WO2018167888A1 - Dispositif de prédiction de détérioration de batterie de stockage, procédé, système et programme de batterie de stockage - Google Patents
Dispositif de prédiction de détérioration de batterie de stockage, procédé, système et programme de batterie de stockage Download PDFInfo
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- WO2018167888A1 WO2018167888A1 PCT/JP2017/010499 JP2017010499W WO2018167888A1 WO 2018167888 A1 WO2018167888 A1 WO 2018167888A1 JP 2017010499 W JP2017010499 W JP 2017010499W WO 2018167888 A1 WO2018167888 A1 WO 2018167888A1
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- storage battery
- temperature
- cell module
- state determination
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Definitions
- Embodiments of the present invention relate to a storage battery deterioration prediction device, a storage battery system, a method, and a program.
- the expected life of stationary storage battery systems is as long as 15 to 20 years.
- the life of secondary batteries varies depending on the method of use and the surrounding environment, the degree of progress of battery deterioration becomes uneven or the battery deteriorates rapidly. There is concern about progress.
- the internal resistance of the storage battery becomes larger than the internal resistance of other healthy storage batteries. If deteriorated storage batteries are mixed in the storage battery system, the amount of change in cell voltage associated with charge / discharge increases, so the charge / discharge capacity of the storage battery system apparently decreases and the performance of the storage battery system decreases.
- the Joule heat generated at the time of charging / discharging becomes larger than the Joule heat of other healthy storage batteries, and the cell temperature of the deteriorated storage battery becomes higher than the cell temperature of the surrounding storage batteries.
- abnormalities such as internal short circuit and overcharge of the storage battery also generate heat, so it is possible to avoid deterioration in the performance of the storage battery system by predicting and responding to deterioration or abnormality of the storage battery using the temperature information of the storage battery. It becomes possible.
- the abnormality in order not to be affected by the external environmental temperature, the abnormality is relatively determined from the temperature difference of each storage battery.
- the temperature gradient of the storage battery system is not taken into consideration, so there is a possibility that an abnormality may be erroneously determined depending on the position of each storage battery to be compared. .
- the temperature gradient of the storage battery system it cannot simply be stated that the storage battery with the highest cell temperature is abnormal.
- the present invention has been made to solve the above-described problems, and an object thereof is to accurately predict a deterioration state or an abnormal state of a storage battery even in various temperature environments.
- the storage battery deterioration prediction apparatus is a storage battery deterioration prediction apparatus used in a storage battery system including a plurality of storage batteries connected in multiple series and parallel.
- the calculation unit receives the measurement result of the temperature of the storage battery, the temperature of the storage battery as a state determination target, and a plurality of other multiples that are arranged in a predetermined range with respect to the temperature environment where the storage battery as the state determination target is arranged Based on the temperature of the storage battery, a temperature difference ⁇ T with an estimated temperature obtained by estimating the temperature of the storage battery subject to state determination is calculated.
- the prediction unit predicts that the storage battery as the state determination target is in a deteriorated state or an abnormal state based on the temperature difference ⁇ T.
- FIG. 1 is an outline lineblock diagram of a storage battery system of an embodiment.
- FIG. 2 is a schematic configuration block diagram of the storage battery system of the embodiment.
- FIG. 3 is an explanatory diagram of detailed configurations of the cell module, the CMU, and the BMU.
- FIG. 4 is a schematic configuration block diagram of the host control device.
- FIG. 5 is a functional configuration block diagram of a main part of the storage battery system according to the first embodiment.
- FIG. 6 is an explanatory diagram of an example when measuring the temperature of the cell module group.
- FIG. 7 is a process flowchart of the battery temperature measurement unit and the ⁇ T calculation unit.
- FIG. 8 is an explanatory diagram of the measured temperature when the cell module is configured only with a healthy state.
- FIG. 9 is an explanatory diagram of the temperature difference ⁇ T when the cell module is configured only in a healthy state.
- FIG. 10 is an explanatory diagram of the measured temperature when a cell module in a degraded state or an abnormal state is included.
- FIG. 11 is an explanatory diagram of the temperature difference ⁇ T when a cell module in a deteriorated state or an abnormal state is included.
- FIG. 12 is a functional configuration block diagram of a main part of the storage battery system of the second embodiment.
- FIG. 13 is a functional configuration block diagram of a main part of the storage battery system of the third embodiment.
- FIG. 14 is an explanatory diagram of the third embodiment.
- FIG. 15 is a functional configuration block diagram of a main part of the storage battery system according to the fourth embodiment.
- FIG. 16 is a functional configuration block diagram of a main part of the storage battery system of the fifth embodiment.
- Drawing 1 is an outline lineblock diagram of a storage battery system of an embodiment.
- the storage battery system 100 includes a power meter 2 that measures the power supplied from the commercial power source 1 that supplies commercial power, and the power of the commercial power source 1 is charged based on the measurement result of the power meter 2, and the power supply is lost.
- the load 3 is normally supplied with power from the commercial power source 1 and operates when supplied with power from the storage battery unit 4 when the commercial power source 1 stops supplying power.
- the storage battery unit 4 is operated as a backup power source, but in addition to the power supply from the commercial power source 1 during the peak shift for power load leveling, the power of the storage battery unit 4 is Even in the case of supplying in a superimposed manner, the same application is possible.
- renewable energy energy by sunlight, solar heat, hydropower, wind power, biomass, geothermal heat, etc.
- it can be applied to stabilization of power quality (voltage, frequency, etc.).
- FIG. 2 is a schematic configuration block diagram of the storage battery system of the embodiment.
- the storage battery unit 4 can be broadly divided into a storage battery device 11 that stores electric power, and a power conversion device (PCS: Power) that converts DC power supplied from the storage battery device 11 into AC power having desired power quality and supplies it to a load. Conditioning System) 12.
- PCS Power
- Conditioning System 12.
- the storage battery device 11 roughly comprises a plurality of battery panel units 21-1 to 21-N (N is a natural number) and a battery terminal board 22 to which the battery panel units 21-1 to 21-N are connected. ing.
- the battery panel units 21-1 to 21-N include a plurality of battery panels 23-1 to 23-M (M is a natural number) connected in parallel to each other, a gateway device 24, and a BMU (Battery Management Unit: battery described later). And a DC power supply device 25 that supplies a DC power supply for operation to a management device) and a CMU (Cell Monitoring Unit).
- the battery panels 23-1 to 23-M constituting the battery panel units 21-1 to 21-N are respectively a high potential side power supply line (high potential side power supply line) LH and a low potential side power supply line.
- (Low-potential-side power supply line) LL is connected to output power supply lines (output power supply lines; bus lines) LHO and LLO, and supplies power to the power converter 12 as the main circuit.
- the battery panel 23-1 can be broadly divided into a plurality (24 in FIG. 1) of cell modules 31-1 to 31-20 and a plurality of cell modules 31-1 to 31-20 (FIG. 1). 24) CMUs 32-1 to 32-20, a service disconnect 33 provided between the cell module 31-12 and the cell module 31-13, a current sensor 34, and a contactor 35.
- the cell modules 31-1 to 31-20, the service disconnect 33, the current sensor 34, and the contactor 35 are connected in series.
- the cell modules 31-1 to 31-20 constitute a battery pack by connecting a plurality of battery cells in series and parallel.
- a plurality of cell modules 31-1 to 31-20 connected in series constitute an assembled battery group.
- the battery panel 23-1 includes a BMU 36, and the communication lines of the CMUs 32-1 to 32-20 and the output line of the current sensor 34 are connected to the BMU 36.
- the BMU 36 controls the entire battery panel 23-1 under the control of the gateway device 24, and displays the communication results (voltage data and temperature data described later) and the detection results of the current sensor 34 with the CMUs 32-1 to 32-20. Based on this, the contactor 35 is controlled to open and close.
- the battery terminal board 22 is configured as a microcomputer for controlling the plurality of panel breakers 41-1 to 41-N provided corresponding to the battery panel units 21-1 to 21-N and the entire storage battery device 11.
- a master device 42 for controlling the plurality of panel breakers 41-1 to 41-N provided corresponding to the battery panel units 21-1 to 21-N and the entire storage battery device 11.
- the master device 42 is configured as a control power line 51 and Ethernet (registered trademark) supplied via the UPS (Uninterruptible Power System) 12A of the power conversion device 12 between the power conversion device 12 and the control data. Are connected to a control communication line 52 that exchanges data.
- UPS Uninterruptible Power System
- FIG. 3 is an explanatory diagram of detailed configurations of the cell module, the CMU, and the BMU.
- Each of the cell modules 31-1 to 31-20 includes a plurality (10 in FIG. 3) of battery cells 61-1 to 61-10 connected in series.
- the CMU 32-1 to 32-20 is a voltage temperature measurement IC (Analog Front End IC: AFE) for measuring the voltage of the battery cell constituting the corresponding cell module 31-1 to 31-20 and the temperature of a predetermined location.
- IC Analog Front End IC
- -IC Analog Front End IC
- MPU Management Entity
- a communication controller 64 that conforms to the CAN (Controller Area Network) standard for CAN communication with the BMU 36
- a memory 65 for storing voltage data and temperature data corresponding to the voltage for each cell.
- each of the cell modules 31-1 to 31-20 and the corresponding CMUs 32-1 to 32-20 will be referred to as battery modules 37-1 to 37-20.
- a configuration in which the cell module 31-1 and the corresponding CMU 32-1 are combined is referred to as a battery module 37-1.
- the BMU 36 is transmitted from the CMU 32-1 to 32-20 and the MPU 71 that controls the entire BMU 36, the communication controller 72 conforming to the CAN standard for performing CAN communication with the CMU 32-1 to 32-20, and the CMU 32-1 to 32-20. And a memory 73 for storing voltage data and temperature data.
- the storage battery controller 5 detects the generated power of the natural energy power generation unit 1 and suppresses output fluctuations of the generated power using the storage battery device 11 in order to reduce the influence of the generated power on the power system.
- the fluctuation suppression amount for the storage battery device 11 is calculated by the storage battery controller 5 or its upper control device 6 and is given as a charge / discharge command to a PCS (Power Conditioning System) 12 corresponding to the storage battery device 11.
- PCS Power Conditioning System
- FIG. 4 is a schematic configuration block diagram of the host control device.
- the host control device 6 is configured as a so-called computer, and includes an external storage device 6A, a control unit 6B that controls the entire host control device 6, a display unit 6C that displays various types of information to the operator, and an operator that displays various types of information.
- a communication network 6E for performing communication between the control unit 6B and the external storage device 6A and between the control unit 6B and an external device such as the storage battery controller 5 or the like. .
- Battery characteristics that change due to deterioration include internal resistance and battery capacity.
- the battery capacity tends to decrease with time, and the internal resistance of the battery tends to increase.
- One factor that reduces battery capacity is an increase in internal resistance.
- FIG. 5 is a functional configuration block diagram of a main part of the storage battery system of the first embodiment.
- the storage battery device 11 of the storage battery system 100 includes a battery temperature measuring unit 71 that measures the temperatures of the cell modules 31-1 to 31-20 constituting the battery panel units 21-1 to 21-N.
- the host controller 6 determines the temperature of the cell module to be measured and the temperature of the other cell module that can be regarded as the same as the environmental temperature based on the physical arrangement of the cell modules 31-1 to 31-20.
- a ⁇ T calculating unit 72 that calculates a temperature difference ⁇ T that is a difference, and a deterioration predicting unit 73 that predicts the deterioration state or abnormal state of the cell modules 31-1 to 31-20 based on the calculation result of the ⁇ T calculation unit 72. I have.
- the battery temperature measuring unit 71 is actually configured as a CMU 32-1 to 32-20 or additionally as a BMU 36, and the cell modules 31-1 to 31-N constituting the battery panel units 21-1 to 21-N.
- the temperature of a cell module group (for example, a cell module) composed of every 31-20 or a plurality of cell modules is measured.
- FIG. 6 is an explanatory diagram of an example when measuring the temperature of the cell module group.
- the cell modules 31-1 to 31-10 are arranged in order from the highest along the height direction.
- the cell modules 31-1 to 31-10 are arranged in the height direction. It shall be arranged in order from the highest along.
- the cell modules 31-1 to 31-20 are housed in the same case (housing).
- the environmental temperature of the cell modules 31-1 to 31-20 is higher in the upper position according to heat transfer by convection, but the upper part is cooled to some extent by a fan or an air conditioner (not shown).
- a fan or an air conditioner not shown.
- the cell modules for example, cell modules 31-4 to 31-6, 31-16 to 31-18 located at the center have the highest temperature.
- FIG. 7 is a process flowchart of the battery temperature measurement unit and the ⁇ T calculation unit.
- the battery temperature measurement unit 71 measures the temperature of all the cell modules (shown as cell temperature in FIG. 7), and outputs it to the ⁇ T calculation unit 72 (step S11).
- the ⁇ T calculation unit 72 is such that the physical arrangement of the cell module corresponding to the input temperature is located at the top in the height direction (in the case of the example in FIG. 6, the cell module 31-1 or the cell Module 31-11) or located at the bottom in the height direction (in the case of the example of FIG. 6, cell module 31-10 or cell module 31-20) is determined whether it is a cell module (step S12).
- step S12 when the physical arrangement of the cell module corresponding to the input temperature is not located at the top in the height direction and is not located at the bottom in the height direction (Step S12; No), the temperature of the target cell module is estimated from the temperature of the cell module positioned above the target cell module and the temperature of the cell module positioned below the target cell module ( Step S13), the process proceeds to step S17.
- the position of the target cell module is represented by (row, col) using the row number row and the column number col
- the temperature estimation value Test (row, col) of the target cell module is (1) by the function f having as parameters the temperature Tdet (row-1, col) of the cell module located above the target cell module and the temperature Tdet (row + 1, col) of the cell module located below It can be expressed as
- Equation (2) the function f can be expressed as, for example, Equation (2).
- step S12 when the physical arrangement of the cell module corresponding to the input temperature is located at the top in the height direction or located at the bottom in the height direction (Step S12; Yes), it is determined whether or not the physical arrangement of the cell module corresponding to the input temperature is located at the top in the height direction (Step S14).
- step S14 when the physical arrangement of the cell module corresponding to the input temperature is not positioned at the top in the height direction, that is, the physical arrangement of the cell module corresponding to the input temperature.
- the position of the target cell module is represented by (row, col), for example, and the temperature estimation value Test (row, col) of the target cell module is adjacent to the target cell module. It can be expressed as equation (3) by a function f having parameters of the temperature Tdet (row, col ⁇ 1) of the cell module positioned and the temperature Tdet (row-1, col) of the cell module positioned above.
- the function f can be expressed as in equation (4).
- the temperature of 20 is estimated, and the process proceeds to step S17.
- the position of the target cell module is expressed by, for example, (row, col), and the estimated temperature value Test (row, col) of the target cell module is below the target cell module. It can be expressed as equation (5) by a function f having parameters of the temperature Tdet (row + 1, col) of the cell module positioned and the temperature Tdet (row, col ⁇ 1) of the cell module positioned adjacent to the cell module.
- Equation (6) the function f can be expressed as in Equation (6).
- the target cell module is the cell module 31-1
- the temperature of the cell module 31-2 located under the target cell module 31-1 and the target cell module The temperature of the target cell module 31-1 is estimated from the temperature of the cell module 31-11 located adjacent to 31-1, and the process proceeds to step S17.
- the ⁇ T calculation unit 72 calculates a temperature difference ⁇ T that is a difference between the temperature Tdet (row, col) detected by the target cell module and the estimated temperature Test (row, col) of the cell module (step) S17). Specifically, the temperature difference ⁇ T is calculated by the equation (7).
- the ⁇ T calculation unit 72 determines whether or not the temperature difference ⁇ T has been calculated for all the cell modules (step S18). Specifically, in the example of FIG. 6, it is determined whether or not the temperature difference ⁇ T, which is the difference between the measured temperature and the estimated temperature, is calculated for the cell modules 31-1 to 31-20.
- step S18 If the temperature difference ⁇ T has not yet been calculated for all the cell modules in the determination in step S18 (step S18; No), the cell module for which the temperature difference ⁇ T is calculated is changed (step S19). The process proceeds to step S12 again, and the same process as described above is repeated thereafter.
- step S18 determines whether the temperature difference ⁇ T has been calculated for all the cell modules (step S18; Yes). If it is determined in step S18 that the temperature difference ⁇ T has been calculated for all the cell modules (step S18; Yes), the process ends.
- the deterioration state detection part predicts the deterioration state or abnormal state of the cell module based on the calculation result of the temperature difference ⁇ T.
- a specific example of the measured temperature and the estimated temperature in the case where the cell module is configured only in a healthy state and in the case where a cell module in a deteriorated state or an abnormal state is included will be described.
- a specific example of the measured temperature and the estimated temperature in the case where the cell module is configured only with a healthy state will be described.
- FIG. 8 is an explanatory diagram of the measured temperature when the cell module is configured only with a healthy state.
- FIG. 9 is explanatory drawing of the temperature difference (DELTA) T at the time of being comprised only with the cell module of a healthy state.
- the temperature of the cell module 31-1 is estimated from the temperature of -11. That is, it is expressed by equation (8).
- the temperature difference ⁇ T when the temperature difference ⁇ T is obtained for all the cell modules, it becomes as shown in FIG. 9.
- the temperature threshold value for determining the deterioration state or the abnormal state is 2.5 ° C., for example, Since there is no cell module that exceeds, it is determined that the cell module is composed of only healthy cell modules.
- FIG. 10 is an explanatory diagram of the measured temperature when a cell module in a degraded state or an abnormal state is included.
- FIG. 11 is an explanatory diagram of the temperature difference ⁇ T when a cell module in a degraded state or an abnormal state is included.
- the target storage battery when the temperature difference ⁇ T is small, it means that the cell temperature measurement value of the target storage battery exists on the estimated temperature gradient, so heat generation due to deterioration or abnormality is not recognized, and the target storage battery Predict that it is healthy.
- the target storage battery is predicted to be deteriorated or abnormal because there is no cell temperature measurement value of the target storage battery on the estimated temperature gradient due to heat generation due to deterioration or abnormality. It is.
- the temperature gradient caused by the arrangement position of the cell module is taken into consideration, so that the cell module (storage battery) can be accurately used even in various temperature environments. Degraded state or abnormal state can be predicted more accurately.
- Second Embodiment In the first embodiment, when the calculated temperature difference ⁇ T exceeds a predetermined threshold, the cell module is determined to be deteriorated or abnormal. However, the second embodiment counts the number of times the temperature difference ⁇ T exceeds a predetermined threshold in order to more reliably detect the deterioration or abnormality of the cell module, and based on the count, the deterioration or abnormality of the cell module. Is to judge.
- FIG. 12 is a functional configuration block diagram of a main part of the storage battery system of the second embodiment.
- the same parts as those of the first embodiment of FIG. 5 are denoted by the same reference numerals, and detailed description thereof is omitted.
- a counting unit 75 that counts the number of times that the temperature difference ⁇ T exceeds a predetermined threshold value in the subsequent stage of the ⁇ T calculating unit 72, and the count result of the counting unit 75
- a deterioration predicting unit 73A for predicting the deterioration state or abnormal state of the cell modules 31-1 to 31-20 based on the above.
- the deterioration predicting unit 73A predicts that the target storage battery is in a deteriorated state or an abnormal state when the count number in the count unit 75 exceeds a certain value.
- the second embodiment even if the temperature difference ⁇ T happens to exceed a predetermined threshold due to changes in the surrounding environment, it is not an instantaneous determination, but heat generation due to a deteriorated state or an abnormal state. Since the tendency can be grasped more stably, the deterioration state or abnormal state of the storage battery can be predicted with high accuracy.
- FIG. 13 is a functional configuration block diagram of a main part of a storage battery system according to a third embodiment.
- the same parts as those of the second embodiment of FIG. 12 are denoted by the same reference numerals, and detailed description is incorporated.
- the use of the prediction results of the deterioration prediction units 73 and 73A is not clearly described.
- the deterioration prediction units 73 and 73A predict the deterioration state or the abnormal state.
- the cell module (storage battery) is provided with a deterioration presentation unit 77 that presents the state of the cell module (storage battery) to the user as a deterioration state or an abnormal state divided into several stages.
- the deterioration presenting unit 21 determines the state of the cell module predicted by the deterioration predicting units 73 and 73A as a deteriorated state or an abnormal state among the counts of the magnitude of the temperature difference ⁇ T or the number of times the temperature difference ⁇ T exceeds a predetermined threshold. Based on at least one of them, it is presented to the user as a deteriorated state or an abnormal state in several stages.
- a predetermined threshold a deteriorated state or an abnormal state.
- FIG. 14 is an explanatory diagram of the third embodiment.
- a threshold value ThA that is predicted to be suspected that the cell module is in a deteriorated state or an abnormal state
- ThB a threshold value that is considered to be surely deteriorated or abnormal in the storage battery
- the deterioration predicting unit 73A determines that there is no indication that the target storage battery is in a deteriorated state or an abnormal state, and the deterioration presenting unit 77 does so. Is presented to the user.
- the deterioration prediction unit 73A is the target. Although there is a possibility that the cell module is in a deteriorated state or an abnormal state, it is determined that the urgency is low, and the deterioration presenting unit 77 presents that fact to the user.
- the deterioration prediction unit 73A is the target. It is determined that there is a high possibility that the cell module is in a deteriorated state or abnormal, and the deterioration presenting unit 77 presents that fact to the user.
- the deterioration predicting unit 73A indicates that the target cell module is deteriorated or abnormal regardless of the count number that exceeds the threshold ThB. It is determined that there is a high possibility that it is necessary to respond urgently, and the deterioration presentation unit 77 presents the fact to the user.
- the number of threshold values for the temperature difference ⁇ T is not limited to the two cases of the threshold value ThA and the threshold value ThB, but is set to three or more, so that the regions are further subdivided and information corresponding to each region is presented by the deterioration presentation unit 77.
- the state of the cell module (storage battery) predicted by the deterioration predicting unit 73A as being in a deteriorated state or an abnormal state is displayed via the deterioration presenting unit 77 in several stages. By presenting the above, the user can take a more appropriate response according to each stage.
- FIG. 15 is a functional configuration block diagram of a main part of the storage battery system according to the fourth embodiment.
- the fourth embodiment is different from the first and second embodiments in that the battery voltage measuring unit 79 that measures the voltage of the cell module (storage battery) and the cell module measured by the battery voltage measuring unit 79 A voltage is used as an index to indicate a deterioration state or an abnormal state, and a ⁇ V calculation unit 81 that calculates ⁇ V, which is a difference between the measured voltage and the predicted voltage, and a temperature difference ⁇ T calculated by the ⁇ T calculation unit 72 are predetermined.
- Count unit 75A that counts the number of times that the threshold value exceeds the set threshold value and counts the number of times that ⁇ V calculated by ⁇ V calculation unit 81 exceeds the set threshold value, and a storage battery based on the calculation processing result of count unit 75A
- a deterioration predicting unit 73B that predicts that the state is one deterioration state or abnormal state.
- the battery voltage measuring unit 79 measures the voltage of the cell module constituting the storage battery system for each cell module, or measures the voltage of the cell module group constituted by a plurality of cell modules for each cell module group.
- a temperature gradient (temperature gradient of environmental temperature) in the storage battery system may affect the voltages of the cell modules 31-1 to 31-20.
- the cell voltage of the storage battery when energized is composed of the electromotive force of the storage battery and the voltage change due to the internal resistance.
- the internal resistances of the cell modules 31-1 to 31-20 vary depending on the temperature of the cell module, the voltage of each cell module having a temperature difference may be different. Therefore, regarding the cell modules connected in series, the deterioration state or abnormal state of the determination target cell module is predicted by using the voltage of the cell module located above and below the target cell module.
- the ⁇ V computing unit 81 computes ⁇ V, which is an index representing a deterioration state or an abnormal state, using the measured voltage of the cell module. Subsequently, the cell voltage of the target cell module is estimated using the measured voltage of the cell module, and how much ( ⁇ V) is different from the measured value of the cell voltage is calculated. Specifically, the voltage estimation value V est of the target cell module is connected in series with the target cell module, and the voltage of the cell module positioned next on the upstream side (previous stage side), The estimation is based on the voltage of the cell module that is connected in series with the target cell module and that is positioned next downstream (on the rear side).
- V det row-1, col
- V det row + 1, col
- V est (row, col) of the target cell module can be expressed by the function f shown in the equation (20).
- the voltage measurement value of the target cell module is connected in series with the target cell module storage battery and the storage battery in the vicinity is connected.
- the absolute value of the difference between the measured cell voltage values may be ⁇ V.
- the count unit 75A In addition to the count related to the temperature difference ⁇ T, the count unit 75A counts the number of times when ⁇ V calculated by the ⁇ V calculation unit 81 exceeds a set threshold value. When the count number related to the temperature difference ⁇ T exceeds a predetermined count threshold value, or when the count number corresponding to ⁇ V exceeds a predetermined count threshold value, the degradation predicting unit 73B Or it is predicted that the state is abnormal.
- the fourth embodiment it is possible to predict the deterioration state or abnormal state of the cell module with high accuracy using not only the temperature of the cell module but also the voltage of the cell module.
- FIG. 16 is a functional configuration block diagram of a main part of the storage battery system of the fifth embodiment.
- the fifth embodiment is different from the fourth embodiment in FIG. 15 in that the deterioration prediction unit 5 is in a deteriorated state or an abnormal state based on the calculation processing results of the ⁇ T calculation unit 72, the ⁇ V calculation unit 81, and the count unit 73B. It is a point provided with a deterioration presenting unit 77A that presents the state of the cell module predicted to be present to the user in several stages.
- the deterioration presenting unit 77A is deteriorated based on the magnitude of the temperature difference ⁇ T and the count number when the temperature difference ⁇ T exceeds the set threshold, and the count number when the magnitude of ⁇ V and ⁇ V exceeds the set threshold.
- the state of the cell module predicted to be in the state or abnormal state is presented to the user in several stages.
- the count number that exceeds the set threshold value ⁇ V is equal to or greater than a predetermined threshold value. If there is, there is a high possibility that the target storage battery is deteriorated or abnormal and it is necessary to respond urgently, and that fact may be presented to the user.
- the fifth embodiment even when it cannot be determined that the state is completely deteriorated or abnormal, it can be notified to the user according to the high possibility of the user. However, it is possible to respond flexibly and improve maintainability.
- the threshold for the temperature difference ⁇ T may be set higher, assuming that the deteriorated storage battery generates more heat.
- the threshold for the temperature difference ⁇ T is set low. May be.
- a host control device that functions as a storage battery deterioration prediction device includes a control device such as a CPU, a storage device such as a ROM (Read Only Memory) and a RAM, an HDD, and a CD drive device. It is possible to adopt a hardware configuration using a normal computer equipped with an external storage device, a display device such as a display device, and an input device such as a keyboard and a mouse.
- the program executed by the host control device functioning as the storage battery deterioration prediction device is a CD-ROM, flexible disk (FD), CD-R, It can be provided by being recorded on a computer-readable recording medium such as a DVD (Digital Versatile Disk).
- the program executed by the host control device functioning as the storage battery deterioration prediction device of the present embodiment is stored on a computer connected to a network such as the Internet, and is provided by being downloaded via the network. You may do it. Moreover, you may comprise so that the program run with the high-order control apparatus which functions as a storage battery deterioration prediction apparatus of this embodiment may be provided or distributed via networks, such as the internet. Moreover, you may comprise so that the program of the high-order control apparatus which functions as a degradation prediction apparatus of the storage battery of this embodiment may be provided by previously incorporating in ROM etc.
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- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
L'invention concerne, selon un mode de réalisation, un dispositif de prédiction de détérioration de batterie de stockage destiné à être utilisé dans un système de batterie de stockage comprenant une pluralité de batteries de stockage qui sont connectées en série et en parallèle. Une unité de calcul reçoit des entrées de résultats de mesure de la température des batteries de stockage et calcule la différence de température ΔT entre la température d'une batterie de stockage soumise à une détermination d'état et une température estimée de la batterie de stockage soumise à une détermination d'état, estimée sur la base des températures d'autres batteries de stockage disposées dans une plage prescrite par rapport à l'environnement de température dans lequel la batterie de stockage soumise à une détermination d'état est disposée. Une unité de prédiction est configurée pour effectuer une prédiction sur la base de la différence de température ΔT pour savoir si la batterie de stockage soumise à la détermination d'état est dans un état détérioré ou un état anormal. Ainsi, la présente invention permet de prédire avec précision un état détérioré ou un état anormal d'une batterie de stockage dans une variété d'environnements de température.
Priority Applications (2)
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JP2019505598A JP6773889B2 (ja) | 2017-03-15 | 2017-03-15 | 蓄電池の劣化予測装置、蓄電池システム、方法及びプログラム |
PCT/JP2017/010499 WO2018167888A1 (fr) | 2017-03-15 | 2017-03-15 | Dispositif de prédiction de détérioration de batterie de stockage, procédé, système et programme de batterie de stockage |
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PCT/JP2017/010499 WO2018167888A1 (fr) | 2017-03-15 | 2017-03-15 | Dispositif de prédiction de détérioration de batterie de stockage, procédé, système et programme de batterie de stockage |
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WO2018167888A1 true WO2018167888A1 (fr) | 2018-09-20 |
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PCT/JP2017/010499 Ceased WO2018167888A1 (fr) | 2017-03-15 | 2017-03-15 | Dispositif de prédiction de détérioration de batterie de stockage, procédé, système et programme de batterie de stockage |
Country Status (2)
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JP (1) | JP6773889B2 (fr) |
WO (1) | WO2018167888A1 (fr) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113540589A (zh) * | 2021-07-14 | 2021-10-22 | 长安大学 | 一种电池温差自适应阈值确定方法及系统 |
CN116215319A (zh) * | 2023-02-06 | 2023-06-06 | 岚图汽车科技有限公司 | 动力电池系统温度异常监控方法、系统及存储介质 |
CN120405485A (zh) * | 2025-07-03 | 2025-08-01 | 浙江赛唯数字能源技术有限公司 | 一种电池故障检测方法、装置、设备及存储介质 |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116788049B (zh) * | 2023-08-17 | 2023-12-05 | 宁德时代新能源科技股份有限公司 | 碰撞处置方法、装置、设备、存储介质及用电装置 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2011076746A (ja) * | 2009-09-29 | 2011-04-14 | Mitsubishi Heavy Ind Ltd | 二次電池異常予見システム |
JP2014204571A (ja) * | 2013-04-05 | 2014-10-27 | 株式会社マキタ | 電動機器システム及びバッテリパック |
JP2015072830A (ja) * | 2013-10-03 | 2015-04-16 | 株式会社豊田自動織機 | 温度異常検出装置 |
JP2015109191A (ja) * | 2013-12-04 | 2015-06-11 | トヨタ自動車株式会社 | 蓄電システム |
-
2017
- 2017-03-15 WO PCT/JP2017/010499 patent/WO2018167888A1/fr not_active Ceased
- 2017-03-15 JP JP2019505598A patent/JP6773889B2/ja active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2011076746A (ja) * | 2009-09-29 | 2011-04-14 | Mitsubishi Heavy Ind Ltd | 二次電池異常予見システム |
JP2014204571A (ja) * | 2013-04-05 | 2014-10-27 | 株式会社マキタ | 電動機器システム及びバッテリパック |
JP2015072830A (ja) * | 2013-10-03 | 2015-04-16 | 株式会社豊田自動織機 | 温度異常検出装置 |
JP2015109191A (ja) * | 2013-12-04 | 2015-06-11 | トヨタ自動車株式会社 | 蓄電システム |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113540589A (zh) * | 2021-07-14 | 2021-10-22 | 长安大学 | 一种电池温差自适应阈值确定方法及系统 |
CN113540589B (zh) * | 2021-07-14 | 2022-08-26 | 长安大学 | 一种电池温差自适应阈值确定方法及系统 |
CN116215319A (zh) * | 2023-02-06 | 2023-06-06 | 岚图汽车科技有限公司 | 动力电池系统温度异常监控方法、系统及存储介质 |
CN120405485A (zh) * | 2025-07-03 | 2025-08-01 | 浙江赛唯数字能源技术有限公司 | 一种电池故障检测方法、装置、设备及存储介质 |
Also Published As
Publication number | Publication date |
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JP6773889B2 (ja) | 2020-10-21 |
JPWO2018167888A1 (ja) | 2019-06-27 |
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