Monitoring device

Abstract

Provided is a monitoring device capable of more accurately monitoring the degradation state of a secondary battery. The monitoring device is connected to a control device that controls an elevator car and is used for communicating with the outside. The monitoring device includes: an acquisition unit that calculates an average temperature, which is an average value of the measured temperatures during a monitoring period from the last arithmetic processing to the current arithmetic processing, based on the measured temperature of the secondary battery measured by a temperature sensor; an arithmetic unit that derives a current life curve function representing the relationship between the full charge capacity and the operating time of the secondary battery based on the average temperature and calculates the current full charge capacity according to the current life curve function; and a determination unit that issues a warning when the current full charge capacity calculated by the arithmetic unit is smaller than a warning threshold value.

Description

Technical Field

[0001] The present disclosure relates to a monitoring device for an elevator. Background Art

[0002] Patent Document 1 discloses a monitoring device for an elevator. The monitoring device is connected to a secondary battery. The monitoring device can estimate and monitor the capacity retention rate in a fully charged state of the secondary battery according to a life curve function which is a relational expression between the operation time and the capacity retention rate.

[0003] Prior Art Documents

[0004] Patent Documents

[0005] Patent Document 1: International Publication No. 2020 / 188662 Summary of the Invention

[0006] Problems to be Solved by the Invention

[0007] This life curve function varies according to the corresponding temperature. However, in the monitoring device described in Patent Document 1, the life curve function is a function corresponding to one set environmental temperature. Therefore, the accuracy of monitoring the capacity retention rate in a fully charged state is reduced.

[0008] The present disclosure has been completed to solve the above problems. An object of the present disclosure is to provide a monitoring device capable of more accurately monitoring the deterioration state of a secondary battery.

[0009] Means for Solving the Problems

[0010] The monitoring device of the present disclosure is connected to a control device that controls an elevator car and is used for communicating with the outside. The monitoring device includes: an acquisition unit that calculates an average temperature of the measured temperature during a monitoring period from the previous calculation process to the current calculation process based on the measured temperature of the secondary battery measured by a temperature sensor; a calculation unit that derives a current life curve function representing the relationship between the fully charged capacity and the operation time of the secondary battery based on the average temperature and calculates the current fully charged capacity according to the current life curve function; and a determination unit that gives a warning when the current fully charged capacity calculated by the calculation unit is smaller than a warning threshold.

[0011] Advantages of the Invention

[0012] According to the present disclosure, the current life curve function is derived based on the average temperature of the secondary battery measured before the calculation process. Therefore, the deterioration state of the secondary battery can be monitored more accurately. Brief Description of the Drawings

[0013] Figure 1It is a schematic diagram of an elevator device to which the monitoring device in Embodiment 1 is applied.

[0014] Figure 2 It is a block diagram of the monitoring device in Embodiment 1.

[0015] Figure 3 It is a graph for explaining the algorithm executed by the monitoring device in Embodiment 1.

[0016] Figure 4 It is a graph for explaining the algorithm executed by the monitoring device in Embodiment 1.

[0017] Figure 5 It is a graph for explaining the algorithm executed by the monitoring device in Embodiment 1.

[0018] Figure 6 It is a graph showing a plurality of correction points calculated by the monitoring device in Embodiment 1.

[0019] Figure 7 It is a graph showing a plurality of correction points calculated by the monitoring device in Embodiment 1 and a predicted life curve.

[0020] Figure 8 It is a flowchart for explaining the outline of the operation of the monitoring device in Embodiment 1. Detailed Embodiment

[0021] The embodiments for implementing the present disclosure will be described with reference to the accompanying drawings. In addition, in each figure, the same or corresponding parts are denoted by the same reference numerals. The repeated description of this part is appropriately simplified or omitted.

[0022] Embodiment 1

[0023] Figure 1 It is a schematic diagram of an elevator device to which the monitoring device in Embodiment 1 is applied.

[0024] In Figure 1 the elevator device 1, a hoistway 2 penetrates each floor of a building 3. A machine room 4 is provided directly above the hoistway 2. A traction machine 5 is provided in the machine room 4. A main rope 6 is wound around the traction machine 5. A car 7 is suspended inside the hoistway 2 on one side of the main rope 6. A counterweight 8 is suspended inside the hoistway 2 on the other side of the main rope 6.

[0025] A control device 9 is provided in the machine room 4. The control device 9 can perform overall control of the elevator device 1. For example, the car 7 moves up and down according to the rotation of the traction machine 5. The control device 9 controls the rotation of the traction machine 5. That is, the car 7 is controlled by the control device 9.

[0026] The monitoring device 10 is installed in the machine room 4. The monitoring device 10 is electrically connected to the control device 9. The monitoring device 10 can monitor the status of the elevator device 1 according to the information obtained from the control device 9.

[0027] The information center device 11 is installed in a place separate from the building 3. For example, the information center device 11 is installed in a company that maintains the elevator device 1.

[0028] The monitoring device 10 is a device for communicating with the outside via the network 12. For example, the monitoring device 10 can communicate with the information center device 11 via the network 12. In the elevator device 1, diagnostic operation is performed regularly. For example, the monitoring device 10 sends the data obtained through the diagnostic operation to the information center device 11 via the network 12.

[0029] For example, the monitoring device 10 receives power supply from a commercial power supply (not shown). In addition, the monitoring device 10 has a battery 13 as a backup power source. The battery 13 is a secondary battery. In case of an emergency such as a power outage of the commercial power supply, the battery 13 can supply power to the monitoring device 10. In normal times, through trickle charging from the commercial power supply, the battery 13 is basically in a fully charged state.

[0030] In addition, the monitoring device 10 has a temperature sensor 14. The temperature sensor 14 measures the ambient temperature around the monitoring device 10. The ambient temperature around the monitoring device 10 can be regarded as the temperature near the battery 13. The ambient temperature around the monitoring device 10 can be regarded as the temperature of the battery 13. Additionally, the temperature sensor 14 may be installed adjacent to the battery 13.

[0031] Generally, the battery 13 deteriorates over time. In this case, in the battery 13, the capacity of the battery in the fully charged state, i.e., the full charge capacity, decreases over time. When the full charge capacity is lower than a specified replacement threshold, the battery 13 needs to be replaced.

[0032] The monitoring device 10 monitors the full charge capacity based on the measured temperature of the temperature sensor 14 and the operating time elapsed since the battery 13 was installed. For example, the monitoring device 10 detects the situation where the full charge capacity is lower than a warning threshold larger than the replacement threshold. In this case, the monitoring device 10 sends a warning to the information center device 11 to promote the planned replacement of the battery 13. In addition, then, when the monitoring device 10 detects that the full charge capacity is lower than the replacement threshold, it notifies the information center device 11 that the battery 13 should be replaced.

[0033] Next, use Figure 2 To explain the monitoring device 10.

[0034] Figure 2It is a block diagram of the monitoring device in Embodiment 1.

[0035] As Figure 2 shown, the monitoring device 10 includes a battery 13 as a power storage unit, a temperature sensor 14 as a measurement unit, a storage unit 15, a communication unit 16, an input unit 17, and a life monitoring unit 18.

[0036] For example, the storage unit 15 is a storage medium such as RAM, ROM, flash memory, EPROM, or EEPROM. Programs for implementing the various functions of the monitoring device 10 are stored in the storage unit 15. Information required for the operation of the monitoring device 10 is stored in the storage unit 15. Information obtained from the control device 9 is stored in the storage unit 15.

[0037] The communication unit 16 is an interface for communication with the outside. The communication unit 16 can communicate with the control device 9. The communication unit 16 can communicate with the information center device 11 via the network 12.

[0038] The input unit 17 is an analog receiving plug. The input unit 17 can receive signals from the temperature sensor 14. For example, the input unit 17 receives the analog signal from the temperature sensor 14 as information on the measured temperature through analog-digital conversion. The input unit 17 samples the signals from the temperature sensor 14 at a specified period and receives them as information on the measured temperature.

[0039] The period for sampling by the input unit 17 is set arbitrarily. For example, sampling is performed twice a day.

[0040] An arithmetic unit is provided in the monitoring device 10. The arithmetic unit has a processing circuit such as a processor. The processing circuit includes a program counter, command register, etc. for controlling the operation. The processing circuit includes general registers, adders, etc. for actually performing the operation. The processing circuit of the arithmetic unit realizes the various functions of the monitoring device 10 by executing the programs stored in the storage unit 15, etc.

[0041] The life monitoring unit 18 is a part of the functions of the arithmetic unit. The life monitoring unit 18 includes an acquisition unit 20, an arithmetic unit 21, a determination unit 22, and a prediction unit 23. The life monitoring unit 18 realizes the algorithm for correcting the life of the battery 13 through the operation of each unit. In the algorithm for life correction, the monitoring period is set as the length of one cycle for arithmetic processing. That is, after the monitoring period has elapsed since the previous arithmetic processing, the current arithmetic processing is performed by the life monitoring unit 18. The monitoring period can be set to any period. For example, the monitoring period is one week. It is preferably shorter than one month.

[0042] The acquisition unit 20 acquires information on the measured temperature from the input unit 17. Additionally, the acquisition unit 20 may cause the input unit 17 to sample the signal from the temperature sensor 14 at a prescribed period. The acquisition unit 20 stores the information on the measured temperature in the storage unit 15. Whenever a monitoring period elapses, the acquisition unit 20 calculates the average value of the measured temperatures stored in the storage unit 15 to compute the average temperature T. That is, the average temperature T is the average value of the temperatures measured by the temperature sensor 14 during the monitoring period from the previous arithmetic processing to the current arithmetic processing.

[0043] The arithmetic unit 21 performs various arithmetic operations in the life correction algorithm. Specifically, the arithmetic unit 21 derives a life curve function based on the basic formula stored in the storage unit 15, namely the following formula (1). The life curve function is a function representing the relationship between the full charge capacity and the operating time of the battery 13.

[0044]

Mathematical formula 1

[0045]

[0046] The life curve function is a function that determines the full charge capacity Q. The full charge capacity is the same as the capacity retention rate of the battery 13. The closer the value of the full charge capacity Q is to 1, the longer the life of the battery 13. In formula (1), the temperature T is the temperature of the battery 13. In the present embodiment, the temperature T corresponds to the average temperature T. The unit of temperature is [°C]. H p is the operating time elapsed since the battery 13 was installed. The operating time H p is also simply denoted as H. A and B are constants inherent to the type of the battery 13.

[0047] Before installing the battery 13, a high-temperature accelerated degradation test is performed on a battery of the same type as the battery 13. The values of the constants A and B are determined through this high-temperature accelerated degradation test. When the battery 13 is installed, information on the values of the constants A and B is stored in the storage unit 15.

[0048] The arithmetic unit 21 substitutes the constants A, B, and the temperature T into formula (1) to thereby derive the life curve function. For example, in the i-th arithmetic processing, the arithmetic unit 21 substitutes the constants A, B, and the i-th average temperature T i into formula (1) to thereby derive the i-th life curve function.

[0049] The arithmetic unit 21 can compute the full charge capacity Q corresponding to the operating time H by substituting the operating time H into the life curve function. In addition, the arithmetic unit 21 can compute the corresponding operating time H by substituting the full charge capacity Q into the life curve function.

[0050] The arithmetic unit 21 substitutes the full charge capacity in the previous arithmetic process into the life curve function in the current arithmetic process, thereby calculating the virtual operation time H'. The virtual operation time H' is a virtual operation time calculated by substituting the full charge capacity equal to the full charge capacity in the previous operation into the life curve function in the current operation. By substituting the value obtained by adding the monitoring period to the virtual operation time H' into the life curve function in the current operation, it is possible to calculate the full charge capacity in the current operation as a result of the degradation of the full charge capacity at the average temperature from the previous arithmetic process to the current arithmetic process.

[0051] In addition, the arithmetic unit 21 adds the previous operation time and the monitoring period to calculate the current operation time. The arithmetic unit 21 creates information on the current calibration point that correlates the current operation time and the current full charge capacity, and stores it in the storage unit 15. The arithmetic unit 21 creates information on the calibration point for each arithmetic process and stores it in the storage unit 15.

[0052] The determination unit 22 determines whether the current full charge capacity is less than the warning threshold. The determination unit 22 determines whether the current full charge capacity is less than the replacement threshold. Based on the determination result, the determination unit 22 sends a notification to the information center device 11 via the communication unit 16.

[0053] The prediction unit 23 derives a predicted life curve based on the information of multiple calibration points stored in the storage unit 15. The prediction unit 23 calculates the predicted operation time when the predicted full charge capacity shown in the predicted life curve is lower than the replacement threshold. The prediction unit 23 calculates the predicted remaining life, which is the period until the predicted operation time is reached.

[0054] Next, Figures 3 to 5 An algorithm for life correction will be described.

[0055] Figures 3 to 5 It is a graph for explaining the algorithm executed by the monitoring device in Embodiment 1.

[0056] In Figures 3 to 5 a graph showing the full charge capacity Q with respect to the operation time H of the battery 13 is shown. The unit of the operation time H on the horizontal axis is [year]. The unit of the full charge capacity Q is [%], which is a percentage with the full charge capacity Q of the battery in the unoperated state set to 100%. That is, it is a value obtained by expressing the right side of formula (1) as a percentage. In addition, the units of the operation time H and the full charge capacity Q only need to correspond to formula (1) and can be any units. A straight line L representing the replacement threshold is shown in the graph A1 . For example, the replacement threshold is 32%.

[0057] As Figure 3As shown, in the lifetime correction algorithm, first, the calculation unit 21 derives a reference lifetime curve L0. The reference lifetime curve L0 is a curve represented by a reference lifetime curve function obtained by substituting a reference temperature of 40°C into the formula (1).

[0058] Then, the life monitoring unit 18 calculates the correction point P at each predetermined period ΔH. The correction point P is represented by a tuple (H, Q) of the operating time H and the full charge capacity Q. The correction point P can be expressed as Figures 3 to 5 Hereinafter, the i-th calculated correction point is also referred to as P i . H i and Q i Corresponding to P i .exist Figure 3 The middle figure shows the i-th correction point P i (H i , Q i ).

[0059] Although not shown, when calculating the first correction point P1, the calculation unit 21 substitutes the operating time H1 into the reference life curve function to calculate the full charge capacity Q1. For example, the operating time H1 is equal to ΔH. Alternatively, when calculating the first correction point P1, the calculation unit 21 may derive the first life curve function L1 based on the average temperature T1 measured during the monitoring period O1 from the start of operation to the calculation of the first correction point P1. In this case, the calculation unit 21 may substitute H1 into the first life curve function L1 to calculate Q1.

[0060] like Figure 4 As shown, the life monitoring unit 18 uses the last calibration point P stored in the storage unit 15. i The information of the calculation is used to calculate the i+1th correction point, which is the current correction point P. i+1 .

[0061] First, the acquisition unit 20 obtains the value of the monitoring period O between the i-th operation and the i+1-th operation. i+1 The average temperature T of this time is calculated from the temperature measured inside i+1 The calculation unit 21 calculates the average temperature T i+1 Substitute into the basic life curve function, and derive the current life curve function, i.e., the i+1th life curve function L i+1 .

[0062] Then, the calculation unit 21 derives the last virtual calibration point, ie, the i-th virtual calibration point P i Specifically, the calculation unit 21 calculates the life curve function L i+1 Substitute the last full charge capacity Q in i, thereby calculating the previous virtual running time H i ′, deriving the previous virtual correction point, i.e., the i-th virtual correction point P i ′(H i ′, Q i ). That is, the i-th virtual correction point P i ′ is the point on the (i + 1)-th life curve having the same full charge capacity Q i as that of the correction point P i .

[0063] Then, the operation unit 21 adds the length ΔH of the monitoring period O i ′ to the virtual running time H i+1 to obtain H i ′+ΔH and substitutes it into the life curve function L i+1 to thereby calculate the current full charge capacity, i.e., the (i + 1)-th full charge capacity Q i+1 . The operation unit 21 calculates the (i + 1)-th running time H i obtained by adding ΔH to the previous running time H i+1 as the current running time. In this way, the operation unit 21 calculates the current correction point P i+1 (H i+1 , Q i+1 ). The operation unit 21 stores the information of the current correction point P i+1 in the storage unit 15.

[0064] Then, the determination unit 22 determines that the full charge capacity Q i+1 is equal to or higher than the warning threshold.

[0065] Additionally, Figure 4 the process shown can be regarded as a process of parallelly moving the line segment connecting the points Pi′(H i ′, Q i ) and (H i ′+ΔH, Q i+1 ) in the axial direction of the running time to the correction point P i and deriving the correction points P i to P i+1 .

[0066] As Figure 5 shown, then, when the period ΔH has elapsed, the life monitoring unit 18 calculates the (i + 2)-th correction point P i+2 as the current correction point. In this case, similar to the operation shown in Figure 4 , the life monitoring unit 18 respectively derives the average temperature T i+2 , the life curve function L i+2 , the virtual correction point P i+1 ′, the full charge capacity Q i+2 and the correction point Pi+2 At this time, the life monitoring unit 18 regards the (i + 1)-th calibration point P i+1 as the previous calibration point, and regards H i+1 and Q i+1 as the previous operating time and the previous full charge capacity for calculation.

[0067] Next, the operations of notifying warnings and calculating the remaining life based on multiple calibration points will be described using Figure 6 and Figure 7 .

[0068] Figure 6 is a graph showing multiple calibration points calculated by the monitoring device in Embodiment 1. Figure 7 is a graph showing multiple calibration points and the predicted life curve calculated by the monitoring device in Embodiment 1.

[0069] In Figure 6 , an example of the result obtained by repeatedly performing the life calibration algorithm is shown. The calibration line L n is a line schematically showing the line segment connecting multiple calibration points calculated by the life calibration algorithm. The calibration line L n can be regarded as a line obtained by correcting the reference life curve L0 according to the actual average temperature.

[0070] Point A1 is the point on the calibration line L n where the full charge capacity becomes the replacement threshold. That is, point A1 is the intersection point of the calibration line L n and the straight line L A1 representing the replacement threshold. The operating time H A1 corresponding to point A1 is the life obtained by the life calibration algorithm.

[0071] Point A2 is the point on the calibration line L n where the full charge capacity becomes the warning threshold. For example, the warning threshold is set to 40%. The operating time H A2 corresponding to point A2 is the warning time obtained by the life calibration algorithm. For example, the difference between the operating time H A1 and H A2 is the measured remaining life. The measured remaining life is the delay period from when the warning to promote battery replacement is issued by the monitoring device 10 until the end of the life.

[0072] Point B is the intersection point of the reference life curve L0 and the straight line L A1 . That is, the operating time corresponding to point B is the operating time at which replacement should be performed assuming that the life is predicted by the reference life curve L0. In this example, the operating time corresponding to point B and the operating time H A1The difference is about 2 years. That is, it is shown that under the setting conditions of this example, through the monitoring based on the algorithm of life correction, compared with the case based on the reference life curve L0, the battery 13 can be used about 2 years longer.

[0073] In addition, different from this example, depending on the setting conditions of the monitoring device 10, sometimes the operating time H A2 is shorter than the operating time corresponding to point B. In this case, the battery 13 is replaced at a safer replacement time.

[0074] In Figure 7 the predicted life curve L E is also shown. The predicted life curve L E is an approximate curve calculated in such a way that it holds for multiple correction points under specified fitting conditions.

[0075] For example, when the k-th full charge capacity Q k is lower than the warning threshold, the determination unit 22 notifies a warning. At this time, the prediction unit 23 starts the process of deriving the predicted life curve L E .

[0076] In this process, first, the prediction unit 23 acquires the multiple correction points P1 to P K from the 1st to the k-th stored in the storage unit 15. The prediction unit 23 derives, according to the function fitting method, a curve that satisfies specified conditions such as the distance between the multiple correction points P1 to P Figure 7 in the coordinate system shown being within a specified distance, and sets it as the predicted life curve L K . E

[0077] For example, the prediction unit 23 derives the respective constants and coefficients that satisfy the specified conditions for a function such as Equation (1), thereby deriving the predicted life curve L E . In addition, the prediction unit 23 can also derive the predicted life curve L E through a function form combined with trigonometric functions, power series functions, etc. instead of a function form such as Equation (1).

[0078] The prediction unit 23 applies the predicted life curve L E to the region where the operating time is longer than the multiple correction points P1 to P K , and derives the intersection point E of the predicted life curve L E and the straight line L A1 . That is, the prediction unit 23 calculates the predicted replacement operating time H E at which the full charge capacity becomes the replacement threshold on the predicted life curve L E . The prediction unit 23 calculates the operating time H k corresponding to the correction point P kThe difference from the predicted replacement operation time H E is the predicted remaining life.

[0079] Then, the prediction unit 23 notifies the information center device 11 of the information on the predicted replacement operation time H E and the information on the predicted remaining life. For example, in the information center device 11, a replacement plan for the battery 13 is formulated based on the information on the predicted replacement operation time H E and the information on the predicted remaining life.

[0080] In addition, the prediction unit 23 may derive the predicted life curve L E and the predicted replacement operation time H E at an arbitrary time instead of when the full charge capacity is lower than the warning threshold. In this case, the prediction unit 23 may also use the first calibration point P1 to the latest calibration point P k to derive the predicted life curve L E .

[0081] Next, the operation of the monitoring device 10 will be described using Figure 8 FIG.

[0082] Figure 8 is a flowchart showing an outline of the operation of the monitoring device in the first embodiment.

[0083] For example, after the monitoring device 10 is set, the Figure 8 flowchart starts. In step S01, the input unit 17 waits until a predetermined sampling period has elapsed.

[0084] Then, in step S02, the input unit 17 acquires temperature information from the temperature sensor 14.

[0085] Then, in step S03, the life monitoring unit 18 determines whether a period ΔH has elapsed since the last arithmetic processing.

[0086] If it is determined in step S03 that the period ΔH has not elapsed, the operations after step S01 are repeated.

[0087] If it is determined in step S03 that the period ΔH has elapsed, the operation in step S04 is performed. In step S04, the acquisition unit 20 calculates the average temperature T i during the current monitoring period. The arithmetic unit 21 derives the current life curve function based on the average temperature T i .

[0088] Then, in step S05, the arithmetic unit 21 substitutes the previous full charge capacity into the current life curve function to calculate the virtual operation time. The arithmetic unit 21 calculates the previous virtual calibration point.

[0089] Then, in step S06, the arithmetic unit 21 substitutes the sum of the virtual operation time and the monitoring period into the current life curve function, thereby calculating the current full charge capacity. The arithmetic unit 21 correlates the current operation time with the current full charge capacity and calculates the current correction point. The arithmetic unit 21 stores the information of the current correction point in the storage unit 15.

[0090] Then, in step S07, the determination unit 22 determines whether the current full charge capacity is smaller than the warning threshold.

[0091] In the case where it is determined in step S07 that the current full charge capacity is equal to or greater than the warning threshold, the operations after step S01 are repeated.

[0092] In the case where it is determined in step S07 that the current full charge capacity is smaller than the warning threshold, the operation of step S08 is performed. In step S08, the determination unit 22 determines whether the current full charge capacity is smaller than the replacement threshold.

[0093] In the case where it is determined in step S08 that the current full charge capacity is equal to or greater than the replacement threshold, the operation of step S09 is performed. In step S09, the prediction unit 23 derives a predicted life curve function based on a plurality of correction points stored in the storage unit 15. The prediction unit 23 calculates a predicted replacement operation time based on the predicted life curve function and the replacement threshold. The prediction unit 23 calculates a predicted remaining life based on the predicted replacement operation time.

[0094] Then, in step S10, the determination unit 22 notifies the information center device 11 of the information indicating the predicted remaining life and a warning for promoting replacement. Then, the operations after step S01 are repeated.

[0095] In the case where it is determined in step S08 that the current full charge capacity is smaller than the replacement threshold, the operation of step S11 is performed. In step S11, the determination unit 22 notifies the information center device 11 that the battery 13 should be replaced. Then, the operations after step S01 are repeated.

[0096] According to Embodiment 1 described above, the monitoring device 10 includes an acquisition unit 20, an arithmetic unit 21, and a determination unit 22. The monitoring device 10 derives the current life curve function based on the average temperature during the monitoring period. The monitoring device 10 calculates the current full charge capacity based on the current life curve function. At this time, the monitoring device 10 substitutes the previous full charge capacity into the current life curve function, thereby calculating the virtual operation time corresponding to the previous full charge capacity. The monitoring device 10 calculates the current full charge capacity based on the virtual operation time. The monitoring device 10 compares the current full charge capacity with a warning threshold. Therefore, it is possible to more accurately monitor the degradation state of the secondary battery serving as the battery 13. Especially in the field of elevator devices, the environment where the battery is placed varies from site to site. For such an environment that varies from site to site, the monitoring device 10 can appropriately monitor the battery life. In addition, a warning is notified to the information center device 11, so that the maintenance company of the elevator device 1 can replace the battery 13 more reliably.

[0097] Furthermore, in the present embodiment, it is possible to calculate the full charge capacity with the same degree of accuracy as in the past with a smaller amount of calculation than in the past. Specifically, there has been a technique in the past of deriving a life curve function based on a combination of the temperature around the secondary battery, the state of charge (SOC), etc. However, when deriving this life curve function, complex arithmetic processing such as determining the best life curve function from a plurality of prepared model life curve functions is required. In the present embodiment, the monitoring device 10 derives the life curve function using a single model formula such as (1). That is, it is possible to calculate the full charge capacity with the same degree of accuracy as these conventional techniques and with a smaller amount of calculation than in the past.

[0098] In addition, the monitoring device 10 further includes a prediction unit 23. The monitoring device 10 derives a predicted life curve function that satisfies a specified fitting condition for a plurality of calibration points. Here, the plurality of calibration points are points that correspond the measured operation time and the full charge capacity calculated based on the average temperature in each arithmetic process. Therefore, it is possible to derive a function that more accurately predicts the life.

[0099] In addition, the monitoring device 10 calculates the predicted operation time and calculates the predicted remaining life. Therefore, in the information center device 11, it is possible to formulate a replacement plan for the battery 13 based on a more accurate calculation.

[0100] In addition, the monitoring device 10 can also be applied to an elevator device without a machine room and with a control device or the like installed inside the hoistway.

[0101] In addition, the monitoring device 10 can also operate in the same manner to monitor the life of the secondary battery installed inside the hoistway 2 or inside the machine room 4 instead of the battery 13.

[0102] Industrial availability

[0103] As described above, the monitoring device of the present disclosure can be used for an elevator device.

[0104] Reference numeral description

[0105] 1: Elevator device; 2: Hoistway; 3: Building; 4: Machine room; 5: Traction machine; 6: Main rope; 7: Car; 8: Counterweight; 9: Control device; 10: Monitoring device; 11: Information center device; 12: Network; 13: Battery; 14: Temperature sensor; 15: Storage unit; 16: Communication unit; 17: Input unit; 18: Life monitoring unit; 20: Acquisition unit; 21: Arithmetic unit; 22: Judgment unit; 23: Prediction unit; 40: Reference temperature; LE: Predicted life curve; Li: Life curve function; Ln: Correction line; Pi: Correction point.

Claims

1. A monitoring device, which is connected to a control device for controlling an elevator car and is used for communicating with the outside, wherein, The monitoring device has: an acquisition unit that calculates an average temperature, which is an average value of the measured temperature of the secondary battery during a monitoring period from the previous arithmetic process to the current arithmetic process, based on the measured temperature of the secondary battery measured by a temperature sensor; an arithmetic unit that derives a current life curve function representing the relationship between the full charge capacity and the operating time of the secondary battery based on the average temperature, and calculates the current full charge capacity based on the current life curve function; a determination unit that gives a warning when the current full charge capacity calculated by the arithmetic unit is smaller than a warning threshold; and a prediction unit that derives a predicted life curve function representing the relationship between a predicted full charge capacity to be predicted and the operating time of the secondary battery, and calculates a predicted replacement operating time, which is the operating time of the secondary battery when the predicted full charge capacity becomes equal to a replacement threshold indicating a value at which the secondary battery should be replaced, based on the predicted life curve function, the arithmetic unit substitutes the previous full charge capacity calculated in the previous arithmetic process into the current life curve function, thereby calculating a virtual operating time corresponding to the previous full charge capacity, and substitutes the sum of the virtual operating time and the monitoring period into the current life curve function, thereby calculating the current full charge capacity, the arithmetic unit performs an operation of associating the current operating time and the current full charge capacity for each monitoring period, thereby creating a plurality of calibration points that associate the operating times and full charge capacities calculated through multiple arithmetic processes, where the current operating time is the sum of the previous operating time at which the previous arithmetic process was performed and the monitoring period, the prediction unit derives the predicted life curve function that satisfies a specified fitting condition for the plurality of calibration points.

2. The monitoring device according to claim 1, wherein when it is determined by the determination unit that the current full charge capacity is smaller than the warning threshold, the prediction unit calculates a predicted remaining life until the predicted replacement operating time.

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