JP2008076295A - Battery life prediction system, battery life prediction method, communication terminal device, battery life prediction device, data transmission program, battery life predicting program, and computer-readable recording medium stored with program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a battery life prediction system for predicting a life of a battery being operated in a remote site. <P>SOLUTION: The battery life prediction system includes a battery pack 10 connected to equipment 15, a communication terminal device 20, and a control center 30 provided in a position distant from the battery pack 10 and the communication terminal device 20. The communication terminal device 20 detects an internal resistance of the battery pack 10, to be transmitted to a server 32 provided in the control center 30 via a communication device 23. The server 32 predicts the life of the battery pack 10, based on an internal resistance value of the battery pack 10 transmitted from the communication terminal device 20. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a battery life prediction system, a battery life prediction method, a communication terminal device, a battery life prediction device, a data transmission program, a battery life prediction program, and a computer-readable recording medium storing each of the above programs. A battery life prediction system, a battery life prediction method, a communication terminal device, a battery life prediction device, a data transmission program, a battery life prediction program, and the above programs that can predict the battery life of battery-operated equipment operating on the ground The present invention relates to a stored computer-readable recording medium.

  Conventional devices related to battery life prediction are disclosed in, for example, Japanese Patent Application Laid-Open No. 2005-93240 (Patent Document 1), Japanese Patent Application Laid-Open No. 2005-37233 (Patent Document 2), and the like.

According to Patent Document 1, the deterioration of the secondary battery is determined by estimating the temporal change of the internal resistance value according to the state data from the experimentally obtained data in advance without actually measuring. . According to Patent Document 2, when the dischargeable capacity of a storage battery used for backup of a power supply device is obtained using the measurement result of the internal resistance component of the storage battery, the standard capacity aging characteristics of the storage battery and the storage battery standard The internal resistance component aging characteristics are obtained in advance, the resistance component change rate predicted value indicating the rate of change of the internal resistance component aging characteristics is obtained, and the internal resistance component is actually measured at a predetermined interval. The dischargeable capacity is estimated by comparing with the predicted change rate.
JP-A-2005-93240 (paragraph number 0011, etc.) JP 2005-37233 A (summary)

  Conventional battery life prediction has been performed as described above. In any of the patent documents, the life of a battery at a position where the battery is placed is predicted, and the life of a battery operating in a remote place is not considered. Further, according to Patent Document 1, since the value of the internal resistance related to the life of the battery is predicted without actually measuring, there is a problem that the accurate life cannot be known. Furthermore, according to Patent Document 2, it is the dischargeable capacity of the battery that is considered as the lifetime, and the operating voltage as the battery is not considered.

  In the case where the above prediction is not made, the battery life is actually changed based on the battery life described in the specifications of the equipment manufacturer. This guideline is often set during a period when there is no problem even when using it relatively rigorously. Even if the usage is friendly to the battery life in terms of temperature and frequency of use, it should be replaced after a uniform number of years. However, there was a problem that the battery was not used up to its full life.

  The present invention has been made paying attention to the above-mentioned problems, and can predict the life of a battery operating in a remote place, a battery life prediction system, a battery life prediction method, a communication terminal device, and a battery life prediction. It is an object of the present invention to provide a device, a data transmission program, a battery life prediction program, and a computer-readable recording medium storing the above programs.

  Another object of the present invention is to store a battery life prediction system, a battery life prediction method, a communication terminal device, a battery life prediction device, a data transmission program, a battery life prediction program, and the above programs that can use the battery without waste. And a computer readable recording medium.

  According to the present invention, a battery life prediction system for predicting battery life includes an internal resistance detection means for detecting the internal resistance of the battery, and a life prediction provided outside the internal resistance value of the battery detected by the internal resistance detection means. The life prediction means predicts the life of the battery based on the internal resistance transmitted from the communication terminal apparatus.

  After detecting the internal resistance of the battery, it is transmitted to the life prediction means provided at a position away from the position where the battery exists, and the battery life is predicted based on the transmitted internal resistance. The life of a battery operating remotely can be predicted at a remote location.

  Preferably, the life prediction unit predicts a period during which the battery can maintain a predetermined voltage as the battery life based on the internal resistance detected by the internal resistance detection unit.

  More preferably, the predetermined voltage includes a voltage at which a device that operates during a power failure can stably operate.

  The internal resistance detection means may include a constant current load circuit connected to the battery, and may detect the internal resistance of the battery by applying a load to the constant current load circuit.

  In one embodiment of the present invention, the life prediction means includes instruction means for instructing the internal resistance detection means to monitor the internal resistance value at a predetermined interval.

  Preferably, the life prediction means includes storage means for storing a life internal resistance value that is a battery life, and compares the life internal resistance value stored in the storage means with the internal resistance value detected by the internal resistance detection means. And predict the battery life.

  Another aspect of the present invention relates to a battery life prediction system that predicts the life of a backup battery that reports that a power failure has occurred during a power failure. The battery life prediction system includes a first computing means for obtaining a voltage that can be supplied based on a battery capacity of the battery after a power failure notification, and a second computing means for obtaining a minimum voltage value capable of stable operation of a device that operates during a power failure. And a third computing means for obtaining a difference voltage between the supplyable voltage computed by the first computing means and the lowest voltage value capable of stable operation computed by the second computing means, and the differential voltage obtained by the third computing means Is divided by the peak current consumption during operation of the device to obtain the internal resistance value of the battery, and the life prediction means for predicting the battery life based on the internal resistance value obtained by the fourth computation means Including.

  Preferably, the life prediction means further includes a transmission means provided at a position distant from the battery and transmitting the internal resistance value obtained by the fourth calculation means to the life prediction means.

  Still another aspect of the present invention relates to a battery life prediction method for predicting the life of a backup battery that reports that a power failure has occurred at the time of a power failure. The battery life prediction method is based on the battery capacity after notification of power failure, the step of determining the voltage that can be supplied, the step of determining the minimum voltage value that allows stable operation of equipment that operates at the time of power failure, and the battery capacity after notification of power failure The step of obtaining the difference voltage between the supplyable voltage obtained based on the above and the lowest voltage value at which stable operation is possible, and the difference voltage obtained in the above step is divided by the peak current consumption value during operation of the device. The step of determining the internal resistance value of the battery and the step of predicting the battery life based on the internal resistance value of the battery determined in the above step are included.

  Preferably, before the step of predicting the battery life based on the obtained internal resistance value, the step of transmitting the obtained internal resistance value to a server provided outside, the step of predicting the battery life, Done on the server.

  In still another aspect of the present invention, a battery life prediction method for predicting battery life in a remote location is a step of instructing detection of internal resistance of a battery provided in a remote location from a predetermined server, And detecting the internal resistance of the battery in response to the instruction; transmitting the detected internal resistance to the server; predicting the battery life at the server based on the transmitted internal resistance of the battery; including.

  Still another aspect of the present invention relates to a communication terminal apparatus that transmits predetermined data in order to predict the battery life in a remote place. The communication terminal device includes, as predetermined data, an internal resistance detection unit that detects the internal resistance value of the battery and a communication device that transmits the internal resistance value of the battery detected by the internal resistance detection unit to the outside.

  Still another aspect of the present invention relates to a battery life prediction apparatus that predicts the life of a battery provided in a remote place. The battery life prediction apparatus includes a receiving unit that receives the internal resistance value of the battery from a remote location, and a life prediction unit that predicts the battery life based on the internal resistance value received by the receiving unit.

  Still another aspect of the present invention relates to a data transmission program. The data transmission program operates a computer with a communication device as the communication terminal device.

  Still another aspect of the present invention relates to a battery life prediction program. The battery life prediction program operates a computer with a communication device as the battery life prediction device.

  Note that the data transmission program and the battery life prediction program may be stored in a computer-readable recording medium.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing the configuration of an embodiment of a battery life prediction system according to this embodiment. In this embodiment, the battery life prediction system manages the battery replacement time of the battery using equipment provided in the remote place at a predetermined management center.

  Referring to FIG. 1, the battery life prediction system includes a communication terminal device 20 connected to a battery pack 10 provided at a remote place, and a management center 30. Communication terminal device 20 and management center 30 include communication devices 23 and 31 for communicating with each other. The internal resistance of the battery pack 10 provided in the battery using device 15 is measured by the communication terminal device 20 and transmitted to the server 32 of the management center 30. Here, the battery pack 10 may be, for example, a nickel hydride battery, which is a secondary battery for backup of a power failure monitoring device or a leakage monitoring device. Note that the battery-operated device 15 such as a power failure monitoring device or a leakage monitoring device always operates with an external power source, and operates with a battery only when the external power source fails. The management center 30 functions as a battery life prediction device.

  The communication terminal device 20 includes a battery connector 21 connected to the battery pack 10, a battery voltage monitor 22 connected to the battery connector 21, and a management center 30 provided outside with the values monitored by the battery voltage monitor 22. And a constant current load circuit 25 that is provided between the battery connector 21 and the battery voltage monitor 22 and flows a constant current. The battery voltage monitor 22 includes a CPU 26. When the life of the battery pack 10 is detected, a constant current is passed through the constant current load circuit 25 in response to a predetermined signal output from the CPU 26 to detect internal resistance. The internal resistance of the battery pack 10 is detected and transmitted to the management center 30.

  The communication device 23 is preferably a FOMA (registered trademark) communication device. Further, the CPU 26 and the constant current load circuit 25 function as an internal resistance detection unit that detects the internal resistance of the battery pack 10, the communication device 23 functions as a transmission unit, and the communication device 31 functions as a reception unit.

  The server 32 of the management center 30 has a CPU (not shown) that functions as a life prediction unit that predicts the life of the battery pack 10 based on the internal resistance of the battery transmitted from the communication terminal device 20.

  Next, the battery pack 10 whose internal resistance is measured in the communication terminal device 20 will be described. FIG. 2 is a block diagram showing a configuration around the battery pack 10. Referring to FIG. 2, battery pack 10 includes three batteries 11a to 11c connected in series (hereinafter, each battery may be referred to as a “cell”) and overcurrent connected to batteries 11a to 11c. Protective element 12. The battery pack 10 is connected to the substrate 16 of the battery using device 15 through the battery connectors 13a and 13b. Although not shown, the batteries 11a to 11c have an internal resistance, and the expected life of the battery pack 10 is predicted by the server 32 of the management center 30 from the secular change of the internal resistance. Here, the expected life of the battery pack 10 is the expected life under the condition where the ambient temperature is 40 ° C. or less. Further, here, since the life of the battery pack 10 needs to be transmitted to the external management center 30 and predicted by the management center 30, a period during which a device that operates at the time of a power failure can maintain a predetermined voltage that can be stably operated can be maintained. Define as Therefore, the lifetime in this embodiment is different from the dischargeable capacity as described in the above-mentioned patent document.

  Here, as the life of the battery pack 10, since it is necessary to make a power failure notification at the time of a power failure, it is assumed that the battery pack 10 has a voltage holding voltage that can drive the battery using device 15 for a maximum of 10 minutes. Since a power failure does not always occur, it is assumed that 100% is always charged. Here, for example, the minimum value of the battery voltage (input voltage of the board 16) at which the device driven by the battery at the time of a power failure can stably operate is 3.55 V, the average current consumption at the time of the power failure is 0.3 A, and the peak current consumption Is set to 0.5 A, and the internal resistance for determining the life is examined.

  Note that the minimum value of the predetermined voltage at which the device that operates in the event of a power failure can stably operate corresponds to the voltage necessary for the CPU 26 to operate.

  The internal resistance excluding the cell 11 of the battery pack 10 shown in FIG. 2 is 0.08Ω in the overcurrent protection element 12, and the contact resistance of the battery connectors 13a and 13b is 0.035Ω × 2 pieces = 0.07Ω. From these values, the total resistance value is 0.15Ω.

  As usage conditions, the usable temperature range of the product is −10 to 60 ° C., the year-round atmospheric average temperature is 15 ° C., 40% in consideration of the amount of rise from the installed environment + 20 ° C. and the product heat generation + 5 ° C. Find the expected life below ℃.

  From the above, the battery capacity required for power failure notification is 0.3 A × 10 minutes / 60 minutes = 50 mAh.

FIG. 3 is a graph showing an example of the discharge characteristics of the battery, in which the horizontal axis indicates the discharge capacity and the vertical axis indicates the voltage. Referring to FIG. 3, in the range of −10 ° C. to 40 ° C., the battery voltage after using 50 mAh is 1.35 V per cell (including the initial cell internal resistance drop) or more, and the voltage supplied to the product Is
1.35V × 3 cells−0.15Ω × 0.5A = 3.98V (at load 0.5A) or more can be expected.

From this value and the battery voltage of 3.55 V required for stable operation of the above circuit, the total internal resistance of the three cells constituting the battery is
(3.98V−3.55V) ÷ 0.5A = 0.86Ω or less.
When this is converted per cell, it can be seen that 0.86Ω ÷ 3 = 0.29Ω or less is sufficient.

  FIG. 4 is a diagram showing the change characteristics of the discharge capacity ratio and internal resistance per cell when the battery is always charged, for example, at 40 ° C. with trickle charge (1/30 It = about 65 mA), in units of months. is there. Extending from the upper left to the right is a graph showing a change in the discharge capacity ratio, and extending from the lower left to the right is a change in the internal resistance. Referring to FIG. 4, it can be seen that at 40 ° C., the period during which the internal resistance per cell can be kept below 290 mΩ is about 24 months at the longest. Based on this internal resistance value, the battery life is predicted.

  That is, in this embodiment, based on the battery capacity of the battery after the power failure notification, the voltage that can be supplied, the lowest voltage value that can be stably operated of the device that operates at the time of the power failure, and the voltage that can be supplied and the stable operation are possible. Obtain the voltage difference from the minimum voltage value, divide this voltage difference by the peak current consumption during device operation to obtain the internal resistance value of the battery, and predict the battery life based on this internal resistance value. Yes. Therefore, the CPU 26 operates as first to fourth calculation means.

  FIG. 5 is a diagram showing a difference in life between the pulse complementary charging method and the trickle charging (overcharge) method. In the figure, the horizontal axis indicates the lifetime, and the vertical axis indicates the internal resistance of the battery. Referring to FIG. 5, the pulse supplementary charging method has a longer life than the trickle charging method.

  In this embodiment, it is considered that the internal resistance change is smaller than that of the trickle charge (overcharge) because only the self-discharge is supplemented by the pulse complementary charge method, not the trickle charge. Therefore, the battery life can be expected to be 24 months or longer at 40 ° C. or lower.

Next, characteristics of the battery at a high temperature will be described as another measurement example of the internal resistance for determining the lifetime. FIG. 6 is a graph showing an example of the relationship between discharge time (horizontal axis) and voltage at high temperature (60 ° C.). As shown in FIG. 6, at 60 ° C., the voltage per cell is 1.33 V at the time of 50 mAh consumption, which is the battery life required at the time of power failure notification.
1.33V x 3 cells-0.15Ω x 0.5A = 3.92V (at load 0.5A) or more, and the total internal resistance of 3 cells is (3.92-3.55) ÷ 0.5A = 0.74Ω or less, so when converted to 1 cell, 0.74Ω ÷ 3 = 0.25Ω or less.

 The life cannot be predicted correctly because there is no data at a constant internal resistance change characteristic of 60 ° C., but the life expectancy is 2 when the temperature of the usage environment drops by 10 ° C., which is generally called “Arrhenius law”. If the “10 ° C. double rule” is applied, it will be about 1/4 of that at 40 ° C. Therefore, there is a possibility that 24 months ÷ 4 = 6 months.

  Next, the charging efficiency is examined. FIG. 7 is a graph showing an example of the charging efficiency at each temperature of the battery. Referring to FIG. 7, it is about 85% to 105% in almost the entire temperature range of −10 ° C. to 60 ° C., and it can be seen that there is no particular problem in charging efficiency.

  Next, a method for predicting the replacement time of the battery pack 10 by the server 32 under the above conditions will be described. From the above, for example, in order to replace the battery two months before the end of its life, the battery may be replaced when it is detected that the internal resistance of the battery is about 200 mΩ / cell or more.

  FIG. 8 is a diagram showing a change in the voltage value of the battery when the CPU 26 loads a constant current using the constant current load circuit 25 and measures the internal resistance. In response to an instruction from the server 32, the CPU 26 of the battery voltage monitor 22 sends a current to the constant current load circuit 25 at a predetermined time interval for 1 second, for example, as shown in FIG. Thus, if the voltage difference is acquired and the value is divided by a constant current value (here, 0.45 A, for example), the internal resistance of the battery can be estimated.

In the example of FIG. 8, since the voltage difference is 124 mV, 124 mV ÷ 0.45 A = 0.276Ω. As described above, the internal resistance excluding the cells of the battery pack 10 is originally 0.15Ω,
It can be estimated that (0.276Ω−0.15Ω) ÷ 3 = 42 mΩ.

  Next, for example, a case where a load is applied to the constant current load circuit 25 using a battery that has deteriorated after being charged and discharged about 500 times will be described. FIG. 9 is a diagram showing a change in voltage in this case. In FIG. 9, as in FIG. 8, the current was passed for 1 second to obtain the difference. Here, there is a difference of about 320 mV. Therefore, 320 mV ÷ 0.45 A = 0.711Ω. Similarly to the above, it can be estimated that (0.711Ω−0.15Ω) ÷ 3 = 187 mΩ. Therefore, it is considered that the battery is in a state close to two months before the lifetime.

  Next, the management center 30 will be described. Returning to FIG. 1, the server 32 of the management center 30 applies the internal resistance of the battery to the communication terminal device 20 via the communication devices 31 and 23 for a predetermined period, for example, once every 1 to 30 days. The change in the internal resistance of the battery is monitored by giving an instruction to measure. In response to this instruction, the communication terminal device 20 measures the internal resistance value of the battery pack 10 and transmits it to the server 32 using the communication device 23. Therefore, the server 32 functions as an instruction unit. Note that the server 32 has storage means such as a hard disk, and stores therein a lifetime internal resistance value that is the lifetime of the battery 11, and this value is detected by the CPU 26 of the battery voltage monitor 22. The life of the battery 11 may be predicted by comparing the resistance.

  Next, the battery life prediction process will be described. FIG. 10 is a graph similar to FIG. Here, a life represented by an internal resistance capable of outputting a predetermined voltage and an internal resistance value two months ago are shown. The CPU (not shown) of the server 32 shown in FIG. 1 predicts the battery life using the graph shown in FIG.

  That is, the server 32 of the management center 30 determines the battery life by comparing with an internal resistance value (for example, 200 mΩ if 2 months ago) as a reference for life determination, and notifies the user. Here, the internal resistance value of the battery is stored in the server 32, and the graph as shown in FIG. 10 is used to predict the inclination of the change in the internal resistance value, so that the lifetime is estimated. Instead, the communication terminal device 20 may create a change graph of the internal resistance.

  As described above, in this embodiment, since the life of a battery provided in a remote place can be predicted by a management center, the life of a battery operating in a remote place can be predicted without going to the installation site. .

  In addition, since the battery life can be known in real time, the battery can be used without waste without replacing the battery at a predetermined time as in the prior art.

  In the embodiment described above, the battery replacement time is predicted to be two months before the lifetime, but the present invention is not limited to this, and may be predicted to be any time, such as one month before.

  In the above embodiment, an example is described in which a direct current method is used to flow a current through a constant current load circuit in order to detect the internal resistance of the battery. However, the present invention is not limited to this, and a small alternating current is applied to the battery. You may use the alternating current method detected from the voltage change when it supplies with electricity. If the alternating current method is used, an alternating current is applied, and unlike the direct current method, there is an advantage that the state of the battery does not change before and after the measurement (the capacity does not decrease even if the internal resistance is measured).

  In the above embodiment, the present invention is applied to the case of predicting the life of a battery that is used only at the time of a power failure without being always used. Good.

  In this embodiment, a nickel hydride battery, which is a secondary battery for a leakage monitoring device, is given as an example of a battery for monitoring the life. However, the present invention is not limited to this, and can be applied to any battery.

  In the said embodiment, although the example in case a battery pack consists of three cells was demonstrated, not only this but a battery pack may be comprised by arbitrary numbers of cells.

  In the above embodiment, the communication terminal device has been described for measuring the internal resistance of the battery in response to an instruction from a management server provided at a remote location. Prediction may be performed by the communication terminal device, and the value may be transmitted to the management center.

  In the above embodiment, the case where the FOMA (registered trademark) communication apparatus is used as the communication apparatus has been described. However, the present invention is not limited to this, and another communication apparatus may be used. Further, not only a wireless device but also a wired communication device may be used.

  In the above embodiment, the case where the communication terminal device and the server provided in the management center, which constitute the battery life prediction system, are dedicated devices, respectively, is not limited to this. The terminal device and the server are each a general-purpose personal computer with a communication device, and the operation of the communication terminal device and the server is a data transmission program and a battery life prediction program, respectively. May be. In this case, these programs may be provided on a recording medium such as an optical disk or a hard disk, or may be downloaded from a program server on a network (not shown) via a network.

  As mentioned above, although embodiment of this invention was described with reference to drawings, this invention is not limited to the thing of embodiment shown in figure. Various modifications and variations can be made to the illustrated embodiment within the same range or equivalent range as the present invention.

It is a block diagram explaining the mutual relationship with a battery, a communication terminal device, and a management center. It is a block diagram which shows the structure of a battery and a battery using apparatus. It is a graph which shows a discharge characteristic. It is a figure which shows the discharge capacity ratio per cell at the time of charging a battery, and the change characteristic of internal resistance in a month unit. It is a figure which shows the lifetime difference of a pulse supplement charge system and a trickle charge (overcharge) system. It is a graph which shows an example of the relationship between the discharge time and voltage in high temperature. It is a graph which shows an example of the charging efficiency in each temperature of a battery. It is a figure which shows the change of the voltage value of a battery when internal resistance is measured using a constant current load circuit. It is a figure which shows the change of the voltage value of a battery at the time of applying a load to a constant current load circuit using the deteriorated battery. It is a figure which shows the change characteristic of the internal resistance at the time of a lifetime and a lifetime prediction.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Battery pack, 11 Battery (cell), 12 Overcurrent protection element, 13 Connector, 15 Battery use apparatus, 20 Communication terminal device, 21 Battery connector, 22 Battery voltage monitor, 23 Communication apparatus, 25 Constant current load circuit, 26 CPU , 30 management center, 31 communication device, 32 servers.

Claims (17)

A battery life prediction system for predicting battery life,
A communication terminal device comprising: an internal resistance detection means for detecting an internal resistance of the battery; and a communication device for transmitting the internal resistance value of the battery detected by the internal resistance detection means to the outside.
A battery life prediction system including life prediction means for predicting the life of the battery based on the internal resistance of the battery transmitted from the communication terminal device. 2. The battery life prediction system according to claim 1, wherein the life prediction unit predicts, as a life of the battery, a period during which the battery can maintain a predetermined voltage based on the internal resistance detected by the internal resistance detection unit. . The battery life prediction system according to claim 2, wherein the predetermined voltage includes a voltage at which a device that operates during a power failure can stably operate. 4. The internal resistance detection unit according to claim 1, wherein the internal resistance detection unit includes a constant current load circuit connected to the battery, and detects the internal resistance of the battery by applying a load to the constant current load circuit. 5. Battery life prediction system. The battery life prediction system according to any one of claims 1 to 4, wherein the life prediction means includes an instruction means for instructing an internal resistance detection means for monitoring the internal resistance value at a predetermined interval. The life prediction means includes storage means for storing a life internal resistance value that is a life of the battery, and includes a life internal resistance value stored in the storage means and an internal resistance value detected by the internal resistance detection means. The battery life prediction system according to claim 1, wherein the life of the battery is predicted by comparison. A battery life prediction system that predicts the life of a backup battery that reports that a power failure has occurred during a power failure,
First computing means for obtaining a supplyable voltage based on the battery capacity of the battery after the power failure notification;
A second calculating means for obtaining a minimum voltage value capable of stable operation of the device operating at the time of a power failure;
Third calculating means for obtaining a difference voltage between the supplyable voltage calculated by the first calculating means and the lowest voltage value that can be stably operated calculated by the second calculating means;
Fourth arithmetic means for obtaining the internal resistance value of the battery by dividing the differential voltage obtained by the third arithmetic means by a peak current consumption value during operation of the device;
A battery life prediction system comprising: life prediction means for predicting battery life based on the internal resistance value obtained by the fourth calculation means. The life prediction means is provided at a position away from the battery,
The battery life prediction system according to claim 7, further comprising a transmission means for transmitting the internal resistance value obtained by the fourth calculation means to the life prediction means. A battery life prediction method for predicting the life of a backup battery, reporting that a power failure has occurred during a power failure,
Based on the battery capacity after the power failure notification, obtaining a voltage that can be supplied,
A step of obtaining a minimum voltage value capable of stable operation of a device that operates in the event of a power failure;
Obtaining a voltage difference between the supplyable voltage obtained based on the battery capacity after the power failure notification and the lowest voltage value capable of stable operation;
Dividing the differential voltage obtained in the step by the peak current consumption value during operation of the device to obtain the internal resistance value of the battery;
Predicting the life of the battery based on the internal resistance value of the battery determined in the above step. Before the step of predicting the battery life based on the determined internal resistance value, including the step of transmitting the determined internal resistance value to a server provided outside,
The battery life prediction method according to claim 9, wherein the step of predicting the battery life is performed by a server. A battery life prediction method for predicting battery life in a remote place,
Instructing detection of internal resistance of a battery provided in a remote place from a server provided in a predetermined management center;
Detecting the internal resistance of the battery in response to an instruction at a remote location;
Sending the detected internal resistance to the server;
Predicting the battery life at the server based on the transmitted internal resistance of the battery. A communication terminal device that transmits predetermined data in order to predict battery life in a remote place,
An internal resistance detecting means for detecting an internal resistance value of the battery as the predetermined data;
A communication terminal device comprising: a communication device that transmits the internal resistance value of the battery detected by the internal resistance detection means to the outside. A battery life prediction device for predicting the life of a battery provided in a remote place,
Receiving means for receiving the internal resistance value of the battery from a remote location;
A battery life prediction device including life prediction means for predicting a life of the battery based on the internal resistance value received by the reception means. A data transmission program for operating a computer with a communication device as the communication terminal device according to claim 12. A computer-readable recording medium storing the data transmission program according to claim 14. A battery life prediction program for operating a computer with a communication device as the battery life prediction device according to claim 13. A computer-readable recording medium storing the battery life prediction program according to claim 16.

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