CN111596219A - Estimation method for SOC of energy storage battery pack - Google Patents
Estimation method for SOC of energy storage battery pack Download PDFInfo
- Publication number
- CN111596219A CN111596219A CN202010541235.7A CN202010541235A CN111596219A CN 111596219 A CN111596219 A CN 111596219A CN 202010541235 A CN202010541235 A CN 202010541235A CN 111596219 A CN111596219 A CN 111596219A
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- soc
- energy storage
- battery pack
- storage battery
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
Abstract
The invention discloses an estimation method of an energy storage battery pack SOC, which comprises the following steps: dividing the value range [0, 100% ] of the SOC of the energy storage battery pack into a plurality of continuous intervals, and adopting different corresponding SOC estimation methods for each interval; obtaining an initial SOC value of an energy storage battery pack before accessing an energy storage power station, carrying out corresponding SOC estimation according to an interval where the initial SOC value is located, then carrying out re-estimation according to an interval where an estimation result is located, and continuously repeating the re-estimation process. The method divides the SOC value range of the energy storage battery pack, adopts different estimation methods for each divided region, and can avoid large errors caused by long-term adoption of a single estimation method.
Description
The technical field is as follows:
the invention belongs to the field of distributed energy storage, and particularly relates to an estimation method of an energy storage battery pack SOC.
Background art:
considering the influence of intermittent and random new energy power generation system grid connection on the stable operation of a power grid, the stable operation development of an energy storage power station is emphasized. The existing energy storage battery pack in the energy storage power station improves the integral voltage and capacity of the energy storage power station by connecting a large number of energy storage battery monomers in series and parallel, in the production and manufacturing process of the energy storage battery pack, the situation that battery properties such as battery capacity, battery nominal voltage, battery internal resistance and the like are inconsistent can be avoided, and a large number of series-parallel battery packs can generate unbalanced condition in the charging and discharging process of the energy storage power station, this situation requires accurate monitoring of the operating energy storage battery pack SOC, however, in the existing estimation method for the energy storage battery pack, an algorithm is generally adopted to estimate the SOC of the battery in a complete charging and discharging working interval, and a single estimation method adopted for long time to estimate the SOC of the energy storage battery pack generates a large error, so that an accurate SOC value of the energy storage battery pack cannot be obtained in real time.
The invention content is as follows:
in order to solve the above problems, the present invention provides a method for estimating SOC of an energy storage battery pack, which has the following technical scheme:
a method for estimating SOC of an energy storage battery pack comprises the following steps:
dividing the value range [0, 100% ] of the SOC of the energy storage battery pack into a plurality of continuous intervals, and adopting different corresponding SOC estimation methods for each interval;
obtaining an initial SOC value of an energy storage battery pack before accessing an energy storage power station, carrying out corresponding SOC estimation according to an interval where the initial SOC value is located, then carrying out re-estimation according to an interval where an estimation result is located, and continuously repeating the re-estimation process.
Preferably, said several consecutive intervals comprise [0, 10%), [ 10%, 30%), [ 30%, 90% ] and (90%, 100%); wherein [0, 10%) is an over-discharge state interval, and the SOC estimation method corresponding to the over-discharge state interval includes: stopping discharging the energy storage battery pack, and estimating the SOC by adopting an open circuit voltage method;
[ 10%, 30%) is a correction recognition state interval, and the SOC estimation method corresponding to the correction recognition interval includes: estimating the SOC by adopting an ampere-hour integration method;
[ 30%, 90% ] is a voltage steady state interval, and the SOC estimation method corresponding to the voltage steady state interval comprises the following steps: carrying out SOC estimation by adopting a KEF algorithm based on BP neural network optimization or a characteristic curve comparison method;
(90%, 100%) is an overcharge state interval, and the SOC estimation method corresponding to the overcharge state interval includes: and stopping charging the energy storage battery pack, and estimating the SOC by adopting an open circuit voltage method.
Compared with the prior art, the invention has the following beneficial effects:
the method can estimate the SOC of the energy storage battery pack in real time, the SOC value range of the energy storage battery pack is divided, each interval corresponds to different estimation methods, and large errors caused by long-term adoption of a single estimation method can be avoided.
Description of the drawings:
FIG. 1 is a flow chart of an estimation method in an embodiment;
FIG. 2 is a schematic diagram of SOC partition under a charging state in an embodiment;
FIG. 3 is a schematic diagram of SOC partition in discharge state in the embodiment.
The specific implementation mode is as follows:
the invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example one
In this embodiment, the method for estimating the SOC of the energy storage battery pack according to the present invention is implemented in a certain energy storage power station, and as shown in fig. 1, the method includes:
dividing a value range [0, 100% ] of the SOC of the energy storage battery pack into [0, 10%, [ 10%, 30%, [ 30%, 90% ] and (90%, 100% ] to form four continuous intervals, and partitioning the SOC under a charging state and a discharging state, as shown in fig. 2 and fig. 3, wherein [0, 10%) is an overdischarging state interval, [ 10%, 30%) is a correction recognition state interval, [ 30%, 90% ] is a voltage stable state interval, (90%, 100%) is an overcharge state interval, and the four intervals correspond to respective SOC estimation methods, wherein the overdischarging state interval, namely the SOC estimation method corresponding to the interval A, firstly stops discharging the energy storage battery pack, and then adopts an open-circuit voltage method to perform SOC estimation; correcting the identification interval, namely correcting the SOC estimation method corresponding to the interval B to carry out SOC estimation by adopting an ampere-hour integration method; the SOC estimation method corresponding to the voltage stable state interval, namely the interval C is to adopt a KEF algorithm based on BP neural network optimization or carry out SOC estimation by a characteristic curve comparison method; the SOC estimation method corresponding to the overcharge state interval, namely the interval D, comprises the steps of firstly stopping charging the energy storage battery pack, and then carrying out SOC estimation by adopting an open-circuit voltage method;
then obtaining an initial SOC value of the energy storage battery pack before the energy storage battery pack is accessed to the energy storage power station, then accessing the energy storage battery pack to the distributed energy storage power station, and after the distributed energy storage power station runs stably, carrying out SOC estimation on the energy storage battery pack according to an SOC estimation method corresponding to an interval where the initial SOC value is located to obtain an SOC estimation result; and then judging which interval the SOC estimation result is located in, re-estimating the energy storage battery pack according to the estimation method corresponding to the interval where the estimation result is located, and continuously repeating the re-estimation process to realize the real-time estimation of the SOC of the energy storage battery pack.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (2)
1. A method for estimating the SOC of an energy storage battery pack is characterized in that: the method comprises the following steps:
dividing the value range [0, 100% ] of the SOC of the energy storage battery pack into a plurality of continuous intervals, and adopting different corresponding SOC estimation methods for each interval;
obtaining an initial SOC value of an energy storage battery pack before accessing an energy storage power station, carrying out corresponding SOC estimation according to an interval where the initial SOC value is located, then carrying out re-estimation according to an interval where an estimation result is located, and continuously repeating the re-estimation process.
2. The method of estimating SOC of an energy storage battery pack of claim 1, wherein:
the plurality of consecutive intervals comprise [0, 10%, [ 10%, 30%, [ 30%, 90% ] and (90%, 100%); wherein [0, 10%) is an over-discharge state interval, and the SOC estimation method corresponding to the over-discharge state interval includes: stopping discharging the energy storage battery pack, and estimating the SOC by adopting an open circuit voltage method;
[ 10%, 30%) is a correction recognition state interval, and the SOC estimation method corresponding to the correction recognition interval includes: estimating the SOC by adopting an ampere-hour integration method;
[ 30%, 90% ] is a voltage steady state interval, and the SOC estimation method corresponding to the voltage steady state interval comprises the following steps: carrying out SOC estimation by adopting a KEF algorithm based on BP neural network optimization or a characteristic curve comparison method;
(90%, 100%) is an overcharge state interval, and the SOC estimation method corresponding to the overcharge state interval includes: and stopping charging the energy storage battery pack, and estimating the SOC by adopting an open circuit voltage method.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2023279902A1 (en) * | 2021-07-06 | 2023-01-12 | 广州汽车集团股份有限公司 | Method and system for displaying charge level of lithium battery |
| CN116087817A (en) * | 2023-04-10 | 2023-05-09 | 澄瑞电力科技（上海）有限公司 | Ship battery state of charge evaluation method and system |
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- 2020-06-15 CN CN202010541235.7A patent/CN111596219A/en active Pending
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| WO2023279902A1 (en) * | 2021-07-06 | 2023-01-12 | 广州汽车集团股份有限公司 | Method and system for displaying charge level of lithium battery |
| CN116087817A (en) * | 2023-04-10 | 2023-05-09 | 澄瑞电力科技（上海）有限公司 | Ship battery state of charge evaluation method and system |
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