CN112731177A - Method and device for detecting electric quantity of dry battery - Google Patents
Method and device for detecting electric quantity of dry battery Download PDFInfo
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- CN112731177A CN112731177A CN202011523923.7A CN202011523923A CN112731177A CN 112731177 A CN112731177 A CN 112731177A CN 202011523923 A CN202011523923 A CN 202011523923A CN 112731177 A CN112731177 A CN 112731177A
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- 238000012163 sequencing technique Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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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
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
Abstract
The invention provides a dry battery electric quantity detection method and a device, wherein the method comprises the steps of continuously collecting the voltage of a dry battery at preset time intervals to form a voltage waveform diagram; filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage; carrying out weighted recursive filtering on the highest peak value of the voltage so as to smooth the waveform of the highest peak value of the voltage; calculating the discharge curve of the dry battery according to the characteristic that the internal resistance of the dry battery is increased along with the discharge; and establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the corresponding residual electric quantity of the dry battery. The invention has the beneficial effects that: the residual capacity trend of the dry battery can be accurately predicted, the large-amplitude pulse interference is eliminated, and the data are smooth.
Description
Technical Field
The present invention relates to a method and a device for detecting electric quantity, and more particularly, to a method and a device for detecting electric quantity of a dry battery.
Background
At present, the detection of the electric quantity of the dry battery is mainly to calculate the electric quantity percentage of the dry battery according to the average distribution of voltage values by measuring the voltage of the dry battery; adjusting the percentage of the dry battery voltage in the dry battery electric quantity according to the discharge curve of the dry battery to estimate the residual electric quantity; and selecting the dry battery voltage when the power consumption is relatively stable according to the working state of the system.
When the power consumption is low, the dry battery has a back-power phenomenon, the detected voltage is virtual power and cannot drive a load, and even the problem of repeated restarting of the system can occur when the system is started; the dry battery voltage greatly fluctuates under different power consumptions, more than half of the power detected by the system can appear, and the large power consumption task is started, so that the voltage is rapidly reduced, and a low power alarm is generated.
There is a delay problem in detecting the battery voltage when the above-described adopted power consumption is relatively stable. For example, when the power consumption of the system needs a relatively long time to be a dynamically changing task, a phenomenon that the electric quantity suddenly drops after the task is completed occurs, the change trend of the electric quantity of the battery cannot be accurately predicted, and the user experience is greatly influenced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the utility model provides a dry battery electric quantity detection method and a device, aiming at improving the electric quantity prediction precision of the dry battery.
In order to solve the technical problems, the invention adopts the technical scheme that: a method for detecting the electric quantity of dry battery includes such steps as providing a battery,
s10, continuously collecting the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
s20, filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage;
s30, performing weighted recursive filtering on the highest peak value of the voltage to smooth the waveform of the highest peak value of the voltage;
s40, calculating the discharge curve of the dry battery according to the characteristic that the internal resistance of the dry battery increases along with the discharge;
and S50, establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
Furthermore, the dry battery electric quantity detection method also comprises the steps,
and S60, performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
Further, step S60 is to simulate an RC filter through a software algorithm, and perform first-order lag filtering on the percentage curve of the remaining capacity of the dry battery to obtain a smooth percentage curve of the remaining capacity of the dry battery.
Further, step S20 specifically includes,
s21, sequencing the continuously acquired voltage values of the dry batteries;
s22, removing a plurality of maximum voltage values and a plurality of minimum voltage values from the sorted voltage values of the dry batteries;
s23, taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic mean to obtain the highest peak value of the voltage;
and S24, taking out a plurality of voltage values according to the sequence of the voltage values from small to large, and carrying out arithmetic mean to obtain the lowest peak value of the voltage.
Further, in step S10, the voltage of the dry cell is continuously collected at time intervals of 10ms to form a voltage waveform diagram.
The invention also provides a dry battery electric quantity detection device, which comprises,
the voltage acquisition module is used for continuously acquiring the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
the median average filtering module is used for filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage;
the weighted recursive filtering module is used for carrying out weighted recursive filtering on the highest peak value of the voltage so as to smoothen the waveform diagram of the highest peak value of the voltage;
the discharge curve calculation module is used for calculating the discharge curve of the dry battery according to the characteristic that the dry battery becomes larger along with the discharge internal resistance;
and the residual electric quantity calculation module is used for establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
Further, the battery level detecting device further comprises,
and the first-order lag filtering module is used for performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
Further, the first-order lag filtering module is specifically configured to simulate an RC filter through a software algorithm, and perform first-order lag filtering on the percentage curve of the remaining power of the dry battery to obtain a smooth percentage curve of the remaining power of the dry battery.
Further, the median average filtering module specifically includes,
the voltage value sequencing unit is used for sequencing the continuously acquired voltage values of the dry batteries;
the voltage most value removing unit is used for removing a plurality of maximum voltage values and a plurality of minimum voltage values from the voltage values of the sorted dry batteries;
the voltage highest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic average to obtain a voltage highest peak value;
and the voltage lowest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from small to large to carry out arithmetic average to obtain the voltage lowest peak value.
Further, the voltage acquisition module is used for continuously acquiring the voltage of the dry battery at a time interval of 10ms to form a voltage waveform diagram.
The invention has the beneficial effects that: after the voltage of the dry battery is continuously acquired, filtering processing is carried out through a median average filtering method, weighting recursive filtering is carried out on the highest peak value of the voltage, so that the wave form diagram of the highest peak value of the voltage is smoothed, the discharge curve of the dry battery is calculated according to the characteristic that the discharge internal resistance of the dry battery is increased along with the discharge of the dry battery, an electric quantity model table of the dry battery is established, and the percentage curve of the residual electric quantity corresponding to the dry battery is obtained, so that the residual electric quantity trend of the dry battery is accurately predicted, the pulse interference with large amplitude is eliminated, the data are smooth, the problem of the electric quantity of the dry battery rising back when the system power consumption is reduced and the problem of the electric quantity of the dry battery falling down when the system power consumption is increased are solved, the electric quantity.
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 for those skilled in the art, other drawings can be obtained according to the mechanisms shown in the drawings without creative efforts.
FIG. 1 is a flow chart of a dry cell battery level detection method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a dry cell battery level detection method according to another embodiment of the present invention;
FIG. 3 is a block diagram of a dry battery power detection device according to an embodiment of the present invention;
fig. 4 is a block diagram of a dry cell battery level detection device according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the description of the invention relating to "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying any relative importance or implicit indication of the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The technical principle of the following embodiments is as follows: the dry battery has a back-charging phenomenon, the voltage can be pulled down when the load is heavy, the voltage can be pulled back when the load is light, the back-charging quantity is also called virtual electricity, and according to a battery open-circuit voltage formula: e is U + ir, wherein ir is virtual current, E is battery no-load voltage, U is battery voltage under load, i is current, and r is battery internal resistance; due to the presence of ir, which varies constantly, U is always in an unstable state. When the dry battery is fully charged, the r value is small, the r value is larger and larger along with the lengthening of the discharge time, the discharge capacity is weaker and weaker, and the load current i is the same no matter the dry battery is fully charged or low charged, so the ir value is a parameter which reflects the accuracy and the key of the residual capacity of the battery, and the residual capacity of the battery can be accurately calculated by using the highest voltage peak value Vh and the virtual power ir for compensation.
Referring to fig. 1, a first embodiment of the present invention is: a method for detecting the electric quantity of dry battery includes such steps as providing a battery,
s10, continuously collecting the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
s20, filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage;
the step S20 specifically includes the steps of,
s21, sequencing the continuously acquired voltage values of the dry batteries;
s22, removing a plurality of maximum voltage values and a plurality of minimum voltage values from the sorted voltage values of the dry batteries;
s23, taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic mean to obtain the highest peak value of the voltage;
and S24, taking out a plurality of voltage values according to the sequence of the voltage values from small to large, and carrying out arithmetic mean to obtain the lowest peak value of the voltage.
The specific implementation process of the step S20 is to continuously sample the voltages of the dry batteries for N voltages at a time interval of 10ms, sort the collected voltages, remove N1 large values and N1 small values, obtain the highest peak value vh of the voltages by taking the arithmetic average of N1 data from large to small, and obtain the lowest peak value v1 by taking the arithmetic average of N1 data from small to large.
S30, performing weighted recursive filtering on the highest peak value of the voltage to smooth the waveform of the highest peak value of the voltage;
s40, calculating the discharge curve of the dry battery according to the characteristic that the internal resistance of the dry battery increases along with the discharge;
step S40 is specifically that, according to the discharge characteristics of the dry cell, the internal resistance of the dry cell becomes large during the discharge process, which may result in larger voltage fluctuation; when the battery capacity is sufficient, the VOLTAGE fluctuation is small, and the measurement VOLTAGE fluctuation is VOLTAGE _ DIFF _ MIN; when the electric quantity of the battery is low, the VOLTAGE fluctuation is large, and the measurement VOLTAGE fluctuation is VOLTAGE _ DIFF _ MAX; the calculation process of the battery voltage is as follows:
when vh-v1, namely ir is smaller than VOLTAGE _ DIFF _ MIN, directly taking vh;
when vh-v1, i.e., ir is greater than VOLTAGE _ DIFF _ MIN but less than VOLTAGE _ DIFF _ MAX, VOLTAGE vh-ir (ir-VOLTAGE _ DIFF _ MIN)/(VOLTAGE _ DIFF _ MAX-VOLTAGE _ DIFF _ MIN);
③ when vh-v1, i.e. ir is greater than VOLTAGE _ DIFF _ MAX, directly take v 1.
And S50, establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
The beneficial effect of this embodiment lies in: after the voltage of the dry battery is continuously acquired, filtering processing is carried out through a median average filtering method, weighting recursive filtering is carried out on the highest peak value of the voltage, so that the wave form diagram of the highest peak value of the voltage is smoothed, the discharge curve of the dry battery is calculated according to the characteristic that the discharge internal resistance of the dry battery is increased along with the discharge of the dry battery, an electric quantity model table of the dry battery is established, and the percentage curve of the residual electric quantity corresponding to the dry battery is obtained, so that the residual electric quantity trend of the dry battery is accurately predicted, the pulse interference with large amplitude is eliminated, the data are smooth, the problem of the electric quantity of the dry battery rising back when the system power consumption is reduced and the problem of the electric quantity of the dry battery falling down when the system power consumption is increased are solved, the electric quantity.
In one embodiment, as shown in fig. 2, the dry cell battery level detection method further comprises the steps of,
and S60, performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
In step S60, a software algorithm is used to simulate an RC filter, and a first-order lag filtering is performed on the percentage curve of the remaining capacity of the dry battery to obtain a smooth percentage curve of the remaining capacity of the dry battery.
In this embodiment, the RC filtering of the hardware is implemented by a software method to suppress the interference signal and make it change smoothly.
As shown in fig. 3, the present invention also provides a dry cell battery level detecting device, comprising,
the voltage acquisition module 10 is used for continuously acquiring the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
a median average filtering module 20, configured to perform filtering processing on the acquired voltage of the dry battery by a median average filtering method to obtain a highest peak value and a lowest peak value of the voltage;
the weighted recursive filtering module 30 is configured to perform weighted recursive filtering on the highest peak value of the voltage, so as to smooth a waveform diagram of the highest peak value of the voltage;
the discharge curve calculation module 40 is used for calculating the discharge curve of the dry battery according to the characteristic that the dry battery becomes larger along with the discharge internal resistance;
and the residual electric quantity calculating module 50 is used for establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
As shown in fig. 4, the battery level detecting apparatus further includes,
and the first-order lag filtering module 60 is used for performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
Further, the first-order lag filtering module 60 is specifically configured to simulate an RC filter through a software algorithm, and perform first-order lag filtering on the percentage curve of the remaining capacity of the dry battery to obtain a smooth percentage curve of the remaining capacity of the dry battery.
Further, the median average filtering module 20 specifically includes,
the voltage value sequencing unit is used for sequencing the continuously acquired voltage values of the dry batteries;
the voltage most value removing unit is used for removing a plurality of maximum voltage values and a plurality of minimum voltage values from the voltage values of the sorted dry batteries;
the voltage highest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic average to obtain a voltage highest peak value;
and the voltage lowest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from small to large to carry out arithmetic average to obtain the voltage lowest peak value.
Further, the voltage collecting module 10 is configured to continuously collect the voltage of the dry battery at time intervals of 10ms to form a voltage waveform diagram.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A dry battery electric quantity detection method is characterized in that: comprises the following steps of (a) carrying out,
s10, continuously collecting the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
s20, filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage;
s30, performing weighted recursive filtering on the highest peak value of the voltage to smooth the waveform of the highest peak value of the voltage;
s40, calculating the discharge curve of the dry battery according to the characteristic that the internal resistance of the dry battery increases along with the discharge;
and S50, establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
2. The dry cell battery level detection method of claim 1, wherein: the method also comprises the step of carrying out the following steps,
and S60, performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
3. The dry cell battery level detection method according to claim 2, wherein: step S60 is to simulate an RC filter by a software algorithm, and perform first-order lag filtering on the percentage curve of the remaining capacity of the dry cell to obtain a smooth percentage curve of the remaining capacity of the dry cell.
4. The dry cell battery level detection method of claim 1, wherein: the step S20 specifically includes the steps of,
s21, sequencing the continuously acquired voltage values of the dry batteries;
s22, removing a plurality of maximum voltage values and a plurality of minimum voltage values from the sorted voltage values of the dry batteries;
s23, taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic mean to obtain the highest peak value of the voltage;
and S24, taking out a plurality of voltage values according to the sequence of the voltage values from small to large, and carrying out arithmetic mean to obtain the lowest peak value of the voltage.
5. The dry cell battery level detection method of claim 1, wherein: in step S10, the voltage of the dry cell is continuously sampled at intervals of 10ms to form a voltage waveform diagram.
6. The utility model provides a dry battery electric quantity detection device which characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the voltage acquisition module is used for continuously acquiring the voltage of the dry battery at preset time intervals to form a voltage waveform diagram;
the median average filtering module is used for filtering the acquired voltage of the dry battery by a median average filtering method to obtain the highest peak value and the lowest peak value of the voltage;
the weighted recursive filtering module is used for carrying out weighted recursive filtering on the highest peak value of the voltage so as to smoothen the waveform diagram of the highest peak value of the voltage;
the discharge curve calculation module is used for calculating the discharge curve of the dry battery according to the characteristic that the dry battery becomes larger along with the discharge internal resistance;
and the residual electric quantity calculation module is used for establishing an electric quantity model table of the dry battery according to the discharge curve of the dry battery to obtain a percentage curve of the residual electric quantity corresponding to the dry battery.
7. The dry cell battery level detecting device according to claim 6, wherein: the battery level detection apparatus further includes a power supply,
and the first-order lag filtering module is used for performing first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
8. The dry cell battery level detecting device according to claim 7, wherein: the first-order lag filtering module is specifically used for simulating an RC filter through a software algorithm and carrying out first-order lag filtering on the percentage curve of the residual electric quantity of the dry battery to obtain a smooth percentage curve of the residual electric quantity of the dry battery.
9. The dry cell battery level detecting device according to claim 6, wherein: the median average filtering module specifically comprises a median average filtering module,
the voltage value sequencing unit is used for sequencing the continuously acquired voltage values of the dry batteries;
the voltage most value removing unit is used for removing a plurality of maximum voltage values and a plurality of minimum voltage values from the voltage values of the sorted dry batteries;
the voltage highest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from large to small to carry out arithmetic average to obtain a voltage highest peak value;
and the voltage lowest peak value calculating unit is used for taking out a plurality of voltage values according to the sequence of the voltage values from small to large to carry out arithmetic average to obtain the voltage lowest peak value.
10. The dry cell battery level detecting device according to claim 6, wherein: and the voltage acquisition module is used for continuously acquiring the voltage of the dry battery at a time interval of 10ms to form a voltage waveform diagram.
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