CN112505386B - Method and system for detecting current value of direct current charging pile - Google Patents
Method and system for detecting current value of direct current charging pile Download PDFInfo
- Publication number
- CN112505386B CN112505386B CN202010863471.0A CN202010863471A CN112505386B CN 112505386 B CN112505386 B CN 112505386B CN 202010863471 A CN202010863471 A CN 202010863471A CN 112505386 B CN112505386 B CN 112505386B
- Authority
- CN
- China
- Prior art keywords
- current
- voltage
- matrix
- error
- model
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/005—Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electrostatic Charge, Transfer And Separation In Electrography (AREA)
Abstract
The invention discloses a method and a system for detecting the current value of a direct current charging pile, belonging to the technical field of electric energy metering, wherein the method comprises the following steps: determining the influence characteristics of the current/voltage data subjected to interpolation expansion, which are influenced by different environmental working conditions; determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics; according to the influence factor matrix of the voltage/current and the measurement error matrix, establishing a correction model of the influence factors on the measured voltage/current; correcting the current/voltage according to the correction model, and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage; establishing an error model according to the corrected ripple influence factor matrix and the error matrix of the current/voltage; and determining the current value of the direct current charging pile according to the error model. The invention realizes the anti-interference verification of the voltage and the current of the verification device under the working condition of the field environment.
Description
Technical Field
The invention relates to the technical field of electric energy metering, in particular to a method and a system for calibrating a current value of a direct current charging pile.
Background
In the beginning of electric vehicle development, a user mainly cares about whether charging can be performed or not, and the requirement for functions is placed at the head, but with the increasing perfection of charging facilities, the charging pile is used as a measuring instrument for trade settlement, and the electric energy measuring accuracy of the charging pile is a hot point problem concerned by electric vehicle consumers and society.
The national metrological verification regulation JJJG 1149-2018 'electric vehicle off-board charger', regulates verification contents and methods of the direct current charging pile, and requires that the electric energy metrological verification period of the direct current charging pile generally does not exceed 1 year, at present, a universal detection method is carried by a tester to a site for detection, and the method has the practical problems that a site detection device and a load are heavy, energy and time are consumed in the detection process, the demand on the tester is large, and the like, and the contradiction between the quick construction and the increasing maintenance of the direct current charging pile of a company is increasingly prominent, so that the development of more efficient, quick and energy-saving remote detection technical research on the electric energy metering of the direct current charging pile is urgently needed.
Disclosure of Invention
In order to solve the problems, the invention provides a method for detecting the current value of a direct current charging pile, which comprises the following steps:
acquiring current/voltage data of the direct current charging pile under different environmental working conditions, performing interpolation expansion on the current/voltage data by using a calibrating device, and determining the influence characteristics of the current/voltage data subjected to the interpolation expansion and influenced by different environmental working conditions;
determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
establishing a correction model of the measurement voltage/current influenced by the influence factors according to the influence factor matrix of the voltage/current and the measurement error matrix;
correcting the current/voltage according to the correction model, and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
establishing an error model according to the corrected ripple influence factor matrix and the error matrix of the current/voltage;
and determining the current value of the direct current charging pile according to the error model.
Optionally, the influencing factors include: temperature factors and humidity factors.
Optionally, the error model includes: a ripple amplitude model and a phase error model.
Optionally, the interpolation expansion interpolates and expands the current/voltage data according to the Kriging principle.
Optionally, the corrected current/voltage is the sum of the direct current/voltage and the ripple current/voltage of each time.
The invention also provides a system for detecting the current value of the direct current charging pile, which comprises the following steps:
the data acquisition unit is used for acquiring current/voltage data of the direct current charging pile under different environmental working conditions, performing interpolation expansion on the current/voltage data, and determining the current/voltage data subjected to interpolation expansion and the influence characteristics influenced by different environmental working conditions;
the first processing unit is used for determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
the correction model establishing unit is used for establishing a correction model of the measurement voltage/current influenced by the influence factors according to the influence factor matrix of the voltage/current and the measurement error matrix;
the second processing unit is used for correcting the current/voltage according to the correction model and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
the error model establishing unit is used for establishing an error model according to the corrected ripple wave influence factor matrix and the error matrix of the current/voltage;
and the verification unit is used for determining the current value of the direct current charging pile according to the error model.
Optionally, the influencing factors include: temperature factors and humidity factors.
Optionally, the error model includes: each ripple amplitude model and phase error model.
Optionally, the interpolation expansion interpolates and expands the current/voltage data according to the Kriging principle.
Optionally, the corrected current/voltage is the sum of the direct current/voltage and the ripple current/voltage of each time.
The invention realizes the anti-interference verification of the voltage and the current of the verification device under the working condition of the field environment.
Drawings
FIG. 1 is a flow chart of a method for calibrating a DC charging post current value according to the present invention;
fig. 2 is a diagram of a system for calibrating a current value of a dc charging pile according to the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings are not intended to limit the present invention. In the drawings, the same unit/element is denoted by the same reference numeral.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention provides a method for detecting the current value of a direct current charging pile, which comprises the following steps as shown in figure 1:
acquiring current/voltage data of the direct current charging pile under different environmental working conditions, performing interpolation expansion on the current/voltage data by using a calibrating device, and determining the influence characteristics of the current/voltage data subjected to the interpolation expansion and influenced by different environmental working conditions;
determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
establishing a correction model of the measurement voltage/current influenced by the influence factors according to the influence factor matrix of the voltage/current and the measurement error matrix;
correcting the current/voltage according to the correction model, and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
establishing an error model according to the corrected ripple influence factor matrix and the error matrix of the current/voltage;
and determining the current value of the direct current charging pile according to the error model.
Influencing factors including: temperature factors and humidity factors.
An error model comprising: a ripple amplitude model and a phase error model.
Interpolation expansion is carried out on the current/voltage data according to the Kriging principle.
The corrected current/voltage is the sum of the direct current/voltage and the ripple current/voltage of each time.
The present invention will be further illustrated with reference to the following examples.
Firstly, expanding experimental data under limited experimental conditions by using a Kriging interpolation method on the premise of fully considering the shape, size and position-space relationship among voltage-current error experimental data points containing multi-dimensional influence factors, and providing enough data volume for establishing a voltage-current error model;
and then, Kriging interpolation data of the voltage and the current of the calibrating device are mapped into a high-dimensional feature space by using a KPLS method, partial least square regression is carried out on the high-dimensional feature space, real-time online correction of the voltage and the current is realized, the influence of the field actual operation condition on the remote calibrating device of the charging pile is eliminated, the anti-interference performance of the calibrating device under the field condition is improved, and finally, the effectiveness of the method is verified through actual measurement.
The method comprises the following specific operation steps:
step 1: because of the limitation of experimental conditions and experimental time, firstly, in order to increase the experimental data volume, an interpolation method based on the Kriging principle is selected to carry out interpolation expansion on the experimental data, the experimental data is current/voltage data, and the characteristics of the calibrating device that the voltage and the current are influenced by the working condition of the field environment are accurately described, and the method comprises the following specific steps:
step 1-1: establishing an actual measurement data set X ═ X 1 ,x 2 ,x 3 ,…,x n Let us assume at point x i The attribute value corresponding to (i ═ 1,2, …, n) is Z (x) i ) For the pre-interpolation point x 0 Its corresponding attribute value is Z * (x 0 )。
Step 1-2: the Kriging interpolation method is based on the conditions of unbiased property and minimum variance to obtain lambda i Constraint equation E [ Z ] of weight coefficient * (x 0 )-Z(x 0 )]0 and Var [ Z ] * (x 0 )-Z(x 0 )]＝min。
Step 1-3: from the regionalized study variables satisfying the Kriging condition, E [ Z (x) ] 0 )]The mathematical expectation exists and is equal to a constant, so let E [ Z (x) 0 )]Obtaining:
and (3) pushing out:
step 1-4: the minimum variance condition is combined with the Lagrange extremum condition to obtain:
in the formula, μ represents a lagrange multiplier.
Step 1-5: the linear equation set of order n +1 can be derived as follows:
in the formula, C (x) i -x j ) Denotes x i And x j Covariance function value between point function values, C (x) 0 -x j ) Denotes x 0 And x j Covariance function between point function valuesNumerical values.
Step 1-6: form lambda of i The system of Kriging equations, as follows:
Kλ＝M
wherein λ ═ λ 1 λ 2 … λ n μ] T ，M＝[C(x 1 ,x 0 ) C(x 2 ,x 0 ) … C(x n ,x 0 ) 1] T
Step 1-7: calculating the value of a point to be interpolated to realize the interpolation of the designated data point:
and 2, step: forming a voltage U from Kriging interpolated data 0 Influence factor matrix X ═ X 1 ,x 2 ]，x 1 Denotes the temperature T, x 2 Representing the humidity RH%, and the matrix of measurement errors is Y ═ Y]And y represents a voltage measurement error, data of an explanatory variable sample X is mapped to a high-dimensional mapping space phi (X) through a kernel function, a partial least squares regression (PLS) model is carried out in the high-dimensional space to establish a temperature and humidity affected correction model of the measured voltage, and the method specifically comprises the following steps:
step 2-1: the kernel function is determined and, if necessary,
where σ is a kernel parameter, and i, j correspond to adjacent rows of the argument sample matrix.
Step 2-2: centralizing the interpretation variable space X and its mapping phi
In the formula 1 n Is a vector of elements all 1, I n Is an identity matrix
Step 2-3: random initialization reaction variable space latent variable u
Step 2-4: calculating latent variable t in space of explained variable t (m) ＝K (m) u (m)
Step 2-5, regularizing latent variables: t is t (m) ＝t (m) /||t (m) ||
Step 2-6: calculating a weight vector c of the reaction variable space latent variable: c. C (m) ＝Y' (m) t (m)
Step 2-7: calculating a reaction variable space latent variable u: u. of (m) ＝Y (m) c (m)
Step 2-8: regularization latent reaction variable: u. of (m) ＝u (m) /||u (m) ||
Step 2-9: repeating the steps 2-4-2-8 until convergence
Step 2-10: computing residual space of feature space and reaction variable space
K (m+1) ＝(I-t (m) t' (m) )K (m) (I-t (m) t' (m) )
Y (m+1) ＝Y (m) -t (m) t' (m) Y (m)
Step 2-11: calculating a characteristic space regression coefficient: b ═ U (T' KU) -1 T'Y
Step 2-12: the value of the regression data is calculated,
i.e., an error matrix, of:
step 2-13: the corrected voltage value is as follows:
in the formula of U x For the actual voltage measurement,. epsilon-% is the measurement error.
And 3, step 3: forming the Current I from Kriging interpolated data 0 Influence factor matrix X ═ X 1 ,x 2 ]，x 1 Denotes the temperature T, x 2 The humidity RH% is expressed, and the measurement error matrix is Y ═ Y]And y represents a current measurement error. And repeating the step 2 to correct the current.
And 4, step 4: considering the influence of different frequency ripples on the corrected current, wherein the current i 2 (t) can be expressed as the sum of the direct current and the respective ripple current, i.e.
In the formula I dc Is a direct current, I h Indicating the amplitude of the h-th ripple.
And 5: to i 2 Performing fast Fourier analysis to separate each ripple to form a ripple influence factor matrix R ═ R 1 ,r 2 ,r 3 ],r 1 、r 2 And r 3 Respectively representing amplitude, phase, frequency, and error matrix W ═ W 1 ,w 2 ]，w 1 、w 2 Representing the amplitude difference and the phase difference.
Step 6: repeating the step 1 by using a Kriging interpolation method to form a matrix R 1 And W 1 And then, repeating the step 2 by using a KPLS method to form a ripple amplitude and phase error model of each time to obtain an amplitude error matrix xi of each ripple amplitude ═ I h ]And a phase error matrix
And 7: calculating the current value of the current after correcting the amplitude and the behavior of the ripple
The invention solves the problems that the calibration precision of the direct current charging pile calibration device is greatly influenced by the field environment and the calibration accuracy is difficult to ensure.
The maximum voltage measurement precision of epsilon under the working condition of the field environment is U The maximum value of | is 38ppm, the minimum value is 0.07ppm, compared with the voltage measurement error before correction, the voltage measurement error is reduced by one order of magnitude, and the influence of temperature and humidity on the measurement voltage is controlled within the range of 50 ppm.
Under different working conditions, the maximum current measurement error is 15.18ppm, the minimum current measurement error is 0.17ppm, the total measurement error is less than 50ppm, compared with the measurement error before error correction, the measurement error is reduced by one order of magnitude, under the condition of containing ripples, the ripple amplitude error is less than 0.05%, and the phase error is less than 0.02rad, so that the anti-interference of the voltage and the current of the calibrating device under the working condition of the field environment is realized, and a novel anti-interference method is provided for the remote accurate detection of the direct-current charging pile.
The present invention further provides a system 200 for calibrating a current value of a dc charging pile, as shown in fig. 2, including:
the data acquisition unit 201 is used for acquiring current/voltage data of the direct current charging pile by the calibrating device under different environmental working conditions, performing interpolation expansion on the current/voltage data, and determining the influence characteristics of the current/voltage data subjected to the interpolation expansion and influenced by different environmental working conditions;
the first processing unit 202 determines an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
a correction model establishing unit 203 for establishing a correction model in which the measured voltage/current is influenced by the influence factor according to the influence factor matrix of the voltage/current and the measurement error matrix;
the second processing unit 204 corrects the current/voltage according to the correction model, and determines a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
an error model establishing unit 205 that establishes an error model according to the corrected ripple factor matrix and the error matrix of the current/voltage;
and the verification unit 206 determines the current value of the direct current charging pile according to the error model.
Influencing factors including: temperature factors and humidity factors.
An error model comprising: a ripple amplitude model and a phase error model.
Interpolation expansion is carried out on the current/voltage data according to the Kriging principle.
The corrected current/voltage is the sum of the direct current/voltage and the ripple current/voltage of each time.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the present application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for calibrating a dc charging post current value, the method comprising:
acquiring current/voltage data of the direct current charging pile under different environmental working conditions, performing interpolation expansion on the current/voltage data, and determining the influence characteristics of the current/voltage data subjected to interpolation expansion, which are influenced by different environmental working conditions;
determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
establishing a correction model of the measurement voltage/current influenced by the influence factors according to the influence factor matrix of the voltage/current and the measurement error matrix;
correcting the current/voltage according to the correction model, and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
establishing an error model according to the corrected ripple influence factor matrix and the error matrix of the current/voltage;
and determining the current value of the direct current charging pile according to the error model.
2. The method of claim 1, the influencing factors comprising: temperature factors and humidity factors.
3. The method of claim 1, the error model, comprising: a ripple amplitude model and a phase error model.
4. The method of claim 1, the interpolative augmentation current/voltage data according to the Kriging principle.
5. The method of claim 1, wherein the modified current/voltage is a sum of a direct current/voltage and respective ripple currents/voltages.
6. A system for calibrating a dc charging post current value, the system comprising:
the data acquisition unit is used for acquiring current/voltage data of the direct current charging pile by the calibrating device under different environmental working conditions, performing interpolation expansion on the current/voltage data, and determining the influence characteristics of the current/voltage data subjected to the interpolation expansion and influenced by different environmental working conditions;
the first processing unit is used for determining an influence factor matrix and a measurement error matrix of the voltage/current according to the influence characteristics;
the correction model establishing unit is used for establishing a correction model of the measurement voltage/current influenced by the influence factors according to the influence factor matrix of the voltage/current and the measurement error matrix;
the second processing unit is used for correcting the current/voltage according to the correction model and determining a ripple influence factor matrix and an error matrix of the corrected current/voltage according to the corrected current/voltage;
the error model establishing unit is used for establishing an error model according to the corrected ripple wave influence factor matrix and the error matrix of the current/voltage;
and the verification unit is used for determining the current value of the direct current charging pile according to the error model.
7. The system of claim 6, the influencing factors comprising: temperature factors and humidity factors.
8. The system of claim 6, the error model, comprising: a ripple amplitude model and a phase error model.
9. The system of claim 6, the interpolation extending interpolates current/voltage data according to the Kriging principle.
10. The system of claim 6, wherein the modified current/voltage is a sum of a direct current/voltage and respective ripple currents/voltages.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010863471.0A CN112505386B (en) | 2020-08-25 | 2020-08-25 | Method and system for detecting current value of direct current charging pile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010863471.0A CN112505386B (en) | 2020-08-25 | 2020-08-25 | Method and system for detecting current value of direct current charging pile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112505386A CN112505386A (en) | 2021-03-16 |
| CN112505386B true CN112505386B (en) | 2022-09-02 |
Family
ID=74954031
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010863471.0A Active CN112505386B (en) | 2020-08-25 | 2020-08-25 | Method and system for detecting current value of direct current charging pile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112505386B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114290939B (en) * | 2021-12-29 | 2024-04-23 | 国网新疆电力有限公司经济技术研究院 | DC charging pile voltage error compensation method, system, equipment and readable storage medium |
| CN114290938B (en) * | 2021-12-29 | 2024-01-30 | 国网新疆电力有限公司经济技术研究院 | DC charging pile current error compensation method, system, equipment and readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10161832A1 (en) * | 2001-12-15 | 2003-06-26 | Kostal Leopold Gmbh & Co Kg | Device for measuring electric current, for detecting lighting characteristics in the surroundings of motor vehicle light sensing system, has capacitor connected to current source, charged by current, switch operated to discharge capacitor |
| CN105354663A (en) * | 2015-10-20 | 2016-02-24 | 浙江群力电气有限公司 | Time sequence similarity based error analysis method and system for power transformer |
| CN106249193A (en) * | 2016-09-06 | 2016-12-21 | 武汉尤瑞卡节能科技有限公司 | A kind of method and system of the charging pile electric energy metering error verification of charging station |
| CN107607897A (en) * | 2017-08-29 | 2018-01-19 | 国网湖南省电力公司 | A kind of voltage monitoring instrument on-line testing and prediction meanss and method |
| CN107727915A (en) * | 2017-09-30 | 2018-02-23 | 国网青海省电力公司 | Photovoltaic plant direct current collects system data acquisition accuracy prediction method |
| CN108089141A (en) * | 2017-11-16 | 2018-05-29 | 山东联合电力技术有限公司 | A kind of error correcting method and device of the current measuring device based on current divider |
| CN109725188A (en) * | 2018-12-29 | 2019-05-07 | 蜂巢能源科技有限公司 | A kind of current measuring method and device |
| CN109782097A (en) * | 2019-03-07 | 2019-05-21 | 深圳市计量质量检测研究院 | A kind of electrically-charging equipment remote meter system and its metering method |
| CN110031788A (en) * | 2019-04-04 | 2019-07-19 | 国网江苏省电力有限公司电力科学研究院 | A kind of hollow coil current transformer error environment correlation analysis |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120283970A1 (en) * | 2009-11-19 | 2012-11-08 | Andre Boehm | Method and device for error-compensated current measurement of an electrical accumulator |
| KR101297200B1 (en) * | 2013-04-04 | 2013-08-29 | 주식회사 레티그리드 | Point detecting type current measuring device having function of compensating interference by adjacent bus bar |
| FR3060127B1 (en) * | 2016-12-13 | 2019-03-15 | Seb S.A. | METHOD FOR DYNAMICALLY COMPENSATING THE OFFSET ERROR OF AN ACQUISITION CHAIN COMPRISING A CURRENT SENSOR |
-
2020
- 2020-08-25 CN CN202010863471.0A patent/CN112505386B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10161832A1 (en) * | 2001-12-15 | 2003-06-26 | Kostal Leopold Gmbh & Co Kg | Device for measuring electric current, for detecting lighting characteristics in the surroundings of motor vehicle light sensing system, has capacitor connected to current source, charged by current, switch operated to discharge capacitor |
| CN105354663A (en) * | 2015-10-20 | 2016-02-24 | 浙江群力电气有限公司 | Time sequence similarity based error analysis method and system for power transformer |
| CN106249193A (en) * | 2016-09-06 | 2016-12-21 | 武汉尤瑞卡节能科技有限公司 | A kind of method and system of the charging pile electric energy metering error verification of charging station |
| CN107607897A (en) * | 2017-08-29 | 2018-01-19 | 国网湖南省电力公司 | A kind of voltage monitoring instrument on-line testing and prediction meanss and method |
| CN107727915A (en) * | 2017-09-30 | 2018-02-23 | 国网青海省电力公司 | Photovoltaic plant direct current collects system data acquisition accuracy prediction method |
| CN108089141A (en) * | 2017-11-16 | 2018-05-29 | 山东联合电力技术有限公司 | A kind of error correcting method and device of the current measuring device based on current divider |
| CN109725188A (en) * | 2018-12-29 | 2019-05-07 | 蜂巢能源科技有限公司 | A kind of current measuring method and device |
| CN109782097A (en) * | 2019-03-07 | 2019-05-21 | 深圳市计量质量检测研究院 | A kind of electrically-charging equipment remote meter system and its metering method |
| CN110031788A (en) * | 2019-04-04 | 2019-07-19 | 国网江苏省电力有限公司电力科学研究院 | A kind of hollow coil current transformer error environment correlation analysis |
Non-Patent Citations (3)
| Title |
|---|
| 基于随机矩阵理论的电子式互感器误差状态相关性分析方法;胡琛等;《电力自动化设备》;20180903(第09期);第45-52页 * |
| 温湿度对交流充电桩示值误差的影响;张黎辉;《计测技术》;20180828(第04期);第43-45页 * |
| 电动汽车充电纹波对直流电能计量影响分析;宋鹏等;《电测与仪表》;20180110(第01期);第46-51页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112505386A (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6404832B2 (en) | Method of determining control technical observer for SoC | |
| Pozzi et al. | Optimal design of experiments for a lithium-ion cell: parameters identification of an isothermal single particle model with electrolyte dynamics | |
| Judd et al. | Asymptotic methods for aggregate growth models | |
| CN112505386B (en) | Method and system for detecting current value of direct current charging pile | |
| Stamps et al. | Analysis of capacity fade in a lithium ion battery | |
| Al-Othman et al. | Uncertainty modelling in power system state estimation | |
| CN101142732A (en) | Apparatus and method for estimating battery state of charge | |
| CN114290939B (en) | DC charging pile voltage error compensation method, system, equipment and readable storage medium | |
| CN110555231A (en) | Dynamic simulation model correction method | |
| CN112230146A (en) | Method, system and equipment for predicting battery charging remaining time | |
| CN115469260A (en) | Hausdorff-based current transformer abnormity identification method and system | |
| Havangi | Adaptive robust unscented Kalman filter with recursive least square for state of charge estimation of batteries | |
| JP2023016707A (en) | Method, apparatus and computer program product for calculating loss of capacity of storage battery | |
| CN116757378A (en) | Demand response evaluation model training method, application evaluation method and related equipment | |
| Wang et al. | Spatiotemporal modeling of internal states distribution for lithium-ion battery | |
| Wang et al. | State of charge estimation for lithium-ion battery based on improved online parameters identification and adaptive square root unscented Kalman filter | |
| Fu | Is the slope of the Phillips curve time-varying? Evidence from unobserved components models | |
| CN113702896B (en) | System and method for measuring direct-current electric energy standard meter error based on voltage reference | |
| CN111817312A (en) | Method and system for quantifying transient stability influence of phase modulator based on excitation dynamic gain | |
| Jia et al. | Tutorial on Data-driven Power Flow Linearization-Part II-Supportive Techniques and Experiments | |
| Geng et al. | Non-parametric calibration of the local volatility surface for European options using a second-order Tikhonov regularization | |
| CN111711446B (en) | Method, system and medium for taming crystal oscillator frequency by using GPS signal | |
| CN113937783A (en) | Wind power plant reactive voltage coordination control method and device based on model prediction control | |
| CN109327026B (en) | Low-voltage distribution network interval state estimation method | |
| Schnizer et al. | Magnetic field analysis for superferric accelerator magnets using elliptic multipoles and its advantages |
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 |