CN115856637A

CN115856637A - Processing method, device, system and component for monitoring energy storage system

Info

Publication number: CN115856637A
Application number: CN202211549684.1A
Authority: CN
Inventors: 请求不公布姓名; 李建朋; 蒋亚西; 岳川元; 金梦磊; 李成杰
Original assignee: Zhejiang Anji Zhidian Holding Co Ltd
Current assignee: Zhejiang Anji Zhidian Holding Co Ltd
Priority date: 2022-12-05
Filing date: 2022-12-05
Publication date: 2023-03-28

Abstract

The embodiment of the invention relates to a processing method, a device, a system and a component for monitoring an energy storage system, wherein the method comprises the following steps: obtaining a first measurement current I of each energy storage battery in an energy storage system _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last moment as a first SOC _j,t‑1 (ii) a According to the first measuring current I _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t‑1 Estimating the battery state of charge of the energy storage battery to generate a first SOC _j,t (ii) a From the first measuring current I _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t Make up ofThe first battery monitoring record is stored in the corresponding first battery monitoring record list. The invention can refine the monitoring granularity of the energy storage system and improve the management precision of the energy storage system.

Description

Processing method, device, system and component for monitoring energy storage system

Technical Field

The invention relates to the technical field of signal processing, in particular to a processing method, a device, a system and a component for monitoring an energy storage system.

Background

The integrated power station system of "light storage and charging" refers to a small-sized power distribution and utilization system composed of an energy management system, a photovoltaic power generation system, an energy storage system, a charging facility and the like, and is also called a microgrid. The energy storage system is composed of a plurality of energy storage batteries. The energy storage system can store the output power of the photovoltaic power generation system through the energy storage battery, and the energy storage battery discharges to supply power to the charging facility in the time period when the power generation capacity of the photovoltaic power generation system is weak (such as the time period at night, or the time period in bad weather such as rainy days and cloudy days). To ensure that the energy storage system can work properly, the energy management system is required to monitor the real-time status of the energy storage system. However, when monitoring an energy storage system, a current common energy management system focuses on the change of the overall charge-discharge rate of the system, and does not track the real-time states (such as current, voltage, temperature, battery charge state, and the like) of each energy storage battery in the system; the monitoring granularity of the conventional monitoring mode is too coarse, and the energy storage system cannot be subjected to fine management.

Disclosure of Invention

The invention aims to provide a processing method, a device, a system and components for monitoring an energy storage system, which are used for tracking the current, the voltage and the temperature of each energy storage battery in the energy storage system in real time, estimating the state of charge (SOC) according to the acquired real-time current, voltage and temperature, and tracking and recording the real-time current, the voltage, the temperature and the SOC of each energy storage battery through a battery monitoring and recording list; and periodically analyzing the capacity of the energy storage system and checking the safety of the energy storage battery based on the battery monitoring record list. The invention can track and refresh the whole capacity of the energy storage system, and track, analyze and safely check the real-time state (such as current, voltage, temperature, battery charge state and the like) of each energy storage battery in the system, thereby achieving the purposes of refining the monitoring granularity of the energy storage system and improving the management precision of the energy storage system.

In order to achieve the above object, a first aspect of the embodiments of the present invention provides a processing method for monitoring an energy storage system, where the method includes:

acquiring real-time current, voltage and temperature of each energy storage battery in the energy storage system at time t as corresponding first measurement current I _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last time t-1 as a corresponding first SOC _j,t-1 (ii) a The index j of the energy storage battery is more than or equal to 1;

according to the first measuring current I _j,t The first measurement voltage U _j,t 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 energy storage battery index j at the current moment t to generate a corresponding first SOC _j,t ；

From said first measuring current I _j,t The first measurement voltage U _j,t The first measured temperature W _j,t And the first SOC _j,t And forming corresponding first battery monitoring records and storing the corresponding first battery monitoring records into a corresponding first battery monitoring record list.

Preferably, said measuring current I is dependent on said first measurement current _j,t The first measurement voltage U _j,t 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 energy storage battery index j at the current moment t to generate a corresponding first SOC _j,t The method specifically comprises the following steps:

according to the first SOC _j,t-1 And a first measuring current I at a previous instant t-1 _j,t-1 Estimating the battery state of charge at the current time t to generate a corresponding first estimated SOC _j ^* _,t ；

According to the first estimated SOC _j ^* _,t The first measured temperature W _j,t The first measurement current I _j,t Performing model voltage estimation on the battery voltage at the current moment t by using a preset battery equivalent circuit model to generate a corresponding first estimated voltage U _j ^* _,t ；

According to the first estimated voltage U _j ^* _,t And the first measurement voltage U _j,t Performing a voltage error estimation to generate a corresponding first voltage error DeltaU _j,t ；

According to the first voltage error DeltaU _j,t For the first estimated SOC _j ^* _,t Performing battery state of charge correction processing to generate the corresponding first SOC _j,t 。

Further, the method is based on the first SOC _j,t-1 And a first measuring current I at a preceding time t-1 _j,t-1 Estimating the battery state of charge at the current time t to generate a corresponding first estimated SOC _j ^* _,t The method specifically comprises the following steps:

the first SOC _j,t-1 And the first measuring current I _j,t-1 Substituting the estimation equation of the ampere-hour integral method for calculation to generate the corresponding first estimated SOC _j ^* _,t ；

The estimation equation of the ampere-hour integral method is as follows:

η _j for corresponding charging/discharging efficiency of said energy storage cell, C _j,max Is the maximum available battery capacity of the corresponding energy storage battery.

Further, the battery equivalent circuit model is a first-order RCA model; the first-order RC model comprises an open-circuit voltage OCV and an ohmic internal resistance R ¹ Internal polarization resistance R ² And a polarization capacitance C; the positive pole of the open-circuit voltage OCV and the ohmic internal resistance R ¹ Is connected with one end of the connecting rod; the ohmic internal resistance R ¹ And the other end of the polarization switch is connected with the polarization internal resistance R in parallel ² Is connected with one end of the polarization capacitor C; the polarization internal resistances R connected in parallel ² And the other end of the polarization capacitor C is taken as a first end; the polarization internal resistances R connected in parallel ² The voltage between the two ends of the polarization capacitor C is recorded as a first voltage U ¹ (ii) a The voltage between the first end and the negative electrode of the open-circuit voltage OCV is recorded as a second voltage U ^* 。

Further, the equivalent equation set of the battery equivalent circuit model is as follows:

at is the time interval from time t-1 to t,

τ _j,t for the time constant of the corresponding energy storage battery at time t,

R ¹ _j,t ohmic internal resistance R for the corresponding energy storage cell at time t ¹ ，

R ² _j,t-1 The polarization internal resistance R of the corresponding energy storage cell at time t-1 ² ，

U ¹ _j,t-1 、U ¹ _j,t The first voltage U of the corresponding energy storage battery at the time t-1 and t ¹ ，

OCV _j,t For the open-circuit voltage OCV of the corresponding energy storage cell at time t,

the second voltage U at time t for the corresponding energy storage battery ^* ，

I _j,t-1 、I _j,t Corresponding energy storage battery at the momentt-1, t.

Further, the first estimation is based on

The first measured temperature W _j,t The first measurement current I _j,t And performing model voltage estimation on the battery voltage at the current moment t by using a preset battery equivalent circuit model to generate a corresponding first estimation voltage->

The method specifically comprises the following steps:

inquiring a preset battery parameter list, matching a first battery index field with the energy storage battery index j, and enabling a first charge state field to meet the first estimation

And the first temperature field satisfies the first measured temperature W _j,t The first battery parameter record is recorded as a corresponding matching record; and extracting a first OCV field, a first ohmic internal resistance field, a first polarization internal resistance field and a first polarization capacitance field of the matching record as corresponding first OCV _j,t First ohmic internal resistance

First polarization internal resistance->

And a first polarization capacitor C _j,t (ii) a The battery parameter list comprises a plurality of first battery parameter records; the first battery parameter record comprises 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 comprises a state of charge range; the first temperature field comprises a temperature range;

according to the firstInternal resistance of polarization

And said first polarization capacitance C _j,t Calculating to generate a corresponding first time constant tau _,t ，/>

The first voltage at the previous time t-1

A first measurement current I _j,t-1 The first polarization internal resistance->

And said first time constant τ of the current instant t _j,t The first OCV _j,t The first ohmic internal resistance->

The first measurement current I _j,t Substituting the equivalent equation set of the battery equivalent circuit model for calculation to obtain corresponding second voltage ^ and ^ corresponding to the equivalent equation set of the battery equivalent circuit model>

And combining said second voltage +>

As a corresponding said first evaluation voltage->

And (6) outputting.

Further, said estimating a voltage based on said first estimate

And the first measurement voltage U _j,t Performing a voltage error estimation to generate a corresponding first voltage error DeltaU _j,t The method specifically comprises the following steps:

will be described inFirst estimated voltage

And the first measurement voltage U _j,t As a corresponding first voltage error Δ U _j,t ，/>

Further, said first voltage error Δ U is based on said first voltage error _j,t For the first estimation

Performing battery state of charge correction processing to generate the corresponding first SOC _j,t The method specifically comprises the following steps:

taking the battery charge state SOC of the energy storage battery as a state quantity X and taking the measurement voltage U of the energy storage battery _j,t And for the observed quantity Y, establishing a state-observation equation set of the extended Kalman filter by referring to an equivalent equation set of the battery equivalent circuit model and an estimation equation of an ampere-hour integral method, wherein the state-observation equation set comprises the following steps:

f () is a state quantity prediction function, g () is a state-observation transfer function, w _t 、v _t Is a noise matrix;

solving the Kalman gain of the state-observation equation set of the extended Kalman filter at the moment t to obtain a corresponding first gain K _t ；

The first estimated SOC _j ^* _,t As a one-step predicted state quantity X of the extended Kalman filter _t-1|t Error of the first voltage DeltaU _j,t As an observation error amount Δ Y of the extended kalman filter _t And predicting the state quantity X by the one step _t-1|t The first gain K _t And the amount of the observation error Δ Y _t Substituting state quantities of the extended Kalman filterCalculating a correction formula to generate the corresponding first SOC _j,t ，

The state quantity correction formula of the extended Kalman filter is as follows: x _t ＝X _t-1|t +K _t ΔY _t ，

The first SOC _j,t Comprises the following steps:

further, the first battery monitoring record list comprises a plurality of first battery monitoring records; 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.

Preferably, said first measurement current I _j,t The first measurement voltage U _j,t The first measured temperature W _j,t And the first SOC _j,t Form the first battery monitoring record that corresponds and deposit the first battery monitoring record list that corresponds in, specifically include:

taking the energy storage battery index j as the corresponding first monitoring battery index field, taking the current moment t as the corresponding first monitoring time field, and taking the first measurement current I _j,t As the corresponding first monitoring battery current field, and applying 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 comparing the first SOC _j,t As a corresponding first monitoring battery state of charge field; the obtained 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 form a corresponding first battery monitoring record; and recording the obtained monitoring direction of the first battery with the energy storage batteryAdding the first battery monitoring record list corresponding to the index j.

A second aspect of the embodiments of the present invention provides a processing method for monitoring an energy storage system, where the method includes:

periodically analyzing the capacity of the energy storage system according to all the first battery monitoring record lists;

and regularly checking the safety of the energy storage battery according to each first battery monitoring record list.

Preferably, each energy storage battery in the energy storage system corresponds to one first battery monitoring record list; the first battery monitoring record list comprises a plurality of first battery monitoring records; 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.

Preferably, the periodically analyzing the capacity of the energy storage system according to all the first battery monitoring record lists specifically includes:

performing full-list traversal on all the first battery monitoring record lists at intervals of a preset first time interval; during traversal, taking the first battery monitoring record list traversed currently 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; extracting the first monitoring 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 as the corresponding first battery state of charge; inquiring a preset first battery product information list, and extracting a first battery index field and a first battery maximum available battery capacity field of a first battery product information record matched with the first index as corresponding first battery capacity; taking the product of the first battery state of charge and the maximum capacity of the first battery as the corresponding first battery capacity;

and when the traversal is finished, summing all the obtained first battery capacities to generate and display a corresponding first energy storage system capacity.

Preferably, the periodically performing safety check on the energy storage battery according to each first battery monitoring record list specifically includes:

performing full-list traversal on all the first battery monitoring record lists at intervals of a preset second time interval; during traversal, taking the first battery monitoring record list traversed currently 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 second index; extracting a specified number of first battery monitoring records which are closest to the current time in the current battery monitoring record list to form a corresponding first checking record set; carrying out average calculation on all the first monitoring battery voltage fields in the first examination record set to generate corresponding first average voltage, carrying out average calculation on all the first monitoring battery current fields in the first examination record set to generate corresponding first average current, and carrying out average calculation on all the first monitoring battery temperature fields in the first examination record set to generate corresponding first average temperature; when the first average voltage exceeds a preset safe voltage range, setting a corresponding first voltage abnormal zone bit as a preset activation mark; when the first average current exceeds a preset safe current range, setting a corresponding first current abnormal zone bit as the activation mark; when the first average temperature exceeds a preset safe temperature range, setting a corresponding first temperature abnormal zone bit as the activation mark; when the first voltage abnormal zone bit, the first current abnormal zone bit or the first temperature abnormal zone bit is the activation mark, substituting the second index into a preset voltage abnormal, current abnormal or temperature abnormal warning template to perform abnormal warning information synthesis processing to obtain corresponding first voltage abnormal warning information, first current abnormal warning information or first temperature abnormal warning information; and all the obtained abnormality warning information forms a corresponding first battery abnormality report and displays the report.

A third aspect of the embodiments of the present invention provides an apparatus for implementing the processing method for monitoring an energy storage system according to the first aspect of the embodiments of the present invention, where the apparatus includes: the device comprises a first acquisition module, a first estimation module and a first recording module;

the first acquisition module is used for acquiring real-time current, voltage and temperature of each energy storage battery in the energy storage system at the moment t as corresponding first measurement current I _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last moment t-1 as a corresponding first SOC _j,t-1 (ii) a The index j of the energy storage battery is more than or equal to 1;

the first estimation module is used for estimating the first measurement current I _j,t The first measurement voltage U _j,t 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 energy storage battery index j at the current moment t to generate a corresponding first SOC _j,t ；

The first recording module is used for measuring the current I by the first measuring current _j,t The first measurement voltage U _j,t The first measured temperature W _j,t And the first SOC _j,t And forming corresponding first battery monitoring records and storing the corresponding first battery monitoring records into a corresponding first battery monitoring record list.

A fourth aspect of the embodiments of the present invention provides an apparatus for implementing the processing method for monitoring an energy storage system according to the second aspect of the embodiments of the present invention, where the apparatus includes: a first monitoring module and a second monitoring module;

the first monitoring module is used for periodically analyzing the capacity of the energy storage system according to all the first battery monitoring record lists;

and the second monitoring module is used for carrying out safety investigation on the energy storage battery periodically according to each first battery monitoring record list.

A fifth aspect of an embodiment of the present invention provides a processing system for monitoring an energy storage system, where the system includes: apparatus according to the third aspect of embodiments of the present invention and apparatus according to the fourth aspect of embodiments of the present invention.

A sixth aspect of an embodiment of the present invention provides a processing component for monitoring an energy storage system, where the component includes: at least one processor; and a memory communicatively coupled to the at least one processor; 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 perform the processing method for monitoring an energy storage system according to the first aspect of the embodiment of the present invention, or the processing method for monitoring an energy storage system according to the second aspect of the embodiment of the present invention.

The embodiment of the invention provides a processing method, a device, a system and a component for monitoring an energy storage system, which are used for tracking the current, the voltage and the temperature of each energy storage battery in the energy storage system in real time, estimating the state of charge according to the acquired real-time current, voltage and temperature and tracking and recording the real-time current, voltage, temperature and state of charge of each energy storage battery through a battery monitoring and recording list; and periodically analyzing the capacity of the energy storage system and checking the safety of the energy storage battery based on the battery monitoring record list. The invention can track and refresh the whole capacity of the energy storage system, track, analyze and safely check the real-time state (such as current, voltage, temperature, battery charge state and the like) of each energy storage battery in the system, refine the monitoring granularity of the energy storage system and improve the management precision of the energy storage system.

Drawings

Fig. 1 is a schematic diagram of a processing method for monitoring an energy storage system according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a first-order RC model according to a first embodiment of the present invention;

fig. 3 is a schematic diagram of a processing method for monitoring an energy storage system according to a second embodiment of the present invention;

fig. 4 is a block diagram of a processing device for monitoring an energy storage system according to a third embodiment of the present invention;

fig. 5 is a block diagram of a processing device for monitoring an energy storage system according to a fourth embodiment of the present invention;

fig. 6 is a block diagram of a processing system for monitoring an energy storage system according to a fifth embodiment of the present invention;

fig. 7 is a block diagram of a processing unit for monitoring an energy storage system according to a sixth embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.

An embodiment of the present invention provides a processing method for monitoring an energy storage system, as shown in fig. 1, which is a schematic diagram of the processing method for monitoring an energy storage system according to the embodiment of the present invention, the method mainly includes the following steps:

step 1, acquiring real-time current, voltage and temperature of each energy storage battery in an energy storage system at a moment t as corresponding first measurement current I _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last time t-1 as a corresponding first SOC _j,t-1 ；

Wherein the index j of the energy storage battery is more than or equal to 1.

Here, the energy management system of the optical storage charging station regularly obtains the real-time current, voltage and temperature of each energy storage battery from the energy storage system according to a preset data sampling frequency, namely, the first measured current I at any time t _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t Storing the electricity at the last time t-1The state of charge of the cell is read out as the corresponding first SOC _j,t-1 。

Step 2, according to the first measuring current I _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t-1 Estimating the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t to generate a corresponding first SOC _j,t ；

Here, the energy management system according to the first embodiment of the present invention 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;

the method specifically comprises the following steps: step 21, according to the first SOC _j,t-1 And a first measuring current I at a preceding time t-1 _j,t-1 Estimating the battery state of charge at the current moment t to generate a corresponding first estimation

The method specifically comprises the following steps: the first SOC _j,t-1 And a first measuring current I _j,t-1 Substituting the estimated equation of the ampere-hour integral method for calculation to generate a corresponding first estimation

The estimation equation of the ampere-hour integral method is as follows:

η _j for the charging/discharging efficiency of the corresponding energy storage cell, C _j,max The maximum available battery capacity of the corresponding energy storage battery;

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 is accumulated, and the estimation result error is increased; therefore, in the embodiment of the present invention, after the state of charge estimation is completed by the current step, the estimation result, i.e. the first estimation result, is also processed by the subsequent steps 22-24

Correcting;

step 22, according to the first estimation

First measured temperature W _j,t A first measurement current I _j,t Performing model voltage estimation on the battery voltage at the current moment t by using a preset battery equivalent circuit model to generate a corresponding first estimated voltage->

The battery equivalent circuit model of the first embodiment of the present invention is a first-order RC model, as shown in fig. 2, which is a schematic diagram of the first-order RC model provided in the first embodiment of the present invention; the first-order RC model comprises an open-circuit voltage OCV and an ohmic internal resistance R ¹ Internal polarization resistance R ² And a polarization capacitance C; positive pole of open-circuit voltage OCV and ohm internal resistance R ¹ Is connected with one end of the connecting rod; ohmic internal resistance R ¹ And the other end of the same is connected with the polarization internal resistance R in parallel ² Is connected with one end of the polarization capacitor C; parallel polarized internal resistance R ² And the other end of the polarization capacitor C is marked as a first end; parallel polarized internal resistance R ² The voltage between the two ends of the polarization capacitor C is recorded as a first voltage U ¹ (ii) a The voltage between the first terminal and the negative electrode of the open-circuit voltage OCV is denoted as a second voltage U ^* ；

Based on the first-order RC model, an equivalent equation set of the battery equivalent circuit model can be obtained as follows:

wherein, the first and the second end of the pipe are connected with each other,

at is the time interval from time t-1 to t,

τ _j,t for the time constant of the corresponding energy storage cell at the instant t,

ohmic internal resistance R for the corresponding energy storage cell at time t ¹ ，

Polarization internal resistance R for corresponding energy storage battery at time t-1 ² ，/>

First voltage U of corresponding energy storage battery at time t-1 and t ¹ ，

OCV _j,t The open circuit voltage OCV at time t for the corresponding energy storage cell,

second voltage U at time t for the corresponding energy storage cell ^* ，

I _j,t-1 、I _j,t First measurement current I of the corresponding energy storage battery at the time t-1 and t;

based on the first-order RC model and the equivalent equation set, the current step 22 specifically includes:

step 221, querying a preset battery parameter list, matching the first battery index field with the energy storage battery index j, and satisfying the first pre-estimation of the first state of charge field

And the first temperature field satisfies the first measured temperature W _j,t Recording the first battery parameter record as a corresponding matching record; and extracting a first OCV field, a first ohm internal resistance field, a first polarization internal resistance field and a first polarization capacitance field which are recorded in a matching way as corresponding first OCV _j,t The first ohmic internal resistance->

Internal resistance in first polarization>

And a first polarization capacitor C _j,t ；

The battery parameter list comprises a plurality of first battery parameter records; the first battery parameter record comprises 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 comprises a state of charge range; the first temperature field includes a temperature range;

here, the battery parameter list according to the first embodiment of the present invention is a first-order RC model equivalent circuit parameter (open circuit voltage OCV, ohmic internal resistance R) capable of reflecting the energy storage battery ¹ Internal resistance to polarization R ² A data list of the corresponding relation between the polarization capacitor C) and the real-time data (state of charge SOC, temperature W) of the energy storage battery; each first battery parameter record corresponds to a group of real-time data (state of charge SOC, temperature W) and a group of equivalent circuit parameters (open-circuit voltage OCV, ohmic internal resistance R) of an energy storage battery ¹ Internal resistance to polarization R ² Polarization capacitance C); a first battery index field in the first battery parameter record is a battery index corresponding to the energy storage battery, and 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 one group (state of charge SOC, temperature W); the first OCV field, the first ohmic internal resistance field, the first polarized internal resistance field and the first polarized capacitance field of the first battery parameter record correspond to one group (open-circuit voltage OCV, ohmic internal resistance R) ¹ Internal resistance to polarization R ² Polarization capacitance C); in the embodiment of the invention, a query data (energy storage battery index j + first estimation) is based on

+ a first measured temperature W _j,t ) Inquiring a battery parameter list to obtain the current (first prediction:) condition of the energy storage battery corresponding to the current energy storage battery index j>

+ the first measured temperature W _j,t ) In the case of (1), a set of equivalent circuit parameters (open circuit voltage OCV, ohmic internal resistance R) of an first-order RC model thereof ¹ Internal resistance to polarization R ² Polarization capacitance C) that is the first OCV _j,t First ohmic internal resistance->

First polarization internal resistance>

And a first polarization capacitor C _j,t ；

Step 222, according to the first polarization internal resistance

And a first polarization capacitor C _j,t Calculating to generate a corresponding first time constant tau _j,t ，

Step 223, apply the first voltage at the previous time t-1

A first measuring current I _j,t -1 internal resistance of first polarization

And a first time constant tau of the current time t _j,t First OCV _j,t The first ohmic internal resistance->

A first measuring current I _j,t Substituting the equivalent equation set of the battery equivalent circuit model for calculation to obtain the corresponding second voltage ^ and ^ corresponding to the equivalent equation set>

(ii) a And the second voltage is->

As a corresponding first evaluation voltage pick>

Outputting;

step 23, according to the first estimated voltage

And a first measurement voltage U _j,t Performing a voltage error estimation to generate a corresponding first voltage error DeltaU _j,t ；

The method specifically comprises the following steps: the first estimated voltage

And a first measurement voltage U _j,t As a corresponding first voltage error DeltaU _j,t ，/>

Step 24, according to the first voltage error DeltaU _j,t For the first estimation

Performing battery state of charge correction processing to generate a corresponding first SOC _j,t ；

The method specifically comprises the following steps: step 241, taking the battery state of charge (SOC) of the energy storage battery as a state quantity X, and taking the measurement voltage U of the energy storage battery as a measurement voltage U _j,t For the observed quantity Y, the state-observation equation set of the extended Kalman filter is constructed by referring to an equivalent equation set of a battery equivalent circuit model and an estimation equation of an ampere-hour integral method, and the state-observation equation set is as follows:

here, the number of the first and second electrodes,in the embodiment of the invention, the battery charge state SOC of the energy storage battery is taken as the state quantity X, and the measurement voltage U of the energy storage battery is taken _j,t For the observed quantity Y, the processing mode of constructing the state-observation equation set of the Extended Kalman Filter (EKF) by referring to the equivalent equation set of the battery equivalent circuit model and the estimation equation of the ampere-hour integral method is a conventional processing mode, and the refinement of the state quantity prediction function and the state-observation transfer function can refer to related technical documents, and the repetitive derivation explanation is not made here;

step 242, solving the kalman gain of the state-observation equation set of the extended kalman filter at the time t to obtain a corresponding first gain K _t (ii) a And will predict the first

One-step predicted state quantity X as extended Kalman filter _t-1|t Error of the first voltage DeltaU _j,t Observed error quantity Delta Y as extended Kalman filter _t And predicting the state quantity X in one step _t-1|t First gain K _t And the amount of observation error DeltaY _t Substituting the state quantity correction formula of the extended Kalman filter for calculation to generate a corresponding first SOC _j,t ；

Wherein, the state quantity correction formula of the extended Kalman filter is as follows: x _t ＝X _t-1|t +K _t ΔY _t ，

First SOC _j,t Comprises the following steps:

here, after the extended Kalman filter state-observation equation set is constructed, the Kalman gain for each step, i.e., the first gain K, is solved according to the disclosed method for solving the extended Kalman filter _t And correcting the relation by the system state of the extended Kalman filter state-observation equation set:

it can be seen that the first gain K is obtained _t Then, the state quantity X is predicted in one step _t-1|t I.e. the first estimate

First gain K _t And the amount of observation error DeltaY _t I.e. first voltage error DeltaU _j,t Substitution state quantity correction formula X _t ＝X _t-1|t +K _t ΔY _t Obtaining the corrected state quantity X _t I.e. the first SOC _j,t 。

Step 3, measuring the current I by the first measuring current _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t Forming corresponding first battery monitoring records, and storing the corresponding first battery monitoring records into a corresponding first battery monitoring record list;

the first battery monitoring record list comprises a plurality of first battery monitoring records; 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;

the method specifically comprises the following steps: taking the energy storage battery index j as a corresponding first monitoring battery index field, taking the current moment t as a corresponding first monitoring time field, and taking the first measurement current I _j,t As a corresponding first monitored battery current field, and applying a first measured voltage U _j,t As a corresponding first monitored battery voltage field, and a first measured temperature W _j,t As a corresponding first monitored battery temperature field, and comparing the first SOC _j,t As a corresponding first monitoring battery state of charge field; the obtained 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 form a corresponding first battery monitoring record; and monitoring the obtained first batteryThe records are added to a first battery monitoring record list corresponding to the energy storage battery index j.

The energy management system in the first embodiment of the invention can track the real-time states (such as current, voltage, temperature, battery charge state and the like) of each energy storage battery through the method provided in the first embodiment of the invention, and can also track and refresh the whole capacity of the energy storage system regularly and safely check each energy storage battery through the processing method for monitoring the energy storage system provided in the second embodiment of the invention; fig. 3 is a schematic view of a processing method for monitoring an energy storage system according to a second embodiment of the present invention, as shown in fig. 3, the method mainly includes the following steps:

step 101, periodically analyzing the capacity of the energy storage system according to all the first battery monitoring record lists;

the method specifically comprises the following steps: performing full-list traversal on all the first battery monitoring record lists at intervals of a preset first time interval; during traversal, taking a first battery monitoring record list traversed currently 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; extracting a first monitoring battery state of charge field of a first battery monitoring record corresponding to a first monitoring time field closest to the current time in the current battery monitoring record list as a corresponding first battery state of charge; inquiring a preset first battery product information list, and extracting a first battery index field and a first battery maximum available battery capacity field of a first battery product information record matched with the first index as corresponding first battery capacity; taking the product of the first battery charge state and the maximum capacity of the first battery as the corresponding first battery capacity; and when the traversal is finished, summing all the obtained first battery capacities to generate and display the corresponding first energy storage system capacity.

Here, the energy storage system according to the second embodiment of the present invention is the same as the energy storage system according to the first embodiment of the present invention, and is also composed of a plurality of energy storage batteries; each energy storage battery corresponds to one first battery monitoring record list; the first battery monitoring record list comprises a plurality of first battery monitoring records; 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. In addition, the energy management system of the second embodiment of the present invention is the same as the energy management system of the first embodiment of the present invention; the energy management system of the second embodiment of the invention periodically counts the battery capacities of all the energy storage batteries in the energy storage system and calculates the sum of the statistical results, thereby obtaining the latest system available capacity, namely the capacity of the first energy storage system.

Step 102, periodically carrying out safety inspection on the energy storage battery according to each first battery monitoring record list;

the method specifically comprises the following steps: performing full-list traversal on all the first battery monitoring record lists at intervals of a preset second time interval; during traversal, taking a first battery monitoring record list traversed currently 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 second index; extracting a specified number of first battery monitoring records which are closest to the current time in the current battery monitoring record list to form a corresponding first investigation record set; carrying out average calculation on all first monitoring battery voltage fields in the first examination record set to generate corresponding first average voltage, carrying out average calculation on all first monitoring battery current fields in the first examination record set to generate corresponding first average current, and carrying out average calculation on all first monitoring battery temperature fields in the first examination record set to generate corresponding first average temperature; when the first average voltage exceeds a preset safe voltage range, setting a corresponding first voltage abnormal zone bit as a preset activation mark; when the first average current exceeds a preset safe current range, setting a corresponding first current abnormal zone bit as an activation mark; when the first average temperature exceeds a preset safe temperature range, setting a corresponding first temperature abnormal zone bit as an activation mark; when the first voltage abnormal zone bit, the first current abnormal zone bit or the first temperature abnormal zone bit is an activation mark, substituting the second index into a preset voltage abnormal, current abnormal or temperature abnormal warning template to carry out abnormal warning information synthesis processing to obtain corresponding first voltage abnormal warning information, first current abnormal warning information or first temperature abnormal warning information; and all the obtained abnormal warning information form a corresponding first battery abnormal report and display the report.

The energy management system in the second embodiment of the invention regularly inspects whether the voltage, current and temperature of each energy storage battery in the energy storage system are abnormal, and generates a corresponding battery abnormality report for each energy storage battery with abnormal voltage, current or temperature.

Fig. 4 is a block diagram of a processing device for monitoring an energy storage system according to a third embodiment of the present invention, where the device is a device capable of implementing a processing method for monitoring an energy storage system according to the first embodiment of the present invention. As shown in fig. 4, the apparatus includes: a first acquisition module 201, a first estimation module 202 and a first recording module 203.

The first obtaining module 201 is configured to obtain, at time t, real-time current, voltage and temperature of each energy storage battery in the energy storage system as corresponding first measurement current I _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last time t-1 as a corresponding first SOC _j,t-1 (ii) a The index j of the energy storage battery is more than or equal to 1.

The first estimation module 202 is configured to estimate a first measured current I _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t-1 Estimating the battery state of charge of the energy storage battery corresponding to the energy storage battery index j at the current time t to generate a corresponding first SOC _j,t 。

The first recording module 203 is used for measuring the current I by the first measuring current _j,t A first measurement voltage U _j,t First measured temperature W _j,t And a first SOC _j,t Forming corresponding first battery monitoring recordsA first battery monitoring record list.

The processing device for monitoring an energy storage system provided by the third embodiment of the present invention is used for executing the steps of the method provided by the first embodiment of the present invention, and the implementation principle and the technical effect are similar, which are not described herein again.

Fig. 5 is a block diagram of a processing apparatus for monitoring an energy storage system according to a fourth embodiment of the present invention, where the apparatus is an apparatus capable of implementing a processing method for monitoring an energy storage system according to a second embodiment of the present invention. As shown in fig. 5, the apparatus includes: a first monitoring module 301 and a second monitoring module 302.

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

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

The processing device for monitoring an energy storage system provided in the fourth embodiment of the present invention is used to execute the steps of the method provided in the second embodiment of the present invention, and the implementation principle and the technical effect are similar, which are not described herein again.

It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the obtaining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the obtaining module. The other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the method provided by the embodiment of the present invention or each module of the apparatus provided by the embodiment of the present invention may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.

For example, the modules of the apparatus provided by the embodiment of the present invention may be one or more integrated circuits configured to perform the method provided by the embodiment of the present invention, 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 module of the apparatus provided by the embodiment of the present invention is implemented in the form of a Processing element scheduling program code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling the program code. For another example, the modules of the apparatus provided by the embodiment of the present invention may be integrated together and implemented in the form of a System-on-a-chip (SOC).

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause, in whole or in part, the processes or functions described in the methods provided by embodiments of the invention. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.) means.

Fig. 6 is a block diagram of a processing system for monitoring an energy storage system according to a fifth embodiment of the present invention, and as shown in fig. 6, the system according to the fifth embodiment of the present invention may specifically include: a first device 401 and a second device 402; the first device 401 is a processing device for monitoring the energy storage system as shown in fig. 4, and the second device 402 is a processing device for monitoring the energy storage system as shown in fig. 5.

Fig. 7 is a block diagram of a processing unit for monitoring an energy storage system according to a sixth embodiment of the present invention. The component is an electronic component, an electronic device or a server for implementing the method provided by the first embodiment of the invention or the second embodiment of the invention. As shown in fig. 7, the component may include: a processor 601 (e.g., CPU) and memory 602; the memory 602 stores instructions executable by the at least one processor 601, the instructions being executable by the at least one processor 601 to enable the at least one processor 601 to perform the method as provided in the first embodiment of the invention or the second embodiment of the invention. Preferably, the components related to the sixth embodiment of the present invention may further include: a transceiver 603, a power supply 604, a system bus 605, and a communication port 606. A transceiver 603 is coupled to the processor 601, a system bus 605 is used to implement the communication connections between the elements, and the communication ports 606 are used for connection communication between the components and other peripherals.

The system bus mentioned in fig. 7 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.

The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.

The embodiment of the invention provides a processing method, a device, a system and a component for monitoring an energy storage system, which are used for tracking the current, the voltage and the temperature of each energy storage battery in the energy storage system in real time, estimating the state of charge according to the acquired real-time current, voltage and temperature, and tracking and recording the real-time current, voltage, temperature and state of charge of each energy storage battery through a battery monitoring and recording list; and periodically analyzing the capacity of the energy storage system and checking the safety of the energy storage battery based on the battery monitoring record list. The invention can track and refresh the whole capacity of the energy storage system, track, analyze and safely check the real-time state (such as current, voltage, temperature, battery charge state and the like) of each energy storage battery in the system, refine the monitoring granularity of the energy storage system and improve the management precision of the energy storage system.

Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. A process for monitoring an energy storage system, the process comprising:

acquiring real-time current, voltage and temperature of each energy storage battery in the energy storage system at time t as corresponding first measurement current I _j,t A first measurement voltage U _j,t And a first measured temperature W _j,t (ii) a And acquiring the battery charge state of each energy storage battery at the last moment t-1 as a corresponding first SOC _j,t-1 (ii) a The index j of the energy storage battery is more than or equal to 1;

From the first measuring current I _j,t Station, stationThe first measurement voltage U _j,t The first measured temperature W _j,t And the first SOC _j,t And forming corresponding first battery monitoring records and storing the corresponding first battery monitoring records into a corresponding first battery monitoring record list.

2. Process for monitoring an energy storage system according to claim 1, characterized in that said process is carried out as a function of said first measured current I _j,t The first measurement voltage U _j,t 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 energy storage battery index j at the current moment t to generate a corresponding first SOC _j,t The method specifically comprises the following steps:

according to the first SOC _j,t-1 And a first measuring current I at a preceding time t-1 _j,t-1 Estimating the battery state of charge at the current moment t to generate a corresponding first estimation

Based on the first estimate

The first measured temperature W _j,t The first measurement current I _j,t Performing model voltage estimation on the battery voltage at the current moment t by using a preset battery equivalent circuit model to generate a corresponding first estimated voltage->

According to the first estimated voltage

And the first measurement voltage U _j,t Performing a voltage error estimation to generate a corresponding first voltage error DeltaU _j,t ；

According to the first voltage error DeltaU _j,t For the first forecast

Performing battery state of charge correction processing to generate the corresponding first SOC _j,t 。

3. The process for monitoring an energy storage system of claim 2, wherein said determining is based on said first SOC _j,t-1 And a first measuring current I at a preceding time t-1 _j,t-1 Estimating the battery state of charge at the current moment t to generate a corresponding first estimation

The method specifically comprises the following steps:

the first SOC _j,t-1 And the first measuring current I _j,t-1 Substituting the estimated equation of the ampere-hour integral method for calculation to generate the corresponding first estimation

The estimation equation of the ampere-hour integral method is as follows:

4. The process for monitoring an energy storage system of claim 2,

the battery equivalent circuit model is a first-order RC model; the first-order RC model comprises an open-circuit voltage OCV and an ohmic internal resistance R ¹ Internal polarization resistance R ² And a polarization capacitance C; the positive pole of the open-circuit voltage OCV and the ohmic internal resistance R ¹ Is connected with one end of the connecting rod; the ohmic internal resistance R ¹ And the other end of (A) andthe polarization internal resistance R of the unit ² The polarization capacitor C is connected with one end of the polarization capacitor C; the polarization internal resistances R connected in parallel ² And the other end of the polarization capacitor C is taken as a first end; the polarization internal resistances R connected in parallel ² The voltage between the two ends of the polarization capacitor C is recorded as a first voltage U ¹ (ii) a The voltage between the first end and the negative electrode of the open-circuit voltage OCV is recorded as a second voltage U ^* 。

5. The process of monitoring an energy storage system of claim 4,

the equivalent equation set of the battery equivalent circuit model is as follows:

at is the time interval from time t-1 to t,

the ohmic internal resistance R for the corresponding energy storage cell at time t ¹ ，

The polarization internal resistance R of the corresponding energy storage cell at time t-1 ² ，

The first voltage U of the corresponding energy storage battery at the time t-1 and t ¹ ，

I _j,t-1 、I _j,t And correspondingly measuring the first measuring current I of the energy storage battery at the time t-1 and t.

6. The process for monitoring an energy storage system of claim 5, wherein said process is based on said first estimate

The method specifically comprises the following steps:

And a first temperature field satisfies the first measured temperature W _j,t The first battery parameter record is recorded as a corresponding matching record; and extracting a first OCV field, a first ohmic internal resistance field, a first polarization internal resistance field and a first polarization capacitance field of the matching record as corresponding first OCV _j,t First ohmic internal resistance

First polarization internal resistance->

And a first polarization capacitor C _j,t (ii) a The battery parameter list packetIncluding a plurality of said first battery parameter records; the first battery parameter record comprises 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 comprises a state of charge range; the first temperature field comprises a temperature range;

according to the first polarization internal resistance

And said first polarization capacitor C _j,t Calculating to generate a corresponding first time constant tau _j,t ，/>

The first voltage at the previous time t-1

A first measuring current I _j,t-1 The first polarization internal resistance->

And combining said second voltage +>

As a corresponding said first estimated voltage/>

And (6) outputting. />

7. The process for monitoring an energy storage system of claim 2, wherein said process is based on said first estimated voltage

the first estimated voltage is compared with

8. Process for monitoring an energy storage system according to claim 5, characterized in that said function of said first voltage error Δ U _j,t For the first estimation

taking the battery charge state SOC of the energy storage battery as a state quantity X and taking the measurement voltage U of the energy storage battery _j,t For the observed quantity Y, establishing a state-observation equation set of the extended Kalman filter by referring to an equivalent equation set of the battery equivalent circuit model and an estimation equation of an ampere-hour integral method, wherein the state-observation equation set comprises the following steps:

Using the first estimate

As a one-step prediction state quantity X of the extended Kalman filter _t-1|t Error Δ U of the first voltage _j,t As an observation error amount Δ Y of the extended kalman filter _t And predicting the state quantity X by the one step _t-1|t The first gain K _t And the amount of the observation error Δ Y _t Substituting the state quantity correction formula of the extended Kalman filter for calculation to generate the corresponding first SOC _j,t ，

The first SOC _j,t Comprises the following steps:

9. the process of monitoring an energy storage system according to claim 1,

the first battery monitoring record list comprises a plurality of first battery monitoring records; 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.

10. According to the rightThe process for monitoring an energy storage system of claim 9, wherein said first measured current I is measured by said first measuring current I _j,t The first measurement voltage U _j,t The first measured temperature W _j,t And the first SOC _j,t Form the first battery monitoring record that corresponds and deposit the first battery monitoring record list that corresponds in, specifically include:

taking the energy storage battery index j as the corresponding first monitoring battery index field, taking the current moment t as the corresponding first monitoring time field, and taking the first measurement current I _j,t As the corresponding first monitoring battery current field, and applying the first measured voltage U _j,t As a corresponding said first monitored battery voltage field and comparing said first measured temperature W _j,t As the corresponding first monitored battery temperature field, and comparing the first SOC _j,t As a corresponding first monitoring battery state of charge field; the obtained 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 form a corresponding first battery monitoring record; and adding the obtained first battery monitoring record to the first battery monitoring record list corresponding to the energy storage battery index j.

11. A process for monitoring an energy storage system, the process comprising:

12. The process of monitoring an energy storage system according to claim 11,

each energy storage battery in the energy storage system corresponds to one first battery monitoring record list;

13. The processing method for monitoring the energy storage system according to claim 12, wherein the periodically performing the capacity analysis on the energy storage system according to all the first battery monitoring record lists specifically includes:

14. The processing method for monitoring the energy storage system according to claim 12, wherein the periodically performing safety troubleshooting on the energy storage battery according to each first battery monitoring record list specifically includes:

performing full-list traversal on all the first battery monitoring record lists at preset second time intervals; during traversal, taking the first battery monitoring record list traversed currently 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 second index; extracting a specified number of first battery monitoring records which are closest to the current time in the current battery monitoring record list to form a corresponding first checking record set; carrying out average calculation on all the first monitoring battery voltage fields in the first examination record set to generate corresponding first average voltage, carrying out average calculation on all the first monitoring battery current fields in the first examination record set to generate corresponding first average current, and carrying out average calculation on all the first monitoring battery temperature fields in the first examination record set to generate corresponding first average temperature; when the first average voltage exceeds a preset safe voltage range, setting a corresponding first voltage abnormal zone bit as a preset activation mark; when the first average current exceeds a preset safe current range, setting a corresponding first current abnormal flag bit as the activation flag; when the first average temperature exceeds a preset safe temperature range, setting a corresponding first temperature abnormal zone bit as the activation mark; when the first voltage abnormal zone bit, the first current abnormal zone bit or the first temperature abnormal zone bit is the activation mark, substituting the second index into a preset voltage abnormal, current abnormal or temperature abnormal warning template to perform abnormal warning information synthesis processing to obtain corresponding first voltage abnormal warning information, first current abnormal warning information or first temperature abnormal warning information; and all the obtained abnormal warning information form a corresponding first battery abnormal report and display the report.

15. An apparatus for implementing the method of monitoring an energy storage system according to any one of claims 1 to 10, the apparatus comprising: the device comprises a first acquisition module, a first estimation module and a first recording module;

16. An apparatus for implementing the method of any one of claims 11-14, wherein the apparatus comprises: a first monitoring module and a second monitoring module;

the second monitoring module is used for regularly carrying out safety investigation on the energy storage battery according to each first battery monitoring record list.

17. A processing system for monitoring an energy storage system, the system comprising the apparatus of claim 15 and the apparatus of claim 16.

18. A processing component for monitoring an energy storage system, the component comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of monitoring an energy storage system of any one of claims 1-10 or the method of monitoring an energy storage system of any one of claims 11-14.