CN117890813B - Battery electric quantity detection method and detection system based on dynamic load condition - Google Patents
Battery electric quantity detection method and detection system based on dynamic load condition Download PDFInfo
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- 238000005070 sampling Methods 0.000 claims abstract description 39
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- 230000005611 electricity Effects 0.000 claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims abstract description 14
- 238000005259 measurement Methods 0.000 claims abstract description 9
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Classifications
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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
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B9/00—Tables with tops of variable height
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B97/00—Furniture or accessories for furniture, not provided for in other groups of this subclass
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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
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/386—Arrangements for measuring battery or accumulator variables using test-loads
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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
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Abstract
The invention belongs to the technical field of detection, and particularly relates to a battery electric quantity detection method and a detection system, wherein the detection method comprises the following steps: acquiring real-time consumption electric quantity Qi when the load dynamically changes; acquiring consumption calibration electric quantity Qr; the calculation formula of the actual consumed electric quantity Qb is set as follows: qb= (qi+qr) Kq; wherein Kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq. According to the invention, the real-time consumption electricity quantity and the accurate consumption electricity quantity when the load dynamically changes are obtained, and the actual consumption electricity quantity is calculated according to the real-time consumption electricity quantity and the accurate consumption electricity quantity, so that the accuracy and the frequency requirement of current fluctuation on a sampling period are reduced, more accurate battery electricity quantity can be obtained during low-frequency sampling, the application of products in intelligent home is wider, the calculation of the battery electricity quantity in a wide current fluctuation range under a low-calculation field is fully satisfied, and the detection of the battery electricity quantity is more accurate.
Description
Technical Field
The invention belongs to the technical field of detection, and particularly relates to a battery electric quantity detection method and a detection system.
Background
In the traditional dynamic battery electric quantity calculation method, the current fluctuation range is larger due to the change of the load, the battery electric quantity can be calculated by increasing the current sampling frequency to obtain an accurate running current value in the current time period, but the current fluctuation range is uncertain due to the change of the load, and the dynamic adjustment of the sampling frequency or the maintenance of fixed high-frequency sampling can occupy extremely large system resources, so that for a household processor with low calculation power, the dynamic frequency adjustment or the increase of the sampling frequency cannot be supported, and the accurate battery electric quantity cannot be obtained due to the fact that the current sampling can be carried out only in a low-frequency mode. In some specific smart home products, such as lifting tables, only can be powered by adopting a mode of hanging a battery due to site limitation, and the accuracy of the battery power is particularly important due to frequent lifting in the use process.
Therefore, designing a battery power detection method and a detection system based on dynamic load conditions based on the above-mentioned scenario to meet the battery power calculation with wide current fluctuation range under the low-calculation force field is a technical problem to be solved in the art.
Disclosure of Invention
The invention aims to provide a battery electric quantity detection method and system based on a dynamic load condition and an electric lifting table.
In order to solve the technical problems, the invention provides a battery electric quantity detection method based on a dynamic load condition, which comprises the following steps:
acquiring real-time consumption electric quantity Qi when the load dynamically changes;
acquiring consumption calibration electric quantity Qr;
The calculation formula of the actual consumed electric quantity Qb is set as follows:
qb= (qi+qr) Kq; wherein the method comprises the steps of
Kq is a conversion coefficient, i.e
In the theoretical discharge curve of the battery, K1 is obtained by deriving the electric quantity and the voltage, K2 is obtained by deriving the voltage from the actual discharge residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq.
On the other hand, the invention also provides a detection system adopting the battery electric quantity detection method, which comprises the following steps:
the current sampling module is used for acquiring a real-time current value under a dynamic load condition
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; wherein Kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq.
In a third aspect, the present invention also provides an electric lifting table, including:
A lifting motor is arranged on the upper part of the lifting frame,
The current sampling module is used for acquiring a real-time current value of the lifting motor in the rotating process, namely under the dynamic load condition;
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; wherein Kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq.
The fourth method, the present invention also provides a computer readable storage medium storing computer readable instructions that, when executed by at least one processor, cause the conversion method to be performed.
In a fifth aspect, the invention also provides a computer program product comprising a computer program or instructions which, when executed on a computer, enable the computer to perform the program of the conversion method.
The method has the beneficial effects that the real-time electricity consumption and the accurate electricity consumption are obtained when the load dynamically changes, and the actual electricity consumption is calculated according to the real-time electricity consumption and the accurate electricity consumption, so that the accuracy and the frequency requirement of current fluctuation on a sampling period are reduced, more accurate battery electricity can be obtained during low-frequency sampling, further the method is more widely applied to intelligent household products, the calculation of the battery electricity with a wide current fluctuation range under a low-calculation field is fully satisfied, and the detection of the battery electricity is more accurate.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a battery charge detection method of the present invention;
Fig. 2 is a functional block diagram of the detection system of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present embodiment provides a battery power detection method based on a dynamic load condition, including:
S101, acquiring real-time consumption electric quantity Qi when a load dynamically changes;
Step S102, obtaining a consumed calibration electric quantity Qr; and
In step S103, the actual power consumption Qb is calculated. Wherein the method comprises the steps of
The calculation formula of the actual consumed electric quantity Qb is set as follows: qb= (qi+qr) Kq; kq is a conversion coefficient, namely K1 is obtained by conducting electricity and voltage according to a theoretical discharge curve of a battery, K2 is obtained by conducting electricity and voltage according to the residual capacity of the discharged battery, the reciprocal ratio of K1 to K2 is defined as Kq, data analysis and processing are carried out through collection of conventional voltage and current data and are combined with a battery charge and discharge curve, algorithm conversion is carried out to achieve measurement of the actual electricity quantity of a fitted battery, and the system stable in charge and discharge current can meet the requirement of electricity quantity calculation precision and simultaneously can supply power to a motor with variable load under the condition of large current fluctuation, and can also stably detect the electricity quantity of the battery, so that electricity consumption duration anxiety caused by insufficient electricity quantity precision is reduced.
In this embodiment, the method for acquiring the real-time power consumption Qi includes: setting a fixed sampling frequency, and obtaining average current Ia through the fixed sampling frequency; recording the duration time T of the dynamic change of the load; real-time consumption qi=ia×t, unit mAh.
In this embodiment, the duration T of the load dynamic change ranges from: 1 to 10ms; the time of current sampling is embodied, and current sampling is facilitated.
In this embodiment, the method for obtaining the consumption calibration power Q r includes: obtaining theoretical residual electric quantity Qe according to the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery; and obtaining the consumption calibration electric quantity Qr according to the total capacity Q of the battery and the theoretical residual electric quantity Qe, namely qr=Q-Qe.
In this embodiment, the method for obtaining the theoretical residual capacity Qe according to the relationship between the charge-discharge curve of the battery and the battery voltage capacity includes: obtaining a real-time battery voltage value V through voltage data sampling; setting a conversion coefficient Kvq of the relation between a battery charge-discharge curve and a battery voltage capacity; and obtaining the theoretical residual electric quantity Qe according to the real-time battery voltage value V and the conversion coefficient Kvq, namely qe=v× Kvq.
In this embodiment, the theoretical residual capacity Qe is obtained according to the coefficient Kvq of the battery voltage capacity relationship of the charge-discharge curve of the battery itself: qe=v Kvq; kvq is a conversion coefficient of the relationship between the battery charge-discharge curve and the battery voltage capacity, namely, a numerical value obtained by deriving the voltage and the battery capacity according to the battery specification curve is defined as Kvq; the conversion of the charging and discharging curve of the battery is added under the condition of large current fluctuation, so that the electric quantity can be accurately measured under the condition of large current fluctuation, and the error area caused by sampling time difference is avoided.
As shown in fig. 2, the present embodiment further provides a battery power detection system based on a dynamic load condition, including:
the current sampling module is used for acquiring a real-time current value under a dynamic load condition;
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; wherein Kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq.
The embodiment also provides an electric lifting table, comprising:
A lifting motor is arranged on the upper part of the lifting frame,
The current sampling module is used for acquiring a real-time current value of the lifting motor in the rotating process, namely under the dynamic load condition;
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; wherein Kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq.
In some embodiments, the method of obtaining the consumption calibration power Qr includes:
Obtaining theoretical residual electric quantity Qe according to the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery;
Obtaining the consumption calibration electric quantity Qr according to the total capacity Q and the theoretical residual electric quantity Qe of the battery, namely
Qr=Q-Qe。
In some embodiments, the method for obtaining the theoretical residual capacity Qe through the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery includes:
obtaining a real-time battery voltage value V through voltage data sampling;
Obtaining theoretical residual electric quantity Qe according to the real-time battery voltage value V and the conversion coefficient Kvq, namely
Qe=v Kvq; wherein the method comprises the steps of
Kvq is the conversion coefficient of the relationship between the charge-discharge curve and the voltage capacity of the battery, i.e
The value obtained by deriving the voltage and the battery capacity according to the battery specification curve is defined as Kvq.
Some embodiments also provide a computer readable storage medium storing computer readable instructions that, when executed by at least one processor, cause the conversion method to be performed.
Some embodiments also provide a computer program product comprising a computer program or instructions which, when executed on a computer, enable the computer to perform the program of the conversion method.
In summary, the invention detects the battery parameters; acquiring actual consumption electric quantity according to battery parameters; the method has the advantages that data analysis and processing are carried out through the collection of conventional voltage and current data, battery charge and discharge curve writing is combined, algorithm conversion is carried out, the actual electric quantity of the attached battery is measured, the requirement of electric quantity calculation precision can be met for a system with stable charge and discharge current, meanwhile, the power supply to a motor with variable load can be carried out under the condition of large current fluctuation, the electric quantity of the battery can be stably detected, and the electric consumption and endurance anxiety caused by insufficient electric quantity precision is reduced.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present invention may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (8)
1. The battery electric quantity detection method based on the dynamic load condition is characterized by comprising the following steps of:
acquiring real-time consumption electric quantity Qi when the load dynamically changes;
acquiring consumption calibration electric quantity Qr;
Calculating the actual power consumption Qb, i.e
The calculation formula of the actual consumed electric quantity Qb is set as follows:
qb= (qi+qr) Kq; wherein the method comprises the steps of
Kq is a conversion coefficient, i.e
Obtaining K1 according to the electricity quantity and voltage derivative in a theoretical discharge curve of the battery, obtaining K2 according to the voltage derivative of the actual measurement battery discharge residual capacity, and defining the reciprocal ratio of the K1 to the K2 as Kq;
the method for acquiring the real-time consumed electric quantity Qi comprises the following steps:
Setting a fixed sampling frequency, and obtaining average current Ia through the fixed sampling frequency;
Recording the duration time T of the dynamic change of the load;
Real-time consumption qi=ia×t;
The method for acquiring the consumed calibration electric quantity Q r comprises the following steps:
Obtaining theoretical residual electric quantity Qe according to the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery;
Obtaining the consumption calibration electric quantity Qr according to the total capacity Q and the theoretical residual electric quantity Qe of the battery, namely
Qr=Q-Qe。
2. The method for detecting the electric power of a battery according to claim 1, wherein,
The method for obtaining the theoretical residual electric quantity Qe through the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery comprises the following steps:
obtaining a real-time battery voltage value V through voltage data sampling;
Obtaining theoretical residual electric quantity Qe according to the real-time battery voltage value V and the conversion coefficient Kvq, namely
Qe=v Kvq; wherein the method comprises the steps of
Kvq is the conversion coefficient of the relationship between the charge-discharge curve and the voltage capacity of the battery, i.e
The value obtained by deriving the voltage and the battery capacity according to the battery specification curve is defined as Kvq.
3. A battery charge detection system based on dynamic load conditions, comprising:
the current sampling module is used for acquiring a real-time current value under a dynamic load condition;
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the discharge residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq;
the method for acquiring the consumption calibration power Q r comprises the following steps:
Obtaining theoretical residual electric quantity Qe according to the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery;
Obtaining the consumption calibration electric quantity Qr according to the total capacity Q and the theoretical residual electric quantity Qe of the battery, namely
Qr=Q-Qe。
4. The battery level detection system of claim 3, wherein,
The method for obtaining the theoretical residual electric quantity Qe through the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery comprises the following steps:
obtaining a real-time battery voltage value V through voltage data sampling;
Obtaining theoretical residual electric quantity Qe according to the real-time battery voltage value V and the conversion coefficient Kvq, namely
Qe=v Kvq; wherein the method comprises the steps of
Kvq is the conversion coefficient of the relationship between the charge-discharge curve and the voltage capacity of the battery, i.e
The value obtained by deriving the voltage and the battery capacity according to the battery specification curve is defined as Kvq.
5. An electric lift table, comprising:
A lifting motor is arranged on the upper part of the lifting frame,
The current sampling module is used for acquiring a real-time current value of the lifting motor in the rotating process, namely under the dynamic load condition;
The processor is electrically connected with the current sampling module, sets a fixed sampling frequency, converts a real-time current value into an average current Ia according to the duration time T of dynamic load change so as to obtain real-time consumed electric quantity Qi, obtains consumed calibration electric quantity Qr, and sets actual consumed electric quantity Qb= (Qi+qr) Kq; kq is a conversion coefficient, namely K1 is obtained by deriving electric quantity and voltage according to a theoretical discharge curve of the battery, K2 is obtained by deriving voltage from actual measurement of the discharge residual capacity of the battery, and the reciprocal ratio of K1 to K2 is defined as Kq;
the method for acquiring the consumption calibration power Q r comprises the following steps:
Obtaining theoretical residual electric quantity Qe according to the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery;
Obtaining the consumption calibration electric quantity Qr according to the total capacity Q and the theoretical residual electric quantity Qe of the battery, namely
Qr=Q-Qe。
6. The electric lifting table according to claim 5, wherein,
The method for obtaining the theoretical residual electric quantity Qe through the relationship between the charge-discharge curve of the battery and the voltage capacity of the battery comprises the following steps:
obtaining a real-time battery voltage value V through voltage data sampling;
Obtaining theoretical residual electric quantity Qe according to the real-time battery voltage value V and the conversion coefficient Kvq, namely
Qe=v Kvq; wherein the method comprises the steps of
Kvq is the conversion coefficient of the relationship between the charge-discharge curve and the voltage capacity of the battery, i.e
The value obtained by deriving the voltage and the battery capacity according to the battery specification curve is defined as Kvq.
7. A computer readable storage medium storing computer readable instructions which, when executed by at least one processor, cause the conversion method of any one of claims 1 or 2 to be performed.
8. A computer program product comprising a computer program or instructions which, when executed on a computer, enable the computer to perform the program of the conversion method of any one of claims 1 or 2.
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