CN108287320A - A kind of battery capacity inspection optimization method - Google Patents
A kind of battery capacity inspection optimization method Download PDFInfo
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- CN108287320A CN108287320A CN201810102988.0A CN201810102988A CN108287320A CN 108287320 A CN108287320 A CN 108287320A CN 201810102988 A CN201810102988 A CN 201810102988A CN 108287320 A CN108287320 A CN 108287320A
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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
Abstract
The present invention discloses a kind of battery capacity inspection optimization method, includes the following steps：Obtain the voltage data of one group of battery；The voltage data of acquisition is averaging；Calculate the corresponding standard deviation σ of battery；The voltage data of acquisition is compared with the average voltage level u of calculating, obtains one group of numerical value set Y；By the numerical value in numerical value set Y, standard deviation σ corresponding with battery is compared respectively, obtains one group of new numerical value set X '；Logarithm value set X ' is averaging, and obtains numerical value z.Electric power detection optimization method provided by the invention, by collected battery voltage data is referred both to and standard deviation calculate, retain the battery voltage data of collected stabilization, give up the big battery voltage data of transient changing, the low phenomenon of voltage detecting accuracy caused by effectively to solve cell voltage mutation, have the characteristics that detection is easy, be easily achieved, substantially increases the accuracy of electric power detection.
Description
Technical field
The invention belongs to battery capacity detection technique fields, are related to a kind of battery capacity inspection optimization method.
Background technology
In protection and monitor field, generally security device is powered using lithium battery, equipment needs the residue to battery
Electricity is detected in real time, once the battery capacity in equipment is insufficient, will be influenced the normal work of equipment, is jeopardized user's
Safety.
Electricity in battery is due to unstable, and during electric power detection, the accuracy that there is detection electricity is poor, and mesh
There are mainly three types of the methods that the preceding remaining capacity to battery is detected, and one is voltage detecting methods, and one is Coulomb meter detections
Method, one is fuel cell modelling method, in these three methods, the accuracy of detection of Coulomb meter detection method and fuel cell modelling method is higher, still
Cost is also relatively high, and traditional voltage detecting method cost is although low, but electrical measurement precision is not high, and especially battery capacity is low
When 50%, the transient changing of cell voltage is larger, and electricity calculating becomes very inaccurate, in order to improve battery capacity detection
Accuracy now designs a kind of battery capacity inspection optimization method.
Invention content
The purpose of the present invention is to provide a kind of battery capacity inspection optimization methods, solve battery in existing security device
The detection precision difference of electricity and problem of high cost.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of battery capacity inspection optimization method, includes the following steps：
S1, the real-time voltage data for obtaining one group of battery, obtain voltage set X={ x1, x2 ..., xN }；
S2, the voltage data of acquisition is averaging, obtains average voltage level u；
S3, according to the average voltage level u of battery in one group of battery, calculate the corresponding standard deviation σ of battery；
S4, the voltage data obtained in step S1 is compared with the average voltage level u calculated in step S2, and will
To comparison take absolute value, obtain one group of numerical value set Y={ y1, y2 ..., yN }；
S5, by the mark corresponding with battery respectively of the numerical value in the numerical value set Y=obtained in step S4 { y1, y2 ..., yN }
Quasi- difference value σ is compared, if numerical value yi is more than standard deviation σ, the corresponding cell voltage xi of numerical value yi are abandoned, if
Numerical value yi is less than standard deviation σ, then retains the corresponding cell voltage xi of numerical value yi, obtain one group of new set of values
Conjunction X '=x1 ', x2 ' ..., xN ' }；
S6, the numerical value set X ' new to one group in step S5 are averaging, and obtain numerical value z, and numerical value z is the voltage of battery.
Further, in the step S2 battery average voltage level u=(x1+x2+...+xN)/N, xN be n-th inspection
The corresponding voltage value of battery of survey, N are more than 1 and are integer.
Further, the corresponding standard deviation of real-time voltage data of the one group of battery obtained in the step S3 isWherein, xi is the corresponding voltage value of battery of ith detection.
Further, numerical value set Y={ y1, y2 ..., yN } passes through yi=in the step S4 | xi- μ | it obtains.
Beneficial effects of the present invention：
Electric power detection optimization method provided by the invention, by being referred both to collected battery voltage data and standard
Difference calculates, and retains the battery voltage data of collected stabilization, gives up the big battery voltage data of transient changing, effectively to solve
The low phenomenon of voltage detecting accuracy caused by cell voltage is mutated has the characteristics that detection is easy, is easily achieved, greatly improves
The accuracy of electric power detection.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of battery capacity inspection optimization method of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of battery capacity inspection optimization method, include the following steps：
S1, the real-time voltage data for obtaining one group of battery, obtain voltage set X={ x1, x2 ..., xN }, wherein N>=
1 and N is integer；
S2, the voltage data of acquisition is averaging, obtains average voltage level u, wherein average voltage level u=(x1+
x2+...+xN)/N；
S3, according to the average voltage level u of battery in one group of battery, calculate battery corresponding standard deviation σ, σ meet with
Lower formula,
S4, the voltage data obtained in step S1 is compared with the average voltage level u calculated in step S2, and will
To comparison take absolute value, obtain one group of numerical value set Y={ y1, y2 ..., yN }, wherein yi=| xi- μ |, i ∈ N and i are whole
Number；
S5, by the mark corresponding with battery respectively of the numerical value in the numerical value set Y=obtained in step S4 { y1, y2 ..., yN }
Quasi- difference value σ is compared, if numerical value yi is more than standard deviation σ, the corresponding cell voltage xi of numerical value yi are abandoned, if
Numerical value yi is less than standard deviation σ, then retains the corresponding cell voltage xi of numerical value yi, obtain one group of new set of values
Conjunction X '=x1 ', x2 ' ..., xN ' }；
S6, the numerical value set X ' new to one group in step S5 are averaging, and obtain numerical value z, and numerical value z is the voltage of battery.
Wherein, numerical value z=(x1 '+x2 '+...+xN ')/N ', N '<=N and N ' are integer.
By carrying out repeated detection to the voltage in one group of battery, and the voltage of detection is averaging and is calculated electricity
The standard deviation of cell voltage judges the dispersion degree of virtual voltage of the cell voltage of detection apart from battery according to standard deviation, will examine
The cell voltage of survey is compared with average voltage, and the difference compared and standard deviation are compared, and retains the cell voltage of detection
It is less than the battery voltage data of standard deviation with the absolute value compared with average voltage, is finally asked according to the battery voltage data of reservation
It is average, obtain the voltage of battery.
Electric power detection optimization method provided by the invention, by being referred both to collected battery voltage data and standard
Difference calculates, and retains the battery voltage data of collected stabilization, gives up the big battery voltage data of transient changing, effectively to solve
The low phenomenon of voltage detecting accuracy caused by cell voltage is mutated has the characteristics that detection is easy, is easily achieved, greatly improves
The accuracy of electric power detection.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or substitutes by a similar method, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (4)
1. a kind of battery capacity inspection optimization method, which is characterized in that include the following steps：
S1, the real-time voltage data for obtaining one group of battery, obtain voltage set X={ x1, x2 ..., xN }；
S2, the voltage data of acquisition is averaging, obtains average voltage level u；
S3, according to the average voltage level u of battery in one group of battery, calculate the corresponding standard deviation σ of battery；
S4, the voltage data obtained in step S1 is compared with the average voltage level u calculated in step S2, and will obtained
Compare and take absolute value, obtains one group of numerical value set Y={ y1, y2 ..., yN }；
S5, by the standard deviation corresponding with battery respectively of the numerical value in the numerical value set Y=obtained in step S4 { y1, y2 ..., yN }
Numerical value σ is compared, if numerical value yi is more than standard deviation σ, the corresponding cell voltage xi of numerical value yi is abandoned, if numerical value
Yi is less than standard deviation σ, then retains the corresponding cell voltage xi of numerical value yi, obtain one group of new numerical value set X '
=x1 ', x2 ' ..., xN ' }；
S6, the numerical value set X ' new to one group in step S5 are averaging, and obtain numerical value z, and numerical value z is the voltage of battery.
2. a kind of battery capacity inspection optimization method according to claim 1, it is characterised in that：Battery in the step S2
Average voltage level u=(x1+x2+...+xN)/N, xN is the corresponding voltage value of battery of n-th detection, and N is more than 1 and to be whole
Number.
3. a kind of battery capacity inspection optimization method according to claim 1, it is characterised in that：It is obtained in the step S3
The corresponding standard deviation of real-time voltage data of one group of battery beWherein, xi detects for ith
The corresponding voltage value of battery.
4. a kind of battery capacity inspection optimization method according to claim 1, it is characterised in that：Numerical value in the step S4
Set Y=y1, y2 ..., and yN } pass through yi=| xi- μ | it obtains.
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Cited By (5)
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| CN109031148A (en) * | 2018-08-27 | 2018-12-18 | 江苏盖睿健康科技有限公司 | Battery electricity detection method and system |
| CN109799379A (en) * | 2019-01-11 | 2019-05-24 | 厦门南鹏物联科技有限公司 | Method for measuring charged, charging detection device and socket |
| CN111220917A (en) * | 2019-11-29 | 2020-06-02 | 歌尔股份有限公司 | Earphone battery voltage detection method, system, equipment and computer medium |
| 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 |
| CN112305435A (en) * | 2020-10-13 | 2021-02-02 | 华帝股份有限公司 | Battery electric quantity detection method and system |
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| CN112305435A (en) * | 2020-10-13 | 2021-02-02 | 华帝股份有限公司 | Battery electric quantity detection method and system |
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Application publication date: 20180717 |