WO2022239391A1 - 電池性能評価装置および電池性能評価方法 - Google Patents
電池性能評価装置および電池性能評価方法 Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims description 52
- 238000012545 processing Methods 0.000 claims abstract description 64
- 238000005259 measurement Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 11
- 230000008859 change Effects 0.000 claims description 3
- 238000002847 impedance measurement Methods 0.000 claims description 3
- 238000012854 evaluation process Methods 0.000 claims 1
- 230000004044 response Effects 0.000 description 20
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- 238000012546 transfer Methods 0.000 description 18
- 230000006866 deterioration Effects 0.000 description 15
- 230000014509 gene expression Effects 0.000 description 14
- 238000005070 sampling Methods 0.000 description 4
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 239000003792 electrolyte Substances 0.000 description 2
- 229910001416 lithium ion Inorganic materials 0.000 description 2
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- OJIJEKBXJYRIBZ-UHFFFAOYSA-N cadmium nickel Chemical compound [Ni].[Cd] OJIJEKBXJYRIBZ-UHFFFAOYSA-N 0.000 description 1
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- 230000000977 initiatory effect Effects 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/005—Detection of state of health [SOH]
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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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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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- 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
- H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00711—Regulation of charging or discharging current or voltage with introduction of pulses during the charging process
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
- H02J7/007182—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery voltage
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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
- the present invention relates to a system for determining the state of deterioration of a secondary battery such as a lithium ion battery.
- the present applicant has proposed a technical method capable of determining the deterioration state of the secondary battery even when there is no initial measurement result of the characteristic parameters of the target secondary battery itself (see Patent Document 1). ). Specifically, based on the current measured value V(k) of the voltage V of the secondary battery and the current measured value I(k) of the current I, the past value of the voltage V is calculated according to the multivariable function G representing the initial characteristic model. It is specified as the initial property estimate V(0 ⁇ k).
- the “initial characteristic model” is a model representing the initial characteristics of a reference secondary battery of the same standard as the secondary battery to be subjected to deterioration state determination.
- the present invention provides a device that can evaluate the performance of a secondary battery while reducing the computational processing load required to identify model parameter values that define a model used to evaluate the performance of the secondary battery. intended to provide
- the battery performance evaluation device includes: a first recognition processing element that recognizes the measurement result of the impedance of the reference secondary battery; Based on the measurement result of the impedance of the reference secondary battery recognized by the first recognition processing element, if the specified condition is not satisfied, the plurality of first model parameters are identified.
- a second recognition processing element Voltage output from the first battery model or the second battery model determined by the first arithmetic processing element when the specified current is input to the first battery model or the second battery model a second processing element that identifies the model output voltage as a variation of A battery performance evaluation element that evaluates the performance of the target secondary battery based on a comparison result between the measured output voltage recognized by the second recognition processing element and the model output voltage specified by the second arithmetic processing element. and have.
- different battery models are determined as battery models used for performance evaluation of the target secondary battery depending on whether the specified condition is satisfied or not satisfied. Specifically, when the designated condition is satisfied, the number defined by the plurality of second model parameters, which is smaller than the plurality of first model parameters, is defined by the plurality of first model parameters.
- a second battery model which is a simpler battery model than the first battery model (a battery model that is determined when the specified condition is not satisfied), is determined. For this reason, compared to the case where the first battery model is established regardless of the sufficiency of the specified conditions, the arithmetic processing required for identifying the model parameters of the battery model used for evaluating the performance of the target secondary battery. A reduction in load is achieved.
- FIG. 1 is an explanatory diagram relating to the configuration of a battery performance evaluation device as one embodiment of the present invention
- 4 is a flow chart showing the procedure of a battery performance evaluation method for a target secondary battery.
- Explanatory drawing about a designated electric current Explanatory drawing about the voltage response characteristic of a secondary battery and a battery model.
- a battery performance evaluation apparatus 100 as one embodiment of the present invention shown in FIG. 1 is configured by one or a plurality of servers that can communicate with each of the database 10 and the target device 200 via a network.
- the battery performance evaluation apparatus 100 evaluates the performance of the secondary battery 220 mounted as a power source on the target device 200.
- the battery performance evaluation device 100 includes a first recognition processing element 111, a second recognition processing element 112, a first arithmetic processing element 121, a second arithmetic processing element 122, a battery performance evaluation element 130, and an information provision element 132. and have.
- Each of the first recognition processing element 111, the second recognition processing element 112, the first arithmetic processing element 121, the second arithmetic processing element 122, the battery performance evaluation element 130, and the information provision element 132 includes a processor (arithmetic processing unit), a memory (storage device) and an I/O circuit.
- the memory or a separate storage device stores various data such as measurement results of the voltage response characteristics of the secondary battery 220 with respect to a specified current, as well as programs (software).
- each of a plurality of identifiers for identifying the secondary battery 220 or the type of the target device 200 in which it is mounted (specified by standards and specifications) and each of a plurality of secondary battery models. They are stored and held in memory in association with each other.
- Each element "recognizes" information means receiving information, retrieving or reading information from an information source such as database 10, calculating information by performing arithmetic processing on basic information, It means to perform any computation such as estimating, identifying, identifying, predicting, etc. that prepares necessary information or data for subsequent computation.
- the target device 200 includes an input interface 202, an output interface 204, a control device 210, a secondary battery 220, and a sensor group 230.
- the target device 200 includes all devices that use the secondary battery 220 as a power source, such as personal computers, mobile phones (smartphones), home electric appliances, and mobile objects such as electric bicycles.
- the control device 210 is composed of a processor (arithmetic processing device), a memory (storage device), an I/O circuit, and the like. Various data such as measurement results of the voltage response characteristics of the secondary battery 220 are stored in the memory or a separate storage device.
- the control device 210 operates according to power supplied from the secondary battery 220, and controls the operation of the target device 200 in an energized state.
- the operation of the target device 200 includes the operation of an actuator (such as an electric actuator) that configures the target device 200 .
- a processor that constitutes control device 210 reads necessary programs and data from the memory, and executes arithmetic processing assigned according to the program based on the data.
- the secondary battery 220 is, for example, a lithium ion battery, and may be another secondary battery such as a nickel-cadmium battery.
- the sensor group 230 measures the voltage response characteristics and temperature of the secondary battery 220 as well as parameter values necessary for controlling the target device 200 .
- the sensor group 230 includes, for example, a voltage sensor, a current sensor, and a temperature sensor that output signals corresponding to the voltage, current, and temperature of the secondary battery 220, respectively.
- the battery performance evaluation device 100 may be installed in the target device 200.
- the software server (not shown) transmits the deterioration determination software to the arithmetic processing unit that constitutes the control device 210 provided in the target device 200, so that the battery is charged to the arithmetic processing unit.
- a function as the performance evaluation device 100 may be provided.
- Battery performance evaluation method A battery performance evaluation method for the secondary battery 220 (target secondary battery) executed by the battery performance evaluation apparatus 100 configured as described above will be described below.
- the first recognition processing element 111 in the battery performance evaluation device 100 recognizes impedance measurement results such as the complex impedance Z of secondary batteries 220 as reference secondary batteries of various types ( FIG. 2 /STEP 112).
- the complex impedance Z of the reference secondary battery is measured by an AC impedance method, and the measurement result is registered in the database 10 in association with an identifier for identifying the type of reference secondary battery.
- the complex impedance Z of the secondary battery 220 as a reference secondary battery when not mounted on the target device 200 is measured.
- the complex impedance Z of the secondary battery 220 as a reference secondary battery in a state of being mounted on the target device 200 may be measured.
- the target device 200 may be connected to a power supply such as a commercial power supply to charge the secondary battery 220, and the power supplied from the power supply may output a sine wave signal.
- FIG. 4A shows an example of a Nyquist plot representing the measured results of the complex impedance Z of the secondary battery 220 together with an approximated curve of the plot.
- the horizontal axis is the real part ReZ of the complex impedance Z
- the vertical axis is the imaginary part ⁇ ImZ of the complex impedance Z.
- the radius of curvature of the substantially semicircular portion in the region of ⁇ ImZ>0 corresponds to the charge transfer resistance of the secondary battery 220 .
- the radius of curvature tends to decrease as the temperature T of secondary battery 220 increases.
- the influence of the Warburg impedance of the secondary battery 220 is reflected in the linear portion that rises at about 45° in the low frequency region of ⁇ ImZ>0.
- the first arithmetic processing element 121 determines whether or not the designated condition is satisfied (FIG. 2/STEP 114).
- the specified condition is, for example, that the specified current applied to the secondary battery 220 as the target secondary battery is composed of a low-frequency current component lower than the sampling frequency.
- the sampling frequency for example, in the Nyquist plot shown in FIG. 4A, even if the frequency ( ⁇ 1 Hz) corresponding to the linear rising point of about 45 ° in the low frequency region of -ImZ> 0 is adopted as the sampling frequency good.
- a current composed of low-frequency current components corresponding to the charge/discharge current of the secondary battery 220 corresponds to the designated current.
- a specified condition may be defined as a condition that the elapsed time from the previous performance evaluation of the secondary battery 220 is less than a specified time.
- the first battery model is a model representing voltage V(z) output from secondary battery 220 when current I(z) is input to secondary battery 220 .
- the number of RC parallel circuits connected in series may be less than 3 or may be more than 3.
- a Warburg impedance W may be connected in series with a resistor R in at least one RC parallel circuit.
- the capacitor C may be replaced with a CPE (Constant Phase Element).
- the first battery model is defined by the relational expression (11) using the open-circuit voltage OCV(z) of the secondary battery 220 and the internal resistance transfer function H 1 (z).
- V(z) OCV(z)+H1(z) ⁇ I (z) (11).
- OCV(z) represents that the open-circuit voltage increases or decreases as the current I(z) charges and/or discharges.
- the transfer function H 1 (z) of the internal resistance in the first battery model is the transfer function H 0 (z) of the resistance r 0 defined by the relational expression (12), and the transfer function H 0 (z) of the resistance r 0 defined by the relational expression (13)
- the transfer function H i (z) of the RC parallel circuit of i, the transfer function H W (z) of the Warburg impedance W defined by relation (14), and the LR parallel circuit defined by relation (15) Defined by relation (16) using the transfer function H L (z) of the circuit.
- H i (z) (b i0 +b i1 z ⁇ 1 )/(1+a i1 z ⁇ 1 ) (13).
- a i , b i0 and b i1 are expressed by the coefficient relational expressions (131) and (132) using the sampling period T.
- a i ⁇ (T ⁇ 2r i C i )/(T+r i C i ) (131).
- the transfer function h W (s) of the Warburg impedance W that fits the experimental data is expressed by the relational expression (141) or (142) in the frequency domain.
- h W (s) w 1 ⁇ tan h ⁇ (sw 2 ) w3 ⁇ /(sw 2 ) w3 (141).
- h W (s) w 1 ⁇ coth ⁇ (sw 2 ) w3 ⁇ /(sw 2 ) w3 (142).
- H L (z) (2L 0 /T)(1 ⁇ z ⁇ 1 )/(1+z ⁇ 1 ) (15).
- the approximation curve of the complex impedance Z of the secondary battery represented by the Nyquist plot indicated by the solid line in FIG. is defined under the assumption that As a result, the values of the first model parameters r 0 , r i , C i , w 1 , w 2 , w 3 , r L and L are obtained (see relational expressions (12) to (15)).
- Table 1 shows an example of the identification result of the value of the first model parameter and the time constant.
- the value of the open-circuit voltage OCV in the secondary battery model is identified by the measured value of the open-circuit voltage OCV (see relational expression (11)). Then, the first battery model is established as the secondary battery 220 as a reference secondary battery with various specifications or specifications based on the values of the parameters.
- the complex impedance Z of the secondary battery 220 as the reference secondary battery recognized by the first recognition processing element 111 is measured. Based on the results, respective values of the plurality of second model parameters defining the second battery model are identified for each different temperature (FIG. 2/STEP 118).
- the second battery model is a model representing voltage V(z) output from secondary battery 220 when current I(z) is input to secondary battery 220 .
- the second battery model is compared with the first battery model when the time constant of the transfer function H i (z) of the i-th RC parallel circuit defined by the relational expression (13) is sufficiently smaller than the sampling period T.
- a simplified model For example, a second battery model is defined by an equivalent circuit with a single resistor R 0 and a Warburg impedance W connected in series, as shown in FIG. 3B.
- the second battery model is defined by the relational expression (21) using the open-circuit voltage OCV(z) of the secondary battery 220 and the internal resistance transfer function H 2 (z).
- V(z) OCV(z)+H 2 (z) ⁇ I(z) (21).
- the transfer function H 1 (z) of the internal resistance in the second battery model is the transfer function H 0 (z) of the resistance R 0 defined by the relational expression (22) and the Warburg H 0 (z) defined by the relational expression (14).
- the transfer function H W (z) of the impedance W it is defined by the relational expression (26).
- H2 ( z) HW (z)+ H0 (z) (26).
- the approximation curve of the complex impedance Z of the secondary battery represented by the Nyquist plot indicated by the solid line in FIG. is obtained under the assumption that the transfer function H(z) of the equivalent circuit model of the internal resistance of is defined.
- the measured value of the open-circuit voltage OCV identifies the value of the open-circuit voltage OCV in the secondary battery model (see relational expression (21)).
- the second battery model is established as the secondary battery 220 as a reference secondary battery with various specifications or specifications based on the values of the parameters.
- the number of w 1 , w 2 , w 3 , r L , L) is less than "12".
- the parameters (w 1 , w 2 , w 3 ) that are part of the second model parameters and define the Warburg impedance W are the parameters that are part of the first model parameters and also define the Warburg impedance W ( w 1 , w 2 , w 3 ).
- the target device 200 it is determined whether or not the first condition is satisfied by the control device 210 in the energized state (FIG. 2/STEP 212).
- the "first condition" is that the target device 200 requests battery performance evaluation of the secondary battery 220 through the input interface 202, and that the target device 200 is connected to an external power source to charge the secondary battery 220.
- Conditions such as The battery performance evaluation apparatus 100 recognizes the identifier ID for identifying the specifications and/or specifications of the secondary battery 220 as the target secondary battery based on communication with the target device 200 at appropriate timing. .
- the sufficiency determination process for the first condition is executed again (Fig. 2/STEP 212).
- the sufficiency determination process for the first condition may be omitted.
- the specified current I(t) that changes with time in the manner shown in FIG. 220 (FIG. 2/STEP 214).
- the waveform signal of designated current I(t) may be designated by second recognition processing element 112 through mutual communication between battery performance evaluation apparatus 100 and target device 200 .
- a specified current I(t ) is input to the secondary battery 220 .
- the target device 200 may be equipped with an auxiliary power supply for generating the specified current.
- the control device 210 Based on the output signal of the sensor group 230, the control device 210 measures the voltage response characteristic V(t) and the temperature T of the secondary battery 220 (FIG. 2/STEP 216). Thereby, for example, the voltage response characteristic V(t) of the secondary battery 220 that changes as indicated by the solid line in FIG. 5B is measured.
- the controller 210 determines whether or not the second condition is satisfied (FIG. 2/STEP 218).
- the second condition is that a waveform signal sufficient to specify the voltage response characteristic V(t) has been acquired, and that a predetermined time has elapsed since the first point in time when it was finally determined that the first condition was satisfied.
- Conditions such as reaching the second point in time, and requesting battery performance evaluation of the secondary battery 220 through the input interface 202 in the target device 200 are adopted.
- the sufficiency determination process for the first condition is executed again (FIG. 2/STEP 212).
- the sufficiency determination process for the second condition may be omitted.
- the voltage response characteristic V(t) of the secondary battery 220 and the measurement result of the temperature T are transmitted to the transmitter constituting the output interface 204. is transmitted from the target device 200 to the battery performance evaluation device 100 (FIG. 2/STEP 220). Further, the measurement condition information for specifying the specified current I(t) input to the secondary battery 220 when the voltage response characteristic V(t) is measured is sent from the target device 200 to the battery performance evaluation apparatus 100. may be sent.
- the measurement results of the voltage response characteristic V(t) and the temperature T of the secondary battery 220 are recognized as the second measurement results by the second recognition processing element 112 (FIG. 2/STEP 122).
- the second arithmetic processing element 122 selects the identifier ID attached to the second measurement result and the measurement result of the temperature T included in the second measurement result from among a large number of secondary battery models registered in the database 10.
- a first battery model or a second battery model associated with each is selected (FIG. 2/STEP 124). If there is no first battery model for evaluating the performance of secondary battery 220 as the target secondary battery, or if there is a second battery model, the second battery model may be selected. When both the first battery model and the second battery model are present, either one of the battery models (for example, the first battery model with slightly superior performance evaluation accuracy) may be preferentially selected.
- the second arithmetic processing element 122 inputs the designated current I(t) to the selected first battery model or second battery model (FIG. 2/STEP 126).
- the specified current I(t) may be recognized based on the waveform signal specified by the second recognition processing element 112, and based on the measurement condition information transmitted from the target device 200 to the battery performance evaluation apparatus 100. may be recognized.
- the voltage response characteristic V model (t) output from the first battery model or the second battery model is specified by the second arithmetic processing element 122 as the output signal of the first battery model or the second battery model (Fig. 2/ STEP 128).
- the voltage response characteristic V model (t) of the second battery model which changes as indicated by the dashed line in FIG. 5B, is specified as the output signal of the secondary battery model.
- the battery performance evaluation element 130 generates deterioration diagnostic information Info(D(i)) corresponding to the degree of deterioration D(i) of the secondary battery 220 (FIG. 2/STEP 132). Diagnostic information Info (D(i)) is transmitted from the battery performance evaluation apparatus 100 to the target device 200 by the battery performance evaluation element 130 (FIG. 2/STEP 134).
- the deterioration diagnosis information Info (D(i)) is received by the receiving device that configures the input interface 202 (FIG. 2/STEP 222).
- the deterioration diagnosis information Info (D(i)) is output and displayed on the display device constituting the output interface 204 (FIG. 2/STEP 224).
- the degree of deterioration D A message regarding a countermeasure according to i is displayed on the display device.
- the first battery model and/or the second battery model are selected in consideration of the temperature T at the time of measuring the voltage response characteristic V(t) of each of the reference secondary battery and the target secondary battery. , the performance of the secondary battery 220 as the target secondary battery was evaluated.
- the specifications and the like of the target secondary battery are expressed without considering the temperature T at the time of measuring the voltage response characteristic V(t) of each of the reference secondary battery and the target secondary battery.
- a first battery model and/or a second battery model may be selected based on the identifier, and the performance of secondary battery 220 as the target secondary battery may be evaluated.
- the battery performance evaluation device 100 and the battery performance evaluation method executed by the battery performance evaluation device 100 according to the present invention As a battery model used for performance evaluation of the target secondary battery, depending on whether the specified condition is satisfied or not satisfied, A different battery model is established. Specifically, when the designated condition is satisfied, from the first battery model defined by the plurality of first model parameters (battery model determined when the designated condition is not satisfied), the first battery model A second battery model, which is a simple battery model defined by a smaller number of second model parameters, is established (see FIG. 2/STEP 114 . . . YES ⁇ STEP 118).
- the model parameters of the battery model used for evaluating the performance of the secondary battery 220 as the target secondary battery Reduction of the arithmetic processing load required for identification processing is achieved.
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Abstract
Description
参照二次電池のインピーダンスの測定結果を認識する第1認識処理要素と、
前記第1認識処理要素により認識された前記参照二次電池のインピーダンスの測定結果に基づき、指定条件が満たされていない場合には複数の第1モデルパラメータのそれぞれの値を同定することにより当該複数の第1モデルパラメータにより定義される第1電池モデルを確定し、前記指定条件が満たされている場合には前記複数の第1モデルパラメータよりも少数の複数の第2モデルパラメータのそれぞれの値を同定することにより当該複数の第2モデルパラメータにより定義される第2電池モデルを確定する第1演算処理要素と、
前記参照二次電池と同一諸元を有する対象二次電池に対して指定電流が入力された際に当該対象二次電池から出力される電圧の変化態様の計測結果としての実測出力電圧を認識する第2認識処理要素と、
前記第1演算処理要素により確定された前記第1電池モデルまたは前記第2電池モデルに対して、前記指定電流が入力された際に当該第1電池モデルまたは当該第2電池モデルから出力される電圧の変化態様としてのモデル出力電圧を特定する第2演算処理要素と、
前記第2認識処理要素により認識された前記実測出力電圧と前記第2演算処理要素により特定された前記モデル出力電圧との対比結果に基づき、前記対象二次電池の性能を評価する電池性能評価要素と、を備えている。
図1に示されている本発明の一実施形態としての電池性能評価装置100は、データベース10および対象機器200のそれぞれとネットワークを介して通信可能な一または複数のサーバにより構成されている。電池性能評価装置100は、対象機器200に電源として搭載されている二次電池220の性能を評価する。
後述の記載により、前記構成の電池性能評価装置100により実行される二次電池220(対象二次電池)の電池性能評価方法が説明される。
電池性能評価装置100における、第1認識処理要素111により、さまざまな種類の参照二次電池としての二次電池220の複素インピーダンスZなどのインピーダンスの測定結果が認識される(図2/STEP112)。参照二次電池の複素インピーダンスZは、交流インピーダンス法により測定され、当該測定結果は参照二次電池の種類を識別するための識別子と関連付けられてデータベース10に登録される。
電池性能評価装置100において、第1演算処理要素121により、指定条件が満たされているか否かが判定される(図2/STEP114)。指定条件は、例えば、対象二次電池としての二次電池220に対して印加される指定電流がサンプリング周波数より低い低周波電流成分により構成されているという条件である。例えば、図4Aに示されているナイキストプロットにおいて、-ImZ>0の領域の低周波数領域における約45°の直線状の立ち上がり箇所に相当する周波数(~1Hz)がサンプリング周波数として採用されていてもよい。例えば、二次電池220の充放電電流に相当する低周波電流成分により構成されている電流が指定電流に該当する。
対象機器200において、通電状態の制御装置210により第1条件が満たされているか否かが判定される(図2/STEP212)。「第1条件」としては、対象機器200において入力インターフェース202を通じて二次電池220の電池性能評価の要請があったこと、対象機器200が二次電池220の充電のために外部電源に接続されたことなどの条件が採用される。電池性能評価装置100により、対象機器200との適当なタイミングでの通信に基づき、対象二次電池としての二次電池220の諸元および/または仕様等を識別するための識別子IDが認識される。
前記実施形態では、参照二次電池および対象二次電池のそれぞれの電圧応答特性V(t)の測定時の温度Tが勘案されたうえで第1電池モデルおよび/または第2電池モデルが選定され、当該対象二次電池としての二次電池220の性能が評価された。一方で、他の実施形態として、参照二次電池および対象二次電池のそれぞれの電圧応答特性V(t)の測定時の温度Tが勘案されずに、対象二次電池の諸元等を表わす識別子に基づいて第1電池モデルおよび/または第2電池モデルが選定され、当該対象二次電池としての二次電池220の性能が評価されてもよい。
本発明に係る電池性能評価装置100およびこれにより実行される電池性能評価方法によれば、指定条件の充足および不充足の別に応じて、対象二次電池の性能評価のために用いられる電池モデルとして異なる電池モデルが確定される。具体的には、指定条件が満たされている場合、複数の第1モデルパラメータにより定義される第1電池モデル(指定条件が満たされていない場合に確定される電池モデル)から、第1電池モデルよりも少数の第2モデルパラメータにより定義されている簡素な電池モデルである第2電池モデルが確定される(図2/STEP114‥YES→STEP118参照)。このため、指定条件の充足性とは無関係に第1電池モデルが確立される場合と比較して、対象二次電池としての二次電池220の性能評価のために用いられる電池モデルのモデルパラメータの同定処理に要する演算処理負荷の低減が図られる。
Claims (4)
- 参照二次電池のインピーダンスの測定結果を認識する第1認識処理要素と、
前記第1認識処理要素により認識された前記参照二次電池のインピーダンスの測定結果に基づき、指定条件が満たされていない場合には複数の第1モデルパラメータのそれぞれの値を同定することにより当該複数の第1モデルパラメータにより定義される第1電池モデルを確定し、前記指定条件が満たされている場合には前記複数の第1モデルパラメータよりも少数の第2モデルパラメータのそれぞれの値を同定することにより当該複数の第2モデルパラメータにより定義される第2電池モデルを確定する第1演算処理要素と、
前記参照二次電池と同一諸元を有する対象二次電池に対して指定電流が入力された際に当該対象二次電池から出力される電圧の変化態様の計測結果としての実測出力電圧を認識する第2認識処理要素と、
前記第1演算処理要素により確定された前記第1電池モデルまたは前記第2電池モデルに対して、前記指定電流が入力された際に当該第1電池モデルまたは当該第2電池モデルから出力される電圧の変化態様としてのモデル出力電圧を特定する第2演算処理要素と、
前記第2認識処理要素により認識された前記実測出力電圧と前記第2演算処理要素により特定された前記モデル出力電圧との対比結果に基づき、前記対象二次電池の性能を評価する電池性能評価要素と、を備えている
電池性能評価装置。 - 請求項1に記載の電池性能評価装置において、
前記第1認識処理要素が、前記参照二次電池の異なる温度のそれぞれにおけるインピーダンスの測定結果を認識し、
前記第1演算処理要素が、前記第1認識処理要素により認識された前記参照二次電池の前記異なる温度のそれぞれにおけるインピーダンスの測定結果に基づき、前記指定条件が満たされていない場合には前記複数の第1モデルパラメータのそれぞれの値の温度依存性を特定することにより前記第1電池モデルを確定し、前記指定条件が満たされている場合には前記複数の第2モデルパラメータのそれぞれの値の温度依存性を特定することにより前記第2電池モデルを確定し、
前記第2認識処理要素が、前記対象二次電池の前記出力電圧に加えて当該対象二次電池の温度の計測結果を認識し、
前記第2演算処理要素が、前記第1演算処理要素により確定された前記第1電池モデルまたは前記第2電池モデルに対して、前記指定電流に加えて前記第2認識処理要素により認識された前記対象二次電池の温度の計測結果が入力された際の前記モデル出力電圧を特定する
電池性能評価装置。 - 請求項1または2に記載の電池性能評価装置において、
前記第1演算処理要素が、前記指定電流が基準周波数より低い低周波電流成分により構成されていること、および、前記第1演算処理要素の演算処理負荷が基準値以上であることのうち少なくとも1つを前記指定条件として前記第1電池モデルまたは前記第2電池モデルを確立する
電池性能評価装置。 - 参照二次電池のインピーダンスの測定結果を認識する第1認識処理過程と、
前記第1認識処理過程において認識された前記参照二次電池のインピーダンスの測定結果に基づき、指定条件が満たされていない場合には複数の第1モデルパラメータのそれぞれの値を同定することにより当該複数の第1モデルパラメータにより定義される第1電池モデルを確定し、前記指定条件が満たされている場合には前記複数の第1モデルパラメータよりも少数の第2モデルパラメータのそれぞれの値を同定することにより当該複数の第2モデルパラメータにより定義される第2電池モデルを確定する第1演算処理過程と、
前記参照二次電池と同一諸元を有する対象二次電池に対して指定電流が入力された際に当該対象二次電池から出力される電圧の変化態様の計測結果としての実測出力電圧を認識する第2認識処理過程と、
前記第1演算処理過程において確定された前記第1電池モデルまたは前記第2電池モデルに対して、前記指定電流が入力された際に当該第1電池モデルまたは当該第2電池モデルから出力される電圧の変化態様としてのモデル出力電圧を特定する第2演算処理過程と、
前記第2認識処理過程において認識された前記実測出力電圧と前記第2演算処理過程において特定された前記モデル出力電圧との対比結果に基づき、前記対象二次電池の性能を評価する電池性能評価過程と、を含んでいる
電池性能評価方法。
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0445554B2 (ja) | 1985-01-31 | 1992-07-27 | Lion Corp | |
JPH0542212B2 (ja) | 1986-08-27 | 1993-06-25 | Hitachi Ltd | |
JP2005524089A (ja) * | 2002-04-29 | 2005-08-11 | ケーデックス エレクトロニクス インコーポレイテッド | 電気化学システムをテストするマルチモデルシステム及び方法 |
JP2016023967A (ja) * | 2014-07-17 | 2016-02-08 | 日立オートモティブシステムズ株式会社 | 電池状態検知装置、二次電池システム、電池状態検知プログラム、電池状態検知方法 |
JP2016048617A (ja) * | 2014-08-27 | 2016-04-07 | 日本電気株式会社 | 情報処理装置、状態推定方法、及び、プログラム |
US20160124051A1 (en) * | 2014-10-29 | 2016-05-05 | Texas Instruments Incorporated | Battery fuel gauge |
JP2016211923A (ja) * | 2015-05-01 | 2016-12-15 | カルソニックカンセイ株式会社 | 充電量推定方法及び充電量推定装置 |
JP2018009939A (ja) * | 2016-07-15 | 2018-01-18 | 日立化成株式会社 | シミュレーション方法及びシミュレーション装置 |
US20180088181A1 (en) * | 2015-07-02 | 2018-03-29 | Huawei Technologies Co., Ltd. | Apparatus and method for detecting battery state of health |
JP2020153881A (ja) * | 2019-03-21 | 2020-09-24 | 古河電気工業株式会社 | 充電可能電池劣化推定装置および充電可能電池劣化推定方法 |
JP6842212B1 (ja) * | 2019-12-26 | 2021-03-17 | 東洋システム株式会社 | 電池性能評価方法および電池性能評価装置 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE112016002873T5 (de) * | 2015-06-26 | 2018-03-08 | Japan Aerospace Exploration Agency | Verfahren und System zum Schätzen eines Ladezustands oder einer Entladungstiefe von Batterien und Verfahren und System zur Beurteilung des Zustands von Batterien |
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Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0445554B2 (ja) | 1985-01-31 | 1992-07-27 | Lion Corp | |
JPH0542212B2 (ja) | 1986-08-27 | 1993-06-25 | Hitachi Ltd | |
JP2005524089A (ja) * | 2002-04-29 | 2005-08-11 | ケーデックス エレクトロニクス インコーポレイテッド | 電気化学システムをテストするマルチモデルシステム及び方法 |
JP2016023967A (ja) * | 2014-07-17 | 2016-02-08 | 日立オートモティブシステムズ株式会社 | 電池状態検知装置、二次電池システム、電池状態検知プログラム、電池状態検知方法 |
JP2016048617A (ja) * | 2014-08-27 | 2016-04-07 | 日本電気株式会社 | 情報処理装置、状態推定方法、及び、プログラム |
US20160124051A1 (en) * | 2014-10-29 | 2016-05-05 | Texas Instruments Incorporated | Battery fuel gauge |
JP2016211923A (ja) * | 2015-05-01 | 2016-12-15 | カルソニックカンセイ株式会社 | 充電量推定方法及び充電量推定装置 |
US20180088181A1 (en) * | 2015-07-02 | 2018-03-29 | Huawei Technologies Co., Ltd. | Apparatus and method for detecting battery state of health |
JP2018009939A (ja) * | 2016-07-15 | 2018-01-18 | 日立化成株式会社 | シミュレーション方法及びシミュレーション装置 |
JP2020153881A (ja) * | 2019-03-21 | 2020-09-24 | 古河電気工業株式会社 | 充電可能電池劣化推定装置および充電可能電池劣化推定方法 |
JP6842212B1 (ja) * | 2019-12-26 | 2021-03-17 | 東洋システム株式会社 | 電池性能評価方法および電池性能評価装置 |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117634226A (zh) * | 2024-01-25 | 2024-03-01 | 宁德时代新能源科技股份有限公司 | 电池设计方法、设备及存储介质 |
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