CN203084173U - Intelligent power grid storage battery status detecting system - Google Patents
Intelligent power grid storage battery status detecting system Download PDFInfo
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- CN203084173U CN203084173U CN 201320118117 CN201320118117U CN203084173U CN 203084173 U CN203084173 U CN 203084173U CN 201320118117 CN201320118117 CN 201320118117 CN 201320118117 U CN201320118117 U CN 201320118117U CN 203084173 U CN203084173 U CN 203084173U
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Abstract
The utility model discloses an intelligent power grid storage battery status detecting system, which comprises a CPU (Central Processing Unit), wherein the CPU is connected with an isolated communication circuit, a power supply conversion circuit, a voltage detecting circuit, an internal resistance detecting circuit, a temperature detecting circuit and a storage battery respectively; the other ends of the power supply conversion circuit, the voltage detecting circuit, the internal resistance detecting circuit and the temperature detecting circuit are connected with the storage battery; and by driving a low-voltage MOS (Metal Oxide Semiconductor) discharge loop, the internal resistance detecting circuit is used for acquiring an alternating-current signal by a precise test resistor R. The intelligent power grid storage battery status detecting system is used for realizing the precise detection and the comprehensive analysis of single cell voltage and single cell by combining multi-year research results in the battery test field and tightly combining a power supply conversion technology, a computer technology, a precise measuring technology and the characteristics of a VRLA (Valve-Regulated Lead Acid Battery), so that the aims of early-stage finding of storage battery invalidationand on-line performance monitoring of the storage batteryare achieved in a breakthrough manner.
Description
Technical field
The utility model relates to a kind of battery testing system, especially a kind of intelligent electrical network battery condition detection system.
Background technology
At present, the operational monitoring of conventional accumulator only can be measured the operational factor of battery, grasp these parameters and utilize them that battery operated environment is adjusted control, these functions are just kept the minimum condition that security of system runs well, reach the overall understanding battery status far away, technological prevention causes the requirement of the system failure because of battery failure or capacity attenuation.As in actual conditions, its float charge voltage of the battery that performance degradation, capacity have declined to a great extent often changes not obvious, only the monitoring of the on-line operation of voucher one can't be distinguished and handle, when the sparking voltage of finding certain battery in the discharge process is unusual, just can give a warning, often late, when needing backup battery in system, electric battery can not bring into play required power.Therefore when measuring the outside service condition of accumulator, the performance of monitoring accumulator is seen clearly the variation of its internal state, has very important significance.
The utility model content
The utility model will solve the shortcoming of above-mentioned prior art, and a kind of intelligent electrical network battery condition detection system is provided, and is applicable to the power supply system for communications, electric power operation power-supply system and ups power system.
The utility model solves the technical scheme that its technical matters adopts: this intelligent electrical network battery condition detection system, comprise CPU, CPU connects respectively and isolates communication, power converting circuit, voltage detecting circuit, internal resistance testing circuit, temperature sensing circuit and accumulator, wherein the other end of power converting circuit, voltage detecting circuit, internal resistance testing circuit and temperature sensing circuit is connected accumulator, wherein the internal resistance testing circuit is gathered AC signal by driving low-voltage MOS discharge loop by the precision measurement resistance R.This detection system has merged for many years the achievement in research in the battery testing field, advanced person's power conversion technology, computer technology, Technology of Precision Measurement and VRLA battery behavior are combined closely, realized the precision of monomer battery voltage and monocell internal resistance is detected and analysis-by-synthesis, solved the difficult problem of the early detection and the on-line performance monitoring of battery malfunction breakthroughly.This mode battery testing is upgraded to initiatively test battery internal state by passive monitoring outside batteries condition, detects with analysis mode and has been acknowledged as a kind of method of diagnosing the battery cell monitoring situation rapidly, reliably.
The effect that the utility model is useful is: the utility model full electronic battery is patrolled and examined automatically, and data are accurate, reliable; Management of Operational Events provides the maintenance analysis data; The internal resistance of exclusive technology realization monocell is accurately tested; The height intelligent data is handled, and alarm is accurate; Networking design, telemanagement and Centralized Monitoring, communications protocol can be expanded as required; Modular structure, on-site installation and maintenance are easy.
Description of drawings
Fig. 1 is a structural representation of the present utility model.
Embodiment
The utility model is described in further detail below in conjunction with accompanying drawing:
With reference to accompanying drawing: the intelligent electrical network battery condition detection system in present embodiment, comprise CPU, CPU connects respectively and isolates communication, power converting circuit, voltage detecting circuit, internal resistance testing circuit, temperature sensing circuit and accumulator, wherein the other end of power converting circuit, voltage detecting circuit, internal resistance testing circuit and temperature sensing circuit is connected accumulator, wherein the internal resistance testing circuit is gathered AC signal by driving low-voltage MOS discharge loop by the precision measurement resistance R.
1, detection module CPU selects the low-power consumption type for use, and about working current 1mA, and inside carries high-precision A loop and EEPROM storage space.
2, accumulator is input to module at first by fuse, and fuse adopts from the recovery type.
3, the module working power is provided by accumulator, adopts the high efficiency dc-to-dc power converting circuit, and CPU and peripheral circuit are given in power supply.
4, accumulator DC is pressed through after the dividing potential drop, directly gathers by the AD circuit.
5, internal resistance detects by driving low-voltage MOS discharge loop, gathers AC signal by the precision measurement resistance R, and process filter filtering and signal are gathered by the AD circuit after amplifying.
6, battery temperature detects and realizes by the thermal resistance that is attached to battery surface, gathers by the AD circuit again.
7, isolate communication and select for use the light lotus root of little current drives to carry out data communication, adopt the RS485 communication bus.
Though the utility model illustrates and describes by the reference preferred embodiment,, those skilled in the art should understand, and in the scope of claims, can do the various variation on form and the details.
Claims (1)
1. intelligent electrical network battery condition detection system, comprise CPU, it is characterized in that: described CPU connects respectively and isolates communication, power converting circuit, voltage detecting circuit, internal resistance testing circuit, temperature sensing circuit and accumulator, the other end of described power converting circuit, voltage detecting circuit, internal resistance testing circuit and temperature sensing circuit is connected accumulator, described internal resistance testing circuit is gathered AC signal by driving low-voltage MOS discharge loop by the precision measurement resistance R.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN 201320118117 CN203084173U (en) | 2013-03-15 | 2013-03-15 | Intelligent power grid storage battery status detecting system |
Applications Claiming Priority (1)
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CN 201320118117 CN203084173U (en) | 2013-03-15 | 2013-03-15 | Intelligent power grid storage battery status detecting system |
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CN203084173U true CN203084173U (en) | 2013-07-24 |
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CN 201320118117 Expired - Fee Related CN203084173U (en) | 2013-03-15 | 2013-03-15 | Intelligent power grid storage battery status detecting system |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103439663A (en) * | 2013-08-21 | 2013-12-11 | 国家电网公司 | Storage battery detecting device |
CN104678313A (en) * | 2015-02-10 | 2015-06-03 | 柳州市金旭节能科技有限公司 | Intelligent battery monitor |
CN108037446A (en) * | 2017-12-07 | 2018-05-15 | 中船重工远舟(北京)科技有限公司 | A kind of lithium battery parameter detecting management system |
-
2013
- 2013-03-15 CN CN 201320118117 patent/CN203084173U/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103439663A (en) * | 2013-08-21 | 2013-12-11 | 国家电网公司 | Storage battery detecting device |
CN104678313A (en) * | 2015-02-10 | 2015-06-03 | 柳州市金旭节能科技有限公司 | Intelligent battery monitor |
CN108037446A (en) * | 2017-12-07 | 2018-05-15 | 中船重工远舟(北京)科技有限公司 | A kind of lithium battery parameter detecting management system |
CN108037446B (en) * | 2017-12-07 | 2021-03-09 | 中船重工远舟(北京)科技有限公司 | Lithium battery parameter acquisition management system |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130724 Termination date: 20140315 |