Processing methods, apparatuses, systems, and components for monitoring energy storage systems

Abstract

Embodiments of the present application relate to a processing method, device, system and component for monitoring an energy storage system, the method comprising: obtaining a first measured current I j,t , a first measured voltage U j,t , and a first measured temperature W j,t of each energy storage cell in the energy storage system; and obtaining a cell state of charge (SOC) of each energy storage cell at a previous time as a first SOC j,t‑1 ; estimating a cell state of charge of the energy storage cell according to the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t‑1 to generate a first SOC j,t ; and storing a corresponding first cell monitoring record composed of the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t in a corresponding first cell monitoring record list. Through the present application, the monitoring granularity of the energy storage system can be refined, and the management accuracy of the energy storage system can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal processing, in particular to a processing method, device, system and component for monitoring an energy storage system. BACKGROUND

[0002] The "light storage charging" integrated power station system refers to a small power generation and power distribution system composed of an energy management system, a photovoltaic power generation system, an energy storage system, charging facilities and the like, also known as a micro-grid. The energy storage system is composed of multiple energy storage batteries. The energy storage system can store power through the energy storage batteries, and can supply power to the charging facilities through the energy storage batteries when the photovoltaic power generation system has weak power generation capacity (such as at night, or during rainy, cloudy and other bad weather periods). In order to ensure that the energy storage system can work normally, the energy management system needs to monitor the real-time state of the energy storage system. However, the current common energy management system only focuses on the change of the overall charging and discharging rate of the system when monitoring the energy storage system, and does not track the real-time state (such as current, voltage, temperature, battery state of charge, etc.) of each energy storage battery in the system. The monitoring granularity of this conventional monitoring method is too coarse, and the energy storage system cannot be managed in detail. SUMMARY

[0003] The purpose of the present application is to provide a processing method, device, system and component for monitoring an energy storage system, which can track the current, voltage and temperature of each energy storage battery in the energy storage system in real time, estimate the state of charge (SOC) based on the obtained real-time current, voltage and temperature, track and record the real-time current, voltage, temperature and state of charge of each energy storage battery through a battery monitoring record list, and periodically analyze the capacity of the energy storage system and check the safety of the energy storage batteries based on the battery monitoring record list. Through the present application, the overall capacity of the energy storage system can be tracked and refreshed, the real-time state (such as current, voltage, temperature, battery state of charge, etc.) of each energy storage battery in the system can be tracked, analyzed and checked for safety, so as to achieve the purpose of refining the monitoring granularity of the energy storage system and improving the management accuracy of the energy storage system.

[0004] To achieve the above purpose, the first aspect of the embodiment of the present application provides a processing method for monitoring an energy storage system, which comprises:

[0005] at time t, obtaining the real-time current, voltage and temperature of each energy storage battery in the energy storage system as the corresponding first measured current I j,t , first measured voltage U j,t and first measured temperature W j,t ; and obtaining the battery state of charge of each energy storage battery at the previous time t-1 as the corresponding first SOCj,t-1 ; the energy storage battery index j ≥ 1;

[0006] According to the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t-1 , the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t is estimated to generate a corresponding first SOC j,t .

[0007] According to the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t , the corresponding first battery monitoring record is stored in the corresponding first battery monitoring record list.

[0008] Preferably, according to the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t-1 , the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t is estimated to generate a corresponding first SOC j,t , specifically comprising:

[0009] According to the first SOC j,t-1 and the first measured current I j,t-1 at the previous time t-1, the battery state of charge at the current time t is estimated to generate a corresponding first estimated SOC j * ,t ;

[0010] According to the first estimated SOC j * ,t , the first measured temperature W j,t , the first measured current I j,t , and the preset battery equivalent circuit model, the battery voltage at the current time t is estimated to generate a corresponding first estimated voltage U j * ,t ;

[0011] According to the first estimated voltage U j * ,t , and the first measured voltage U j,tThe voltage error estimation is performed to generate a corresponding first voltage error ΔU j,t ;

[0012] According to the first voltage error ΔU j,t The first estimated SOC j * ,t The battery state of charge correction processing is performed to generate a corresponding first SOC j,t .

[0013] Further, the first SOC j,t-1 and the first measured current I j,t-1 at the previous time t-1 is estimated to generate a corresponding first estimated SOC j * ,t , specifically comprising:

[0014] The first SOC j,t-1 and the first measured current I j,t-1 are substituted into the calculation equation of the ampere-hour integration method to generate a corresponding first estimated SOC j * ,t ;

[0015] The calculation equation of the ampere-hour integration method is:

[0016]

[0017] η j is the charge / discharge efficiency of the corresponding energy storage battery, C j,max is the maximum available battery capacity of the corresponding energy storage battery.

[0018] Further, the battery equivalent circuit model is a first-order RC model; the first-order RC model includes an open circuit voltage OCV, an ohmic internal resistance R 1 , a polarization internal resistance R 2 and a polarization capacitance C; one end of the open circuit voltage OCV is connected with the ohmic internal resistance R 1 ; the other end of the ohmic internal resistance R 1 is connected with one end of the parallel polarization internal resistance R 2 and the polarization capacitance C; the other end of the parallel polarization internal resistance R 2 and the polarization capacitance C is recorded as a first end; the voltage across the parallel polarization internal resistance R 2 and the polarization capacitance C is recorded as a first voltage U 1 ; the voltage between the first end and the negative electrode of the open circuit voltage OCV is recorded as a second voltage U * .

[0019] Further, the equivalent equation set of the battery equivalent circuit model is:

[0020]

[0021] △t is the time interval from time t-1 to t,

[0022] τ j,t is the time constant of the corresponding energy storage battery at time t,

[0023] R 1 j,t is the Ohmic internal resistance R 1 of the corresponding energy storage battery at time t,

[0024] R 2 j,t-1 is the polarization internal resistance R 2 of the corresponding energy storage battery at time t-1,

[0025] U 1 j,t-1 , U 1 j,t is the first voltage U 1 of the corresponding energy storage battery at time t-1 and t,

[0026] OCV j,t is the open circuit voltage OCV of the corresponding energy storage battery at time t,

[0027] is the second voltage U * of the corresponding energy storage battery at time t,

[0028] I j,t-1 , I j,t is the first measured current I of the corresponding energy storage battery at time t-1 and t.

[0029] Further, the first estimated the first measured temperature W j,t , the first measured current I j,t and the preset battery equivalent circuit model are used to generate the corresponding first estimated voltage Specifically, it includes:

[0030] query the preset battery parameter list, match the first battery index field with the energy storage battery index j, and the first state of charge field satisfies the first estimated and the first temperature field satisfies the first measured temperature W j,tThe first battery parameter record is recorded as a corresponding matching record; and the first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field and the first polarization capacitance field of the matching record are extracted as corresponding first OCV j,t , first ohmic internal resistance first polarization internal resistance and first polarization capacitance C j,t ; the battery parameter list includes a plurality of first battery parameter records; the first battery parameter record includes the first battery index field, the first state of charge field, the first temperature field, the first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field and the first polarization capacitance field; the first state of charge field includes a state of charge range; the first temperature field includes a temperature range;

[0031] According to the first polarization internal resistance and the first polarization capacitance C j,t , a corresponding first time constant τ ,t is calculated and generated

[0032] The first voltage , the first measured current I j,t-1 , the first polarization internal resistance and the first time constant τ j,t , the first OCV j,t , the first ohmic internal resistance , the first measured current I j,t at the previous moment t-1 are substituted into the equivalent equation set of the battery equivalent circuit model to obtain a corresponding second voltage The second voltage is output as a corresponding first estimated voltage .

[0033] Further, according to the first estimated voltage and the first measured voltage U j,t , a corresponding first voltage error △U j,t is generated by voltage error estimation, specifically including:

[0034] The voltage difference between the first estimated voltage and the first measured voltage U j,t is taken as a corresponding first voltage error △U j,t ,

[0035] Further, according to the first voltage error △U j,t , the first estimated performing a battery state of charge correction process to generate a corresponding first SOC j,t , specifically comprising:

[0036] Taking the state of charge SOC of the energy storage battery as a state variable X, and taking the measured voltage U j,t of the energy storage battery as an observation variable Y, the state-observation equation set of the extended Kalman filter is constructed by referring to the equivalent equation set of the battery equivalent circuit model and the estimation equation of the ampere-hour integral method as:

[0037]

[0038] f() is a state variable prediction function, g() is a state-observation conversion function, w t , v t are noise matrices;

[0039] Solving the Kalman gain of the state-observation equation set of the extended Kalman filter at time t to obtain a corresponding first gain K t ;

[0040] Taking the first estimated SOC j * ,t as a one-step predicted state variable X t-1|t of the extended Kalman filter, taking the first voltage error △U j,t as an observation error variable △Y t of the extended Kalman filter, and substituting the one-step predicted state variable X t-1|t , the first gain K t and the observation error variable △Y t into the state variable correction formula of the extended Kalman filter to generate a corresponding first SOC j,t ,

[0041] The state variable correction formula of the extended Kalman filter is: X t = X t-1|t + K t ΔY t ,

[0042] The first SOC j,t is:

[0043] Further, the first battery monitoring record list includes a plurality of first battery monitoring records; the first battery monitoring record includes a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field and a first monitoring battery state of charge field.

[0044] Preferably, the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t are stored in a corresponding first battery monitoring record list, specifically including:

[0045] The energy storage battery index j is taken as the corresponding first monitoring battery index field, the current time t is taken as the corresponding first monitoring time field, the first measured current I j,t is taken as the corresponding first monitoring battery current field, the first measured voltage U j,t is taken as the corresponding first monitoring battery voltage field, the first measured temperature W j,t is taken as the corresponding first monitoring battery temperature field, and the first SOC j,t is taken as the corresponding first monitoring battery state of charge field; and the first monitoring battery index field, the first monitoring time field, the first monitoring battery current field, the first monitoring battery voltage field, the first monitoring battery temperature field, and the first monitoring battery state of charge field are taken to form the corresponding first battery monitoring record; and the obtained first battery monitoring record is added to the first battery monitoring record list corresponding to the energy storage battery index j.

[0046] The second aspect of the embodiment of the present application provides a processing method for monitoring an energy storage system, which comprises:

[0047] Periodically performing energy storage system capacity analysis according to all first battery monitoring record lists;

[0048] Periodically performing energy storage battery safety investigation according to each first battery monitoring record list.

[0049] Preferably, each energy storage battery in the energy storage system corresponds to a first battery monitoring record list; the first battery monitoring record list comprises a plurality of first battery monitoring records; and the first battery monitoring record comprises a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field, and a first monitoring battery state of charge field.

[0050] Preferably, the periodically performing energy storage system capacity analysis according to all first battery monitoring record lists specifically comprises:

[0051] Every preset first time interval, a full list traversal is performed on all the first battery monitoring record lists; during the traversal, the first battery monitoring record list being currently traversed is taken as a corresponding current battery monitoring record list; the battery index of the energy storage battery corresponding to the current battery monitoring record list is taken as a corresponding first index; the first monitoring battery state field of the first battery monitoring record corresponding to the first monitoring time field closest to the current time in the current battery monitoring record list is extracted as a corresponding first battery state; the first battery maximum available battery capacity field of the first battery product information record matching the first index in the first battery index field in a preset first battery product information list is extracted as a corresponding first battery capacity; and the product of the first battery state and the first battery maximum capacity is taken as a corresponding first battery capacity;

[0052] At the end of the traversal, the sum of all the first battery capacities obtained is calculated to generate a corresponding first energy storage system capacity and display the same.

[0053] Preferably, the periodic energy storage battery safety check according to each first battery monitoring record list specifically includes:

[0054] Every second preset second time interval, all the first battery monitoring record lists are traversed once; when traversing, the first battery monitoring record list being currently traversed is taken as a corresponding current battery monitoring record list; the battery index of the energy storage battery corresponding to the current battery monitoring record list is taken as a corresponding second index; a specified number of first battery monitoring records in the current battery monitoring record list closest to the current time are extracted to form a corresponding first troubleshooting record set; the first monitoring battery voltage field in the first troubleshooting record set is subjected to mean value calculation to generate a corresponding first average voltage, the first monitoring battery current field in the first troubleshooting record set is subjected to mean value calculation to generate a corresponding first average current, and the first monitoring battery temperature field in the first troubleshooting record set is subjected to mean value calculation to generate a corresponding first average temperature; when the first average voltage exceeds a preset safe voltage range, a corresponding first voltage abnormal flag is set to a preset active flag; when the first average current exceeds a preset safe current range, a corresponding first current abnormal flag is set to the active flag; when the first average temperature exceeds a preset safe temperature range, a corresponding first temperature abnormal flag is set to the active flag; when the first voltage abnormal flag, the first current abnormal flag or the first temperature abnormal flag is the active flag, the second index is substituted into a preset voltage abnormality, current abnormality or temperature abnormality warning template to perform abnormal warning information synthesis processing to obtain corresponding first voltage abnormality warning information, first current abnormality warning information or first temperature abnormality warning information; and all the obtained abnormal warning information is taken to form a corresponding first battery abnormality report and displayed.

[0055] The third aspect of the embodiment of the present application provides a device for implementing the processing method for monitoring the energy storage system according to the first aspect of the embodiment of the present application, and the device comprises a first acquisition module, a first estimation module and a first recording module.

[0056] The first acquisition module is configured to acquire the real-time current, voltage and temperature of each energy storage battery in the energy storage system at time t as corresponding first measured current I j,t , first measured voltage U j,t and first measured temperature W j,t , and acquire the battery state of charge of each energy storage battery at the previous time t-1 as corresponding first SOC j,t-1 ; the energy storage battery index j≥1.

[0057] The first estimation module is configured to estimate the first estimated current I j,t , the first estimated voltage U j,t and the first estimated temperature W j,t of each energy storage battery according to the first measured current I j,t , the first measured voltage U j,t and the first measured temperature W j,t .and the first SOC j,t-1 estimating the battery state of charge of the energy storage battery corresponding to the index j of the energy storage battery at the current time t to generate a corresponding first SOC j,t ;

[0058] The first recording module is configured to store, by the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t into a corresponding first battery monitoring record list to form a corresponding first battery monitoring record.

[0059] The fourth aspect of the embodiment of the present application provides a device for implementing the processing method for monitoring the energy storage system according to the second aspect of the embodiment of the present application, and the device comprises a first monitoring module and a second monitoring module.

[0060] The first monitoring module is configured to periodically analyze the capacity of the energy storage system according to all the first battery monitoring record lists.

[0061] The second monitoring module is configured to periodically check the safety of the energy storage battery according to each of the first battery monitoring record lists.

[0062] The fifth aspect of the embodiment of the present application provides a processing system for monitoring the energy storage system, and the system comprises the device provided in the third aspect of the embodiment of the present application and the device provided in the fourth aspect of the embodiment of the present application.

[0063] The sixth aspect of the embodiment of the present application provides a processing component for monitoring the energy storage system, and the component comprises at least one processor and a memory connected with the at least one processor in communication, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the processing method for monitoring the energy storage system according to the first aspect of the embodiment of the present application or the processing method for monitoring the energy storage system according to the second aspect of the embodiment of the present application.

[0064] The processing method, device, system and component for monitoring the energy storage system provided by the embodiment of the present application can track the current, voltage and temperature of each energy storage battery in the energy storage system in real time, estimate the state of charge according to the obtained real-time current, voltage and temperature, track and record the real-time current, voltage, temperature and state of charge of each energy storage battery through the battery monitoring record list, and analyze the capacity of the energy storage system and check the safety of the energy storage battery based on the battery monitoring record list regularly. Through the present application, the overall capacity of the energy storage system can be tracked and refreshed, the real-time state (such as current, voltage, temperature, battery state of charge, etc.) of each energy storage battery in the system can be tracked, analyzed and checked for safety, and the monitoring granularity of the energy storage system is refined and the management accuracy of the energy storage system is improved. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 The processing method for monitoring the energy storage system provided by the embodiment one of the present application is shown in the figure;

[0066] Figure 2 The first-order RC model provided by the embodiment one of the present application is shown in the figure;

[0067] Figure 3 The processing method for monitoring the energy storage system provided by the embodiment two of the present application is shown in the figure;

[0068] Figure 4 The module structure diagram of the processing device for monitoring the energy storage system provided by the embodiment three of the present application is shown in the figure;

[0069] Figure 5 The module structure diagram of the processing device for monitoring the energy storage system provided by the embodiment four of the present application is shown in the figure;

[0070] Figure 6 The module structure diagram of the processing system for monitoring the energy storage system provided by the embodiment five of the present application is shown in the figure;

[0071] Figure 7 The module structure diagram of the processing component for monitoring the energy storage system provided by the embodiment six of the present application is shown in the figure. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be described in further detail below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0073] The embodiment one of the present application provides a processing method for monitoring an energy storage system, like Figure 1 The processing method for monitoring an energy storage system provided by the embodiment one of the present application is shown in a schematic diagram, and mainly comprises the following steps:

[0074] Step 1, at time t, the real-time current, voltage and temperature of each energy storage battery in the energy storage system are obtained as the corresponding first measured current I j,t , first measured voltage U j,t and first measured temperature W j,t , and the battery state of charge of each energy storage battery at the previous time t-1 is obtained as the corresponding first SOC j,t-1 ;

[0075] Wherein, the energy storage battery index j≥1.

[0076] Here, the energy management system of the optical energy storage and charging station periodically obtains the real-time current, voltage and temperature of each energy storage battery from the energy storage system at a preset data sampling frequency, i.e. the first measured current I j,t , first measured voltage U j,t and first measured temperature W j,t at any time t, and saves them, and reads out the battery state of charge at the previous time t-1 as the corresponding first SOC j,t-1 .

[0077] Step 2, according to the first measured current I j,t , first measured voltage U j,t , first measured temperature W j,t and first SOC j,t-1 , the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t is estimated to generate the corresponding first SOC j,t ;

[0078] Here, the energy management system of the embodiment one of the present application estimates the real-time state of charge of each energy storage battery based on the real-time current, voltage and temperature of each energy storage battery;

[0079] Specifically, step 21, according to the first SOC j,t-1 and the first measured current I j,t-1 at the previous time t-1, the battery state of charge at the current time t is estimated to generate the corresponding first estimation

[0080] Specifically, the first SOC j,t-1 and the first measured current I j,t-1 are substituted into the estimation equation of the ampere-hour integral method to calculate the corresponding first estimation

[0081] The estimation equation of ampere-hour integration method is:

[0082]

[0083] η j is the charge / discharge efficiency of the corresponding energy storage battery, C j,max is the maximum available battery capacity of the corresponding energy storage battery;

[0084] Here, the ampere-hour integration method is the most commonly used SOC estimation method, but if the current measurement is not accurate, the SOC calculation error will accumulate and the estimation result error will increase; therefore, after the state of charge estimation is completed by the current step in the first embodiment of the present application, the estimation result, i.e. the first estimation , is corrected through subsequent steps 22-24.

[0085] Step 22, according to the first estimation , the first measured temperature W j,t , the first measured current I j,t , and the preset battery equivalent circuit model, the battery voltage at the current time t is model voltage estimated to generate the corresponding first estimation voltage

[0086] Among them, the battery equivalent circuit model of the first embodiment of the present application is a first-order RC model, such as Figure 2 as shown in the first-order RC model schematic diagram provided by the first embodiment of the present application; the first-order RC model includes open circuit voltage OCV, ohmic internal resistance R 1 , polarization internal resistance R 2 and polarization capacitance C; the positive electrode of the open circuit voltage OCV is connected with one end of the ohmic internal resistance R 1 ; the other end of the ohmic internal resistance R 1 is connected with one end of the parallel polarization internal resistance R 2 and the polarization capacitance C; the other end of the parallel polarization internal resistance R 2 and the polarization capacitance C is recorded as the first end; the voltage between the two ends of the parallel polarization internal resistance R 2 and the polarization capacitance C is recorded as the first voltage U 1 ; the voltage between the first end and the negative electrode of the open circuit voltage OCV is recorded as the second voltage U * ;

[0087] Based on the above first-order RC model, the equivalent equation set of the battery equivalent circuit model can be obtained as:

[0088]

[0089] Among them,

[0090] △t is the time interval from time t-1 to t,

[0091] τ j,t is the time constant of the corresponding energy storage battery at time t,

[0092] R is the ohmic internal resistance of the corresponding energy storage battery at time t 1 ,

[0093] R is the polarization internal resistance of the corresponding energy storage battery at time t-1 2 ,

[0094] U is the first voltage of the corresponding energy storage battery at time t-1, t 1 ,

[0095] OCV j,t is the open circuit voltage OCV of the corresponding energy storage battery at time t,

[0096] U is the second voltage of the corresponding energy storage battery at time t * ,

[0097] I j,t-1 , I j,t is the first measured current of the corresponding energy storage battery at time t-1, t;

[0098] Based on the above first-order RC model and equivalent equation set, the current step 22 specifically includes:

[0099] Step 221, query the preset battery parameter list, match the first battery index field with the energy storage battery index j and the first state of charge field satisfies the first estimated and the first temperature field satisfies the first measured temperature W j,t , the first battery parameter record is recorded as the corresponding matching record; and the first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field and the first polarization capacitance field of the matching record are extracted as the corresponding first OCV j,t , the first ohmic internal resistance the first polarization internal resistance and the first polarization capacitance C j,t ;

[0100] Wherein, the battery parameter list includes a plurality of first battery parameter records; the first battery parameter record includes a first battery index field, a first state of charge field, a first temperature field, a first OCV field, a first ohmic internal resistance field, a first polarization internal resistance field and a first polarization capacitance field; the first state of charge field includes a state of charge range; the first temperature field includes a temperature range;

[0101] Here, the battery parameter list in Embodiment 1 of the present invention is a first-order RC model equivalent circuit parameter (open-circuit voltage OCV, ohmic internal resistance R) that reflects the energy storage battery. 1 Polarization internal resistance R 2 A data list showing the correspondence between polarization capacitance C and real-time data (state of charge, temperature W) of the energy storage battery; each first battery parameter record contains a set of real-time data (state of charge, temperature W) and a set of equivalent circuit parameters (open-circuit voltage OCV, internal resistance R) corresponding to one energy storage battery. 1 Polarization internal resistance R 2 The first battery index field in the first battery parameter record is the battery index of the corresponding energy storage battery. One energy storage battery can correspond to one or more first battery parameter records. The first state of charge field and the first temperature field of the first battery parameter record correspond to a set (state of charge SOC, temperature W); the first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field, and the first polarization capacitance field of the first battery parameter record correspond to a set (open circuit voltage OCV, ohmic internal resistance R). 1 Polarization internal resistance R 2 (Polarization capacitor C); Embodiment 1 of the present invention is based on a set of query data (energy storage battery index j + first estimate) +First measured temperature W j,t Querying the battery parameter list will retrieve the energy storage battery corresponding to the current energy storage battery index j in the current (first estimate) +First measured temperature W j,t In the case of ), a set of equivalent circuit parameters of its first-order RC model (open-circuit voltage OCV, ohmic internal resistance R) 1 Polarization internal resistance R 2 The polarization capacitor C) is the first OCV. j,t First ohmic internal resistance First polarization internal resistance and the first polarization capacitor C j,t ;

[0102] Step 222, based on the first polarization internal resistance and the first polarization capacitor C j,t Calculate and generate the corresponding first time constant τ j,t ,

[0103]

[0104] Step 223, the first voltage at the previous time t-1 First measured current I j,t -1. First polarization internal resistance and the first time constant τ at the current time t j,t First OCV j,t, the first ohmic internal resistance The first measured current I j,t The corresponding second voltage is calculated by substituting the equivalent equation set of the battery equivalent circuit model ; and the second voltage is taken as the corresponding first estimated voltage output;

[0105] Step 23, according to the first estimated voltage and the first measured voltage U j,t , a voltage error estimation is generated to generate the corresponding first voltage error △U j,t ;

[0106] Specifically, the voltage difference between the first estimated voltage and the first measured voltage U j,t is taken as the corresponding first voltage error △U j,t ,

[0107] Step 24, according to the first voltage error △U j,t , the first estimated battery state of charge correction processing is generated to generate the corresponding first SOC j,t ;

[0108] Specifically, step 241, taking the battery state of charge SOC of the energy storage battery as the state variable X, and the measured voltage U j,t of the energy storage battery as the observation variable Y, referring to the equivalent equation set of the battery equivalent circuit model and the estimation equation of the ampere-hour integration method, the state-observation equation set of the extended Kalman filter is constructed as:

[0109]

[0110] f() is the state variable prediction function, g() is the state-observation conversion function, w t , v t are noise matrices;

[0111] Here, the battery state of charge SOC of the energy storage battery is taken as the state variable X, and the measured voltage U j,t of the energy storage battery is taken as the observation variable Y, and the state-observation equation set of the extended Kalman filter is constructed by referring to the equivalent equation set of the battery equivalent circuit model and the estimation equation of the ampere-hour integration method. The processing mode of the state-observation equation set of the extended Kalman filter (EKF) is a conventional processing mode, and the refinement of the state variable prediction function and the state-observation conversion function can refer to related technical documents, and will not be repeated here. Deduction explanation;

[0112] Step 242: Solve the state-observation equations of the extended Kalman filter at time t to obtain the corresponding first gain K. t ; and the first estimate X, as the one-step predicted state quantity of the extended Kalman filter t-1|t The first voltage error ΔU j,t The observation error ΔY of the extended Kalman filter t And predict the state variable X in one step. t-1|t First gain K t and observation error ΔY t Substituting the state variables of the extended Kalman filter into the modified form, the corresponding first SOC is calculated. j,t ;

[0113] The state parameter correction for the extended Kalman filter is: X t =X t-1|t +K t ΔY t ,

[0114] First SOC j,t for:

[0115] Here, after the extended Kalman filter state-observation equations are constructed, the Kalman gain at each step, i.e., the first gain K, can be solved using the publicly available solution method for the extended Kalman filter. t Furthermore, the system state correction relation of the extended Kalman filter state-observation equations is as follows:

[0116]

[0117] It can be seen that after obtaining the first gain K t Next, the state variable X will be predicted in one step. t-1|t That is, the first estimate First gain K t and observation error ΔY t That is, the first voltage error ΔU j,t Substitute state quantity to modify formal X t =X t-1|t +K t ΔY t The corrected state variable X can then be obtained. t That is, the first SOC j,t .

[0118] Step 3, from the first measured current I j,t First measured voltage U j,t First measured temperature W j,t And the first SOC j,tThe corresponding first battery monitoring record is stored in the corresponding first battery monitoring record list;

[0119] The first battery monitoring record list comprises a plurality of first battery monitoring records, and the first battery monitoring record comprises a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field and a first monitoring battery state of charge field.

[0120] Specifically, the energy storage battery index j is taken as the corresponding first monitoring battery index field, the current time t is taken as the corresponding first monitoring time field, the first measured current I j,t is taken as the corresponding first monitoring battery current field, the first measured voltage U j,t is taken as the corresponding first monitoring battery voltage field, the first measured temperature W j,t is taken as the corresponding first monitoring battery temperature field, and the first SOC j,t is taken as the corresponding first monitoring battery state of charge field; the first monitoring battery index field, the first monitoring time field, the first monitoring battery current field, the first monitoring battery voltage field, the first monitoring battery temperature field and the first monitoring battery state of charge field are combined to form the corresponding first battery monitoring record; and the obtained first battery monitoring record is added to the first battery monitoring record list corresponding to the energy storage battery index j.

[0121] In addition to tracking the real-time state (such as current, voltage, temperature, battery state of charge, etc.) of each energy storage battery by the method provided in the embodiment one of the application, the energy management system of the embodiment one of the application also tracks and refreshes the overall capacity of the energy storage system and performs safety inspection on each energy storage battery by the processing method for monitoring the energy storage system provided in the embodiment two of the application. Figure 3 The processing method for monitoring the energy storage system provided in the embodiment two of the application is shown in the schematic diagram as Figure 3 The method mainly comprises the following steps:

[0122] Step 101: periodically analyze the energy storage system capacity according to all first battery monitoring record lists;

[0123] Specifically comprising: performing a full list traversal on all first battery monitoring record lists every preset first time interval; during the traversal, taking the first battery monitoring record list being currently traversed as a corresponding current battery monitoring record list; taking the battery index of the energy storage battery corresponding to the current battery monitoring record list as a corresponding first index; taking the first battery monitoring record corresponding to the first monitoring time field closest to the current time in the current battery monitoring record list as a corresponding first battery monitoring record; taking the first battery state of charge field of the first battery monitoring record as a corresponding first battery state of charge; querying the preset first battery product information list to take the first battery maximum available battery capacity field of the first battery product information record matched with the first index as a corresponding first battery capacity; taking the product of the first battery state of charge and the first battery maximum capacity as a corresponding first battery capacity; and performing a summation calculation on all the first battery capacities obtained to generate a corresponding first energy storage system capacity and display the first energy storage system capacity.

[0124] Here, the energy storage system of the second embodiment of the present application is consistent with the energy storage system of the first embodiment of the present application, and is also composed of a plurality of energy storage batteries; each energy storage battery corresponds to a first battery monitoring record list; the first battery monitoring record list includes a plurality of first battery monitoring records; the first battery monitoring record includes a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field and a first monitoring battery state of charge field. In addition, the energy management system of the second embodiment of the present application is consistent with the energy management system of the first embodiment of the present application; the energy management system of the second embodiment of the present application periodically performs statistics on the battery capacities of all energy storage batteries in the energy storage system and performs a summation calculation on the statistical results, thereby obtaining the latest system available capacity, i.e., the first energy storage system capacity.

[0125] Step 102, periodically performing safety check on the energy storage batteries according to each first battery monitoring record list;

[0126] Specifically, this includes: performing a full list traversal of all first battery monitoring record lists at every preset second time interval; during the traversal, using the currently traversed first battery monitoring record list as the corresponding current battery monitoring record list; using the battery index of the energy storage battery corresponding to the current battery monitoring record list as the corresponding second index; extracting a specified number of first battery monitoring records from the current battery monitoring record list that are closest to the current time to form a corresponding first investigation record set; and calculating the average value of all first monitoring battery voltage fields in the first investigation record set to generate a corresponding first average voltage, calculating the average value of all first monitoring battery current fields in the first investigation record set to generate a corresponding first average current, and calculating the average value of all first monitoring battery temperature fields in the first investigation record set to generate a corresponding first average voltage. The system first sets the average temperature; and when the first average voltage exceeds the preset safe voltage range, it sets the corresponding first voltage abnormality flag as a preset activation flag; when the first average current exceeds the preset safe current range, it sets the corresponding first current abnormality flag as an activation flag; when the first average temperature exceeds the preset safe temperature range, it sets the corresponding first temperature abnormality flag as an activation flag; and when the first voltage abnormality flag, the first current abnormality flag, or the first temperature abnormality flag is activated, it substitutes the second index into the preset voltage abnormality, current abnormality, or temperature abnormality warning template to perform abnormality warning information synthesis processing to obtain the corresponding first voltage abnormality warning information, first current abnormality warning information, or first temperature abnormality warning information; and all the obtained abnormality warning information is used to form the corresponding first battery abnormality report and display it.

[0127] The energy management system of Embodiment 2 of the present invention periodically inspects whether each energy storage battery in the energy storage system has abnormal voltage, current, or temperature, and generates a corresponding battery abnormality report for each energy storage battery that has abnormal voltage, current, or temperature.

[0128] Figure 4 This is a module structure diagram of a processing device for monitoring an energy storage system provided in Embodiment 3 of the present invention. This device is capable of implementing the processing method for monitoring an energy storage system provided in Embodiment 1 of the present invention. Figure 4 As shown, the device includes: a first acquisition module 201, a first estimation module 202, and a first recording module 203.

[0129] The first acquisition module 201 is used to acquire the real-time current, voltage, and temperature of each energy storage battery in the energy storage system at time t as the corresponding first measurement current I. j,t First measured voltage U j,t and the first measured temperature W j,t And obtain the state of charge (SOC) of each energy storage battery at the previous time t-1 as the corresponding first SOC.j,t-1 ; the energy storage battery index j is greater than or equal to 1.

[0130] The first estimation module 202 is configured to estimate the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t according to the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t-1 to generate a corresponding first SOC j,t .

[0131] The first recording module 203 is configured to store the corresponding first battery monitoring record into the corresponding first battery monitoring record list by the first measured current I j,t , the first measured voltage U j,t , the first measured temperature W j,t , and the first SOC j,t .

[0132] The processing device for monitoring the energy storage system provided in Embodiment Three of the present application is used to execute the steps of the method provided in Embodiment One of the present application, and has similar implementation principles and technical effects, which will not be described here again.

[0133] Figure 5 The module structure diagram of the processing device for monitoring the energy storage system provided in Embodiment Four of the present application is a device capable of implementing the processing method for monitoring the energy storage system provided in Embodiment Two of the present application. As shown in Figure 5 , the device comprises a first monitoring module 301 and a second monitoring module 302.

[0134] The first monitoring module 301 is configured to periodically perform energy storage system capacity analysis according to all the first battery monitoring record lists.

[0135] The second monitoring module 302 is configured to periodically perform energy storage battery safety inspection according to each first battery monitoring record list.

[0136] The processing device for monitoring the energy storage system provided in Embodiment Four of the present application is used to execute the steps of the method provided in Embodiment Two of the present application, and has similar implementation principles and technical effects, which will not be described here again.

[0137] It should be noted that the division of the modules of the above apparatus is only a logical function division, and all or part of the modules can be integrated into one physical entity or physically separated in actual implementation. The modules can all be implemented in the form of software invoked by a processing element, or all be implemented in the form of hardware, or part of the modules are implemented in the form of software invoked by a processing element and part of the modules are implemented in the form of hardware. For example, the acquisition module can be a separately arranged processing element, or can be integrated in a chip of the above apparatus, in addition, the acquisition module can also be stored in the form of program code in a memory of the above apparatus, and the function of the acquisition module is invoked and executed by a processing element of the above apparatus. The implementation of other modules is similar. In addition, all or part of the modules can be integrated together or independently implemented. The processing element described herein can be an integrated circuit having a signal processing capability. In the implementation process, the steps of the method provided by the embodiments of the present application or the modules of the apparatus provided by the embodiments of the present application can be completed by an integrated logic circuit of hardware in the processing element or an instruction in the form of software.

[0138] For example, the modules of the apparatus provided by the embodiments of the present application can be one or more integrated circuits configured as the method provided by the embodiments of the present application, for example: one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), etc. For another example, when a certain module of the apparatus provided by the embodiments of the present application is implemented in the form of program code invoked by a processing element, the processing element can be a general purpose processor, for example, a central processing unit (CPU) or other processor capable of invoking program code. For another example, the modules of the apparatus provided by the embodiments of the present application can be integrated together to be implemented in the form of a system on a chip (SOC).

[0139] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. This computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the methods provided according to the embodiments of the present invention are generated. The computer described above can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The aforementioned computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the aforementioned computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, Bluetooth, microwave, etc.) means. The aforementioned computer-readable storage medium can be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The aforementioned available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0140] Figure 6 This is a module structure diagram of a processing system for monitoring an energy storage system provided in Embodiment 5 of the present invention, as shown below. Figure 6 As shown, the system of Embodiment 5 of the present invention may specifically include: a first device 401 and a second device 402; the first device 401 is as follows: Figure 4 The diagram shows a processing device for monitoring an energy storage system, wherein the second device 402 is as follows: Figure 5 The diagram shows a processing device for monitoring an energy storage system.

[0141] Figure 7 This is a modular structure diagram of a processing component for monitoring an energy storage system provided in Embodiment Six of the present invention. This component is an electronic component, electronic device, or server that implements the method provided in Embodiment One or Embodiment Two of the present invention. Figure 7As shown, the component can include a processor 601 (such as a CPU) and a memory 602; the memory 602 stores instructions executable by the at least one processor 601, and the at least one processor 601 executes the instructions to enable the at least one processor 601 to perform the method provided by Embodiment One or Embodiment Two of the present application. Preferably, the component related by Embodiment Six of the present application can further include a transceiver 603, a power supply 604, a system bus 605, and a communication port 606. The transceiver 603 is coupled to the processor 601, the system bus 605 is used to realize the communication connection between elements, and the communication port 606 is used to realize the connection communication between the component and other peripherals.

[0142] In Figure 7 the system bus mentioned in the above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus. The communication interface is used to realize the communication between the database access device and other devices (such as a client, a read-write library, and a read-only library). The memory can include a Random Access Memory (RAM), and can also include a Non-Volatile Memory, such as at least one disk memory.

[0143] The processor mentioned above can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; can also be a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0144] The processing method, device, system and component for monitoring the energy storage system provided by the embodiment of the present application can track the current, voltage and temperature of each energy storage battery in the energy storage system in real time, estimate the state of charge according to the obtained real-time current, voltage and temperature, track and record the real-time current, voltage, temperature and state of charge of each energy storage battery through the battery monitoring record list, and periodically analyze the capacity of the energy storage system and check the safety of the energy storage battery based on the battery monitoring record list. Through the present application, the overall capacity of the energy storage system can be tracked and refreshed, the real-time state (such as current, voltage, temperature, battery state of charge, etc.) of each energy storage battery in the system can be tracked, analyzed and checked for safety, and the monitoring granularity of the energy storage system is refined and the management accuracy of the energy storage system is improved.

[0145] Those skilled in the art should further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been described in the above description in general terms. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0146] The steps of the method or algorithm described in combination with the embodiments disclosed herein can be implemented in hardware, software modules executed by a processor, or a combination of both. The software modules can be placed in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art.

[0147] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for monitoring an energy storage system, characterized in that, The method includes: At time t, the real-time current, voltage, and temperature of each energy storage battery in the energy storage system are acquired as the corresponding first measurement current I. j,t First measured voltage U j,t and the first measured temperature W j,t And obtain the state of charge (SOC) of each of the energy storage batteries at the previous time t-1 as the corresponding first SOC. j,t-1 Energy storage battery index j≥1; According to the first measured current I j,t The first measured voltage U j,t The first measured temperature W j,t and the first SOC j,t-1 Estimate the state of charge (SOC) of the energy storage battery corresponding to the energy storage battery index j at the current time t to generate the corresponding first SOC. j,t Specifically, it includes: According to the first SOC j,t-1 The first measured current I at the previous time t-1 j,t-1 The first estimate is generated by predicting the battery state of charge at the current time t. According to the first estimate The first measured temperature W j,t The first measuring current I j,t Based on the preset battery equivalent circuit model, the battery voltage at the current time t is estimated using the model voltage estimation to generate the corresponding first estimated voltage. Specifically, it includes: Query the preset battery parameter list, match the first battery index field with the energy storage battery index j, and ensure that the first state of charge field meets the first estimate. And the first temperature field satisfies the first measured temperature W j,t The first battery parameter record is denoted as the corresponding matching record; the battery parameter list includes multiple first battery parameter records; the first battery parameter record includes a first battery index field, a first state of charge field, a first temperature field, a first OCV field, a first ohmic internal resistance field, a first polarization internal resistance field, and a first polarization capacitance field; the first state of charge field includes a state of charge range; the first temperature field includes a temperature range; The first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field, and the first polarization capacitance field of the matching record are extracted as the corresponding first OCV. j,t First ohmic internal resistance R 1j,t First polarization internal resistance R 2j,t and the first polarization capacitor C j,t ; According to the first polarization internal resistance R 2j,t and the first polarization capacitor C j,t Calculate and generate the corresponding first time constant τ j,t , The first voltage at the previous time t-1 First measured current I j,t-1 First polarization internal resistance R 2j,t-1 and the first time constant τ at the current time t j,t The first OCV j,t The first ohmic internal resistance The first measured current I j,t Substituting the equivalent equations of the battery equivalent circuit model into the equations, the corresponding second voltage is obtained. and the second voltage As the corresponding first estimated voltage Output; Based on the first estimated voltage and the first measured voltage U j,t Perform voltage error estimation to generate the corresponding first voltage error ΔU j,t ; According to the first voltage error ΔU j,t For the first estimate Perform battery state of charge correction processing to generate the corresponding first SOC. j,t ; From the first measured current I j,t The first measured voltage U j,t The first measured temperature W j,t and the first SOC j,t The corresponding first battery monitoring records are stored in the corresponding first battery monitoring record list.

2. The processing method for monitoring an energy storage system according to claim 1, characterized in that, According to the first SOC j,t-1 The first measured current I at the previous time t-1 j,t-1 The first estimate is generated by predicting the battery state of charge at the current time t. Specifically, it includes: The first SOC j,t-1 and the first measured current I j,t-1 Substituting the values ​​into the estimation equation of the ampere-hour integral method, the corresponding first estimate is generated. The estimation equation for the ampere-hour integral method is as follows: η j C represents the corresponding charge / discharge efficiency of the energy storage battery. j,max This represents the maximum usable battery capacity of the corresponding energy storage battery.

3. The processing method for monitoring an energy storage system according to claim 1, characterized in that, The battery equivalent circuit model is a first-order RC model; the first-order RC model includes the open-circuit voltage OCV and the ohmic internal resistance R. 1 Polarization internal resistance R 2 and polarization capacitor C; the positive terminal of the open-circuit voltage OCV is connected to the ohmic internal resistance R. 1 One end is connected; the ohmic internal resistance R 1 The other end is connected in parallel with the polarization internal resistance R. 2 One end of the polarization capacitor C is connected; the polarization internal resistance R is connected in parallel. 2 The other end of the polarization capacitor C is denoted as the first end; the polarization internal resistance R connected in parallel is... 2 The voltage across the polarization capacitor C is denoted as the first voltage U. 1 The voltage between the first terminal and the negative terminal of the open-circuit voltage OCV is denoted as the second voltage U. * .

4. The processing method for monitoring an energy storage system according to claim 3, characterized in that, The equivalent equations of the battery equivalent circuit model are: △t is the time interval from time t-1 to t. τ j,t Let be the first time constant of the corresponding energy storage battery at time t. R 1j,t Let R be the first ohmic internal resistance of the corresponding energy storage battery at time t. 1 , R 2j,t-1 R is the first polarization internal resistance of the corresponding energy storage battery at time t-1. 2 , The corresponding first voltage U of the energy storage battery at times t-1 and t 1 , OCV j,t The corresponding first open-circuit voltage OCV of the energy storage battery at time t. The second voltage U of the corresponding energy storage battery at time t * , I j,t-1 I j,t The corresponding energy storage battery has a first measured current I at times t-1 and t.

5. The processing method for monitoring an energy storage system according to claim 1, characterized in that, The first estimated voltage and the first measured voltage U j,t Perform voltage error estimation to generate the corresponding first voltage error ΔU j,t Specifically, it includes: The first estimated voltage and the first measured voltage U j,t The voltage difference is taken as the corresponding first voltage error ΔU j,t , 6. The processing method for monitoring an energy storage system according to claim 4, characterized in that, The first voltage error ΔU j,t For the first estimate Perform battery state of charge correction processing to generate the corresponding first SOC. j,t Specifically, it includes: Let the state of charge (SOC) of the energy storage battery be the state variable X, and the measured voltage U of the energy storage battery be the state variable U. j,t For the observed quantity Y, the state-observation equations of the extended Kalman filter are constructed by referring to the equivalent equations of the battery equivalent circuit model and the estimation equations of the ampere-hour integration method: f() is the state prediction function, g() is the state-observation transition function, and w t v t This is the noise matrix; Solving the state-observation equations of the extended Kalman filter at time t yields the corresponding first gain K. t ; The first estimate X is the one-step predicted state quantity of the extended Kalman filter. t-1|t The first voltage error △U j,t The observation error ΔY of the extended Kalman filter t And the predicted state variable X in the first step t-1|t The first gain K t and the observation error ΔY t Substituting the state variables of the extended Kalman filter into the modified form, the corresponding first SOC is calculated and generated. j,t , The state variable of the extended Kalman filter is formally modified as follows: X t =X t-1|t +K t ΔY t , The first SOC j,t for:

7. The method for monitoring an energy storage system according to claim 1, characterized in that, The first battery monitoring record list includes multiple first battery monitoring records; the first battery monitoring record includes a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field, and a first monitoring battery state of charge field.

8. The processing method for monitoring an energy storage system according to claim 7, characterized in that, The first measured current I j,t The first measured voltage U j,t The first measured temperature W j,t and the first SOC j,t The corresponding first battery monitoring record is stored in the corresponding first battery monitoring record list, which specifically includes: The energy storage battery index j is used as the corresponding first monitoring battery index field, and the current time t is used as the corresponding first monitoring time field, and the first measured current I is used as the first monitoring current field. j,t As the corresponding first monitored battery current field, and the first measured voltage U j,t As the corresponding first monitored battery voltage field, and the first measured temperature W j,t As the corresponding first monitored battery temperature field, and the first SOC j,t As the corresponding first monitoring battery state of charge field; and the first monitoring battery index field, the first monitoring time field, the first monitoring battery current field, the first monitoring battery voltage field, the first monitoring battery temperature field and the first monitoring battery state of charge field are used to form the corresponding first battery monitoring record; and the obtained first battery monitoring record is added to the first battery monitoring record list corresponding to the energy storage battery index j.

9. A method for monitoring an energy storage system, characterized in that, The method includes: Obtain a first battery monitoring record list obtained by the processing method for monitoring the energy storage system as described in any one of claims 1–8; Periodically perform energy storage system capacity analysis based on all first battery monitoring record lists; Regularly conduct safety checks on the energy storage batteries based on the monitoring record lists of each of the first batteries.

10. The processing method for monitoring an energy storage system according to claim 9, characterized in that, Each energy storage battery in the energy storage system corresponds to a first battery monitoring record list; The first battery monitoring record list includes multiple first battery monitoring records; the first battery monitoring record includes a first monitoring battery index field, a first monitoring time field, a first monitoring battery current field, a first monitoring battery voltage field, a first monitoring battery temperature field, and a first monitoring battery state of charge field.

11. The processing method for monitoring an energy storage system according to claim 10, characterized in that, The periodic energy storage system capacity analysis based on all first battery monitoring record lists specifically includes: Every preset first time interval, a full list traversal is performed on all the first battery monitoring record lists. During the traversal, the currently traversed first battery monitoring record list is taken as the corresponding current battery monitoring record list; the battery index of the energy storage battery corresponding to the current battery monitoring record list is taken as the corresponding first index; the first battery state of charge field of the first battery monitoring record corresponding to the first monitoring time field closest to the current time in the current battery monitoring record list is extracted as the corresponding first battery state of charge; and a preset first battery product information list is queried, the first battery maximum available battery capacity field of the first battery product information record whose first battery index field matches the first index is extracted as the corresponding first battery capacity; and the product of the first battery state of charge and the first battery maximum capacity is taken as the corresponding first battery capacity. At the end of the traversal, the sum of all the first battery capacities is calculated to generate the corresponding first energy storage system capacity and displayed.

12. The processing method for monitoring an energy storage system according to claim 10, characterized in that, The periodic safety checks of the energy storage batteries based on the monitoring record lists of each of the first batteries specifically include: Every preset second time interval, a full list traversal is performed on all the first battery monitoring record lists. During the traversal, the currently traversed first battery monitoring record list is used as the corresponding current battery monitoring record list; the battery index of the energy storage battery corresponding to the current battery monitoring record list is used as the corresponding second index; a specified number of first battery monitoring records closest to the current time are extracted from the current battery monitoring record list to form a corresponding first investigation record set; the average value of all first monitoring battery voltage fields in the first investigation record set is calculated to generate a corresponding first average voltage, the average value of all first monitoring battery current fields in the first investigation record set is calculated to generate a corresponding first average current, and the average value of all first monitoring battery temperature fields in the first investigation record set is calculated to generate a corresponding first average current. The first average temperature is set; and when the first average voltage exceeds a preset safe voltage range, the corresponding first voltage abnormality flag is set as a preset activation flag; when the first average current exceeds a preset safe current range, the corresponding first current abnormality flag is set as the activation flag; when the first average temperature exceeds a preset safe temperature range, the corresponding first temperature abnormality flag is set as the activation flag; and when the first voltage abnormality flag, the first current abnormality flag, or the first temperature abnormality flag is the activation flag, the second index is substituted into a preset voltage abnormality, current abnormality, or temperature abnormality warning template to perform abnormality warning information synthesis processing to obtain the corresponding first voltage abnormality warning information, first current abnormality warning information, or first temperature abnormality warning information; and all the obtained abnormality warning information is used to form a corresponding first battery abnormality report and displayed.

13. An apparatus for implementing the processing method for monitoring an energy storage system as described in any one of claims 1-8, characterized in that, The device includes: a first acquisition module, a first estimation module, and a first recording module; The first acquisition module is used to acquire the real-time current, voltage, and temperature of each energy storage battery in the energy storage system at time t as the corresponding first measurement current I. j,t First measured voltage U j,t and the first measured temperature W j,t And obtain the state of charge (SOC) of each of the energy storage batteries at the previous time t-1 as the corresponding first SOC. j,t-1 Energy storage battery index j≥1; The first estimation module is used to estimate the first measured current I. j,t The first measured voltage U j,t The first measured temperature W j,t and the first SOC j,t-1 Estimate the state of charge (SOC) of the energy storage battery corresponding to the energy storage battery index j at the current time t to generate the corresponding first SOC. j,t Specifically, it includes: According to the first SOC j,t-1 The first measured current I at the previous time t-1 j,t-1 The first estimate is generated by predicting the battery state of charge at the current time t. According to the first estimate The first measured temperature W j,t The first measuring current I j,t Based on the preset battery equivalent circuit model, the battery voltage at the current time t is estimated using the model voltage estimation to generate the corresponding first estimated voltage. Specifically, it includes: Query the preset battery parameter list, match the first battery index field with the energy storage battery index j, and ensure that the first state of charge field meets the first estimate. And the first temperature field satisfies the first measured temperature W j,t The first battery parameter record is denoted as the corresponding matching record; the battery parameter list includes multiple first battery parameter records; the first battery parameter record includes a first battery index field, a first state of charge field, a first temperature field, a first OCV field, a first ohmic internal resistance field, a first polarization internal resistance field, and a first polarization capacitance field; the first state of charge field includes a state of charge range; the first temperature field includes a temperature range; The first OCV field, the first ohmic internal resistance field, the first polarization internal resistance field, and the first polarization capacitance field of the matching record are extracted as the corresponding first OCV. j,t First ohmic internal resistance R 1j,t First polarization internal resistance R 2j,t and the first polarization capacitor C j,t ; According to the first polarization internal resistance R 2j,t and the first polarization capacitor C j,t Calculate and generate the corresponding first time constant τ j,t , The first voltage at the previous time t-1 First measured current I j,t-1 First polarization internal resistance R 2j,t-1 and the first time constant τ at the current time t j,t The first OCV j,t The first ohmic internal resistance The first measured current I j,t Substituting the equivalent equations of the battery equivalent circuit model into the equations, the corresponding second voltage is obtained. and the second voltage As the corresponding first estimated voltage Output; Based on the first estimated voltage and the first measured voltage U j,t Perform voltage error estimation to generate the corresponding first voltage error ΔU j,t ; According to the first voltage error ΔU j,t For the first estimate Perform battery state of charge correction processing to generate the corresponding first SOC. j,t ; The first recording module is used to record the first measured current I. j,t The first measured voltage U j,t The first measured temperature W j,t and the first SOC j,t The corresponding first battery monitoring records are stored in the corresponding first battery monitoring record list.

14. An apparatus for implementing the processing method for monitoring an energy storage system according to any one of claims 9-12, characterized in that, The device includes: a first monitoring module and a second monitoring module; The first monitoring module is used to periodically perform energy storage system capacity analysis based on a list of all first battery monitoring records; The second monitoring module is used to periodically conduct safety checks on the energy storage batteries based on the monitoring record lists of each of the first batteries.

15. A processing system for monitoring an energy storage system, characterized in that, The system includes the apparatus of claim 13 or the apparatus of claim 14.

16. A processing component for monitoring an energy storage system, characterized in that, The component includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a processing method for monitoring an energy storage system as described in any one of claims 1-8, or to perform a processing method for monitoring an energy storage system as described in any one of claims 9-12.

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