CN106776940A - A kind of magnanimity battery data statistics look-up table building method and system - Google Patents
A kind of magnanimity battery data statistics look-up table building method and system Download PDFInfo
- Publication number
- CN106776940A CN106776940A CN201611095060.1A CN201611095060A CN106776940A CN 106776940 A CN106776940 A CN 106776940A CN 201611095060 A CN201611095060 A CN 201611095060A CN 106776940 A CN106776940 A CN 106776940A
- Authority
- CN
- China
- Prior art keywords
- data
- result
- battery
- subsystem
- voltage
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Abstract
The present invention provides a kind of magnanimity battery data statistics look-up table building method and system, and methods described comprises the following steps：(1) pending data are selected according to analysis object, monitoring range and statistical indicator；(2) data statistic analysis result, and retrieval result data are calculated according to statistical indicator type；(3) the displaying type according to setting matches corresponding display state to each retrieval result；(4) result data is shown in space-time two-dimension table.The system includes the power station service data storage subsystem, data statistic analysis subsystem, analysis result storage subsystem, data retrieval subsystem, display state matching subsystem and the result displaying subsystem that are sequentially connected.The present invention proposes a kind of while in time and the look-up table display methods and its system of two, space dimension display data statistic analysis result directly perceived, can effectively aid in carrying out energy-accumulating power station operation monitoring work.
Description
Technical field
The present invention relates to extensive technical field of energy storage, and in particular to a kind of extensive battery energy storage power station magnanimity cell number
Result look-up table building method and its system according to statistics.
Background technology
Battery energy storage power station in national wind-light storage transmission demonstration project (phase) puts into operation, and its disposal ability is 20MW, comprising
14MW/63MWh lithium ion battery energy storage systems, 2MW/8MWh redox flow battery energy storage systems, the storage of 2MW/1MWh lithium titanate batteries
Can system, 2MW/12MWh lead-acid battery energy-storage systems.Substantial amounts of battery cell, battery are included in high capacity cell energy-storage system
Group string, there is substantial amounts of data message.Energy storage monitor system is gathered and stores related data, because data type is more, quantity big, by
Gradually form mass data.
The Monitoring Data obtained by extensive energy-accumulating power station monitoring system, and the statistical carried out based on these data
Analysis is as a result, it is possible to situation about being run from the various dimensions such as time, space reflection energy-accumulating power station.How the grasp of quicklook these system
The regularity of distribution of meter analysis result, and then understand the ruuning situation in power station, it is an important research contents.
State key research and development plan in 2016 is special《100MWh grades of novel lithium battery scale energy storage technology exploitation and application》
And its problem 5《Large-scale energy storage system based on new type lithium ion battery is integrated and Applied D emonstration》Deng formal startup, correlation weight
Point technical research is carried out in order.Battery and modular character Evaluation Platform of the research and development based on battery operation mass data, for
Novel lithium battery monomer and performance of battery module, the application effect of 100MWh novel lithium battery energy-storage systems etc. carry out technology water
Flat checking, it is one of primary study content to grasp associated verification technology.It is currently based on the battery and its module of magnanimity battery data
Still belong to the starting stage with whole system performance evaluation and assessment aspect research, need development numerous studies and mass data analysis badly
The application effect of model development, verification algorithm and model.
Mass data is currently based on to the research in terms of the analysis of energy-accumulating power station ruuning situation seldom, on statistics
Efficient convenient displaying and lookup in terms of research method and publication be then nearly at space state.On how fast direct
The regularity of distribution for grasping these statistic analysis results of sight, and then understand the ruuning situation aspect of extensive battery energy storage power station,
Also lack targetedly effective way.
The content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of magnanimity battery data statistics look-up table structure
Make method and system, the present invention proposes a kind of while in time and two, space dimension display data statistic analysis result directly perceived
Look-up table display methods, can effectively aid in carrying out energy-accumulating power station operation monitoring work.
In order to realize foregoing invention purpose, the present invention is adopted the following technical scheme that：
A kind of magnanimity battery data statistics look-up table building method, methods described comprises the following steps：
Step (1) selects pending data according to analysis object, monitoring range and statistical indicator；
Step (2) calculates data statistic analysis result, and retrieval result data according to statistical indicator type；
Step (3) matches corresponding display state according to the displaying type of setting to each retrieval result；
Step (4) builds the space-time two-dimension table for statistics inquiry, and shows result data in space-time two-dimension table.
Preferably, in the step (1), the analysis object includes battery pack string, battery module and battery cell, described
Monitoring range includes two dimensions of spatial dimension and time range, and spatial dimension corresponds to the electricity in certain space structure upper administration
Pond, including battery variety and topological structure, the analysis time that time range corresponds to setting are interval, and the statistical indicator includes electricity
Pond performance indications, monomer voltage maximum, monomer voltage minimum value.
Preferably, the step (2) comprises the following steps：
Step 2-1, with time span T as cycle, calculate voltage extreme difference in the range of seclected time corresponding to each cycle,
Voltage standard is poor, temperature extreme difference, temperature standard difference statistical indicator；
Step 2-2, four kinds of indexs are respectively divided out N kind grades, judge each index not according to maximum membership grade principle
The weight of ad eundem, using the maximum grade of grade weight as integrated level.
Preferably, in the step 2-1, the computing formula of the voltage extreme difference and the temperature extreme difference is as follows：
ΔVmax=Vmax-Vmin
ΔTmax=Tmax-Tmin
The computing formula of the poor and described temperature standard difference of the voltage standard is as follows：
Wherein, Δ VmaxIt is voltage extreme difference；ΔTmaxIt is temperature extreme difference；δTFor temperature standard is poor；δVFor voltage standard is poor；Vmax
It is the monomer battery voltage maximum in a Battery pack；TmaxIt is the cell temperature maximum in a Battery pack, TminIt is one
Cell temperature minimum value in Battery pack, VminIt is the monomer battery voltage minimum value in a Battery pack；N is a Battery pack
The total number of middle battery cell；ViIt is i-th battery cell voltage in a Battery pack；VmIt is all battery cells in a Battery pack
Average voltage；TiIt is i-th battery cell temperature in a Battery pack；TmIt is all battery cell temperature-averagings in a Battery pack
Value.
Preferably, the step 2-2 comprises the following steps：
Step 2-2-1, the voltage extreme difference for determining each sampling instant, poor voltage standard, temperature extreme difference, temperature standard difference
Four kinds of evaluatings；
Step 2-2-2, multiple intervals are marked off to every kind of evaluating result, calculate what the result in each interval occurred
Probability；The quantity of distributed area is represented with M, the cycle of whole statistics is represented with time span T, calculated using following formula and divided
Analysis result falls in each interval ratio：
In formula, pjIt is that voltage extreme difference falls in j-th ratio in interval, j ∈ M, dtVoltage extreme difference t ∈ T, s when being moment tj
It is the voltage extreme difference scope in j-th interval of setting, ctRepresent the extreme difference value at moment t in j-th statistical weight in interval, ct=0
Expression is not counted in statistics, ct=1 expression will count statistics, if dt∈sjThen ct=1, otherwise ct=0；For four kinds of evaluatings,
The battery performance index grade of the cycle T is determined according to maximum membership grade principle.
Preferably, in the step (2), the result data includes the label comprising battery pack string/module/monomer, with
And with the statistical series of Annual distribution.
Preferably, in the step (3), according to the displaying type of setting, using Linear Mapping method retrieval result and exhibition
Show that state is matched, comprise the following steps：
Step 3-1, to the statistic analysis result duplicate removal, shape composition intermediate result；
Step 3-2, to the intermediate result sequence obtain sequence to be mapped, if n is the length of the sequence, i is the sequence
The subscript of data in row, there is m dispaly state；Level (i) is i-th display level of data, according to mapping equation：
Floor () is represented and result of calculation is rounded downwards.
Preferably, in the step (4), based on the space-time two-dimension table that the step (1) to (3) is generated, spatially shape
It is and progressive according to the topological relation between battery between level and level into many levels including battery pack string/module/monomer
Browse, on each level, be the spatial dimension with step (1) as spatial axes, the time range with step (1) as time shaft,
Space-time two-dimension table of the dispaly state as content after step (3) mapping corresponding to room and time as subscript.
Preferably, a kind of magnanimity battery data statistics look-up table construction system, the system includes what is be sequentially connected
Power station service data storage subsystem, data statistic analysis subsystem, analysis result storage subsystem, data retrieval subsystem,
Display state matches subsystem and result displaying subsystem；
The power station service data storage subsystem, using distributed data library storage magnanimity battery detection data；
The data statistic analysis subsystem, runs according to analysis object, monitoring range and statistical indicator from the power station
Data are obtained in data storage subsystem, and according to the corresponding parser Calculation results of statistical indicator；
The analysis result storage subsystem, the analysis knot of generation is calculated for storing the data statistic analysis subsystem
Really；
The data retrieval subsystem, the data statistics of displaying is needed for being obtained from the analysis result storage subsystem
Analysis record；
The display state matches subsystem, and the analysis record for obtaining and displaying pattern are carried out according to displaying condition
Match somebody with somebody, the displaying pattern includes color matching and icon sets；
The result shows subsystem, result is visualized according to the display form after matching, there is provided based on the time
With the displaying form of two, space dimension.
Compared with prior art, the beneficial effects of the present invention are：
The present invention from battery topology, monitoring the time, statistical indicator multiple angles, the form exhibition retrieved and pass through two-dimensional table
Show power station ruuning situation, and color mark can be carried out to result according to the grade classification of setting.Grade classification has for one
The class set of limit for length's degree, the data set for retrieving is divided according to the length of class set, class set one group of face of correspondence
Color color matching from the superficial to the deep, each retrieval result is matched colors accordingly according to the division matching in data set, and in bivariate table
Coloured.The statistical nature that power station is run can intuitively be shown by this COLOR COMPOSITION THROUGH DISTRIBUTION, scheme is simple and easy to apply, is especially suitable for
The monitoring application of magnanimity battery.
Brief description of the drawings
Fig. 1 is a kind of magnanimity battery data statistics look-up table building method flow chart that the present invention is provided,
Fig. 2 is a kind of magnanimity battery data statistics look-up table construction system schematic that the present invention is provided,
Fig. 3 is that a kind of magnanimity battery data statistics look-up table space aspects browsing data that the present invention is provided is illustrated
Figure,
Fig. 4 is the topological structure schematic diagram of one energy-storage units of BESS batteries in example of the present invention.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in figure 1, the present invention implements example provides a kind of magnanimity battery data statistics look-up table building method,
Comprise the following steps：
Step 1, the data pending according to the selection of the conditions such as object, monitoring range and statistical indicator is analyzed；
Batteries integrated delimit a region in Spatial Dimension, take the module of first group of ATL batteries first module for analysis is right
As with cell grade as statistical indicator, it is assumed that the time is 10 days, and statistic period T is day, and look-up table is displayed in daily in 10 days
Data variation trend.
Step 2, foundation statistical indicator type calculate data statistic analysis result.
By taking cell grade as an example, all modules in a battery pack string are estimated successively, evaluation index includes 4
Kind, it is respectively that voltage extreme difference, the voltage standard of the module are poor, temperature extreme difference and temperature standard are poor.To every kind of evaluation index, divide
Cheng You, neutralization differ from three kinds of grades, each grade one scope of analysis result of correspondence.By taking voltage extreme difference as an example, extreme difference value falls
[0, V1) interval table prescribed voltage extreme difference be it is excellent, extreme difference value fall [V1, V2) interval table prescribed voltage extreme difference Xiang Weizhong, extreme difference value falls
[V2, ∞) interval table prescribed voltage extreme difference is poor.
For four kinds of evaluation indexes, if it is poor situation that grade occurs in one of which, the ranking of the module is
Difference, otherwise judges the excellent weight with according to maximum membership grade principle, and the weight of which kind of grade is big, then the module is taken as this
Plant grade.After all battery packs are carried out with statistical analysis, according to the condition that previous step sets, by data retrieval subsystem from
Corresponding record is inquired about in analysis result, and subsequent step is returned to JSON forms.
As a example by shown in following table, cell grade analysis result fragment of the battery pack string in 10 days is represented.Wherein,
BESS-1-1 represents first group string of BESS batteries.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| BESS-1-1 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | 1 | 3 | 1 |
In above table, data sequence 3,2,2,1,2,2,1,1,3,1 represents daily cell grade respectively, and 1 represents
Excellent, 2 expressions are medium, 3 represent difference etc..The data form for returning is inquired about by data retrieval subsystem as follows：
Step 3, matches result of calculation with dispaly state using a point bit mapping method.
First to the above results duplicate removal, shape constitutes intermediate result (3,2,1), then obtains to be mapped to middle sort result
Sequence be (1,2,3).If n=3 is the length of the sequence, i is the subscript of data in the sequence, it is assumed that have m=3 display shape
State (a, b, c), level (i) is the dispaly state of data i, according to mapping equation：
Show that the corresponding dispaly state of each analysis result is respectively：
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| BESS-1-1 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | 1 | 3 | 1 |
| level | c | b | b | a | b | b | a | a | c | a |
The state sequence of displaying is represented by the level data c, b, b, a, b, b, a, a, c, a that are formed after state matching conversion
Row, these states will be determined at the form of result displaying.
Step 4, in space-time two-dimension table show result data.
Corresponding background colour is marked according to the corresponding color rendering intent of result.In two dimension displaying output, horizontal time shaft pair
Time series incremental by date is should be, covers every day of selected time period, longitudinal space axle is each module.
In sum, a kind of magnanimity battery data statistics look-up table building method, can not only be empty in battery topology
Between and monitoring time two dimensions displaying power station ruuning situations, and various statistical indicators can be supported, additionally it is possible to statistical number
According to being divided, data area is distinguished with different colours, can very intuitive and convenient the whole power station of fast browsing operation shape
Condition.
As shown in Fig. 2 a kind of magnanimity battery data statistics look-up table construction system, the system is including being sequentially connected
Power station service data storage subsystem, data statistic analysis subsystem, analysis result storage subsystem, data retrieval subsystem
System, display state matching subsystem and result displaying subsystem；
The power station service data storage subsystem, using distributed data library storage magnanimity battery detection data；
The data statistic analysis subsystem, runs according to analysis object, monitoring range and statistical indicator from the power station
Data are obtained in data storage subsystem, and according to the corresponding parser Calculation results of statistical indicator；
The analysis result storage subsystem, the analysis knot of generation is calculated for storing the data statistic analysis subsystem
Really；
The data retrieval subsystem, the data statistics of displaying is needed for being obtained from the analysis result storage subsystem
Analysis record；
The display state matches subsystem, and the analysis record for obtaining and displaying pattern are carried out according to displaying condition
Match somebody with somebody, the displaying pattern includes color matching and icon sets；
The result shows subsystem, result is visualized according to the display form after matching, there is provided based on the time
With the displaying form of two, space dimension.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention rather than its limitations, to the greatest extent
Pipe has been described in detail with reference to above-described embodiment to the present invention, and those of ordinary skill in the art should be understood：Still
Specific embodiment of the invention can be modified or equivalent, and without departing from any of spirit and scope of the invention
Modification or equivalent, it all should cover in the middle of scope of the presently claimed invention.
Claims (9)
1. a kind of magnanimity battery data statistics look-up table building method, it is characterised in that methods described comprises the following steps：
Step (1) selects pending data according to analysis object, monitoring range and statistical indicator；
Step (2) calculates data statistic analysis result, and retrieval result data according to statistical indicator type；
Step (3) matches corresponding display state according to the displaying type of setting to each retrieval result；
Step (4) builds the space-time two-dimension table for statistics inquiry, and shows result data in space-time two-dimension table.
2. building method according to claim 1, it is characterised in that in the step (1), the analysis object includes battery
Group string, battery module and battery cell, the monitoring range include two dimensions of spatial dimension and time range, spatial dimension pair
The battery that Ying Yu is affixed one's name in certain space structure upper, including battery variety and topological structure, time range correspond to dividing for setting
Analysis time interval, the statistical indicator includes battery performance index, monomer voltage maximum, monomer voltage minimum value.
3. building method according to claim 1, it is characterised in that the step (2) comprises the following steps：
Step 2-1, with time span T as cycle, calculate voltage extreme difference, voltage corresponding to each cycle in the range of seclected time
Standard deviation, temperature extreme difference, temperature standard difference statistical indicator；
Step 2-2, four kinds of indexs are respectively divided out N kind grades, judge each index not equal according to maximum membership grade principle
The weight of level, using the maximum grade of grade weight as integrated level.
4. building method according to claim 3, it is characterised in that in the step 2-1, the voltage extreme difference and the temperature
The computing formula for spending extreme difference is as follows：
ΔVmax=Vmax-Vmin
ΔTmax=Tmax-Tmin
The computing formula of the poor and described temperature standard difference of the voltage standard is as follows：
Wherein, Δ VmaxIt is voltage extreme difference；ΔTmaxIt is temperature extreme difference；δTFor temperature standard is poor；δVFor voltage standard is poor；VmaxIt is one
Monomer battery voltage maximum in Battery pack；TmaxIt is the cell temperature maximum in a Battery pack, TminIt is one group of electricity
Cell temperature minimum value in pond, VminIt is the monomer battery voltage minimum value in a Battery pack；N is electricity in a Battery pack
The total number of pond monomer；ViIt is i-th battery cell voltage in a Battery pack；VmIt is all battery cell voltages in a Battery pack
Average value；TiIt is i-th battery cell temperature in a Battery pack；TmIt is all battery cell temperature averages in a Battery pack.
5. building method according to claim 3, it is characterised in that the step 2-2 comprises the following steps：
Step 2-2-1, the voltage extreme difference for determining each sampling instant, poor voltage standard, temperature extreme difference, temperature standard difference four kinds
Evaluating；
Step 2-2-2, multiple intervals are marked off to every kind of evaluating result, calculate that the result in each interval occurs is general
Rate；The quantity of distributed area is represented with M, the cycle of whole statistics is represented with time span T, analysis is calculated using following formula
Result falls in each interval ratio：
In formula, pjIt is that voltage extreme difference falls in j-th ratio in interval, j ∈ M, dtVoltage extreme difference t ∈ T, s when being moment tjIt is to set
The voltage extreme difference scope in j-th fixed interval, ctRepresent the extreme difference value at moment t in j-th statistical weight in interval, ct=0 represents
It is not counted in statistics, ct=1 expression will count statistics, if dt∈sjThen ct=1, otherwise ct=0；For four kinds of evaluatings, according to
Maximum membership grade principle determines the battery performance index grade of the cycle T.
6. building method according to claim 1, it is characterised in that in the step (2), the result data include comprising
The label of battery pack string/module/monomer, and with the statistical series of Annual distribution.
7. building method according to claim 1, it is characterised in that in the step (3), according to the displaying type of setting,
Retrieval result is matched with display state using Linear Mapping method, is comprised the following steps：
Step 3-1, to the statistic analysis result duplicate removal, shape composition intermediate result；
Step 3-2, sequence to be mapped is obtained to intermediate result sequence, if n is the length of the sequence, during i is the sequence
The subscript of data, there is m dispaly state；Level (i) is i-th display level of data, according to mapping equation：
Floor () is represented and result of calculation is rounded downwards.
8. building method according to claim 1, it is characterised in that in the step (4), based on the step (1) to (3)
The space-time two-dimension table of generation, spatially being formed includes many levels of battery pack string/module/monomer, and level and level
Between browse according to the topological relation between battery is progressive, on each level, be the spatial dimension with step (1) as spatial axes,
Time range with step (1) as time shaft, the dispaly state after the mapping of step (3) corresponding to room and time as subscript
It is the space-time two-dimension table of content.
9. a kind of magnanimity battery data statistics look-up table constructs system, it is characterised in that the system includes being sequentially connected
Power station service data storage subsystem, data statistic analysis subsystem, analysis result storage subsystem, data retrieval subsystem
System, display state matching subsystem and result displaying subsystem；
The power station service data storage subsystem, using distributed data library storage magnanimity battery detection data；
The data statistic analysis subsystem, according to analysis object, monitoring range and statistical indicator from the power station service data
Data are obtained in storage subsystem, and according to the corresponding parser Calculation results of statistical indicator；
The analysis result storage subsystem, the analysis result of generation is calculated for storing the data statistic analysis subsystem；
The data retrieval subsystem, the data statistic analysis of displaying are needed for being obtained from the analysis result storage subsystem
Record；
The display state matches subsystem, the analysis record for obtaining is matched with displaying pattern according to displaying condition, institute
Stating displaying pattern includes color matching and icon sets；
The result shows subsystem, result is visualized according to the display form after matching, there is provided based on time and sky
Between two displaying forms of dimension.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611095060.1A CN106776940A (en) | 2016-12-01 | 2016-12-01 | A kind of magnanimity battery data statistics look-up table building method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611095060.1A CN106776940A (en) | 2016-12-01 | 2016-12-01 | A kind of magnanimity battery data statistics look-up table building method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106776940A true CN106776940A (en) | 2017-05-31 |
Family
ID=58884039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611095060.1A Pending CN106776940A (en) | 2016-12-01 | 2016-12-01 | A kind of magnanimity battery data statistics look-up table building method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106776940A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407006A (en) * | 2018-09-18 | 2019-03-01 | 深圳市新威尔电子有限公司 | Battery detecting data display method, display terminal and readable storage medium storing program for executing |
| CN109656975A (en) * | 2018-12-13 | 2019-04-19 | 上海航天电源技术有限责任公司 | Fault early warning system and method based on big data |
| CN111693879A (en) * | 2020-06-19 | 2020-09-22 | 安徽江淮汽车集团股份有限公司 | Method, device, storage medium and device for evaluating health state of battery system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090315698A1 (en) * | 2008-06-19 | 2009-12-24 | Eugene Michael Berdichevsky | Systems and methods for diagnosing battery voltage mis-reporting |
| CN103077485A (en) * | 2013-02-20 | 2013-05-01 | 华东电网有限公司 | Multi-dimensional voltage deviation index method based on statistic analysis of historical information of power grid |
| CN104820953A (en) * | 2015-05-19 | 2015-08-05 | 重庆大学 | Power distribution network operation safety assessment and warning system |
| CN105868087A (en) * | 2016-03-25 | 2016-08-17 | 乐视控股（北京）有限公司 | A display method and device for multi-index data in a monitoring system |
| CN106154165A (en) * | 2015-03-27 | 2016-11-23 | 国家电网公司 | The appraisal procedure of a kind of high capacity cell energy-storage system performance and assessment system |
-
2016
- 2016-12-01 CN CN201611095060.1A patent/CN106776940A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090315698A1 (en) * | 2008-06-19 | 2009-12-24 | Eugene Michael Berdichevsky | Systems and methods for diagnosing battery voltage mis-reporting |
| CN103077485A (en) * | 2013-02-20 | 2013-05-01 | 华东电网有限公司 | Multi-dimensional voltage deviation index method based on statistic analysis of historical information of power grid |
| CN106154165A (en) * | 2015-03-27 | 2016-11-23 | 国家电网公司 | The appraisal procedure of a kind of high capacity cell energy-storage system performance and assessment system |
| CN104820953A (en) * | 2015-05-19 | 2015-08-05 | 重庆大学 | Power distribution network operation safety assessment and warning system |
| CN105868087A (en) * | 2016-03-25 | 2016-08-17 | 乐视控股（北京）有限公司 | A display method and device for multi-index data in a monitoring system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407006A (en) * | 2018-09-18 | 2019-03-01 | 深圳市新威尔电子有限公司 | Battery detecting data display method, display terminal and readable storage medium storing program for executing |
| CN109656975A (en) * | 2018-12-13 | 2019-04-19 | 上海航天电源技术有限责任公司 | Fault early warning system and method based on big data |
| CN111693879A (en) * | 2020-06-19 | 2020-09-22 | 安徽江淮汽车集团股份有限公司 | Method, device, storage medium and device for evaluating health state of battery system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106972481A (en) | Scale electrically-charging equipment accesses the security quantitative estimation method of active power distribution network | |
| CN106776940A (en) | A kind of magnanimity battery data statistics look-up table building method and system | |
| CN106443461A (en) | Battery energy storage system state assessment method | |
| CN105844371A (en) | Electricity customer short-term load demand forecasting method and device | |
| CN104021300B (en) | Comprehensive assessment method based on effect of distribution type electrical connection on power distribution network | |
| Ali | Data-driven based machine learning models for predicting the deliverability of underground natural gas storage in salt caverns | |
| CN106154165A (en) | The appraisal procedure of a kind of high capacity cell energy-storage system performance and assessment system | |
| CN105975799A (en) | Method and system for calculating carbon emissions | |
| CN108053149A (en) | A kind of photovoltaic electric station grid connection methods of risk assessment for considering meteorologic factor | |
| CN106532688A (en) | Method and system for evaluating operation reliability of micro-grid | |
| CN107895015A (en) | Power consumer feature tag proportional system construction method based on analytic hierarchy process (AHP) | |
| CN104933505A (en) | Decision and evaluation method for intelligent power distribution network group based on fuzzy assessment | |
| CN106548413A (en) | A kind of power system energy storage fitness-for-service assessment method and system | |
| CN103530473A (en) | Random production analog method of electric system with large-scale photovoltaic power station | |
| CN105162113A (en) | Sensitivity analysis based interaction cost calculation method for microgrid and power distribution grid | |
| CN103728569B (en) | A kind of accumulator capacity Forecasting Methodology based on multifactor Grey Relational Model | |
| CN104281986A (en) | Micro-grid power prediction method | |
| CN103020733B (en) | Method and system for predicting single flight noise of airport based on weight | |
| CN102565718B (en) | Based on the lithium battery SOC determination methods that open-circuit voltage rise declines | |
| CN105720578A (en) | Active distribution network measurement optimization and configuration method containing node injection power uncertainty | |
| CN109346787A (en) | A kind of electric automobile power battery adaptive optimization charging method | |
| CN206542219U (en) | A kind of MW class energy-accumulating power station battery management system | |
| CN109272258A (en) | Region wind light generation stock assessment method based on K-means cluster | |
| CN105354761B (en) | Safety and efficiency evaluation method and system for accessing wind power into power grid | |
| CN201845205U (en) | Wind energy monitoring device based on singlechip and used in large-scale wind field |
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 |