JP2023146536A - Battery management program and battery management apparatus - Google Patents

Abstract

To distribute loads of information processing to each of system components in a system in which a battery management apparatus acquires information related to a battery.SOLUTION: A battery characteristic measurement apparatus 14 generates a measurement signal in a battery 12 and produces basic data including a discrete measurement signal value and a battery ID from the measurement signal. A battery management apparatus 22 executes: data acquisition processing of acquiring the basic data from the battery characteristic measurement apparatus 14; and analysis processing of acquiring the battery ID from the basic data and obtaining characteristic analysis data of the battery 12 on the basis of the basic data. The battery management apparatus 22 further executes: information generation processing of generating battery analysis information obtained by associating the battery ID with the characteristic analysis data; and transmission processing of transmitting the battery analysis information. The battery management apparatus 22 executes request reception processing of receiving request information transmitted from a user terminal 16, and executes the transmission processing, or the analysis processing and the transmission processing according to the request information.SELECTED DRAWING: Figure 1

Description

The present invention relates to a battery management program and a battery management device, and particularly to battery characteristic analysis.

BACKGROUND ART Electric vehicles such as hybrid cars and electric cars that run using battery power are widely used. For electric vehicles, charging devices connected to the power supply network provided by power supply companies are installed at service stations, parking lots, and the like. The battery of an electric vehicle is charged by a charging device.

Furthermore, in factories, offices, event venues, and the like, electric devices that use batteries, such as forklifts and transport vehicles, are used. BACKGROUND ART In order to use a plurality of electric devices at various locations within the premises of factories, offices, etc., charging systems have been developed in which charging devices are connected to key points in a locally constructed power supply network.

Regarding electric vehicles and charging systems, techniques for controlling multiple charging devices connected to a power supply network are known. In this technique, a control device acquires information representing the charging state of a battery from each charging device, and controls each charging device according to the charging state of the battery in each charging device. Patent Document 1 describes a distributed power supply system using such technology. This distributed power supply system includes a plurality of power conversion units (charging devices) and a control unit (control device) that controls each power conversion unit. A battery is connected to each power conversion section. The control unit acquires the SOC (State of Charge) of the battery from each of the plurality of power conversion units, and controls charging and discharging of each power conversion unit according to the SOC.

Note that Patent Document 2 describes a battery history information management system as a technology related to the present invention. The battery history information management system includes a charging/discharging device and a battery information management device. The charging/discharging device is connected to the secondary battery and charges or discharges the secondary battery. The battery information management device transmits history information regarding charging or discharging of the secondary battery by the charging/discharging device to the server.

Japanese Patent Application Publication No. 2016-116428 International Publication No. 2012/140835

Generally, battery performance deteriorates with use. Therefore, a system can be considered in which each charging device measures the degree of deterioration of the battery, and a battery management device collects information regarding the degree of deterioration measured by each charging device. A user of each charging device obtains information regarding the degree of deterioration from the battery management device using an information processing terminal that the user owns. However, in this system, each charging device measures the degree of deterioration, which increases the burden of processing performed by each charging device.

It is also possible to consider a configuration in which each charging device transmits the amount of charge charged in the battery, the amount of charge discharged from the battery, etc. to the battery management device at any time, and the battery management device calculates the degree of deterioration by calculation. In this case, a large amount of information is transmitted from the charging device to the battery management device, which increases the burden of communication processing performed between the charging device and the battery management device.

An object of the present invention is to distribute the burden of information processing to each system component in a system in which information regarding batteries is managed by a battery management device.

The present invention includes a data acquisition process that acquires basic data from a battery characteristic measuring device that generates a measurement signal in a battery and generates basic data including a discrete measurement signal value and a battery ID from the measurement signal; Obtaining the battery ID from the basic data, performing analysis processing to obtain characteristic analysis data of the battery based on the basic data, and generating battery analysis information in which the battery ID and the characteristic analysis data are associated with each other. The present invention is characterized in that a computer executes information generation processing and transmission processing for transmitting the battery analysis information.

Desirably, the computer is caused to execute a request reception process for receiving request information transmitted from a user terminal, and the transmission process, or the analysis process and the transmission process are executed according to the request information.

Preferably, the computer is caused to execute an abnormality determination process of determining whether or not the battery is abnormal based on the basic data and generating diagnostic information indicating whether or not the battery is abnormal; The process includes a process of transmitting information in which the battery ID and the diagnostic information are associated with each other.

Desirably, the characteristic analysis data represents a degree of deterioration of the battery.

Preferably, the computer executes a value-added information generation process of generating value-added information about the battery based on the characteristic analysis data, and the information generation process includes generating value-added information about the battery based on the characteristic analysis data. In addition, it includes a process of generating the battery analysis information associated with the added value information.

Preferably, an information amount analysis process for determining the amount of information of the battery analysis information or the amount of calculation required to execute the information generation process, and a claim indicating the amount of billed reward points according to the amount of information or the amount of calculations. The computer is caused to execute a billing process of transmitting the information to an external computer, and after the payment process for the billing information is completed, the computer is made to execute the sending process.

Preferably, a history generation process for generating history information regarding the battery analysis information, a history transmission process for encrypting the history information and storing it in a storage computer, and a history transmission process for generating the history information when the history request information is transmitted from a user terminal. Sending a decryption key for decrypting information to the user terminal that is the source of the history request information, and causing the storage computer to transmit the encrypted history information to the user terminal that is the source of the history request information. The computer is caused to execute command processing.

The present invention also provides a data acquisition process for acquiring basic data from a battery characteristic measuring device that generates a measurement signal in a battery and generates basic data including a discrete measurement signal value and a battery ID from the measurement signal. and an analysis process of acquiring the battery ID from the basic data and obtaining characteristic analysis data of the battery based on the basic data, and generating battery analysis information in which the battery ID and the characteristic analysis data are associated with each other. The present invention is characterized in that an information generation process for generating information and a transmission process for transmitting the battery analysis information are executed.

Preferably, a request reception process is executed to receive request information transmitted from a user terminal, and the transmission process or the analysis process and the transmission process are executed in accordance with the request information.

Preferably, an abnormality determination process is executed that determines whether or not the battery is abnormal based on the basic data and generates diagnostic information indicating whether or not the battery is abnormal, and the transmission process includes: The method includes a process of transmitting information in which the battery ID and the diagnostic information are associated with each other.

Preferably, the characteristic analysis data is data representing a degree of deterioration of the battery.

Preferably, value-added information generation processing is performed to generate added-value information about the battery based on the characteristic analysis data, and the information generation process includes, for the battery ID, the added-value information in addition to the characteristic analysis data. It includes a process of generating the battery analysis information associated with added value information.

Preferably, an information amount analysis process for determining the amount of information of the battery analysis information or the amount of calculation required to execute the information generation process, and a claim indicating the amount of billed reward points according to the amount of information or the amount of calculations. A billing process for transmitting the information to an external computer is executed, and after the payment process for the billing information is completed, the transmitting process is executed.

Preferably, a history generation process for generating history information regarding the battery analysis information, a history transmission process for encrypting the history information and storing it in a storage computer, and a history transmission process for generating the history information when the history request information is transmitted from a user terminal. Sending a decryption key for decrypting information to the user terminal that is the source of the history request information, and causing the storage computer to transmit the encrypted history information to the user terminal that is the source of the history request information. Executes command processing.

According to the present invention, in a system in which a battery management device acquires information regarding batteries, the burden of information processing can be distributed to each system component.

FIG. 1 is a diagram showing the configuration of a battery management system. It is a figure showing an example of composition of a measuring instrument with which a battery characteristic measuring device is provided. FIG. 3 is a diagram showing a damped oscillating voltage appearing in a secondary inductor. FIG. 3 is a diagram showing the configuration of a battery deterioration analyzer. It is a figure showing an example of relaxation voltage about a lead battery. It is a graph which matches the deterioration parameter measured by the reference measuring device and the measured value of the impedance real part of the lead battery measured by the battery management device. FIG. 3 is a diagram showing the configuration of a battery deterioration analyzer. FIG. 2 is a diagram showing the relationship between machine learning data of a lithium ion battery and a machine learning model of a lithium ion battery. It is a graph that associates changes in the real part of impedance with the degree of deterioration of battery capacity. 3 is a sequence chart of processing executed by the battery management system. 3 is a sequence chart of first applied processing. It is a sequence chart of the 2nd applied processing. It is a sequence chart of the 3rd application process. It is a sequence chart of the 3rd application process.

Embodiments of the present invention will be described with reference to each figure. Identical items shown in multiple drawings are designated by the same reference numerals to simplify the explanation thereof.

FIG. 1 shows the configuration of a battery management system 100 according to an embodiment of the present invention. The battery management system 100 includes a communication line 10, a battery 12, a battery characteristic measuring device 14, a user terminal 16, a wireless communication system 18, a storage computer 20, and a battery management device 22. The battery management device 22 and the storage computer 20 constitute a provider system 102, and the provider system 102 may be operated by a provider that is a business that analyzes the battery 12.

The battery 12 may be used as a power source in factories, offices, and the like. Further, it may be installed in the electric vehicle in a state where it is separated from the battery characteristic measuring device 14 or together with the battery characteristic measuring device 14. The battery 12 may also be connected to a charging device connected to a power supply network.

The battery characteristic measuring device 14 causes the battery 12 to generate a measurement signal, and generates basic data including discrete measurement signal values and a battery ID (Identification) for identifying the battery 12 from the measurement signal. For example, the battery characteristic measuring device 14 causes a pulse current to flow through the battery 12 as a measurement signal, and obtains discrete values of the pulse current as discrete measurement signal values. The battery characteristic measuring device 14 transmits basic data including the discrete value of the pulse current and the battery ID assigned to the battery 12 to the storage computer 20 via the communication line 10. Storage computer 20 stores basic data.

The battery characteristic measuring device 14 may include a temperature sensor that measures the temperature of the battery 12. The battery characteristic measuring device 14 may include a measured value of the temperature of the battery 12 (battery temperature) in the basic data. Furthermore, the battery characteristic measuring device 14 may include a circuit that measures the integrated value (usage amount) of the amount of charge charged and discharged from the new state to the present time. The battery characteristic measuring device 14 measures the type of the battery 12 (type of lead battery, lithium ion battery, etc.), the charging capacity (mAh) of the battery 12, the usage amount from the new state to the present, the manufacturer, and the manufacturing serial number. etc. may also be included.

The battery characteristic measuring device 14 that performs such processing may include, for example, a resonant circuit with loss. The battery characteristic measuring device 14 connects a resonant circuit to the battery 12, passes a damped oscillating pulse current through the battery 12, and extracts discrete values of the pulse current as discrete measurement signal values. The discrete values of the pulse current included in the basic data may be two or more discrete values arranged on the time axis.

FIG. 2 shows an example of the configuration of the measuring instrument 30 included in the battery characteristic measuring device 14. The measuring device 30 includes a primary inductor L1, a capacitive element C0, a resistor R0, a switch SW, and a discrete value extraction circuit 32. Primary inductor L1, capacitive element C0, and switch SW are connected in series. Resistor R0 is connected in parallel with capacitive element C0. A terminal of the primary inductor L1 opposite to the terminal on the capacitive element C0 side is connected to the positive electrode of the battery 12. A terminal of the switch SW on the opposite side from the capacitive element C0 is connected to the negative electrode of the battery 12. Secondary inductor L2 is coupled to primary inductor L1. One end of the secondary inductor L2 is grounded, and the other end is connected to the discrete value extraction circuit 32.

Primary inductor L1, capacitive element C0 and resistor R0 constitute a lossy resonant circuit. When the switch SW is turned on in a pulsed manner, a damped oscillating current Ia flows through the battery 12 and the resonant circuit. Here, the switch SW being turned on in a pulsed manner means that the switch SW is turned on from off, remains on for a predetermined period of time, and then turns off from on.

As the damped oscillating current Ia flows through the primary inductor L1, a damped oscillating voltage Ea corresponding to the damped oscillating current Ia appears in the secondary inductor L2. The damped oscillation voltage Ea is output to the discrete value extraction circuit 32. The discrete value extraction circuit 32 extracts a plurality of local maximum values of the damped oscillation voltage Ea as discrete values, and outputs a plurality of discrete values.

FIG. 3 shows the damped oscillating voltage Ea appearing in the secondary inductor L2. The discrete value extraction circuit 32 extracts, for example, local maximum values that appear at times t1 and t2 after time 0 when the damped oscillating voltage Ea appears on the secondary inductor L2 as discrete values. Here, it is assumed that the discrete value extraction circuit 32 extracts two local maximum values, but the discrete value extraction circuit 32 extracts three or more local maximum values of the damped oscillation voltage Ea, and extracts three or more discrete values. You can also output it.

Returning to FIG. 1, the battery management system 100 will be described. The communication line 10 may be a communication line that can be used by an unspecified person, such as the Internet, or may be a communication line constructed for a specific business organization.

The user terminal 16 may be an information processing device with a wireless communication function, such as a smartphone or a personal computer with a wireless module. User terminal 16 may be owned by and operated by the user of battery 12, for example. The user terminal 16 wirelessly transmits request information requesting transmission of battery analysis information to the wireless communication system 18. The request information includes the battery ID of the battery 12. Further, the battery analysis information is information in which information indicating the degree of deterioration of the battery 12 and the battery ID are associated with each other. The degree of deterioration of the battery 12 will be described later.

The wireless communication system 18 may be a local area network using WiFi or the like, or a mobile communication system. The wireless communication system 18 receives request information wirelessly transmitted from the user terminal 16 and transmits the request information to the battery management device 22 via the communication line 10. Upon receiving the request information, the battery management device 22 reads basic data containing the same battery ID as the battery ID included in the request information from the storage computer 20 .

The battery management device 22 is configured by one or more computers. The battery management device 22 executes each process described below by executing a battery management program. The battery management program may be recorded on a recording medium built into the computer or a recording medium that is detachable from the computer. The recording medium may be a hard disk, a USB memory, a CD-ROM, or the like. In this case, the battery management device 22 may read the battery management program from a recording medium built into the battery management device 22 or detachably attached thereto. Further, an external computer connected to the communication line 10 may have a recording medium on which the battery management program is recorded or may be detachably attached thereto. In this case, the battery management device 22 may read and execute a battery management program from an external computer. When the battery management device 22 is composed of a plurality of computers, the plurality of computers may be connected to each other via the communication line 10, and the processing based on the battery management program may be executed in a distributed manner by the plurality of computers. .

The battery management device 22 determines the degree of deterioration as characteristic analysis data of the battery 12 based on the discrete values of the measurement signals included in the basic data. The degree of deterioration includes SOH_R and SOH_C. SOH_R indicates resistance deterioration, and SOH_C indicates capacitance deterioration. SOH_R is defined, for example, as a value indicating the rate at which the real part of impedance increases (what percentage the impedance increases) with respect to a new battery. Here, the real part of impedance refers to the real part when the internal impedance of a battery is expressed as a complex number at a certain frequency. Generally, the larger SOH_R is, the greater the degree of battery deterioration. SOH_C is defined, for example, as a value indicating the rate at which the discharge capacity (mAh) has decreased (what percentage has decreased) with respect to a new battery. Generally, the larger SOH_C is, the greater the degree of battery deterioration. When the battery 12 is a lithium ion battery, in addition to SOH_R and SOH_C, SOH_S indicating safety deterioration may be determined. SOH_S may be, for example, a value indicating the amount of metal deposited on the active material.

Regarding the process by which the battery management device 22 determines the degree of deterioration of the battery 12, an example will be described in which the basic data includes three discrete values of the measurement signal. It is assumed that the basic data includes discrete values Pm1, Pm2, and Pm3 as discrete values at times t1, t2, and t3.

The battery management device 22 calculates the impedance real part Rhf of the battery 12 according to (Equation 1) based on the discrete values Pm2 and Pm3.

(Math. 1) Rhf=ln(Pm2/Pm3)・ar-br

Here, ln represents a natural logarithm. Constants ar and br are predetermined based on the characteristics of a circuit comprised of primary inductor L1, secondary inductor L2, capacitive element C0, and resistor R0. (Equation 1) is derived from the fact that the time constant when the peaks of the damped oscillating current Ia and the damped oscillating voltage Ea attenuate over time is determined according to the real part of the impedance of the battery 12.

The battery management device 22 determines the output voltage Vb of the battery 12 according to (Equation 2).

(Math. 2) Vb=(1/√δ)・k・N・Pm1, δ=exp(−Rhf・tr/(2Lr))

Here, k is the gain of the discrete value extraction circuit 32, N is the winding ratio of the winding forming the secondary inductor L2 to the winding forming the primary inductor L1, and tr is the winding ratio from time t0 to time t1. Lr is the self-inductance of the primary inductor L1.

The battery characteristic measuring device 14 sequentially acquires basic data as time passes, and sequentially transmits the basic data to the storage computer 20 as time passes. The battery management device 22 sequentially determines the impedance real part Rhf and the output voltage Vb of the battery 12 over time based on the basic data stored in the storage computer 20 over time.

In the above, the case where the basic data includes three discrete values is shown. However, if the basic data includes two or more than four discrete values, the battery 12 is changed by the following process. The impedance real part Rhf and the output voltage Vb may be determined. For example, the battery management device 22 obtains a function representing the positive envelope of the damped oscillating voltage Ea shown in FIG. 3 based on a plurality of discrete values. This function may be a function whose decay time constant and function value are determined by providing the impedance real part Rhf and the output voltage Vb. The battery management device 22 determines the impedance real part Rhf and the output voltage Vb based on the determined function.

As described below, the battery management device 22 includes a battery deterioration analyzer. The battery deterioration analyzer determines the degree of deterioration of the battery 12 by applying at least one of the real part of the impedance and the output voltage to a machine learning model based on machine learning data acquired in advance. Here, it is assumed that the basic data acquired by the battery management device 22 includes battery temperature in addition to discrete measurement signal values (discrete values).

FIG. 4 shows a battery deterioration analyzer 60 configured in the battery management device 22. The battery deterioration analyzer 60 is used to determine the degree of deterioration of a lead battery. The impedance real part Rhf, the output voltage Vb of the battery 12, and the battery temperature Tmp, which are sequentially acquired over time, are input to the battery deterioration analyzer 60. Here, the output voltage Vb may be a voltage whose value changes due to a change in the load power of the battery 12. For example, when the load current is flowing through the battery 12 (on state) and the load current is cut off (off state), the relaxation voltage that increases over time is input to the battery deterioration analyzer 60. It's okay to be. Alternatively, a relaxation voltage that decreases over time when the off state changes to the on state may be input to the battery deterioration analyzer 60.

The battery deterioration analyzer 60 calculates at least one of the impedance real part Rhf, the battery output voltage Vb (for example, the time waveform in a certain time range of the output voltage Vb), and the battery temperature Tmp using a machine learning model built in advance. is applied to obtain SOH_R and SOH_C as the degree of deterioration.

The machine learning model may be constructed, for example, by obtaining machine learning data for a plurality of batteries that have different usage amounts since the start of use. For example, the battery management device 22 acquires basic data for each of a plurality of batteries with different usage amounts. Furthermore, SOH_R and SOH_C are actually measured for each of a plurality of batteries having different usage amounts by a device different from the battery management system 100. Then, the battery management device 22 associates the basic data with the actually measured SOH_R and SOH_C using a machine learning algorithm to obtain machine learning data. Machine learning data may be stored in storage computer 20 and read from storage computer 20 into battery deterioration analyzer 60 .

In the upper part of FIG. 5, an example of relaxation voltage for a lead-acid battery is shown. The horizontal axis shows time and the vertical axis shows the output voltage of the battery. The output voltage 62-1 indicates the relaxation voltage of a new battery, and the output voltage 62-2 indicates the relaxation voltage of a deteriorated battery whose usage is not zero. The battery changes from the off state to the on state in 40 seconds, and its output voltage decreases. Further, the battery changes from the on state to the off state in 240 seconds, and its output voltage increases.

The lower part of FIG. 5 shows the measurement results of the real part of the impedance of the lead battery measured by the battery management device 22 according to the embodiment of the present invention. The horizontal axis shows time and the vertical axis shows the real part of impedance. The impedance real part 64-1 shows the value of a new battery, and the impedance real part 64-2 shows the value of a deteriorated battery whose usage amount is not 0. The lower part of FIG. 5 shows that even when the output voltage fluctuates as shown in the upper part of FIG. 5, the fluctuation in the real part of the impedance is small.

FIG. 6 shows the deterioration parameters measured by a general measurement device (reference measurement device) serving as a reference and the measured value of the real part of impedance of a lead battery measured by the battery management device 22 according to the present embodiment. A corresponding graph is shown. The horizontal axis shows the deterioration parameter measured by the reference measuring device. The smaller the value of the deterioration parameter in FIG. 6, the greater the degree of deterioration. The vertical axis indicates the real part of the impedance measured by the battery management device 22. It is shown that the smaller the deterioration parameter measured by the reference measurement device, that is, the greater the degree of deterioration, the larger the real part of impedance. A machine learning model for lead-acid batteries may take advantage of this tendency.

FIG. 7 shows the configuration of a battery deterioration analyzer 70 included in the battery management device 22. The battery deterioration analyzer 70 is used to determine the degree of deterioration of a lithium ion battery. The impedance real part Rhf, battery output voltage Vb, and battery temperature Tmp, which are sequentially acquired over time, are input to the battery deterioration analyzer 70. A relaxation voltage may be input to the battery deterioration analyzer 70 as the output voltage Vb.

The battery deterioration analyzer 70 calculates at least one of the impedance real part Rhf, the relaxation voltage of the battery output voltage Vb (for example, the time waveform in a certain time range of the output voltage Vb), and the battery temperature Tmp, based on a pre-constructed value. By applying it to a machine learning model, SOH_R, SOH_C, and SOH_S are determined as the degree of deterioration.

A machine learning model may be constructed by obtaining machine learning data for a plurality of batteries with different usage amounts, as in the case of lead batteries. For example, the battery management device 22 acquires basic data for each of a plurality of batteries with different usage amounts. Further, SOH_R, SOH_C, and SOH_S are actually measured for each of the plurality of batteries having different usage amounts by a device different from the battery management system 100. Then, the battery management device 22 associates the basic data with the actually measured SOH_R, SOH_C, and SOH_S using a machine learning algorithm to obtain machine learning data. Machine learning data may be stored in storage computer 20 and read from storage computer 20 into battery deterioration analyzer 70 .

FIG. 8 shows an example of machine learning data for lithium ion batteries and results obtained by a machine learning model for lithium ion batteries. In the upper part of FIG. 8, a graph showing machine learning data is shown. The graph on the left side of the upper row shows machine learning data that associates output voltage and discharge capacity for a new battery and three degraded batteries A to C with different usage amounts. The horizontal axis shows the discharge capacity, and the vertical axis shows the output voltage. The graph on the right side of the upper row shows relaxation voltages as machine learning data for a new battery and three deteriorated batteries A to C with different usage amounts. The horizontal axis shows time, and the vertical axis shows output voltage.

The lower part of FIG. 8 shows an example of results obtained by a machine learning model of a lithium ion battery. On the left side of the lower part of FIG. 8, a graph (a graph based on a machine learning model) in which a predicted value of the discharge capacity can be obtained by giving an actual measured value of the discharge capacity is shown. The horizontal axis shows the measured value of the discharge capacity, and the vertical axis shows the predicted value. Actual values and predicted values are correlated by straight lines on the graph. On the right side of the lower part of Figure 8, there is a graph (graph based on a machine learning model) in which the predicted value can be obtained by giving the actual measured value of the real part of impedance for batteries whose usage amount is different from that of degraded batteries A to C. It is shown. The horizontal axis shows the measured value of the real part of the impedance, and the vertical axis shows the predicted value. Actual values and predicted values are correlated by straight lines on the graph. Battery deterioration analyzer 70 may determine SOC_R and SOH_C based on the machine learning model shown in FIG. 8 .

FIG. 9 shows a graph in which changes in the real part of impedance are associated with the degree of deterioration of battery capacity. The impedance real part is measured by the battery management device 22 according to the embodiment of the present invention. Batteries for which the real part of impedance was measured, indicated by white circles, had a larger amount of metal precipitation than batteries for which the real part of impedance was measured, indicated by black circles. As shown in FIG. 9, in a battery with a large amount of metal precipitated, the real part of impedance decreases greatly with respect to a decrease in battery capacity. That is, in a lithium ion battery, the greater the decrease in battery capacity, the stronger the tendency for the real part of impedance to decrease. A machine learning model for lithium ion batteries may utilize such trends.

The battery management device 22 generates battery analysis information that associates the degree of deterioration as characteristic analysis data with the battery ID of the battery 12, and transmits the battery analysis information to the user terminal 16 via the communication line 10 and the wireless communication system 18. Send to. The user terminal 16 may receive the battery analysis information and present the degree of deterioration of the battery 12 to the user.

The battery management device 22 may transmit the battery analysis information to the battery characteristic measuring device 14 via the communication line 10. The battery characteristic measuring device 14 may perform control regarding charging or discharging the battery 12 based on the degree of deterioration included in the battery analysis information. For example, when the degree of deterioration is large, the battery characteristic measuring device 14 may perform processing to limit the amount of charge and discharge of the battery 12.

Note that communication between each of the battery characteristic measuring device 14, the storage computer 20, and the battery management device 22 and the communication line 10 may be performed by wireless communication or wired communication. Further, communication between the user terminal 16 and the communication line 10 may be performed by wired communication without going through the wireless communication system 18.

FIG. 10 shows a sequence chart of processing executed by the battery management system 100. Straight lines extending downward from each of the battery characteristic measuring device 14, the storage computer 20, the battery management device 22, and the user terminal 16 indicate a time axis. Since the communication line 10 and the wireless communication system 18 are information transmission paths, they are omitted in this sequence chart.

The battery characteristic measuring device 14 transmits basic data of the battery 12 to the storage computer 20 (S1). Storage computer 20 stores basic data. This process may be repeatedly executed over time. The user terminal 16 transmits request information to the battery management device 22 in response to the user's operation (S2). In response to receiving the request information, the battery management device 22 reads basic data from the storage computer 20 (S3) and executes analysis processing (S4). As described above, the analysis process is a process of determining the degree of deterioration as characteristic analysis data of the battery 12 based on the discrete values of the measurement signal included in the basic data.

The battery management device 22 executes an abnormality determination process based on the degree of deterioration (S5). The abnormality determination process is a process of determining whether or not the battery 12 is abnormal, and generating diagnostic information indicating whether or not the battery 12 is abnormal. For example, if the battery 12 is a lead battery and the battery management device 22 calculates SOH_R and SOH_C, if at least one of SOH_R and SOH_C exceeds a predetermined abnormality determination threshold, the battery management device 22 It is determined that the battery 12 is abnormal. That is, when at least one of the conditions that SOH_R exceeds a predetermined abnormality determination threshold PR and the condition that SOH_C exceeds a predetermined abnormality determination threshold PC are satisfied, the battery management device 22 determines that the battery 12 is abnormal. It is determined that

The battery management device 22 determines that the battery 12 is not abnormal when both SOH_R and SOH_C are below a predetermined abnormality determination threshold. That is, when both the condition that SOH_R is below the predetermined abnormality determination threshold PR and the condition that SOH_C is below the predetermined abnormality determination threshold PC are satisfied, the battery management device 22 determines that the battery 12 is not abnormal. judge.

Further, when the battery 12 is a lithium ion battery and the battery management device 22 calculates SOH_R, SOH_C, and SOH_S, if at least one of SOH_R, SOH_C, and SOH_S exceeds a predetermined abnormality determination threshold, the battery The management device 22 determines that the battery 12 is abnormal. That is, when at least one of the conditions that SOH_R exceeds a predetermined abnormality determination threshold LR, the condition that SOH_C exceeds a predetermined abnormality determination threshold LC, and the condition that SOH_S exceeds a predetermined abnormality determination threshold LS is satisfied. , the battery management device 22 determines that the battery 12 is abnormal.

The battery management device 22 determines that the battery 12 is not abnormal when all of SOH_R, SOH_C, and SOH_S are below a predetermined abnormality determination threshold. That is, when all of the following conditions are satisfied: SOH_R is less than or equal to the predetermined abnormality determination threshold LR, SOH_C is less than or equal to the predetermined abnormality determination threshold LC, and SOH_S is less than or equal to the predetermined abnormality determination threshold LS. In this case, the battery management device 22 determines that the battery 12 is not abnormal.

The battery management device 22 transmits battery analysis information in which the degree of deterioration as characteristic analysis data, diagnostic information, and battery ID are associated with each other to the user terminal 16 (S6). The battery management device 22 may transmit the battery analysis information to the battery characteristic measuring device 14 (S7).

Here, the process in which the battery management device 22 executes the analysis process (S4) and the abnormality determination process (S5) in response to receiving the request information transmitted from the user terminal 16 has been described. The battery management device 22 repeatedly executes the analysis process (S4) and the abnormality determination process (S5) as time passes, regardless of whether or not the request information is received, and in response to receiving the request information (SS2). , a process of transmitting battery analysis information to the user terminal 16 may be executed. Further, the information in which the diagnostic information and the battery ID are associated may be transmitted by the battery management device 22 to the user terminal 16, or to the user terminal 16 and the battery characteristic measuring device 14, as information separate from the battery analysis information. .

In this way, the battery management device 22 that constitutes the battery management system 100 executes the following process by executing the battery management program.

That is, the battery management device 22 performs a data acquisition process (S3) to acquire basic data from the battery characteristic measuring device 14, acquires a battery ID for identifying the battery 12 from the basic data, and converts characteristic analysis data of the battery 12 into the basic data. An analysis process (S4) is executed based on the above. The battery management device 22 further executes an information generation process for generating battery analysis information that associates the characteristic analysis data with the battery ID, and a transmission process for transmitting the battery analysis information (S7).

The battery management device 22 executes a request reception process to receive request information transmitted from the user terminal 16 (S2). The battery management device 22 executes a transmission process, or an analysis process and a transmission process according to the request information. The battery management device 22 may execute an abnormality determination process that determines whether the battery 12 is abnormal based on the basic data and generates diagnostic information indicating whether the battery 12 is abnormal ( S5). In this case, the above-mentioned transmission process includes a process of transmitting information in which diagnostic information and battery ID are associated with each other.

According to the battery management system 100, basic data including discrete measurement signal values is transmitted from the battery characteristic measuring device 14 to the battery management device 22. The discrete measurement signal value is a discrete value generated from the measurement signal by the battery characteristic measuring device 14 causing the battery 12 to generate a measurement signal. Therefore, compared to the case where the measurement signal itself is transmitted from the battery characteristic measuring device 14 to the battery management device 22, the burden of communication processing is reduced. Further, according to the battery management system 100, the battery management device 22 generates battery analysis information including characteristic analysis data based on the basic data. As a result, the process of generating battery analysis information is executed in a distributed manner by the battery characteristic measuring device 14 and the battery managing device 22, and the processing executed by each of the battery characteristic measuring device 14 and the battery managing device 22 is reduced.

Moreover, the battery characteristic measuring device 14 only needs to acquire discrete measurement signal values. Therefore, the computer used in the battery characteristic measuring device 14 may have a slower calculation speed than the computer constituting the battery management device 22. This reduces the cost burden on the user. On the other hand, the battery management device 22 may be a computer that has a high calculation speed and can build an advanced machine learning model. This improves the accuracy of battery analysis information.

FIG. 11 shows a sequence chart of the first applied processing executed by the battery management system 100. The battery management device 22 executes the information amount analysis process (S21), obtains the information amount (byte) of the battery analysis information generated by the analysis process (S4) and the abnormality determination process (S5), and requests the user for the information amount (byte). The reward points (billing reward points) to be paid are calculated according to the amount of information. Reward points are numerical values that indicate economic value, such as the amount of currency or points (points in a business model that awards "points" with economic value to consumers when purchasing products, etc.). It's good. The battery management device 22 may increase the billing reward points as the amount of information increases. In addition to the amount of battery analysis information, the battery management device 22 also calculates claim reward points according to the amount of calculations (bytes) required to execute the analysis process (S4) and the abnormality determination process (S5). good.

The battery management device 22 executes billing processing for billed reward points. That is, the battery management device 22 transmits billing information including information indicating billed reward points to the external computer 40 (S22). External computer 40 is a computer connected to communication line 10 (FIG. 1). The external computer 40 may be constituted by a plurality of computers, and these plurality of computers may be operated by a plurality of various businesses. The external computer 40 may be, for example, a computer operated by a credit card company. When the external computer 40 receives the billing information, it executes a process of settling the billed amount with the user terminal 16 using a credit card (S23). Through payment processing, for example, an amount equal to the billing reward points is transferred from the bank account specified by the user to the credit card operator's bank account, and the billing reward points and the like are transferred from the credit card operator's bank account to the provider's bank account. An amount of the same value will be transferred.

When the external computer 40 completes the payment process (S23), it transmits payment completion information to the battery management device 22 (S24). Upon receiving the payment completion information, the battery management device 22 transmits battery analysis information to at least one of the user terminal 16 and the battery characteristic measuring device 14.

FIG. 12 shows a sequence chart of the second applied processing. The second applied processing differs from the first applied processing in that added value information generation processing (S25) is executed after the analysis processing (S4) and the abnormality determination processing (S5).

The battery management device 22 executes added value information generation processing (S25) and generates added value information based on the characteristic analysis data. The added value information includes, for example, information indicating when to replace the battery 12 and information required by the user when replacing the battery 12. The information required by the user includes, for example, a URL indicating information on the seller of the battery 12, an input format for ordering a new battery from the seller, and the like. In this example, the battery management device 22 estimates the time to replace the battery 12. Therefore, the basic data generated by the battery characteristic measuring device 14 and stored in the storage computer 20 includes the type of battery 12 (type of lead battery, lithium ion battery, etc.), the charging capacity (mAh) of the battery 12, and the new condition. This may include information such as the amount used between 2010 and the present, the manufacturer, and the manufacturing serial number.

Further, the added value information may be charging plan information according to the degree of deterioration and charging capacity of the battery 12. The charging plan information includes the upper limit value of the current flowing through the battery 12 when charging the battery 12, the upper limit value of the voltage applied to the battery 12 when charging the battery 12, the time spent on charging, and the like. Further, the charging plan information includes charging characteristics when charging the battery 12. The charging characteristics include, for example, the resistance value of a resistor equivalently connected to the battery 12, the voltage applied to the battery 12, and the like.

In the added value information generation process (S25), the battery management device 22 generates battery analysis information in which added value information is associated with the battery ID in addition to the characteristic analysis data.

The battery management device 22 executes the information amount analysis process (S21), and calculates the information amount (bytes) of the battery analysis information generated by the analysis process (S4), the abnormality determination process (S5), and the value-added information generation process (S25). ), and the billing reward points for the user are determined according to the amount of information. The battery management device 22 may increase the billing reward points as the amount of information increases. In addition to the amount of battery analysis information, the battery management device 22 calculates the amount of calculations (bytes) required to execute the analysis process (S4), the abnormality determination process (S5), and the value-added information generation process (S25). Claim reward points may be determined accordingly.

The processing from when the battery management device 22 transmits the billing information to the external computer 40 to when the battery analysis information is transmitted to the user terminal 16 and the battery characteristic measuring device 14 (S22 to S24, S6 and S7) is shown in FIG. This is similar to the first application processing shown.

Note that in the first and second applied processes, the process in which the battery management device 22 transmits billing information to the external computer 40 does not necessarily have to be executed every time battery analysis information is generated. For example, a process of transmitting billing information to the external computer 40 may be executed each time the cumulative value of unsettled reward points reaches a predetermined threshold. Furthermore, the battery management device 22 may transmit billing information corresponding to the accumulated value of unsettled reward points to the external computer 40 at predetermined time intervals (for example, every month, every year, etc.). good.

FIGS. 13A and 13B show sequence charts of the third applied process. In the third applied process, the battery management device 22 generates history information indicating the history of generation of battery management information, and causes the storage computer 20 to store the history information. The user terminal 16 may request history information from the battery management device 22. When the user terminal 16 requests history information from the battery management device 22, payment processing is executed, and after the payment processing is completed, the history information is sent from the storage computer 20 to the user terminal 16 according to a command from the battery management device 22. Information is sent.

Details of the third applied processing will be explained. The battery management device 22 executes history generation processing (S30) and generates history information in which battery analysis information is associated with the date and time when the battery analysis information was generated (S30). The battery management device 22 executes history transmission processing. That is, the battery management device 22 encrypts the history information, transmits it to the storage computer 20, and causes the storage computer 20 to store it.

When acquiring history information from the storage computer 20, the user terminal 16 transmits history request information to the battery management device 22 (S32). The history request information includes time range designation information that designates the year, month, day, and time when the battery analysis information to be acquired was generated. Further, the history request information includes a passcode agreed upon in advance with the battery management device 22. The battery management device 22 receives the history request information, and if the passcode included in the history request information has been agreed upon in advance, the battery management device 22 transmits billing information including information indicating billed reward points to the external computer 40. Send (S33). If the passcode included in the history request information is not one that has been agreed upon in advance, the battery management device 22 does not need to perform processing on the history request information.

When the external computer 40 receives the billing information, it executes processing to settle the billed amount with the user terminal 16 using a credit card (S34). When the external computer 40 completes the payment process (S34), it transmits payment completion information to the battery management device 22 (S35). Upon receiving the payment completion information, the battery management device 22 transmits the decryption key to the user terminal 16 (S36). The decryption key is information used to decrypt (unencrypt) encrypted history information received from the storage computer 20. The battery management device 22 further executes transmission command processing to the storage computer 20. That is, the battery management device 22 transmits transmission command information to the storage computer 20 (S37). The transmission command information includes the above-mentioned time range designation information. The storage computer 20 that has received the transmission command information transmits the specification/history information that includes the battery analysis information specified by the time range specification information to the user terminal 16 (the user terminal 16 that is the source of the history request information) (S38 ). The user terminal 16 decrypts the designation/history information using the decryption key received in step S36.

Note that the above payment process (S23 and S34) is a process using a credit card. As the payment processing (S23 and S34), payment processing at a retail store such as a convenience store, or payment processing using a user's smartphone by a payment agency may be adopted. Further, automatic transfer from the user's bank account to the provider's bank account may be adopted as the payment process.

In addition to the processes shown in FIGS. 10 to 13B, the battery management device 22 transmits battery analysis information as feedback information to the communication terminal of the manufacturer and seller of the battery 12 via the communication line 10. Good too. In this case, the battery management device 22 includes information such as the battery ID, degree of deterioration, diagnostic information, type of battery 12, amount of usage from the new state to the present time, manufacturer, manufacturing serial number, etc. in the battery analysis information. You can let me do it. Manufacturers and distributors of batteries may utilize battery analysis information for product development and countermeasures for defective products.

Note that the battery management program described above is created based on a battery management method as shown below. That is, the battery management method includes data acquisition of basic data from a battery characteristic measuring device 14 that generates a measurement signal in the battery 12 and generates basic data including a discrete measurement signal value and a battery ID from the measurement signal. an acquisition step, an analysis step of acquiring battery ID from basic data and obtaining battery characteristic analysis data based on the basic data, and information generation of generating battery analysis information in which the battery ID and characteristic analysis data are associated with each other. and a transmitting step of transmitting battery analysis information.

Moreover, the battery management method desirably includes a request receiving step of receiving request information transmitted from the user terminal 16, and the transmitting step, or the analyzing step and the transmitting step are performed according to the request information.

The battery management method preferably includes an abnormality determination step of determining whether or not the battery 12 is abnormal based on basic data and generating diagnostic information indicating whether or not the battery 12 is abnormal; The transmitting step includes transmitting information in which the battery ID and diagnostic information are associated with each other.

Further, the characteristic analysis data may be data representing the degree of deterioration of the battery 12.

Further, the battery management method preferably includes a value-added information generation step of generating value-added information about the battery 12 based on the characteristic analysis data, and the information generation step includes adding value-added information about the battery ID to the characteristic analysis data. and generating battery analysis information associated with added value information.

In addition, the battery management method preferably includes an information amount analysis step for determining the amount of battery analysis information or the amount of calculation required to execute the information generation step, and a claim reward point according to the amount of information or amount of calculation. and a billing step of transmitting billing information indicating the billing information to an external computer, and a step of executing the transmitting step after the payment processing for the billing information is completed.

The battery management method preferably includes a history generation step of generating history information related to battery analysis information, a history transmission step of encrypting the history information and storing it in the storage computer 20, and transmitting history request information from the user terminal 16. When the request is made, the decryption key for decrypting the history information is sent to the user terminal 16 that is the source of the history request information, and the encrypted history information is sent to the storage computer 20 from the user terminal 16 that is the source of the history request information. and a step of sending a transmission command to.

10 communication line, 12 battery, 14 battery characteristic measuring device, 16 user terminal, 18 wireless communication system, 20 storage computer, 22 battery management device, 30 measuring instrument, 32 discrete value extraction circuit, 40 external computer, 60, 70 battery deterioration Analyzer, 62-1, 62-2 Output voltage, 64-1, 64-2 Real part of impedance, L1 Primary inductor, C0 Capacitive element, R0 Resistor R0, SW Switch, 100 Battery management system, 102 Provider system .

Claims (14)

a data acquisition process that acquires the basic data from a battery characteristic measuring device that generates a measurement signal in the battery and generates basic data including a discrete measurement signal value and a battery ID from the measurement signal;
an analysis process that obtains the battery ID from the basic data and obtains characteristic analysis data of the battery based on the basic data;
information generation processing that generates battery analysis information in which the battery ID and the characteristic analysis data are associated;
a transmission process of transmitting the battery analysis information;
A battery management program that causes a computer to execute. The battery management program according to claim 1,
causing the computer to execute a request receiving process for receiving request information transmitted from a user terminal;
A battery management program characterized in that the transmission process, or the analysis process and the transmission process are executed according to the request information. The battery management program according to claim 1 or 2,
causing the computer to execute an abnormality determination process of determining whether or not the battery is abnormal based on the basic data and generating diagnostic information indicating whether or not the battery is abnormal;
The transmission process includes:
A battery management program comprising a process of transmitting information in which the battery ID and the diagnostic information are associated with each other. The battery management program according to any one of claims 1 to 3,
The characteristic analysis data is
A battery management program characterized in that the data represents the degree of deterioration of the battery. The battery management program according to any one of claims 1 to 4,
causing the computer to execute a value-added information generation process that generates value-added information about the battery based on the characteristic analysis data;
The information generation process includes:
A battery management program comprising: generating the battery analysis information in which the battery ID is associated with the added value information in addition to the characteristic analysis data. The battery management program according to any one of claims 1 to 5,
an information amount analysis process for determining the amount of information of the battery analysis information or the amount of calculation required to execute the information generation process;
causing the computer to execute a billing process of transmitting billing information indicating billed reward points according to the amount of information or the amount of calculation to an external computer;
A battery management program that causes the computer to execute the sending process after the payment process for the billing information is completed. The battery management program according to any one of claims 1 to 6,
a history generation process that generates history information regarding the battery analysis information;
a history transmission process of encrypting the history information and storing it in a storage computer;
When history request information is sent from a user terminal, a decryption key for decrypting the history information is sent to the user terminal that is the source of the history request information, and the encrypted history information is sent to the storage computer. A battery management program that causes the computer to execute a transmission command process for transmitting the history request information to the user terminal that is the source of the history request information. a data acquisition process that acquires the basic data from a battery characteristic measuring device that generates a measurement signal in the battery and generates basic data including a discrete measurement signal value and a battery ID from the measurement signal;
an analysis process that obtains the battery ID from the basic data and obtains characteristic analysis data of the battery based on the basic data;
information generation processing that generates battery analysis information in which the battery ID and the characteristic analysis data are associated;
a transmission process of transmitting the battery analysis information;
A battery management device characterized by performing the following. The battery management device according to claim 8,
Execute request reception processing to receive request information sent from the user terminal,
A battery management device characterized in that the transmission processing, or the analysis processing and the transmission processing are executed according to the request information. The battery management device according to claim 8 or 9,
executing an abnormality determination process that determines whether the battery is abnormal based on the basic data and generates diagnostic information indicating whether the battery is abnormal;
The transmission process includes:
A battery management device comprising a process of transmitting information in which the battery ID and the diagnostic information are associated with each other. The battery management device according to any one of claims 8 to 10,
The characteristic analysis data is
A battery management device characterized in that the data represents the degree of deterioration of the battery. The battery management device according to any one of claims 8 to 11,
Executing value-added information generation processing that generates value-added information about the battery based on the characteristic analysis data,
The information generation process includes:
A battery management device comprising a process of generating the battery analysis information in which the battery ID is associated with the added value information in addition to the characteristic analysis data. The battery management device according to any one of claims 8 to 12,
an information amount analysis process for determining the amount of information of the battery analysis information or the amount of calculation required to execute the information generation process;
executing a billing process of transmitting billing information indicating billed reward points according to the amount of information or the amount of calculation to an external computer;
A battery management device characterized in that the transmission process is executed after the payment process for the billing information is completed. The battery management device according to any one of claims 8 to 13,
a history generation process that generates history information regarding the battery analysis information;
a history transmission process of encrypting the history information and storing it in a storage computer;
When history request information is sent from a user terminal, a decryption key for decrypting the history information is sent to the user terminal that is the source of the history request information, and the encrypted history information is sent to the storage computer. A battery management device characterized in that it executes a transmission command process for transmitting the history request information to a user terminal that is a source of the history request information.

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