CN105203868A - Power battery bus aging detection method based on big data - Google Patents
Power battery bus aging detection method based on big data Download PDFInfo
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- CN105203868A CN105203868A CN201510531464.XA CN201510531464A CN105203868A CN 105203868 A CN105203868 A CN 105203868A CN 201510531464 A CN201510531464 A CN 201510531464A CN 105203868 A CN105203868 A CN 105203868A
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Abstract
The invention discloses a power battery bus aging detection method based on big data. The method comprises the steps that S1, multiple temperature sensors are installed on power battery buses; S2, temperature of the temperature sensors is acquired under different current, and the corresponding current data and the temperature data are recorded; S3, the current data and the temperature data are uploaded to a cloud server; and S4, the current data and the temperature data are analyzed by the cloud server so that aging of the buses of the positions at which all the sensors are arranged is judged. The risk caused by power battery bus aging can be reliably solved via a low-cost mode so that the risk of burning of surrounding elements or lithium batteries caused by increasing of impedance of the buses can be avoided, real-time early warning of the power batteries can be performed and thus the risk of burning can be avoided.
Description
Technical field
The present invention relates to electrokinetic cell detection technique field, particularly relate to a kind of electrokinetic cell bus degradation detecting method based on large data.
Background technology
Along with the development of Rechargeable solid state batteries technology, application by fields such as electric automobile, wireless base station, battery backup energy resource system, electric tool, portable electric appts, mobile robots drives, to the market demand of electrokinetic cell especially dynamic lithium battery just with unprecedented speed increment, the remarkable characteristic such as chargeable lithium cell has high-energy-density, applying flexible is convenient, lightweight, the life-span is long.
Electrokinetic cell relates to bus (power big current busbar or heavy-current bus-bars) in the application.In use, especially there is problem of aging at interface, thus cause arc light, this arcing effect causes the aging of power bus further, thus causes electrokinetic cell to catch fire or burn.
Traditional settling mode to be reported to the police the aging of bus by detecting these arc lights, and this detection technique is expensive, there is certain unreliability.
Therefore, for above-mentioned technical matters, be necessary to provide a kind of electrokinetic cell bus degradation detecting method based on large data.
Summary of the invention
For overcoming the deficiencies in the prior art, the object of the present invention is to provide a kind of electrokinetic cell bus degradation detecting method based on large data.
To achieve these goals, the technical scheme that provides of the embodiment of the present invention is as follows:
Based on an electrokinetic cell bus degradation detecting method for large data, described method comprises:
S1, on electrokinetic cell bus, some temperature sensors are installed;
S2, the temperature obtained under different electric current on temperature sensor, the current data that record is corresponding and temperature data;
S3, by current data and temperature data uploading to Cloud Server;
S4, Cloud Server are analyzed current data and temperature data, judge that whether the bus of each sensor position is aging.
As a further improvement on the present invention, in described step S2, the writing time of " current data that record is corresponding and temperature data " is 1ms ~ 1h.
As a further improvement on the present invention, in described step S2, the writing time of " current data that record is corresponding and temperature data " is ms level, s level, min level or h level.
As a further improvement on the present invention, described step S2 also comprises:
To current data and the smoothing filtration of temperature data, remove the accidental data that labile factor causes.
As a further improvement on the present invention, in described step S4, " Cloud Server is analyzed current data and temperature data " is specially:
Cloud Server is analyzed the temperature variation on the same bus of different time sections or variation tendency according to current data and temperature data.
As a further improvement on the present invention, described step S4 also comprises:
Design temperature threshold value, contrasts temperature data and temperature threshold, and judge temperature data whether within the scope of temperature threshold, if so, then bus is unaged, and if not, then bus is aging.
The present invention reliably solves the aging risk caused of electrokinetic cell bus by cheap mode, avoids the impedance that bus causes and uprises thus the burning risk of surrounding component or lithium battery, can to electrokinetic cell real-time early warning to avoid risk of burning.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet based on the electrokinetic cell bus degradation detecting method of large data in the present invention.
Embodiment
Technical scheme in the present invention is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Shown in ginseng Fig. 1, the invention discloses a kind of electrokinetic cell bus degradation detecting method based on large data, described method comprises:
S1, on electrokinetic cell bus, some temperature sensors are installed;
S2, the temperature obtained under different electric current on temperature sensor, the current data that record is corresponding and temperature data;
S3, by current data and temperature data uploading to Cloud Server;
S4, Cloud Server are analyzed current data and temperature data, judge that whether the bus of each sensor position is aging.
As in an embodiment of the present invention, electrokinetic cell is described for lithium battery, specifically comprises the steps:
S1, on electrokinetic cell bus, some temperature sensors are installed;
Proximate mounting temperature sensor easily aging on lithium battery bus.
S2, the temperature obtained under different electric current on temperature sensor, the current data that record is corresponding and temperature data;
Aging place is monitored in real time, when detecting different electric current, the temperature value of temperature sensor measurement on corresponding bus, the current data that record is corresponding and temperature data, time interval of record can be millisecond (ms) or second (s) level or minute (min) level or hour (h) level, writing time can be any time interval between 1ms ~ 1h particularly, and to current data and the smoothing filtration of temperature data, remove the accidental data that the labile factors such as interference cause.
S3, by current data and temperature data uploading to Cloud Server;
Stable current data and temperature data are sent to high in the clouds (Cloud Server).
S4, Cloud Server are analyzed current data and temperature data, judge that whether the bus of each sensor position is aging.
Goes to analyze these current data and temperature data with cloud computing, analyze temperature variation or the variation tendency of the same current bus bar of different time sections, and it is aging to judge whether bus causes due to arc light according to the threshold value of setting, is specially:
Design temperature threshold value, contrasts temperature data and temperature threshold, and judge temperature data whether within the scope of temperature threshold, if so, then bus is unaged, and if not, then bus is aging.
Should be understood that, in present embodiment, adopt temperature sensor to detect the temperature on bus, other measuring method also can be adopted in other embodiments to measure the temperature on bus.
Technique scheme is had to find out, the present invention reliably solves the aging risk caused of electrokinetic cell bus by cheap mode, avoid the impedance that bus causes to uprise thus the burning risk of surrounding component or lithium battery, can to electrokinetic cell real-time early warning to avoid risk of burning.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present invention or essential characteristic, the present invention can be realized in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the present invention.Any Reference numeral in claim should be considered as the claim involved by limiting.
In addition, be to be understood that, although this instructions is described according to embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should by instructions integrally, and the technical scheme in each embodiment also through appropriately combined, can form other embodiments that it will be appreciated by those skilled in the art that.
Claims (6)
1., based on an electrokinetic cell bus degradation detecting method for large data, it is characterized in that, described method comprises:
S1, on electrokinetic cell bus, some temperature sensors are installed;
S2, the temperature obtained under different electric current on temperature sensor, the current data that record is corresponding and temperature data;
S3, by current data and temperature data uploading to Cloud Server;
S4, Cloud Server are analyzed current data and temperature data, judge that whether the bus of each sensor position is aging.
2. method according to claim 1, is characterized in that, in described step S2, the writing time of " current data that record is corresponding and temperature data " is 1ms ~ 1h.
3. method according to claim 1, is characterized in that, in described step S2, the writing time of " current data that record is corresponding and temperature data " is ms level, s level, min level or h level.
4. method according to claim 1, is characterized in that, described step S2 also comprises:
To current data and the smoothing filtration of temperature data, remove the accidental data that labile factor causes.
5. method according to claim 1, is characterized in that, in described step S4, " Cloud Server is analyzed current data and temperature data " is specially:
Cloud Server is analyzed the temperature variation on the same bus of different time sections or variation tendency according to current data and temperature data.
6. method according to claim 5, is characterized in that, described step S4 also comprises:
Design temperature threshold value, contrasts temperature data and temperature threshold, and judge temperature data whether within the scope of temperature threshold, if so, then bus is unaged, and if not, then bus is aging.
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| CN201510531464.XA CN105203868A (en) | 2015-08-27 | 2015-08-27 | Power battery bus aging detection method based on big data |
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| CN201510531464.XA CN105203868A (en) | 2015-08-27 | 2015-08-27 | Power battery bus aging detection method based on big data |
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Cited By (2)
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| CN109683089A (en) * | 2018-11-30 | 2019-04-26 | 江苏大学 | Motor bus high resistance connecting fault detection device and method based on WSN |
| CN112904130A (en) * | 2021-01-28 | 2021-06-04 | 广东电网有限责任公司 | Online monitoring method, device, equipment, medium and system for line aging |
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