CN114509637B - Charger charging and discharging evaluation method - Google Patents
Charger charging and discharging evaluation method Download PDFInfo
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- CN114509637B CN114509637B CN202210410930.9A CN202210410930A CN114509637B CN 114509637 B CN114509637 B CN 114509637B CN 202210410930 A CN202210410930 A CN 202210410930A CN 114509637 B CN114509637 B CN 114509637B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention discloses a charger charge-discharge evaluation method, which comprises the following steps: step 1, adopting a high-frequency power supply to generate power or discharge; step 2, collecting a voltage signal or a current signal in the power generation or discharge process of the high-frequency power supply to obtain the current signal or the voltage signal in the charging or discharging process of the charger; including voltage measurements and current measurements; step 3, calculating and evaluating a current signal or a voltage signal in the charging or discharging process of the charger, and step 4, controlling the magnitude and the strength of the current signal or the voltage signal in the charging or discharging process of the charger; step 5, controlling different modules in the circuit to be in working states; and 6, displaying the voltage signal or current signal result in the working process of the circuit for the user to evaluate and apply. The invention can acquire the running state of the charger in real time and in time and improve the charging and discharging capacity of the charger.
Description
Technical Field
The invention relates to the technical field of charging, in particular to a charger charging and discharging evaluation method.
Background
The charger adopts a high-frequency power supply technology, applies an advanced intelligent dynamic adjustment charging technology, realizes an optimized Wsa + Pulse charging characteristic curve by a microcomputer control technology, and automatically reduces the charging current along with the rise of the charging voltage of the storage battery; and the charging effect is more ideal by combining a pulse charging mode at the final charging stage. The capacity balance principle is adopted to intelligently judge the sufficiency of the storage battery, the storage battery is guaranteed to be sufficient, namely, the storage battery is not overcharged or overcharged, and the charging has the functions of dynamic tracking and adjusting of charging parameters and perfect protection. In the application process of the charger, how to realize the charging and discharging evaluation of the charger becomes a technical problem to be solved urgently.
The technical defects existing in the charging and discharging processes of the charger in the prior art are that data information in the charging and discharging processes of the charger cannot be timely and effectively evaluated, the data conditions of different charging amounts or discharging amounts of the charger in the operation process are difficult to obtain, and when insufficient power utilization exists or overshoot exists, the safety performance of the charger is difficult to guarantee.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses a charger charging prediction method in an electromechanical converter control system, which can realize charger charging prediction and display the current power utilization condition, can realize early warning reminding when the electric quantity is insufficient, and greatly improves the charger charging prediction capability.
In order to realize the technical effects, the invention adopts the following technical scheme:
a charger charge-discharge evaluation method, wherein the method comprises the steps of:
And 6, displaying the voltage signal or current signal result in the working process of the circuit for the user to evaluate and apply.
As a further technical scheme of the invention, the method for analyzing the charger data information by Haar wavelet transform comprises the following steps:
(1) decomposing the obtained original metering data information;
in the step, the hierarchy decomposition is carried out on the originally acquired electric energy data information by utilizing the measurement indexes of the regularity, the symmetry or the tight support degree, the complexity of the original data information signal is reduced, and the characteristic value of the original data information is extracted;
(2) amplifying the decomposed original metering data information;
in the step, the amplification or translation of the original data information is realized in a transverse coordinate or a longitudinal coordinate in a mother wavelet function mode according to the time size or the amplitude scale;
(3) the amplified original metering data information is superposed,
in this step, the fitting or superposition of the original data information is realized by using the time dimension or the amplitude scale according to the waveform of the original data, wherein the time dimension detail direction component is recorded as A, the amplitude approximate direction data information component is recorded as D, and the superposition formula is recorded as:
wherein
Expressed as the second in wavelet decomposition
A layer of a material selected from the group consisting of,
is shown as
The component of the layer in the direction of the detail,
is shown as
The component of the layer in the approximate direction.
(4) Constructing a Haar wavelet transform function;
in this step, the Haar wavelet transform function model is written as:
where t represents the time interval between which the user is expected to,
representing the output information of the Haar wavelet transform function model;
in a particular embodiment, the Haar wavelet transform may represent a curve with discontinuities and the original curve is fitted by a piecewise function.
The scale function corresponding to the curve in the Haar wavelet transform function is:
after passing through the fitting algorithm, the Haar wavelet transform function fitting function is recorded as:
wherein the filter function in the fitting function
Is defined as follows:
in the above embodiment, the method for constructing the electric quantity estimation function includes the following steps:
a balance control objective function in the charger load circuit is constructed, wherein the balance control objective function is as follows:
wherein:
indicating the number of times of charging of the charger;
indicating the number of discharges of the charger;
when indicating the test, go through
Sub-charging and
secondary discharge;
representing an artificially calculated error influence factor between 0 and 1;
representing the error influence factor of a Haar wavelet transform function model, which is between 0 and 2;
representing the influence factor of the error of the experimental environment interference data information, which is between 1 and 2;
representing the error influence factor of the charger load interference data information, which is between 1 and 5;
indicates at the charger experiencing
Sub-charging and
test time parameters under sub-discharge;
indicates that the charger is experiencing
Sub-charging and
an overload output parameter in the charger load circuit under the secondary discharge;
indicates that the charger is experiencing
Sub-charging and
the charging electric quantity parameter of the charger under the secondary discharge;
indicates that the charger is experiencing
Sub-charging and
the charger charging strain information parameters under the secondary discharge; in the case where the parameters are the same, the description will not be repeated below;
the comprehensive quantitative estimation function of the charger risk assessment output is:
wherein
、
、
And
respectively calculating the weight or the occurrence probability of the error influence factor, the transformation function model error influence factor, the test environment interference data information error influence factor and the charger load interference data information error influence factor; the charger is experiencing
The secondary charging overload output parameter is
，
Indicates that the charger is experiencing
Normal data value parameters under sub-charging;
is undergoing
Recording the parameters of secondary charging and charger charging strain information parameters in normal range
(ii) a The evaluation function of the charger is:
wherein the following are satisfied:
wherein
An evaluation function of the charger is represented,
an evaluation output value representing risk information during charging or discharging of the charger,
；
and
is greater than the evaluation threshold value of the risk borne by the charger
Then the following evaluation outputs exist:
a charger charge-discharge evaluation circuit, comprising:
the charger adopts a high-frequency power supply power generation or discharge method, converts high-frequency voltage into low-frequency voltage in a frequency conversion mode, supplements working energy to a load and meets the working requirement of the load;
the electric signal acquisition module is used for acquiring a voltage signal or a current signal in the power generation or discharge process of the high-frequency power supply so as to acquire the current signal or the voltage signal in the charging or discharging process of the charger; the device comprises a voltage measuring module and a current measuring module;
the electric quantity calculating module is used for calculating and evaluating a current signal or a voltage signal in the charging or discharging process of the charger and comprises a Haar wavelet transform module and an electric quantity estimation function model;
the switch control module is used for controlling the magnitude and the strength of a current signal or a voltage signal in the charging or discharging process of the charger so as to realize the control of different electric quantities in the charging or discharging process of the charger;
an AC/DC conversion module;
the controller is used for controlling different modules in the circuit to be in working states so as to meet the working requirement of the circuit;
the controller is connected with the electric quantity calculation module and the switch control module, and the output end of the switch control module is connected with the input end of the AC/DC conversion module.
In this embodiment, the electric signal acquisition module comprises an FPGA main control module and a power supply, a voltage sampling module and a current sampling module are connected with the FPGA main control module through interfaces, and the FPGA main control module is further connected with a relay, a charging and discharging control module, a first display module and a second display module; the relay is connected with the charging and discharging control module in parallel, and the first display module is connected with the second display module in parallel.
As a further technical solution of the present invention, the first display module is a power meter, and the second display module is an oscilloscope.
As a further technical scheme of the invention, the voltage sampling module is a voltage sensor, and the current sampling module is a current sensor.
As a further technical solution of the present invention, the electric quantity calculation module is an instantaneous value hardware circuit of three-phase ac active power based on a hardware multiplier cascade principle, and the electric quantity calculation module is represented by the following formula during metering calculation:
let the instantaneous values of voltage and current be:
the instantaneous value of the active power of the phase a is:
in the same way, the instantaneous values of the active power of the phase B and the phase C are as follows:
so three-phase instantaneous power P
The invention has the following positive beneficial effects:
in the invention, under the environment of a test room, a charger charging and discharging evaluation test platform is built, the charging state can be dynamically and controllably analyzed from the charger running data in the charging and discharging processes of the charger, so that the running state of the charger can be timely obtained in real time, a user can conveniently analyze the transmitted data information of the charger terminal running through a big data technology, the original data of the charger is transformed through discrete Haar wavelet transformation, the primary processing of the data is completed, and then the current signal or the voltage signal in the charging or discharging process of the charger is evaluated through an electric quantity estimation function.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive exercise, wherein:
FIG. 1 is a schematic diagram illustrating a charging/discharging evaluation process of a charger according to the present invention;
FIG. 2 is a flow chart of a wavelet transform method according to the present invention;
FIG. 3 is a diagram illustrating a wavelet decomposition structure according to the present invention;
FIG. 4 is a diagram of the results of wavelet decomposition analysis in accordance with the present invention;
FIG. 5 is a schematic diagram of a charge/discharge evaluation circuit according to the present invention;
FIG. 6 is a schematic diagram of an electrical signal acquisition module in the charge and discharge evaluation circuit according to the present invention;
fig. 7 is a schematic diagram illustrating a principle of an electric quantity metering module in the charging and discharging evaluation circuit according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for the purpose of illustrating and explaining the present invention and are not intended to limit the present invention.
As shown in fig. 1, a method for evaluating charging and discharging of a charger, wherein the method comprises the following steps:
And 6, displaying the voltage signal or current signal result in the working process of the circuit for the user to evaluate and apply.
In the invention, under the laboratory environment, a charger charging and discharging evaluation test platform is built, the charging state can be dynamically and controllably analyzed from the charger running data in the charging and discharging processes of the charger, so that the running state of the charger can be timely acquired in real time, a user can conveniently analyze the transmitted data information of the running of the charger terminal through a big data technology, the original data of the charger is transformed through discrete Haar wavelet transformation, the primary processing of the data is completed, and then the current signal or the voltage signal in the charging or discharging process of the charger is evaluated through an electric quantity estimation function.
The analysis scheme of the research design comprises the steps that firstly, a large amount of information data are collected through the running state collecting device in the charging and discharging process, the collected data are divided into real-time running data of the charger and historical state data of the charger through the running state collecting device of the charger, the charger is subjected to real-time online detection in the charging process in the real-time running data, the charger is subjected to charged state detection, detection is performed in the historical state data of the charger in the offline state of the charger in a manual detection mode, defects of the running state of the charger are analyzed through historical fault data, and all collected data are stored in a database to finish the collection of the running data of the charger; the data are processed in the process of storing the data into the database, the basic parameters of each charger are arranged in time sequence in a linked list mode, and the running states of different chargers are connected in series through interactive data and environmental data, so that the data can be conveniently used in the next step; converting data into a data waveform by using discrete Haar wavelet transform, decomposing the acquired data waveform into a plurality of data waveforms with different time scales so as to complete the cleaning of data, mining the data by dividing the data into two categories of strong correlation sequences and weak correlation sequences in the data cleaning process through association rules, cleaning the cleanable data, giving out early warning on the uncleanable data, and completing the primary processing of the data; and then, evaluating a current signal or a voltage signal in the charging or discharging process of the charger through an electric quantity estimation function, and automatically generating an abnormal analysis report in the process of mining abnormal data so as to meet the user requirements.
In the above embodiment, the method for analyzing charger data information by Haar wavelet transform includes the following steps:
(1) decomposing the acquired original metering data information;
in the step, the hierarchy decomposition is carried out on the originally acquired electric energy data information by utilizing the measurement indexes of the regularity, the symmetry or the tight support degree, the complexity of the original data information signal is reduced, and the characteristic value of the original data information is extracted;
in a specific embodiment, the discrete Haar wavelet transform represents the signal by using an oscillating waveform, and represents the input signal by shrinking the amplitude and shifting the phase of the mother wavelet, wherein the parameters of the discrete Haar wavelet transform are as shown in formula 1:
as shown in formula 1, wherein
Expressed as the sign of the inner product operation; for approximating directional components in analysis of running signals
Representing; direction component of detail
Represents;
and
the value range of (A) is an integer;
(2) amplifying the decomposed original metering data information;
in the step, the amplification or translation of the original data information is realized in a transverse coordinate or a longitudinal coordinate in a mother wavelet function mode according to the time size or the amplitude scale;
in particular embodiments, the mother wavelet function may be written as
And fitting the function by means of amplitude and frequency folding and unfolding conversion and amplitude and phase translation.
(3) The amplified original metering data information is superposed,
in this step, the fitting or superposition of the original data information is realized by using the time dimension or the amplitude scale according to the waveform of the original data, wherein the time dimension detail direction component is recorded as A, the amplitude approximate direction data information component is recorded as D, and the superposition formula is recorded as:
wherein
Expressed as the second in wavelet decomposition
A layer of a material selected from the group consisting of,
is shown as
The component of the layer in the direction of the detail,
is shown as the first
The component of the layer in the approximate direction.
In a specific embodiment, as shown in FIG. 2, in the mother wavelet multi-time scale decomposition, the detail component and the approximation component of the second layer are decomposed by decomposing the original data curve into the detail component and the approximation component in the first layer decomposition, and the second layer decomposes the decomposed approximation component of the first layer, and the above steps are repeated for each layer. In the specific embodiment, the decomposition of the original data on a multi-time scale is completed all the time, and the number of decomposition layers is generally three to eight.
(4) Constructing a Haar wavelet transform function;
in this step, the Haar wavelet transform function model is taken as:
where t represents the time interval between which the user is expected to,
representing the output information of the Haar wavelet transform function model;
in a particular embodiment, the Haar wavelet transform may represent a curve with discontinuities and the original curve is fitted by a piecewise function.
The scale function corresponding to the curve in the Haar wavelet transform function is:
after passing through the fitting algorithm, the Haar wavelet transform function fitting function is recorded as:
wherein the filter function in the fitting function
Is defined as:
in the above embodiment, in filtering data by the filter function, the function has two non-zero coefficients only when n =0 and n = 1. Different data information of the charger is converted into a data curve, the charger data transformation curves under different time scales can be obtained by fitting through a plurality of corrected mother wavelet functions, and the macroscopic charging problem of the charger can be effectively converted into microscopic data analysis so as to realize the charging fault diagnosis of the charger.
In a particular embodiment, as shown in FIG. 3. Wherein, sample 1 contains 150 data records, sample 2 contains 200 data information, and the detail component processing is as shown in graph 1 after the Haar wavelet transform function model is assumed.
TABLE 1 detailed component processing schematic table of Haar wavelet transform function model
| Haar wavelet transform function | Sample No. 1 | |
| Detail component of first layer | 305 | 24 |
| Detail component of the second layer | 338 | 26 |
| Detail component of the third layer | 354 | 32 |
| Approximate component of the fourth layer | 150 | 200 |
By inputting sample information, analyzing on different time scales and subdividing and calculating on different scales, the analysis on any time scale category can be realized, the analysis accuracy is obviously different under different sizes, when the charger operates normally, if a large load is charged, such as a large load like an environment-friendly automobile, the charger has larger operation power, and the charger operates at lower operation power at other time; when the charger fails due to overheating of the charger, the power consumption of the charger is rapidly increased, a large amount of heat is generated, and the failure is further aggravated; when the charger is short-circuited, the power consumption of the charger can quickly reach the maximum value; when the charger is subjected to intermittent short circuit, the power of the charger can quickly generate intermittent high power, and other fault problems can be caused.
In the above embodiment, the method for constructing the electric quantity estimation function includes the following steps:
a balance control objective function in the charger load circuit is constructed, wherein the balance control objective function is as follows:
in quantitative assessment of the risk of charging or discharging the charger, the function is represented as a data information flow, wherein:
indicating the number of times of charging of the charger;
indicating the number of discharges of the charger;
when representing the testCalendar
Sub-charging and
secondary discharge;
representing a manually calculated error influence factor, between 0 and 1;
representing the error influence factor of a Haar wavelet transform function model, which is between 0 and 2;
representing the influence factor of the error of the experimental environment interference data information, which is between 1 and 2;
representing the error influence factor of the charger load interference data information, which is between 1 and 5;
indicates at the charger experiencing
Sub-charging and
test time parameters under sub-discharge;
indicates that the charger is experiencing
Sub-charging and
overload output parameter in charger load circuit under sub-dischargeCounting;
indicates that the charger is experiencing
Sub-charging and
the charging electric quantity parameter of the charger under the secondary discharge;
indicates that the charger is experiencing
Sub-charging and
the charger charging strain information parameters under the secondary discharge; in the case where the parameters are the same, the description will not be repeated below;
the comprehensive quantitative estimation function of the charger risk assessment output is:
wherein
、
、
And
respectively calculating error influence factors, transformation function model error influence factors, test environment interference data information error influence factors and charger load interference data informationThe error influence factor has weight or probability of occurrence; the charger experiences
The secondary charging overload output parameter is
，
Indicates that the charger is experiencing
Normal data value parameters under sub-charging;
is undergoing
Recording the parameters of secondary charging and charger charging strain information parameters in normal range
(ii) a The evaluation function of the charger was:
wherein the following are satisfied:
wherein
An evaluation function of the charger is represented,
evaluation input for representing risk information in charging or discharging process of chargerThe value of the obtained value is obtained,
；
and
is greater than the evaluation threshold value of the risk borne by the charger
Then the following evaluation outputs exist:
when the evaluation output value is less than 0.005, the charger is free of risks in the charging or discharging process and can be normally used, when the evaluation output value is between 0.05 and 0.05, the charger is early-warned in the charging or discharging process and needs manual intervention to check the problems of the charger or the problems of loads, and when the evaluation output value is greater than 0.5, the charger is overloaded and the phenomenon of over-head of the charger is possible to occur.
A charger charge-discharge evaluation circuit, comprising:
the charger adopts a high-frequency power supply power generation or discharge method, converts high-frequency voltage into low-frequency voltage in a frequency conversion mode, supplements working energy to a load and meets the working requirement of the load;
in particular embodiments, an on-board charger may be employed, and in other embodiments, other high-power chargers may also be used.
The electric signal acquisition module is used for acquiring a voltage signal or a current signal in the power generation or discharge process of the high-frequency power supply so as to acquire the current signal or the voltage signal in the charging or discharging process of the charger; the device comprises a voltage measuring module and a current measuring module;
the electric quantity calculating module is used for calculating and evaluating a current signal or a voltage signal in the charging or discharging process of the charger and comprises a Haar wavelet transform module and an electric quantity estimation function model;
the switch control module is used for controlling the magnitude and the strength of a current signal or a voltage signal in the charging or discharging process of the charger so as to realize the control of different electric quantities in the charging or discharging process of the charger;
an AC/DC conversion module;
the controller is used for controlling different modules in the circuit to be in working states so as to meet the working requirement of the circuit;
the controller is connected with the electric quantity calculation module and the switch control module, and the output end of the switch control module is connected with the input end of the AC/DC conversion module.
In this embodiment, the electric signal acquisition module comprises an FPGA main control module and a power supply, a voltage sampling module and a current sampling module are connected with the FPGA main control module through interfaces, and the FPGA main control module is further connected with a relay, a charging and discharging control module, a first display module and a second display module; the relay is connected with the charging and discharging control module in parallel, and the first display module is connected with the second display module in parallel.
In this embodiment, the first display module is a power meter, and the second display module is an oscilloscope.
In this embodiment, the voltage sampling module is a voltage sensor, and the current sampling module is a current sensor.
In the above embodiment, the insulation sampling resistors (R1, R2, R3, R4) and the charger form a closed loop. The charger comprises a 7-port direct current charging socket, which corresponds to the switches K4-K10 in the detection circuit. And a 4mm standard acquisition interface is designed on each of two sides of each switch, so that the oscilloscope and other instruments can conveniently collect information. The R3 and R4 resistance sampling circuits have 5 gears, which correspond to 500 Ω, 970 Ω, 1000 Ω, 1030 Ω and 2000 Ω, respectively. The K5 and the K6 can sample a contactor, a voltage sensor and a current sensor of the charger to provide a charger detection data signal for a power analyzer or an oscilloscope.
In the above embodiment, the charger converts all the AC power into DC power through the transformer and transmits the DC power to the charger for charging through AC/DC conversion and DC/DC conversion, wherein a voltage dividing circuit is required to perform balanced voltage division so as to regulate and control the two power transmission ends to maintain approximately the same effect. The whole charging process is guided by a controller in the charger, the R5 branch and the R8 branch are circuit monitoring points, and high-progress charger inspection data are extracted. The principle is that a standard power meter is inserted between a charger and a sampling load, and the electric energy of the standard watt-hour meter and the electric energy of a direct current electric energy meter in the charger are compared. And determining whether the charger measurement is accurate or not according to the electric energy value measured by the standard electric energy meter. In order to improve the evaluation precision, the evaluation precision is improved through a Haar wavelet transform module and an electric quantity estimation function model, and the evaluation method is shown above.
In the above implementation, the electric quantity calculation module is an instantaneous value hardware circuit of three-phase ac active power based on the hardware multiplier cascade principle, and the electric quantity calculation module is represented by the following formula when performing metering calculation:
let the instantaneous values of voltage and current be:
the instantaneous value of the active power of the phase a is:
in the same way, the instantaneous values of the active power of the phase B and the phase C are as follows:
so three-phase instantaneous power P
In specific application, the method and the device can realize that the alternating current active power can be rapidly and accurately obtained in a time domain, the single direct current signal is output, and a us-level alternating current active power signal (direct current signal Pac with ripples) is provided for dual-channel AD synchronous measurement.
Although specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are merely illustrative and that various omissions, substitutions and changes in the form of the detail of the methods and systems described above may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (1)
1. A charger charge-discharge evaluation method is characterized in that: the method comprises the following steps:
step 1, converting high-frequency voltage into low-frequency voltage in a frequency conversion mode by adopting a high-frequency power supply power generation or discharge method, supplementing working energy to a load and meeting the working requirement of the load;
step 2, collecting a voltage signal or a current signal in the power generation or discharge process of the high-frequency power supply to obtain the current signal or the voltage signal in the charging or discharging process of the charger; including voltage measurements and current measurements;
step 3, calculating and evaluating a current signal or a voltage signal in the charging or discharging process of the charger, and evaluating the current signal or the voltage signal in the charging or discharging process of the charger by a Haar wavelet transform method and an electric quantity estimation function;
step 4, controlling the magnitude and the strength of a current signal or a voltage signal in the charging or discharging process of the charger to realize the control of different electric quantities in the charging or discharging process of the charger, and further outputting different current signals or voltage signals in the charging or discharging process of the charger to dynamically realize the evaluation of charging or discharging data information of the charger;
step 5, controlling different modules in the circuit to be in working states so as to meet the working requirements of the circuit, and converting the sampled signal semaphore of a voltage signal or a current signal in the power generation or discharge process of the high-frequency power supply into a digital semaphore; to satisfy the digital application or analysis of the voltage signal or the current signal in the circuit; converting the digitized application or analysis result of the voltage signal or the current signal in the circuit and the digitized voltage signal or the digitized current signal into sampling information quantity; and controls the current signal or the voltage signal in the circuit according to the evaluation requirement,
Step 6, displaying the voltage signal or current signal result in the working process of the circuit for the user to evaluate and apply;
the method for analyzing the charger data information by Haar wavelet transform comprises the following steps:
(1) decomposing the obtained original metering data information;
in the step, the hierarchy decomposition is carried out on the originally acquired electric energy data information by utilizing the measurement indexes of the regularity, the symmetry or the tight support degree, the complexity of the original data information signal is reduced, and the characteristic value of the original data information is extracted;
(2) amplifying the decomposed original metering data information;
in the step, the amplification or translation of the original data information is realized in a transverse coordinate or a longitudinal coordinate in a mother wavelet function mode according to the time size or the amplitude scale;
(3) the amplified original metering data information is superposed,
in this step, the fitting or superposition of the original data information is realized by using the time dimension or the amplitude scale according to the waveform of the original data, wherein the time dimension detail direction component is recorded as A, the amplitude approximate direction data information component is recorded as D, and the superposition formula is recorded as:
wherein
Expressed as the second in wavelet decomposition
A layer of a material selected from the group consisting of,
is shown as
The component of the layer in the direction of the detail,
is shown as the first
The component of the layer in the approximate direction;
(4) constructing a Haar wavelet transform function;
in this step, the Haar wavelet transform function model is written as:
where t represents the time interval between which the user is expected to,
representing the output information of the Haar wavelet transform function model;
in a specific embodiment, the Haar wavelet transform may represent a curve with discontinuity points, and the original curve is fitted by a piecewise function;
the scale function corresponding to the curve in the Haar wavelet transform function is as follows:
after passing through the fitting algorithm, the Haar wavelet transform function fitting function is recorded as:
wherein the filter function in the fitting function
Is defined as:
the electric quantity estimation function is constructed by the following steps:
a balance control objective function in the charger load circuit is constructed, wherein the balance control objective function is as follows:
wherein:
indicating the number of times of charging of the charger;
indicating the number of discharges of the charger;
when indicating the test, go through
Sub-charging and
secondary discharge;
representing a manually calculated error influence factor, between 0 and 1;
representing the error influence factor of a Haar wavelet transform function model, which is between 0 and 2;
representing the influence factor of the error of the experimental environment interference data information, which is between 1 and 2;
representing the error influence factor of the charger load interference data information, which is between 1 and 5;
indicates at the charger experiencing
Sub-charging and
test time parameters under sub-discharge;
indicates that the charger is experiencing
Sub-charging and
an overload output parameter in the charger load circuit under the secondary discharge;
indicates that the charger is experiencing
Sub-charging and
the charging electric quantity parameter of the charger under the secondary discharge;
indicates that the charger is experiencing
Sub-charging and
the charger charging strain information parameters under the secondary discharge;
the comprehensive quantitative estimation function of the charger risk assessment output is:
wherein
、
、
And
respectively calculating the weight or the occurrence probability of the error influence factor, the transformation function model error influence factor, the test environment interference data information error influence factor and the charger load interference data information error influence factor; the charger experiences
The secondary charging overload output parameter is
，
Indicates that the charger is experiencing
Normal data value parameters under sub-charging;
is undergoing
The parameters of sub-charging and charger charging strain information parameters within normal range are recorded as
(ii) a The evaluation function of the charger is:
wherein the following are satisfied:
wherein
An evaluation function of the charger is represented,
an evaluation output value representing risk information during charging or discharging of the charger,
；
and with
Is greater than the evaluation threshold value of the risk borne by the charger
Then the following evaluation outputs exist:
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