KR20160033588A - A method and a mobile communication terminal for estimating battery consumption state - Google Patents
A method and a mobile communication terminal for estimating battery consumption state Download PDFInfo
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- KR20160033588A KR20160033588A KR1020150108341A KR20150108341A KR20160033588A KR 20160033588 A KR20160033588 A KR 20160033588A KR 1020150108341 A KR1020150108341 A KR 1020150108341A KR 20150108341 A KR20150108341 A KR 20150108341A KR 20160033588 A KR20160033588 A KR 20160033588A
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- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C19/00—Electric signal transmission systems
- G08C19/02—Electric signal transmission systems in which the signal transmitted is magnitude of current or voltage
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Abstract
According to the present invention, A method of estimating a battery consumption state of a mobile communication terminal, comprising the steps of: databaseing characteristic information of a battery that changes based on at least one of a temperature and an aging characteristic of a battery providing power to the mobile communication terminal; Estimating consumed power and battery consumption rate of the mobile communication terminal based on the characteristic information of the mobile communication terminal, and displaying the estimated related information.
Description
The present disclosure relates to a method of estimating a consumption state of a battery and a mobile communication terminal thereof.
2. Description of the Related Art Generally, a method of estimating a capacity of a battery that provides power to a mobile communication terminal is mainly used for preventing a battery from being completely discharged to prevent damage to the battery or enabling a corresponding terminal in an emergency Has been used.
However, in accordance with the rapid development of mobile communication, the mobile communication terminal provides the user with data communication functions such as schedule management, facsimile transmission and reception, and Internet access, Audio devices, and the like. Also, the mobile communication terminal can use an online game and a streaming video and audio service by installing an application. As a result, the power consumption of the battery of the mobile communication terminal becomes different depending on the use or operation of the user. Also, in consideration of the portability and design of the mobile communication terminal, a small battery is used for the mobile communication terminal. In order to continuously use the mobile communication terminal, battery replacement and charging are required periodically. Therefore, it is one of factors to improve the sensory performance of the user by reducing the battery replacement or the number of charging times of the user terminal, and thus various low power terminal operation techniques have been studied. It is essential to estimate the power consumption of the terminal for the adaptive operation of the low-power terminal operation method by recognizing the current power consumption of the terminal.
Therefore, in order to improve the use time of the mobile communication terminal, the power consumption amount of the battery of the mobile communication terminal needs to be more accurately and specifically predicted.
The present disclosure proposes a method of estimating battery consumption and a mobile communication terminal.
A method according to an embodiment of the present disclosure includes: A method of estimating a battery consumption state of a mobile communication terminal, comprising the steps of: databaseing characteristic information of a battery that changes based on at least one of a temperature and an aging characteristic of a battery providing power to the mobile communication terminal; Estimating consumed power and battery consumption rate of the mobile communication terminal based on the characteristic information of the mobile communication terminal, and displaying the estimated related information.
An apparatus according to an embodiment of the present disclosure includes: A mobile communication terminal for estimating a consumption state of a battery, comprising: a training module for converting characteristics information of a battery, which varies based on at least one of a temperature and an aging characteristic of a battery providing power to the mobile communication terminal, into a database; And estimates consumption power and battery consumption rate of the mobile communication terminal based on the characteristic information of the mobile communication terminal and controls the display of the estimated related information on the display screen.
The present disclosure can more accurately control the power of the mobile communication terminal by estimating the battery consumption state more accurately.
1A is a graph showing a supply voltage of a Li-ion battery according to SoC.
1B is an example of a device configuration diagram for estimating consumed power, battery consumption rate, and duration of a mobile communication terminal according to an embodiment of the present disclosure;
2A is an example of a detailed configuration diagram of a battery characteristic training module according to an embodiment of the present disclosure;
FIG. 2B is a graph showing the relationship between the current flow pattern of the training operation according to the embodiment of the present disclosure and the voltage drop variation in the battery internal resistance measured in the current flow training according to the temperature,
2C is a graph of the relationship between SoC and operating time at various temperatures by operation of a training application according to an embodiment of the present disclosure,
FIG. 3A is a graph showing the relationship between the total battery capacity and the temperature estimated by the operation of the training application according to the embodiment of the present disclosure,
3B is a graph of the relationship between the internal resistance of the battery and the temperature estimated by the operation of the training application according to the embodiment of the present disclosure,
FIG. 3C is an example of the operational flow diagram of the estimator of FIG. 1B according to the embodiment of the present disclosure;
FIG. 4A is a diagram for specifically explaining an example of an operation of the
4B shows an equivalent circuit of the battery of FIG. 4A,
4C is a graph of the result of a voltage drop (V oc -V out ) in a battery internal resistance with temperature according to an embodiment of the present disclosure;
5 is an example of a detailed configuration diagram of the
FIG. 6A is a diagram illustrating an example in which information related to battery consumption status according to the embodiment of the present disclosure is implemented on a display screen,
FIG. 6B is a view showing another example in which information related to the battery consumption state according to the embodiment of the present disclosure is implemented on a display screen,
FIG. 6C is a view showing another example in which information related to battery consumption status according to the embodiment of the present disclosure is implemented on a display screen,
FIG. 7A illustrates an example of a graph of battery consumption status information when performing an operation of receiving video data at a mobile communication terminal according to an embodiment of the present disclosure; FIG.
FIG. 7B is a graph showing an example of a graph comparing an estimated value of battery consumption status information with a measured value when performing an operation of receiving video data in a mobile communication terminal according to an embodiment of the present disclosure;
FIG. 7C illustrates an example of a graph of battery consumption status information when the mobile communication terminal performs web surfing according to an embodiment of the present disclosure;
FIG. 7D is an example of a graph comparing an estimated value and a measured value of battery consumption status information when performing web surfing,
FIGS. 8A and 8B are graphs showing an example of a graph obtained by estimating the available capacity and the internal resistance of the battery during a time period during which the fully charged battery is in the fully discharged state,
9A is an example of a device configuration diagram according to another embodiment of the present disclosure,
FIG. 9B is an example of the operation flow chart of the apparatus configuration diagram of FIG. 9A according to the embodiment of the present disclosure,
10 is an operation algorithm of the no-load voltage estimating unit according to the embodiment of the present disclosure,
11 is a diagram illustrating a battery parameter estimating operation algorithm according to an embodiment of the present disclosure,
FIG. 12 is a graph showing performance evaluations for six and four batteries in two types of smart devices according to an embodiment of the present disclosure; FIG.
13 is an example of a result of measuring battery consumption rate in real time while operating various applications for a smart device equipped with an aged battery according to an embodiment of the present disclosure.
Generally, the power of the mobile communication terminal is obtained by measuring the current flowing to the terminal using an external measuring instrument.
On the other hand, in the case of a mobile communication terminal using the Android operating system, there is an application program interface (API) for providing battery information, so that battery information can be acquired at an application terminal. However, the battery information provided by the API is about the temperature, the state, the voltage and the type of the battery. Accordingly, since the general mobile communication terminal can not acquire information on the current flowing to the terminal through the battery information, it is difficult to estimate the consumed power.
Accordingly, a method for estimating the consumed power of a mobile communication terminal without external measurement equipment has been studied. One of them is a method of using a chip that measures the state of charge (SoC) in the mobile communication terminal. The SoC estimated through such a chip is defined as the rated capacity for the maximum capacity of the battery and is provided as an integer between 0 and 100 in units of%. Accordingly, since the user can estimate the battery consumption speed only when the current capacity of the battery is reduced by 1%, the updating period of the consumed power becomes longer by several minutes. Further, in a situation where the consumed power of the battery is low, there is a problem that the update period of the predicted consumed electric power becomes longer.
As shown in the table of FIG. 1A, the other scheme uses a relation that a supply voltage (Open circuit voltage, V OC ) of a Li-ion battery mainly used in a smart phone or the like decreases as the SoC decreases.
Since the terminal can not directly measure the supply voltage of the battery, the measured load voltage can be approximated to the supply voltage of the battery by measuring the load voltage of the terminal. Practically, the load voltage is a value that is reduced by the voltage drop in the internal resistance of the battery at the supply voltage of the battery. Therefore, when the current flowing in the terminal increases, the voltage drop in the internal resistance of the battery also becomes large, so that the load voltage measured for the terminal becomes significantly smaller than the supply voltage of the battery. If the variation of the current of the terminal is large, it is difficult to accurately estimate the supply voltage of the battery, and there is a high possibility that the SoC is erroneously estimated.
Therefore, in one embodiment of the present disclosure, there is provided a method of estimating a current flowing in a terminal from a change in a load voltage applied to the terminal, which can be measured by a mobile communication terminal, estimating consumed power of the terminal using the estimated current, Configuration. Hereinafter, a mobile communication terminal using a Li-ion battery having a built-in battery interface for providing battery information such as battery temperature, load voltage, and SoC will be described as an example.
Specifically, in one embodiment of the present disclosure, in order to more accurately measure the consumed electric power of the mobile communication terminal, the battery internal resistance and the total capacity change of the battery are measured according to the temperature of the mobile communication terminal, , And estimates the power consumption of the battery.
1B is an example of a device configuration diagram for estimating consumed power, battery consumption rate, and duration of a mobile communication terminal according to an embodiment of the present disclosure.
Referring to FIG. 1B, the
For convenience of explanation, it is assumed that the
The battery
The Li-on battery which the
Also, when estimating the battery consumption rate and duration, the accuracy of the full capacity of the battery can affect the accuracy of the consumption rate and the estimate of the duration. Therefore, in the embodiment of the present disclosure, in consideration of the portion of the environment in which the user uses the terminal affects the temperature of the battery, the consumed electric power of the terminal and the battery Estimate the consumption rate. Accordingly, the analyzer 104-1 measures the temperature of the battery according to the embodiment of the present disclosure, operates an application for training battery characteristics based on the measured temperature, and acquires battery characteristic data obtained as a result And stores it in the storage unit 104-2. The battery characteristic data may include a battery internal resistance according to the temperature of the
2A is an example of a detailed configuration diagram of a battery characteristic training module according to an embodiment of the present disclosure. For convenience of explanation, the description will be made on the basis of the battery
Referring to FIG. 2A, the battery
Specifically, the battery
The trained battery characteristic data, which is a result modeled by each of the three
FIG. 2B shows the current flow pattern of the training operation for modeling the internal resistance of the battery with temperature and the change in the voltage drop in the battery internal resistance measured during the current flow training according to the temperature. In this case, for example, when an external temperature is placed in a device capable of changing the temperature such as a freezing room, for example, a room temperature terminal is caused to flow in a constant current to the terminal, to be.
2C is a graph showing SoC according to temperature. In this case, as shown in Table 2b, when the training application for causing the current to flow is executed, the SoC with time is shown. The SoC has an integer value between 0 and 100, and the value between the integer values of the SoC on the graph is connected by a straight line. Here, in the graph of FIG. 2C, the numbers mapped to each of the straight lines and the dotted lines indicate the temperature of the battery. As shown in FIG. 2C, it can be seen that SoC decreases rapidly as the temperature is lowered, which can be interpreted as a decrease in the total usable capacity of the battery as the temperature of the battery decreases. Flowing a constant current for a period of time Tt to estimate the available capacity of the battery, it is possible to operate the application to repeat the training operation for rest during the time T b. Through the operation of the training application as described above, for example, a result graph of FIGS. 3A and 3B can be obtained.
Referring to FIGS. 3A and 3B, as the temperature decreases, the total capacity of the battery decreases and the size of the internal resistance increases.
3C is an example of an operation flow chart of the estimating unit of FIG. 1B according to the embodiment of the present disclosure.
Referring to FIG. 3C, in
In
4A is a diagram for explaining an example of an operation in which the
4A, the
FIG. 4B is a diagram showing a relationship between an equivalent circuit for looking at a terminal in a battery and a supply voltage V OC of the battery, a battery internal resistance R, a voltage drop V r in the battery internal resistance, and a load voltage V out . The load voltage V out can be calculated as a value reduced by the voltage drop V r in the battery internal resistance at the battery supply voltage V OC as shown in Equation (1) below.
The battery
The V OC in the previous resting operation can be approximated to the V out in the resting operation while the current in the terminal flows. That is, when there is almost no current flowing in the terminal, such as a break time of the training process, V OC can be approximated to V out according to Equation (2).
The estimated V OC in the rest period can be regarded as V OC when the current of I t flows to the next terminal. The battery
Equation (3) is valid at an arbitrary temperature T. As an example, suppose that the terminal is placed in a temperature-changing device in which the temperature continuously increases or decreases in the range of 40 degrees to -10 degrees, and a battery characteristic training application is executed to flow the current of I t .
The difference between V oc and V out can be calculated by estimating V out and V oc at the terminal simultaneously with execution of the battery characteristic training application. Accordingly, a graph of the result of V oc -V out according to the temperature can be obtained as shown in FIG. 4c. Based on FIG. 4c and Equation (3), the internal resistance according to the temperature can be obtained as shown in FIG. 3b. Specifically, sufficient samples for V oc -V out according to the temperature are obtained, and the values of V oc -V out according to the value of y-axis for each sample, that is, temperature are divided by It as shown in Equation (3) A graph of temperature: battery internal resistance to be obtained by replacing with a resistor can be obtained. The internal resistance of the battery according to the temperature can be stored in a database. The internal resistance of each temperature unit can be stored in the database. The internal resistance of the battery can be stored in a predetermined temperature range of, for example, -10, 0, 10, 20, 30, Only the resistance value can be stored, and the internal resistance value for the remaining temperatures can be obtained by linear interpolation.
The battery information log data generated as a result of the training of the battery
Then, the battery
The no-
As described above, the estimated initial V OC has a characteristic in which the value gradually decreases as the battery is discharged, as shown in Table 1 above. Thus, to prevent errors in current estimates that may occur over time, the no-
The no-load
The slope of the delta linear function of V oc and SoC between " SoC in any time interval " and " SoC smaller than 1 &
Can be expressed as Here, the physical meaning of the slope a indicates a decrease in the average V OC when the SoC of the battery is reduced by 1%. Therefore, 1 / a% of the total battery energy must be consumed for V OC to decrease by one. Therefore, cumulative consumption energy is calculated every ts from t1, and VOC is decreased by 1 when cumulative consumption energy becomes (C / 100) a (1 / a% of total battery energy). Here, C is the total energy of the battery. Thereafter, this point is referred to as t1 again, and the cumulative energy is initialized, and the above process can be repeated to correct the VOC.Also, according to the relation between V OC and V out described above, V out = V OC - V r = V OC -IR, V OC always has a value larger than V out . Therefore, when the measured V out value is larger than V OC , since V OC is erroneously estimated, the measured V out is replaced with V OC .
Based on the above two schemes, the no-
The no-load
The V OC -
The battery consumption
Then, the battery consumption
Then, the battery consumption
here,
Is defined as a weight to be applied to the instantaneous power to obtain the moving average power consumption. The larger the value of the instantaneous power consumption is, the larger the instantaneous power consumption is reflected in the moving average power consumption. Since instantaneous power consumption can be highly variable, mobile average power consumption is utilized. In other words, the moving average power consumption is used to reduce the fluctuation of the battery duration, the battery consumption rate, and the power consumption of the terminal to be provided to the future user and to show an average value. The battery consumption
Then, the battery consumption
In
5 is an example of a detailed configuration diagram of the
5, the
The display
FIG. 6A is a diagram illustrating an example of information on battery consumption status according to an embodiment of the present disclosure implemented on a display screen. FIG.
Referring to FIG. 6A, the display
FIG. 6B is a diagram showing another example in which information related to the battery consumption state according to the embodiment of the present disclosure is implemented on a display screen.
Referring to FIG. 6B, the display
FIG. 6C is a diagram illustrating another example in which information related to the battery consumption state according to the embodiment of the present disclosure is implemented on a display screen.
Referring to FIG. 6C, the display
The displayed value update
In
FIG. 7A is an example of a graph of information on battery consumption status when performing an operation of receiving video data in a mobile communication terminal according to an embodiment of the present disclosure.
7A, it is assumed that a user plays streaming video data, for example, in a mobile communication terminal. That is, the power consumption of the streaming video is represented by the duration of the data, the received power consumption, and the weighted moving average (WMA). The WMA consumed power was weighted to 0.7. The time is expressed in units of seconds. It can be seen that the instantaneous consumption power decreases and the duration increases as the reception of the video being reproduced is terminated at the time corresponding to 15 seconds.
FIG. 7B is an example of a graph comparing an estimated value of battery consumption status information with a measured value when performing an operation of receiving video data in a mobile communication terminal according to an embodiment of the present disclosure.
7B, it is shown that the difference between the average value of the estimated average power consumption (Avg. Row in the power. Row) and the average value of the measured value (Avg. Row in the Measured power row) is not large for three experiments.
FIG. 7C is an example of a graph of battery consumption status information when the mobile communication terminal performs web surfing according to the embodiment of the present disclosure, FIG. 7D is an example of battery consumption status information when performing web surfing Is an example of a graph comparing the estimated value with the measured value.
The graphs of FIGS. 7C and 7D are also not significantly different from the case of receiving video data.
Hereinafter, another embodiment of the present disclosure considers not only the temperature of the mobile communication terminal but also the battery characteristic change according to the aging state of the battery mounted in the mobile communication terminal. As described above, when the temperature of the Li-on battery, which is one of the batteries that the mobile communication terminal can use, decreases or the aging progresses much, the chemical reaction capacity decreases and the battery performance decreases. Furthermore, Li-ion batteries with lower temperatures or more aging tend to have higher internal resistance and lower available capacity. The degree of aging of the battery becomes worse as the battery is fully charged / discharged. Hereinafter, the present invention will be described on the assumption that an aged battery is distinguished from a new battery by checking whether the number of fully charged / discharged batteries is greater than a predetermined number.
FIGS. 8A and 8B are graphs illustrating a result of estimating an available capacity and an internal resistance of the battery during a time period during which the fully charged battery is in a fully discharged state. In this case, the floating point operation consuming a constant current for the battery during the time period is repeatedly performed for a predetermined time, and then the operation of resting for a predetermined interval is repeated to measure the available capacity and the internal resistance. At this time, three new batteries that have not been used for the same smartphone, and three batteries that have been charged / discharged more than the predetermined number of times (hereinafter, referred to as 'aging battery') are measured. Each of the new batteries in the graph corresponds to "
Referring to FIGS. 8A and 8B, as the temperature of the aged batteries is lowered as compared with the new battery, the total capacity decreases and the internal resistance becomes larger. Based on this estimation result, the battery total capacity and the internal resistance in the current state of the mobile communication terminal can be expressed as Equation (10).
In Equation (10), C (T, d H ) and r (T, d H ) denote the total capacity C of the battery and the internal resistance r considering the present temperature T and the present aging degree dH of the battery. C f and r f represent the total capacity and internal resistance of the new battery at room temperature. ε t and ε a are the ratios of the total capacity to the variation C f according to temperature and aging conditions, respectively, and μ t and μ a are the ratios to the variation r f of the internal resistance with temperature and aging, respectively.
Hereinafter, in the embodiment of the present disclosure, it is possible to estimate the total capacity of the battery and the internal resistance value according to the temperature and the aging state, The battery consumption rate and the sustainable operation time are estimated by reflecting the total capacity and internal resistance of the battery.
And, the embodiments of the present disclosure are based on operation in a smart device using a Li-ion battery having an embedded battery interface that provides battery temperature, battery voltage, remaining battery capacity values, and the like. The operation according to this embodiment of the present disclosure can be performed in the device configuration diagram of Fig. 9A, which is obtained by modifying the device configuration diagram of Fig. 4A.
9A, the estimating
In the embodiment of the present disclosure, the no-load
The battery parameter estimator 906 according to the embodiment of the present disclosure calculates the effective resistance (r e ) using the no-load voltage estimated by the no-
The no-load
In a state where the battery of the terminal is being discharged, the no-load voltage is reduced according to the amount of the used battery. Accordingly, the no-
Specifically, in the embodiment of the present disclosure, in order to estimate the first no-load voltage, the above-mentioned point of view can be obtained by operating in a state in which the background operation in the terminal or the application in operation is halted to minimize power consumption. In this case, since the load voltage and the no-load voltage are almost the same, the no-
here,
Is the amount of no-load voltage that is estimated to have decreased between the previous sample time t k-1 and the current sample time t k . R d [t k-1 ] is the estimated battery consumption rate from the battery consumptionThat is, the no-load
The no-load
The battery parameter estimator 906 according to the embodiment of the present invention defines the effective resistance r e as Equation (12), and estimates the effective resistance value and transmits it to the battery
Here, the effective resistance r e (T, d H ) is the current resistance value of the battery
) And the change in total capacity of the battery due to aging ( ). r e is derived by the battery parameter estimator 906 using the algorithm described in FIG. First, the battery parameter estimator 906 receives the estimated no-load voltage from the no-
Where, tn is the sample time instant of the SoC which n, means adds the V oc -V out with respect to the interval [t (n + 1), t n] is the time, which is maintained at a SoC n + 1 It means accumulating the value obtained by multiplying the difference between the no-load voltage and the load voltage by the sample period over time. That is, the SoC can estimate r e using the accumulated value and Cf for a certain period of time.
The r e according to the embodiment of the present disclosure is updated in real time at runtime and can reflect changes in the current temperature and aging state using moving averages and appropriate weights. By using this r e , this disclosure can reflect the effect of temperature and aging on the battery capacity and internal resistance modeling without performing the modeling. That is, r e is used to calculate the battery consumption rate R d and the battery duration L in the battery consumption
The
According to the embodiment of the present disclosure, the battery consumption
Here, C f represents the total capacity of the new battery at room temperature, r represents the internal resistance of the battery, V oc represents the no-load voltage, and V out represents the load voltage. The relationship between the voltage drop V r at the internal resistance of the battery, the current I consumed by the terminal, the no-load voltage and the load voltage
to be. By modifying the <If the battery parameter estimator 906 according to the embodiment of the present disclosure executes a
As described above, the no-load
Then, the consumed speed estimated by the battery consumption
FIG. 9B is an example of an operation flow chart of the apparatus configuration diagram of FIG. 9A according to the embodiment of the present disclosure.
9B, in
In
Then, in
The battery consumption rate of the smart device can be estimated in real time through the embodiment of the present disclosure as described above and the video streaming Operation is possible. For example, HTTP (Hyper Text Transfer Protocol) Adaptive Streaming over HTTP (DASH) adjusts the bit rate of video suitable for the link state between the video server and the terminal, Is an application-level technology that allows the user to view the highest-quality video that is not the highest quality. The DASH is combined with the battery consumption rate estimation technique of the present disclosure to compare the playback time, that is, the battery consumption amount with the current battery consumption speed, according to the image quality of the video to be played back by the user, The quality of the video can be provided. As a specific example, if the user's battery consumption rate is too high to allow the user to achieve a sustained playback time for video of the desired image quality, the user may request a lower quality video and lower the battery consumption rate. That is, a video streaming service that considers both the battery duration and the video quality can be realized by requesting the video of the highest image quality satisfying the target continuous playback time.
In addition, when the battery consumption rate estimation technique according to the embodiment of the present disclosure is used, the smart device application developer estimates the current battery consumption rate of the user to the application developer and provides the result through the API, It is possible to adaptively control the operation of the smart device by recognizing the consumption speed.
In the embodiments of the present disclosure, an apparatus and method for estimating a battery consumption speed considering an aging state even if the aging state of the battery is not accurately known is proposed. Accordingly, since the estimation method that does not consider the existing battery aging state does not consider the capacity decrease due to aging of the battery, the estimated sustainable time may be different from the actual sustainable time of the battery. In particular, in the embodiment of the present disclosure, it is possible to constantly update the aging state of the battery by estimating the battery consumption speed by reflecting the aging state without special training operation at run time. One of the existing technologies, the technology that deduces the battery consumption rate every 1% decrease of the SoC, provides the battery consumption rate with the long update period. Therefore, if the terminal frequently changes various operations, . On the other hand, according to another embodiment of the present disclosure, since the battery consumption rate is provided in a very short update period, even if the operation of the terminal changes frequently, the battery consumption rate can be accurately informed in real time.
12 is a graph illustrating performance of each of six batteries in a smart device according to an embodiment of the present disclosure. As described with reference to FIGS. 8A and 8B, performance evaluation was performed by attaching three new batteries and three aged batteries to the same apparatus. Assuming that aging progressed in the order of ol1 <old2 <old3 . In the legend, the SoC item is the average value of the battery consumption rate using the time consumed by 1% of the battery. That is, it represents the actual battery consumption rate as a result of dividing the decrease amount of the SoC value by the measurement time during the measurement. The BattTracker item is an index that evaluates the average consumption rate of the battery using the proposed algorithm. The algorithm shows the runtime consumption of the battery, which is the BattTracker result of averaging the measurement time of the battery consumption rate. Referring to FIG. 12, it can be seen that the actual battery consumption rate varies depending on the degree of aging of the battery and the resolution (360p and 720p) of the moving image. It can be seen that the SoC item and the BattTracker item are measured without significant errors. The actual measurement was performed without any special training operation, and it can be seen that the battery consumption rate can be derived with a small error by applying the aging state at runtime.
FIG. 13 is an example of a result of measuring battery consumption speed in real time while operating various applications for a smart device equipped with an aged battery according to an embodiment of the present disclosure.
Referring to FIG. 13, the Drain rate by SoC w / o time sync. Is the result of calculating the consumption rate of the battery by using the time while the battery is consumed at 1%. However, since this result is derived after 1% of the battery is actually consumed and then consumed at the previously estimated consumption rate until 1% is consumed thereafter, if the operation is changed at the terminal, One can not but show very inaccurate results. Drain rate by SoC w / time sync. Drain rate by SoC w / o time sync. This is the result of synchronizing the value of the item to the actual battery consumption time. That is, it is an index showing the battery consumption rate during 1% of the battery consumption in real time. Moving average of drain rate is a result obtained by setting a moving average weight to a value obtained by taking a moving average at a real time battery consumption speed derived from the algorithm proposed in the embodiment of the present disclosure. The average drain rate by effective resistance is the average of the real-time battery consumption rate derived from the present disclosure in terms of the time the battery is consumed by 1%. Drain rate by SoC w / time sync. It can be judged that the embodiment of the present disclosure can accurately inform the battery consumption speed regardless of the kind of the terminal and the type of the battery or even when the terminal is performing various operations. Also, the Drain rate by SoC w / o time sync, which uses the time it takes 1% The consumption speed of the battery can be determined with a very short update period by using the algorithm proposed in the present invention even when the operation of the terminal is changed frequently.
While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but is capable of various modifications within the scope of the invention. Therefore, the scope of the present invention should not be limited by the illustrated embodiments, but should be determined by the scope of the appended claims and equivalents thereof.
Claims (16)
The method comprising the steps of: databaseizing characteristic information of a battery that changes based on at least one of a temperature and an aging characteristic of a battery that provides power to the mobile communication terminal;
Estimating consumption power and battery consumption rate of the mobile communication terminal based on the battery characteristic information, and displaying the estimated related information.
And a change amount of a no-load voltage depending on a remaining amount of the battery and a variation amount of the maximum usable capacity of the battery according to the temperature.
Wherein the step of estimating the battery consumption rate comprises:
Estimating a discharge current of the mobile communication terminal using a change amount of the internal resistance of the battery according to the temperature and a voltage drop due to the internal resistance; And calculating the battery consumption rate based on the consumed power calculated using the reduced load voltage by the voltage drop caused by the voltage drop.
Wherein the magnitude of the internal resistance increases as the temperature decreases and the current available capacity decreases.
The process of estimating the consumed power includes:
Estimating the first no-load voltage by approximating the load voltage to the first no-load voltage by minimizing the current consumption power of the mobile communication terminal or using the variation amount of the no-load voltage according to the remaining amount of the battery, Updating the current no-load voltage in real time;
Calculating an effective resistance of the battery using the no-load voltage updated in real time;
And estimating a consumption rate of the battery based on the effective resistance in real time.
Wherein the current value is calculated by using a value obtained by multiplying a value obtained by subtracting the load voltage from the current no-load voltage by a sample time while the battery consumes a predetermined amount of electric charge.
A condition for displaying the battery consumption status related information on the display screen of the mobile communication terminal, at least one of the location information on the battery consumption status related information and the update period setting information for the battery consumption status information Receiving a user input for the user;
And displaying the battery consumption status related information corresponding to the user input.
Further comprising the step of transmitting the estimated related information to a service provider for a function or application of the mobile communication terminal that has caused the power consumption of the mobile communication terminal.
A training module for converting characteristic information of a battery, which changes based on at least one of a temperature and an aging characteristic of a battery that provides power to the mobile communication terminal,
And a controller for estimating consumption power and battery consumption rate of the mobile communication terminal based on the battery characteristic information and controlling the display of the estimated related information on a display screen.
And at least one of a change amount of the internal resistance of the battery according to the temperature, a change amount of the maximum usable capacity of the battery according to the temperature, and a change amount of the no-load voltage according to the remaining amount of the battery.
Estimating a discharge current of the mobile communication terminal by using a change amount of the internal resistance of the battery according to the temperature and a voltage drop due to the internal resistance and comparing the discharge current and the voltage due to the internal resistance And calculates the battery consumption rate based on the consumed power calculated using the reduced load voltage.
Wherein the size of the internal resistance increases as the temperature decreases, and the current usable capacity decreases.
Wherein the estimating unit comprises:
Estimating the first no-load voltage by approximating the load voltage to the first no-load voltage by minimizing the power consumption of the mobile communication terminal or using a variation amount of the no-load voltage according to the remaining amount of the battery, A voltage estimating unit for updating the current no-load voltage in real time,
A parameter calculation unit for calculating an effective resistance of the battery using the real time updated no-load voltage, and
And a speed estimator for estimating a consumed speed of the battery based on the effective resistance in real time.
Wherein the calculated value is calculated by using a cumulative value obtained by multiplying a value obtained by subtracting a load voltage from a no-load voltage with a sample time while the battery consumes a predetermined amount of power, and the drag of the battery.
A condition for displaying the battery consumption status related information on the display screen of the mobile communication terminal, at least one of the location information on the battery consumption status related information and the update period setting information for the battery consumption status information And controls the display unit to display information related to the battery consumption state corresponding to the user input.
And controls the transmitting / receiving unit to transmit the estimated related information to a service provider of the function or application of the mobile communication terminal that caused the power consumption of the mobile communication terminal.
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US14/858,963 US9693308B2 (en) | 2014-09-18 | 2015-09-18 | Method and mobile communication terminal for estimating battery consumption state |
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KR20140124521 | 2014-09-18 |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20190056743A (en) * | 2017-11-17 | 2019-05-27 | 주식회사 엘지화학 | Apparatus and Method for Estimating Resistance of Secondary Battery |
US11493826B2 (en) * | 2019-12-11 | 2022-11-08 | Gopro, Inc. | Method and apparatus for sharing power between internal and external power sources |
US11614495B2 (en) | 2019-03-18 | 2023-03-28 | Lg Energy Solution, Ltd. | Battery state estimating apparatus |
-
2015
- 2015-07-30 KR KR1020150108341A patent/KR20160033588A/en unknown
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20190056743A (en) * | 2017-11-17 | 2019-05-27 | 주식회사 엘지화학 | Apparatus and Method for Estimating Resistance of Secondary Battery |
US11105861B2 (en) | 2017-11-17 | 2021-08-31 | Lg Chem, Ltd. | Device and method for estimating battery resistance |
US11614495B2 (en) | 2019-03-18 | 2023-03-28 | Lg Energy Solution, Ltd. | Battery state estimating apparatus |
US11493826B2 (en) * | 2019-12-11 | 2022-11-08 | Gopro, Inc. | Method and apparatus for sharing power between internal and external power sources |
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