CN112858926A - Lithium battery module safety monitoring management system and management method thereof - Google Patents
Lithium battery module safety monitoring management system and management method thereof Download PDFInfo
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- CN112858926A CN112858926A CN202011550160.5A CN202011550160A CN112858926A CN 112858926 A CN112858926 A CN 112858926A CN 202011550160 A CN202011550160 A CN 202011550160A CN 112858926 A CN112858926 A CN 112858926A
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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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]
- G01R31/371—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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Abstract
The invention belongs to the technical field of lithium battery safety monitoring, and particularly relates to a lithium battery module safety monitoring management system and a management method thereof. The invention has the characteristics of timely alarming and high parameter monitoring accuracy, and meets the requirements of stable, reliable and efficient safety monitoring of the lithium battery module.
Description
Technical Field
The invention relates to the technical field of lithium battery safety monitoring, in particular to a lithium battery module safety monitoring management system and a lithium battery module safety monitoring management method.
Background
In recent years, with the development of various hybrid vehicles and electric vehicles, the performance of the vehicle-mounted battery is more and more required. This is particularly true of plug-in hybrid electric vehicles (PHEVs) and Electric Vehicles (EVs); compared with gasoline hybrid electric vehicles, the hybrid electric vehicle has higher requirement on the capacity of the storage battery, and has the advantages of low charge-discharge loss and self-discharge requirement. Therefore, the position of the lithium ion secondary battery is becoming more and more important.
The lithium ion battery becomes the preferred power source of the electric automobile with the advantages of high energy density, high power density, long cycle life, good safety and the like. In order to reach a certain voltage, power and energy level, a plurality of single batteries are connected in series or in parallel to be used in a group. The consistency of the lithium battery pack monomer is very important, and the inconsistency of the lithium battery parameters mainly refers to the inconsistency of the capacity, the internal resistance, the working temperature and the open-circuit voltage. Therefore, parameter detection is required for the lithium battery. At present, the defect of low accuracy of monitoring data generally exists when parameter monitoring is carried out on a lithium battery module, abnormal alarming cannot be timely carried out, and the stability and the reliability are poor.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a lithium battery module safety monitoring management system and a management method thereof, which solve the problems that the accuracy of monitoring data is low, abnormal alarm cannot be timely performed, and the stability and reliability are poor when the parameter monitoring is performed on the lithium battery module at present.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a lithium battery module safety monitoring management system comprises a field collection and control module, a monitoring computer, a central application server, a preprocessing server, a WEB server and a database server, wherein the field collection and control module consists of a control terminal, a lithium battery data collection module, a storage module, a display module, an alarm module and a wireless transmission module, the lithium battery data collection module, the storage module, the display module, the alarm module and the wireless transmission module are respectively and electrically connected with the control terminal, the control terminal is in wireless communication with the monitoring computer through the wireless transmission module, the central application server, the preprocessing server, the WEB server and the database server are respectively connected with the central application server, and the central application server is used for receiving source data collected by the field collection and control module and publishing and managing the source data, And comparing and analyzing the source data with a standard test threshold, wherein the preprocessing server comprises an outlier algorithm, eliminates the deviation observation value in the source data based on the outlier algorithm, calculates the observation data mean value of the source data except the deviation observation value, selecting a corresponding number of data values closest to the mean value of the observation data from the observation data according to the preset number of mean value data, calculating a secondary mean value of the number of data values, the WEB server is used for providing an online information browsing service, the database server comprises a standard test threshold value, used for providing standard test threshold value for the central application server, storing and managing the source data and the final data processed by the preprocessing server, the central application server is used for extracting a standard test threshold value and judging whether the secondary average value is within the standard test threshold value so as to judge whether data abnormity occurs.
As a preferable technical scheme of the invention, the control terminal adopts an MCU of which the model is STM32F 103.
As a preferred technical scheme of the invention, the data acquired by the lithium battery data acquisition module comprises the capacity, the internal resistance, the open-circuit voltage, the current and the working temperature of the lithium battery, and the measurement times of the lithium battery data acquisition module are counted.
As a preferable technical scheme of the invention, the alarm module adopts an audible and visual alarm and is used for giving audible and visual alarms when data are abnormal.
As a preferred technical scheme of the invention, the wireless transmission module adopts one of GPRS/GSM/3G network, RS485 bus and optical fiber communication mode.
As a preferred technical solution of the present invention, the outlier algorithm employs a rayder criterion method.
The invention also provides a management method of the lithium battery module safety monitoring management system, which comprises the following steps:
step S1, acquiring the capacity, internal resistance, open-circuit voltage, current and working temperature data of the lithium battery by the field acquisition and control module, wherein the acquisition frequency of each group of data is 20 times, forming source data, and transmitting the source data to the monitoring computer;
step S2, the central application server receives the source data transmitted by the monitoring computer and transmits the source data to the preprocessing server;
s3, the preprocessing server eliminates the deviation observation value in the source data based on the outlier algorithm, calculates the observation data mean value of the source data except the deviation observation value, selects the corresponding number of data values closest to the observation data mean value in the observation data according to the preset number of mean value data, calculates the secondary mean value of the number of data values, and transmits the calculated secondary mean value to the central application server;
step S4, the central application server extracts a standard test threshold value in the database server and judges whether the secondary mean value is in the standard test threshold value;
step S5, if the secondary mean value is within the standard test threshold value, the data is normal;
and step S6, if the secondary mean value is outside the standard test threshold value, the data is abnormal, and the data abnormal alarm signal is sent to the field acquisition and control module, and the field acquisition and control module sends out an alarm according to the abnormal alarm signal.
As a preferred technical scheme of the invention, the observation data mean value comprises a battery capacity observation data mean value, an internal resistance observation data mean value, an open-circuit voltage observation data mean value, a current observation data mean value and a working temperature observation data mean value.
(III) advantageous effects
Compared with the prior art, the invention provides a lithium battery module safety monitoring management system and a management method thereof, which have the following beneficial effects:
the lithium battery module safety monitoring management system and the management method thereof are characterized in that a deviation observation value in source data is removed through a preprocessing server based on an outlier algorithm, the mean value of the observation data of the source data except the deviation observation value is calculated, a corresponding number of data values closest to the mean value of the observation data in the observation data are selected according to the number of preset mean value data, the secondary mean value of the data values is calculated, a standard test threshold value in a database server is extracted by a central application server, whether the secondary mean value is within the standard test threshold value or not is judged, whether data abnormity occurs or not is judged, an abnormity alarm signal is fed back when the data is abnormal, the system has the characteristics of timely alarm and high parameter monitoring accuracy, and the requirements of stable, reliable and efficient lithium battery module safety monitoring are met.
Drawings
Fig. 1 is a schematic block diagram of a system of a lithium battery module safety monitoring and management system according to the present invention;
FIG. 2 is a schematic block diagram of a system for on-site acquisition and control of a lithium battery module safety monitoring and management system according to the present invention;
fig. 3 is a schematic diagram illustrating steps of a management method of a lithium battery module safety monitoring and management system according to the present invention.
In the figure: 1. a field acquisition and control module; 101. a control terminal; 102. a lithium battery data acquisition module; 103. a storage module; 104. a display module; 105. an alarm module; 106. a wireless transmission module; 2. monitoring a computer; 3. a central application server; 4. a preprocessing server; 5. a WEB server; 6. a database server.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
Referring to fig. 1-3, the present invention provides the following technical solutions: a lithium battery module safety monitoring management system comprises a field collection and control module 1, a monitoring computer 2, a central application server 3, a preprocessing server 4, a WEB server 5 and a database server 6, wherein the field collection and control module 1 comprises a control terminal 101, a lithium battery data collection module 102, a storage module 103, a display module 104, an alarm module 105 and a wireless transmission module 106, the lithium battery data collection module 102, the storage module 103, the display module 104, the alarm module 105 and the wireless transmission module 106 are respectively and electrically connected with the control terminal 101, the control terminal 101 is in wireless communication with the monitoring computer 2 through the wireless transmission module 106, the central application server 3, the preprocessing server 4, the WEB server 5 and the database server 6 are respectively connected with the central application server 3, and the central application server 3 is used for receiving source data collected by the field collection and control module 1, the method comprises the steps of issuing and managing source data, comparing and analyzing the source data with a standard test threshold value, enabling a preprocessing server 4 to comprise an outlier algorithm, eliminating deviation observation values in the source data based on the outlier algorithm, calculating an observation data mean value of the source data except the deviation observation values, selecting a corresponding number of data values closest to the observation data mean value in the observation data according to a preset number of mean value data, calculating a secondary mean value of the number of data values, enabling a WEB server 5 to provide online information browsing service, enabling a database server 6 to comprise a standard test threshold value, providing the standard test threshold value for a central application server 3, storing and managing the source data and final data processed by the preprocessing server 4, enabling the central application server 3 to extract the standard test threshold value and judging whether the secondary mean value is within the standard test threshold value, to determine whether a data anomaly has occurred.
Specifically, the control terminal 101 adopts an MCU of model STM32F 103.
Specifically, the data collected by the lithium battery data collection module 102 includes the capacity, internal resistance, open-circuit voltage, current and working temperature of the lithium battery, and the number of times of measurement of the lithium battery data collection module 102 is 20.
In this embodiment, in order to ensure the accuracy of the measured data, the requirement of the ralida criterion method is met, and therefore the number of measurements is determined to be 20.
Specifically, the alarm module 105 employs an audible and visual alarm for performing audible and visual alarm when data is abnormal.
Specifically, the wireless transmission module 106 adopts one of a GPRS/GSM/3G network, an RS485 bus, and an optical fiber communication mode.
Specifically, the outlier algorithm employs a Lauda criterion method.
In this embodiment, the raleigh criterion method is simple, does not require table lookup, is used when the number of measurements is large or the requirement is not high, and is the most commonly used abnormal value determination and elimination criterion, but when the number of measurements is less than 10, the criterion fails, and if the overall x of the experimental data values is normally distributed, in the abnormal value (outlier) determination and elimination (rejection) formula, μ and σ represent the mathematical expectation and standard deviation of the overall normality, respectively, and at this time, the probability that the experimental data values having data values greater than μ +3 σ or less than μ -3 σ appear is very small, and therefore, the experimental data values having data values greater than μ +3 σ or less than μ -3 σ are eliminated as abnormal values according to the above formula.
The invention also provides a management method of the lithium battery module safety monitoring management system, which comprises the following steps:
step S1, acquiring the capacity, internal resistance, open-circuit voltage, current and working temperature data of the lithium battery by the field acquisition and control module 1, wherein the acquisition frequency of each group of data is 20 times, forming source data, and transmitting the source data to the monitoring computer 2;
step S2, the central application server 3 receives the source data transmitted via the monitoring computer 2, and transmits the source data to the preprocessing server 4;
step S3, the preprocessing server 4 eliminates the deviation observation value in the source data based on the outlier algorithm, calculates the observation data mean value of the source data except the deviation observation value, selects the corresponding number of data values closest to the observation data mean value in the observation data according to the preset number of the mean value data, calculates the secondary mean value of the number of data values, and transmits the calculated secondary mean value to the central application server 3;
step S4, the central application server 3 extracts the standard test threshold in the database server 6, and determines whether the secondary average is within the standard test threshold;
step S5, if the secondary mean value is within the standard test threshold value, the data is normal;
and step S6, if the secondary mean value is outside the standard test threshold value, the data is abnormal, and the data abnormal alarm signal is sent to the field acquisition and control module 1, and the field acquisition and control module 1 gives an alarm according to the abnormal alarm signal.
Specifically, the observation data mean value includes a battery capacity observation data mean value, an internal resistance observation data mean value, an open-circuit voltage observation data mean value, a current observation data mean value, and a working temperature observation data mean value.
The working principle and the using process of the invention are as follows: acquiring the capacity, internal resistance, open-circuit voltage, current and working temperature data of the lithium battery through a field acquisition and control module 1, wherein the acquisition frequency of each group of data is 20 times to form source data, and transmitting the source data to a monitoring computer 2; receiving, by the central application server 3, the source data transmitted via the monitoring computer 2, and transmitting the source data to the preprocessing server 4; the preprocessing server 4 eliminates the deviation observation value in the source data based on the outlier algorithm, calculates the observation data mean value of the source data except the deviation observation value, selects the corresponding number of data values closest to the observation data mean value in the observation data according to the preset number of mean value data, calculates the secondary mean value of the number of data values, and transmits the calculated secondary mean value to the central application server 3; the central application server 3 extracts a standard test threshold value in the database server 6 and judges whether the secondary average value is within the standard test threshold value; if the secondary mean value is within the standard test threshold value, the data is normal; if the secondary mean value is out of the standard test threshold value, the data is abnormal, and a data abnormal alarm signal is sent to the field acquisition and control module 1, and the field acquisition and control module 1 sends an alarm according to the abnormal alarm signal; on the other hand, the user can refer to the detection data through the display module 104, and provide the WEB information browsing service through the WEB server 5, so that the user can browse information on the WEB.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a lithium cell module safety monitoring management system, includes on-the-spot collection and control module (1), supervisory control computer (2), central application server (3), preprocessing server (4), WEB server (5) and database server (6), its characterized in that: the on-site collection and control module (1) is composed of a control terminal (101), a lithium battery data collection module (102), a storage module (103), a display module (104), an alarm module (105) and a wireless transmission module (106), wherein the lithium battery data collection module (102), the storage module (103), the display module (104), the alarm module (105) and the wireless transmission module (106) are respectively and electrically connected with the control terminal (101), the control terminal (101) is in wireless communication with the monitoring computer (2) through the wireless transmission module (106), the central application server (3), the preprocessing server (4), the WEB server (5) and the database server (6) are respectively connected with the central application server (3), and the central application server (3) is used for receiving source data collected by the on-site collection and control module (1), the method comprises the steps of issuing and managing source data, comparing and analyzing the source data with a standard test threshold value, enabling a preprocessing server (4) to comprise an outlier algorithm, eliminating deviation observation values in the source data based on the outlier algorithm, calculating an observation data mean value of the source data except the deviation observation values, selecting a corresponding number of data values closest to the observation data mean value in the observation data according to a preset number of mean value data, calculating a secondary mean value of the number of data values, enabling a WEB server (5) to provide an online information browsing service, enabling a database server (6) to comprise a standard test threshold value, enabling the standard test threshold value to be provided for a central application server (3), storing and managing the source data and final data processed by the preprocessing server (4), enabling the central application server (3) to extract the standard test threshold value and judging whether the secondary mean value is within the standard test threshold value or not, to determine whether a data anomaly has occurred.
2. The lithium battery module safety monitoring and management system of claim 1, characterized in that: the control terminal (101) adopts an MCU of which the model is STM32F 103.
3. The lithium battery module safety monitoring and management system of claim 1, characterized in that: the lithium battery data acquisition module (102) acquires data including lithium battery capacity, internal resistance, open-circuit voltage, current and working temperature, and the measurement times of the lithium battery data acquisition module (102) are 20 times.
4. The lithium battery module safety monitoring and management system of claim 1, characterized in that: the alarm module (105) adopts an audible and visual alarm and is used for giving audible and visual alarms when data are abnormal.
5. The lithium battery module safety monitoring and management system of claim 1, characterized in that: the wireless transmission module (106) adopts one of GPRS/GSM/3G network, RS485 bus and optical fiber communication mode.
6. The lithium battery module safety monitoring and management system of claim 1, characterized in that: the outlier algorithm employs a Lauda criterion method.
7. The management method of the lithium battery module safety monitoring and management system according to any one of claims 1 to 6, characterized in that: the method comprises the following steps:
step S1, acquiring the capacity, internal resistance, open-circuit voltage, current and working temperature data of the lithium battery by the field acquisition and control module (1), wherein the acquisition frequency of each group of data is 20 times, forming source data, and transmitting the source data to the monitoring computer (2);
step S2, the central application server (3) receives the source data transmitted by the monitoring computer (2) and transmits the source data to the preprocessing server (4);
s3, the preprocessing server (4) eliminates the deviation observation value in the source data based on the outlier algorithm, calculates the observation data mean value of the source data except the deviation observation value, selects the corresponding number of data values closest to the observation data mean value in the observation data according to the preset number of mean value data, calculates the secondary mean value of the number of data values, and transmits the calculated secondary mean value to the central application server (3);
step S4, the central application server (3) extracts a standard test threshold value in the database server (6) and judges whether the secondary average value is within the standard test threshold value;
step S5, if the secondary mean value is within the standard test threshold value, the data is normal;
and step S6, if the secondary mean value is out of the standard test threshold value, the data is abnormal, and the data abnormal alarm signal is sent to the field acquisition and control module (1), and the field acquisition and control module (1) sends out an alarm according to the abnormal alarm signal.
8. The management method of the lithium battery module safety monitoring and management system according to claim 7, wherein: the observation data mean value comprises a battery capacity observation data mean value, an internal resistance observation data mean value, an open-circuit voltage observation data mean value, a current observation data mean value and a working temperature observation data mean value.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115391152A (en) * | 2022-10-27 | 2022-11-25 | 浙江数思信息技术有限公司 | Server state monitoring method and device based on Internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115391152A (en) * | 2022-10-27 | 2022-11-25 | 浙江数思信息技术有限公司 | Server state monitoring method and device based on Internet of things |
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