CN114552707B - Method and terminal for improving battery detection accuracy - Google Patents
Method and terminal for improving battery detection accuracy Download PDFInfo
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- CN114552707B CN114552707B CN202210134949.5A CN202210134949A CN114552707B CN 114552707 B CN114552707 B CN 114552707B CN 202210134949 A CN202210134949 A CN 202210134949A CN 114552707 B CN114552707 B CN 114552707B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [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]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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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
- 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
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Abstract
The invention discloses a method and a terminal for improving battery detection accuracy, which are used for judging whether the fluctuation of a collected sampling set exceeds a corresponding set fluctuation value or not, if so, not collecting the sampling set, and if not, collecting the sampling set. Therefore, the invention avoids the failure of battery detection caused by overlarge fluctuation by judging whether the set of the sampling voltage and the set of the sampling current exceed the set fluctuation value, if so, not acquiring the set of the sampling voltage and the set of the sampling current, and otherwise, acquiring the set of the sampling voltage and the set of the sampling current.
Description
Technical Field
The invention relates to the technical field of battery detection, in particular to a method and a terminal for improving battery detection accuracy.
Background
Due to the continuous reduction of traditional energy and the pollution to the environment, the utilization and development of new energy are advanced to a new level, so that the popularization rate of electric vehicles is higher and higher. Among them, the battery is a core component of an electric vehicle, and the state of health of the battery is particularly important, so that it is important to evaluate the safety of the vehicle to accurately obtain the state of health of the battery. However, in the prior art, the detection of the state of health of the battery is often inaccurate, and therefore, how to improve the accuracy of the battery detection becomes a focus of attention in the industry.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the terminal for improving the battery detection accuracy can avoid the influence of overlarge voltage fluctuation on the battery detection accuracy, thereby improving the battery detection accuracy.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for improving battery detection accuracy judges whether fluctuation of a collected electric signal sampling set exceeds a corresponding set fluctuation value, if so, the sampling set is not adopted, and if not, the sampling set is adopted to carry out battery health state detection.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a terminal for improving battery detection accuracy, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the following method:
and judging whether the fluctuation of the collected sampling set exceeds a corresponding set fluctuation value, if so, not collecting the sampling set, and if not, collecting the sampling set.
The invention has the beneficial effects that: the method judges whether the sampling set of the collected electric signals exceeds a set fluctuation value or not, if so, the current sampling set is not suitable for evaluating the health state of the battery, so that the sampling set of the electric signals is not collected, the influence on the accuracy of battery detection due to overlarge fluctuation in the collection process is avoided, if not, the current sampling set can be used for evaluating the health state of the battery, and therefore, the sampling set of the sampled electric signals is collected, the accuracy of battery detection is improved, if the overlarge fluctuation is found, the charging step is executed again, and the success rate of detection is greatly improved.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for improving the accuracy of battery testing according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for improving accuracy of battery detection according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal for improving battery detection accuracy according to an embodiment of the present invention.
Description of reference numerals:
1. a terminal for improving battery detection accuracy; 2. a processor; 3. a memory.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1 to 2, a method for improving battery detection accuracy determines whether a fluctuation of a collected electrical signal sampling set exceeds a corresponding set fluctuation value, if so, the sampling set is not received, and if not, the sampling set is received to perform battery health status detection.
As can be seen from the above description, the beneficial effects of the present invention are: the method judges whether the sampling set of the acquired electric signals exceeds a set fluctuation value or not, if so, the current sampling set is not suitable for evaluating the health state of the battery, so that the sampling set of the electric signals is not acquired, the influence on the accuracy of battery detection due to overlarge fluctuation in the acquisition process is avoided, and if not, the current sampling set can be used for evaluating the health state of the battery, so that the sampling set of the sampled electric signals is acquired, and the accuracy of battery detection is improved.
Further, the step of judging whether the fluctuation of the collected electric signal sampling set exceeds a corresponding set fluctuation value, if so, not collecting the sampling set, and if not, collecting the sampling set to detect the health state of the battery comprises the following steps:
the method comprises the following steps that S1, a vehicle is charged for a first set time period according to a first set current, the charging voltage in the first set time period is collected to serve as a first sampling set, the current from a first set current charging first time value to the end of the first set time period is collected to serve as a second sampling set, and the first set time period is larger than the first time value;
s2, charging the vehicle for a second set time period according to a second set current, collecting a charging voltage in the second set time period as a third sampling set, and collecting a current value from a second set current charging second time value to the end of the second set time period as a fourth sampling set, wherein the second set time period is greater than the second time value;
and S3, judging whether the fluctuation of the first sampling set exceeds a first set fluctuation, whether the fluctuation of the second sampling set exceeds a second set fluctuation, whether the fluctuation of the third sampling set exceeds a third set fluctuation, whether the fluctuation of the fourth sampling set exceeds a fourth set fluctuation, if the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set, and if the fluctuation of the fourth sampling set exceeds the third set fluctuation, not acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set.
As can be seen from the above description, since the battery internal resistance needs to be calculated as the state of health detection of the battery by the formula direct current internal resistance = (U2-U1)/(I2-I1), the fluctuation of the four collected values of the formula is detected to improve the success rate of the detection.
Further, the method also comprises the step S4:
and if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be adopted, the battery is charged according to the current required by the battery until the charging end condition is met, if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged not to be adopted, the steps S1-S3 are executed in a circulating mode until the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be adopted or the circulating times are larger than a set value, and then the battery is charged according to the current required by the battery until the charging end condition is met.
According to the above description, the method sets a certain number of times of cyclic judgment, avoids that the charging of the vehicle is slowed down due to repeated detection steps caused by current unsuitability for detection due to interference or other factors, and simultaneously considers improvement of the detection success rate and the charging time.
Further, the following method is adopted to calculate whether the sampling set exceeds the corresponding set fluctuation:
filtering out a maximum value part and a minimum value part of the set proportion of the sampling set to obtain N sampling values;
calculating an average value x of the N sampling values;
calculating the standard deviation S of the N data according to a standard deviation formula:
S＝sqrt(((x1-x)^2+(x2-x)^2+......(xn-x)^2)/n)；
wherein x1, x2 … … xn are the respective sample values; and judging whether the S/x is larger than the corresponding set fluctuation or not, if so, determining that the fluctuation of the sampling set exceeds the corresponding set fluctuation, and if not, determining that the fluctuation of the sampling set does not exceed the corresponding set fluctuation.
As can be seen from the above description, the calculation of the sample set fluctuation is achieved.
Further, when calculating in the step S3, the battery is charged according to the current required by the battery.
According to the above description, the battery is charged according to the current required by the battery during calculation, so that the influence on the battery charging during the cycle calculation is reduced.
Referring to fig. 3, a terminal for improving accuracy of battery detection includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the following method:
and judging whether the fluctuation of the acquired sampling set exceeds a corresponding set fluctuation value, if so, not collecting the sampling set, and if not, collecting the sampling set.
As can be seen from the above description, the beneficial effects of the present invention are: the method judges whether the sampling set of the acquired electric signals exceeds a set fluctuation value or not, if so, the current sampling set is not suitable for evaluating the health state of the battery, so that the sampling set of the electric signals is not acquired, the influence on the accuracy of battery detection due to overlarge fluctuation in the acquisition process is avoided, and if not, the current sampling set can be used for evaluating the health state of the battery, so that the sampling set of the sampled electric signals is acquired, and the accuracy of battery detection is improved.
Further, the step of judging whether the fluctuation of the collected electric signal sampling set exceeds a corresponding set fluctuation value, if so, not collecting the sampling set, and if not, collecting the sampling set to detect the health state of the battery comprises the following steps:
the method comprises the following steps that S1, a vehicle is charged for a first set time period according to a first set current, the charging voltage in the first set time period is collected to serve as a first sampling set, the current from a first set current charging first time value to the end of the first set time period is collected to serve as a second sampling set, and the first set time period is larger than the first time value;
s2, charging the vehicle for a second set time period according to a second set current, collecting charging voltage in the second set time period as a third sampling set, wherein the second set time period is longer than a second time value, and collecting a current value from the second set current charging second time value to the end of the second set time period as a fourth sampling set;
and S3, judging whether the fluctuation of the first sampling set exceeds a first set fluctuation, whether the fluctuation of the second sampling set exceeds a second set fluctuation, whether the fluctuation of the third sampling set exceeds a third set fluctuation, whether the fluctuation of the fourth sampling set exceeds a fourth set fluctuation, if the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set, and if the fluctuation of the fourth sampling set exceeds the third set fluctuation, not acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set.
As can be seen from the above description, since the battery internal resistance needs to be calculated as the state of health detection of the battery by the formula direct current internal resistance = (U2-U1)/(I2-I1), the fluctuation of the four collected values of the formula is detected to improve the success rate of the detection.
Further, the method also comprises the step S4:
and if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be adopted, the battery is charged according to the current required by the battery until the charging end condition is met, if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged not to be adopted, the steps S1-S3 are executed in a circulating mode until the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be adopted or the circulating times are larger than a set value, and then the battery is charged according to the current required by the battery until the charging end condition is met.
According to the above description, the method sets a certain number of cycle judgment times, avoids that the vehicle charging is slowed down due to repeated detection steps caused by current unsuitability for detection due to interference or other factors, and simultaneously considers the improvement of the detection success rate and the charging time.
Further, the following method is adopted to calculate whether the sampling set exceeds the corresponding set fluctuation:
filtering out the maximum value part and the minimum value part of the set proportion of the sampling set to obtain N sampling values;
calculating an average value x of the N sampling values;
calculating the standard deviation S of the N data according to a standard deviation formula:
S＝sqrt(((x1-x)^2+(x2-x)^2+......(xn-x)^2)/n)；
wherein x1, x2 … … xn are the respective sample values; and judging whether the S/x is larger than the corresponding set fluctuation or not, if so, determining that the fluctuation of the sampling set exceeds the corresponding set fluctuation, and if not, determining that the fluctuation of the sampling set does not exceed the corresponding set fluctuation.
As can be seen from the above description, the calculation of the sample set fluctuation is achieved.
Further, when calculating in the step S3, the battery is charged according to the current required by the battery.
According to the above description, the battery is charged according to the current required by the battery during calculation, so that the influence on the battery charging during the cycle calculation is reduced.
The method and the terminal for improving the battery detection accuracy are used for avoiding the influence of voltage fluctuation on the detection accuracy when the battery is detected, for example, the battery of an electric automobile is detected in the field of electric automobiles.
Referring to fig. 1-2, a first embodiment of the present invention is:
a method of improving battery detection accuracy, comprising the steps of:
the method comprises the following steps of S1, charging a vehicle for a first set time period according to a first set current, collecting charging voltage in the first set time period as a first sampling set, collecting current from a first set current charging time value to the end of the first set time period as a second sampling set, wherein the first set time period is greater than the first time value.
In this embodiment, the first time value is specifically 10S, and the first setting current is one tenth of a battery demand current. Namely, the vehicle is charged with constant current for a first set time period t1 according to 0.1 × battery demand current, the current in 10 s-t 1 is collected, and the voltage in 0-t 1 is collected.
And S2, charging the vehicle for a second set time period according to a second set current, collecting the charging voltage in the second set time period as a third sampling set, and collecting a current value from a second set current charging time value to the end of the second set time period as a fourth sampling set, wherein the second set time period is greater than the second time value.
In this embodiment, the second time value is specifically 10S, and the second setting current is a battery demand current. Namely, the vehicle is charged with constant current for a second set time period t2 according to the current required by the battery, the current within 10 s-t 2 is collected, and the voltage within 0-t 2 is collected.
And S3, judging whether the fluctuation of the first sampling set exceeds a first set fluctuation, whether the fluctuation of the second sampling set exceeds a second set fluctuation, whether the fluctuation of the third sampling set exceeds a third set fluctuation, whether the fluctuation of the fourth sampling set exceeds a fourth set fluctuation, if the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set, and if the fluctuation of the fourth sampling set exceeds the third set fluctuation, not acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set.
Specifically, in the present embodiment, the first setting fluctuation, the second setting fluctuation, the third setting fluctuation, and the fourth setting fluctuation are all 5%. That is, it is determined whether the current fluctuation is less than 5% from 10 to t1 in step S1, the voltage fluctuation is less than 5% from 0 to t1, the current fluctuation is less than 5% from 10 to t2 in step S2, and the voltage fluctuation is less than 5% from 0 to t 2.
Further, for calculating whether the first sampling set, the second sampling set, the third sampling set and the fourth sampling set exceed the corresponding set fluctuation, the following method is adopted for calculation:
filtering out a maximum value part and a minimum value part of the set proportion of the sampling set to obtain N sampling values, wherein in the embodiment, the set proportion is 5%;
calculating an average value x of the N sampling values;
calculating the standard deviation S of the N data according to a standard deviation formula:
S＝sqrt(((x1-x)^2+(x2-x)^2+......(xn-x)^2)/n)；
wherein x1, x2 … … xn are the respective sample values; and judging whether the S/x is larger than the corresponding set fluctuation or not, if so, determining that the fluctuation of the sampling set exceeds the corresponding set fluctuation, and if not, determining that the fluctuation of the sampling set does not exceed the corresponding set fluctuation.
And when the calculation is carried out in the step S3, the battery is charged according to the current required by the battery.
The embodiment is specifically used for detecting the battery of the electric automobile during charging, and further comprises a step S4 of charging the battery to meet a charging end condition according to the current required by the battery if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be informed, and circularly executing the steps S1-S3 until the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be not informed or the number of circulation times is greater than a set value if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be not informed, and then charging the battery to meet the charging end condition according to the current required by the battery.
And if the set value is three times, namely the detection result of three times of circulation does not meet the requirement, directly charging the vehicle according to the current required by the battery. The invention discloses a method for detecting the direct current internal resistance of a vehicle, which comprises the steps of calculating the direct current internal resistance according to data after charging is finished, judging the current and voltage stability when charging is carried out by using a first set current and a second set current, re-executing the charging steps of the first set current and the second set current if the charging is fluctuated, greatly improving the success rate of detection, setting the circulating judgment times, avoiding the problem that the charging of the vehicle is slowed down because the detection is not suitable for detection at present due to interference or other factors, and simultaneously considering the improvement of the detection success rate and the charging time.
Referring to fig. 3, a second embodiment of the invention is:
a terminal 1 for improving battery detection accuracy comprises a memory 3, a processor 2 and a computer program stored on the memory 3 and capable of running on the processor 2, wherein the processor 2 realizes the steps of the first embodiment when executing the computer program.
In summary, according to the method and the terminal for improving the battery detection accuracy provided by the invention, whether the sampling set of the acquired electrical signal exceeds the set fluctuation value is judged, and if the sampling set of the acquired electrical signal exceeds the set fluctuation value, the current sampling set is not suitable for evaluating the health state of the battery, so that the sampling set of the electrical signal is not informed, the influence of overlarge fluctuation in the acquisition process on the battery detection accuracy is avoided, and if the sampling set of the electrical signal does not exceed the set fluctuation value, the current sampling set can be used for evaluating the health state of the battery, so that the sampling set of the sampled electrical signal is informed, and the battery detection accuracy is improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (6)
1. A method for improving battery detection accuracy is characterized in that whether the fluctuation of a collected electric signal sampling set exceeds a corresponding set fluctuation value or not is judged, if so, the sampling set is not adopted, and if not, the sampling set is adopted to carry out battery health state detection;
the step of judging whether the fluctuation of the collected electric signal sampling set exceeds a corresponding set fluctuation value or not, if so, not collecting the sampling set, and if not, collecting the sampling set to detect the health state of the battery comprises the following steps:
the method comprises the following steps that S1, a vehicle is charged for a first set time period according to a first set current, the charging voltage in the first set time period is collected to serve as a first sampling set, the current from a first set current charging first time value to the end of the first set time period is collected to serve as a second sampling set, and the first set time period is larger than the first time value;
s2, charging the vehicle for a second set time period according to a second set current, collecting the charging voltage in the second set time period as a third sampling set, wherein the second set time period is longer than a second time value, and collecting a current value from the second set current charging second time value to the end of the second set time period as a fourth sampling set;
s3, judging whether the fluctuation of the first sampling set exceeds a first set fluctuation, whether the fluctuation of the second sampling set exceeds a second set fluctuation, whether the fluctuation of the third sampling set exceeds a third set fluctuation, whether the fluctuation of the fourth sampling set exceeds a fourth set fluctuation, if the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set, and if one of the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, not acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set;
the method also comprises a step S4:
and if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be informed, the battery is charged according to the current required by the battery until the charging end condition is met, if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged not to be informed, the steps S1-S3 are executed in a circulating mode until the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be informed or the circulating times are larger than a set value, and then the battery is charged according to the current required by the battery until the charging end condition is met.
2. The method of claim 1, wherein the following method is used to calculate whether the sample set exceeds the corresponding set fluctuation:
filtering out a maximum value part and a minimum value part of the set proportion of the sampling set to obtain N sampling values;
calculating an average value x of the N sampling values;
calculating the standard deviation S of the N data according to a standard deviation formula:
S＝sqrt(((x1-x)^2+(x2-x)^2+......(xn-x)^2)/n)；
wherein x1, x2 … … xn are the respective sample values; and judging whether the S/x is larger than the corresponding set fluctuation or not, if so, determining that the fluctuation of the sampling set exceeds the corresponding set fluctuation, and if not, determining that the fluctuation of the sampling set does not exceed the corresponding set fluctuation.
3. The method of claim 1, wherein the battery is charged according to the required current of the battery when calculating in step S3.
4. A terminal for improving battery detection accuracy, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the following method:
judging whether the fluctuation of the collected electric signal sampling set exceeds a corresponding set fluctuation value or not, if so, not collecting the sampling set, and if not, collecting the sampling set to detect the health state of the battery;
the method comprises the following steps of judging whether the fluctuation of an acquired electric signal sampling set exceeds a corresponding set fluctuation value, if so, not acquiring a signal of the sampling set, and if not, acquiring a signal of the sampling set to detect the health state of the battery, wherein the method specifically comprises the following steps:
the method comprises the following steps of S1, charging a vehicle for a first set time period according to a first set current, collecting charging voltage within the first set time period as a first sampling set, and collecting current from a first set current charging time value to the end of the first set time period as a second sampling set, wherein the first set time period is greater than a first time value;
s2, charging the vehicle for a second set time period according to a second set current, collecting the charging voltage in the second set time period as a third sampling set, wherein the second set time period is longer than a second time value, and collecting a current value from the second set current charging second time value to the end of the second set time period as a fourth sampling set;
s3, judging whether the fluctuation of the first sampling set exceeds a first set fluctuation, whether the fluctuation of the second sampling set exceeds a second set fluctuation, whether the fluctuation of the third sampling set exceeds a third set fluctuation and whether the fluctuation of the fourth sampling set exceeds a fourth set fluctuation, if the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, otherwise, acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set, and if one of the fluctuation of the fourth sampling set exceeds the fourth set fluctuation, not acquiring the first sampling set, the second sampling set, the third sampling set and the fourth sampling set;
the method also comprises the step S4:
and if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be informed, the battery is charged according to the current required by the battery until the charging end condition is met, if the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged not to be informed, the steps S1-S3 are executed in a circulating mode until the first sampling set, the second sampling set, the third sampling set and the fourth sampling set are judged to be informed or the circulating times are larger than a set value, and then the battery is charged according to the current required by the battery until the charging end condition is met.
5. The terminal for improving the battery detection accuracy according to claim 4, wherein the following method is adopted to calculate whether the sampling set exceeds the corresponding set fluctuation:
filtering out the maximum value part and the minimum value part of the set proportion of the sampling set to obtain N sampling values;
calculating an average value x of the N sampling values;
calculating the standard deviation S of the N data according to a standard deviation formula:
S＝sqrt(((x1-x)^2+(x2-x)^2+......(xn-x)^2)/n)；
wherein x1, x2 … … xn are the respective sample values; and judging whether the S/x is larger than the corresponding set fluctuation or not, if so, determining that the fluctuation of the sampling set exceeds the corresponding set fluctuation, and if not, determining that the fluctuation of the sampling set does not exceed the corresponding set fluctuation.
6. The terminal of claim 4, wherein the battery is charged according to the required current of the battery when the calculation of step S3 is performed.
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| CN202210134949.5A CN114552707B (en) | 2022-02-14 | 2022-02-14 | Method and terminal for improving battery detection accuracy |
| PCT/CN2022/077420 WO2023151125A1 (en) | 2022-02-14 | 2022-02-23 | Method and terminal for improving battery test accuracy |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107167690A (en) * | 2017-05-15 | 2017-09-15 | 湖南利能科技股份有限公司 | A kind of voltage acquisition system for battery pack broken thread detector and method |
| CN111257774A (en) * | 2020-01-21 | 2020-06-09 | 福建时代星云科技有限公司 | Method and system for detecting direct current impedance of electric automobile |
| CN111948555A (en) * | 2020-07-30 | 2020-11-17 | 华帝股份有限公司 | Anti-fluctuation battery electric quantity detection method and device |
| CN111948557A (en) * | 2020-07-30 | 2020-11-17 | 华帝股份有限公司 | Method and device for detecting electric quantity of battery |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6875866B2 (en) * | 2017-01-20 | 2021-05-26 | 矢崎総業株式会社 | Battery status detector |
-
2022
- 2022-02-14 CN CN202210134949.5A patent/CN114552707B/en active Active
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107167690A (en) * | 2017-05-15 | 2017-09-15 | 湖南利能科技股份有限公司 | A kind of voltage acquisition system for battery pack broken thread detector and method |
| CN111257774A (en) * | 2020-01-21 | 2020-06-09 | 福建时代星云科技有限公司 | Method and system for detecting direct current impedance of electric automobile |
| CN111948555A (en) * | 2020-07-30 | 2020-11-17 | 华帝股份有限公司 | Anti-fluctuation battery electric quantity detection method and device |
| CN111948557A (en) * | 2020-07-30 | 2020-11-17 | 华帝股份有限公司 | Method and device for detecting electric quantity of battery |
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| CN114552707A (en) | 2022-05-27 |
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