CN109085507B - Method and system for evaluating health state of energy storage battery - Google Patents

Method and system for evaluating health state of energy storage battery Download PDF

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CN109085507B
CN109085507B CN201810857960.8A CN201810857960A CN109085507B CN 109085507 B CN109085507 B CN 109085507B CN 201810857960 A CN201810857960 A CN 201810857960A CN 109085507 B CN109085507 B CN 109085507B
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dod
soh
equal
soc
energy storage
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CN109085507A (en
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修晓青
郭威
李建林
房凯
谢志佳
靳文涛
李蓓
吕项羽
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Jilin Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Jilin Electric Power Co Ltd
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Abstract

The invention provides a method and a system for evaluating the health condition of an energy storage battery, wherein the method and the system obtain a DOD time sequence through an SOC curve under a complex operation working condition by adopting a derivation method, and circularly solve according to an SOH and cycle frequency curve of an interval in which the DOD sequence is located based on SOH attenuation characteristics in different DOD intervals to obtain the health condition of the energy storage battery after the SOC curve acts under the complex operation working condition. Compared with the prior art, the method and the system are mainly used for prejudging the life cycle of the energy storage based on a qualitative method, and provide a determination method of the DOD sequence and an SOH (state of health) evaluation method under the action of a complex working condition curve under the multi-DOD sequence, thereby being beneficial to improving the accuracy of the evaluation of the health state of the energy storage battery.

Description

Method and system for evaluating health state of energy storage battery
Technical Field
The present invention relates to the field of energy storage technology, and more particularly, to a method and system for evaluating the state of health of an energy storage battery.
Background
The stored energy, as an important component in the power system, can play an important role in large-scale renewable energy power generation, conventional power generation side, transmission and distribution side, power utilization side, auxiliary service and the like. According to the latest statistical data, 2926.6MW is accumulated when electrochemical energy storage power stations are put into operation in the world as late as 2017, wherein the installation proportion of the lithium ion battery energy storage is the largest and is more than 75%, and the lithium ion battery energy storage, the lead storage battery energy storage, the flow battery energy storage and the like are adopted, so that the method is mainly applied to centralized renewable energy grid connection, electric power system auxiliary service, a user side, a power grid side, a power supply side and the like. The service life is one Of key parameters for determining whether the energy storage system can be popularized and applied, and is related to factors such as the technical characteristics Of the energy storage system and a working condition operation curve, the State Of Health (SOH) Of the energy storage battery is usually used as an index for evaluating the service life, and when the State Of Health Of the energy storage battery is lower than a set exit condition, the service life Of the energy storage system is terminated. The state of health of an energy storage battery is defined as the ratio of the remaining available capacity of the battery to the initial dischargeable amount of a new battery at commissioning. In the operating period of the energy storage system, the remaining available capacity of the energy storage system is gradually attenuated, and the main factors influencing the attenuation speed of the battery capacity are the Depth of charge and Discharge (DOD), the cycle number, the ambient temperature in the energy storage power station and the like. The ambient temperature in the energy storage power station is accurately controlled by a temperature control device of the power station in real time, and the influence of the ambient temperature in the energy storage power station on the capacity attenuation of the battery is generally ignored. Therefore, the main factors actually affecting the battery capacity decay rate are the Depth of charge and Discharge (DOD) and the number of cycles, so how to determine the health state of the energy storage battery according to the DOD and the number of cycles of the energy storage battery becomes an urgent problem to be solved.
Disclosure of Invention
In order to solve the technical problem of how to determine the state of health (SOH) of an energy storage battery according to the DOD and the cycle number of the energy storage battery, the invention provides a method for evaluating the state of health (SOH) of the energy storage battery, which comprises the following steps:
step 1, calling data in an energy storage battery test database, and fitting numerical values to form a curve SOH of the relation n between the SOH and the cycle times of the energy storage battery of the charge-discharge depth DOD of the energy storage system in the divided I intervalsi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
and 2, analyzing the time when g ' (t) ═ 0 by taking the time when g ' (t) ═ 0 and g ' (t) ≦ 0 as the starting time for the SOC ═ g (t) line under the energy storage complex operation condition to form a time sequence t (t) ≦ 0j,1≤j≤N;
Step 3, calculating a time sequence t according to the SOC (g) (t) curvejCorresponding SOC sequence SOCj
Step 4, according to the SOC sequence SOCjFormation of DOD sequence DODkWherein j and k are natural numbers, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2]];
Step 5, according to DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
step 6, according to DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1Repeating step 6 when k +1 is equal to k +1, and when k +1 is equal to [ N/2]]If yes, turning to step 7;
step 7, when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
Further, before the numerical fitting is performed to form a curve of the relation n between the state of health (SOH) of the energy storage battery and the cycle number of the energy storage system over the divided I intervals, the method further comprises the following steps:
establishing an energy storage battery test database, wherein the database comprises data of the relation n between the SOH and the cycle times of the energy storage battery when the DODs are different;
dividing the value of the DOD into I intervals, wherein in the ith DOD interval, the value range of the DODi is (I-1/I, I/I), I is a natural number, and I is more than or equal to 1 and less than or equal to I.
Further, the said for the ith DOD interval, SOHiDOD extractioniFitting a curve to the test data for the first setting is to determine the SOH for the ith DOD intervaliDOD extractioniA curve was fit to the test data for (I-0.5)/I and is noted as:
Figure BDA0001749017090000031
further, the SOC is sequenced according to the SOCjFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
Further, the accuracy of the SOH of the energy storage battery estimated by the method is related to the number of the DOD-divided intervals, and the larger the I is, the more the intervals are, and the higher the accuracy of the estimation result of the SOH of the energy storage battery is.
According to another aspect of the invention, there is provided a system for assessing the state of health of an energy storage battery, the system comprising:
the SOH curve determining unit is used for calling data in the energy storage battery test database, and numerically fitting to form a curve SOH of the relation n between the SOH and the cycle times of the energy storage battery in the I divided intervals of the charge-discharge depth DOD of the energy storage systemi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
and the time sequence determining unit is used for analyzing the time when g '(t) ≦ 0 by taking the time when g' (t) ≦ 0 as a starting time for the SOC ≦ g (t) line under the energy storage complex operation condition to form a time sequence t ≦ 0j,1≤j≤N;
An SOC sequence determination unit for calculating a time sequence t from an SOC-g (t) curvejCorresponding SOC sequence SOCj
A DOD sequence determination unit for determining the SOC according to the SOC sequencejFormation of DOD sequence DODkWherein j and k are natural numbers, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2]];
An initial SOH determination unit for determining the initial SOH according to the DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
SOH cycle calculation unit for calculating the SOH cycle based on DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1When k +1 is equal to k +1, the SOH loop calculation unit performs loop calculation, and when k +1 is equal to [ N/2]]When the operation is finished, the operation goes to an SOH determination unit;
an SOH determination unit for determining when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
Further, the system further comprises:
the system comprises a database unit, a cycle number unit and a control unit, wherein the database unit is used for establishing an energy storage battery test database, and the database comprises data of the relation n between the state of health (SOH) and the cycle number of the energy storage battery when the DODs are different;
and the DOD interval dividing unit is used for dividing the value of the DOD into I intervals, wherein in the ith DOD interval, the DODi value range is (I-1/I, I/I), I is a natural number, and I is more than or equal to 1 and less than or equal to I.
Further, in the SOH curve determining unit, SOHiDOD extractioniA curve was fitted to the generated test data for (I-0.5)/I and is recorded as:
Figure BDA0001749017090000041
further, the DOD sequence determination unit determines the SOC according to the SOC sequencejFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
Further, the larger the I set by the DOD interval dividing unit is, the more intervals are, and the higher the accuracy of the evaluation result of the system for evaluating the SOH of the energy storage battery is.
According to the method and the system for evaluating the health condition of the energy storage battery, provided by the technical scheme of the invention, the DOD time sequence is obtained by adopting a derivation method through an SOC curve under a complex operation working condition, and the health condition of the energy storage battery after the SOC curve acts under the complex operation working condition is obtained by circularly solving according to the SOH and cycle frequency curves of the intervals where the DOD sequence is located based on the SOH attenuation characteristics in different DOD intervals. The method and the system start from the technical characteristics of the energy storage system and the capacity attenuation characteristics of the energy storage battery, and according to the relation between the SOH and the cycle times of the energy storage battery under different charge-discharge depths DOD, the DOD sequence under the complex operation working condition of the energy storage battery is determined by adopting a derivation method, so that the residual available capacity after the action of the working condition curve of the energy storage battery is evaluated, the life cycle under the action of the complex operation working condition curve of the energy storage battery is calculated quantitatively, and a foundation is provided for the research of the capacity configuration and the full life cycle economic evaluation problem of the energy storage system. In the prior art, the energy storage life cycle is pre-judged based on a qualitative method, the invention provides a DOD sequence determination method and an SOH (state of health) evaluation method under the action of a complex working condition curve under a plurality of DOD sequences, and the method is favorable for improving the accuracy of the evaluation of the health state of the energy storage battery.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a method of assessing the state of health of an energy storage battery in accordance with a preferred embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for evaluating the state of health of an energy storage battery according to a preferred embodiment of the invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flow chart of a method of assessing the state of health of an energy storage battery according to a preferred embodiment of the invention. As shown in fig. 1, the method for evaluating the state of health of the energy storage battery according to the preferred embodiment starts with step 101.
In step 101, establishing an energy storage battery test database, wherein the database comprises data of the relation n between the state of health (SOH) of the energy storage battery and the cycle times when the DODs are different;
at step 102, the value of DOD is divided into I intervals, wherein in the ith DOD interval, the DODiHas a value range of (I-1/I, I/I)]I is a natural number, I is more than or equal to 1 and less than or equal to I.
In step 103, calling data in the energy storage battery test database, and fitting numerical values to form a curve SOH of the relation n between the SOH and the cycle times of the energy storage battery of the energy storage system charge-discharge depth DOD in the divided I intervalsi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
in step 104, for the SOC-g (t) line under the energy storage complex operation condition, the time when g '(t) is 0 and g ″ (t) is less than or equal to 0 is analyzed as the starting time, and a time sequence t is formed by analyzing the time when g' (t) is 0j,1≤j≤N;
In step 105, a time series t is calculated from the SOC-g (t) curvejCorresponding SOC sequence SOCj
In step 106, SOC is sequenced according to the SOC sequencejFormation of DOD sequence DODkWherein j and k are natural numbers, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2]];
In step 107, according to DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
at step 108, according to DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1Step 108 is repeated when k +1 is equal to k +1, and when k +1 is equal to [ N/2]]If yes, go to step 109;
in step 109, when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
Preferably, the test data fitting curve of SOHi with DODi as the first setting value for the ith DOD interval refers to SOH for the ith DOD intervaliDOD extractioniA curve was fit to the test data for (I-0.5)/I and is noted as:
Figure BDA0001749017090000061
preferably, the SOC is according to the SOC sequencejFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
Preferably, the accuracy of the SOH of the energy storage battery estimated by the method is related to the number of DOD-divided intervals, and the larger the I is, the more the intervals are, and the higher the accuracy of the estimation result of the SOH of the energy storage battery is.
Fig. 2 is a schematic structural diagram of a system for evaluating the state of health of an energy storage battery according to a preferred embodiment of the invention. As shown in fig. 2, the system 200 for evaluating the state of health of an energy storage battery according to the preferred embodiment includes:
the database unit 201 is used for establishing an energy storage battery test database, and the database comprises data of the relation n between the state of health (SOH) of the energy storage battery and the cycle times when the DODs are different;
a DOD interval dividing unit 202 for dividing the value of DOD into I intervals, wherein in the ith DOD interval, DODiHas a value range of (I-1/I, I/I)]I is a natural number, I is more than or equal to 1 and less than or equal to I.
The SOH curve determining unit 203 is configured to call data in the energy storage battery test database, and perform numerical fitting to form a curve SOH of the relationship n between the state of health SOH and the cycle number of the energy storage battery of the energy storage system charge-discharge depth DOD in the divided I intervalsi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
a time sequence determining unit 204, configured to analyze a time when g '(t) ≦ 0 with a time when g' (t) ≦ 0 and g ≦ 0 as a starting time for an SOC (g) ≦ t (t) line under the energy storage complex operation condition, and form a time sequence t ≦ 0j,1≤j≤N;
An SOC-sequence determining unit 205 for calculating a time sequence t from the SOC-g (t) curvejCorresponding SOC sequence SOCj
A DOD sequence determination unit 206 for determining the SOC according to the SOC sequencejFormation of DOD sequence DODkWherein j and k are natural numbers, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2]];
An initial SOH determination unit 207 for determining a DOD according to the DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
an SOH cycle calculation unit 208 for calculating the SOH cycle based on the DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1When k +1 is equal to k +1, the SOH loop calculation unit 208 performs loop calculation, and when k +1 is equal to [ N/2]]Then go to SOH determination unit 209;
an SOH determination unit 209 for determining when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
Preferably, in the SOH curve determining unit 203, SOHiDOD extractioniA curve was fitted to the generated test data for (I-0.5)/I and is recorded as:
Figure BDA0001749017090000081
preferably, the DOD sequence determination unit 206 determines the SOC according to the SOC sequence SOCjFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
Preferably, the larger the I set by the DOD interval dividing unit 202, the more intervals, the higher the accuracy of the estimation result of the system for estimating the SOH of the energy storage battery.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.

Claims (8)

1. A method of assessing the state of health of an energy storage battery, the method comprising:
step 1, calling data in an energy storage battery test database, and fitting numerical values to form a curve SOH of the relation between the SOH and the cycle number n of the energy storage battery of the charge-discharge depth DOD of the energy storage system in divided I intervalsi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
step 2, aiming at energy storage complex operation toolsThe SOC (g (t)) line is formed by analyzing the time when g '(t) ≦ 0 starting from the time when g' (t) ≦ 0 and forming a time series t (t) ≦ 0j,1≤j≤N;
Step 3, calculating a time sequence t according to the SOC (g) (t) curvejCorresponding SOC sequence SOCj
Step 4, according to the SOC sequence SOCjFormation of DOD sequence DODkWherein j and k are natural numbers, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2]];
Step 5, according to DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
step 6, according to DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1Repeating step 6 when k +1 is equal to k +1, and when k +1 is equal to [ N/2]]If yes, turning to step 7;
step 7, when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
2. The method of claim 1, further comprising, prior to the numerically fitting a curve of energy storage battery state of health (SOH) versus number of cycles n for the divided I intervals of energy storage system depth of charge (DOD), the method further comprising:
establishing an energy storage battery test database, wherein the database comprises data of the relation between the SOH (state of health) of the energy storage battery and the cycle number n when different DODs (direction of arrival) are adopted;
dividing the value of DOD into I intervals, wherein in the ith DOD interval, the DODiHas a value range of (I-1/I, I/I)]I is a natural number, I is more than or equal to 1 and less than or equal to I.
3. Method according to claim 1 or 2, wherein for the i-th DOD interval, SOHiDOD extractioniSimulating test data for the first settingThe resultant curve refers to the SOH for the ith DOD intervaliDOD extractioniA curve was fit to the test data for (I-0.5)/I and is noted as:
Figure FDA0003503752170000021
4. the method of claim 3, wherein the SOC is based on a SOC sequencejFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
5. A system for assessing the state of health of an energy storage battery, the system comprising:
the SOH curve determining unit is used for calling data in the energy storage battery test database, and numerically fitting to form a curve SOH of the relation between the SOH and the cycle number n of the energy storage battery in the divided I intervals of the charge-discharge depth DOD of the energy storage systemi=f(n,DODi) For the ith DOD interval, SOHiDOD extractioniFitting a curve for the test data of a first set value, wherein the SOH is the ratio of the remaining available capacity of the battery to the initial dischargeable quantity of the new battery during operation, I is a natural number, and I is more than or equal to 1 and less than or equal to I;
and the time sequence determining unit is used for analyzing the time when g '(t) ≦ 0 by taking the time when g' (t) ≦ 0 as a starting time for the SOC ≦ g (t) line under the energy storage complex operation condition to form a time sequence t ≦ 0j,1≤j≤N;
An SOC sequence determination unit for calculating a time sequence t from an SOC-g (t) curvejCorresponding SOC sequence SOCj
A DOD sequence determination unit for determining the SOC according to the SOC sequencejFormation of DOD sequence DODkWherein j, kIs a natural number, j is more than or equal to 1 and less than or equal to N, k is more than or equal to 1 and less than or equal to [ N/2]];
An initial SOH determination unit for determining the initial SOH according to the DODkCalculating the SOH when the cycle number is 1 according to the SOH and cycle number curve of the DOD intervalkLet k equal to 1;
SOH cycle calculation unit for calculating the SOH cycle based on DODk+1Calculating the SOH and the cycle time curve of the DOD intervalkCorresponding number of charge and discharge cycles nkCalculating nk+1 SOH after Effectk+1When k +1 is equal to k +1, the SOH loop calculation unit performs loop calculation, and when k +1 is equal to [ N/2]]When the operation is finished, the operation goes to an SOH determination unit;
an SOH determination unit for determining when k +1 ═ N/2]Then, calculating to obtain DOD[N/2]After-effect SOH[N/2]Value of said SOH[N/2]The value is the energy storage battery health state value after the working condition curve acts.
6. The system of claim 5, further comprising:
the system comprises a database unit, a data base unit and a data base unit, wherein the database unit is used for establishing an energy storage battery test database, and the database comprises data of the relation between the state of health (SOH) of an energy storage battery and cycle times n when the DODs are different;
a DOD interval dividing unit for dividing the value of DOD into I intervals, wherein in the ith DOD interval, DODiHas a value range of (I-1/I, I/I)]I is a natural number, I is more than or equal to 1 and less than or equal to I.
7. System according to claim 5 or 6, characterized in that in the SOH curve determination unit, the SOHiDOD extractioniA curve was fitted to the generated test data for (I-0.5)/I and is recorded as:
Figure FDA0003503752170000031
8. the system in accordance with claim 7, wherein the DOD sequence determination sheetElement according to SOC sequence SOCjFormation of DOD sequence DODkThe calculation formula is as follows:
DODk=SOCj-SOCj+1=SOC2k-1-SOC2k
wherein j and k are natural numbers, j is 2k-1, j is more than or equal to 1 and less than or equal to N, and k is more than or equal to 1 and less than or equal to [ N/2 ].
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110988701B (en) * 2019-04-25 2021-04-30 宁德时代新能源科技股份有限公司 Battery available energy determination method, device, management system and storage medium
CN110346725B (en) * 2019-08-07 2021-09-03 优必爱信息技术(北京)有限公司 Construction method, evaluation method and device of battery health degree evaluation model
CN111740481B (en) * 2020-08-19 2020-11-24 江苏慧智能源工程技术创新研究院有限公司 Energy storage system EMS charging control method
CN112379291B (en) * 2020-09-29 2024-03-01 浙江南都电源动力股份有限公司 SOC estimation method and system for lithium battery system
CN113176511B (en) * 2021-02-10 2022-07-12 合肥工业大学 Energy storage charging and discharging optimization method and system considering health state

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101126796A (en) * 2007-10-12 2008-02-20 深圳华为通信技术有限公司 Battery electric quantity detecting method and device
KR20090020174A (en) * 2007-08-23 2009-02-26 현대자동차주식회사 Method for calculating battery soc of electronic vehicle
CN102135603A (en) * 2010-01-21 2011-07-27 财团法人工业技术研究院 Device for estimating cycle life of battery
CN102842914A (en) * 2012-08-02 2012-12-26 中国电力科学研究院 Energy storage power station monitoring system
CN103728563A (en) * 2013-12-17 2014-04-16 惠州市亿能电子有限公司 Method for measuring and calculating health status of batteries
CN104865532A (en) * 2014-02-24 2015-08-26 赛尔博莱移动同步有限公司 system and method for determining state of health of power source of portable device
CN106324518A (en) * 2016-08-31 2017-01-11 浙江长兴笛卡尔科技有限公司 SOH (State of Health) estimation method for power battery of electric car
CN106610478A (en) * 2017-01-10 2017-05-03 中国电力科学研究院 Energy storage battery characteristic estimation method and system based on mass data
CN107422266A (en) * 2017-03-15 2017-12-01 中国电力科学研究院 A kind of method for diagnosing faults and device of high capacity cell energy-storage system
CN107576912A (en) * 2011-09-12 2018-01-12 伊格皮切尔科技有限责任公司 System and method for determining battery state-of-health

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170214266A1 (en) * 2014-09-29 2017-07-27 Nec Corporation Electric power storage device, control device, electric power storage system, method for controlling electric power storage device, and non-transitory computer-readable medium storing control program

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20090020174A (en) * 2007-08-23 2009-02-26 현대자동차주식회사 Method for calculating battery soc of electronic vehicle
CN101126796A (en) * 2007-10-12 2008-02-20 深圳华为通信技术有限公司 Battery electric quantity detecting method and device
CN102135603A (en) * 2010-01-21 2011-07-27 财团法人工业技术研究院 Device for estimating cycle life of battery
CN107576912A (en) * 2011-09-12 2018-01-12 伊格皮切尔科技有限责任公司 System and method for determining battery state-of-health
CN102842914A (en) * 2012-08-02 2012-12-26 中国电力科学研究院 Energy storage power station monitoring system
CN103728563A (en) * 2013-12-17 2014-04-16 惠州市亿能电子有限公司 Method for measuring and calculating health status of batteries
CN104865532A (en) * 2014-02-24 2015-08-26 赛尔博莱移动同步有限公司 system and method for determining state of health of power source of portable device
CN106324518A (en) * 2016-08-31 2017-01-11 浙江长兴笛卡尔科技有限公司 SOH (State of Health) estimation method for power battery of electric car
CN106610478A (en) * 2017-01-10 2017-05-03 中国电力科学研究院 Energy storage battery characteristic estimation method and system based on mass data
CN107422266A (en) * 2017-03-15 2017-12-01 中国电力科学研究院 A kind of method for diagnosing faults and device of high capacity cell energy-storage system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
An enhanced coulomb counting method for estimating state-of-charge and state-of-health of lead-acid batteries;KS Ng等;《International Telecommunications Energy Conference》;20090118;全文 *
Capacity Fade Estimation in Electric Vehicles Li-ion Batteries using Artificial Neural Networks;Hussein, Ala A.;《IEEE Energy Conversion Congress and Exposition (ECCE)》;20130919;全文 *
储能系统容量优化配置及全寿命周期经济性评估方法研究;修晓青;《中国博士学位论文全文数据库 (工程科技Ⅱ辑)》;20180601;全文 *
锂离子电池梯次利用关键技术研究;孙冬;《中国博士学位论文全文数据库 (工程科技Ⅱ辑)》;20170430;全文 *

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