A system, method and electronic device for estimating remaining power of a non-rechargeable battery

Abstract

The present invention relates to a system, method and electronic device for estimating the remaining power of a non-rechargeable battery. A system for estimating the remaining power of a non-rechargeable battery includes a control module, a supercapacitor, a sampling resistor and a sampling circuit; the sampling resistor is connected in series with the supercapacitor and then connected to the positive and negative poles of the battery; a system load is connected in parallel with the supercapacitor; the sampling circuit is connected to the control module and is used to collect current data passing through the sampling resistor and send the current data to the control module; the control module is used to obtain the remaining power of the battery based on the current data. The non-rechargeable battery remaining power estimation system provided by the present invention uses a combination of a supercapacitor and a sampling resistor to protect the battery, ensure normal power supply to the system, and accurately detect the remaining power of the battery.

Description

Technical Field

[0001] The present invention relates to electronic equipment, and in particular to a system and method for estimating the remaining power of a non-rechargeable battery and the electronic equipment. Background Art

[0002] Currently, research on battery remaining capacity at home and abroad primarily focuses on rechargeable batteries, while the application of non-rechargeable battery remaining capacity is largely unexplored. For example, rechargeable lithium batteries are widely used in mobile phones and can provide users with an accurate battery level display, allowing them to replenish power in a timely manner. However, in the water meter field, due to limitations in the installation location and environment, users are unlikely to recharge the meter's battery. Since the power supply is non-rechargeable batteries, it is difficult to apply the remaining capacity determination methods used for rechargeable batteries to non-rechargeable batteries. Furthermore, the water meter industry is in the transition period from mechanical meters to smart meters, and user perception of water meters is still at a very low level. To save costs, manufacturers rarely consider remaining capacity detection and even less investment in research and development of non-rechargeable batteries. Since the new national standard GB / T 778 for water meters introduced a 180-day battery warning, notifying users 180 days in advance of low battery power, many manufacturers have gradually begun researching the remaining capacity of non-rechargeable batteries.

[0003] In the field of water meters, non-rechargeable batteries are basically lithium-ion batteries. Currently, general technologies basically use the method of detecting voltage to determine whether the battery is low on power, and cannot determine the remaining power. It can only qualitatively determine the current battery voltage state. The voltage and power are nonlinear. Lithium-ion batteries have passivation phenomena and battery voltage lag problems. It takes a while for the battery voltage to recover after a large current drops. Direct voltage detection is prone to battery misjudgment.

[0004] Patent document CN201910989739.2 discloses a power supply circuit and a method for estimating the remaining power thereof. The power supply circuit is connected to a load and is used to power the load. The circuit includes: a battery module with a positive electrode and a negative electrode; a capacitor connected in parallel between the battery module and the load and used to power the load, with the positive electrode of the capacitor connected to the positive electrode of the battery module and the load, and the negative electrode of the capacitor connected to the negative electrode of the battery module and the load; a control switch connected in series between the battery module and the positive electrode or negative electrode of the capacitor and used to control the power supply of the battery module; and a power management IC including a control terminal, a collection positive electrode, and a collection negative electrode, the control terminal being connected to the controlled terminal of the control switch; the collection positive electrode and the collection negative electrode being connected between the positive electrode and the negative electrode of the capacitor, respectively, and used to collect the voltage value of the capacitor and estimate the remaining power of the battery module based on the voltage value. However, the above problems have not been solved yet.

[0005] Therefore, the existing technology for calculating the remaining power of lithium-ion batteries still has deficiencies and needs to be improved and enhanced. Summary of the Invention

[0006] In view of the above-mentioned deficiencies in the prior art, an object of the present invention is to provide a system, method and electronic device for estimating the remaining power of a non-rechargeable battery, so as to solve the technical problems mentioned in the background technology.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A non-rechargeable battery remaining capacity estimation system includes a control module, a supercapacitor, a sampling resistor, and a sampling circuit; the sampling resistor is connected in series with the supercapacitor and then connected to the positive and negative electrodes of the battery; a system load is connected in parallel with the supercapacitor;

[0009] The sampling circuit is connected to the control module and is used to collect current data passing through the sampling resistor and send the current data to the control module;

[0010] The control module is used to obtain the remaining battery power based on the current data.

[0011] Preferably, in the non-rechargeable battery remaining capacity estimation system, the sampling resistor is connected to the negative electrode of the battery, and the supercapacitor is connected to the positive electrode of the battery.

[0012] Preferably, in the non-rechargeable battery remaining capacity estimation system, the resistance of the sampling resistor is 10-47Ω.

[0013] Preferably, the non-rechargeable battery remaining capacity estimation system further includes an amplification module connected in series between the sampling circuit and the control module.

[0014] A method for estimating the remaining capacity of a non-rechargeable battery applicable to the non-rechargeable battery remaining capacity estimation system includes the following steps:

[0015] obtaining discharge current data of the battery at a predetermined frequency;

[0016] Integrate the discharge current data and the corresponding discharge time to obtain the total discharge amount of the battery;

[0017] The current remaining battery power is obtained based on the total battery discharge amount and the total battery power.

[0018] Preferably, in the method for estimating the remaining power of a non-rechargeable battery, the step of obtaining the total power of the battery is:

[0019] Obtain the engineering calculation ratio value and the battery annual loss ratio value to obtain the total power ratio value;

[0020] The total battery capacity is obtained according to the ratio of the initial battery capacity to the total capacity.

[0021] Preferably, the method for estimating the remaining power of a non-rechargeable battery further includes an early warning operation, specifically including:

[0022] Obtain the power consumption of a cycle and predict the power consumption of the next cycle based on the power consumption of the adjacent cycles;

[0023] Determine whether to issue an early warning based on the remaining battery power and the power consumption in the next cycle.

[0024] Preferably, in the method for estimating the remaining capacity of a non-rechargeable battery, the predetermined frequency ranges from 1 to 1000 Hz; wherein the specific operation of obtaining the discharge current data of the battery according to the predetermined frequency is as follows:

[0025] When the system is not performing a high-current action, obtaining discharge current data of the battery using a first predetermined frequency;

[0026] When the system performs a high-current operation, the discharge current data of the battery is acquired using a second predetermined frequency.

[0027] Preferably, the method for estimating the remaining power of a non-rechargeable battery further includes an abnormally high current reporting operation:

[0028] When the system performs a high current action and determines that the high current is an abnormal current, an alarm message is issued.

[0029] An electronic device comprises the non-rechargeable battery remaining capacity estimation system.

[0030] Compared with the prior art, the present invention provides a non-rechargeable battery remaining power estimation system, method, and electronic device, which have the following advantages:

[0031] 1) The non-rechargeable battery remaining capacity estimation system provided by the present invention uses a combination of a supercapacitor and a sampling resistor to protect the battery, ensure normal power supply to the system, and accurately detect the remaining capacity of the battery;

[0032] 2) The non-rechargeable battery remaining capacity estimation system provided by the present invention uses a sampling resistor with a resistance value much larger than that of the lithium-ion battery and supercapacitor. The system uses the supercapacitor for high current operation, and the battery preferentially uses low current operation to reduce battery passivation.

[0033] 3) The method for estimating the remaining current of a lithium-ion battery provided by the present invention uses a calculation method based on the integration of current and time to accurately measure the power consumption, thereby accurately determining the remaining power of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1is a simplified diagram of a non-rechargeable battery remaining capacity estimation system according to the present invention;

[0035] Figure 2 is a schematic diagram of another embodiment of a non-rechargeable battery remaining capacity estimation system according to the present invention;

[0036] Figure 3 is a circuit diagram of a specific sampling circuit and a discharge module of the present invention;

[0037] Figure 4 This is a flow chart of a method for estimating the remaining capacity of a non-rechargeable battery according to the present invention;

[0038] Figure 5 This is a detailed flow chart of a method for estimating the remaining capacity of a non-rechargeable battery according to the present invention;

[0039] Figure 6 This is a specific flow chart of different detection frequency states of the present invention;

[0040] Figure 7 This is a flowchart of an embodiment of different detection frequency states of the present invention;

[0041] Figure 8 This is a specific flowchart of the total battery power processing of the present invention;

[0042] Figure 9 This is a flowchart of an embodiment of a specific battery total power processing operation of the present invention;

[0043] Figure 10 This is a flowchart of an embodiment of a specific battery warning operation of the present invention;

[0044] Figure 11 This is a specific battery abnormal current warning flow chart of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] Those skilled in the art will understand that the foregoing general description and the following detailed description are exemplary and illustrative of specific embodiments of the present invention and are not intended to limit the present invention.

[0047] As used herein, the terms "comprises," "comprising," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps may include not only those steps but may also include other steps not expressly listed or inherent to such process or method. Similarly, a reference to one or more devices or subsystems, elements or structures or components preceded by "comprising ... a" does not, without further limitations, preclude the presence of other devices or other subsystems or other elements or other structures or other components or other devices or other subsystems or other elements or other structures or other components. Throughout this specification, appearances of the phrases "in one embodiment," "in another embodiment," and similar language may, but do not necessarily, all refer to the same embodiment.

[0048] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0049] See also Figure 1-3 The present invention provides a non-rechargeable battery remaining capacity estimation system, comprising a control module 1, a supercapacitor C1, a sampling resistor R1, and a sampling circuit 2; the sampling resistor R1 is connected in series with the supercapacitor C1 and then connected to the positive and negative electrodes of the battery; a system load 3 is connected in parallel with the supercapacitor C1;

[0050] The sampling circuit 2 is connected to the control module 1 and is used to collect current data passing through the sampling resistor R1 and send the current data to the control module 1;

[0051] The control module 1 is used to obtain the remaining battery power according to the current data.

[0052] Specifically, in the non-rechargeable battery remaining power estimation system provided by the present invention, the control module 1 is preferably an MCU (Micro Controller Unit), preferably using the original MCU in the electronic device, or a separate control module 1 can be configured to store corresponding power estimation software to achieve lithium-ion battery estimation; the sampling circuit 2 uses a sampling circuit 2 commonly used in the art, as long as it can obtain the current value passing through the sampling resistor R1; preferably, the control module 1 includes impedance matching, ADC sampling, and floating-point operations to obtain the accumulated power consumption, thereby obtaining the remaining power. It should be noted that, in general, the power estimation operations commonly used in the art can be used without limitation, and of course the remaining current estimation method provided by the present invention can also be used. The non-rechargeable battery remaining power estimation system provided by the present invention is preferably applicable to smart IoT water meters.

[0053] The operating principle of the remaining power estimation system provided by the present invention is as follows: the microampere current at the lithium-ion battery end is detected by a supercapacitor C1 and a sampling resistor R1. The two work together to form the core of the remaining power detection. The resistor can not only sample the current and convert it into voltage, but also protect the lithium-ion battery and reduce the passivation phenomenon of the lithium-ion battery.

[0054] As a preferred solution, this embodiment also includes an amplification module, which is connected in series between the sampling circuit 2 and the control module 1. The sampling resistor R1 is connected to the negative pole of the battery, and the supercapacitor C1 is connected to the positive pole of the battery. Specifically, the amplification resistor of the amplification module needs to adopt a mega-level resistor to avoid excessive power consumption, because the static current of the IoT water meter cannot be greater than 35uA. The amplification module requires a bias voltage lower than 20uV and an operating current of less than 1uA to ensure low power consumption of the water meter. In this embodiment, the placement position of the sampling resistor R1 is fixed. In the prior art, the sampling resistor R1 is placed at the positive pole of the battery. The current signal flowing through the resistor is converted into a voltage signal, and the voltage signal is amplified by the amplification module. In fact, the impedance of the load is changed according to the change of the current size, resulting in a large change in the equivalent resistance of the amplification resistor to the ground, and then the gain also changes, resulting in inaccurate sampled current value; however, when placed at the negative pole, the load impedance has little effect on the equivalent resistance of the amplification resistor, and the accuracy of the measurement can be achieved.

[0055] As a preferred solution, in this embodiment, the resistance of the sampling resistor R1 is 10-47Ω, and more preferably 15Ω or 20Ω or 25Ω or 30Ω. Specifically, the selection of the sampling resistor R1 is very critical. The resistance of the sampling resistor R1 is required to be much larger than the internal resistance of the lithium-ion battery and much larger than the internal resistance of the supercapacitor C1. It is generally more than 10 ohms. In this way, under the condition of large current, the current will be drawn from the supercapacitor C1 end first. This can effectively avoid overflow after amplification caused by drawing power from the battery end. The packaging of the sampling resistor R1 requires at least 1206 packaging and a temperature coefficient of 50PPM. This is different from other rechargeable battery designs. The sampling resistor R1 of the rechargeable lithium battery in the prior art is very small. Since the water meter design adopts disposable batteries, a low power consumption mode must be adopted. The main control MCU basically adopts a second wake-up mode, that is, the main control is in a dormant state most of the time, and wakes up once every second or a few seconds. The wake-up requires collecting the battery current, and the ADC (analog to digital converter, analog-to-digital converter) channel (it is a built-in module of MCU and will not be described in detail). Generally, several mA are required to open the ADC channel. If the resistance is too small, a large current may be drawn from the battery end, resulting in the collected current being an instantaneous current, which is much larger than the current in the static state. It is impossible to test the static current of tens of uA of the water meter. Therefore, the resistance of the sampling resistor R1 should not be too small.

[0056] Accordingly, see Figure 4 -picture Figure 5 The present invention also provides a method for estimating the remaining capacity of a non-rechargeable battery applicable to the non-rechargeable battery remaining capacity estimation system, comprising the steps of:

[0057] S1. Obtaining battery discharge current data at a predetermined frequency;

[0058] Specifically, in this embodiment, the sampling circuit 2 obtains the discharge current data passing through the sampling resistor R1 and sends it to the control module 1. In a further embodiment, the discharge current data needs to be amplified by the discharge module before being sent to the control module 1.

[0059] See also Figure 6-Figure 7 In a further embodiment, the predetermined frequency range is 1-1000 Hz. The specific operation of obtaining the battery discharge current data according to the predetermined frequency is as follows:

[0060] S11. When the system is not performing a high-current operation, the discharge current data of the battery is obtained using a first predetermined frequency. Preferably, the first predetermined frequency is 1 Hz. When the electronic device is in normal standby mode, the discharge current of the lithium-ion battery changes slightly or slowly. At this time, the control module 1 collects the discharge current once per second. For example, the static current only needs to be collected once per second.

[0061] S12. When the system performs a high-current operation, a second predetermined frequency is used to obtain the battery's discharge current data. Preferably, the second predetermined frequency is 1000 Hz. When the electronic device needs to perform data collection or other system operations, the discharge current of the lithium-ion battery changes rapidly or increases, such as when a water meter valve operates or wireless data is reported. At this time, the acquisition frequency is increased from 1 Hz to 1 kHz to improve the accuracy of the collected current. The following steps are then performed to obtain the used power by integrating the discharge current with time, and to calculate the remaining battery power. Of course, the operation of determining whether the system performs a high-current operation is performed by the control module 1. The specific determination criteria can be the commonly used technical solutions in this field and are not limited. Specifically, it can be determined that the system is performing a high-current operation when running some built-in software.

[0062] S2. Integrate the discharge current data and the corresponding discharge time to obtain the total discharge amount of the battery;

[0063] S3. Obtain the current remaining battery capacity based on the total battery discharge amount and the total battery capacity.

[0064] Specifically, the control module 1 mainly completes impedance matching, ADC sampling, floating-point operations, remaining power calculation, 180-day battery warning, algorithm control, and abnormal current warning. The impedance matching is mainly because the amplifying resistor in the amplifying module is too large, with a resistance value in the megohm level, which affects the ADC channel sampling. The ADC channel sampling has a holding capacitor of tens of PF. The amplifying resistor affects the impedance of the entire line bus, resulting in insufficient charging of the holding capacitor, affecting the sampling accuracy. The floating-point operation mainly converts the collected voltage into current, is responsible for the integration of current and time, obtains the used power, and thus obtains the remaining power.

[0065] As a preferred option, see Figure 8-Figure 9 In this embodiment, the steps for obtaining the total battery power are as follows:

[0066] S31. Obtain the engineering calculation ratio and the battery annual loss ratio to obtain the total power ratio. Preferably, the engineering calculation ratio is 70-80%, more preferably 75%; the battery annual loss ratio is 1-3%, more preferably 2%. First, due to the limitations of the lithium-ion battery manufacturing process in the province, most battery manufacturers obtain the capacity by testing under constant resistance discharge. In reality, the load resistance of the battery cannot be constant during application. Therefore, when fully charged, the engineering calculation needs to be multiplied by 75% to obtain the actual total capacity of the battery. The battery has an annual self-discharge loss of 2%. Therefore, the remaining power needs to be obtained by subtracting 2% of the annual loss from the actual power of the battery and then subtracting the accumulated power consumption from the current collection.

[0067] S32. Obtain the total battery power according to the ratio of the initial battery power to the total power.

[0068] As a preferred option, see Figure 10 In this embodiment, the early warning operation is also included, specifically including:

[0069] Obtain the periodic electricity consumption and predict the next periodic electricity consumption based on the adjacent periodic electricity consumption; preferably, the time of one said cycle is 90-180 days, and more preferably 180 days; the timing of performing periodic calculations can be at the end of each periodic time, or it can be performed once a day, that is, to implement sliding calculations to ensure the accuracy of data calculations.

[0070] According to the remaining battery power and the power consumption of the next cycle, it is determined whether to issue an early warning. Specifically, when the remaining battery power is insufficient to support the power consumption of the next cycle, an early warning message is issued; otherwise, no message is sent.

[0071] Specifically, a sampling resistor R1 placed at the negative terminal of the battery collects the battery's discharge current. A supercapacitor C1 is used to discharge the battery through a high current. The collected battery discharge current is converted to a voltage, which is then amplified by an amplifier circuit. The voltage is then matched to the impedance by the OPA function within the main MCU. ADC channel sampling is performed. The ADC channel sampling frequency is adaptively adjusted based on the speed and magnitude of the current change. The algorithm controls the sampling frequency. The voltage signal collected by the ADC channel is converted into a digital signal. Then, through floating-point operations, the integral of the current and time is calculated to obtain the used power, thereby inferring the remaining power. Based on the battery's power consumption over adjacent cycles, the threshold for the battery 180 warning is estimated. Abnormal current warnings can also be issued based on the collected current. Because battery characteristics change over time during discharge, and the overall current increases with device aging and increased humidity, two adjacent cycles are used to predict the battery's power level for the next cycle. Linear fitting is used for convenience and speed, which more closely approximates the changes in the overall device and battery over time.

[0072] As a preferred option, see Figure 11 In this embodiment, the abnormally high current reporting operation is also included:

[0073] When the system performs a high-current operation and determines that the high current is abnormal, an alarm is issued. Specifically, abnormal currents include those exceeding the static current and the wireless communication or valve control current exceeding the threshold. These abnormal currents are then reported to the master station. Preferably, the abnormal current is when the detected high current exceeds a current threshold, which is set based on site conditions and is not limited.

[0074] The practicality of the technical solution of the present invention is verified through the actual application of the Internet of Things NB-IoT water meter, wherein the sampling and current-limiting resistors use 10R, the amplification factor is 100 times, the supercapacitor C1 uses a 30F farad capacitor, and the wireless communication method uses NB-IoT communication. The accuracy of the collected current, the correctness of the consumed power, and the realization of the 180-day battery warning function are verified.

[0075] The present invention also provides an electronic device, comprising the non-rechargeable battery remaining power estimation system, and the electronic device is preferably an Internet of Things water meter.

[0076] The following experiments are compared according to the above examples.

[0077] Experiment 1: Quiescent Current Test Comparison

[0078] The experiment used three groups of IoT water meters to verify the accuracy of the collected current. They were Sample A, Sample B, and Sample C. The static current of the three groups of samples was collected after 10 hours of inactivity. The static current was output through a low-power serial port and compared with that of a six-and-a-half-digit current measuring device. The six-and-a-half-digit current measuring device is very accurate and can measure currents from 1uA to 1A. The test data is as follows:

[0079] Table 1 Quiescent current collection comparison

[0080]

[0081] It can be seen from Table 1 that the static current collected by the technical solution of the present invention is close to and basically equal to six and a half digits, which verifies the accuracy of the current sampling in the present invention.

[0082] Experiment 2:

[0083] To compare the accuracy of collected power, a professional power consumption tester was used with Keysight 14585A Control and Analysis Software to test the NB-IoT communication power consumption. The reported power was output via a low-power serial port. The IoT water meter was placed in a shielded room, and the base station was introduced into the shielded room. The reported power was tested at -137dBm RSRP to verify the accuracy of the power calculation in the technical solution.

[0084] Table 2 Comparison of power consumption for one NB-IoT communication

[0085]

[0086] As can be seen from Table 2, the power calculation results of the technical solution of the present invention are basically consistent with those of the professional power consumption tester, which verifies the accuracy of the solution in power calculation.

[0087] Experiment 3:

[0088] To verify the battery's 180-day warning, power consumption was tested every 180 days. The IoT water meter communicated with NB-IoT once a day in a consistent network environment, conducted in a shielded room, and required the RSRP to be -137dBm. A smaller capacity battery was selected to speed up the experiment. Huizhou Yiwei Lithium Energy's 18500 battery was used, with a nominal capacity of 4000mA.h and an actual engineering capacity of 3000mA.h. The test data is as follows:

[0089] Table 3 Battery capacity for 180 days (mA.h)

[0090]

[0091] The data in Table 3 are based on power usage over a 180-day period. All three samples can provide an early warning of battery capacity 180 days in advance, meeting the requirements of the national standard GB / T 778.

[0092] It is understandable that those skilled in the art can make equivalent substitutions or changes based on the technical solution and inventive concept of the present invention, and all these changes or substitutions should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A non-rechargeable battery remaining power estimation system, characterized in that: The system comprises a control module, a supercapacitor, a sampling resistor, a sampling circuit, and an amplification module connected in series between the sampling circuit and the control module; the sampling resistor is connected to the negative electrode of the battery, the supercapacitor is connected to the positive electrode of the battery, the resistance of the sampling resistor is much larger than the internal resistance of the battery and the internal resistance of the supercapacitor; the system load is connected in parallel with the supercapacitor; The sampling circuit is connected to the control module and is used to collect current data passing through the sampling resistor and send the current data to the control module. When the system is not performing a high-current action, the control module uses a first predetermined frequency to obtain the current data, and when the system is performing a high-current action, the control module uses a second predetermined frequency to obtain the current data; The control module is configured to obtain the actual total capacity of the battery based on the capacity of the battery when fully charged and the engineering calculated ratio, obtain the accumulated power consumption based on the current data, and obtain the remaining power of the battery based on the actual total capacity, the battery annual damage ratio, and the accumulated power consumption; The control module is also used to obtain cycle power consumption; use a straight line fitting method to predict the power consumption of the next cycle based on the power consumption of two adjacent cycles; and determine whether to issue an external warning based on the remaining battery power and the power consumption of the next cycle.

2. The non-rechargeable battery remaining capacity estimation system according to claim 1, characterized in that: The resistance of the sampling resistor is 10-47Ω.

3. A method for estimating the remaining capacity of a non-rechargeable battery applicable to the non-rechargeable battery remaining capacity estimation system according to any one of claims 1-2, characterized in that: Including steps: When the system is not performing a high-current action, obtaining discharge current data of the battery using a first predetermined frequency; When the system performs a high-current operation, a second predetermined frequency is used to obtain discharge current data of the battery; wherein the range of the first predetermined frequency and the second predetermined frequency is 1-1000 Hz; Integrate the discharge current data and the corresponding discharge time to obtain the total discharge amount of the battery; Get the current remaining battery power based on the total battery discharge amount and the total battery power; The steps for obtaining the total battery power are: Obtain the engineering calculation ratio value and the battery annual loss ratio value to obtain the total power ratio value; Obtaining the total battery capacity based on the ratio of the initial battery capacity to the total battery capacity; The method further includes an early warning operation, specifically comprising: Get cycle power consumption; The linear fitting method is used to predict the power consumption of the next cycle based on the power consumption of two adjacent cycles; Determine whether to issue an early warning based on the remaining battery power and the power consumption in the next cycle.

4. The method for estimating the remaining capacity of a non-rechargeable battery according to claim 3, wherein: It also includes abnormally high current reporting operations: When the system performs a high current action and determines that the high current is an abnormal current, an alarm message is issued.

5. An electronic device, characterized in that: The invention comprises the non-rechargeable battery remaining power estimation system according to any one of claims 1-2.

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