CN112345944A - Battery abnormality detection method, apparatus, electronic device, and computer-readable storage medium - Google Patents

Battery abnormality detection method, apparatus, electronic device, and computer-readable storage medium Download PDF

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Publication number
CN112345944A
CN112345944A CN202011147436.5A CN202011147436A CN112345944A CN 112345944 A CN112345944 A CN 112345944A CN 202011147436 A CN202011147436 A CN 202011147436A CN 112345944 A CN112345944 A CN 112345944A
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charging
battery
preset
frequency
current
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CN112345944B (en
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谢红斌
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The application relates to a battery abnormity detection method, a device, electronic equipment and a computer readable storage medium, wherein the battery abnormity detection method comprises the steps of obtaining charging parameters of a battery of the electronic equipment under a preset charging condition; acquiring the charging frequency of a battery in the current charging process; and detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency. The charging parameters can be detected based on the charging frequency, and then whether the battery is abnormal or not can be judged, the conditions that the battery is aged after the battery is charged for many times frequently, the internal resistance of the battery is increased, the reversible capacity is reduced, and the abnormal detection misjudgment is caused can be avoided, and the accuracy of the abnormal detection of the battery can be improved.

Description

Battery abnormality detection method, apparatus, electronic device, and computer-readable storage medium
Technical Field
The present disclosure relates to the field of charging technologies, and in particular, to a method and an apparatus for detecting battery abnormality, an electronic device, and a computer-readable storage medium.
Background
Batteries are an indispensable and important part of electronic devices as a means for supplying operating power to the electronic devices. Generally, a protective plate is added to the battery in the electronic equipment to control the overcharge and overdischarge, the overvoltage and overcurrent, the temperature and the like of the battery to improve the use safety performance of the battery, so that the use safety of the electronic equipment can be ensured. However, the protection plate cannot detect abnormality due to structural change in the battery, for example, deterioration of the battery, and the detection accuracy is low.
Disclosure of Invention
The embodiment of the application provides a battery abnormity detection method and device, electronic equipment and a computer readable storage medium, which can improve the accuracy of battery abnormity detection.
A battery abnormality detection method applied to an electronic device, the method comprising:
acquiring charging parameters of a battery of the electronic equipment under a preset charging condition;
acquiring the charging frequency of the battery in the current charging process;
and detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
A battery abnormality detection apparatus applied to an electronic device, the apparatus comprising:
the parameter acquisition module is used for acquiring charging parameters of a battery of the electronic equipment under a preset charging condition;
the frequency acquisition module is used for acquiring the charging frequency of the battery in the current charging process;
and the abnormity detection module is used for detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
An electronic device comprising a battery, a memory and a processor, wherein the memory has stored therein a computer program, which, when executed by the processor, causes the processor to perform the steps of the battery abnormality detection method as described above.
A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the steps of the battery abnormality detection method as described above.
The battery abnormity detection method, the device, the electronic equipment and the computer readable storage medium can correspondingly acquire the charging parameters of the battery of the electronic equipment under the preset charging condition, acquire the charging frequency of the current charging process of the battery and detect whether the battery is abnormal according to the charging parameters and the charging frequency, and can detect the charging parameters based on the charging frequency so as to judge whether the battery is abnormal, thereby avoiding the occurrence of abnormal detection misjudgment caused by aging of the battery after the battery is frequently charged for many times, increasing the internal resistance of the battery and reducing the reversible capacity, and further improving the accuracy of battery abnormity detection.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for detecting battery anomalies;
FIG. 2 is a flow chart of a battery abnormality detection method in one embodiment;
FIG. 3 is a flowchart of a battery abnormality detection method in another embodiment;
FIG. 4 is a flow diagram of a method prior to performing step 204 in one embodiment;
FIG. 5 is a flowchart of a battery abnormality detection method in yet another embodiment;
FIG. 6 is a flowchart of a battery abnormality detection method in still another embodiment;
fig. 7 is a block diagram showing the structure of a battery abnormality detection device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, the first preset feature point may be referred to as a second preset feature point, and similarly, the second preset feature point may be referred to as a first preset feature point, without departing from the scope of the present application. Both the first preset feature point and the second preset feature point are preset feature points, but they are not the same preset feature point.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating 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 the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. In the description of the present application, "a number" means at least one, such as one, two, etc., unless specifically limited otherwise.
Fig. 1 is a schematic diagram of an application environment of the battery abnormality detection method in one embodiment. As shown in fig. 1, the application environment includes an electronic device. As shown in fig. 1, the electronic device includes a processor 120, a memory 130, and a battery flow detection circuit 140 connected by a system bus 110. The processor 120 is used to provide computing and control capabilities, among other things, to support the operation of the overall electronic device. The memory 130 may include a non-volatile storage medium and an internal memory 130. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by the processor 120 to implement a battery abnormality detection method provided in the following embodiments. Internal memory 130 provides a cached execution environment for operating system computer programs in the non-volatile storage medium.
The battery flow detection circuit 140 includes a power management module 141, a battery 142, an electricity meter 143, a temperature sensor 144, and the like. The electricity meter 143 is electrically connected to the battery 142 and the power management module 141, respectively, and the electricity meter 143 is configured to obtain voltage, current and power information of the battery 142, and send the obtained voltage, current and power information of the battery 142 to the power management module 141. The temperature sensor 144 may be connected to the power management module 141, and may also be connected to the adapter through a charging interface, where the power management module 141 may receive a charging signal from the adapter, and convert the charging signal into a charging signal suitable for charging the battery 142 to charge the battery 142; the battery 142 may also be controlled to supply power to other modules in the electronic device.
The electronic device may be any terminal device such as a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a Point of Sales (POS), a vehicle-mounted computer, and a wearable device.
Fig. 2 is a flowchart of a battery abnormality detection method in one embodiment. The battery abnormality detection method in the present embodiment is described by taking the operation in the electronic device in fig. 1 as an example. As shown in fig. 2, the battery abnormality detecting method includes steps 202 to 206.
Step 202, acquiring charging parameters of a battery of the electronic device under a preset charging condition.
When the electronic device is externally connected with a charging device (such as an adapter, a charger, a wireless charging device, and the like) and charges a battery of the electronic device, the electronic device can be charged in any charging stage. The charging stage may include a constant current charging stage, a constant voltage charging stage, a constant current and constant voltage charging stage, and the like. When the battery is charged in any charging stage, the charging parameters of the battery can be correspondingly acquired in the charging process when a certain charging stage meets the preset charging condition. The charging phase may be a charging phase in which a charging is continued for a preset time period from a certain characteristic point (e.g., a certain current and voltage value), or a charging phase in which a charging process is performed from a first characteristic point (e.g., a current or a voltage) to a second characteristic point. The charging parameter may be a charging parameter at a specific time, or may be a charging parameter in a certain charging phase (a preset duration of continuous charging). The charging parameter may include at least one of current information, voltage information, temperature information, and charging duration.
And step 204, acquiring the charging frequency of the battery in the current charging process.
When the battery receives the charge of the external charging device, the electronic device may count a charging frequency (or referred to as a charging number) of the battery, and may cumulatively count the charging frequency and store the charging frequency.
In one embodiment, the electronic device also determines whether the current charging process meets the requirement of the cumulative count during the process of performing the cumulative count on the charging frequency of the battery, performs the cumulative count if the current charging process meets the requirement of the cumulative count, and does not perform the charging frequency count on the current charging process if the current charging process does not meet the requirement of the cumulative count. For example, the cumulative count requirement may be interpreted as a complete charging process.
It is to be understood that the charging process involving the cumulative count is not limited to the constant current charging, the constant voltage charging, and the constant current and constant voltage charging, and may be any one of ordinary charging processes.
It should be noted that, the execution sequence of step 202 and step 204 is not specifically limited, and in this embodiment, step 202 may be executed first, and then step 204 may be executed; step 204 may be performed first, and then step 202 may be performed.
And step 206, detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
The electronic equipment can acquire the charging frequency of the current charging process and the charging parameters acquired when the preset charging conditions are met in the current charging process, and detect whether the battery is abnormal or not according to the charging frequency and the charging parameters. The charging frequency is different, and the detection standards for detecting the charging parameters are also different. For example, when the charging frequency is 100 times and 200 times, respectively, the result of detecting whether the battery is abnormal may be different for the same charging parameter due to different charging frequencies.
In the embodiment of the present application, the charging parameter that meets the preset charging condition in the current charging process can be detected according to the detection standard corresponding to the charging frequency of the current charging process, if the charging parameter meets the detection standard, the battery can be determined to be normal, and if the charging parameter does not meet the detection standard, the battery can be determined to be abnormal.
In one embodiment, the detection criteria may be based on large statistics from charging tests performed in a laboratory, or may be constructed by collecting charging parameters for a large number of electronic devices.
The battery abnormity detection method in the embodiment can correspondingly acquire the charging parameters of the battery of the electronic equipment under the preset charging condition, acquire the charging frequency of the current charging process of the battery and detect whether the battery is abnormal according to the charging parameters and the charging frequency, can detect the charging parameters based on the charging frequency so as to judge whether the battery is abnormal, can avoid the conditions that the battery is aged after the battery is frequently charged for many times, the internal resistance of the battery is increased, and the reversible capacity is reduced so as to cause abnormity detection misjudgment, and can further improve the accuracy of battery abnormity detection.
In one embodiment, before obtaining the charging parameters of the battery of the electronic device under the preset charging condition, the battery abnormality detection method further includes: and setting at least one preset charging condition for the battery of the electronic equipment, and configuring corresponding charging parameters for each preset charging condition. The preset charging condition is constructed in association with the charging type of the battery, and the preset charging condition is set to be different according to the different charging types. The charging type comprises constant current charging and constant voltage charging;
in one embodiment, the charging parameter includes at least one of temperature information, voltage information, current information, and a charging duration. The temperature information may include a temperature value at a certain time, or may include a temperature difference within a preset time period; the voltage information may include a voltage value at a certain time, or may include a voltage difference within a preset time period; the current information may include a current value at a certain time, or may include a current difference within a preset time period.
In one embodiment, when the battery is in constant current charging, the preset charging condition may be: and continuously charging the battery for a preset time from the first preset characteristic point by constant current. The first preset characteristic point may be a certain initial charging voltage in the charging process. For the preset charging condition, a charging parameter may be configured correspondingly, and the charging reference may be temperature information or voltage information. Illustratively, when the battery is in a constant current charging stage, starting from a charging voltage of 3.6V, a 4A charging current (constant current) is kept for a preset time period T, and then a corresponding temperature value or temperature difference value is obtained. The temperature value can be understood as the temperature value at the end time corresponding to the preset duration T of just finishing the continuous charging, and the temperature difference value can be understood as the temperature difference between the temperature values at the initial time and the end time of the preset duration, which correspond to the preset duration T of the continuous charging. Correspondingly, when the battery is in the constant-current charging stage, the corresponding voltage value or voltage difference value after the 4A charging current (constant current) is kept for the preset charging time period T is kept from the 3.6V charging voltage.
In one embodiment, when the battery is in constant current charging, the preset charging condition may be: and continuously charging the battery from the first preset voltage to the second preset voltage in a constant current mode. The second preset voltage is greater than the first preset voltage. The second preset voltage may be a charge cut-off voltage. The charging reference may be temperature information or charging duration. Illustratively, when the battery is in a constant current charging phase, charging is continued from 3.6V to 4.4V, corresponding temperature values or temperature differences. The temperature value can be understood as a temperature value when the charging voltage reaches 4.4V, and the temperature difference value can be understood as a temperature difference between the charging voltage and the temperature value corresponding to the two voltages of 3.6V and 4.4V, respectively. Illustratively, when the battery is in the constant current charging phase, charging is continued from 3.6V to 4.4V for the duration of the charging period.
In one embodiment, when the battery is charged at a constant voltage, the preset charging condition may be: and continuously charging the battery for a preset time from the second preset characteristic point. The second predetermined characteristic point may be an initial charging current in the charging process. For the preset charging condition, a charging parameter may be configured correspondingly, and the charging reference may be temperature information or current information. Illustratively, when the battery is in a constant voltage charging stage, starting from a charging current of 1A, a charging voltage (constant voltage) of 5V is kept for charging for a preset time period T, and then a corresponding temperature value or temperature difference value is obtained. Or, when the battery is in the constant voltage charging stage, starting from the charging current of 1A, keeping the charging voltage of 5V (constant voltage) for charging for a preset time period T, and then keeping the corresponding current value or current difference. The current value can be understood as a current value at a time corresponding to an ending time just after the preset duration T of continuous charging is completed, and the current value can be understood as a current difference between the preset duration of continuous charging and a current value at two times, namely an initial time and an ending time of the preset duration.
In one embodiment, when the battery is charged at a constant voltage, the preset charging condition may be: and continuously charging the battery from the first preset current to the second preset current at constant voltage. The second preset current is smaller than the first preset current. The second preset voltage may be a charge cut-off voltage. The charging reference may be temperature information or charging duration. Illustratively, when the battery is in a constant voltage charging phase, it is continuously charged from 1A to 0.5A at a constant voltage. The temperature value can be understood as a temperature value when the charging current reaches 0.5A, and the temperature difference value can be understood as a temperature difference between the charging voltage and the corresponding temperature value of the two currents of 1A and 0.5A. Illustratively, when the battery is in the constant current charging phase, the charging is continued from 1A to 0.5A for the charging period.
As shown in fig. 3, in one embodiment, the battery abnormality detection method includes steps 302 to 310.
Step 302, setting at least one preset charging condition for a battery of the electronic device, and configuring a corresponding charging parameter for each preset charging condition.
Step 304, obtaining the charging type of the charging process of the battery.
In one embodiment, the electronic device may communicate with an external charging device for charging the electronic device to obtain a charging phase of the battery currently being charged. Alternatively, the electronic device may obtain the current charging current or charging voltage of the battery based on the power management unit in the built-in battery detection circuit to determine the charging stage of the battery during the current charging process. Wherein the charging phase comprises a constant current charging phase and a constant voltage charging phase.
In addition, the charging stage may be understood as a charging mode, such as constant current charging, constant voltage charging, etc., used in a certain period of time during the charging process.
Step 306, determining the preset charging condition according to the charging type, and collecting the charging parameter according to the corresponding relation when the preset charging condition is met.
In one embodiment, the preset charging condition corresponding to the charging phase may be determined according to the charging phase. When the preset charging conditions are multiple, one of the preset charging conditions can be selected for execution. The preset charging condition can be set by an operating system of the electronic equipment or can be set by a user in a self-defined way. When the user sets the charging conditions by self, the electronic equipment can display a determination interface of the preset charging conditions, and receive selection operations of the user, so that the preset charging conditions of the battery in the electronic equipment are determined.
When the battery is in the constant current charging stage, the corresponding preset charging conditions may be: and continuously charging from the first preset characteristic point for a preset time or continuously charging from the first preset voltage to the second preset voltage. When the battery is in the constant voltage charging stage, the corresponding preset charging conditions are as follows: and continuously charging from the second preset characteristic point for a preset time, or continuously charging from the first preset current to the second preset current.
For example, if the current charging stage of the battery is constant current charging, the first preset voltage is 3.6V, and the second preset voltage is 4.0V, and if the charging voltage reaches the characteristic point of 3.6V, the electronic device may start timing and continuously charge at a constant current (e.g. 4A) to 4.0V, and it is determined that the preset charging condition is met, the corresponding charging parameter, such as temperature information or charging duration, may be correspondingly obtained. If the current charging stage of the battery is constant voltage charging, and the second predetermined characteristic point is 4A and 3.6V, if the electronic device can start timing when the charging current and the charging voltage reach (4A and 3.6V), and the constant voltage 5V is continuously charged for a predetermined time (for example, 20 minutes), it is determined that the predetermined charging condition is satisfied, and then the corresponding charging parameter, such as temperature information or voltage information, can be correspondingly obtained.
Step 308, obtaining the charging frequency of the battery in the current charging process.
And step 310, detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
Step 308 and step 310 are arranged in a one-to-one correspondence with step 204 and step 206 in the foregoing embodiment, and are not described herein again.
In this embodiment, the electronic device may set at least one preset charging condition for the battery in advance, configure the corresponding charging parameter for each preset charging condition, acquire the charging type of the battery during the charging process of the battery, determine the preset charging condition according to the charging type, and when the condition of acting as the battery meets the preset condition during the charging process, acquire the charging parameter of the battery correspondingly, so as to improve the acquisition accuracy of the charging parameter, and improve the accuracy of battery detection.
As shown in fig. 4, in one embodiment, before the battery is charged at the current charging frequency, the battery abnormality detection method includes steps 402 to 406.
Step 402, acquiring temperature information of the battery at the charging end in the charging process of the battery.
The charging end may be understood as a charging stage when the electric quantity of the battery reaches a preset electric quantity, and may also indicate that the electric quantity of the current battery is about to be fully charged. Illustratively, the preset amount of power may be greater than or equal to 90%. When the electric quantity of the battery reaches a preset electric quantity value, the temperature information of the battery can be correspondingly acquired.
Step 404, determining whether the charging process is effective according to the temperature information.
The electronic device can determine whether the current charging process of the battery is effective according to the acquired temperature information. Specifically, the effective correspondence between the voltage value, the current value, and the temperature information may be preset, or the effective correspondence between the electric quantity information and the temperature information may be preset. If the valid corresponding relation is met, the current charging is determined to be valid, and if the valid corresponding relation is not met, the current charging is determined to be invalid. For example, when the cutoff voltage is 4.4V and the charging current is 1A, the current charging process may be determined to be valid when the temperature is 28 ℃, and when the cutoff voltage is 4.4V and the charging current is 1A, the current charging process may be determined to be invalid when the temperature is 0 ℃.
In one embodiment, in order to determine that the current charging process of the battery is a complete charging process, the charging information further includes information of the amount of power at the charging start point. The charging starting point may be understood as an initial time when the battery receives power supplied from the external charging device. For example, when the electronic device is connected with an external charging device and charges a battery, the electronic device may correspondingly obtain information of an electric quantity of the battery, and determine a discharging condition of the battery according to the information of the electric quantity and a preset discharging electric quantity. If the electric quantity information is 20% or less, the battery can be judged to be discharged completely, and if the electric quantity information is more than 20%, the battery can be judged to be discharged incompletely. If the electric quantity information of the battery in the initial charging stage is larger than or equal to the preset discharging electric quantity and the charging information of the battery in the terminal charging stage meets the effective corresponding relation, the charging process of the battery can be determined to be effective, otherwise, the charging process of the battery is determined to be ineffective.
And 406, if the charging process is valid, performing cumulative counting on the charging frequency and storing the counted charging frequency.
When the current charging process of the battery is effective, the electronic device can perform cumulative counting on the current charging process and store the current charging frequency. For example, if the charge amount of the battery in the initial charging stage is 10%, when the battery is charged to the end charging stage, the cut-off voltage is 4.4V, the charging current is 1A, and the temperature is 28 ℃, the current charging process may be counted on the basis of the charging frequency M of the previous charging, and the count 1 may be accumulated to produce the charging frequency N of the current charging.
Based on the recorded charging frequency N, the electronic device may store the charging frequency, so as to obtain the charging frequency in the charging frequency of the current charging process of the battery in the subsequent call of the charging frequency N to the electronic device, that is, in step 204, the recorded charging frequency is stored.
It is understood that, when the battery is charged by the same adapter each time, the charging process of the current time can be cumulatively counted each time the charging voltage, the charging current and the temperature of the battery reach (4.4V, 1A and 25-35 ℃) to form the charging frequency of the current charging process.
In the embodiment, in the charging process of the battery, the electronic device can acquire the charging information of the battery according to the charging terminal stage in the charging process, determine whether the current charging process is effective according to the charging information, count the charging frequency in the charging process of the battery under the effective condition, improve the effectiveness and accuracy of the charging frequency, and further improve the accuracy of the abnormal detection of the battery.
As shown in fig. 5, in one embodiment, the battery abnormality detection method includes steps 502-512.
Step 502, acquiring a charging parameter of a battery of the electronic device under a preset charging condition.
Step 504, the charging frequency of the current charging process of the battery is obtained.
Step 506, constructing a mapping relation among the charging frequency, the preset charging condition, the charging parameter and the standard parameter range.
The standard parameter range corresponds to the charging parameter, that is, each charging parameter is configured with a standard parameter range. When the preset charging conditions are different, the standard parameter ranges of the charging parameters for the same charging frequency may be the same or different. That is, the mapping relationship between the charging frequency, the preset charging condition, the charging parameter, and the standard parameter range may be correspondingly constructed.
The preset charging conditions include: preset charging condition 1, preset charging condition 2, … …, and preset charging condition n;
the charging frequency comprises: charging frequency 1, charging frequency 2, charging frequency … … and charging frequency n;
the charging parameters include: charging parameter 1 and charging parameter 2;
the standard parameter ranges include: standard parameter range 1, standard parameter range 2, … …, standard parameter range n.
The preset charging condition and the charging frequency correspond to a standard parameter range together. In establishing the relationship between the four, the standard parameter range is f (preset charging condition, charging frequency, charging parameter). The relationship may be fixed in the form of a mapping table. The relationship may be system provided, recommended, or customized by the user.
It should be noted that each charging frequency i in the charging frequency 1, the charging frequency 2, … …, and the charging frequency n corresponds to a charging frequency section within a certain range, for example, the charging frequency 1 may correspond to the charging frequencies from 1 st to 50 th; the charging frequency 1 may correspond to the charging frequencies 1 to 100 th, and the like. In the embodiment of the present application, the charging frequency range corresponding to the charging frequency i is not further limited.
The standard parameter range may be understood as a normal range of the charging parameter, and the standard parameter range may be generally characterized by the expression a ═ average ± b. Wherein a is a standard parameter range, and the average value is the average value of the charging parameter obtained by laboratory big data; b is a coefficient, which may be selected based on empirical values. For example, the empirical value may be a fixed value, or may be a variation amount associated with the charging frequency or the charging period.
In one embodiment, if the battery is in the constant current charging phase, the predetermined charging condition is to charge the battery from a first predetermined voltage (e.g., 3.6V) to a second predetermined voltage (e.g., 4.0V), and the corresponding charging parameter is the charging duration. When mapping relations among the charging frequency, the preset charging condition, the charging parameter and the standard parameter range are constructed, 100 electronic devices can be counted, a constant current charging mode is adopted, the charging is circulated for 200 times, the constant current value is 4A, the constant current charging is carried out from 3.6V to 4.0V, the corresponding charging time range is 20 minutes to 20.6 minutes, and the standard parameter range of the charging time can be set to be 20.3 +/-0.3 minutes.
And step 508, according to the standard parameter range of the charging parameter of the mapping of the actual charging frequency of the mapping relation.
In step 510, if the value of the charging parameter is within the standard parameter range, the battery is normal.
In step 512, if the value of the charging parameter is not within the standard parameter range, the battery is abnormal.
In one embodiment, the electronic device may determine, according to a preset charging condition, the obtained charging frequency and the obtained charging parameter, a standard parameter range of the charging parameter mapped with the charging frequency and the charging parameter based on the mapping relationship.
In one embodiment, if the battery is charged by a constant current, the predetermined charging condition is charging from a first predetermined voltage to a second predetermined voltage, and the corresponding charging parameter is a charging duration. The electronic device may determine the standard parameter range of the charging parameter corresponding to the preset charging condition and the charging frequency based on the mapping relationship. For example, based on the mapping relationship, it can be obtained that the standard parameter range of the charging time period corresponding to the charging frequency of 200 is 20 minutes to 20.6 minutes. If the collected charging time period under the preset charging condition is within 20 minutes to 20.6 minutes, the battery is determined to be normal, and if the collected charging time period is not within 20 minutes to 20.6 minutes, for example, 21 minutes, the battery is determined to be abnormal.
In one embodiment, if the battery is charged with a constant voltage, the predetermined charging condition is a predetermined duration from the second predetermined characteristic point, and the corresponding charging parameter is temperature information. The electronic device may determine the standard parameter range of the charging parameter corresponding to the preset charging condition and the charging frequency based on the mapping relationship. For example, a temperature value corresponding to 15 minutes after maintaining a charging voltage of 5V (constant voltage) for charging for a preset time period from a charging current of 1A may be used as the charging parameter. Based on the mapping relation, the standard parameter range of the temperature information corresponding to the charging frequency of 100 times is 27.5-28.3 ℃. If the temperature information collected under the preset charging condition is within 27.5-28.3 ℃, the battery is determined to be normal, and if the temperature information collected is not within 27.5-28.3 ℃, for example, is 29 ℃, the battery is determined to be abnormal.
In one embodiment, if the battery is charged by a constant current, the predetermined charging condition is a predetermined duration from the first predetermined characteristic point, and the corresponding charging parameter is temperature information, the electronic device may determine the standard parameter range of the charging parameter corresponding to the predetermined charging condition and the charging frequency based on the mapping relationship. For example, a temperature value corresponding to a charging parameter after maintaining a 2A charging current (constant current) for a preset charging time period of 20 minutes from a charging voltage of 3.6V may be used as the charging parameter. Based on the mapping relation, the standard parameter range of the temperature information corresponding to the charging frequency of 200 times is 28.2-29.0 ℃. If the temperature information collected under the preset charging condition is within 28.2-29.0 ℃, the battery is determined to be normal, and if the temperature information collected is not within 28.2-29.0 ℃, for example, is 29.5 ℃, the battery is determined to be abnormal.
In this example, the mapping relationship between the charging frequency, the preset charging condition, the charging parameter and the standard parameter range can be established, the standard parameter range corresponding to the charging parameter can be correspondingly obtained according to the charging parameter and the charging frequency of the battery obtained under the preset charging condition, if the acquired value of the charging parameter is in the standard parameter range, the battery can be determined to be normal, if the acquired value of the charging parameter is not in the standard parameter range, the battery can be determined to be abnormal, whether the battery is abnormal can be detected according to the charging frequency and the charging parameter acquired under different preset charging conditions, and the accuracy of battery detection is improved.
As shown in fig. 6, in one embodiment, the battery abnormality detection method includes step 602, step 608.
Step 602, obtaining a charging parameter of a battery of an electronic device under a preset charging condition.
Step 604, obtaining the charging frequency of the current charging process of the battery.
And 606, detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
Here, steps 602 to 606 correspond to steps 202 to 206 in the foregoing embodiment one to one, and are not described herein again.
Step 608, if the battery is abnormal, the battery is prompted by at least one of sound information, text information, image information, vibration information and light information.
When the battery is abnormal, the electronic equipment can output prompt information for prompting by controlling the corresponding device so as to prompt a user that the battery is possibly in fault in time and prompt the user to maintain and prevent the battery. Wherein the prompt message may include at least one of sound information, text information, image information, vibration information, and light information. For example, a display screen of the electronic device may display text information and/or image information such as "battery failure, cautious use" and the like. Furthermore, the electronic equipment can also output sound information, vibration information and light information to emphasize the emergency degree of battery abnormity so as to prompt a user to process as soon as possible, so that the use safety is prevented from being threatened by faults such as battery fire.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
Fig. 7 is a block diagram showing the structure of a battery abnormality detection device according to an embodiment. As shown in fig. 7, the battery abnormality detection apparatus includes:
a parameter obtaining module 710, configured to obtain a charging parameter of a battery of the electronic device under a preset charging condition;
a frequency obtaining module 720, configured to obtain a charging frequency of the battery in a current charging process;
and an anomaly detection module 730, configured to detect whether the battery is abnormal according to the charging parameter and the charging frequency.
The battery abnormity detection device can correspondingly acquire the charging parameters of the battery of the electronic equipment under the preset charging condition, acquire the charging frequency of the current charging process of the battery and detect whether the battery is abnormal according to the charging parameters and the charging frequency, can detect the charging parameters based on the charging frequency, and further judge whether the battery is abnormal, can avoid the battery aging after the battery is charged for many times frequently, increase the internal resistance of the battery, reduce the reversible capacity and cause the occurrence of abnormal detection misjudgment, and further can improve the accuracy of battery abnormity detection.
In one embodiment, the parameter obtaining module 710 is further configured to set at least one preset charging condition for a battery of the electronic device, and configure a corresponding charging parameter for each preset charging condition.
In one embodiment, the charging parameter includes temperature information, voltage information, current information, or charging duration; wherein the corresponding relationship between the preset charging condition and the charging parameter includes one of:
charging parameters corresponding to a preset constant-current continuous charging time length from a first preset characteristic point are the temperature information or the voltage information;
the charging parameter corresponding to the constant-voltage continuous charging preset time length from the second preset characteristic point is the temperature information or the current information;
charging parameters corresponding to constant current charging from a first preset voltage to a second preset voltage are temperature information or charging duration;
and the charging parameter corresponding to the constant voltage charging from the first preset current to the second preset current is temperature information or charging duration.
In one embodiment, the parameter obtaining module 710 is further configured to obtain a charging type of a charging process of the battery, where the charging type includes constant current charging and constant voltage charging; and determining the preset charging condition according to the charging type, and acquiring the charging parameters according to the corresponding relation when the preset charging condition is met.
In one embodiment, the battery test apparatus further comprises:
the counting module is used for acquiring the temperature information of the battery at the charging end in the charging process of the battery; determining whether the charging process is effective according to the temperature information; and if the charging process is effective, performing cumulative counting on the charging frequency and storing the counted charging frequency.
In one embodiment, the parameter obtaining module 710 is further configured to obtain information of an electric quantity of a charging starting point in a charging process of the battery; and the counting module is also used for determining whether the charging process is effective or not according to the temperature information and the electric quantity information.
In one embodiment, the battery test apparatus further comprises: and the mapping module is used for constructing the mapping relation among the charging frequency, the preset charging condition, the charging parameter and the standard parameter range. The anomaly detection module 730 is configured to determine, according to the mapping relationship, a standard parameter range of the charging parameter mapped by the charging frequency; if the value of the charging parameter is within the standard parameter range, the battery is normal; and if the numerical value of the charging parameter is not in the standard parameter range, the battery is abnormal.
In one embodiment, the battery test apparatus further comprises: and the prompting module is used for prompting in at least one mode of sound information, text information, image information, vibration information and light information when the battery is abnormal.
The division of each module in the battery abnormality detection apparatus is only for illustration, and in other embodiments, the battery abnormality detection apparatus may be divided into different modules as needed to complete all or part of the functions of the battery abnormality detection apparatus.
For specific limitations of the battery abnormality detection device, reference may be made to the above limitations of the battery abnormality detection method, which are not described herein again. Each module in the battery abnormality detection apparatus described above may be entirely or partially implemented by software, hardware, or a combination thereof. The modules may be embedded in hardware or independent from the processor 120 in the computer device, or may be stored in the memory 130 in the computer device in software, so that the processor 120 can call and execute operations corresponding to the modules.
The implementation of each module in the battery abnormality detection apparatus provided in the embodiment of the present application may be in the form of a computer program. The computer program may be run on an electronic device or a server. Program modules constituting the computer program may be stored on the memory 130 of the electronic device. Which when executed by the processor 120, performs the steps of the method described in the embodiments of the present application.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media containing computer-executable instructions that, when executed by one or more processors 120, cause the processors 120 to perform the steps of the battery abnormality detection method.
A computer program product containing instructions which, when run on a computer, cause the computer to perform a battery abnormality detection method.
Any reference to memory 130, storage, database, or other medium used herein may include non-volatile and/or volatile memory 130. Non-volatile memory 130 may include read only memory 130(ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory 130 can include random access memory 130(RAM), which acts as external cache memory 130. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), memory 130 bus (Rambus) direct RAM (RDRAM), direct memory 130 bus dynamic RAM (DRDRAM), and memory 130 bus dynamic RAM (RDRAM).
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (11)

1. A battery abnormality detection method applied to an electronic device, the method comprising:
acquiring charging parameters of a battery of the electronic equipment under a preset charging condition;
acquiring the charging frequency of the battery in the current charging process;
and detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
2. The method of claim 1, wherein before obtaining the charging parameters of the battery of the electronic device under the preset charging condition, the method further comprises:
and setting at least one preset charging condition for the battery of the electronic equipment, and configuring corresponding charging parameters for each preset charging condition.
3. The method of claim 2, wherein the charging parameter comprises temperature information, voltage information, current information, or a charging duration; wherein the corresponding relationship between the preset charging condition and the charging parameter includes one of:
charging parameters corresponding to a preset constant-current continuous charging time length from a first preset characteristic point are the temperature information or the voltage information;
the charging parameter corresponding to the constant-voltage continuous charging preset time length from the second preset characteristic point is the temperature information or the current information;
charging parameters corresponding to constant current charging from a first preset voltage to a second preset voltage are temperature information or charging duration;
and the charging parameter corresponding to the constant voltage charging from the first preset current to the second preset current is temperature information or charging duration.
4. The method of claim 3, wherein the obtaining the charging parameters of the battery of the electronic device under the preset charging condition comprises:
acquiring a charging type of the battery in a charging process, wherein the charging type comprises constant-current charging and constant-voltage charging;
and determining the preset charging condition according to the charging type, and acquiring the charging parameters according to the corresponding relation when the preset charging condition is met.
5. The method of claim 1, wherein the obtaining that the battery is before a charging frequency of a current charging process, the method further comprises:
acquiring temperature information of the battery at a charging end in the charging process of the battery;
determining whether the charging process is effective according to the temperature information;
and if the charging process is effective, performing cumulative counting on the charging frequency and storing the counted charging frequency.
6. The method of claim 5, wherein before determining whether the charging process is effective based on the temperature information, further comprising:
acquiring the electric quantity information of a charging starting point in the charging process of the battery;
the determining whether the charging process is valid according to the temperature information includes:
and determining whether the charging process is effective or not according to the temperature information and the electric quantity information.
7. The method of claim 1, wherein before detecting whether the battery is abnormal according to the charging parameter and the charging frequency, the method further comprises:
constructing a mapping relation among the charging frequency, the preset charging condition, the charging parameter and the standard parameter range;
the detecting whether the battery is abnormal according to the charging parameters and the charging frequency comprises:
according to the standard parameter range of the charging parameter actually mapped by the charging frequency according to the mapping relation;
if the value of the charging parameter is within the standard parameter range, the battery is normal;
and if the numerical value of the charging parameter is not in the standard parameter range, the battery is abnormal.
8. The method of any one of claims 1 to 7, wherein if the battery is abnormal, the method further comprises:
the presentation is performed by at least one of sound information, text information, image information, vibration information, and light information.
9. A battery abnormality detection apparatus applied to an electronic device, the apparatus comprising:
the parameter acquisition module is used for acquiring charging parameters of a battery of the electronic equipment under a preset charging condition;
the frequency acquisition module is used for acquiring the charging frequency of the battery in the current charging process;
and the abnormity detection module is used for detecting whether the battery is abnormal or not according to the charging parameters and the charging frequency.
10. An electronic device comprising a battery, a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of the battery abnormality detection method according to any one of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the battery abnormality detection method according to any one of claims 1 to 8.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113612295A (en) * 2021-10-11 2021-11-05 深圳市驰普科达科技有限公司 Emergency energy storage battery electric energy management method, device and medium
CN114520822A (en) * 2022-02-16 2022-05-20 东集技术股份有限公司 Monitoring system, method, equipment and storage medium for equipment battery
CN115149122A (en) * 2022-07-25 2022-10-04 合众新能源汽车有限公司 Early warning method and device for battery safety
WO2022205378A1 (en) * 2021-04-01 2022-10-06 宁德时代新能源科技股份有限公司 Detection method and apparatus for charging abnormalities, and storage medium
CN115219930A (en) * 2022-03-29 2022-10-21 广州汽车集团股份有限公司 Vehicle storage battery aging early warning method and device, electronic equipment and storage medium
CN115308602A (en) * 2021-05-08 2022-11-08 北京骑胜科技有限公司 Battery detection method, device, server, storage medium and program product
CN116047312A (en) * 2023-03-27 2023-05-02 广州锐速智能科技股份有限公司 Household energy storage system safety monitoring method, system, equipment and medium
CN116125298A (en) * 2022-11-28 2023-05-16 伏瓦科技(苏州)有限公司 Battery fault detection method and device
CN117200401A (en) * 2023-11-07 2023-12-08 宁德时代新能源科技股份有限公司 Battery charging control method, device, equipment and storage medium

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002345158A (en) * 2001-05-15 2002-11-29 Toyo System Co Ltd Method and apparatus for confirming charging amount and deterioration condition of battery, recording medium, information processing device, and electronic equipment
CN101800340A (en) * 2009-02-05 2010-08-11 三洋电机株式会社 The abnormality detection device of secondary cell and secondary cell device
WO2012071809A1 (en) * 2010-11-29 2012-06-07 中兴通讯股份有限公司 Battery charge detection method and charge detection device
EP2568569A2 (en) * 2011-09-12 2013-03-13 Panasonic Corporation Charger
CN103166283A (en) * 2011-12-15 2013-06-19 松下电器产业株式会社 Charge circuit, and battery-charger assemblage with the charge circuit
CN106324525A (en) * 2016-10-12 2017-01-11 宁德新能源科技有限公司 Detecting method and device for battery
JP2017011978A (en) * 2015-06-26 2017-01-12 有限会社オーエイチケー研究所 Battery charger and battery diagnostic device using the same and battery regenerator
CN107167737A (en) * 2017-03-31 2017-09-15 惠州市蓝微新源技术有限公司 A kind of battery system method for safety monitoring
CN108539804A (en) * 2017-03-03 2018-09-14 北京小米移动软件有限公司 Battery charging control method, battery charging control device and electronic equipment
WO2019037108A1 (en) * 2017-08-25 2019-02-28 深圳市云中飞网络科技有限公司 Terminal device, adapter, battery safety monitoring method and monitoring system
CN110085934A (en) * 2019-05-30 2019-08-02 维沃移动通信有限公司 A kind of charging method and mobile terminal of end cell
CN110412480A (en) * 2019-07-10 2019-11-05 Oppo广东移动通信有限公司 Battery screening technique, device and computer storage medium and test macro
CN110546848A (en) * 2017-04-14 2019-12-06 株式会社村田制作所 Charging control device and charging unit
CN110568361A (en) * 2019-09-12 2019-12-13 华中科技大学 Method for predicting health state of power battery
CN110649675A (en) * 2019-09-26 2020-01-03 Oppo(重庆)智能科技有限公司 Charging control method and device, electronic equipment and computer readable storage medium
CN111722134A (en) * 2019-03-18 2020-09-29 Oppo广东移动通信有限公司 Method and device for measuring direct current impedance of battery, charging system and terminal equipment

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002345158A (en) * 2001-05-15 2002-11-29 Toyo System Co Ltd Method and apparatus for confirming charging amount and deterioration condition of battery, recording medium, information processing device, and electronic equipment
CN101800340A (en) * 2009-02-05 2010-08-11 三洋电机株式会社 The abnormality detection device of secondary cell and secondary cell device
WO2012071809A1 (en) * 2010-11-29 2012-06-07 中兴通讯股份有限公司 Battery charge detection method and charge detection device
EP2568569A2 (en) * 2011-09-12 2013-03-13 Panasonic Corporation Charger
CN103001299A (en) * 2011-09-12 2013-03-27 松下电器产业株式会社 Charger
CN103166283A (en) * 2011-12-15 2013-06-19 松下电器产业株式会社 Charge circuit, and battery-charger assemblage with the charge circuit
JP2017011978A (en) * 2015-06-26 2017-01-12 有限会社オーエイチケー研究所 Battery charger and battery diagnostic device using the same and battery regenerator
CN106324525A (en) * 2016-10-12 2017-01-11 宁德新能源科技有限公司 Detecting method and device for battery
CN108539804A (en) * 2017-03-03 2018-09-14 北京小米移动软件有限公司 Battery charging control method, battery charging control device and electronic equipment
CN107167737A (en) * 2017-03-31 2017-09-15 惠州市蓝微新源技术有限公司 A kind of battery system method for safety monitoring
CN110546848A (en) * 2017-04-14 2019-12-06 株式会社村田制作所 Charging control device and charging unit
WO2019037108A1 (en) * 2017-08-25 2019-02-28 深圳市云中飞网络科技有限公司 Terminal device, adapter, battery safety monitoring method and monitoring system
CN111722134A (en) * 2019-03-18 2020-09-29 Oppo广东移动通信有限公司 Method and device for measuring direct current impedance of battery, charging system and terminal equipment
CN110085934A (en) * 2019-05-30 2019-08-02 维沃移动通信有限公司 A kind of charging method and mobile terminal of end cell
CN110412480A (en) * 2019-07-10 2019-11-05 Oppo广东移动通信有限公司 Battery screening technique, device and computer storage medium and test macro
CN110568361A (en) * 2019-09-12 2019-12-13 华中科技大学 Method for predicting health state of power battery
CN110649675A (en) * 2019-09-26 2020-01-03 Oppo(重庆)智能科技有限公司 Charging control method and device, electronic equipment and computer readable storage medium

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022205378A1 (en) * 2021-04-01 2022-10-06 宁德时代新能源科技股份有限公司 Detection method and apparatus for charging abnormalities, and storage medium
US12095303B2 (en) 2021-04-01 2024-09-17 Contemporary Amperex Technology Co., Limited Method and device for detecting charging abnormality, and storage medium
CN115308602A (en) * 2021-05-08 2022-11-08 北京骑胜科技有限公司 Battery detection method, device, server, storage medium and program product
CN113612295B (en) * 2021-10-11 2022-02-22 深圳市驰普科达科技有限公司 Emergency energy storage battery electric energy management method, device and medium
CN113612295A (en) * 2021-10-11 2021-11-05 深圳市驰普科达科技有限公司 Emergency energy storage battery electric energy management method, device and medium
CN114520822A (en) * 2022-02-16 2022-05-20 东集技术股份有限公司 Monitoring system, method, equipment and storage medium for equipment battery
CN115219930B (en) * 2022-03-29 2024-04-19 广州汽车集团股份有限公司 Vehicle storage battery aging early warning method and device, electronic equipment and storage medium
CN115219930A (en) * 2022-03-29 2022-10-21 广州汽车集团股份有限公司 Vehicle storage battery aging early warning method and device, electronic equipment and storage medium
CN115149122A (en) * 2022-07-25 2022-10-04 合众新能源汽车有限公司 Early warning method and device for battery safety
CN115149122B (en) * 2022-07-25 2024-06-11 合众新能源汽车股份有限公司 Early warning method and device for battery safety
CN116125298A (en) * 2022-11-28 2023-05-16 伏瓦科技(苏州)有限公司 Battery fault detection method and device
CN116047312A (en) * 2023-03-27 2023-05-02 广州锐速智能科技股份有限公司 Household energy storage system safety monitoring method, system, equipment and medium
CN117200401A (en) * 2023-11-07 2023-12-08 宁德时代新能源科技股份有限公司 Battery charging control method, device, equipment and storage medium
CN117200401B (en) * 2023-11-07 2024-03-29 宁德时代新能源科技股份有限公司 Battery charging control method, device, equipment and storage medium

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