AU2021102944A4 - Data management and intelligent early warning system of storage battery life cycle in DC power system - Google Patents
Data management and intelligent early warning system of storage battery life cycle in DC power system Download PDFInfo
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- AU2021102944A4 AU2021102944A4 AU2021102944A AU2021102944A AU2021102944A4 AU 2021102944 A4 AU2021102944 A4 AU 2021102944A4 AU 2021102944 A AU2021102944 A AU 2021102944A AU 2021102944 A AU2021102944 A AU 2021102944A AU 2021102944 A4 AU2021102944 A4 AU 2021102944A4
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- storage battery
- monitoring
- module
- early warning
- data
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- 238000013523 data management Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 81
- 238000007726 management method Methods 0.000 claims abstract description 40
- 238000013480 data collection Methods 0.000 claims abstract description 29
- 230000002159 abnormal effect Effects 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 3
- 239000002253 acid Substances 0.000 claims description 19
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 claims description 5
- 230000005355 Hall effect Effects 0.000 claims description 3
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 239000004973 liquid crystal related substance Substances 0.000 claims description 2
- 230000005856 abnormality Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000006866 deterioration Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 208000032953 Device battery issue Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
-
- 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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- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a storage battery life cycle data management and intelligent early
warning system in DC power system, which comprises storage battery monitoring and
management unit, data collection module, assisting module, early warning module and cloud
storage; The data collection module is used for collecting the data of the storage battery's
working state; The assisting module is used for detecting the AC disturbance signal of the
storage battery; The storage battery monitoring and management unit is used for controlling
the data collection module, the assisting module and the early warning module; It is also used
to monitor the abnormality of storage battery and to generate the monitoring curve of storage
battery; It is also used to calculate the remaining capacity of the storage battery; The early
warning module alarms based on abnormal monitoring results and AC disturbance signals sent
by the storage battery monitoring and management unit; The cloud storage is used for storing
the data of working state, abnormal monitoring results and AC disturbance signal detection
results of the storage battery in the whole life cycle. The invention can realize real time
monitoring of the storage battery's working state.
I / 1
Assisting
module
Storage battery
Early warning monitoring and Cloud
module management storage
unit
Data collection module
CDC
CD
00
Fig.1 A structural schematic diagram of the battery life cycle data
management and intelligent early warning system in the DC power system
of the present invention.
Description
I /1
Assisting module
Storage battery Early warning monitoring and Cloud module management storage unit
Data collection module
00
Fig.1 A structural schematic diagram of the battery life cycle data
management and intelligent early warning system in the DC power system
of the present invention.
Data management and intelligent early warning system of storage battery life cycle
in DC power system
The invention relates to the technical field of storage battery early warning, in particular
to a battery life cycle data management and intelligent early warning system in DC power
system.
In the power system, DC system is the key to ensure power supply in power plants and
substations, of which the storage battery serve as the final resort of the system. But
battery accidents often occur during actual use due to its requirements for certain know
how to operate monitoring and management as well as efficient methods. Therefore, for
the purpose of safe operation and stable production, it is necessary to develop a complete
system of pre-identification, maintenance and support for storage battery in DC power
system.
As for power supply, battery inspection is very importance and of technical difficulty.
Most of the battery detection methods used currently adopt manual voltage measurement
both timed and non-timed, or self-discharge check. While such methods can not monitor
the storage battery timely and accurately, let alone to achieve early warning. For instance,
the battery voltage always runs within norms in the actual measurement. But it turns out
that there are always some batteries whose discharge performance cannot meet the actual
demand after the actual discharge test. So, monitor the battery voltage and current only
cannot show the full picture of storage battery's performance change. Besides, extensive manual measurements, especially checking charge and discharge, are time-consuming and laborious, which is unfavorable for protecting the safety of surveyors.
To sum up, it is particularly necessary to develop a battery life cycle data management
and intelligent early warning system in DC power system.
The purpose of the present invention is to provide a data management and intelligent
early warning system for the storage battery life cycle in DC power system, so as to solve
the problems in the prior art. The system provided in the present invention can monitor
the working state of the storage battery in real time and predict the abnormality of it in
advance by generating a monitoring curve, thereby finding out and judging the reasons of
deterioration and failure of the storage battery in time and preventing storage battery from
causing major accidents.
In order to achieve the above purpose, The present invention provides the following
scheme: The data management and intelligent early warning system for the storage
battery life cycle in DC power system provided by the present invention comprises:
Battery monitoring and management unit, data collection module, assisting module, early
warning module and cloud storage; The storage battery monitoring and management unit
is connected with the data collection module, the assisting module, the early warning
module and the cloud storage respectively;
The data collection module is used for collecting working state data of the storage
battery;
The assisting module is used for detecting the AC disturbance signal of the storage
battery and transmitting the detected signal to the storage battery monitoring and
management unit;
The storage battery monitoring and management unit is used for controlling the data
collection module, the assisting module and the early warning module; The storage
battery monitoring management unit also performs abnormal monitoring of the storage
battery based on its working state data collected by the data collection module; The
storage battery monitoring management unit also generates a monitoring curve of the
storage battery based on the working state data of the storage battery collected by the data
collection module and the AC disturbance signal sent by the assisting module; The
storage battery monitoring and management unit also calculates the remaining capacity of
the storage battery based on the working state data of the storage battery collected by the
data collection module;
The early warning module alarms based on the abnormal monitoring result and the AC
disturbance signal sent by the storage battery monitoring management unit;
The cloud storage is used for storing working state data, abnormal monitoring results and
AC disturbance signal detecting results of the storage battery in the whole life cycle, and
also used for storing historical monitoring data of the storage battery.
Preferably, the working state data of the battery collected by the data collection module
includes voltage, current, battery temperature and battery acid concentration, and the
battery acid concentration includes acid concentration of both battery top and bottom.
Preferably, the data collection module comprises voltage collection unit, current
collection unit, temperature collection unit and acid concentration collection unit, which are respectively used for collecting the voltage, current, temperature and acid concentration of the storage battery; The voltage collection unit, the current collection unit, the temperature collection unit, the first pH tester and the second pH tester are respectively connected with the storage battery monitoring and management unit.
Preferably, the voltage collection unit adopts voltage sensor, the current collection unit
adopts bidirectional Hall effect sensor and the temperature collection unit adopts a
temperature sensor; The acid concentration collection unit comprises first pH tester and
second pH tester which are respectively used for collecting the acid concentration at both
the bottom and the top of the storage battery.
Preferably, the assisting module detects the AC disturbance signal of the storage battery
by collecting disturbance AC voltage, terminal voltage and terminal current of battery
group, voltage of anode and cathode of DC control bus, and comparing the signal with a
preset threshold.
Preferably, the AC voltage is collected by Hall voltage sensor; The terminal voltage and
current of the battery group, the anode and cathode voltage of the DC control bus are
collected through A/D real-time sampling.
Preferably, the monitoring curves generated by the storage battery monitoring and
management unit include charge-discharge monitoring curve, acid concentration
monitoring curve, AC disturbance signal monitoring curve and DC ripple factor
monitoring curve.
Preferably, the early warning module uses audible and visual alarm to alert, and the early
warning module is also used to send early warning information to preset mobile terminal
for alert.
Preferably, the storage battery monitoring and management unit is also connected with a
display device which is used for displaying the working parameters, monitoring curves,
remaining capacity and early warning information of the storage battery in real time.
Preferably, the display device adopts a touchable liquid crystal display screen which
comprises a plurality of display areas for displaying different storage batteries in different
screens.
The invention discloses the following technical effects:
(1) The invention provides a storage battery life cycle data management and intelligent
early warning system in DC power system, which collects voltage data, current data,
temperature data and acid concentration data of the storage battery in real time through
data collection module, monitors the abnormality of the storage battery through the
collected data and generates monitoring curve, thereby realizing real-time monitoring of
the working state of the storage battery and predicting possible problems of the storage
battery in advance based on the monitoring curve, since reducing and avoiding the
occurrence of battery faults. At the same time, by monitoring the performance of the
battery in real time, we can find out and judge the reasons for the deterioration and failure
of the battery, and prevent the battery from causing major accidents.
(2) According to the invention, the AC disturbance signal of the storage battery is
detected by the assisting module through real-time collection of disturbance AC voltage,
terminal voltage, terminal current, anode and cathode voltage of DC control bus, and
comparing with a preset threshold value, so that the AC disturbance signal of the storage
battery can be monitored effectively in real time.
In order to explain the embodiments of the present invention or the technical
scheme in the prior art more clearly, the drawings needed in the
embodiments will be briefly introduced below. Obviously, the drawings in
the following description are only some embodiments of the present
invention, and for those of ordinary skills in the field, other drawings can be
obtained according to these drawings without paying creative labour.
Fig.1 is a structural schematic diagram of the battery life cycle data
management and intelligent early warning system in the DC power system
of the present invention.
The technical scheme in the embodiments of the present invention will be
described clearly and completely with reference to the drawings in the
embodiments of the present invention. Obviously, the described
embodiments are only part but not all of the embodiments of the present
invention. Based on the embodiments of the present invention, all other
embodiments obtained by ordinary technicians in the field without creative
labour fall to the scope of protection of the present invention.
For a clearer understanding of the above objects, features and advantages of
the present invention, the present invention will be further explained in
detail with reference to the drawings and specific embodiments.
Referring to fig.1, this embodiment provides a data management and
intelligent early warning system for battery life cycle in DC power system,
which comprises battery monitoring and management unit, data collection
module, assisting module, early warning module and cloud storage; And the
storage battery monitoring and management unit is connected with the data
collection module, the assisting module, the early warning module and the
cloud storage respectively.
The data collection module is used for collecting working state data of the
storage battery, wherein the working state data comprises voltage, current,
storage battery temperature and storage battery acid concentration which
includes both top and bottom acid concentration of storage battery;
The data collection module comprises voltage collection unit, current
collection unit, temperature collection unit and acid concentration collection
unit, which are respectively used for collecting the voltage, current,
temperature and acid concentration of the storage battery; The voltage
collection unit, the current collection unit, the temperature collection unit,
the first pH tester and the second pH tester are respectively connected with the storage battery monitoring and management unit. The voltage collection unit adopts a voltage sensor; The current collection unit adopts a bidirectional Hall effect sensor and can observe every change of the battery current; The temperature collection unit adopts temperature sensor; The acid concentration collection unit comprises first pH tester and second pH tester, which are respectively used for collecting the acid concentration at the bottom and the top of the storage battery.
The assisting module is used for detecting the AC disturbance signal of the
storage battery and transmitting the obtained AC disturbance signal to the
storage battery monitoring and management unit;
The assisting module detects the AC disturbance signal of the storage battery
by collecting AC disturbance voltage, terminal voltage and terminal current
of battery group, anode and cathode voltage of DC control bus, and
comparing with a preset threshold, wherein the AC voltage is acquired by a
Hall voltage sensor; And the group terminal voltage and terminal current,
the anode and cathode voltage of the DC control bus are acquired through
high-speed A/D real-time sampling.
The storage battery monitoring and management unit is used for controlling
the data collection module, the assisting module and the early warning
module; The storage battery monitoring management unit also performs abnormal monitoring of the storage battery based on its working state data collected by the data collection module; The storage battery monitoring management unit also generates a monitoring curve of the storage battery based on the working state data collected by the data collection module and the AC disturbance signal sent by the assisting module; The monitoring curves include charge-discharge monitoring curves, acid concentration monitoring curves, AC disturbance signal monitoring curves and DC ripple factor monitoring curves, and the possible problems of the storage battery can be predicted in advance based on the monitoring curves, thereby reducing and avoiding the occurrence of battery failures; The storage battery monitoring and management unit also calculates the remaining capacity of the storage battery based on the working state data of the storage battery collected by the data collection module.
The early warning module alarms according to the abnormal monitoring
result and the AC disturbance signal sent by the storage battery monitoring
management unit; The early warning module uses audible and visual alarm
to alert, and is also used for sending early warning information to a preset
mobile terminal for alert, wherein the early warning information includes but
not limited to short messages. Among which, the preset mobile terminal is a
mobile phone or a computer, and the maintenance personnel can receive the abnormal information of the battery at first based on the early warning information, and carry out fault treatment in time.
The cloud storage is used for storing working state data, abnormal
monitoring results and AC disturbance signal detecting results of the storage
battery in the whole life cycle; It is also used for storing historical
monitoring data of the storage battery. The cloud storage stores data in a
distributed storage approach, which is convenient for data searching.
The storage battery monitoring and management unit is also connected with
a display device, which is used for displaying the working parameters,
monitoring curves, remaining capacity and early warning information of the
storage battery in real time. The display device adopts a touchable liquid
crystal display screen, which comprises a plurality of display areas and is
used for displaying different storage batteries in different screen, so that
operation and maintenance personnel can fully grasp the working state of the
storage batteries and timely carry out fault treatment according to abnormal
information of the storage batteries.
The above embodiments only describe the preferred mothod of the
invention, but do not limit the scope of the invention. On the premise of not
departing from the design spirit of the invention, various modifications and
improvements made by ordinary technicians in the field to the technical scheme of the invention shall fall within the protection scope determined by the claims of the invention.
Claims (10)
1. A data management and intelligent early warning system for storage
battery life cycle in DC power system, characterized by comprising battery
monitoring and management unit, data collection module, assisting module,
early warning module and cloud storage; The storage battery monitoring and
management unit is connected with the data collection module, the assisting
module, the early warning module and the cloud storage respectively;
The data collection module is used for collecting working state data of the
storage battery;
The assisting module is used for detecting the AC disturbance signal of the
storage battery and transmitting the obtained AC disturbance signal to the
storage battery monitoring and management unit;
The storage battery monitoring and management unit is used for controlling
the data collection module, the assisting module and the early warning
module; The storage battery monitoring management unit also performs
abnormal monitoring of the storage battery based on the its working state
data collected by the data collection module; The storage battery monitoring
management unit also generates a monitoring curve of the storage battery
based on the working state data of the storage battery collected by the data
collection module and the AC disturbance signal sent by the assisting module; The storage battery monitoring and management unit also calculates the remaining capacity of the storage battery based on the working state data of the storage battery collected by the data collection module;
The early warning module alarms based on the abnormal monitoring result
and the AC disturbance signal sent by the storage battery monitoring
management unit;
The cloud storage is used for storing working state data, abnormal
monitoring results and alternating current disturbance signal detection
results of the storage battery in the whole life cycle and is also used for
storing historical monitoring data of the storage battery.
2. The battery life cycle data management and intelligent early warning
system in DC power system according to claim 1, characterized in that the
working state data of the battery collected by the data collection module
includes voltage, current, battery temperature and battery acid concentration,
and the battery acid concentration includes acid concentration of both top
and bottom of the battery.
3. The system of claim 2, wherein the data collection module comprises a
voltage collection unit, a current collection unit, a temperature collection
unit and an acid concentration collection unit, which are respectively used
for acquiring the voltage, current, temperature and acid concentration of the battery; The voltage collection unit, the current collection unit, the temperature collection unit, the first pH tester and the second pH tester are respectively connected with the storage battery monitoring and management unit.
4. The system of claim 3, wherein the voltage collection unit adopts a
voltage sensor, the current collection unit adopts a bidirectional Hall effect
sensor, and the temperature collection unit adopts a temperature sensor; The
acid concentration collection unit comprises first pH tester and second pH
tester which are respectively used for acquiring the acid concentration of
both top and the bottom of the storage battery.
5. The battery life cycle data management and intelligent early warning
system in DC power system according to claim 1, wherein the assisting
module detects the AC disturbance signal of the battery by collecting
disturbance AC voltage, terminal voltage, terminal current, anode and
cathode voltage of DC control bus, and comparing with a preset threshold.
6. The battery life cycle data management and intelligent early warning
system in DC power system according to claim 5, characterized in that the
AC voltage is obtained by Hall voltage sensor; The voltage of the group
terminal, the current of the group terminal, the anode and cathode voltage of
the DC control bus are acquired by A/D real-time sampling.
7. The data management and intelligent early warning system for storage
battery life cycle in DC power system according to claim 1, characterized in
that the monitoring curves generated by the battery monitoring and
management unit include charge-discharge monitoring curves, acid
concentration monitoring curves, AC disturbance signal monitoring curves
and DC ripple factor monitoring curves.
8. The storage battery life cycle data management and intelligent early
warning system of claim 1, wherein the early warning module uses audible
and visual alarm to alert, and the early warning module is further used to
send early warning information to a preset mobile terminal for alarming.
9. The system of claim 1, wherein the battery monitoring and management
unit is further connected with a display device which is used for displaying
the working parameters, monitoring curves, remaining capacity and early
warning information of the storage battery in real time.
10. The system of claim 9, wherein the display device adopts a touchable
liquid crystal display screen which comprises a plurality of display areas for
displaying different batteries in different screens.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021102944A AU2021102944A4 (en) | 2021-05-28 | 2021-05-28 | Data management and intelligent early warning system of storage battery life cycle in DC power system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021102944A AU2021102944A4 (en) | 2021-05-28 | 2021-05-28 | Data management and intelligent early warning system of storage battery life cycle in DC power system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021102944A4 true AU2021102944A4 (en) | 2021-07-22 |
Family
ID=76858462
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021102944A Ceased AU2021102944A4 (en) | 2021-05-28 | 2021-05-28 | Data management and intelligent early warning system of storage battery life cycle in DC power system |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021102944A4 (en) |
-
2021
- 2021-05-28 AU AU2021102944A patent/AU2021102944A4/en not_active Ceased
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| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |