CN110988721B - Lithium battery pack software protection board SOC precision detection method - Google Patents
Lithium battery pack software protection board SOC precision detection method Download PDFInfo
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- CN110988721B CN110988721B CN201911164295.5A CN201911164295A CN110988721B CN 110988721 B CN110988721 B CN 110988721B CN 201911164295 A CN201911164295 A CN 201911164295A CN 110988721 B CN110988721 B CN 110988721B
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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
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- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a lithium battery package software protection board SOC precision detection method, which comprises the following steps: the device comprises a lithium battery charge and discharge tester, a lithium battery pack with a software protection board, a PC upper computer, a USB-to-232 serial port adapter and a USB-to-485 adapter; the detection method comprises the following steps: s1: standing the battery, and keeping the voltage and the performance stable; s2: setting parameters of a charge-discharge tester to start discharge; s3: reading the SOC value of the current software board as an SOC initial value; s4: and the PC upper computer calculates a real-time SOC method according to the AH integral value read by the charge and discharge tester. According to the scheme, the AH integral value is monitored in real time in the charging and discharging process, the current SOC is calculated through the rated capacity, the SOC time-varying curve is fitted, and the current SOC is compared with the SOC read out by the software protection board in real time, so that the SOC precision problem of the software protection board can be found in time.
Description
Technical Field
The invention relates to a lithium battery package software protection board SOC precision detection method, and belongs to the technical field of lithium batteries.
Background
At present, the lithium battery is widely applied to small-sized energy storage application scenes such as two wheels, three wheels and the like. Compared with lead acid batteries, lithium batteries have the advantages of high energy density, small volume, high charge and discharge cycle times and the like, and lithium batteries have been a trend to replace lead acid. For safety of lithium battery, each lithium battery pack must be equipped with a protection plate to monitor and protect the voltage and current of the lithium battery. The battery pack is prevented from being charged and discharged continuously in abnormal conditions such as over-current, over-voltage, over-temperature, under-voltage, excessive pressure difference of the single body and the like in the charging and discharging process of the battery pack, and accidents are avoided. The lithium battery pack protection board is generally divided into two types of hardware protection boards and software protection boards, wherein the protection parameters of the hardware version protection boards are completely solidified in the sampling control chip, and the hardware version protection boards do not have the function of external communication; the software protection board comprises a front-end acquisition chip and a singlechip for acquiring data and communicating with the outside, and the singlechip program can also calculate the SOC of the battery according to the acquired voltage and current values.
The SOC calculation precision of the protection board of the current software version is usually within 5%, but whether the SOC of the battery capacity is completely within the precision in the whole charge and discharge process is often ignored by a charge and discharge test, and once the SOC precision is jumped or excessively deviated in the charge and discharge process, the practical use of a user is confused. In summary, the disadvantages of the prior art are: in the charge and discharge test of the small-sized energy storage battery pack, real-time measurement of the SOC precision is not performed, and even if the charge and discharge process is abnormal, the SOC precision is often not captured. For this purpose, a corresponding technical solution needs to be designed to solve.
Disclosure of Invention
The invention provides a method for detecting the precision of an SOC of a software protection plate of a lithium battery pack, which is characterized in that an AH integral value is monitored in real time in the charging and discharging process, the current SOC is calculated through a rated capacity, an SOC time-varying curve is fitted, and the current SOC is compared with the SOC read out by the software protection plate in real time, so that the problem of the precision of the SOC of the software protection plate can be found in time.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
a lithium battery pack software protection board SOC precision detection method comprises the following steps: the device comprises a lithium battery charge and discharge tester, a lithium battery pack with a software protection board, a PC upper computer, a USB-to-232 serial port adapter and a USB-to-485 adapter;
the detection method comprises the following steps:
s1: standing the battery, and keeping the voltage and the performance stable;
s2: setting parameters of a charge-discharge tester to start discharge;
s21: the PC upper computer is connected with the lithium battery charge and discharge tester through the USB-232 serial port adapter, the AH integral value is read out through the serial port of the lithium battery charge and discharge tester, the program of the PC upper computer obtains the SOC value under ideal state through AH integral and rated capacity percentage, and the value can be drawn into a SOC and time correlation curve;
s22: the PC upper computer is connected with a 485 interface of the lithium battery pack with the software protection board through a USB-to-485 adapter, and is compared with the SOC value read out from the lithium battery pack with the software protection board, so that another curve of SOC versus time can be drawn;
s3: reading the SOC value of the current software board as an SOC initial value;
s4: and the PC upper computer calculates a real-time SOC method according to the AH integral value read by the charge and discharge tester: the method comprises the following steps:
s41: in the discharging test process, assuming that the initial value of SOC read from a battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the discharging process is A1, the actual SOC value is S1= (A (1-S) -A1)/A100%, and the difference value between the actual SOC value S2 and the read SOC precision is S1-S2;
s42: in the charging test process, assuming that the initial value of SOC read from the battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the charging process is A1, the actual SOC value is S1= (A (1-S) +A1)/A100%, and the difference between the actually measured SOC value S2 and the read SOC precision is S1-S2.
Compared with the prior art, the invention has the following implementation effects:
(1) In the charge and discharge test process of the lithium battery pack, the AH integral value of the charge and discharge tester and the SOC of the software protection board are read through the upper computer software, and then the real-time calculation is carried out through a formula, so that the implementation scheme is simple.
(2) According to the invention, by measuring the SOC in real time, not only the SOC measurement precision of the software protection board per se can be verified, but also the capacity error of the battery pack per se can be verified, because the actual output AH integral of the battery pack is influenced by the factors such as the electric connection of the battery pack, the length of the wire harness and the like, the actual output capacity of the battery pack is possibly smaller than the rated capacity.
Drawings
FIG. 1 is a schematic diagram of a principal frame of the present invention;
FIG. 2 is a flow chart of the detection method of the present invention.
Detailed Description
The present invention will be described below with reference to specific examples.
At present, real-time measurement of SOC precision is not performed in a small-sized energy storage battery pack charge and discharge test, and even if an abnormality occurs in the charge and discharge process, the SOC precision is often not captured.
The connection of the invention is shown in figure 1: for the charge and discharge test of a small-sized energy storage battery pack, a charge and discharge tester is generally used for charging and discharging the battery pack, and the charge and discharge tester can detect charge and discharge current and calculate AH integral in real time.
The PC upper computer is connected with the charge and discharge tester through the USB-232 serial port adapter, so that an AH integral value can be read out through a serial port of the charge and discharge tester, and a program of the upper computer obtains an SOC value under an ideal state through AH integral and rated capacity percentage calculation, and the value can be drawn into a curve related to SOC and time.
The PC upper computer is connected with a 485 interface of the battery pack through a USB-to-485 adapter, and is compared with the SOC value read from the battery pack software protection board, so that another curve of the SOC versus time can be drawn.
As shown in fig. 2: the discharge test procedure is similar to the charge test procedure.
The PC upper computer calculates a real-time SOC method according to the AH integral value read by the charge and discharge tester, and the method is as follows:
in the discharging test process, assuming that the initial value of SOC read from the battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the discharging process is A1, the actual SOC value is S1= (A (1-S) -A1)/A100%, and the difference value between the actually measured SOC value S2 and the read SOC precision is S1-S2.
In the charging test process, assuming that the initial value of SOC read from the battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the charging process is A1, the actual SOC value is S1= (A (1-S) +A1)/A100%, and the difference between the actually measured SOC value S2 and the read SOC precision is S1-S2.
In the charge and discharge test process of the lithium battery pack, the AH integral value of the charge and discharge tester and the SOC of the software protection board are read through the upper computer software, and then the real-time calculation is carried out through a formula, so that the implementation scheme is simple.
In addition, by measuring the SOC in real time, the invention can verify the SOC measurement precision of the software protection board, and can also verify the capacity error of the battery pack, because the actual output AH integral of the battery pack is influenced by the factors such as the electrical connection of the battery pack, the length of the wire harness and the like, the actual output capacity of the battery pack is possibly smaller than the rated capacity.
The foregoing is a detailed description of the invention with reference to specific embodiments, and is not intended to limit the practice of the invention to those descriptions. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (2)
1. A lithium battery pack software protection board SOC precision detection method is characterized in that: comprising the following steps: the device comprises a lithium battery charge and discharge tester, a lithium battery pack with a software protection board, a PC upper computer, a USB-to-232 serial port adapter and a USB-to-485 adapter;
the detection method comprises the following steps:
s1: standing the battery, and keeping the voltage and the performance stable;
s2: setting parameters of a charge-discharge tester to start discharge;
s21: the PC upper computer is connected with the lithium battery charge and discharge tester through the USB-232 serial port adapter, the AH integral value is read out through the serial port of the lithium battery charge and discharge tester, the program of the PC upper computer obtains the SOC value under ideal state through AH integral and rated capacity percentage, and the value can be drawn into a SOC and time correlation curve;
s22: the PC upper computer is connected with a 485 interface of the lithium battery pack with the software protection board through a USB-to-485 adapter, and is compared with the SOC value read out from the lithium battery pack with the software protection board, so that another curve of SOC versus time can be drawn;
s3: reading the SOC value of the current software board as an SOC initial value;
s4: the PC upper computer calculates a real-time SOC method according to the AH integral value read by the charge and discharge tester;
the real-time SOC method in S4 is as follows:
s41: in the discharging test process, assuming that the initial value of SOC read from a battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the discharging process is A1, the actual SOC value is S1= (A (1-S) -A1)/A100%, and the difference value between the actual SOC value S2 and the read SOC precision is S1-S2;
s42: in the charging test process, assuming that the initial value of SOC read from the battery pack software protection board is S, the rated AH capacity of the battery pack is A, the real-time AH integral value read in the charging process is A1, the actual SOC value is S1= (A (1-S) +A1)/A100%, and the difference between the actually measured SOC value S2 and the read SOC precision is S1-S2.
2. The method for detecting the SOC precision of the lithium battery pack software protection plate according to claim 1, which is characterized by comprising the following steps: the charge and discharge test of the small-sized energy storage battery pack is to charge and discharge the battery pack by adopting a charge and discharge tester, and the charge and discharge tester can detect charge and discharge current and calculate AH integral in real time.
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| CN105974323B (en) * | 2016-05-09 | 2019-04-12 | 深圳市鑫成泰科技有限公司 | A kind of algorithm model improving electric car SOC estimation precision |
| CN106199479B (en) * | 2016-07-18 | 2019-04-05 | 北京长城华冠汽车科技股份有限公司 | Battery module of electric vehicle BMS detection accuracy calibrating installation and method |
| CN109061477B (en) * | 2018-06-12 | 2021-03-26 | 清华大学深圳研究生院 | Verification and evaluation method and device for battery SOC estimation algorithm |
| CN108931739A (en) * | 2018-08-24 | 2018-12-04 | 智车优行科技（上海）有限公司 | The determination method, apparatus and automobile of battery system SOC estimation error |
| CN110231567A (en) * | 2019-07-16 | 2019-09-13 | 奇瑞新能源汽车股份有限公司 | A kind of electric car SOC estimating algorithm |
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| CN207719826U (en) * | 2017-09-18 | 2018-08-10 | 深圳市沃特玛电池有限公司 | High-precision SOC predictions and display alarm integrating device |
| CN110441703A (en) * | 2019-09-07 | 2019-11-12 | 深圳市凯德旺科技有限公司 | A kind of evaluation method and its detection system of the lithium battery SOC of mobile charging system |
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