WO2018181624A1

WO2018181624A1 - Stored electricity amount estimating device, electricity storage module, stored electricity amount estimating method, and computer program

Info

Publication number: WO2018181624A1
Application number: PCT/JP2018/013057
Authority: WO
Inventors: 南鵜久森; 祐一池田
Original assignee: 株式会社Ｇｓユアサ
Priority date: 2017-03-29
Filing date: 2018-03-28
Publication date: 2018-10-04

Abstract

The objective of the present invention is to provide a stored electricity amount estimating device, an electricity storage module provided with said stored electricity amount estimating device, a stored electricity amount estimating method and a computer program with which it is possible to estimate an amount of electricity stored in an electricity storage element including an active material having a stored electricity amount - voltage value characteristic that exhibits hysteresis. A stored electricity amount estimating device (6) estimates a stored electricity amount of an electricity storage element (3) containing an active material in which at least two electrochemical reactions occur in accordance with a transition of charging and discharging, wherein hysteresis in a stored electricity amount - voltage value characteristic when one electrochemical reaction occurs is smaller than the hysteresis when the other electrochemical reaction occurs. The stored electricity amount estimating device (6) is provided with an estimating unit (62) which estimates the stored electricity amount on the basis of the stored electricity amount - voltage value characteristic if one of the electrochemical reactions occurs more frequently than the other electrochemical reaction.

Description

Storage amount estimation device, storage module, storage amount estimation method, and computer program

The present invention relates to a storage amount estimation device that estimates a storage amount such as SOC (State Of Charge) of a storage element, a storage module including the storage amount estimation device, a storage amount estimation method, and a computer program.

High capacity is required for secondary batteries for vehicles used in electric cars, hybrid cars, etc., and for industrial secondary batteries used in power storage devices, solar power generation systems, and the like. Various examinations and improvements have been made so far, and it is difficult to realize a higher capacity only by improving the electrode structure and the like. For this reason, development of a positive electrode material having a higher capacity than the current material is underway.

Conventionally, lithium transition metal composite oxides having an α-NaFeO ₂ type crystal structure have been studied as positive electrode active materials for non-aqueous electrolyte secondary batteries such as lithium ion secondary batteries, and non-aqueous electrolyte secondary batteries using LiCoO ₂ have been studied. Secondary batteries have been widely used. The discharge capacity of LiCoO ₂ was about 120 to 160 mAh / g.
When the lithium transition metal composite oxide is represented by LiMeO ₂ (Me is a transition metal), it has been desired to use Mn as Me. When Mn is included as Me, if the molar ratio Mn / Me in Me exceeds 0.5, the structure changes to a spinel type when charged and the crystal structure cannot be maintained. Cycle performance is extremely inferior.
Various LiMeO _{2 type} active materials in which the molar ratio Mn / Me in Me is 0.5 or less and the molar ratio Li / Me to Me is approximately 1 have been proposed and put to practical use. The positive electrode active material containing LiNi _1/2 Mn _1/2 O ₂ and LiNi _1/3 Co _1/3 Mn _1/3 O ₂ which are lithium transition metal composite oxides has a discharge capacity of 150 to 180 mAh / g. Have.

Lithium transition metal composite oxide in which Mn molar ratio Mn / Me in Me exceeds 0.5 and Li composition ratio Li / Me is greater than 1 with respect to the ratio of transition metal (Me) to LiMeO _{2 type} active material A so-called lithium-excess type active material containing is also known.

As the above-described high-capacity positive electrode material, a lithium-excess type Li ₂ MnO ₃ -based active material has been studied. This material has a property of hysteresis in which a voltage value and electrochemical characteristics with respect to the same SOC (State Of Charge) change depending on a charge history and a discharge history.

As a method of estimating the SOC in the secondary battery, the OCV method (refer to voltage) for determining the SOC based on the correlation (SOC-OCV curve) in which the OCV (Open Circuit Voltage) of the secondary battery and the SOC correspond one-to-one. And a current integration method in which the SOC is determined by integrating the charge / discharge current values of the secondary battery.

When using an electrode material having hysteresis, it is difficult to estimate the SOC by the OCV method because the voltage value is not uniquely determined with respect to the SOC. Since the SOC-OCV curve is not uniquely determined, it is difficult to predict the dischargeable energy at a certain point.

When calculating the SOC by the current integration method, the following equation (1) is used.
SOC _i = SOC _i-1 + I _i × Δt _i / Q × 100 (1)
SOC _i : This SOC
SOC _i-1 : Previous SOC
I: current value Δt: time interval Q: battery capacity (available capacity)

If the current integration is continued for a long time, current sensor measurement errors accumulate. Further, since the battery capacity decreases with time, the estimation error of the SOC estimated by the current integration method increases with time. Conventionally, when current integration is continued for a long time, the SOC is estimated by the OCV method, and OCV reset is performed to reset error accumulation.

Even in a power storage element using an electrode material having hysteresis, errors accumulate when current integration is continued. However, since the voltage value is not uniquely determined with respect to the SOC, it is difficult to estimate the SOC by the OCV method (to perform the OCV reset).
Therefore, it is difficult to accurately estimate the SOC in such a power storage element with the current SOC estimation technology.

In the secondary battery control device disclosed in Patent Document 1, the relationship between SOC and OCV in the discharging process is stored as discharging OCV information for each switching SOC, which is the SOC when switching from charging to discharging. The secondary battery control device is configured to calculate the SOC in the discharging process of the secondary battery based on the switching SOC at the time of actually switching from charging to discharging and the discharging OCV information.

JP 2013-105519 A

In the secondary battery control device of Patent Document 1, an SOC-OCV curve at the time of discharge is selected from the voltage value reached by charging, and the SOC is estimated based on the SOC-OCV curve and the current voltage value. In this secondary battery control device, the SOC cannot be estimated based on the voltage value of the charging process. When charging and discharging are repeated with a complicated pattern, the secondary battery cannot be monitored with high accuracy.

The present invention relates to a storage amount estimation device capable of estimating a storage amount of a storage element including an active material whose storage amount-voltage value characteristic exhibits hysteresis, a storage module including the storage amount estimation device, a storage amount estimation method, and a computer program. The purpose is to provide.
Here, the amount of power storage means SOC, the amount of electric power that can be discharged, and the like.

The storage amount estimation apparatus according to the present invention has two or more electrochemical reactions depending on the charge / discharge transition, and the hysteresis of the storage amount-voltage value characteristic when one electrochemical reaction occurs is A storage amount estimation device for estimating a storage amount of a storage element including an active material in at least one of a positive electrode and a negative electrode, which is smaller than the hysteresis when a reaction occurs, wherein the one electrochemical reaction is the other electrochemical reaction An estimator that estimates the charged amount based on the charged amount-voltage value characteristic when more frequently occurs is provided.
Here, “when one electrochemical reaction occurs” includes “when an electrochemical reaction occurs as a group simultaneously”. “When another electrochemical reaction occurs” includes “when an electrochemical reaction occurs as a group simultaneously”.

The inventors of the present application have found that in a power storage device using an electrode material having hysteresis, a reaction with a large hysteresis and a reaction with a small hysteresis occur substantially independently, and the above configuration is conceived. It came. This knowledge has not been known so far and has been newly found by the present inventors.
According to the present invention, the charged amount can be estimated based on the voltage value in any process of charging and discharging, and even when charging and discharging are repeated in a complicated pattern.
Since the voltage value is used, the amount of stored electricity is not limited to the SOC, and the amount of current energy stored in the battery, such as the amount of power, can be estimated. Based on the charge / discharge curve, the dischargeable energy up to SOC 0% and the charge energy required up to SOC 100% can be predicted.

It is a graph which shows the result of having calculated | required the relationship between the amount of electricity and charging / discharging voltage value about Li excess type | mold active material. It is a graph which shows transition of the K absorption edge energy of Ni of the Li excess type active material computed by X-ray absorption spectroscopy measurement (XAFS measurement) with respect to the electric quantity. It is a graph which shows transition of the K absorption edge energy of Ni at the time of charging / discharging. It is a graph which shows the result of having calculated | required the relationship between an electric charge and a charging / discharging voltage value about an electrical storage element provided with the negative electrode containing the active material which shows hysteresis. It is an example of the charging / discharging curve in the case where a region having a large hysteresis and a region having a small hysteresis appear alternately as the SOC increases. It is a perspective view which shows an example of an electrical storage module. It is a perspective view which shows the other example (battery module) of an electrical storage module. It is a disassembled perspective view of the battery module of FIG. It is a block diagram of a battery module. It is a flowchart which shows the procedure of the SOC estimation process by CPU. It is a flowchart which shows the procedure of the SOC estimation process by CPU. It is a graph which shows transition of the voltage value with respect to time at the time of charging / discharging. A graph showing the transition of the SOC calculated by voltage reference during the first discharge and the second charge until E3 V is reached, and during the second discharge from E1 V to the lower limit voltage value E0 V. is there. It is a graph which shows transition of SOC at the time of calculating SOC by electric current integration in transition of the charging / discharging voltage value of FIG. FIG. 13 is a graph showing a difference between when the SOC is estimated by referring to the voltage of the present embodiment and when the SOC is estimated by current integration when charging / discharging shown in FIG. 13 is a graph showing a difference between when an SOC is estimated by voltage reference and when an SOC is estimated by current integration when charging and discharging in a pattern different from that of FIG. 13 is a graph showing a difference between when an SOC is estimated by voltage reference and when an SOC is estimated by current integration when charging and discharging in a pattern different from that of FIG. FIG. 13 is a graph showing a difference between when the SOC is estimated by voltage reference and when the SOC is estimated by current integration when the charge / discharge shown in FIG. 12 is performed for a deteriorated battery. FIG. 17 is a graph showing a difference between when a SOC of a deteriorated battery is charged and discharged in the same pattern as in FIG. 16 and when SOC is estimated by voltage reference and when SOC is estimated by current integration. FIG. 18 is a graph showing a difference between when a SOC of a deteriorated battery is charged and discharged in the same pattern as in FIG. 17 and when SOC is estimated by voltage reference and when SOC is estimated by current integration. It is a flowchart which shows the procedure of the SOC estimation process by CPU. It is a flowchart which shows the procedure of the SOC estimation process by CPU.

Hereinafter, the present invention will be specifically described with reference to the drawings showing embodiments thereof.
(Outline of this embodiment)
The electrode body of the power storage device according to the present embodiment includes an active material having a stored power-voltage value characteristic having hysteresis.
Hereinafter, the case where the active material of the electricity storage element is a Li-rich LiMeO ₂ —Li ₂ MnO ₃ solid solution containing Ni and the amount of electricity stored is SOC will be described as an example.
FIG. 1 is a graph showing the results of determining the relationship between the amount of electricity and the charge / discharge voltage value for this Li-excess type active material using a lithium cell of the counter electrode Li. The horizontal axis represents the amount of electricity (mAh / g), and the vertical axis represents the charge / discharge voltage value (VvsLi / Li ⁺ : Li / Li ⁺ potential difference based on the equilibrium potential). Here, the amount of electricity corresponds to the SOC.
As shown in FIG. 1, the voltage value differs between an increase (charge) and a decrease (discharge) of the SOC. That is, the voltage values for the same SOC are different and have hysteresis. In the case of this active material, the potential difference with respect to the same SOC is smaller in the high SOC region than in the low SOC region, and the hysteresis is small.

In the present embodiment, an area where the hysteresis is small and the SOC can be estimated from the voltage value using the SOC-OCV curve is determined, and the SOC is estimated in the area.
FIG. 2 is a graph showing the transition of the K absorption edge energy of Ni of the Li-rich active material calculated by X-ray absorption spectroscopy measurement (XAFS measurement) with respect to the amount of electricity. The horizontal axis represents the amount of electricity (mAh / g), and the vertical axis represents the K absorption edge energy E ₀ (eV) of Ni.
FIG. 3 is a graph showing the transition of the K absorption edge energy of Ni during charging and discharging. The horizontal axis represents the charge / discharge voltage value (VvsLi / Li ⁺ ), and the vertical axis represents the K absorption edge energy E ₀ (eV) of Ni.

As shown in FIG. 2, in the high SOC region, the K absorption edge energy transition of Ni in the charge reaction does not coincide with the energy transition of the discharge reaction. In the low SOC region, the energy transition of the discharge reaction does not coincide with the energy transition of the charge reaction. That is, it can be seen that a redox reaction other than Ni that has hysteresis occurs mainly (this reaction is A reaction). The reaction A is an oxidation reaction in the high SOC region and a reduction reaction in the low SOC region.
In the middle SOC region, the K absorption edge energy of Ni in the charge reaction and the discharge reaction changes substantially linearly with respect to the SOC.

As shown in FIG. 3, in the high SOC region where the charge / discharge voltage value is approximately 3.7 to 4.5 V, the K absorption edge energy of Ni is substantially the same between charge and discharge. When the K absorption edge energies of Ni are the same, that is, the valence of Ni is equal, and in this voltage range, the valence change of Ni corresponds to a voltage value of approximately 1: 1, and Ni is reversible. It is thought that it is reacting. That is, in the SOC region, a redox reaction with a small hysteresis indicated by the SOC-OCP characteristic is mainly generated (this reaction is referred to as B reaction). OCP means open circuit potential.
In the SOC region, the reaction amount of B is larger than the reaction amount of A, and as a result, the hysteresis is smaller than that in the low SOC region.

In the present embodiment, the lower voltage value (lower limit voltage value) in the region where the reaction of B mainly occurs is obtained by experiments. At the lower limit voltage value, the presence or absence of hysteresis is substantially switched. The oxidation amount and reduction amount of the reaction of B are considered to be small.
Then, when it is determined that the charged state or the discharged state is in a region corresponding to a voltage region equal to or higher than the lower limit voltage value based on the increase / decrease of the voltage value, the SOC is estimated by voltage reference based on the reached voltage value.
Here, the description is given focusing on only the oxidation-reduction reaction of Ni, but the reaction of B is not limited to the oxidation-reduction reaction of Ni. The reaction B is a reaction in which the hysteresis of the storage amount-voltage value characteristic is small among one or a group of reactions caused by the active material according to the transition of charge / discharge.

Next, the case where the negative electrode of the power storage element includes an active material having a large hysteresis will be described. As an example, a case where the negative electrode includes SiO and graphite as active materials is given. The hysteresis when the electrochemical reaction of SiO occurs is larger than the hysteresis when the electrochemical reaction of graphite occurs.
FIG. 4 is a graph showing the results of determining the relationship between the amount of electricity and the charge / discharge voltage value using a lithium cell of the counter electrode Li for this power storage element. The horizontal axis represents the amount of electricity (mAh / g), and the vertical axis represents the charge / discharge voltage value (VvsLi / Li ⁺ : Li / Li ⁺ potential difference based on the equilibrium potential). Here, the amount of electricity corresponds to the SOC.
As shown in FIG. 4, the voltage value differs between the charge curve and the discharge curve. That is, the voltage values for the same SOC are different and have hysteresis. In the case of this active material, the potential difference with respect to the same SOC is smaller in the high SOC region than in the low SOC region, and the hysteresis is small.

FIG. 5 is a charge / discharge curve in a case where a region having a large hysteresis and a region having a small hysteresis appear alternately as the SOC (or voltage value) increases. The horizontal axis represents SOC (%), and the vertical axis represents voltage value (V).
When the positive electrode includes a plurality of Li-rich active materials having different compositions, when the negative electrode includes a plurality of active materials having a large hysteresis, and when each of the positive electrode and the negative electrode includes an active material having a large hysteresis, a region where the hysteresis is large and a region where the hysteresis is small May appear alternately or may overlap.

In the region (2) where the voltage value is a to b in FIG. 5, the hysteresis is smaller than in the region (1) where the voltage value is a or less. In the region (2), a reaction of C having a large hysteresis and a reaction of D having a small hysteresis occur. Since the reaction amount of D is large in the region (2), the hysteresis is smaller than that in the region (1) as a result.
In the region (4) where the voltage value is c or more in FIG. 5, the hysteresis is smaller than in the region (3) where the voltage value is b to c. In the region (4), the reaction of E having a large hysteresis and the reaction of F having a small hysteresis occur. Since the reaction amount of E is large in the region (4), the hysteresis is smaller than that in the region (3) as a result.

The lower limit voltage value a of the region (2) and the lower limit voltage value c of the region (4) are obtained by experiments. When it is determined that the charged state or the discharged state is in the region (2) corresponding to the voltage region above the lower limit voltage value a based on the rise and fall of the voltage value, and the region corresponding to the voltage region above the lower limit voltage value c When it determines with it being in (4), each SOC is estimated by voltage reference based on the ultimate voltage value mentioned later.

The voltage value region is not limited to the case where the voltage value region is divided into two or four regions as described above. Depending on the active material of the positive electrode or the negative electrode, when a plurality of electrochemical reactions occur and a region having a large hysteresis and a region having a small hysteresis appear alternately, in a region where the SOC is relatively high and the hysteresis is small, the SOC is referred by voltage reference. Is estimated.

(Embodiment 1)
Hereinafter, as the first embodiment, a power storage module mounted on a vehicle will be described as an example.
FIG. 6 shows an example of a power storage module. The power storage module 50 includes a plurality of power storage elements 200, a monitoring device 100, and a storage case 300 that stores them. The power storage module 50 may be used as a power source for an electric vehicle (EV) or a plug-in hybrid electric vehicle (PHEV).
The power storage element 200 is not limited to a square cell, and may be a cylindrical cell or a pouch cell.
The monitoring device 100 may be a circuit board arranged to face the plurality of power storage elements 200. Monitoring device 100 monitors the state of power storage element 200. The monitoring device 100 may be a storage amount estimation device. Alternatively, a computer or server that is wired or wirelessly connected to the monitoring device 100 may execute the storage amount estimation method based on information output from the monitoring device 100.

FIG. 7 shows another example of the power storage module. The power storage module (hereinafter referred to as a battery module) 1 may be a 12-volt power source or a 48-volt power source that is suitably mounted on an engine vehicle. 7 is a perspective view of the battery module 1 for 12V power supply, FIG. 8 is an exploded perspective view of the battery module 1, and FIG. 9 is a block diagram of the battery module 1.
The battery module 1 has a rectangular parallelepiped case 2. The case 2 houses a plurality of lithium ion secondary batteries (hereinafter referred to as batteries) 3, a plurality of bus bars 4, a BMU (Battery Management Unit) 6, and a current sensor 7.

The battery 3 includes a rectangular parallelepiped case 31 and a pair of

terminals

32 and 32 provided on one side of the case 31 and having different polarities. The case 31 accommodates an electrode body 33 in which a positive electrode plate, a separator, and a negative electrode plate are stacked.

At least one of the positive electrode active material included in the positive electrode plate of the electrode body 33 and the negative electrode active material included in the negative electrode plate causes two or more electrochemical reactions depending on the transition of charge / discharge. The hysteresis of the charged amount-voltage value characteristic shown when one electrochemical reaction occurs is smaller than the hysteresis when the other electrochemical reaction occurs.
As the positive electrode active material, LiMeO _₂ -Li ₂ MnO ₃ solid solution described above, Li _₂ O-LiMeO ₂ solid solution, Li ₃ NbO ₄ -LiMeO ₂ solid solution, Li ₄ WO ₅ -LiMeO ₂ solid solution, Li ₄ TeO ₅ -LiMeO ₂ solid solution, Li ₃ SbO ₄ -LiFeO ₂ solid solution, Li _₂ RuO ₃ -LiMeO ₂ solid solution, and a Li-excess active material such as Li _₂ RuO _₃ -Li ₂ MeO ₃ solid solution. Examples of the negative electrode active material include metals or alloys such as hard carbon, Si, Sn, Cd, Zn, Al, Bi, Pb, Ge, and Ag, or chalcogenides containing these. An example of a chalcogenide is SiO. The technology of the present invention is applicable as long as at least one of these positive electrode active materials and negative electrode active materials is included.

Case 2 is made of synthetic resin. The case 2 includes a case main body 21, a lid portion 22 that closes the opening of the case main body 21, a BMU housing portion 23 provided on the outer surface of the lid portion 22, a cover 24 that covers the BMU housing portion 23, and an inner lid 25 and a partition plate 26. The inner lid 25 and the partition plate 26 may not be provided.
The battery 3 is inserted between the partition plates 26 of the case body 21.

A plurality of metal bus bars 4 are placed on the inner lid 25. The inner lid 25 is arranged on the terminal surface on which the terminal 32 of the battery 3 is provided, the adjacent terminals 32 of the adjacent batteries 3 are connected by the bus bar 4, and the batteries 3 are connected in series.

The BMU accommodating portion 23 has a box shape, and has a protruding portion 23a protruding in a square shape on the outer side at the central portion of the long side surface. A pair of

external terminals

5 and 5 made of a metal such as a lead alloy and having different polarities are provided on both sides of the protruding portion 23a of the lid portion 22. The BMU 6 includes an information processing unit 60, a voltage measurement unit 8, and a current measurement unit 9 mounted on a substrate. The battery 3 and the BMU 6 are connected by accommodating the BMU 6 in the BMU accommodating part 23 and covering the BMU accommodating part 23 with the cover 24.

As illustrated in FIG. 9, the information processing unit 60 includes a CPU 62 and a memory 63.
The memory 63 stores an SOC estimation program 63a according to the present embodiment and a table 63b in which a plurality of SOC-OCV curves (data) are stored. The SOC estimation program 63a is provided in a state stored in a computer-readable recording medium 70 such as a CD-ROM, DVD-ROM, or USB memory, and is stored in the memory 63 by being installed in the BMU 6. Alternatively, the SOC estimation program 63a may be acquired from an external computer (not shown) connected to the communication network and stored in the memory 63.
The CPU 62 executes an SOC estimation process to be described later in accordance with the SOC estimation program 63a read from the memory 63.

The voltage measuring unit 8 is connected to both ends of the battery 3 via voltage detection lines, and measures the voltage value of each battery 3 at predetermined time intervals.
The current measuring unit 9 measures the current value flowing through the battery 3 via the current sensor 7 at predetermined time intervals.

External terminals

5 and 5 of the battery module 1 are connected to a load 11 such as an engine starter motor and electrical components.
The ECU (Electronic Control Unit) 10 is connected to the BMU 6 and the load 11.

Hereinafter, the above-described one active material will be described on the assumption that a large amount of the reaction B occurs at SOC of 40% or more and the corresponding lower limit voltage value is E0V in charge / discharge experiments. A region where the SOC is 40% or more and the SOC is high corresponds to the first region.

When OCV can be measured as the lower limit voltage value, the lower limit voltage value may be constant. When CCV (Closed Circuit Voltage) is measured as the lower limit voltage value, it may be updated by lowering the lower limit voltage value in accordance with the degree of deterioration associated with the use of the storage element. Causes of deterioration of the power storage element include an increase in internal resistance and an increase in deviation in capacity balance. The difference in capacity balance is, for example, that a difference occurs between the amount of side reactions other than charge / discharge reactions at the positive electrode and the amount of side reactions other than charge / discharge reactions at the negative electrode, so that one of the positive electrode and the negative electrode is completely Means that the positive and negative electrodes have different capacities in which charged ions can enter and leave the electrode reversibly. In a general lithium ion battery, since the amount of side reaction at the positive electrode is smaller than the amount of side reaction at the negative electrode, if the “displacement of capacity balance” increases, the negative electrode cannot be fully charged and The amount of electricity that can be reversibly taken out decreases.

After the battery is charged and the voltage value exceeds the lower limit voltage value, the maximum voltage value reached is taken as the reached voltage value.
A table 63b of the memory 63 stores a plurality of SOC-OCV curves from the lower limit voltage value to a plurality of ultimate voltage values. For example, the SOC-OCV curve b from the lower limit voltage value E0 V to the ultimate voltage value E1 V, the SOC-OCV curve c from the lower limit voltage value E0 V to the ultimate voltage value E2 V, and the lower limit voltage value E0 V to the ultimate voltage value E3 V The SOC-OCV curve d up to is stored. Here, E1>E2> E3. Note that the SOC-OCV curves b, c, and d are not shown in the figure, although they are also referred to in a comparative test described later. In the table 63b, SOC-OCV curves corresponding to all reached voltage values are stored continuously, not discretely. Instead of storing continuously, based on adjacent SOC-OCV curves, a curve to be positioned between the curves may be obtained by interpolation calculation, and the SOC may be estimated from the voltage value and the curve.

Hereinafter, a method for obtaining the SOC-OCV curve for voltage reference will be described.
A discharge OCV curve and a charge OCV curve are obtained for each SOC (%) where the SOC is 40% to 100% when each SOC (%) is changed from 40% to 100%. The discharge OCV curve can be obtained by passing a minute current in the discharge direction and measuring the voltage value at that time. Alternatively, a voltage value with a stable voltage value is measured by discharging from the charged state to each SOC and stopping. Similarly, the charging OCV curve can be obtained by performing the above measurement in the charging direction. Even when the SOC is 40% or more, since the active material has a slight hysteresis, it is preferable to use an OCV curve obtained by averaging the discharge OCV curve and the charge OCV curve. A discharge OCV curve and a charge OCV curve, or those obtained by correcting them may be used.
Note that the discharge OCP curve and the charge OCP curve may be obtained first, and then corrected to the SOC-OCV curve for battery 3 voltage reference.
The SOC-OCV curve may be stored in the table 63b in advance, and may be updated at predetermined time intervals in consideration of deterioration of the battery 3.
The SOC-OCV curve is not limited to being stored in the table 63b, and may be stored in the memory 63 as an intermediate expression.

Hereinafter, the SOC estimation method according to the present embodiment will be described.
10 and 11 are flowcharts showing the procedure of the SOC estimation process performed by the CPU 62. The CPU 62 repeats the processing from S1 at a predetermined or appropriate time interval.
CPU62 acquires the voltage value and electric current value between the terminals of the battery 3 (S1). Since the lower limit voltage value and the ultimate voltage value described later are OCV, it is necessary to correct the acquired voltage value to OCV when the current amount of the battery 3 is large. The correction value to OCV is obtained by estimating the voltage value when the current value is zero using a regression line from a plurality of voltage value and current value data. When the amount of current flowing through the battery 3 is as small as a dark current (the minute current of claim 6), the acquired voltage value can be regarded as OCV.

CPU62 determines whether the absolute value of an electric current value is more than a threshold value (S2). The threshold value is set in order to determine whether the state of the battery 3 is a charged state, a discharged state, or a resting state. If the CPU 62 determines that the absolute value of the current value is not equal to or greater than the threshold value (S2: NO), the process proceeds to S13.

When the CPU 62 determines that the absolute value of the current value is greater than or equal to the threshold (S2: YES), the CPU 62 determines whether the current value is greater than 0 (S3). When the current value is larger than 0, it can be determined that the state of the battery 3 is the charged state. If the CPU 62 determines that the current value is not greater than 0 (S3: NO), the process proceeds to S9.

When the CPU 62 determines that the current value is greater than 0 (S3: YES), it determines whether the voltage value is equal to or higher than the lower limit voltage value (S4). If the CPU 62 determines that the voltage value is not greater than or equal to the lower limit voltage value (S4: NO), the process proceeds to S8.

If the CPU 62 determines that the voltage value is greater than or equal to the lower limit voltage value (S4: YES), the CPU 62 turns on the voltage reference flag (S5).
The CPU 62 determines whether or not the acquired voltage value is larger than the previous reached voltage value (S6). If the CPU 62 determines that the voltage value is not greater than the previous reached voltage value (S6: NO), the process proceeds to S8.

When the CPU 62 determines that the voltage value is larger than the previous ultimate voltage value (S6: YES), the CPU 62 updates the voltage value to the ultimate voltage value in the memory 63 (S7).
CPU62 estimates SOC by electric current integration (S8), and complete | finishes a process.

If the CPU 62 determines that the current value is less than 0 and the state of the battery 3 is a discharged state, it determines whether or not the voltage value is less than the lower limit voltage value in S9 (S9). If the CPU 62 determines that the voltage value is not less than the lower limit voltage value (S9: NO), the process proceeds to S12.
When the CPU 62 determines that the voltage value is less than the lower limit voltage value (S9: YES), the CPU 62 turns off the voltage reference flag (S10).
The CPU 62 resets the ultimate voltage value (S11).
The CPU 62 estimates the SOC by current integration (S12) and ends the process.

When the CPU 62 determines that the absolute value of the current value is less than the threshold value and the battery 3 is in the resting state, the CPU 62 determines whether or not the voltage reference flag is on (S13). If the CPU 62 determines that the voltage reference flag is not on (S13: NO), the process proceeds to S16.

When the CPU 62 determines that the voltage reference flag is on (S13: YES), the CPU 62 determines whether or not the set time has elapsed since it was determined to be in the dormant state in the previous S2 (S14). As the set time, a sufficient time for considering the acquired voltage value as the OCV is obtained in advance by an experiment. It is determined whether or not the time has been exceeded based on the number of acquisitions and the acquisition interval of the current value after determining that it is in a resting state. Thereby, the SOC can be estimated with higher accuracy in the resting state.
If the CPU 62 determines that the set time has not elapsed (S14: NO), the process proceeds to S16.
In S16, the CPU 62 estimates the SOC by current integration and ends the process.

When the CPU 62 determines that the set time has elapsed (S14: YES), the acquired voltage value can be regarded as the OCV, and the SOC is estimated by referring to the voltage (S15), and the process is terminated. The CPU 62 selects one SOC-OCV curve from the table 63b based on the ultimate voltage value stored in the memory 63. When charging / discharging is repeated, the voltage value rises and falls, that is, the high inflection point among the inflection points switched from charging to discharging is set to the ultimate voltage value. In the SOC-OCV curve, the SOC corresponding to the voltage value acquired in S1 is read.

Note that the voltage value acquired by the CPU 62 from the voltage measuring unit 8 varies somewhat depending on the current value. Therefore, the voltage value can be corrected by obtaining a correction coefficient through experiments.

Hereinafter, the result of comparing the difference between the SOC estimation based on the voltage reference according to the present embodiment and the SOC estimation based on the conventional current integration when charging / discharging is repeated will be described.
FIG. 12 is a graph showing the transition of the voltage value with respect to time during charging and discharging. The horizontal axis represents time (seconds), and the vertical axis represents the charge / discharge voltage value (VvsLi / Li ⁺ ). In addition, since the present Example is performing charging / discharging by a very small electric current, it has confirmed that the voltage value during electricity supply shows the substantially same value as OCV.
As shown in FIG. 12, after the first charge was performed and the voltage value exceeded the lower limit voltage value E0 V and reached E3 V, the first discharge was performed. After the voltage value reached E0 V, the second charge was performed, the voltage value reached E1 V, and then the second discharge was performed.

In the memory 63, E3V is stored as the first reached voltage value. The reached voltage value is updated when it exceeds E3 超え V in the second charge. The SOC-OCV curve d is used until E3 V is reached in the first discharge and the second charge. Another SOC-OCV curve stored in the table 63b is used between E3 V and E1 V in the second charge. The SOC-OCV curve b is used between E1 V of the second discharge and the lower limit voltage value E0 V.

FIG. 13 shows the transition of the SOC calculated by voltage reference during the first discharge and the second charge until E3 V is reached, and between the second discharge E3 V and the lower limit voltage E0 V. Shown in
FIG. 14 shows the transition of the SOC when the SOC is calculated by current integration in the transition of the charge / discharge voltage value of FIG.

FIG. 15 shows the difference between when the SOC is estimated by referring to the voltage of the present embodiment and when the SOC is estimated by conventional current integration when the charge / discharge shown in FIG. It is a graph which shows. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%). The estimation of the SOC by current integration as a control confirms the discharge capacity in advance and uses a highly accurate ammeter, so the discharge capacity of Q and the current value of I in equation (1) are accurate. is there. It is thought that it approximates the true value.
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using the SOC-OCV curves d and b, and g is a difference. The difference was obtained by (SOC calculated by voltage reference) − (SOC calculated by current integration).
FIG. 15 shows that the difference is less than about ± 4% and is small.

FIG. 16 is a graph showing a difference between when the SOC is estimated by voltage reference and when the SOC is estimated by current integration when the battery 3 of the initial product is charged and discharged in a pattern different from that of FIG. is there. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%).
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using the SOC-OCV curves c and b, and g is a difference.
It can be seen from FIG. 16 that the difference is less than about ± 3% and is small.

FIG. 17 is a graph showing the difference between when the SOC is estimated by voltage reference and when the SOC is estimated by current integration when the battery 3 of the initial product is charged and discharged in a pattern different from that of FIG. is there. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%).
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using the SOC-OCV curve b, and g is a difference.
FIG. 17 shows that the difference is less than about ± 5% and is small.
From the above, it was confirmed that the SOC estimation based on the voltage reference of the present embodiment has a small error and high accuracy from the SOC estimation based on the current integration of the control.

FIG. 18 is a graph showing a difference between when the SOC is estimated by referring to the voltage and when the SOC is estimated by current integration when the charge / discharge shown in FIG. 12 is performed for the deteriorated battery 3. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%). In the table 63b, an SOC-OCV curve of a deteriorated product is also obtained by experiment and stored. Alternatively, as described above, the SOC-OCV curve is updated at predetermined time intervals.
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using a SOC-OCV curve of a deteriorated product, and g is a difference.
FIG. 18 shows that the difference is less than about ± 4% and is small.

FIG. 19 is a graph showing the difference between when the SOC is estimated by voltage reference and when the SOC is estimated by current integration, when charging and discharging the same pattern as in FIG. It is. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%).
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using a SOC-OCV curve of a deteriorated product, and g is a difference.
FIG. 19 shows that the difference is less than about ± 4% and is small.

FIG. 20 is a graph showing a difference between when the SOC is estimated based on voltage reference and when the SOC is estimated by current integration when charging / discharging in the same pattern as in FIG. It is. The horizontal axis represents time (seconds), the left vertical axis represents SOC (%), and the right vertical axis represents the difference (%).
In the figure, e is a transition of SOC obtained by current integration, f is a transition of SOC obtained by voltage reference using a SOC-OCV curve of a deteriorated product, and g is a difference.
FIG. 20 shows that the difference is less than about ± 5% and is small.
From the above, it was confirmed that the SOC estimation based on the voltage reference of the present embodiment has a small error and high accuracy even in the deteriorated battery 3 with the SOC estimation based on the current integration of the control.

As described above, in the present embodiment, the hysteresis is small (substantially no hysteresis), and the SOC is calculated based on the SOC-OCV curve and the current voltage value in the range from the lower limit voltage value to the reached voltage value. Since the estimation is performed, the accuracy of the estimation of the SOC is good. Therefore, the OCV reset can be performed with high accuracy.
The SOC can be estimated in both charging and discharging. By selecting the SOC-OCV curve based on the set reached voltage value, when charging / discharging is repeated in a complicated pattern, the SOC can be estimated based only on the voltage value history. Further, only when the acquired voltage value exceeds the previous reached voltage value, the reached voltage value is updated, so that the SOC-OCV curve is selected based on the final voltage value at the time of charging with higher accuracy. The SOC can be estimated.

Since it can be estimated from the SOC-OCV curve, the amount of electricity stored is not limited to SOC, and the amount of current energy stored in the battery 3 such as the amount of power can be estimated.
In the comparative test described above, only three SOC-OCV curves corresponding to different ultimate voltage values are used. When charging from the ultimate voltage value to a voltage value of SOC 100%, the SOC cannot be calculated by voltage reference. As described above, the SOC-OCV curve corresponding to all the reached voltage values is continuously stored in the table 63b, or the SOC-OCV curve between the curves is calculated by interpolation, thereby calculating the SOC. Can also be estimated by voltage reference.

When the interval of acquiring the voltage value and current value of S1 is low, it is possible to estimate the SOC by calculating the SOC-OCV curve between the curves without requiring many SOC-OCV curves.
When the interval of acquiring the voltage value and current value of S1 is high, it is preferable to store many SOC-OCV curves in the table 63b. In this case, the SOC can be estimated with high accuracy.

(Embodiment 2)
In the second embodiment, a case where the SOC is estimated in real time will be described. The configuration is the same as that of the first embodiment except that the SOC estimation process by the CPU 62 is different.
Hereinafter, the SOC estimation process by the CPU 62 of the present embodiment will be described.

21 and 22 are flowcharts showing the procedure of the SOC estimation process performed by the CPU 62. The CPU 62 repeats the processing from S21 at a predetermined interval.
CPU62 acquires the voltage value and electric current value between the terminals of the battery 3 (S21).
CPU62 determines whether the absolute value of an electric current value is more than a threshold value (S22). The threshold value is set in order to determine whether the state of the battery 3 is a charged state, a discharged state, or a resting state. If the CPU 62 determines that the absolute value of the current value is not equal to or greater than the threshold value (S22: NO), the process proceeds to S33.

When the CPU 62 determines that the absolute value of the current value is equal to or greater than the threshold value (S22: YES), the CPU 62 determines whether the current value is greater than 0 (S23). When the current value is larger than 0, the battery 3 is in a charged state. If the CPU 62 determines that the current value is not greater than 0 (S23: NO), the process proceeds to S29.
When determining that the current value is larger than 0 (S23: YES), the CPU 62 determines whether or not the voltage value is larger than the previous reached voltage value (S24). If the CPU 62 determines that the voltage value is not greater than the previous voltage value (S24: NO), the process proceeds to S26.

When the CPU 62 determines that the voltage value is larger than the previous reached voltage value (S24: YES), the CPU 62 updates the voltage value to the reached voltage value (S25).
CPU62 determines whether a voltage value is more than a lower limit voltage value (S26). If the CPU 62 determines that the voltage value is not greater than or equal to the lower limit voltage value (S26: NO), the CPU 62 estimates the SOC by current integration (S28) and ends the process.

When the CPU 62 determines that the voltage value is equal to or higher than the lower limit voltage value (S26: YES), the CPU 62 estimates the SOC by referring to the voltage (S27), and ends the process.

The table 63b stores a plurality of SOC-OCV curves from the lower limit voltage to a plurality of ultimate voltages. The CPU 62 selects an SOC-OCV curve corresponding to the stored reached voltage value, and reads the SOC from the current OCV in the SOC-OCV curve. The CPU 62 calculates the current OCV from the voltage value and current value acquired in S21. The OCV can be calculated by estimating a voltage value when the current value is zero using a regression line from a plurality of voltage value and current value data. When the current value is as small as the dark current value, the acquired voltage value can be read as OCV.

If the CPU 62 determines that the current value is smaller than 0 and the state of the battery 3 is a discharged state, it determines whether or not the voltage value is equal to or higher than the lower limit voltage value in S29 (S29).
When the CPU 62 determines that the voltage value is equal to or higher than the lower limit voltage value (S29: YES), the CPU 62 estimates the SOC by referring to the voltage in the same manner as described above (S30).
When the CPU 62 determines that the voltage value is not equal to or higher than the lower limit voltage value (S29: NO), the CPU 62 resets the ultimate voltage value (S31).
The CPU 62 estimates the SOC by current integration (S32) and ends the process.

When the CPU 62 determines that the absolute value of the current value is less than the threshold value and the battery 3 is in the resting state, the CPU 62 determines whether or not the voltage value is equal to or higher than the lower limit voltage value (S33). If the CPU 62 determines that the voltage value is not greater than or equal to the lower limit voltage value (S33: NO), the process proceeds to S36.
When the CPU 62 determines that the voltage value is equal to or higher than the lower limit voltage value (S33: YES), the CPU 62 determines whether or not the set time has elapsed since the last time that it was determined to be in the dormant state in S22 (S34). As the set time, a sufficient time for considering the acquired voltage value as the OCV is obtained in advance by an experiment.
If the CPU 62 determines that the set time has not elapsed (S34: NO), the process proceeds to S36.
The CPU 62 estimates the SOC by current integration (S36) and ends the process.

When the CPU 62 determines that the set time has elapsed (S34: YES), the acquired voltage value can be regarded as an OCV, and the SOC is estimated by referring to the voltage in the same manner as described above (S35), and the process ends.

In the present embodiment, the SOC can be estimated in real time during charge / discharge.
In the present embodiment, the SOC is estimated based on the SOC-OCV curve and the current voltage value in the range from the lower limit voltage value to the ultimate voltage value that is substantially free of hysteresis. Therefore, the accuracy of SOC estimation is good.
The SOC can be estimated in both charging and discharging. Even when charging / discharging is repeated in a complicated pattern, the SOC can be estimated only from the history of the voltage value.
Since the voltage value can be used, the amount of stored electricity is not limited to the SOC, and the amount of current energy stored in the battery 3 such as the amount of power can be estimated.

As described above, two or more electrochemical reactions occur according to the charge / discharge transition, and the hysteresis of the storage amount-voltage value characteristic shown when one electrochemical reaction occurs is the case where another electrochemical reaction occurs. A storage amount estimation device that estimates a storage amount of a storage element that includes an active material in at least one of a positive electrode and a negative electrode that is smaller than the hysteresis, and when the one electrochemical reaction occurs more than the other electrochemical reaction And an estimation unit for estimating the storage amount based on the storage amount-voltage value characteristic.

The storage amount estimation device is a storage amount-voltage in the case where one electrochemical reaction occurs more (mainly) than the other electrochemical reaction in which the change in voltage value with respect to the storage amount is substantially the same between charge and discharge. The amount of stored electricity is estimated based on the value characteristics. Therefore, the accuracy of estimating the amount of stored electricity is good. It is possible to satisfactorily estimate the amount of electricity stored in an electricity storage element having an active material having a high capacity and having an electricity storage amount-voltage value characteristic showing hysteresis.
In both charging and discharging, the charged amount can be estimated. Even when charging / discharging is repeated in a complicated pattern, the amount of stored electricity can be estimated only from the history of voltage values.
Since the voltage value can be used, the amount of electricity stored is not limited to the SOC, and the amount of current energy stored in the electricity storage element such as the amount of power can be estimated. Based on the charge / discharge curve, the dischargeable energy up to SOC 0% and the charge energy required up to SOC 100% can be predicted.

In the power storage amount estimation device described above, the power storage amount-voltage value characteristic includes a first region where the power storage amount is relatively high and a second region where the power storage amount is relatively low, and the estimation unit includes: It is preferable that the charged amount is estimated based on a charged amount-voltage value characteristic of the first region.

In the second region where the storage amount is relatively low, the other electrochemical reaction is likely to occur, and the storage amount-voltage value characteristic shows hysteresis. In the above configuration, the amount of charge is estimated based on the amount of charge-voltage value characteristic of the first region on the side where the amount of charge is relatively high, so the estimation accuracy is good.

The storage amount estimation device is a storage amount estimation device that estimates a storage amount of a storage element including an active material whose storage amount-voltage value characteristic exhibits hysteresis, and a plurality of lower limit voltage values at which the presence or absence of the hysteresis is substantially switched. A holding unit that holds a plurality of stored charge amount-voltage value characteristics up to the ultimate voltage value, a voltage acquisition unit that acquires a voltage value of the storage element, and a voltage value acquired by the voltage acquisition unit sets the lower limit voltage value A setting unit for setting the reached voltage value after exceeding, a selection unit for selecting one storage amount-voltage value characteristic based on the reaching voltage value set by the setting unit, and the one storage amount-voltage An estimation unit configured to estimate a storage amount based on a value characteristic and a voltage value acquired by the voltage acquisition unit.

The storage amount estimation device estimates the storage amount based on the storage amount-voltage value characteristic and the acquired voltage value in the range from the lower limit voltage value to the ultimate voltage value that is substantially free of hysteresis. In an electricity storage device using an electrode material having hysteresis, a reaction having a large hysteresis and a reaction having substantially no hysteresis (small hysteresis) occur substantially independently. These reactions do not interfere with each other. As long as the ultimate voltage value is not exceeded, charging and discharging are performed along a unique curve between the lower limit voltage value and the ultimate voltage value. Therefore, the accuracy of estimating the amount of stored electricity is good.
In both charging and discharging, the charged amount can be estimated. The reached voltage value is set based on the rise and fall of the voltage value, and the storage amount-voltage value characteristic is selected. Even when charging / discharging is repeated in a complicated pattern, the amount of stored electricity can be estimated based only on the history of voltage values.
Since the voltage value can be used, the amount of stored electricity is not limited to the SOC, and the amount of current energy stored in the storage element such as the amount of power can be estimated.

In the above-described storage amount estimation device, the setting unit stores the reached voltage value in a storage unit, and when the voltage value acquired by the voltage acquisition unit is greater than the reached voltage value previously stored in the storage unit, It is preferable to update the acquired voltage value to the ultimate voltage value.

The power storage amount estimation device can accurately estimate the power storage amount based on the acquired voltage value by selecting a power storage amount-voltage value characteristic based on a larger ultimate voltage value (updated ultimate voltage value). it can.

In the above-described power storage amount estimation device, the voltage value may be an open-circuit voltage value.

For example, when the storage element is at rest and the open-circuit voltage value can be acquired, the storage amount can be easily estimated based on the open-circuit voltage value and the storage amount-open-circuit voltage characteristic. When the current value at the time of energization is large, by correcting the voltage value to the open-circuit voltage value, the charged amount can be estimated by referring to the voltage even during energization.

In the above-described storage amount estimation device, the voltage value may be a voltage value when a minute current flows through the storage element.

By regarding the voltage value when the current value is small as the open-circuit voltage value, the stored amount can be easily estimated from the voltage value, and the stored amount can be estimated even during charging and discharging of the storage element.

In the above-described storage amount estimation device, the storage amount is preferably SOC.

適用 By estimating the SOC for high-capacity materials, the applicability to existing control systems is improved. Based on the SOC, the amount of electricity stored such as dischargeable energy can be easily calculated. The storage amount estimation device can accurately estimate the state of charge of a storage element using an electrode material having hysteresis, in which OCV and SOC do not correspond one to one, without requiring a special sensor or additional parts. it can.

The power storage module includes a plurality of power storage elements and any one of the above-described power storage amount estimation devices.

A vehicle power storage module and an industrial power storage module typically have a plurality of power storage elements connected in series. A plurality of power storage elements may be connected in series and in parallel. In order to exhibit the performance of the power storage module, it is necessary to accurately estimate the SOC of each power storage element, and to perform balancing processing when the SOC varies among the plurality of power storage elements. Even if each storage element has a high capacity, the performance of the storage module cannot be used up unless the variation in SOC between the plurality of storage elements can be detected. Since the SOC of each storage element can be estimated with high accuracy by the above-described storage amount estimation device, the performance of the storage module can be maximized. The power storage module is suitably used as a power source for EVs and PHEVs, which have a particularly high demand for high capacity.

The storage amount estimation method is a storage amount estimation method for estimating a storage amount of a storage element including an active material whose storage amount-voltage value characteristic exhibits hysteresis, and a plurality of lower limit voltage values at which the presence or absence of the hysteresis is substantially switched. A plurality of stored charge amount-voltage value characteristics up to the ultimate voltage value are set, an ultimate voltage value after the acquired voltage value exceeds the lower limit voltage value is set, and based on the set ultimate voltage value, one A storage amount-voltage value characteristic is selected, and the storage amount is estimated based on the one storage amount-voltage value characteristic and the acquired voltage value.

In the above method, the storage amount is estimated on the basis of the storage amount-voltage value characteristic and the acquired voltage value in the range from the lower limit voltage value to the ultimate voltage value substantially free of hysteresis. Therefore, the accuracy of estimating the amount of stored electricity is good. It is possible to satisfactorily estimate the amount of electricity stored in an electricity storage element having an active material having a high capacity and having an electricity storage amount-voltage value characteristic showing hysteresis.
In both charging and discharging, the charged amount can be estimated. The inflection point related to the rise and fall of the voltage value is set to the ultimate voltage value, and the charged amount-voltage value characteristic is selected. Even when charging / discharging is repeated in a complicated pattern, the amount of stored electricity can be estimated only from the history of voltage values.
Since the voltage value can be used, the amount of electricity stored is not limited to the SOC, and the amount of current energy stored in the electricity storage element such as the amount of power can be estimated.

The computer program obtains the voltage value of the power storage element in a computer that estimates the power storage amount of the power storage element including an active material whose power storage amount-voltage value characteristic shows hysteresis, and the acquired voltage value is substantially the presence or absence of hysteresis. It is determined whether or not the lower limit voltage value to be switched automatically is exceeded, and when it is determined that the voltage value exceeds the lower limit voltage value, an ultimate voltage value is set, and the lower limit voltage is set based on the set ultimate voltage value. One charge amount-voltage value characteristic is selected by referring to a plurality of charge amount-voltage value characteristics from a value to a plurality of reached voltage values, and the one charge amount-voltage value characteristic is obtained and the acquired voltage value is selected. Based on this, the amount of stored electricity is estimated.

The present invention is not limited to the contents of the above-described embodiments, and various modifications can be made within the scope of the claims. That is, embodiments obtained by combining technical means appropriately changed within the scope of the claims are also included in the technical scope of the present invention.
The power storage amount estimation device according to the present invention is not limited to the case where it is applied to a vehicle-mounted lithium ion secondary battery, and can also be applied to other power storage modules such as a railway regenerative power storage device and a solar power generation system. In a power storage module through which a minute current flows, the voltage value between the positive electrode terminal and the negative electrode terminal of the power storage element or the voltage value between the positive electrode terminal and the negative electrode terminal of the power storage module can be regarded as OCV.
The power storage element is not limited to a lithium ion secondary battery, and may be another secondary battery or an electrochemical cell having hysteresis characteristics.

* It is not limited to when the monitoring apparatus 100 or BMU6 is an electrical storage amount estimation apparatus. A CMU (Cell Monitoring Unit) may be a storage amount estimation device. The power storage amount estimation device may be a part of a power storage module in which the monitoring device 100 or the like is incorporated. The power storage amount estimation device may be configured separately from a power storage element and a power storage module, and may be connected to a power storage module including a power storage element whose heat storage amount is to be estimated when the heat storage amount is estimated. The heat storage amount estimation device may remotely monitor the power storage element and the power storage module.

1, 50 Battery module (storage module)
2 Case 21 Case body 22 Lid portion 23 BMU accommodating portion 24 Cover 25 Middle lid 26 Partition plate 3,200 Battery (power storage element)
31 Case 32 Terminal 33 Electrode body 4 Bus bar 5 External terminal 6 BMU (Battery amount estimation device)
60 Information processing unit 62 CPU (estimation unit, voltage acquisition unit, setting unit, selection unit)
63 Memory (holding unit, storage unit)
63a SOC estimation program 63b Table 7 Current sensor 8 Voltage measurement unit 9 Current measurement unit 10 ECU
70 Recording medium 100 Monitoring device (power storage amount estimation device)
300 containment case

Claims

Two or more electrochemical reactions occur according to the transition of charge and discharge, and the hysteresis of the storage amount-voltage value characteristic shown when one electrochemical reaction occurs is smaller than the hysteresis when the other electrochemical reaction occurs. A power storage amount estimation device that estimates a power storage amount of a power storage element including an active material in at least one of a positive electrode and a negative electrode,
A storage amount estimation device comprising: an estimation unit that estimates a storage amount based on the storage amount-voltage value characteristic when the one electrochemical reaction occurs more than the other electrochemical reaction.
The charged amount-voltage value characteristic has a first region where the charged amount is relatively high and a second region where the charged amount is relatively low,
The storage amount estimation device according to claim 1, wherein the estimation unit estimates the storage amount based on a storage amount-voltage value characteristic of the first region.
A storage amount estimation device for estimating a storage amount of a storage element including an active material having a storage amount-voltage value characteristic showing hysteresis,
A holding unit that holds a plurality of charged amount-voltage value characteristics from a lower limit voltage value at which the presence or absence of hysteresis substantially switches to a plurality of reached voltage values;
A voltage acquisition unit for acquiring a voltage value of the storage element;
A setting unit for setting an ultimate voltage value after the voltage value acquired by the voltage acquisition unit exceeds the lower limit voltage value;
A selection unit that selects one storage amount-voltage value characteristic based on the reached voltage value set by the setting unit;
A storage amount estimation device comprising: the one storage amount-voltage value characteristic; and an estimation unit that estimates a storage amount based on the voltage value acquired by the voltage acquisition unit.
The setting unit
Storing the ultimate voltage value in a storage unit;
The storage amount estimation device according to claim 3, wherein when the voltage value acquired by the voltage acquisition unit is larger than the ultimate voltage value stored in the storage unit last time, the acquired voltage value is updated to the ultimate voltage value.
The storage amount estimation device according to any one of claims 1 to 4, wherein the voltage value is an open-circuit voltage value.
The storage amount estimation device according to any one of claims 1 to 4, wherein the voltage value is a voltage value when a minute current flows through the storage element.
A plurality of power storage elements;
A power storage module comprising: the power storage amount estimation device according to any one of claims 1 to 6.
A storage amount estimation method for estimating a storage amount of a storage element including an active material having a storage amount-voltage value characteristic showing hysteresis,
Holds a plurality of stored amount-voltage value characteristics from a lower limit voltage value at which the presence or absence of hysteresis substantially switches to a plurality of reached voltage values,
Set the reached voltage value after the acquired voltage value exceeds the lower limit voltage value,
Based on the set ultimate voltage value, select one charge amount-voltage value characteristic,
Estimating the storage amount based on the one storage amount-voltage value characteristic and the acquired voltage value;
A method for estimating the amount of stored electricity.
A computer that estimates the amount of electricity stored in an electricity storage device that includes an active material whose amount-voltage value characteristic exhibits hysteresis,
Obtaining a voltage value of the storage element;
Determine whether the acquired voltage value exceeds the lower limit voltage value at which the presence or absence of hysteresis substantially switches,
When it is determined that the voltage value exceeds the lower limit voltage value, an ultimate voltage value is set,
Based on the set reached voltage value, referring to a plurality of stored charge-voltage value characteristics from the lower limit voltage value to a plurality of reached voltage values, selecting one stored charge-voltage value characteristic,
A computer program for executing a process of estimating a storage amount based on the one storage amount-voltage value characteristic and an acquired voltage value.