery, the damage to the health of the energy storage battery by the abnormal event is obtained based on a third coefficient, the duration of the event, and the change in the state of charge; the third coefficient is determined based on the ambient temperature.

8. The energy storage system health assessment method according to claim 4, characterized in that, The step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: For each abnormal event of a high temperature anomaly type in each of the aforementioned energy storage batteries, the damage to the health of the energy storage battery is obtained based on a fourth coefficient and the difference between the temperature of the third target time period and the maximum safe temperature.

9. The energy storage system health assessment method according to claim 4, characterized in that, The step of obtaining the damage to the health of the energy storage battery by the abnormal event based on the first target index corresponding to each abnormal event of each of the energy storage batteries includes: For each abnormal event of a low-temperature anomaly type in each of the aforementioned energy storage batteries, the damage to the health of the energy storage battery is obtained based on the fifth coefficient and the temperature difference between the minimum safe temperature and the fourth target time period.

10. The energy storage system health assessment method according to claim 1, characterized in that, The third target indicator includes at least one of capacity retention rate and cycle efficiency.

11. The energy storage system health assessment method according to claim 1, characterized in that, The step of determining the health score corresponding to the target indicator based on the target indicator includes: Based on the first target index of each energy storage battery, a first score corresponding to each energy storage battery is determined, and the minimum value among multiple first scores is used to determine the health score corresponding to the first target index. And / or, based on the third target index of each of the energy storage batteries, determine the second score corresponding to each of the energy storage batteries, and determine the health score corresponding to the third target index by taking the minimum value among the multiple second scores.

12. The energy storage system health assessment method according to claim 11, characterized in that, The step of determining the first score corresponding to each energy storage battery based on the first target index of each energy storage battery includes: Based on the first target index corresponding to each abnormal event of each energy storage battery, the total damage to the health of each abnormal event of the energy storage battery is obtained; Based on the total damage to the health of the energy storage battery caused by each of the aforementioned abnormal events, the first score corresponding to the energy storage battery is determined.

13. The method for health assessment of an energy storage system according to any one of claims 1 to 12, characterized in that, After determining the health assessment result of the target energy storage system based on the health score and first weight corresponding to the target indicator, the method further includes: Output the operation and maintenance strategy corresponding to the health assessment results.

14. The energy storage system health assessment method according to claim 13, characterized in that, The operational strategies corresponding to the output health assessment results include: If the result of the health assessment is greater than a first threshold, a first operation and maintenance strategy is output; the first operation and maintenance strategy is used to instruct the target energy storage system to operate normally. If the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, a second operation and maintenance strategy is output; the second operation and maintenance strategy is used to instruct the target energy storage system to perform active balancing enhancement, power limiting, and adjustment of the target threshold; the target threshold is a threshold set to protect the target energy storage system; If the result of the health assessment is less than the second threshold, a third operation and maintenance strategy is output; the third operation and maintenance strategy is used to indicate at least one of shutdown and fault location for the target energy storage system.

15. The energy storage system health assessment method according to claim 14, characterized in that, The operational strategies corresponding to the output health assessment results include: If the result of the health assessment decreases by more than a third threshold within a target time period, and the result of the health assessment is greater than the first threshold, the second operation and maintenance strategy and the fourth operation and maintenance strategy are output; the fourth operation and maintenance strategy is used to indicate fault location for the target energy storage system. If the result of the health assessment decreases by more than the third threshold within the target duration, and the result of the health assessment is less than or equal to the first threshold and greater than or equal to the second threshold, the third operation and maintenance strategy is output.

16. The energy storage system health assessment method according to claim 14, characterized in that, The operational strategies corresponding to the output health assessment results include: If the health assessment result decreases by more than the fourth threshold in a continuous target number of charge-discharge cycles, a fifth operation and maintenance strategy is output; the fifth operation and maintenance strategy is used to instruct the target energy storage system to locate the fault and adjust the operating parameters.

17. A health assessment device for an energy storage system, characterized in that, include: The acquisition module is used to acquire the target indicators of each energy storage battery in the target energy storage system and determine the first weight corresponding to the target indicators. The target indicators include a first target indicator corresponding to an abnormal event of each of the energy storage batteries; the target indicators also include at least one of a second target indicator and a third target indicator of each of the energy storage batteries; the first target indicator is an indicator characterizing the abnormal event; the second target indicator is an indicator characterizing the consistency of the electrochemical parameters of each of the energy storage batteries; the third target indicator is an indicator characterizing the performance of each of the energy storage batteries; the first target indicator corresponding to one abnormal event of an energy storage battery is used to quantify the degree of damage caused to the health of the energy storage battery by the abnormal event; The first assessment module is used to determine the health score corresponding to the target indicator based on the target indicator; The second assessment module is used to determine the health assessment result of the target energy storage system based on the health score and the first weight corresponding to the target indicator. The acquisition module includes: a first determining unit, used to determine the first weight corresponding to the target indicator based on the stage and / or capacity retention rate of each energy storage battery in its life cycle.

18. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the energy storage system health assessment method as described in any one of claims 1-16.

19. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the energy storage system health assessment method as described in any one of claims 1-16.

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