CN115047365A - Method for detecting residual electric quantity of storage battery pack - Google Patents
Method for detecting residual electric quantity of storage battery pack Download PDFInfo
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- CN115047365A CN115047365A CN202210218770.8A CN202210218770A CN115047365A CN 115047365 A CN115047365 A CN 115047365A CN 202210218770 A CN202210218770 A CN 202210218770A CN 115047365 A CN115047365 A CN 115047365A
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- storage battery
- battery pack
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- current
- terminal voltage
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 238000002474 experimental method Methods 0.000 claims abstract description 6
- 238000005457 optimization Methods 0.000 claims abstract description 4
- 238000005096 rolling process Methods 0.000 claims abstract description 4
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000007599 discharging Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
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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
-
- 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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- 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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention relates to the technical field of electronic circuits, in particular to a method for detecting the residual electric quantity of a storage battery pack; the detection method comprises the following steps: acquiring current and voltage data of a storage battery pack by using a self-adaptive filter structure; establishing a battery charge-discharge second-order model according to the acquired current and voltage data; estimating the terminal voltage of the storage battery pack and a practical measured terminal voltage variance prediction algorithm by adopting a preset method, and performing rolling optimization; deducing the open-circuit voltage of the storage battery pack through the second-order model parameters; and then obtaining a stable relation between the open-circuit voltage and the charge state of the battery by using an over-discharge experiment method, namely obtaining the residual electric quantity of the storage battery pack according to the open-circuit voltage, improving the detection method on the basis of the prior art, obtaining current and voltage data by using a self-adaptive filter, and matching with the established second-order model, thereby realizing the accurate detection of the residual electric quantity by estimating the terminal voltage.
Description
Technical Field
The invention relates to the technical field of electronic circuits, in particular to a method for detecting the residual electric quantity of a storage battery pack.
Background
The detection of the residual capacity of the storage battery is directly related to the use effect of the storage battery, has great significance, accurately detects the residual capacity of the storage battery, can limit the charge and discharge threshold value of the storage battery, and ensures the use safety of the storage battery; the discharging depth can be controlled, so that the service life of the storage battery is prolonged;
in the prior art, most of the detection on the residual capacity of the storage battery is to find out the relation between the residual capacity of the storage battery and external parameters such as current and voltage of the storage battery by measuring the external parameters so as to indirectly measure the residual capacity of the storage battery, and currently, methods such as a discharge method, an ampere-hour metering method, a voltage method, a storage battery internal resistance method and the like are commonly used;
however, in the actual use process, it is found that the errors of the methods on the precision of the estimated value of the residual capacity of the storage battery are large, and the judgment is influenced.
Disclosure of Invention
The invention aims to provide a storage battery pack remaining capacity detection method to solve the problem that the storage battery pack remaining capacity in the prior art is inaccurate in estimation.
In order to achieve the above object, the present invention provides a method for detecting remaining power of a storage battery pack, the method comprising the steps of:
acquiring current and voltage data of a storage battery pack by using a self-adaptive filter structure;
establishing a battery charge-discharge second-order model according to the acquired current and voltage data;
estimating a terminal voltage of a storage battery pack and a practical measurement terminal voltage variance prediction algorithm by adopting a preset method, and performing rolling optimization;
deducing the open-circuit voltage of the storage battery pack according to the second-order model parameter;
and then obtaining the stable relation between the open-circuit voltage and the battery charge state by a discharge experiment method, namely obtaining the residual electric quantity of the storage battery pack according to the open-circuit voltage.
The method for detecting the residual electric quantity of the storage battery pack is improved, the minimum criterion of the terminal voltage of the battery and the variance of the actually measured terminal voltage is estimated by establishing a battery charging and discharging second-order model, so that other battery model parameters are identified, the open-circuit voltage of battery charging and discharging is deduced through the model parameters, and the residual electric quantity of the storage battery pack can be obtained according to the stable relation obtained by a discharging experiment method.
The presetting method comprises the steps of establishing a cost function and a recursive least square method by adopting terminal voltage data, temperature data and internal resistance data.
A least squares approach is utilized to achieve adaptive filtering.
The current battery terminal voltage in the self-adaptive filter is used as a reference signal, and the current and voltage data at the previous moments are used for cooperatively estimating the current battery terminal voltage.
The current battery terminal voltage is used as a reference signal and is matched with current and voltage data obtained by previous measurement, and then the current battery terminal voltage can be estimated.
The method for detecting the residual electric quantity of the storage battery pack improves the detection method on the basis of the prior art, obtains current and voltage data by using the adaptive filter, and is matched with the established second-order model, so that the residual electric quantity can be accurately detected by estimating the terminal voltage.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is an adaptive filter structure of a method for detecting remaining battery power according to the present invention.
Fig. 2 is a block diagram of an implementation of a method for detecting remaining battery power according to the present invention.
Fig. 3 is a voltage detection circuit of the method for detecting the remaining capacity of the battery pack according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 to 3, the present invention provides a method for detecting remaining power of a battery pack, including the following steps:
acquiring current and voltage data of a storage battery pack by using a self-adaptive filter structure;
establishing a battery charge-discharge second-order model according to the acquired current and voltage data;
estimating the terminal voltage of the storage battery pack and a practical measured terminal voltage variance prediction algorithm by adopting a preset method, and performing rolling optimization;
deducing the open-circuit voltage of the storage battery pack according to the second-order model parameter;
and then obtaining the stable relation between the open-circuit voltage and the battery charge state by a discharge experiment method, namely obtaining the residual electric quantity of the storage battery pack according to the open-circuit voltage.
The method for detecting the residual electric quantity of the storage battery pack is improved, the minimum criterion of the terminal voltage of the battery and the variance of the actually measured terminal voltage is estimated by establishing a battery charging and discharging second-order model, so that other battery model parameters are identified, the open-circuit voltage of battery charging and discharging is deduced through the model parameters, and the residual electric quantity of the storage battery pack can be obtained according to the stable relation obtained by a discharging experiment method.
The presetting method comprises the steps of establishing a cost function and a recursive least square method by adopting terminal voltage data, temperature data and internal resistance data.
A least squares approach is utilized to achieve adaptive filtering.
The current battery terminal voltage in the self-adaptive filter is used as a reference signal, and the current and voltage data at the previous moments are used for cooperatively estimating the current battery terminal voltage.
The current battery terminal voltage is used as a reference signal and is matched with current and voltage data obtained by previous measurement, and then the current battery terminal voltage can be estimated.
The method for detecting the residual electric quantity of the storage battery pack is improved on the basis of the prior art, and the current and voltage data are obtained by using the adaptive filter and then matched with the established second-order model, so that the residual electric quantity is accurately detected by estimating the terminal voltage.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (3)
1. A method for detecting the residual electric quantity of a storage battery pack is characterized in that,
the detection method comprises the following steps:
acquiring current and voltage data of a storage battery pack by using a self-adaptive filter structure;
establishing a battery charge-discharge second-order model according to the acquired current and voltage data;
estimating the terminal voltage of the storage battery pack and a practical measured terminal voltage variance prediction algorithm by adopting a preset method, and performing rolling optimization;
deducing the open-circuit voltage of the storage battery pack according to the second-order model parameter;
and then obtaining the stable relation between the open-circuit voltage and the battery charge state by a discharge experiment method, namely obtaining the residual electric quantity of the storage battery pack according to the open-circuit voltage.
2. The method for detecting remaining capacity of a secondary battery according to claim 1,
the presetting method comprises the steps of establishing a cost function and a recursive least square method by adopting terminal voltage data, temperature data and internal resistance data.
3. The method for detecting remaining battery power according to claim 2,
the current battery terminal voltage in the adaptive filter is used as a reference signal, and the current and voltage data at the previous moments are used for cooperatively estimating the current battery terminal voltage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210218770.8A CN115047365A (en) | 2022-03-03 | 2022-03-03 | Method for detecting residual electric quantity of storage battery pack |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210218770.8A CN115047365A (en) | 2022-03-03 | 2022-03-03 | Method for detecting residual electric quantity of storage battery pack |
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| CN115047365A true CN115047365A (en) | 2022-09-13 |
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| CN202210218770.8A Pending CN115047365A (en) | 2022-03-03 | 2022-03-03 | Method for detecting residual electric quantity of storage battery pack |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103616647A (en) * | 2013-12-09 | 2014-03-05 | 天津大学 | Battery remaining capacity estimation method for electric car battery management system |
| US20140350877A1 (en) * | 2013-05-25 | 2014-11-27 | North Carolina State University | Battery parameters, state of charge (soc), and state of health (soh) co-estimation |
| CN106842060A (en) * | 2017-03-08 | 2017-06-13 | 深圳市海云图新能源有限公司 | A kind of electrokinetic cell SOC estimation method and system based on dynamic parameter |
| CN107576919A (en) * | 2017-10-20 | 2018-01-12 | 广东石油化工学院 | Power battery charged state estimating system and method based on ARMAX models |
| CN108072847A (en) * | 2018-01-29 | 2018-05-25 | 西南交通大学 | A kind of method of estimation of dynamic lithium battery identification of Model Parameters and remaining capacity |
| CN113109717A (en) * | 2021-03-27 | 2021-07-13 | 浙江大学 | Lithium battery state of charge estimation method based on characteristic curve optimization |
| CN113608126A (en) * | 2021-09-07 | 2021-11-05 | 南京邮电大学 | Lithium battery SOC online estimation method at different temperatures |
| CN113625182A (en) * | 2021-07-23 | 2021-11-09 | 北京理工大学 | Method for on-line estimating battery state |
-
2022
- 2022-03-03 CN CN202210218770.8A patent/CN115047365A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140350877A1 (en) * | 2013-05-25 | 2014-11-27 | North Carolina State University | Battery parameters, state of charge (soc), and state of health (soh) co-estimation |
| CN103616647A (en) * | 2013-12-09 | 2014-03-05 | 天津大学 | Battery remaining capacity estimation method for electric car battery management system |
| CN106842060A (en) * | 2017-03-08 | 2017-06-13 | 深圳市海云图新能源有限公司 | A kind of electrokinetic cell SOC estimation method and system based on dynamic parameter |
| CN107576919A (en) * | 2017-10-20 | 2018-01-12 | 广东石油化工学院 | Power battery charged state estimating system and method based on ARMAX models |
| CN108072847A (en) * | 2018-01-29 | 2018-05-25 | 西南交通大学 | A kind of method of estimation of dynamic lithium battery identification of Model Parameters and remaining capacity |
| CN113109717A (en) * | 2021-03-27 | 2021-07-13 | 浙江大学 | Lithium battery state of charge estimation method based on characteristic curve optimization |
| CN113625182A (en) * | 2021-07-23 | 2021-11-09 | 北京理工大学 | Method for on-line estimating battery state |
| CN113608126A (en) * | 2021-09-07 | 2021-11-05 | 南京邮电大学 | Lithium battery SOC online estimation method at different temperatures |
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