CN108923083A - A method of battery on-line checking and maintenance based on risk assessment - Google Patents
A method of battery on-line checking and maintenance based on risk assessment Download PDFInfo
- Publication number
- CN108923083A CN108923083A CN201810844401.3A CN201810844401A CN108923083A CN 108923083 A CN108923083 A CN 108923083A CN 201810844401 A CN201810844401 A CN 201810844401A CN 108923083 A CN108923083 A CN 108923083A
- Authority
- CN
- China
- Prior art keywords
- risk
- battery
- risk index
- grid
- line checking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses the methods of a kind of the battery on-line checking based on risk assessment and maintenance, include the following steps：Start；Acquisition influences the sub- risk index R of each risk factors of electric power netting safe runningi；Calculate integrated risk index R；In conjunction with power grid itself or similar electric network fault statistical data, acceptable integrated risk index R is determined0；Judge R and R0Size relation, if R>R0, then current electric grid is in high risk run the period, skips the on-line checking and maintenance step of battery, directly terminates；If R≤R0, then current electric grid is in low-risk run the period, continues in next step；Battery is detected and is safeguarded；Terminate.Due to having carried out comprehensive assessment and judgement to power networks risk before the detection and service action for executing battery, ensures that the detection of battery and maintenance work was carried out in the low-risk period of operation of power networks, improve the safety coefficient of power grid.
Description
Technical field
The present invention relates to ice storing time maintenance areas, examine online more particularly, to a kind of battery based on risk assessment
Survey the method with maintenance.
Background technique
Currently, the equipment for being largely provided with backup battery, UPS and uninterrupted power supply in electric power automation of distributive net system
In, redundant power design is a kind of common power supply design method, it refers to that battery and power circuit are connected in parallel by system
It is load circuit power supply by power circuit, and filled for battery always in the normal situation of power circuit onto load circuit
Electricity makes it maintain capacity saturation state；In the case where power circuit interrupts, then it is switched to storage battery power supply, battery only has
It is just used as backup power supply in the case where power circuit interrupts, in order to ensure battery can work normally, it is necessary to detect
Its health status avoids the occurrence of the case where battery can not work normally after power circuit interruption.
The prior art generally comprises inner walkway and activation processing, the prior art is to battery to the detection method of battery
The test of internal resistance can be completed in several seconds to a few minutes, and influence on battery storage electricity very little；But to battery
Activation processing need to allow battery to carry out adequately electric discharge to recharge, be usually the charging electricity of artificial cutting battery in operation
Road is powered to system using battery or is arranged special discharge load, until accumulator electric-quantity is sufficiently released
After putting, then charge circuit being taken back again and is charged, this process generally requires persistently several hours.
Meanwhile with the raising of distribution network the degree of automation, the prior art is in the remote online inspection for executing battery
When survey, often executed automatically in the time set (for example monthly execute accumulator testing and dimension No. 55 points of mornings automatically
Shield), such set time carries out the setting method of accumulator testing, the operating status at that time of power grid is not accounted for, if
During executing storage battery activation, when battery discharges into the limit, just to switch back into when charge circuit is charged and run into
Grid cut-off, since battery has just carried out sufficient electric discharge at this time, the electricity of internal actual storage is in minimum value, this
When battery be just difficult to shoulder the responsibility of backup power source, cause huge hidden danger to the safe operation of power grid.
Summary of the invention
In view of the drawbacks of the prior art, the technical problem to be solved by the present invention is to：How to determine and carries out the online of battery
Detection is in the low-risk period with power grid when maintenance work, in order to solve the above technical problems, the technical solution adopted by the present invention is that
A method of battery on-line checking and maintenance based on risk assessment specifically comprise the following steps：
S1：Start；
S2：Acquire sub- risk index Ri, the sub- risk index R of each risk factors of acquisition influence electric power netting safe runningi；
S3：Integrated risk index R is calculated, above-mentioned each R is comprehensively consideredi, calculate integrated risk index R；
S4：Determine acceptable highest integrated risk index R0, analyze the historical failure of this power grid itself or similar power grid
Data determine acceptable highest integrated risk index R0；
S5：Judge R and R0Size relation,
On the one hand, if R>R0, then it is assumed that current time power grid is in the high risk phase, the probability powered off height occurs, to storage
Battery relies on height, is not suitable for carrying out ice storing time maintenance work at the moment, skips to step S7；
On the other hand, if R≤R0, power grid is currently in the low-risk phase, the probability for occurring powering off is low, to battery according to
Rely low, skips to step S6；
S6：Ice storing time and maintenance are executed, battery is detected and safeguarded using battery-detecting instrument；
S7：Terminate.
Using the invention has the advantages that having comprehensively considered influence before carrying out the maintenance work of battery on-line checking
The various risk factors of operation of power networks actively avoid the high risk period of operation of power networks, select the low-risk period of operation of power networks
The detection maintenance work for carrying out battery, greatly reduces the probability that electric network fault is met during carrying out battery service,
Improve the safety coefficient of entire network system.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the calculation formula of calculating integrated risk index R is in step S3：
Wherein, KiFor weight coefficient, Ki>0, and ∑ Ki=1, RiFor i-th sub- risk index.Such as：
It is " load rate of grid ", " temperature ", " wind speed " that i=1,2,3, which can respectively correspond project,.
Further, step S2 falls into a trap operator risk index RiCalculation formula be：
Wherein XnowFor the current value of the physical quantity of risk factors, Xmax, XminRespectively the physical quantity of risk factors is in this electricity
The greatest measure and minimum value that can use in net.
Further, acceptable highest integrated risk index R is determined in step S40The step of be：
S41：With risk factors identical in step S2, S3 and calculation formula, calculates this power grid or similar power grid is all previous
Integrated risk index R when failurej；
S42：Calculate RjIn three minimum values average value, be set as R0。
Further, step S2 falls into a trap operator risk index RiCalculation formula be：
Wherein XnowFor the current value of the physical quantity of risk factors, Xmax, XminRespectively the physical quantity of risk factors is in this electricity
The greatest measure and minimum value, G that can use in net are adjustability coefficients, G ≠ 0.By adjusting adjustability coefficients G, adjustable sub- wind
Dangerous index with physical quantity conversion rate；When 0<When G≤1, sub- risk index increases faster, works as G>When 1, sub- risk index increases
It is slowed by, it is hereby achieved that the risk index of more closing to reality situation.
Further, it is contemplated that the case where grid collapses and infrequently, the R that can will be obtained in step S40It carries out
Storage, and after step s 3, increase step S before step S4if, for judging R0Whether>0：
If R0>0, then it is not repeated to calculate, directly transfers this R0, jump to step S5；
If R0=0, then follow the steps S4.
Detailed description of the invention
Fig. 1 is the work flow diagram of the method for a kind of battery on-line checking based on risk assessment of the present invention and maintenance.
Fig. 2 is the relational graph of load rate of grid and load rate of grid risk index in embodiment.
Fig. 3 is the relational graph of temperature and temperature risk index in embodiment.
Fig. 4 is the relational graph of wind speed and wind speed risk index in embodiment.
Specific embodiment
With reference to the accompanying drawing, the present invention will be further explained, and the given examples are served only to explain the present invention, is not intended to
It limits the scope of the invention.
It please refers to shown in Fig. 1, is the side of a kind of the battery on-line checking based on risk assessment and maintenance of the invention
The step flow chart of method.A kind of battery on-line checking based on risk assessment and the method for maintenance include the following steps：
S1：Start；
S2：Acquire sub- risk index Ri, with " load rate of grid ", " temperature ", " wind speed " three to influence in the present embodiment
The risk factors of power grid calculate its corresponding sub- risk index separately below：
Calculate load rate of grid risk index R1：
R1=1/ (1.001- (| Gnow-Gmin|/|Gmax-Gmin|)), wherein GnowFor current electric grid load, GmaxIt is set for power grid
Count peak load, GminTake 0, Gnow/GmaxFor the rate of load condensate of current electric grid.
Specific to the present embodiment：
When load rate of grid is 80%, R1=4.98,
When load rate of grid is 85%, R1=6.62,
When load rate of grid is 95%, R1=19.61,
Referring to FIG. 2, its relational graph for load rate of grid and load rate of grid risk index in the present embodiment；Work as power grid
When rate of load condensate is below 90%, load rate of grid risk index increases slowly, when load rate of grid is more than 90%, network load
Rate risk index can increase sharply；
It calculates temperature risk and refers to R2：
R2=1/ (1.001- | Tnow-Tmin|/|Tmax-Tmin|), wherein Tmin0 degree Celsius is taken, TnowFor current temperature value,
Tmax45 degrees Celsius are set as, temperature deviates TminBigger, the probability of grid collapses is higher, i.e., temperature it is excessively high or it is too low not
Conducive to the safe operation of power grid；
Specific to the present embodiment：
When temperature is 20 DEG C, R2=1.80,
When temperature is 30 DEG C, R2=2.99,
When temperature is 35 DEG C, R2=4.48,
When temperature is 42 DEG C, R2=14.78,
Referring to FIG. 3, its relational graph for temperature and temperature risk index in the present embodiment；When temperature is at 40 DEG C or less
When, temperature risk index increases slowly, and when temperature is close to 45 DEG C, temperature risk index can increase sharply；
Calculation of wind speed risk index R3：
R3=1/ (1.001- | Vnow-Vmin|/|Vmax-Vmin|), VnowFor current wind speed, VminTake 0, VmaxTake hurricane
Wind speed, i.e. 30 meter per seconds；
Specific to the present embodiment：
When wind speed is 20.0 meter per second, R3=3.00,
When wind speed is 21.0 meter per second, R3=3.32,
When wind speed is 28.5 meter per second, R3=19.00,
Referring to FIG. 4, its relational graph for wind speed and wind speed risk index in the present embodiment；When wind speed 24 meter per seconds with
When lower, wind speed risk index increases slowly, and after wind speed is more than 24 meter per second, wind speed risk index can increase sharply；
S3：Integrated risk index R is calculated,
According to formulaWherein, KiFor weight coefficient, Ki>0, and ∑ Ki=1, RiRefer to for i-th sub- risk
Number, specific to the present embodiment, takes K1=K2=K3=1/3, the R that will be calculated in step S21, R2, R3It brings formula into, can obtain
To integrated risk index R；
Specific to the present embodiment：
Q1：When load rate of grid is 80%, temperature is 20 DEG C, when wind speed is 20.0m/s, R=3.26；
Q2：When load rate of grid is 80%, temperature is 20 DEG C, when wind speed is 28.5m/s, R=19.00；
Q3：When load rate of grid is 80%, temperature is 42 DEG C, when wind speed is 20.0m/s, R=7.58；
Q4：When load rate of grid is 95%, temperature is 30 DEG C, when wind speed is 20.0m/s, R=8.53；
Q5：When load rate of grid is 85%, temperature is 35 DEG C, when wind speed is 21.0m/s, R=4.80；
S4：Determine that highest is subjected to integrated risk index R0,
According to the identical risk factors of step S2, S3 and calculation formula, statistical data to this power grid historical failure or
The statistical data of similar power grid historical failure is handled, and the integrated risk index R in all previous failure of power grid can be obtainedj, take wherein 3
A minimum value is simultaneously averaged, if this average value is that highest is subjected to integrated risk index R0；
If table 1 is all previous failure of certain power grid according to risk factors identical in step S2, S3 and calculation formula calculating acquisition
Integrated risk index Rj, wherein three minimum values are respectively 3.16,3.53,3.83, average value 3.51, therefore R is set0=
3.51。
Table 1
S5：Judge R and R0Size relation,
On the one hand, if R>R0, then judge that current electric grid operation in the high risk period, is not suitable for carrying out ice storing time
Maintenance, test maintaining work terminate, and jump to step S7；
On the other hand, if R≤R0, then judge that current electric grid runs on the low-risk period, jump to step S6；
Specific to the present embodiment,
Q1 in step s3：
Q1：When load rate of grid is 80%, temperature is 20 DEG C, when wind speed is 20.0m/s, R=3.26,
R=3.26<R0=3.51, operation of power networks jumps to step S6 in the low-risk period；
Q2 in step s3：
Q2：When load rate of grid is 80%, temperature is 20 DEG C, when wind speed is 28.5m/s, R=19.00,
R=8.79>R0=3.51, operation of power networks jumps to step S7 in the high risk period；
It was issued according to China Meteorological Administration in 2001《Typhoon business and service discipline》, 28.5 meter per second of wind speed, which is defined the level, is
10 grades of strong wind, in the case of, although load rate of grid is not high, temperature is not also high, wind speed is very big, and power grid is in 10 grades big
Wind weather, therefore obtain higher integrated risk index R；
Q3 in step s3：
Q3：When load rate of grid is 80%, temperature is 42 DEG C, when wind speed is 20.0m/s, R=7.58,
R=7.58>R0=3.51, operation of power networks jumps to step S7 in the high risk period；
In the case of this, although load rate of grid is not high, wind speed is also little, temperature is up to 42 degree, is equivalent in cruel
Hot weather, therefore obtain higher integrated risk index R；
Q4 in step s3：
Q4：When load rate of grid is 95%, temperature is 30 DEG C, when wind speed is 20.0m/s, R=8.53,
R=8.53>R0=3.51, operation of power networks jumps to step S7 in the high risk period；
In the case of this, although temperature is not high, wind speed is little, power grid obtains higher comprehensive close to oepration at full load
Close risk index R；
Q5 in step s3：
Q5：When load rate of grid is 85%, temperature is 35 DEG C, when wind speed is 21.0m/s, R=4.80,
R=4.8>R0=3.51, operation of power networks jumps to step S7 in the high risk period；
Although temperature, wind speed, either party is not intended to extreme value to network load, and each risk factors are in simultaneously
Higher level, considers the combined influence of each factor, therefore obtains higher integrated risk index R.
S6：Detection maintenance is carried out to battery, using the module of battery-detecting instrument or identical functions to battery into
The attended operations such as row conventional inner walkway, activation.
S7：Terminate.
Further, R is calculated in step S2iFormula be：
The adjustability coefficients G of addition, adjustable risk index, can be according to the practical fortune of power grid with the pace of change of physical quantity
Row state is adjusted, to obtain more close to the risk index of grid operating conditions.
(the R in previous embodiment by taking load rate of grid as an example1Data be equivalent to G=1), when taking G=0.5：
When load rate of grid is 80%, load rate of grid risk index R1G=9.95,
When load rate of grid is 85%, load rate of grid risk index R1G=13.25,
When load rate of grid is 95%, load rate of grid risk index R1G=39.22,
It can be seen that it is high when load rate of grid risk index ratio G=1 in the case of identical load rate of grid when G=0.5, herein
In embodiment, when load rate of grid reaches 80%, higher integrated risk index R can be obtained, so as to avoid in electricity
The maintenance work of battery is carried out when net rate of load condensate is more than 80%.
Further, it is contemplated that the case where grid collapses and infrequently, the R that can will be obtained in step S40It carries out
Storage, and after step s 3, increase step S before step S4if, for judging R0Whether>0：
If R0>0, then directly transfer this R0, step S5 is jumped to, avoids and computes repeatedly R0, improve work efficiency；
If R0=0, then follow the steps S4.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of method of the battery on-line checking based on risk assessment and maintenance, which is characterized in that include the following steps：
S1：Start；
S2：Acquire sub- risk index Ri；
S3：Calculate integrated risk index R；
S4：Determine acceptable highest integrated risk index R0；
S5：Judge R and R0Size relation,
On the one hand, if R>R0, then it is assumed that current time power grid is in the high risk phase, occur the probability powered off height, to battery according to
Lai Gao is not suitable for carrying out ice storing time maintenance work at the moment, skips to step S7；
On the other hand, if R≤R0, power grid is currently in the low-risk phase, and the probability for occurring powering off is low, and it is low to the dependence of battery,
Skip to step S6；
S6：Execute ice storing time and maintenance；
S7：Terminate.
2. battery on-line checking and maintaining method based on risk assessment as described in claim 1, which is characterized in that described
The calculation formula of integrated risk index R described in step S3 is as follows：
Wherein, KiFor weight coefficient, Ki>0, and ∑ Ki=1, RiFor sub- risk index.
3. battery on-line checking and maintaining method based on risk assessment as claimed in claim 1 or 2, which is characterized in that
Sub- risk index R described in the step S2iCalculation formula be：
Wherein XnowFor the current value of the physical quantity of risk factors, Xmax, XminRespectively the physical quantity of risk factors is in this power grid
Desirable greatest measure and minimum value.
4. battery on-line checking and maintaining method based on risk assessment as claimed in claim 1 or 2, which is characterized in that
The acceptable highest integrated risk index R is determined in the step S40The step of be：
S41：With identical risk factors and calculation formula in the step S2, the step S3, this power grid or similar is calculated
Integrated risk index R when all previous failure of power gridj；
S42：Calculate the RjIn three minimum values average value, be set as R0。
5. battery on-line checking and maintaining method based on risk assessment as claimed in claim 1 or 2, which is characterized in that
Sub- risk index R described in the step S2iCalculation formula be：
Wherein XnowFor the current value of the physical quantity of risk factors, Xmax, XminRespectively the physical quantity of risk factors is in this power grid
Desirable greatest measure and minimum value, G are adjustability coefficients, G ≠ 0.
6. battery on-line checking and maintaining method based on risk assessment as claimed in claim 1 or 2, which is characterized in that
To the R determined in step S40It is stored, after step s 3, increases step S before step S4if：Judge R0Whether>0：
On the one hand, if R0>0, transfer this R0, skip to step S5；
On the one hand, if R0=0, execute step S4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810844401.3A CN108923083B (en) | 2018-07-27 | 2018-07-27 | Storage battery online detection and maintenance method based on risk assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810844401.3A CN108923083B (en) | 2018-07-27 | 2018-07-27 | Storage battery online detection and maintenance method based on risk assessment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108923083A true CN108923083A (en) | 2018-11-30 |
| CN108923083B CN108923083B (en) | 2022-01-28 |
Family
ID=64417458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810844401.3A Active CN108923083B (en) | 2018-07-27 | 2018-07-27 | Storage battery online detection and maintenance method based on risk assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108923083B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080294357A1 (en) * | 2007-05-21 | 2008-11-27 | The Boeing Company | Risk assessment of metal vapor arcing |
| CN103810533A (en) * | 2013-08-15 | 2014-05-21 | 国家电网公司 | Cloud-model-based power distribution network fault risk identification method |
| CN106203714A (en) * | 2016-07-14 | 2016-12-07 | 国网山东省电力公司电力科学研究院 | Consider the HVDC transmission system maintenance optimization method on opportunity of operation of power networks risk |
| CN108287290A (en) * | 2017-12-25 | 2018-07-17 | 国网江西省电力有限公司抚州供电分公司 | A kind of power grid cascading fault pre-alarming analysis system based on the operation of big regional power grid |
-
2018
- 2018-07-27 CN CN201810844401.3A patent/CN108923083B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080294357A1 (en) * | 2007-05-21 | 2008-11-27 | The Boeing Company | Risk assessment of metal vapor arcing |
| CN103810533A (en) * | 2013-08-15 | 2014-05-21 | 国家电网公司 | Cloud-model-based power distribution network fault risk identification method |
| CN106203714A (en) * | 2016-07-14 | 2016-12-07 | 国网山东省电力公司电力科学研究院 | Consider the HVDC transmission system maintenance optimization method on opportunity of operation of power networks risk |
| CN108287290A (en) * | 2017-12-25 | 2018-07-17 | 国网江西省电力有限公司抚州供电分公司 | A kind of power grid cascading fault pre-alarming analysis system based on the operation of big regional power grid |
Non-Patent Citations (2)
| Title |
|---|
| RYAN P.J. STOCKER等: "Effects of Sleep Loss on Subjective Complaints and Objective", 《ARCHIVES OF CLINICAL NEUROPSYCHOLOGY》 * |
| 梁俊义等: "带电检测技术在智能电网状态检修模式中的应用研究", 《商品与质量》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108923083B (en) | 2022-01-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12057558B2 (en) | System for dynamic management and control of lithium battery energy storage system | |
| CN104360285B (en) | A kind of battery capacity modification method based on improved ampere-hour integration method | |
| CN205898880U (en) | Parallelly connected battery branch circuit current detection device | |
| CN109193719B (en) | Modeling method and system for evaluating aggregation frequency modulation performance of distributed energy storage system | |
| US11054475B2 (en) | Electric storage capacity estimation apparatus and method for operating the same | |
| CN104571058A (en) | Remote online intelligent monitoring system for storage batteries | |
| CN107817448B (en) | Method for online real-time monitoring of battery electric quantity suitable for complex working conditions | |
| WO2020164322A1 (en) | Unigram model-based low-voltage user loop impedance estimation method | |
| CN105223517A (en) | The online balanced monitoring method of a kind of battery pack | |
| CN106501734B (en) | The voltage acquisition fault handling method and device of battery management system | |
| CN107134977B (en) | A kind of family use up storage all-in-one machine test method | |
| CN117691645B (en) | Energy storage system for intelligent micro-grid | |
| CN204515489U (en) | Accumulator remote online intelligent monitor system | |
| CN103424699A (en) | Method for detecting capacity of storage battery | |
| CN109921103B (en) | Maintenance method and system for storage battery pack and maintenance method and system for storage battery | |
| KR102302760B1 (en) | Intelligent power management system for preventing fire of energy storage system and degradation of battery performance | |
| CN111007411B (en) | Electric quantity state correction method of energy storage battery system | |
| WO2019019561A1 (en) | Detection and maintenance method and device for server power supply system | |
| CN105425168A (en) | Storage battery capacity detection method and apparatus in power supply system | |
| CN117969990A (en) | Line loss analysis method based on solar line loss rate curve characteristics of transformer area | |
| CN115877228B (en) | Storage battery charge and discharge monitoring method and system with remote nuclear capacity | |
| CN105514843B (en) | A kind of 750kV substation secondary device repair methods based on Monitoring Data | |
| CN108923083A (en) | A method of battery on-line checking and maintenance based on risk assessment | |
| CN205070555U (en) | Online balanced monitoring system of storage battery | |
| CN205406668U (en) | Unmanned aerial vehicle machine carries high voltage high power capacity battery management device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |