CN116008812A - Method and device for accelerating parameter identification of energy storage power station - Google Patents

Method and device for accelerating parameter identification of energy storage power station Download PDF

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CN116008812A
CN116008812A CN202310051800.5A CN202310051800A CN116008812A CN 116008812 A CN116008812 A CN 116008812A CN 202310051800 A CN202310051800 A CN 202310051800A CN 116008812 A CN116008812 A CN 116008812A
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battery
representative
batteries
working condition
electrochemical
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CN116008812B (en
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魏琼
顾单飞
李倩
韦良长
江铭臣
陈思元
严晓
赵恩海
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Shanghai MS Energy Storage Technology Co Ltd
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Abstract

The invention discloses a method and a device for accelerating the parameter identification of an energy storage power station, wherein the method comprises the following steps: collecting control working condition sequences and actual working condition sequences of a plurality of batteries; selecting any one of the batteries, and calculating a first battery difference value of the any one battery and the rest batteries of the batteries according to the actual working condition sequences of the batteries; dividing a plurality of batteries into battery packs according to the first battery difference value; selecting a representative battery of each battery pack, and selecting a reference battery from the representative batteries; substituting the control working condition sequences of the reference battery and the representative battery into an electrochemical solver to obtain final electrochemical parameters of the reference battery and the representative battery. According to the method, the representative batteries and the reference batteries are screened out after the batteries in the power station are grouped, the electrochemical parameters of the representative batteries are rapidly solved by using the electrochemical parameters of the reference batteries, so that the electrochemical parameters of each battery in the power station are obtained, and the problems that the calculated amount is large and the solving speed is low when the electrochemical parameters of the batteries are solved one by one are avoided.

Description

Method and device for accelerating parameter identification of energy storage power station
Technical Field
The invention relates to the field of battery parameter identification, in particular to a method for accelerating the parameter identification of an energy storage power station.
Background
The electrochemical parameter acquisition mode is time-consuming and complicated, a plurality of experimental means are destructive to the lithium battery, and the electrochemical parameter is identified by a non-destructive experimental means according to the current voltage temperature response time sequence data of the battery, so that the electrochemical parameter is obtained on the basis of an electrochemical model. After the electrochemical parameters are obtained, the electrochemical parameters represent the internal material state of the lithium battery, namely represent the health degree of each part of the lithium battery; in addition, electrochemical parameters are obtained regularly, an electrochemical solver arranged at the edge end or the cloud end can be helped, the future voltage and temperature state of the lithium battery can be simulated and predicted in real time, and early warning is carried out on a possible battery problem. But in energy storage power stations there are typically tens of thousands to hundreds of thousands of batteries, for example: the medium and small energy storage power station has 12 battery cabins, 7 clusters per cabin, 26 modules per cluster and 24 single units per module, and currently, the parameter identification of one battery takes about 8 hours. The calculation amount of parameter identification for all the battery parameters is so large that even if the identification is completed, the battery is aged, so that the simulation of the electrochemical model is distorted.
Disclosure of Invention
The invention provides a method and a device for accelerating the parameter identification of an energy storage power station, aiming at solving the technical problems of long time consumption and model distortion in the process of carrying out the electrochemical parameter solving and identification of all batteries due to huge quantity of batteries in the energy storage power station.
Specifically, the technical scheme of the invention is as follows:
in a first aspect, the present invention provides a method for accelerating parameter identification of an energy storage power station, including:
collecting control working condition sequences and actual working condition sequences of a plurality of batteries in an energy storage power station;
selecting any one of the batteries, and calculating a first battery difference value between the any one battery and the rest batteries of the batteries according to the actual working condition sequences of the batteries;
dividing the plurality of batteries into different battery packs according to the first battery difference value;
selecting a representative battery of each of the battery packs from the plurality of batteries, and selecting a reference battery from the plurality of representative batteries;
substituting the control working condition sequence of the reference battery into an electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery;
and replacing the reference battery in the previous step with the representative battery, substituting the control working condition sequences of a plurality of the representative batteries into the electrochemical solver, taking the final electrochemical parameter of the reference battery as the initial value of the electrochemical parameter of the representative battery, and carrying out loop iteration to obtain the final electrochemical parameter of the representative battery.
According to the implementation method, the batteries in the power station are grouped according to the first battery difference value, then representative batteries of each group are screened out, the reference battery is selected from the representative batteries, the electrochemical parameters of the representative batteries are quickly obtained by utilizing the electrochemical parameters of the reference battery, and then the electrochemical parameters of each battery in the power station are obtained, so that the problem that the solving speed is low when the electrochemical parameters of the batteries in the power station are solved one by one is avoided.
In some embodiments of the method of acceleration of energy storage power station parameter identification,
the first battery difference value is determined by a first battery loss function
Figure BDA0004058404970000021
Calculated, where MSE 1 Is the first battery difference value, n is the number of sampling time points, i is a positive integer, u 1,i Is the value of the actual working condition sequence of any battery at the ith sampling time point, u 2,i The value of the actual battery working condition sequence of one battery in the rest batteries at the ith sampling time point; the actual working condition sequence is a voltage time sequence or a temperature time sequence or a power time sequence.
The present embodiment exemplifies a method of calculating a battery difference value using a loss function, and other loss functions may be used for calculation.
In some embodiments of the method of acceleration of energy storage power station parameter identification,
the representative battery is a battery corresponding to the median of the first battery difference values in the same battery pack;
the reference battery is the representative battery in the battery pack having the largest number of batteries.
This embodiment further explains the selection method of the representative cell and the reference cell, which enables the electrochemical parameter of the representative cell to better represent the electrochemical parameters of other cells in the same group, and enables the electrochemical parameter of the representative cell to be iterated more quickly through the electrochemical parameters of the reference cell.
In some embodiments of the method for accelerating the parameter identification of the energy storage power station, the dividing the plurality of batteries into different battery groups according to the first battery difference value includes:
dividing the batteries with the first battery difference value not exceeding a first preset value into a first battery group;
generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest batteries into at least one rest battery pack; the preset grouping rule includes: the fluctuation amplitude of each residual battery pack is smaller than the first preset value;
recording the number of the at least one remaining battery packs of the number of first grouping schemes;
and taking the first grouping scheme with the least number of the at least one residual battery packs as a second grouping scheme, and dividing the plurality of batteries into different battery packs according to the second grouping scheme.
The embodiment provides a method for grouping batteries, so that the fluctuation amplitude of the batteries in each battery pack does not exceed a first preset value and the number of the battery packs is as small as possible.
In some embodiments of the method for accelerating the parameter identification of the energy storage power station, after the dividing the plurality of batteries into different battery groups according to the first battery difference value, the method further includes:
calculating a second battery difference value between the reference battery and each of the representative batteries, respectively, using a second battery loss function;
when the second battery difference value is larger than a preset battery difference value threshold, the representative battery is used as a first representative battery;
and when the second battery difference value is smaller than the preset battery difference value threshold value, the representative battery is used as a second representative battery.
In the embodiment, the representative battery is classified according to the difference between the actual working condition values of the reference battery and the representative battery.
In some embodiments of the method for accelerating the identification of parameters of an energy storage power station, substituting the control working condition sequences of the plurality of representative batteries into the electrochemical solver, taking the final electrochemical parameters of the reference battery as initial values of the electrochemical parameters of the representative batteries, and performing loop iteration to obtain the final electrochemical parameters of the representative batteries, wherein the method comprises the following steps:
substituting the control working condition sequence of the first representative battery and the control working condition sequence of the second representative battery into the electrochemical solver respectively;
performing cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times;
and carrying out loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
The first representative battery output final electrochemical parameter in this embodiment, which represents a large difference between the battery difference value and the reference battery difference value, needs to satisfy two conditions: the working condition difference value is smaller than a second preset value, and the number of loop iteration times is larger than a preset secondary array; the second representative cell output final electrochemical parameter, which has a smaller difference between the representative cell difference value and the reference cell difference value, only needs to satisfy one condition: the working condition difference value is smaller than a second preset value.
In a second aspect, the present invention provides a device for accelerating parameter identification of an energy storage power station, including:
the acquisition unit is used for acquiring control working condition sequences and actual working condition sequences of a plurality of batteries in the energy storage power station, sending the actual working condition sequences to the calculation unit and sending the control working condition sequences to the electrochemical solving unit;
the calculating unit is connected with the collecting unit and used for selecting any one of the batteries, calculating a first battery difference value between the any one battery and the rest batteries of the batteries according to the actual working condition sequence of the batteries, and sending the first battery difference value to the grouping selecting unit;
the grouping selection unit is connected with the calculation unit and is used for selecting a representative battery of each battery pack from the plurality of batteries after dividing the plurality of batteries into different battery packs according to the first battery difference value, selecting a reference battery from the plurality of representative batteries and sending an actual working condition sequence of the reference battery and an actual working condition sequence of the representative battery to the electrochemical solving unit; wherein the representative battery is a battery corresponding to a median of the first battery difference values in the same battery pack, and the reference battery is the representative battery in the battery pack with the largest battery number;
the electrochemical solving unit is connected with the collecting unit and the grouping selecting unit and is used for substituting the control working condition sequence of the reference battery into an electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery;
the electrochemical solving unit is further configured to substitute the control working condition sequences of the representative batteries into the electrochemical solver, take the final electrochemical parameter of the reference battery as an initial value of the electrochemical parameter of the representative battery, and obtain the final electrochemical parameter of the representative battery through loop iteration by analyzing a working condition difference value between the simulated working condition sequence of the representative battery and the actual working condition sequence of the representative battery.
In some embodiments of the energy storage power station parameter identification acceleration apparatus,
the grouping selection unit is further used for grouping the batteries with the first battery difference value not exceeding a first preset value into a first battery group; generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest batteries into at least one rest battery pack; the preset grouping rule includes: the fluctuation amplitude of each residual battery pack is smaller than the first preset value;
the grouping selection unit further comprises a counting subunit for recording the number of the at least one remaining battery packs of the number of first grouping schemes;
the grouping selection unit is further configured to take the first grouping scheme with the least number of the at least one remaining battery packs as a second grouping scheme, and divide the plurality of batteries into different battery packs according to the second grouping scheme.
In some embodiments of the energy storage power station parameter identification acceleration apparatus, further comprising:
the calculating unit is further used for calculating a second battery difference value between the reference battery and each representative battery by using a second battery loss function; when the second battery difference value is larger than a preset battery difference value threshold, the representative battery is used as a first representative battery; and when the second battery difference value is smaller than the preset battery difference value threshold value, the representative battery is used as a second representative battery.
In some embodiments of the energy storage power station parameter identification acceleration apparatus,
the electrochemical solving unit is further configured to respectively substitute the control condition sequence of the first representative battery and the control condition sequence of the second representative battery into the electrochemical solver; performing cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times; and carrying out loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
Compared with the prior art, the invention has at least one of the following beneficial effects:
1. according to the invention, the batteries in the power station are grouped according to the first battery difference value, then the representative batteries of each group are selected, the reference battery is selected from the representative batteries, and the electrochemical parameters of the representative batteries are rapidly obtained by utilizing the electrochemical parameters of the reference battery, so that the electrochemical parameters of each battery in the power station are obtained, and the problem that the solving speed is slow when the electrochemical parameters of the batteries in the power station are solved one by one is avoided.
2. According to the invention, the calculation of the first battery difference value, the second battery difference value and the working condition difference value is completed through the loss function.
3. The invention provides a method for grouping batteries, which ensures that the fluctuation amplitude of the actual working condition sequence of the batteries in each battery pack does not exceed a first preset value and the quantity of the battery packs is as small as possible.
4. The invention reclassifies the representative battery according to the second battery difference value between the representative battery and the reference battery, and substitutes the control working condition sequence of the representative battery after classification into the electrochemical solver respectively, wherein the actual working condition value of the second representative battery is close to the actual working condition value of the reference battery, and the input value of the representative battery of the electrochemical solver is close to the input value of the reference battery, so that the electrochemical parameter of the reference battery is taken as an initial value, and the final electrochemical parameter of the representative battery output by the electrochemical solver only needs to satisfy one condition: the working condition difference value is smaller than a second preset value, the condition is not required to be additionally met, the accuracy of the electrochemical parameters is ensured, and meanwhile, the time for identifying the electrochemical parameters by the battery is saved.
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The above features, technical features, advantages and implementation of the present invention will be further described in the following description of preferred embodiments with reference to the accompanying drawings in a clear and easily understood manner.
FIG. 1 is a flow chart of one embodiment of a method of energy storage plant parameter identification acceleration of the present invention;
FIG. 2 is a flow chart of one embodiment of a method of energy storage plant parameter identification acceleration of the present invention;
FIG. 3 is a flow chart of one embodiment of a method of energy storage plant parameter identification acceleration of the present invention;
FIG. 4 is a flow chart of one embodiment of a method of energy storage plant parameter identification acceleration of the present invention;
FIG. 5 is a system block diagram of one embodiment of an apparatus for acceleration of energy storage plant parameter identification in accordance with the present invention.
Reference numerals illustrate: 10- -an acquisition unit; 20- -a calculation unit; 30- -a packet selection unit; 31- -a counting subunit; 40- -electrochemical solving unit.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will explain the specific embodiments of the present invention with reference to the accompanying drawings. It is evident that the drawings in the following description are only examples of the invention, from which other drawings and other embodiments can be obtained by a person skilled in the art without inventive effort.
For simplicity of the drawing, only the parts relevant to the invention are schematically shown in each drawing, and they do not represent the actual structure thereof as a product. Additionally, in order to simplify the drawing for ease of understanding, components having the same structure or function in some of the drawings are shown schematically with only one of them, or only one of them is labeled. Herein, "a" means not only "only this one" but also "more than one" case.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In this context, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, unless explicitly stated or limited otherwise; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, in the description of the present application, the terms "first," "second," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
In one embodiment, referring to fig. 1 of the specification, the method for accelerating the parameter identification of the energy storage power station provided by the invention includes:
s110, collecting control working condition sequences and actual working condition sequences of a plurality of batteries in the energy storage power station.
Step S110, collecting data of a battery in the energy storage power station; the control working condition sequence obtained by collection is a working condition sequence determined by the type of the battery, and the working condition sequence comprises: voltage time series or temperature time series or power time series, for example: the battery is controlled by current, and the control working condition sequence is a current time sequence, and the acquired actual working condition sequence is any working condition sequence except the control working condition sequence.
S120, selecting any one of the batteries, and calculating a first battery difference value between any one battery and the rest of the batteries according to the actual working condition sequences of the batteries.
Step S120 randomly decimating one of the cells, calculating a first cell difference value between the other cells and the one of the cells, wherein the first cell difference value is determined by a first cell loss function
Figure BDA0004058404970000091
Calculated, wherein MSE1 is the first battery difference value, n is the number of sampling time points, i is a positive integer, u 1,i Is the value of the actual working condition sequence of any battery at the ith sampling time point, u 2,i Is the value of the actual battery operating sequence of one of the remaining batteries at the i-th sampling time point.
S130, dividing a plurality of batteries into different battery packs according to the first battery difference value.
In step S130, the cells with similar first cell difference values are divided into a battery group.
And S140, selecting a representative battery of each battery pack from the plurality of batteries, and selecting a reference battery from the plurality of representative batteries.
In step S140, the representative cell of each battery pack is selected according to the first cell difference value, and the electrochemical parameter of the representative cell may be used as the electrochemical parameter of the same battery pack.
S150, substituting the control working condition sequence of the reference battery into an electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining the final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery.
In step S150, the electrochemical parameter initial value of the reference battery may be the electrochemical parameter of the reference battery from factory, in the process of performing loop iteration on the electrochemical parameter of the reference battery, substituting the control working condition sequence into the electrochemical solver, continuously obtaining a simulated working condition sequence based on the electrochemical parameter after the loop iteration, and obtaining an accurate electrochemical parameter of the reference battery as a final electrochemical parameter by analyzing the working condition difference value between the simulated working condition sequence and the actual working condition sequence and the number of loop iterations, wherein the smaller the working condition difference value is, the closer the electrochemical parameter is to the actual value, that is, the more accurate the electrochemical parameter is;
the working condition difference value is obtained by a working condition loss function
Figure BDA0004058404970000101
Calculated, where MSE 2 Is the difference value of working conditions, n is the number of sampling time points, i is a positive integer, U 1,i Is the value of the simulated working condition sequence of the battery at the ith time point, U 2,i Is the value of the actual battery operating mode sequence of the battery at the ith time point.
And S160, replacing the reference battery in the S150 with a representative battery, substituting the control working condition sequences of the representative batteries into an electrochemical solver, taking the final electrochemical parameter of the reference battery as an initial value of the electrochemical parameter of the representative battery, and carrying out loop iteration to obtain the final electrochemical parameter of the representative battery.
In step S160, the final electrochemical parameter of the reference battery is taken as the initial value of the electrochemical parameter of the representative battery, and the electrochemical parameters of the representative batteries of each battery pack are iterated through the calculation method of S150.
According to the method, electrochemical parameters of the representative batteries are rapidly solved through electrochemical parameters of the reference batteries, the electrochemical parameters of the representative batteries are used as electrochemical parameters of the batteries in the same group as the representative batteries, the electrochemical parameters of each battery in the power station are rapidly obtained, the problem that the batteries are aged even if the electrochemical parameters of each battery are solved due to the fact that the solving speed is low when the electrochemical parameters of the batteries in the power station are solved one by one is avoided, and the electrochemical parameters solved by the batteries are different from the electrochemical parameters of the batteries after aging.
The embodiment provides a method for accelerating the parameter identification of the energy storage power station based on the previous embodiment,
the representative battery is a battery corresponding to the median of the first battery difference value in the same battery pack;
the reference battery is a representative battery in the battery pack having the largest number of batteries.
The embodiment provides a selection method of a representative battery and a reference battery, wherein the selection method of the representative battery enables electrochemical parameters of the representative battery to better represent electrochemical parameters of other batteries in the same group, the selection mode of the reference battery enables value distribution of control working condition sequences or actual working condition sequences of the batteries in a battery group which is in a group with the reference battery to be more uniform, and the electrochemical parameters of the representative battery can be iterated out more easily and rapidly through the electrochemical parameters of the reference battery.
Based on the foregoing embodiments, referring to fig. 2 of the present disclosure, a method for accelerating parameter identification of an energy storage power station is provided, and step S130 includes dividing a plurality of batteries into different battery groups according to a first battery difference value, where the method includes:
s131, dividing the batteries with the first battery difference value not exceeding a first preset value into a first battery pack;
s132, generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest of batteries into at least one rest battery pack; the preset grouping rules comprise: the fluctuation amplitude of each residual battery pack is smaller than a first preset value;
s133, recording the number of the residual battery packs of a plurality of first grouping schemes;
and S134, taking the first grouping scheme with the least number of the residual battery packs as a second grouping scheme, and dividing a plurality of batteries into different battery packs according to the second grouping scheme.
The embodiment provides a battery grouping method, which comprises the steps of firstly grouping batteries with a first battery difference value smaller than a first preset value with any battery into a group; and grouping the rest batteries, wherein the fluctuation amplitude of the first battery difference value of the batteries in each group after grouping is required to be smaller than a first preset value, and the fluctuation amplitude is half of the difference value between the largest first battery difference value and the smallest first battery difference value of the batteries in the same battery group. The grouping mode ensures that the difference value of the first battery difference values of any two batteries in each battery pack is not more than twice of a first preset value, so that the actual working condition sequence difference between the batteries in the same group is limited, and the situation that the electrochemical parameter difference obtained by substituting the actual working condition sequence with the overlarge difference into the electrochemical solver is overlarge is avoided, so that the representative battery cannot be selected to represent the batteries in the same group.
Based on the foregoing embodiments, referring to fig. 3 of the present disclosure, a method for accelerating the parameter identification of an energy storage power station is provided, after dividing a plurality of batteries into different battery packs according to a first battery difference value in step S130, the method further includes:
s210, respectively calculating a second battery difference value between the reference battery and each representative battery by using a second battery loss function;
the second battery difference value is determined by a second battery loss function
Figure BDA0004058404970000121
Calculated, where MSE 3 Is the second battery difference value, n is the number of sampling time points, i is a positive integer, v 1,i Is representative of the actual working condition sequence of the battery at the ith sampling time pointNumerical value v of (v) 2,i The value of the actual battery working condition sequence of the reference battery at the ith sampling time point; the actual working condition sequence is a voltage time sequence or a temperature time sequence or a power time sequence.
S220, when the second battery difference value is larger than a preset battery difference value threshold, the representative battery is used as a first representative battery;
and S230, when the second battery difference value is smaller than the preset battery difference value threshold, the representative battery is used as a second representative battery.
The present embodiment reclassifies the representative battery, and the classification criterion is to determine a second battery difference value between the representative battery difference value and the reference battery difference value.
Based on the foregoing embodiment, referring to fig. 4 of the specification, the embodiment provides a method for accelerating the parameter identification of an energy storage power station, in step S160, a plurality of control working condition sequences representing the battery are substituted into an electrochemical solver, a final electrochemical parameter of a reference battery is used as an initial value of the electrochemical parameter representing the battery, and a loop iteration is performed to obtain the final electrochemical parameter representing the battery, including:
s161, substituting the control working condition sequence of the first representative battery and the control working condition sequence of the second representative battery into an electrochemical solver respectively;
s162, carrying out cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining the final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times;
s163, performing loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
According to the embodiment, the difference between the standard battery difference value and the representative battery difference value of the first representative battery is larger than the second preset value, so that the fact that the actual battery working condition sequence of the first representative battery is discrete relative to the actual battery working condition sequence of the standard battery is obtained, when the actual working condition sequence of the first representative battery is substituted into the electrochemical solver for calculation, the electrochemical parameter needs to meet the preset threshold condition, the number of times of the cyclic iteration needs to meet the preset number of times, and the electrochemical parameter which meets the threshold condition but is inaccurate is avoided.
In one embodiment, referring to fig. 5 of the specification, the device for accelerating parameter identification of an energy storage power station provided by the invention includes:
the acquisition unit 10 is used for acquiring control working condition sequences and actual working condition sequences of a plurality of batteries in the energy storage power station, sending the actual working condition sequences to the calculation unit 20 and sending the control working condition sequences to the electrochemical solving unit;
the calculating unit 20 is connected with the collecting unit 10, and is used for selecting any one of the batteries, calculating a first battery difference value between any one battery and the rest of the batteries according to the actual working condition sequence of the batteries, and sending the first battery difference value to the grouping selecting unit 30;
the grouping selection unit 30 is connected with the calculation unit 20, and is used for selecting a representative battery of each battery group from the plurality of batteries after dividing the plurality of batteries into different battery groups according to the first battery difference value, selecting a reference battery from the plurality of representative batteries, and sending an actual working condition sequence of the reference battery and an actual working condition sequence of the representative battery to the electrochemical solving unit; wherein the representative battery is a battery corresponding to the median of the first battery difference value in the same battery pack, and the reference battery is a representative battery in the battery pack with the largest battery number;
the electrochemical solving unit 40 is connected with the collecting unit 10 and the grouping selecting unit 30, and is used for substituting the control working condition sequence of the reference battery into the electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining the final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery;
the electrochemical solving unit 40 is further configured to substitute the control condition sequences of the representative batteries into the electrochemical solver, take the final electrochemical parameter of the reference battery as an initial value of the electrochemical parameter of the representative battery, and obtain the final electrochemical parameter of the representative battery by analyzing a condition difference value between the simulated condition sequence of the representative battery and the actual condition sequence of the representative battery through loop iteration.
In this embodiment, the electrochemical parameters of the representative cells are rapidly solved in the electrochemical solving unit 40 through the electrochemical parameters of the reference cells, and the electrochemical parameters of each representative cell are used as the electrochemical parameters of the cells in the same group as the representative cells, so that the electrochemical parameters of each cell in the power station are rapidly obtained, and the problem that the electrochemical parameters of each cell are aged even if the electrochemical parameters of each cell are solved due to the slow solving speed when the electrochemical parameters of the cells in the power station are solved one by one is avoided, and the electrochemical parameters of the cells solved by the cells are different from the electrochemical parameters of the cells after aging.
The embodiment provides a device for accelerating the parameter identification of the energy storage power station based on the previous embodiment,
the grouping selection unit 30 is further configured to group the batteries of which the first battery difference value does not exceed the first preset value into a first battery group; generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest batteries into at least one rest battery pack; the preset grouping rule includes: the fluctuation amplitude of each residual battery pack is smaller than the first preset value;
a grouping selection unit 30, further comprising a counting subunit 31, the counting subunit 31 being configured to record the number of the at least one remaining battery packs of the number of first grouping schemes;
the grouping selection unit 30 is further configured to take the first grouping scheme with the least number of the at least one remaining battery packs as a second grouping scheme, and divide the plurality of batteries into different battery packs according to the second grouping scheme.
The embodiment provides that the grouping selection unit 30 performs the grouping function by grouping the batteries having the first battery difference value smaller than the first preset value with any one of the batteries into a group; and grouping the rest batteries, wherein the fluctuation amplitude of the difference value of each group of batteries after grouping is required to be smaller than a first preset value. The grouping mode ensures that the difference value of the battery difference value of any two batteries in each battery pack relative to any battery is not more than twice of a first preset value, so that the actual working condition sequence difference between the batteries in the same group is limited, and the situation that the actual working condition sequence with the overlarge difference is substituted into the electrochemical solver to correspondingly obtain the electrochemical parameter difference is also overlarge, so that the representative battery cannot be selected to represent the batteries in the same group is avoided.
The embodiment provides a device for accelerating the parameter identification of the energy storage power station based on the previous embodiment,
a calculation unit 20 for calculating a second battery difference value between the reference battery and each representative battery, respectively, using the second battery loss function; when the second battery difference value is larger than the preset battery difference value threshold value, the representative battery is used as the first representative battery; and when the second battery difference value is smaller than the preset battery difference value threshold value, the representative battery is taken as a second representative battery.
The embodiment provides a device for accelerating the parameter identification of the energy storage power station based on the previous embodiment,
the electrochemical solving unit 40 is further configured to respectively substitute the control condition sequence of the first representative battery and the control condition sequence of the second representative battery into the electrochemical solver; performing cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining the final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times; and carrying out loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
In this embodiment, the difference between the reference battery difference value and the representative battery difference value of the second representative battery is smaller than a second preset value, so as to obtain that the actual battery working condition sequence of the second representative battery is non-discrete with respect to the actual battery working condition sequence of the reference battery, and the actual working condition value of the second representative battery is close to the actual working condition value of the reference battery. Therefore, when the actual working condition sequence of the second representative battery is substituted into the electrochemical solver to calculate, only the electrochemical parameter is required to meet the preset threshold condition, so that the accuracy of the electrochemical parameter is ensured, and the time for identifying the electrochemical parameter by the battery is saved.
It should be noted that the above embodiments can be freely combined as needed. The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1. The method for accelerating the parameter identification of the energy storage power station is characterized by comprising the following steps of:
collecting control working condition sequences and actual working condition sequences of a plurality of batteries in an energy storage power station;
selecting any one of the batteries, and calculating a first battery difference value between the any one battery and the rest batteries of the batteries according to the actual working condition sequences of the batteries;
dividing the plurality of batteries into different battery packs according to the first battery difference value;
selecting a representative battery of each of the battery packs from the plurality of batteries, and selecting a reference battery from the plurality of representative batteries;
substituting the control working condition sequence of the reference battery into an electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery;
and replacing the reference battery in the previous step with the representative battery, substituting the control working condition sequences of a plurality of the representative batteries into the electrochemical solver, taking the final electrochemical parameter of the reference battery as the initial value of the electrochemical parameter of the representative battery, and carrying out loop iteration to obtain the final electrochemical parameter of the representative battery.
2. The method for accelerating the parameter identification of the energy storage power station according to claim 1, wherein the method comprises the following steps:
the first battery difference value is determined by a first battery loss function
Figure FDA0004058404960000011
Calculated, where MSE 1 Is the first battery difference value, n is the number of sampling time points, i is a positive integer, u 1,i Is the value of the actual working condition sequence of any battery at the ith sampling time point, u 2,i The value of the actual battery working condition sequence of one battery in the rest batteries at the ith sampling time point; the actual working condition sequence is a voltage time sequence or a temperature time sequence or a power time sequence.
3. The method for accelerating the parameter identification of the energy storage power station according to claim 1, wherein the method comprises the following steps:
the representative battery is a battery corresponding to the median of the first battery difference values in the same battery pack;
the reference battery is the representative battery in the battery pack having the largest number of batteries.
4. The method of claim 1, wherein the dividing the plurality of batteries into different battery packs according to the first battery difference value comprises:
dividing the batteries with the first battery difference value not exceeding a first preset value into a first battery group;
generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest batteries into at least one rest battery pack; the preset grouping rule includes: the fluctuation amplitude of each residual battery pack is smaller than the first preset value;
recording the number of the at least one remaining battery packs of the number of first grouping schemes;
and taking the first grouping scheme with the least number of the at least one residual battery packs as a second grouping scheme, and dividing the plurality of batteries into different battery packs according to the second grouping scheme.
5. The method of any one of claims 1-4, further comprising, after said dividing said plurality of cells into different battery packs according to said first cell difference value:
calculating a second battery difference value between the reference battery and each of the representative batteries, respectively, using a second battery loss function;
when the second battery difference value is larger than a preset battery difference value threshold, the representative battery is used as a first representative battery;
and when the second battery difference value is smaller than the preset battery difference value threshold value, the representative battery is used as a second representative battery.
6. The method for accelerating the identification of parameters of an energy storage power station according to claim 5, wherein substituting the control condition sequences of the representative cells into the electrochemical solver, taking the final electrochemical parameters of the reference cells as initial values of the electrochemical parameters of the representative cells, and performing loop iteration to obtain the final electrochemical parameters of the representative cells, wherein the method comprises the steps of:
substituting the control working condition sequence of the first representative battery and the control working condition sequence of the second representative battery into the electrochemical solver respectively;
performing cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times;
and carrying out loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
7. An energy storage power station parameter identification acceleration device is characterized by comprising:
the acquisition unit is used for acquiring control working condition sequences and actual working condition sequences of a plurality of batteries in the energy storage power station, sending the actual working condition sequences to the calculation unit and sending the control working condition sequences to the electrochemical solving unit;
the calculating unit is connected with the collecting unit and used for selecting any one of the batteries, calculating a first battery difference value between the any one battery and the rest batteries of the batteries according to the actual working condition sequence of the batteries, and sending the first battery difference value to the grouping selecting unit;
the grouping selection unit is connected with the calculation unit and is used for selecting a representative battery of each battery pack from the plurality of batteries after dividing the plurality of batteries into different battery packs according to the first battery difference value, selecting a reference battery from the plurality of representative batteries and sending an actual working condition sequence of the reference battery and an actual working condition sequence of the representative battery to the electrochemical solving unit; wherein the representative battery is a battery corresponding to a median of the first battery difference values in the same battery pack, and the reference battery is the representative battery in the battery pack with the largest battery number;
the electrochemical solving unit is connected with the collecting unit and the grouping selecting unit and is used for substituting the control working condition sequence of the reference battery into an electrochemical solver to obtain a simulation working condition sequence of the reference battery, circularly iterating electrochemical parameters of the reference battery according to an artificial intelligent algorithm or a heuristic algorithm, and obtaining final electrochemical parameters of the reference battery by analyzing working condition difference values between the simulation working condition sequence of the reference battery and the actual working condition sequence of the reference battery;
the electrochemical solving unit is further configured to substitute the control working condition sequences of the representative batteries into the electrochemical solver, take the final electrochemical parameter of the reference battery as an initial value of the electrochemical parameter of the representative battery, and obtain the final electrochemical parameter of the representative battery through loop iteration by analyzing a working condition difference value between the simulated working condition sequence of the representative battery and the actual working condition sequence of the representative battery.
8. The device for accelerating the parameter identification of the energy storage power station according to claim 7, wherein,
the grouping selection unit is further used for grouping the batteries with the first battery difference value not exceeding a first preset value into a first battery group; generating a plurality of first grouping schemes according to preset grouping rules, wherein the plurality of first grouping schemes divide the rest batteries into at least one rest battery pack; the preset grouping rule includes: the fluctuation amplitude of each residual battery pack is smaller than the first preset value;
the grouping selection unit further comprises a counting subunit for recording the number of the at least one remaining battery packs of the number of first grouping schemes;
the grouping selection unit is further configured to take the first grouping scheme with the least number of the at least one remaining battery packs as a second grouping scheme, and divide the plurality of batteries into different battery packs according to the second grouping scheme.
9. The device for accelerating the parameter identification of the energy storage power station according to claim 7 or 8, wherein,
the calculating unit is further used for calculating a second battery difference value between the reference battery and each representative battery by using a second battery loss function; when the second battery difference value is larger than a preset battery difference value threshold, the representative battery is used as a first representative battery; and when the second battery difference value is smaller than the preset battery difference value threshold value, the representative battery is used as a second representative battery.
10. The device for accelerating the parameter identification of the energy storage power station according to claim 9, wherein,
the electrochemical solving unit is further configured to respectively substitute the control condition sequence of the first representative battery and the control condition sequence of the second representative battery into the electrochemical solver; performing cyclic iteration on the electrochemical parameters of the first representative battery, and obtaining final electrochemical parameters of the first representative battery when the working condition difference value is smaller than a second preset value and the number of cyclic iteration times is larger than a preset number of times; and carrying out loop iteration on the electrochemical parameters of the second representative battery, and obtaining the final electrochemical parameters of the second representative battery when the working condition difference value is smaller than a second preset value.
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