CN104569838B - The evaluation method of container energy storage device core component based on remote monitoring - Google Patents
The evaluation method of container energy storage device core component based on remote monitoring Download PDFInfo
- Publication number
- CN104569838B CN104569838B CN201410812344.2A CN201410812344A CN104569838B CN 104569838 B CN104569838 B CN 104569838B CN 201410812344 A CN201410812344 A CN 201410812344A CN 104569838 B CN104569838 B CN 104569838B
- Authority
- CN
- China
- Prior art keywords
- data
- battery
- feature point
- actual
- characteristic point
- 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.)
- Active
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 48
- 239000008358 core component Substances 0.000 title claims abstract description 30
- 238000004146 energy storage Methods 0.000 title claims abstract description 22
- 238000012544 monitoring process Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 25
- 239000000178 monomer Substances 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000007599 discharging Methods 0.000 claims description 5
- 230000005611 electricity Effects 0.000 claims description 5
- 238000010835 comparative analysis Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 4
- 239000002253 acid Substances 0.000 description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229910001416 lithium ion Inorganic materials 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000012356 Product development Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- OJIJEKBXJYRIBZ-UHFFFAOYSA-N cadmium nickel Chemical compound [Ni].[Cd] OJIJEKBXJYRIBZ-UHFFFAOYSA-N 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910052987 metal hydride Inorganic materials 0.000 description 1
- 229910052759 nickel Inorganic materials 0.000 description 1
- PXHVJJICTQNCMI-UHFFFAOYSA-N nickel Substances [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 1
- -1 nickel metal hydride Chemical class 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Landscapes
- Secondary Cells (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
The present invention relates to a kind of evaluation method of core component in container energy storage device based on remote monitoring, methods described comprises the following steps：Establish the standard curve view of monomer battery data under standard feature point；Remote server obtains the cell actual characteristic point data in real time, establishes the actual curve view of cell battery data under the actual characteristic point data；The actual curve view of the battery data of same characteristic point is analyzed compared with the standard curve view of the battery data；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate；According to this feature point evaluation of estimate and the characteristic point weights according to actual conditions determination, the project appraisal value of every money cell is calculated, has reached the selection science of core component, it is more scientific, it is objective and accurate, save time cost and the advantageous effects of financial cost.
Description
Technical field
The present invention relates to container energy storage device, more particularly to the evaluation method of container energy storage device core component.
Background technology
In recent years, with the development of renewable energy technologies and energy storage technology, power supply to remote unmanned area is from setting
Want to become possible to.Wherein container energy storage device is wherein more representative equipment, is led in generation of electricity by new energy, operation of power networks etc.
Domain plays key player.But energy storaging product development time is shorter, (core component is outstanding for the core component in container energy storage device
It is battery) quality testing also without unified national standard, the core component quality for production of respectively getting married is uneven because
Energy storage core parts performance is environmentally sensitive, and the change of external environment can make the performance of core component change, even if spending
Substantial amounts of time and financial cost are authenticated to core component, can not confirm that core component meets wanting for actual working environment
Ask, if having selected the core component for not meeting actual working environment requirement applied in container energy storage device, the energy storage is set
It is standby not to be well positioned to meet actual power needs, it may also reduce container energy storage device service life, to cause very big economy wave
Take, at present, for the also no effective selection gist of selection of core component, can only be done often according to the specifications that supplier provides
The selection of rule, it is therefore, a kind of to select the method for core component to turn into urgent problem to be solved according to the requirement of actual working environment.
The content of the invention
The purpose of the present invention is exactly not have effective present foundation to solve existing container energy storage device core component,
The technical problem of the core component performance can only be judged by specifications and demarcation situation of dispatching from the factory, the present invention provides one kind and is based on
The evaluation method of core component in the container energy storage device of remote monitoring.The concrete technical scheme of the present invention is as follows：
A kind of evaluation method of the container energy storage device core component based on remote monitoring, methods described include following step
Suddenly：
Establish the standard curve view of monomer battery data under standard feature point；The characteristic point is electric to influence the monomer
The various sensible factors of pond performance；
Remote server obtains the cell actual characteristic point data in real time, establishes the cell in the reality
The actual curve view of battery data under the characteristic point data of border；
By the actual curve view of the battery data of same characteristic point and the standard curve view of the battery data
It is compared analysis；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate；
According to this feature point evaluation of estimate and the characteristic point weights determined according to actual conditions, every money monomer is calculated
The project appraisal value of battery.
Further, it is described to establish before the standard curve view of the cell data under standard feature point, institute
Stating step also includes：
Unique ID marks are established for the cell, the ID indicates for distinguishing every money cell.
Further, methods described also includes：
The characteristic point include longitude and latitude, height above sea level, ambient humidity, whether there is thunderstorm, charging and discharging currents, euqalizing current and
It is at least one in scalar period.
Further, described to establish under standard feature point after the standard curve view of the battery, methods described is also wrapped
Include：
Establish the standard feature point influence amount of each characteristic point.
Further, the mark of the actual curve view by battery data described in same characteristic point and the battery data
Directrix curve view is compared analysis, is handled by the weighting to analyze data, obtains cell in this feature point evaluation of estimate
Specific method include：
The standard curve of the actual curve view and the battery data by battery data described in same characteristic point regards
Figure is compared, and is recorded the data catastrophe point under this feature point, is calculated the uniformity of data and the actual influence amount of this feature point；
Weighting processing is done by the actual influence amount of the catastrophe point to the data, the uniformity of data and this feature point,
Obtain evaluation of estimate of the cell in this feature point.
Further, methods described also includes：
The standard curve view of the actual curve view of battery data described in same characteristic point and the battery data is entered
Row comparative analysis, draw the actual influence amount of this feature point；
Compare fact characteristic point influence amount and the standard feature point influence amount, draw deviation, the deviation exceeds
During the threshold value of setting, the influence amount of this feature point is updated.
Further, the specific method bag for establishing the standard curve view of the battery data under standard feature point
Include：
Under standard feature point, the battery once under complete charge and discharge process the battery data change curve.
Further, in voltage of the battery data including the battery, electric current, battery temperature and battery capacity extremely
It is few one.
Further, the tool of battery actual curve view of the battery under the actual characteristic point data is established
Body method includes：
When analyzing a characteristic point, choose the characteristic point in addition to this feature point and do not change or change less multigroup number
According to establishing the actual curve view of this feature point.
Compared to prior art, the present invention provides a kind of commenting for container energy storage device core component based on remote monitoring
Valency method, the present invention collects data by remote monitoring means, using big data during the use of core component, to its core
The working condition of center portion part monitor and assess in real time, and difference is done for every kind of different manufacturers, the core component of different size
The independent comparison of characteristic point, the comparison of the peculiar condition of work under characteristic point, obtain different material under each characteristic point not
With evaluation, when carrying out core component selection, different weights are given to different characteristic point according to the condition of reality, are weighted counting
After calculation, uniquely evaluated and sorted, optimum selecting.Main beneficial effect is：Selection to core component is more scientific, can root
Continuous amendment is factually trampled, it is objective and accurate, save time cost and financial cost.
Brief description of the drawings
Fig. 1 is the evaluation method of the container energy storage device core component based on remote monitoring of the embodiment of the present invention 1
Steps flow chart schematic diagram.
Fig. 2 is the evaluation method of the container energy storage device core component based on remote monitoring of the embodiment of the present invention 2
Steps flow chart schematic diagram.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.
Embodiment 1
Refer to shown in Fig. 1.
The present invention provides a kind of evaluation method of core component in container energy storage device based on remote monitoring, the side
Method comprises the following steps：
S1：Establish the standard curve view of monomer battery data under standard feature point.
It should be noted that core component of the present invention is cell, the cell can be plumbic acid electricity
Pond, nickel-cadmium cell, nickel metal hydride battery, lithium ion battery, lithium ion polymer battery, zinc-air battery or fused salt electricity
Pond.
The lead-acid battery includes " pregnant solution type " and " valve-regulated " lead-acid accumulator.
The characteristic point to influence the various sensible factors of the cell performance, the characteristic point include longitude and latitude,
Height above sea level, environment temperature, humidity, whether there is at least one of thunderstorm, charging and discharging currents, euqalizing current and scalar period etc..
S2：Remote server obtains the cell actual characteristic point data in real time, establishes the cell in institute
State the actual curve view of battery data under actual characteristic point data.
S3：The standard curve of the actual curve view and the battery data of the battery data of same characteristic point is regarded
Figure is compared analysis；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate.
S4：According to this feature point evaluation of estimate and the characteristic point weights determined according to actual conditions, every money is calculated
The project appraisal value of cell.
Embodiment 2
Refer to shown in Fig. 2.
The present invention provides a kind of evaluation method of core component in container energy storage device based on remote monitoring, the side
Method comprises the following steps：
S1：Unique ID marks are established for cell described in every money, the ID indicates for distinguishing every money cell.
S2：Establish the standard curve view of monomer battery data under standard feature point.
It should be noted that various sensible factors of the characteristic point for the influence cell performance.
The characteristic point includes longitude and latitude, height above sea level, humidity, whether there is thunderstorm, charging and discharging currents, euqalizing current and demarcation
It is at least one in cycle；
S3：Establish the standard feature point influence amount of each characteristic point.
Influenceed it is understood that the specifications provided according to battery producer establish initial characteristic point for each money battery
Amount.By taking environment temperature characteristic point as an example：Using environment temperature as abscissa K1, K2 ... of curve view, ordinate is each
The difference of working condition and normal temperature (24 DEG C) working condition.The characteristic point influence amount can be fault rate, and e.g., environment temperature is every
Rise 20 degrees Celsius, fault rate improves 20%.K can be the function curve of a fixed value or a fitting, described
The definite value that the initial value of the function curve of fitting can be provided by producer.
S4：Obtain the cell actual characteristic point data in real time by remote server, establish the cell
The actual curve view of battery data under the actual characteristic point data.
S5：By the actual curve view of battery data described in same characteristic point and the standard curve view of the battery data
Analysis is compared, draws the actual influence amount of this feature point.
S6：Compare fact characteristic point influence amount and the standard feature point influence amount, draw deviation, the deviation surpasses
When going out the threshold value of setting, influence amount and the storage of this feature point are updated.
S7：The standard curve of the actual curve view and the battery data of the battery data of same characteristic point is regarded
Figure is compared analysis；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate.
S8：According to this feature point evaluation of estimate and the characteristic point weights determined according to actual conditions, every money is calculated
The project appraisal value of cell.
Embodiment 3
Referring to shown in Fig. 1.
The present invention provides a kind of evaluation method of core component in container energy storage device based on remote monitoring, the side
Method comprises the following steps：
S1:Establish the standard curve view of monomer battery data under standard feature point；The characteristic point is the influence list
The various sensible factors of body battery performance.
The standard curve view be height above sea level close to 0,24 DEG C of temperature, the charging and discharging curve recommended without thunderstorm, battery producer
Lower progress discharge and recharge, without in the case of balanced and once calibrated, the battery once battery under complete charge and discharge process
The change curve of data.Battery data includes at least one in voltage, electric current, battery temperature and the battery capacity of the battery
It is individual.
S2:Remote server obtains the cell actual characteristic point data in real time, establishes the cell in institute
State the actual curve view of battery data under actual characteristic point data.
It should be noted that remote server obtains the cell actual characteristic point data in real time, for example, certain is for the moment
Carve, the environment temperature is S, humidity A, battery temperature B, and when latitude is X, under the fact characteristic point, battery fills
Discharge current is Z, euqalizing current C.Because external environmental factor is change, actual characteristic point data is real-time change,
Therefore the remote server obtains multi-group data, when analyzing a characteristic point, chooses the characteristic point in addition to this feature point
Do not change or change less multi-group data, establish the actual curve view of this feature point.Such as analysis humidity this characteristic point
When, the data value of selection environment temperature, battery temperature and latitude is unchanged or changes less multi-group data, establishes characteristic point
Actual curve view.
S3:The standard curve of the actual curve view and the battery data of the battery data of same characteristic point is regarded
Figure is compared analysis；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate.
S31:The standard of the actual curve view by battery data described in same characteristic point and the battery data is bent
Line view is compared, and is recorded the data catastrophe point under this feature point, is calculated the uniformity of data and the actual shadow of this feature point
Ring amount；
S32:Done by the actual influence amount of the catastrophe point to the data, the uniformity of data and this feature point at weighting
Reason, obtain evaluation of estimate of the cell in this feature point.
It should be noted that by taking environment temperature this characteristic point as an example：According to the sensitivity of temperature change, environment temperature
Degree refinement, such as T=10 DEG C of Δ, then can draw T=-30, the electricity of multiple temperature ranges such as -20, -10,0,10,20,30,40,50
Pond operational data curve, such as p- 25 DEG C -- (battery temperature-charging current) curve of 15 DEG C of the course of work.It is complete for one
The time of full employment process is longer, and environment temperature is consecutive variations, may be in same drafting area, it is impossible to draw complete job
Process, then data fitting is done by multiple fragment curves, it is final to obtain one group of fitting condition curve that can be used for analysis, this state
The curve of curve and reference battery (reference battery temperature-charging current curve) is contrasted, and obtains deviation.Same mode
Analyzed to other temperature ranges, then can to battery temperature curve under identical charging current with variation of ambient temperature
Relation do a trend curve, it is A1 to obtain battery temperature influence amount influenced by ambient temperature by mathematical computations, similarly also
Other battery datas influence amount A2, A3 ... influenced by ambient temperature can be obtained
The characteristic point evaluation of estimate of this characteristic point of the environment temperature=∑ battery data weights * battery data is by environment temperature
Influence amount.
The battery data weights are to need to be adjusted according to actual parameter.
S4:According to this feature point evaluation of estimate and the characteristic point weights determined according to actual conditions, every money is calculated
The project appraisal value of cell.Evaluation of estimate is sorted, according to the supply model of cell described in evaluation of estimate optimum selecting.
It should be noted that the physical location of cell application is had nothing in common with each other, the evaluation of the cell with
Selection it is related to the condition of these physical locations, therefore the evaluation of the cell and select in units of project, Mei Gexiang
Mesh for it is respective the characteristics of different weights are determined to respective characteristic point.The same characteristic features point evaluation of estimate of disparity items is identical,
But account for weighted.
Such as：Characteristic point weights are judged according to actual conditions, highlands, height, temperature weights are higher than other
Characteristic point weights；Extremely frigid zones, temperature weights are higher than other characteristic point weights.After the weights of confirmation, so per money cell
Evaluation of estimate just for each project, the same a battery of A projects and B projects, evaluation of estimate is different.
Cell project appraisal value=∑ characteristic point weights * characteristic point evaluations of estimate.
It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to preferable
The present invention is described in detail embodiment, it will be understood by those within the art that, can be to the technology of the present invention
Scheme is modified or equivalent substitution, and without departing from the spirit and scope of technical solution of the present invention, it all should cover in this hair
Among bright right.
Claims (9)
- A kind of 1. evaluation method of the container energy storage device core component based on remote monitoring, it is characterised in that methods described Comprise the following steps：Establish the standard curve view of monomer battery data under standard feature point；The characteristic point is the influence cell The various sensible factors of energy；Remote server obtains the cell actual characteristic point data in real time, establishes the cell described actual special Levy the actual curve view of battery data under point data；The standard curve view of the actual curve view of the battery data of same characteristic point and the battery data is carried out Comparative analysis；Handled by the weighting to analyze data, obtain cell in this feature point evaluation of estimate；According to this feature point evaluation of estimate and the characteristic point weights determined according to actual conditions, the item of every money cell is calculated Mesh evaluation of estimate.
- 2. evaluation method according to claim 1, it is characterised in that the monomer electricity established under standard feature point Before the standard curve view of pond data, the step also includes：Unique ID marks are established for the cell, the ID indicates for distinguishing every money cell.
- 3. evaluation method according to claim 1, it is characterised in that methods described also includes：The characteristic point includes longitude and latitude, height above sea level, ambient humidity, whether there is thunderstorm, charging and discharging currents, euqalizing current and demarcation It is at least one in cycle.
- 4. evaluation method according to claim 1, it is characterised in that described to establish the cell under standard feature point After the standard curve view of data, methods described also includes：Establish the standard feature point influence amount of each characteristic point.
- 5. evaluation method according to claim 1, it is characterised in that the reality by battery data described in same characteristic point Border curve view is analyzed compared with the standard curve view of the battery data, is handled by the weighting to analyze data, Obtain cell includes in the specific method of this feature point evaluation of estimate：The standard curve view of the actual curve view by battery data described in same characteristic point and the battery data enters Row compares, and records the actual influence amount of this feature point；By doing weighting processing to the actual influence amount of this feature point, evaluation of estimate of the cell in this feature point is obtained.
- 6. evaluation method according to claim 4, it is characterised in that methods described also includes：The standard curve view of the actual curve view of battery data described in same characteristic point and the battery data is compared Compared with analysis, the actual influence amount of this feature point is drawn；Compare fact characteristic point influence amount and the standard feature point influence amount, draw deviation, the deviation is beyond setting Threshold value when, update this feature point influence amount.
- 7. evaluation method according to claim 1, it is characterised in that described to establish the cell under standard feature point The specific method of the standard curve view of data includes：Under standard feature point, the battery once under complete charge and discharge process the battery data change curve.
- 8. evaluation method according to claim 7, it is characterised in that voltage of the battery data including the battery, It is at least one in electric current, battery temperature and battery capacity.
- 9. evaluation method according to claim 1, it is characterised in that establish the battery in the actual characteristic point data Under the specific method of actual curve view of the battery include：When analyzing a characteristic point, choose the characteristic point in addition to this feature point and do not change or change less multi-group data, build The actual curve view of vertical this feature point.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410812344.2A CN104569838B (en) | 2014-12-23 | 2014-12-23 | The evaluation method of container energy storage device core component based on remote monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410812344.2A CN104569838B (en) | 2014-12-23 | 2014-12-23 | The evaluation method of container energy storage device core component based on remote monitoring |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104569838A CN104569838A (en) | 2015-04-29 |
| CN104569838B true CN104569838B (en) | 2017-11-21 |
Family
ID=53086361
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410812344.2A Active CN104569838B (en) | 2014-12-23 | 2014-12-23 | The evaluation method of container energy storage device core component based on remote monitoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104569838B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105242211B (en) * | 2015-09-02 | 2019-03-26 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of all-vanadium flow battery failure quickly detects localization method |
| CN108008315B (en) * | 2017-11-29 | 2019-02-19 | 北斗航天汽车（北京）有限公司 | Battery data diagnostic method and system |
| CN110531276B (en) * | 2019-09-05 | 2022-04-26 | 江苏智蓝电源科技有限公司 | Battery condition detection method and device |
| CN115792629B (en) * | 2022-11-21 | 2024-04-02 | 惠州因博利电子科技有限公司 | Alarm monitoring system and method for lithium battery energy storage |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1697245A (en) * | 2004-05-14 | 2005-11-16 | 松下电器产业株式会社 | Cell evaluation device |
| CN1890574A (en) * | 2003-12-18 | 2007-01-03 | 株式会社Lg化学 | Apparatus and method for estimating state of charge of battery using neural network |
| CN102620942A (en) * | 2012-04-23 | 2012-08-01 | 山东大学 | Matching evaluation test bed of pure electric automobile power driving system |
| CN103522911A (en) * | 2013-10-25 | 2014-01-22 | 中国科学技术大学 | Electric vehicle battery management system with system evaluating function |
| CN103616644A (en) * | 2013-11-29 | 2014-03-05 | 武汉理工大学 | Method for evaluating properties of storage batteries in different types |
| CN103792495A (en) * | 2014-01-29 | 2014-05-14 | 北京交通大学 | Method for evaluating battery performance based on Delphi method and grey relation theory |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201044287A (en) * | 2009-06-01 | 2010-12-16 | Open Minder Group Ltd | System and method for evaluating power |
| CN105247379B (en) * | 2013-05-03 | 2019-04-09 | 力博特公司 | The system and method analyzed for uninterruptible power supply battery detection and data |
-
2014
- 2014-12-23 CN CN201410812344.2A patent/CN104569838B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1890574A (en) * | 2003-12-18 | 2007-01-03 | 株式会社Lg化学 | Apparatus and method for estimating state of charge of battery using neural network |
| CN1697245A (en) * | 2004-05-14 | 2005-11-16 | 松下电器产业株式会社 | Cell evaluation device |
| CN102620942A (en) * | 2012-04-23 | 2012-08-01 | 山东大学 | Matching evaluation test bed of pure electric automobile power driving system |
| CN103522911A (en) * | 2013-10-25 | 2014-01-22 | 中国科学技术大学 | Electric vehicle battery management system with system evaluating function |
| CN103616644A (en) * | 2013-11-29 | 2014-03-05 | 武汉理工大学 | Method for evaluating properties of storage batteries in different types |
| CN103792495A (en) * | 2014-01-29 | 2014-05-14 | 北京交通大学 | Method for evaluating battery performance based on Delphi method and grey relation theory |
Non-Patent Citations (1)
| Title |
|---|
| 电动汽车用电池单体的选择与评价;王雯婷等;《2013中国汽车工程学会年会论文集》;20131231;304-308 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104569838A (en) | 2015-04-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106093778B (en) | Battery status prediction technique and system | |
| CN106597305B (en) | A kind of Cycle life prediction method of lithium ion battery | |
| Thorbergsson et al. | Primary frequency regulation with Li-ion battery based energy storage system-evaluation and comparison of different control strategies | |
| CN116502112B (en) | New energy power supply test data management method and system | |
| CN110333463B (en) | Battery cell consistency screening method and system | |
| CN104569838B (en) | The evaluation method of container energy storage device core component based on remote monitoring | |
| Asaad et al. | IoT enabled electric vehicle’s battery monitoring system | |
| CN108107372A (en) | Accumulator health status quantization method and system based on the estimation of SOC subregions | |
| CN104316879B (en) | A kind of prediction technique in lead-acid batteries service life | |
| CN108037462A (en) | Storage battery health status quantization method and system | |
| CN110018422B (en) | Battery management method and device | |
| CN108169680A (en) | Power battery health state evaluation method, system and electric vehicle | |
| CN108318825A (en) | Reuse the residual value appraisal procedure of accumulator | |
| CN109061478A (en) | A method of it is tested using EIS and carries out lithium ion battery service life qualitative forecasting | |
| CN106646252A (en) | Lead acid battery service life prediction method | |
| CN103997052A (en) | A method for controlling the active power of multiple energy-storage power stations | |
| CN108732499A (en) | A kind of method and system of detection cycle life of lithium ion battery | |
| CN107167739A (en) | A kind of electrokinetic cell life-span prediction method | |
| CN110118937A (en) | The storage battery charge state edge calculations optimizing detection method of adaptive prediction model | |
| CN112180279A (en) | Retired battery health state diagnostic expert system | |
| CN111460656A (en) | Method and system for evaluating operation life of communication power supply of electric power machine room | |
| CN115986874A (en) | Battery charging safety monitoring and early warning method and system | |
| Hallmann et al. | Methods for lithium-based battery energy storage SOC estimation. Part I: Overview | |
| Liu et al. | Self-discharge prediction method for lithium-ion batteries based on improved support vector machine | |
| Chen et al. | State of health estimation of lithium-ion batteries based on equivalent circuit model and data-driven method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |