CN113687241A - Method and device for estimating state of charge of lithium ion battery for multi-mode model mine - Google Patents
Method and device for estimating state of charge of lithium ion battery for multi-mode model mine Download PDFInfo
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- CN113687241A CN113687241A CN202111143073.2A CN202111143073A CN113687241A CN 113687241 A CN113687241 A CN 113687241A CN 202111143073 A CN202111143073 A CN 202111143073A CN 113687241 A CN113687241 A CN 113687241A
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 39
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 18
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 35
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 35
- 238000007599 discharging Methods 0.000 claims abstract description 25
- 238000005065 mining Methods 0.000 claims abstract description 24
- 230000003137 locomotive effect Effects 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 239000000178 monomer Substances 0.000 claims description 6
- 238000002474 experimental method Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 239000003245 coal Substances 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012827 research and development Methods 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]
- G01R31/367—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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
-
- 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
Abstract
The invention discloses a method and a device for estimating the state of charge of a lithium ion battery for a multi-mode model mine, which comprise a data acquisition unit, wherein the data acquisition unit mainly adopts an LTC6811IC acquisition card and is used for acquiring terminal voltage UL and current I of a single lithium ion battery for the mine, and the data acquisition unit is also used for acquiring the temperature C of the single lithium ion battery during working; the charging and discharging detection unit mainly adopts a Hall sensor and is used for detecting the charging and discharging current of the lithium battery pack and detecting whether the lithium battery has charging and discharging abnormity; the charging time counting unit is used for recording the charging and discharging time of the lithium battery as t; a battery capacity detection unit. Has the advantages that: the terminal voltage and the temperature of the battery can be monitored in real time, the battery model can be accurately matched, the estimation precision of the state of charge of the mining lithium ion battery is greatly improved, and the safety use of the mining electric locomotive is guaranteed.
Description
Technical Field
The invention relates to the technical field of coal mine energy storage, in particular to a method and a device for estimating the state of charge of a lithium ion battery for a multi-mode model mine.
Background
With the increasingly outstanding environmental protection and energy conservation problems, the lithium ion battery has gradually been practically applied in the fields of automobiles, spaceflight, ships and the like as a high-capacity power supply due to the advantages of high specific energy, environmental protection and the like. China achieves great performance in the field of lithium ion batteries. However, the research and development and application of lithium ion batteries in the mining field are behind those in other fields, and especially, the special environment under coal mines also puts forward more severe requirements on the application of the lithium ion batteries. The coal mine industry is focused on improving the own technological level in adversity, and forms diversified patterns in the aspect of auxiliary transportation, monorail cranes, trackless rubber-tyred vehicles and the like are greatly developed, wherein a lithium ion battery is adopted as traction power and is the most important development trend. However, in the application of the lithium ion battery, the problems of inconsistency, safety and the like of the high-capacity lithium power battery with a plurality of battery cells exist, and the application and development of the lithium ion battery in the coal mine industry are seriously restricted by the problems. The state of charge (SOC) of the battery can reflect the state of the remaining capacity of the battery and provide a control strategy for controllers of a monorail crane and a trackless rubber-tyred vehicle, so that the accurate estimation of the SOC becomes an important link for the use of a high-capacity lithium battery in the field of mining industry.
The lithium ion battery is used as a complex electrochemical element, the state and the performance of the lithium ion battery change along with the change of the working condition, and the lithium ion battery is nonlinear, however, the estimation of the SOC state is more difficult to realize due to the special environmental requirements of high cost, large temperature difference change, large air humidity, poor abuse resistance and the like in the using process of the mining underground monorail crane or trackless rubber-tyred vehicle. Therefore, estimation of the SOC of the battery has become an urgent challenge in the field of electric vehicles and hybrid vehicles.
The method has the advantages that the problem that the traditional battery management cannot carry out full-time accurate estimation on the charge state and the residual electric quantity of the battery is solved, the terminal voltage and the temperature of the battery cannot be monitored in real time, a battery model cannot be accurately matched, the estimation accuracy of the charge state of the mining lithium ion battery cannot be improved, and the safety use of a mining electric locomotive cannot be guaranteed.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a method and a device for estimating the state of charge of a lithium ion battery for a multi-mode model mine, so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
a multi-mode model lithium ion battery charge state estimation device for mine comprises
The device comprises a data acquisition unit, a data acquisition unit and a data processing unit, wherein the data acquisition unit mainly adopts an LTC6811IC acquisition card and is used for acquiring terminal voltage UL and current I of a lithium battery monomer for the mine, and the data acquisition unit is also used for acquiring the temperature C of the lithium battery monomer during working;
the charging and discharging detection unit mainly adopts a Hall sensor and is used for detecting the charging and discharging current of the lithium battery pack and detecting whether the lithium battery has charging and discharging abnormity;
the charging time counting unit is used for recording the charging and discharging time of the lithium battery as t;
a battery capacity detection unit for calculating a remaining capacity from the current, the charge-discharge time, and the initial capacity Q1; during charging, I (t) is negative; while discharging I (t) is positive;
the model judging unit is used for selecting an optimal equivalent circuit model according to the error between the terminal voltage estimated value and the measured value and recording the parameters of the equivalent circuit model;
and the state of charge estimation unit is used for estimating the state of charge of the mining lithium ion battery according to the model parameters, the terminal voltage, the current and the temperature.
Preferably, the battery charging and discharging monitoring system further comprises a display module, wherein the display module is used for recording a relation curve of the state of charge and the terminal voltage of the battery, displaying the closing condition of the charging and discharging relay and displaying the charging and discharging communication handshake of the BMS.
Preferably, the mining electric locomotive further comprises a wireless receiving and transmitting device and a cloud service base station, the mining electric locomotive sends vehicle running condition data to the cloud service base station through the wireless receiving and transmitting device, and data exchange is carried out between the mining electric locomotive and a remote monitoring system through a network.
According to another aspect of the invention, a lithium ion battery state of charge estimation method for a multimode model mine is provided, which is used for a lithium ion battery state of charge estimation device for the multimode model mine, and comprises the following steps;
analyzing the battery by adopting a mixed pulse power characteristic experiment to obtain 4 common equivalent circuit model parameters;
acquiring terminal voltage UL and current I of a lithium battery, and acquiring temperature C of the lithium battery during working;
identifying 4 model parameters according to the terminal voltage UL and the current I to obtain an estimated value UL' of the terminal voltage;
calculating an AIC value according to an information criterion AIC 2 k-2 ln (L), L being a likelihood function of the UL;
matching the optimal model according to the AIC value;
and estimating the state of charge of the battery by adopting an extended Kalman filtering method based on the selected model according to the terminal voltage UL and the current I.
Preferably, the state of charge monitoring of the battery further comprises:
judging whether the idle time of the lithium battery is longer than a fixed time length or not;
if the idle time does not exceed the fixed time length, the electric quantity of the lithium battery at the end of the last estimation period is used as an electric quantity initial value of the current estimation period;
and if the idle time exceeds the fixed duration, measuring the voltages at two ends of the lithium battery, and obtaining the initial value of the electric quantity of the battery by inquiring an open circuit voltage-charge state table.
The invention has the beneficial effects that:
the method has the advantages that firstly, the terminal voltage and the temperature of the battery can be monitored in real time, the battery model can be accurately matched, the estimation precision of the state of charge of the mining lithium ion battery is greatly improved, and the safety use of the mining electric locomotive is guaranteed;
and secondly, 4 model parameters can be obtained through a mixed pulse characteristic experiment, an optimal model is judged according to an AIC information criterion, accurate equivalence of the battery in the whole using period is realized macroscopically and microscopically, and the state of charge of the lithium ion battery is accurately estimated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of steps of a state of charge estimation method for a lithium ion battery for a multimode model mine according to an embodiment of the invention.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
The embodiment of the invention provides a method and a device for estimating the state of charge of a lithium ion battery for a multi-mode model mine.
The first embodiment;
as shown in fig. 1, the device for estimating the state of charge of the lithium ion battery for the mine based on the multimode model according to the embodiment of the invention comprises
The device comprises a data acquisition unit, a data acquisition unit and a data processing unit, wherein the data acquisition unit mainly adopts an LTC6811IC acquisition card and is used for acquiring terminal voltage UL and current I of a lithium battery monomer for the mine, and the data acquisition unit is also used for acquiring the temperature C of the lithium battery monomer during working;
the charging and discharging detection unit mainly adopts a Hall sensor and is used for detecting the charging and discharging current of the lithium battery pack and detecting whether the lithium battery has charging and discharging abnormity;
the charging time counting unit is used for recording the charging and discharging time of the lithium battery as t;
a battery capacity detection unit for calculating a remaining capacity from the current, the charge-discharge time, and the initial capacity Q1; during charging, I (t) is negative; while discharging I (t) is positive;
the model judging unit is used for selecting an optimal equivalent circuit model according to the error between the terminal voltage estimated value and the measured value and recording the parameters of the equivalent circuit model;
and the state of charge estimation unit is used for estimating the state of charge of the mining lithium ion battery according to the model parameters, the terminal voltage, the current and the temperature.
Example two;
as shown in fig. 1, the battery charging and discharging monitoring system further comprises a display module, wherein the display module is used for recording a relation curve between the state of charge and the terminal voltage of the battery, displaying the closing condition of the charging and discharging relay, and displaying the charging and discharging communication handshake of the BMS; the mining electric locomotive is characterized by further comprising a wireless receiving and transmitting device and a cloud service base station, wherein the mining electric locomotive transmits vehicle operation condition data to the cloud service base station through the wireless receiving and transmitting device and exchanges data with a remote monitoring system through a network.
Example three;
as shown in fig. 1, according to an embodiment of the present invention, there is also provided a multi-mode model mining lithium ion battery state of charge estimation method, for a multi-mode model mining lithium ion battery state of charge estimation device, including the following steps;
step S101, analyzing a battery by adopting a mixed pulse power characteristic experiment to obtain 4 common equivalent circuit model parameters;
step S103, acquiring terminal voltage UL and current I of the lithium battery, and acquiring temperature C of the lithium battery during working;
step S105, identifying 4 model parameters according to the terminal voltage UL and the current I to obtain an estimated value UL' of the terminal voltage;
step S107, calculating an AIC value according to an information criterion AIC 2 k-2 ln (L), wherein L is a likelihood function of UL;
step S109, matching the optimal model according to the AIC value;
and step S111, estimating the state of charge of the battery by adopting an extended Kalman filtering method based on the selected model according to the terminal voltage UL and the current I.
Example four;
as shown in fig. 1, the state of charge monitoring of the battery further comprises:
judging whether the idle time of the lithium battery is longer than a fixed time length or not;
if the idle time does not exceed the fixed time length, the electric quantity of the lithium battery at the end of the last estimation period is used as an electric quantity initial value of the current estimation period;
and if the idle time exceeds the fixed duration, measuring the voltages at two ends of the lithium battery, and obtaining the initial value of the electric quantity of the battery by inquiring an open circuit voltage-charge state table.
In summary, according to the technical scheme of the invention, firstly, relatively accurate initial values of electric quantity of the battery pack are obtained according to different states of the lithium ion battery, then the SOC is estimated by an ampere-hour method, the error between the terminal voltage and the predicted power supply is calculated by using the AIC information criterion, the best model among the internal resistance model, the PNGV model, the second-order RC model and the Thevenin model is automatically matched, the model parameters are modified according to the temperature value, and the SOC value is estimated by using the extended Kalman filtering, so that the accuracy and the feasibility of the online whole-time estimation of the SOC of the battery are ensured, the overall cost of the battery management system is reduced to a great extent, and the final SOC estimation value becomes more effective and reliable.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A multi-mode model mining lithium ion battery state of charge estimation device is characterized by comprising
The device comprises a data acquisition unit, a data acquisition unit and a data processing unit, wherein the data acquisition unit mainly adopts an LTC6811IC acquisition card and is used for acquiring terminal voltage UL and current I of a lithium battery monomer for the mine, and the data acquisition unit is also used for acquiring the temperature C of the lithium battery monomer during working;
the charging and discharging detection unit mainly adopts a Hall sensor and is used for detecting the charging and discharging current of the lithium battery pack and detecting whether the lithium battery has charging and discharging abnormity;
the charging time counting unit is used for recording the charging and discharging time of the lithium battery as t;
a battery capacity detection unit for calculating a remaining capacity from the current, the charge-discharge time, and the initial capacity Q1; during charging, I (t) is negative; while discharging I (t) is positive;
the model judging unit is used for selecting an optimal equivalent circuit model according to the error between the terminal voltage estimated value and the measured value and recording the parameters of the equivalent circuit model;
and the state of charge estimation unit is used for estimating the state of charge of the mining lithium ion battery according to the model parameters, the terminal voltage, the current and the temperature.
2. The lithium ion battery state of charge estimation device for the multi-mode model mine according to claim 1, further comprising a display module, wherein the display module is used for recording a relation curve between the state of charge and the terminal voltage of the battery, displaying the closing condition of a charge and discharge relay, and displaying the charge and discharge communication handshake of a BMS.
3. The multi-mode model mining lithium ion battery state of charge estimation device of claim 2, further comprising a wireless receiver-transmitter and a cloud service base station, wherein the mining electric locomotive transmits vehicle operation condition data to the cloud service base station through the wireless receiver-transmitter and exchanges data with a remote monitoring system through a network.
4. The multi-mode model mining lithium ion battery state-of-charge estimation method is characterized by being used for the multi-mode model mining lithium ion battery state-of-charge estimation device of claim 3, and comprising the following steps;
analyzing the battery by adopting a mixed pulse power characteristic experiment to obtain 4 common equivalent circuit model parameters;
acquiring terminal voltage UL and current I of a lithium battery, and acquiring temperature C of the lithium battery during working;
identifying 4 model parameters according to the terminal voltage UL and the current I to obtain an estimated value UL' of the terminal voltage;
calculating an AIC value according to an information criterion AIC 2 k-2 ln (L), L being a likelihood function of the UL;
matching the optimal model according to the AIC value;
and estimating the state of charge of the battery by adopting an extended Kalman filtering method based on the selected model according to the terminal voltage UL and the current I.
5. The method for estimating the state of charge of the lithium ion battery for the multi-mode model mine according to claim 4, wherein the monitoring of the state of charge of the battery further comprises:
judging whether the idle time of the lithium battery is longer than a fixed time length or not;
if the idle time does not exceed the fixed time length, the electric quantity of the lithium battery at the end of the last estimation period is used as an electric quantity initial value of the current estimation period;
and if the idle time exceeds the fixed duration, measuring the voltages at two ends of the lithium battery, and obtaining the initial value of the electric quantity of the battery by inquiring an open circuit voltage-charge state table.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115932614A (en) * | 2022-12-13 | 2023-04-07 | 惠州恒立能源科技有限公司 | Battery charge state detection method and system for charging and discharging of lithium battery energy storage system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103926538A (en) * | 2014-05-05 | 2014-07-16 | 山东大学 | Variable tap-length RC equivalent circuit model and realization method based on AIC |
| CN103941195A (en) * | 2014-05-05 | 2014-07-23 | 山东大学 | Method for battery SOC estimation based on small model error criterion expanding Kalman filter |
| CN110596593A (en) * | 2019-08-26 | 2019-12-20 | 浙江大学 | Lithium ion battery SOC estimation method based on intelligent adaptive extended Kalman filtering |
| CN111025168A (en) * | 2019-11-29 | 2020-04-17 | 淮南师范学院 | Battery health state monitoring device and battery state of charge intelligent estimation method |
| CN112580284A (en) * | 2020-12-04 | 2021-03-30 | 华中科技大学 | Hybrid capacitor equivalent circuit model and online parameter identification method |
-
2021
- 2021-09-28 CN CN202111143073.2A patent/CN113687241A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103926538A (en) * | 2014-05-05 | 2014-07-16 | 山东大学 | Variable tap-length RC equivalent circuit model and realization method based on AIC |
| CN103941195A (en) * | 2014-05-05 | 2014-07-23 | 山东大学 | Method for battery SOC estimation based on small model error criterion expanding Kalman filter |
| CN110596593A (en) * | 2019-08-26 | 2019-12-20 | 浙江大学 | Lithium ion battery SOC estimation method based on intelligent adaptive extended Kalman filtering |
| CN111025168A (en) * | 2019-11-29 | 2020-04-17 | 淮南师范学院 | Battery health state monitoring device and battery state of charge intelligent estimation method |
| CN112580284A (en) * | 2020-12-04 | 2021-03-30 | 华中科技大学 | Hybrid capacitor equivalent circuit model and online parameter identification method |
Non-Patent Citations (6)
| Title |
|---|
| 刈屋 等: "《计量经济分析的基础与应用》", 31 August 1992, 中国金融出版社, pages: 198 * |
| 夏飞 等: "基于信息量准则的锂离子电池...等效电路模型建模及优化方法", 《中国电机工程学报》, vol. 38, no. 21, 5 November 2018 (2018-11-05), pages 6441 - 6451 * |
| 徐佳宁 等: "基于仿真对比的电池等效电路模型分析", 电测与仪表, vol. 54, no. 02, 25 January 2017 (2017-01-25), pages 1 - 6 * |
| 李国春 等: "基于AIC准则判断锂电池最优模型", 《汽车工程学报》, vol. 9, no. 5, 30 September 2019 (2019-09-30), pages 352 * |
| 李萌 等: "《高精度GNSS数据处理与地震地壳形变分析》", 30 June 2021, 中国地质大学出版社, pages: 79 - 80 * |
| 梅子行 等: "《智能风控》", 30 May 2020, 机械工业出版社, pages: 166 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115932614A (en) * | 2022-12-13 | 2023-04-07 | 惠州恒立能源科技有限公司 | Battery charge state detection method and system for charging and discharging of lithium battery energy storage system |
| CN115932614B (en) * | 2022-12-13 | 2023-08-29 | 惠州恒立能源科技有限公司 | Method and system for detecting battery charge state of charge and discharge of lithium battery energy storage system |
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