On-vehicle secondary battery diagnostic device

Abstract

Provided is an in-vehicle secondary battery diagnostic device capable of diagnosing the deterioration state of an in-vehicle secondary battery even if direct information specifying the type and configuration of the secondary battery cannot be obtained. A vehicle-mounted secondary battery diagnostic device is provided with: a storage element that stores a secondary battery database in which the type of a vehicle and the rated battery capacity of a secondary battery are associated with the type of the secondary battery, and correlation data; the correlation data indicates the correlation between the voltage, current, and temperature values for each type of the secondary battery and the deterioration state of the secondary battery, and the acquisition processing element refers to the secondary battery database and acquires the type of the secondary battery based on the type of the vehicle and the rated battery capacity value of the secondary battery mounted in the vehicle. The determination processing element acquires values of voltage, current and temperature during charging or discharging of the secondary battery, and determines the deterioration state of the secondary battery by using correlation data corresponding to the type of the secondary battery based on the values of voltage, current and temperature of the secondary battery.

Description

Technical Field

[0001] The present invention relates to a device for diagnosing a deterioration state of a vehicle-mounted secondary battery. Background Art

[0002] There has been proposed a secondary battery state estimation device that estimates degradation information of the secondary battery using information on the voltage and current of the secondary battery (see Patent Document 1).

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2021-183927 Summary of the invention

[0006] Problems to be solved by the invention

[0007] Regarding the secondary battery used for driving electric vehicles (on-board secondary battery), there is a need to diagnose the degree of deterioration of the secondary battery, for example, during the periodic inspection of the vehicle or when selling it as a used car. There is a certain correlation between the deterioration state of the secondary battery and the voltage and current values ​​of the secondary battery, so the deterioration state of the on-board secondary battery can be diagnosed based on the voltage and current values ​​of the on-board secondary battery.

[0008] However, the correlation between the degradation state and the voltage and current values ​​of the secondary battery varies depending on the type and structure of the secondary battery. Therefore, when diagnosing the degradation state of the secondary battery based on the voltage and current values ​​of the secondary battery, it is required to also obtain information such as the type and structure of the secondary battery (for example, the battery model information).

[0009] When diagnosing the deterioration state of a vehicle-mounted secondary battery, it is sufficient to obtain information that can identify the type and composition of the vehicle-mounted secondary battery, but such information may not be obtained. In order to cope with such a situation, a technology is needed that can identify the type and composition of the vehicle-mounted secondary battery even when direct information for identifying the type and composition of the battery is not available.

[0010] However, the technology of Patent Document 1 does not consider how to determine the type and structure of the secondary battery when direct information for determining the type and structure of the secondary battery cannot be obtained. Therefore, when such information cannot be obtained, the degradation state of the secondary battery cannot be diagnosed based on the voltage and current values ​​of the secondary battery.

[0011] Therefore, an object of the present invention is to provide a vehicle-mounted secondary battery diagnosis device capable of diagnosing the deterioration state of a vehicle-mounted secondary battery even when direct information for specifying the type and configuration of the vehicle-mounted secondary battery is not available.

[0012] Means for solving problems

[0013] The vehicle-mounted secondary battery diagnostic device of the present invention is characterized by comprising:

[0014] an acquisition processing element that acquires data of a vehicle and a secondary battery mounted on the vehicle;

[0015] a storage element storing a secondary battery database and correlation data, in which data determining a vehicle model and data of a value of a rated battery capacity of a secondary battery are associated with data of a model of the secondary battery, and the correlation data indicates a correlation between values ​​of voltage, current, and temperature of each model of the secondary battery and a degradation state of the secondary battery; and

[0016] a determination processing element that determines a degradation state of a secondary battery mounted on the vehicle,

[0017] The acquisition processing element acquires data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle, and acquires data for the model of the secondary battery mounted on the vehicle based on the acquired data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle, and acquires data for the voltage, current and temperature of the secondary battery mounted on the vehicle during charging or discharging;

[0018] The determination processing component determines the degradation state of the secondary battery mounted on the vehicle based on the data of the model of the secondary battery mounted on the vehicle and the data of the values ​​of the voltage, current and temperature of the secondary battery obtained by the acquisition processing component, and uses the correlation data corresponding to the model of the secondary battery.

[0019] According to the research of the inventors, it is possible to identify the type of secondary battery as long as the type of vehicle and the rated battery capacity of the secondary battery mounted on the vehicle are known.

[0020] According to the present invention, a secondary battery database corresponding to data for determining the vehicle model and data for the rated battery capacity of the secondary battery is established and stored in a storage element. Furthermore, an acquisition processing element acquires data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle, and obtains data for the model of the secondary battery mounted on the vehicle based on the data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle with reference to the secondary battery database.

[0021] Then, the decision processing element determines the degradation state of the secondary battery mounted on the vehicle based on the acquired data on the model of the secondary battery mounted on the vehicle and the data on the values ​​of the voltage, current and temperature of the secondary battery, using the correlation data corresponding to the model of the secondary battery mounted on the vehicle.

[0022] Thus, according to the present invention, the model of the secondary battery can be determined based on the vehicle model and the rated battery capacity of the secondary battery installed in the vehicle. Therefore, even if direct information for determining the type and structure of the secondary battery is not available, the degradation state of the vehicle-mounted secondary battery can be diagnosed.

[0023] Brief description of the attached figure

[0024] Figure 1 This is a block diagram showing an overall framework of an example of the vehicle-mounted secondary battery diagnostic device of the present invention.

[0025] Figure 2 This is a diagram showing an example of the content of data used in processing by the vehicle-mounted secondary battery diagnostic device of the present invention.

[0026] Figure 3 This is a flowchart showing an example of the processing contents of the vehicle-mounted secondary battery diagnostic device of the present invention. DETAILED DESCRIPTION

[0027] <Structure of the vehicle-mounted secondary battery diagnostic device>

[0028] First, refer to Figure 1 and Figure 2 The structure of the vehicle-mounted secondary battery diagnostic device of this embodiment is described below. Figure 1 As described above, the vehicle-mounted secondary battery diagnostic device of the present embodiment is configured to include the information processing element 10 , the storage element 30 , and the output element 50 .

[0029] The information processing element 10 is a so-called processor composed of a calculation processing device such as a CPU (Central Processing Unit), a memory, and an I / O (Input / Output) device.

[0030] The information processing element 10 reads and executes a predetermined program, thereby playing the role of, for example, an acquisition processing element 110 and a determination processing element 130 .

[0031] The acquisition processing unit 110 acquires data of the vehicle 90 and the secondary battery 910 mounted on the vehicle.

[0032] The determination processing unit 130 determines the degradation state of the secondary battery 910 mounted on the vehicle 90. The degradation state of the secondary battery 910 is, for example, an estimated value of the ratio of the fully charged dischargeable amount of the secondary battery 910 at the time of data acquisition to the dischargeable amount when the fully charged dischargeable amount of the unused secondary battery 910 is set as 100%.

[0033] Alternatively, the degradation state of the secondary battery 910 may refer to an estimated value of the following numerical value: a value obtained by subtracting the dischargeable capacity of the secondary battery 910 when fully charged at the time of data acquisition from the dischargeable capacity of the secondary battery 910 when fully charged in an unused state, divided by the dischargeable capacity of the secondary battery 910 when fully charged in an unused state.

[0034] Alternatively, the degradation state of the secondary battery 910 may also refer to an estimated value of the following numerical values: a numerical value obtained by subtracting the discharge capacity of the secondary battery 910 when fully charged at the time of data acquisition from the discharge capacity of the secondary battery 910 when fully charged in an unused state, expressed in Ah (or Wh, etc.); a numerical value of the discharge capacity of the secondary battery 910 when fully charged at the time of data acquisition, expressed in Ah.

[0035] The storage element 30 is constituted by a storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a HDD (Hard Disk Drive), for example.

[0036] In addition to the secondary battery database 310 and the correlation data 330 , the storage element 30 also stores processing results of the on-vehicle secondary battery diagnostic device and information used for processing.

[0037] The secondary battery database 310 is a database that establishes a correspondence between data for determining the vehicle model and data of the rated battery capacity value of the secondary battery and data of the model of the secondary battery. Figure 2 As described, the secondary battery database 310 is stored in the storage element in the following form, for example: data for determining the vehicle model, i.e., the vehicle model ID, and data for the value of the rated battery capacity of the secondary battery, i.e., the rated battery capacity, are associated with a battery model code, which is data on the model of the secondary battery and corresponds to a combination of the vehicle model ID and the rated battery capacity. Figure 2 As shown, even if the vehicle model ID is the same, if the rated battery capacity is different, it is also associated with a different battery model code. In addition, if the same secondary battery is installed on different vehicle models, the same battery model code is associated with different vehicle models.

[0038] It should be noted that in Figure 2 , an example of storing data of the rated battery capacity value of a secondary battery in Ah is shown, but data of the rated battery capacity value of a secondary battery may be stored in other units such as Wh instead of Ah, or in addition to Ah.

[0039] Alternatively, the following method may be adopted: in addition to the vehicle model ID and rated battery capacity, the secondary battery database 310 also includes other valid information for determining the model of the secondary battery, and stores the information in correspondence with the battery model code together with the vehicle model ID and rated battery capacity.

[0040] The correlation data 330 is data indicating the correlation between the voltage, current, and temperature values ​​of each type of secondary battery and the degradation state of the secondary battery. For example, the correlation data 330 is a function or calculation formula that calculates the degradation state of the secondary battery 910 mounted on the vehicle 90 using the voltage, current, and temperature values ​​of the secondary battery 910 as input values.

[0041] Alternatively, for example, the correlation data 330 may be the following model: using the voltage values, current values, and temperature values ​​of multiple secondary batteries and the degradation states of the secondary batteries at the time when the values ​​are obtained as learning data, machine learning is performed on the correlation between the voltage values, current values, and temperature values ​​of the secondary batteries and the degradation states, thereby obtaining a learned model, which takes the voltage value, current value, and temperature values ​​of the secondary battery 910 as input values, and outputs the degradation state of the secondary battery 910.

[0042] Alternatively, for example, the correlation data 330 may be a correspondence table that establishes a correspondence between information on a combination of the voltage value, current value, and temperature value (or a range of such values ​​such as “above ○ and less than Δ”) of the secondary battery 910 and the degradation state of the secondary battery 910 mounted on the vehicle 90 .

[0043] It should be noted that the functions, calculation formulas, models, and correspondence tables may correspond one-to-one to each battery model code, or a single function, calculation formula, or model may correspond to multiple battery model codes.

[0044] The output device 50 is, for example, a display, a printer, or a speaker for outputting information to the vehicle-mounted secondary battery diagnostic device.

[0045] Alternatively, the vehicle-mounted secondary battery diagnostic device may further include an input unit (not shown), for example. The input unit is, for example, a pointing device such as a keyboard, a touch panel, or a mouse that receives input from a user.

[0046] The vehicle 90 is an electric vehicle, a PHV vehicle, or a HV vehicle driven by a secondary battery 910 .

[0047] The secondary battery 910 may be any of various secondary batteries that can be used for driving a vehicle, such as a lead storage battery, a nickel-cadmium battery, a nickel-metal hydride battery, or a lithium-ion battery.

[0048] <Overview of the process>

[0049] Next, refer to Figure 3 The processing content of the vehicle-mounted secondary battery diagnostic device of this embodiment is described. The vehicle-mounted secondary battery diagnostic device of this embodiment starts processing when it is connected to an information output terminal for obtaining CAN data from an OBD (On Board Diagnostics) provided in a vehicle 90 via a cable 70, for example, after the power is turned on.

[0050] When the vehicle-mounted secondary battery diagnostic device starts processing, first, the acquisition processing unit 110 acquires data identifying the model of the vehicle 90 and data identifying the value of the rated battery capacity of the secondary battery 910 mounted on the vehicle. Figure 3 / S10). The data for determining the vehicle model refers to, for example, the vehicle frame number. The rated battery capacity of the secondary battery 910 refers to the designed discharge capacity when fully charged (so-called rated capacity) specified by the manufacturer of the secondary battery. Alternatively, for example, under specified conditions, the designed discharge capacity when discharged from a fully charged state (so-called rated capacity) is used as the rated battery capacity.

[0051] The acquisition processing element 110 acquires data for determining the model of the vehicle 90 based on the acquired frame number, for example. That is, for example, one or more data indicating which number of the frame number is information that can determine the model is stored in the storage element 30, and with reference to the data, a candidate for information for determining the model is acquired based on the frame number, and the field of the model ID of the secondary battery database 310 stored in the storage element 30 is searched using the candidate information, and when a corresponding model ID exists, the model ID is identified as data for determining the model of the vehicle 90, and the identified data is acquired as data for determining the model of the vehicle 90.

[0052] The acquisition processing element 110 is connected to an information output terminal or the like for acquiring CAN data from an OBD provided in the vehicle 90, for example, via a cable 70 or the like, and acquires data for determining the vehicle type of the vehicle 90 and data for the value of the rated battery capacity of the secondary battery 910 mounted on the vehicle from the vehicle 90. Alternatively, for example, the acquisition processing element 110 may acquire data from the vehicle 90 via wireless communication. Alternatively, for example, the acquisition processing element 110 may acquire data for determining the vehicle type of the vehicle 90 and data for the value of the rated battery capacity of the secondary battery 910 mounted on the vehicle by accepting input manually inputted by an operator via an input unit.

[0053] Next, the acquisition processing component 110 refers to the secondary battery database 310, and obtains data on the model of the secondary battery 910 mounted on the vehicle 90 based on the data for determining the model of the vehicle 90 and the data on the value of the rated battery capacity of the secondary battery 910 mounted on the vehicle 90 acquired in S10 ( Figure 3 / S30).

[0054] Specifically, the processing element 110 obtains the secondary battery database 310 stored in the storage element 30, and uses a combination of data for determining the model of the vehicle 90 and data of the rated battery capacity value of the secondary battery 910 mounted on the vehicle 90 contained in the CAN data obtained in S10 to search the model ID field and the rated battery capacity field of the secondary battery database 310. When there is a corresponding combination of the model ID and the rated battery capacity, the battery model code corresponding to the combination is identified as data on the model of the secondary battery 910 mounted on the vehicle 90, and the identified data is obtained as data on the model of the secondary battery 910 mounted on the vehicle 90.

[0055] Next, the processing element 110 acquires data of the voltage, current, and temperature of the secondary battery 910 mounted on the vehicle 90 during the period of charging or discharging of the secondary battery 910 ( Figure 3 / S50). That is, for example, CAN data is acquired from the vehicle 90 in a state of charging or discharging, and data on the values ​​of voltage, current, and temperature of the secondary battery 910 during charging or discharging included in the CAN data is acquired.

[0056] Alternatively, for example, the acquisition processing element 110 may also use a separately provided voltmeter, ammeter, and thermometer (not shown) to acquire data on the values ​​of the voltage, current, and temperature of the secondary battery 910. Alternatively, for example, the acquisition processing element 110 may also acquire data on the values ​​of the voltage, current, and temperature of the secondary battery 910 by accepting input manually input by an operator via an input unit.

[0057] Next, the determination processing component 130 determines the degradation state ( ) of the secondary battery 910 mounted on the vehicle 90 based on the data of the model of the secondary battery 910 mounted on the vehicle 90 and the data of the values ​​of the voltage, current, and temperature of the secondary battery 910 acquired by the acquisition processing component 110 and using the correlation data 330 corresponding to the model of the secondary battery 910. Figure 3 / S70).

[0058] More specifically, first, the decision processing component 130 recognizes the data (battery model code) of the model of the secondary battery 910 mounted on the vehicle 90 acquired by the acquisition processing component 110. Then, the decision processing component 130 acquires the correlation data 330 corresponding to the model of the secondary battery 910, that is, the function, calculation formula, model, and correspondence table from the storage component 30.

[0059] Next, the processing element 130 is determined to identify the data of the voltage, current and temperature values ​​of the secondary battery 910 obtained by the acquisition processing element 110, and the identified information is used as an input value of the function, calculation formula, or model input into the correlation data 330 to obtain the value of the degradation state of the secondary battery 910 as an output value, or a corresponding value of the degradation state of the secondary battery 910 is established by referring to a corresponding table to obtain a combination of the data of the voltage, current and temperature values ​​of the secondary battery 910.

[0060] The determination processing component 130 determines the value of the degradation state of the secondary battery 910 obtained in this manner as the degradation state of the secondary battery 910 mounted on the vehicle 90 .

[0061] Then, the decision processing element 130 outputs the above-determined degradation state of the secondary battery 910 mounted on the vehicle 90 to the output element 50 ( Figure 3 / S90), ending this series of processing.

[0062] The decision processing element 130 causes a display device such as a display as the output element 50 to display the degradation state of the secondary battery 910. Alternatively, the decision processing element 130 may output the degradation state of the secondary battery 910 by printing it through a printing device such as a printer, or may output it by playing a sound notifying the value of the degradation state of the secondary battery 910 through an audio device such as a speaker.

[0063] An example of the embodiment of the vehicle-mounted secondary battery diagnostic device of the present invention has been described above, but the present invention is not limited thereto and can be modified in various ways as long as the effects of the present invention can be achieved.

[0064] That is, for example, in the above description, an embodiment in which the secondary battery database 310 and the related relationship data 330 are stored in the storage element 30 of the vehicle-mounted secondary battery diagnostic device is described, but it is not limited to this. For example, one or both of the secondary battery database 310 and the related relationship data 330 may also be stored in other computers not shown. In this case, the acquisition processing element 110 may also be configured to treat the other computer as a part of the storage element 30, and refer to the secondary battery database 310 and the related relationship data 330 stored in the other computer via a wired or wireless communication line to perform the above-mentioned processing.

[0065] Explanation of symbols

[0066] 10...information processing element, 30...storage element, 50...output element, 90...vehicle, 110...acquisition processing element, 130...determination processing element, 310...secondary battery database, 330...correlation data, 910...secondary battery.

Claims

1. A vehicle-mounted secondary battery diagnostic device, characterized in that: have: an acquisition processing element that acquires data of a vehicle and a secondary battery mounted on the vehicle; a storage element storing a secondary battery database and correlation data, in which data determining a vehicle model and data of a value of a rated battery capacity of a secondary battery are associated with data of a model of the secondary battery, and the correlation data indicates a correlation between values ​​of voltage, current, and temperature of each model of the secondary battery and a degradation state of the secondary battery; and a determination processing element that determines a degradation state of a secondary battery mounted on the vehicle, The acquisition processing element acquires data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle, and acquires data for the model of the secondary battery mounted on the vehicle based on the acquired data for determining the vehicle model and data for the rated battery capacity of the secondary battery mounted on the vehicle, and acquires data for the voltage, current and temperature of the secondary battery mounted on the vehicle during charging or discharging; The determination processing component determines the degradation state of the secondary battery mounted on the vehicle based on the data of the model of the secondary battery mounted on the vehicle and the data of the voltage, current and temperature values ​​of the secondary battery obtained by the acquisition processing component, and uses the correlation data corresponding to the model of the secondary battery.

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