CN103234579A - Data processing method for online detection of energy storage battery parameters - Google Patents
Data processing method for online detection of energy storage battery parameters Download PDFInfo
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- CN103234579A CN103234579A CN201310105505XA CN201310105505A CN103234579A CN 103234579 A CN103234579 A CN 103234579A CN 201310105505X A CN201310105505X A CN 201310105505XA CN 201310105505 A CN201310105505 A CN 201310105505A CN 103234579 A CN103234579 A CN 103234579A
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Abstract
A data processing method for online detection of energy storage battery parameters includes: sampling at least groups of temperature, humidity and voltage and data of current storage batteries; respectively calculating current energy storage battery temperature, current energy storage battery humidity, current energy storage battery voltage, and current energy storage battery current. The method is simple and is easy to implement, and interference resistance is enhanced and signal-to-noise ratio is increased during online detection of energy storage battery parameters.
Description
Technical field
The present invention relates to the data processing method of the online detection of a kind of energy-storage battery parameter.
Background technology
Mass-memory unit mainly adopts energy-storage battery in the intelligent grid.Because energy-storage battery is the key equipment of intelligent grid, electric current, voltage, temperature, the humidity that must detect every batteries in charging and the necessary on-line synchronous in service real-time (100us) of high-voltage great-current, the work of guaranteeing is unified, and is stable.This class technology is called for short the BMS technology.
The total energy storage device of electrical network can reach 1.3 hundred million kilowatts at the bottom of estimating the year two thousand twenty, can fill up the gap between electricity consumption maximum load and the average load like this, if the hypothesis energy-storage battery accounts for total energy storage device proportion 10%, the year two thousand twenty end China energy-storage battery total volume can arrive 13000MW so.National grid will be in the bid 7.50MW of Zhangbei County battery energy storage project in 2010.
At present, because it is a lot of that the data of the online detection of energy-storage battery parameter are handled defective, thereby make the online detection of energy-storage battery parameter be easy to be interfered.
Summary of the invention
The data processing method of the online detection of a kind of energy-storage battery parameter provided by the invention is simple and be easy to realize that the online detection antijamming capability of energy-storage battery parameter strengthens, signal to noise ratio (S/N ratio) improves thereby make.
In order to achieve the above object, the invention provides
The invention has the beneficial effects as follows: simple and be easy to realize that the online detection antijamming capability of energy-storage battery parameter strengthens, signal to noise ratio (S/N ratio) improves thereby make, and has high practicality.
Embodiment
Below specify preferred embodiment of the present invention.
The invention provides the data processing method of the online detection of a kind of energy-storage battery parameter, the method includes the steps of:
Step 1, sampling at least three group energy-storage battery data, every group of data are respectively temperature T
k, humidity S
k, voltage V
kAnd electric current I
k, k represents the k time collection, and k is positive integer;
Step 2, the current energy-storage battery temperature value T of calculating:
T=T
n*0.7+?T
n-1*0.2+?T
n-2*0.1；
T
nBe the temperature of this collection, T
N-1Be the temperature of last time gathering, T
N-2Be the temperature of last time gathering again, n 〉=3 and be positive integer;
Step 3, the current energy-storage battery humidity value S of calculating:
S=S
n*0.7+?S
n-1*0.2+?S
n-2*0.1；
S
nBe the humidity of this collection, S
N-1Be the humidity of last time gathering, S
N-2Be the humidity of last time gathering again, n 〉=3 and be positive integer;
Step 4, the current energy-storage battery magnitude of voltage V of calculating:
V=V
n*0.7+?V
n-1*0.2+?V
n-2*0.1；
V
nBe the voltage of this collection, V
N-1Be the voltage of last time gathering, V
N-2Be the voltage last time gathered again, n 〉=3 and be positive integer;
Step 5, the current energy-storage battery current value I of calculating:
I=I
n*0.7+?I
n-1*0.2+?I
n-2*0.1；
I
nBe the electric current of this collection, I
N-1Be the electric current of last time gathering, I
N-2Be the electric current last time gathered again, n 〉=3 and be positive integer.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple modification of the present invention with to substitute all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (1)
1. the data processing method of the online detection of an energy-storage battery parameter is characterized in that the method includes the steps of:
Step 1, sampling at least three group energy-storage battery data, every group of data are respectively temperature T
k, humidity S
k, voltage V
kAnd electric current I
k, k represents the k time collection, and k is positive integer;
Step 2, the current energy-storage battery temperature value T of calculating:
T=Tn*0.7+?Tn-1*0.2+?Tn-2*0.1；
Tn is the temperature of this collection, and Tn-1 is the temperature of last time gathering, and Tn-2 be again the temperature of collection last time, n 〉=3 and be positive integer;
Step 3, the current energy-storage battery humidity value S of calculating:
S=Sn*0.7+?Sn-1*0.2+?Sn-2*0.1；
Sn is the humidity of this collection, and Sn-1 is the humidity of last time gathering, and Sn-2 be again the humidity of collection last time, n 〉=3 and be positive integer;
Step 4, the current energy-storage battery magnitude of voltage V of calculating:
V=Vn*0.7+?Vn-1*0.2+?Vn-2*0.1；
Vn is the voltage of this collection, and Vn-1 is the voltage of last time gathering, and Vn-2 be again the voltage of collection last time, n 〉=3 and be positive integer;
Step 5, the current energy-storage battery current value I of calculating:
I=In*0.7+?In-1*0.2+?In-2*0.1；
In is the electric current of this collection, and In-1 is the electric current of last time gathering, and In-2 be again the electric current of collection last time, n 〉=3 and be positive integer.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310105505XA CN103234579A (en) | 2013-03-29 | 2013-03-29 | Data processing method for online detection of energy storage battery parameters |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310105505XA CN103234579A (en) | 2013-03-29 | 2013-03-29 | Data processing method for online detection of energy storage battery parameters |
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|---|---|
| CN103234579A true CN103234579A (en) | 2013-08-07 |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1999001918A2 (en) * | 1997-07-03 | 1999-01-14 | Estco Energy Inc. | Device and system for management of battery back up power source |
| CN102721931A (en) * | 2012-06-27 | 2012-10-10 | 陈逸 | On-line remote monitoring and managing system for storage battery |
| CN102923012A (en) * | 2012-10-29 | 2013-02-13 | 北京中电普华信息技术有限公司 | Battery information sensing system and method |
| CN102945976A (en) * | 2012-11-06 | 2013-02-27 | 武汉理工大学 | Distributed fuel cell control system and control method |
| CN102998628A (en) * | 2012-12-20 | 2013-03-27 | 余姚市供电局 | Storage battery testing method and system |
-
2013
- 2013-03-29 CN CN201310105505XA patent/CN103234579A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1999001918A2 (en) * | 1997-07-03 | 1999-01-14 | Estco Energy Inc. | Device and system for management of battery back up power source |
| CN102721931A (en) * | 2012-06-27 | 2012-10-10 | 陈逸 | On-line remote monitoring and managing system for storage battery |
| CN102923012A (en) * | 2012-10-29 | 2013-02-13 | 北京中电普华信息技术有限公司 | Battery information sensing system and method |
| CN102945976A (en) * | 2012-11-06 | 2013-02-27 | 武汉理工大学 | Distributed fuel cell control system and control method |
| CN102998628A (en) * | 2012-12-20 | 2013-03-27 | 余姚市供电局 | Storage battery testing method and system |
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Application publication date: 20130807 |