Method for estimating SOH when charging battery using limited data

Abstract

The present invention relates to a method for estimating SOH when charging a battery using limited data, and more specifically, to a method in which, when charging a battery from an electric vehicle, limited charging information is used to estimate the SOH of the battery, even if direct data for estimating the SOH is not provided, by estimating the amount of charge being supplied to the battery of the electric vehicle.

Description

How to estimate the state of health (SOH) of a battery during charging with limited data

[0001] The present invention relates to a method for estimating the SOH of a battery when charging with limited data, and more particularly, to a method for estimating the SOH of a battery by estimating the amount of charge supplied to the battery of an electric vehicle using limited charging information even when direct data for estimating the SOH is not provided when charging the battery from an electric vehicle.

[0002] Electric vehicles are vehicles equipped with batteries and powered by electricity generated from the batteries. These electric vehicles are attracting increasing public interest because they produce virtually no carbon emissions and are more economical than internal combustion engine vehicles.

[0003] Batteries typically installed in electric vehicles are designed to be used for a long time until their lifespan ends by repeatedly charging and discharging.

[0004] Therefore, in order to efficiently manage batteries and improve the safety of electric vehicles, it is very important to accurately estimate the state of health (SOH), which indicates how much the current performance of the battery has deteriorated compared to the initial performance of the battery.

[0005] SOH (state of health), which is information indicating the lifespan or condition of a battery, is a performance index that compares the current condition of the battery to the initial condition (new product) of the battery, and is used as an indicator of how good the performance of the battery is.

[0006] In particular, electric vehicles often do not provide SOH when charging their batteries. Therefore, SOH must be estimated, which requires sensor data such as current, voltage, charge, and temperature measured from the battery.

[0007] More specifically, in order to estimate the SOH when charging an electric vehicle battery, the amount of charge supplied to the battery during charging (passed charge) must be calculated, but to calculate the amount of charge, a current (charging current) value is required.

[0008] In addition, when charging an electric vehicle, after setting the SOC section, charging is performed by setting the charging rate, voltage (charging voltage), and current (charging current) differently for each section, which makes it difficult to estimate the SOH.

[0009] Also, when charging an electric vehicle, the electric vehicle provides the charging rate, interior temperature, exterior temperature, or a combination of these, but depending on the manufacturer, it may not provide the charging voltage or charging current.

[0010] Furthermore, while conventional techniques allow for easily calculating the SOH for any SOC interval using the formula passed_charge(old) / passed_charge(new), the accuracy of the SOC provided by each manufacturer varies, as do the methods used to calculate it. Because the SOC values ​​provided by each manufacturer are estimated using various SOC algorithms, they may perform well in certain intervals or exhibit different error rates.

[0011] Therefore, it is necessary to use the SOC value from the section with the best SOC estimation performance. Furthermore, because the SOC values ​​provided by each manufacturer have different error rates for each section, it is necessary to use different SOC values ​​from each manufacturer. For example, if the SOC error rate is high, a large delta SOC should be used to reduce the error rate when calculating SOH with the same current error.

[0012] Accordingly, the present invention proposes a method for estimating the SOH of an electric vehicle when charging by dividing the charging section into multiple detailed charging sections according to charging information provided by the electric vehicle when charging the electric vehicle and estimating the amount of charge supplied to the battery in a specific detailed charging section among the detailed charging sections.

[0013] That is, the present invention aims to objectively and accurately estimate the SOH of a battery using limited data (information) provided when charging an electric vehicle.

[0014] Next, we will briefly explain the prior art existing in the technical field of the present invention, and then describe the technical details that the present invention seeks to achieve differently from the prior art.

[0015] First, Korean Patent Publication No. 2023-0101789 (July 6, 2023) relates to a battery SOH estimation system, a parameter extraction system and method therefor, and when estimating the SOH of a battery, the battery receives voltage and current values ​​measured at preset cycles, calculates a response function in the frequency domain, and a rate of change in the voltage value and charge capacity of the battery, thereby estimating the state of health (SOH) of the battery, and relates to a parameter extraction system and method therefor.

[0016] That is, Korean Patent Publication No. 2023-0101789 estimates SOH by receiving sensor data (voltage and current values) directly measured from the battery when charging the battery.

[0017] On the other hand, the present invention estimates SOH using charging information of an electric vehicle even when sensor data measured directly from the battery is not received when charging the battery, so there is a significant difference between the present invention and Korean Patent Publication No. 2023-0101789 in terms of their technical configuration, purpose, and effect.

[0018] In addition, Korean Patent No. 1777334 (September 5, 2017) relates to a battery SOH estimation device and method, which receives current sensing data, voltage sensing data, and temperature sensing data, which are sensing data of a battery, after charging or discharging the battery, to calculate a first SOC, and receives the current sensing data, voltage sensing data, and temperature sensing data after a subsequent discharge or charge after the charging or discharging, to calculate a second SOC, and then calculates the SOH of the battery using the amount of change in the first and second SOC.

[0019] That is, Korean Patent No. 1777334 estimates SOH using sensor data directly measured from the battery, and does not describe at all the method proposed in the present invention for estimating battery SOH using charging information when charging an electric vehicle. Therefore, the two inventions differ significantly in their technical structure and effectiveness.

[0020] The present invention was created to solve the above problems, and its purpose is to provide a method for estimating SOH using charging information when charging a battery of an electric vehicle, even when direct data for SOH estimation is not provided.

[0021] In addition, the present invention provides a method for estimating SOH by dividing a charging section into a plurality of detailed charging sections using a rate of change of charging current, a level of charging current, a rate of change of charging voltage, a level of charging voltage, or a combination thereof according to charging information when charging an electric vehicle, and calculating the amount of supplied charge supplied to a battery in a specific detailed charging section with the highest accuracy of SOC provided as charging information.

[0022] In addition, the present invention aims to provide a method for calculating a charging current using a charging rate of charging information when charging information does not include a charging current, and for distinguishing the detailed charging section using a rate of change of the calculated charging current and a level of the charging current.

[0023] In addition, the present invention aims to provide a method for estimating the SOH of a battery by calculating the ratio of the reference supply charge estimated when the battery is new (new product) to the calculated supply charge.

[0024] According to one embodiment of the present invention, a method for estimating SOH when charging a battery includes a charging information receiving step for receiving charging information when charging a battery of an electric vehicle, a detailed charging section dividing step for dividing a charging section of the battery into a plurality of detailed charging sections according to the charging information, a passed charge calculation step for calculating a supplied charge amount supplied to the battery during a predetermined period of time during which the state of charge (SOC) changes at a predetermined SOC change rate (delta SOC) according to the received charging information in any one specific detailed charging section among the plurality of detailed charging sections divided into the divided sections, a reference supplied charge amount estimation step for estimating a reference supplied charge amount supplied to the battery during a predetermined period of time during which the SOC changes at the predetermined SOC change rate according to the received charging information in the specific detailed charging section when the battery is new, and an SOH estimation step for estimating the SOH of the battery using the calculated supplied charge amount and the estimated reference supplied charge amount, thereby estimating the SOH.

[0025] In addition, the charging information is characterized by including SOC, charging rate (c-rate), charging current, charging voltage, internal temperature of the electric vehicle, external temperature, or a combination thereof.

[0026] In addition, the specific detailed charging section is characterized by including any one of a preliminary charging section which is an initial charging section of the battery, a constant current charging section which charges the battery with a constant current, a constant voltage charging section which charges the battery with a constant voltage, or a charging completion section which completes charging of the battery.

[0027] In addition, the method for estimating the SOH is characterized in that it further includes a charging current calculation step of calculating the charging current using a charging rate (c-rate) included in the charging information when the charging current is not included in the received charging information.

[0028] In addition, the step of distinguishing between detailed charging sections is characterized in that, when the charging information includes charging current and charging voltage, the charging section of the battery is distinguished into the plurality of detailed charging sections using the rate of change of the charging current, the level of the charging current, the rate of change of the charging voltage, the level of the charging voltage, or a combination thereof; and, when the charging information includes the charging voltage but does not include the charging current, the charging section of the battery is distinguished into the plurality of detailed charging sections using the rate of change of the calculated charging current, the level of the calculated charging current, the rate of change of the charging voltage, the level of the charging voltage, or a combination thereof; and, when the charging information does not include the charging current and the charging voltage, the charging section of the battery is distinguished into the plurality of detailed charging sections using the rate of change of the calculated charging current, the level of the calculated charging current, or a combination thereof.

[0029] In addition, the step of calculating the supply charge is characterized in that, when the charging information includes a charging current, the supply charge is calculated using the charging current for a predetermined time period during which the SOC changes at a predetermined SOC change rate in the specific detailed charging section, and when the charging information does not include a charging current, the supply charge is calculated using the calculated charging current for a predetermined time period during which the SOC changes at a predetermined SOC change rate in the specific detailed charging section.

[0030] In addition, the reference supply charge estimation step is characterized in that the reference supply charge is estimated by inputting the charging rate, the internal temperature of the electric vehicle, the external temperature, the SOC change rate, or a combination thereof among the received charging information for the specific detailed charging section as input data to the DNN model for estimating the reference supply charge.

[0031] In addition, the DNN model for estimating the reference supply charge is characterized in that it is generated by learning learning data that labels the reference supply charge by a feature data set including a charging rate, an internal temperature of an electric vehicle, an external temperature, an SOC change rate, or a combination thereof among the charging information collected for each of the multiple detailed charging sections when multiple batteries are new.

[0032] In addition, a device for estimating SOH when charging a battery according to one embodiment of the present invention is characterized by comprising: a memory for storing a program implementing a method for estimating SOH when charging a battery; and a processor configured to execute the program stored in the memory.

[0033] As described above, the present invention has the effect of objectively and accurately estimating the SOH of a battery when charging a battery mounted on an electric vehicle by estimating the SOH of the battery through charging information even when direct data for estimating the SOH is not provided.

[0034] FIG. 1 is a diagram illustrating the difficulty in predicting SOH when charging a battery of an electric vehicle according to one embodiment of the present invention.

[0035] FIG. 2 is a diagram illustrating a method for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0036] FIG. 3 is a drawing illustrating a method of dividing a charging section into detailed charging sections and a method of estimating SOH according to one embodiment of the present invention.

[0037] FIG. 4 is a diagram illustrating a method of dividing a charging section into detailed charging sections and a method of estimating SOH according to another embodiment of the present invention.

[0038] FIG. 5 is a diagram illustrating a method for generating a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention.

[0039] FIG. 6 is a block diagram showing the configuration of a DNN model generation device for estimating a reference supply charge amount according to one embodiment of the present invention.

[0040] FIG. 7 is a block diagram showing the configuration of a device for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0041] FIG. 8 is a flowchart illustrating a procedure for generating a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention.

[0042] FIG. 9 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0043] FIG. 10 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to another embodiment of the present invention.

[0044] FIG. 11 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to another embodiment of the present invention.

[0045] [Description of symbols] 100: A device for estimating SOH when charging a battery with limited data; 110: A charging information receiving unit; 120, 220: A charging current calculating unit; 130, 230: A detailed charging section distinguishing unit; 140: A supply charge calculating unit; 150: A reference supply charge estimating unit; 160: An SOH estimating unit; 200: A DNN model generating unit for estimating a reference supply charge; 210: A charging information collecting unit; 240: A learning data generating unit; 250: A learning unit; 300: A database.

[0046] Hereinafter, with reference to the attached drawings, a preferred embodiment of a method for estimating the SOH of a battery during charging using limited data of the present invention will be described in detail. Like reference numerals in each drawing represent like elements. In addition, specific structural and functional descriptions of embodiments of the present invention are merely illustrative for the purpose of explaining embodiments according to the present invention, and unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning they have in the context of the related art, and are preferably not interpreted in an ideal or excessively formal sense unless explicitly defined herein.

[0047] FIG. 1 is a diagram illustrating the difficulty in predicting SOH when charging a battery of an electric vehicle according to one embodiment of the present invention.

[0048] When charging an electric vehicle (i.e., charging the battery), the SOH of the battery can be estimated by calculating the amount of charge supplied to the battery (supply charge).

[0049] However, as illustrated in Fig. 1, in order to calculate the amount of passed charge supplied to the battery from the charging device (not shown) in a charge cycle (i.e., an arbitrary SOC change section) according to the charging of the battery mounted on the electric vehicle, sensor data (current, voltage, charge, temperature, etc.) directly measured from the battery and the amount of passed charge supplied to the battery during the previous charge are required to estimate the SOH.

[0050] However, electric vehicles provide charging information, including SOC, charge rate, charge voltage, charge current, external temperature, indoor temperature, or a combination of these during charging. In particular, some manufacturers provide limited charging information (data) that does not include charge voltage, charge current, or a combination of these, making it difficult to calculate the amount of charge supplied.

[0051] Additionally, there are various methods for charging batteries, such as CC (constant current)-CV (constant voltage), CP (constant power)-CV, pulse charging, and multi-level charging.

[0052] The above CC-CV method charges with a constant current until the initial SOC is approximately 80%, and then charges with a constant voltage at the end. CP-CV is similar to CC-CV in that it initially charges with a high current and then charges with a constant voltage at the end. However, because it proposes a voltage increase, it has the disadvantage of lower charging efficiency than CC-CV. In other words, CC-CV or CP-CV refers to a method of dividing the charging section into sub-charge sections according to the SOC and charging with a constant current or constant voltage.

[0053] Pulse charging is a method of charging faster in the charging section where a constant voltage is charged by applying a fine pulse (frequency) to the charging current. It has the advantage of charging the battery quickly, but it is not a good charging method for the battery life.

[0054] The above multi-level charging method refers to a method of charging by changing the current value for each set SOC section (detailed charging section).

[0055] Below, we will explain in detail the CC-CV charging method, which is the most commonly used method when charging an electric vehicle battery, as an example.

[0056] Meanwhile, in any SOC section provided by the SOC as charging information, the SOH can be easily obtained by calculating the ratio of the previously supplied charge (passed charge (old)) to the currently supplied charge (passed charge (new)) to the supplied charge to the battery according to the prior art. However, since the SOC provided by each manufacturer is also a value estimated in various ways, there is a problem with low accuracy. Furthermore, if the SOH is estimated based on such SOC, there is a problem with low SOH accuracy.

[0057] Additionally, various algorithms for estimating SOC by manufacturer may perform well (high accuracy) in specific detailed charging sections depending on the charging method, or may have different error rates in each detailed charging section.

[0058] Accordingly, the present invention aims to provide a method for accurately estimating the SOH of a battery by setting specific detailed charging sections with high SOC accuracy differently for each manufacturer.

[0059] More specifically, the present invention divides the charging section of a battery into multiple sub-charging sections according to the charging information of the battery received from an electric vehicle, and provides a method for accurately estimating the SOH of a battery by calculating the amount of charge supplied to the battery during the time when the SOC changes at a predetermined SOC change rate in a specific sub-charging section set by each manufacturer to have the highest SOC accuracy.

[0060] For example, one embodiment of the present invention includes calculating the SOC by measuring the OCV and the amount of charge using an indirect measurement method, comparing the calculated result with the provided SOC for evaluation, thereby deriving and setting the section with the highest SOC accuracy for each manufacturer. However, since there may be various methods for determining the section with the highest SOC accuracy, the above method is only an example and is not limited thereto.

[0061] In addition, in order to estimate the SOH, the amount of charge supplied to the battery when the battery is new under the same conditions as the current supply charge calculated (i.e., the reference supply charge) must be estimated. In other words, the SOH is estimated using the calculated supply charge and the estimated reference supply charge in the same detailed charging section.

[0062] Here, the amount of charge (Q) supplied to the battery during charging is calculated by integrating I(current)dt (current integration method). That is, the current (I) is defined as the amount of unit charge (Q) with respect to time.

[0063] Accordingly, the present invention provides a method for estimating the SOH of a battery by generating a DNN model for estimating a reference supply charge amount, which estimates the amount of charge (i.e., a reference supply charge amount) supplied to the battery for a predetermined period of time during which the SOC changes at a predetermined SOC change rate in a specific detailed charging section with the highest SOC accuracy set by each manufacturer among the charging sections when the battery is new through an artificial intelligence method, and estimating the reference supply charge amount through the DNN model for estimating the reference supply charge amount.

[0064] FIG. 2 is a diagram illustrating a method for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0065] As illustrated in FIG. 2, a device (100) for estimating SOH when charging a battery with limited data according to one embodiment of the present invention (hereinafter referred to as an SOH estimation device) receives charging information of an electric vehicle from a charging information providing device when charging a battery of an electric vehicle.

[0066] The above charging information providing device can be configured to be connected to an OBD (on board diagnostics) of an electric vehicle and receive driving information from the OBD and provide the information to an SOH estimation device (100).

[0067] In other words, the charging information providing device refers to a third party that provides charging information of an electric vehicle to the SOH estimation device (100) by being equipped with a communication function. Ultimately, the SOH estimation device (100) receives charging information of the electric vehicle (i.e., battery charging information) from the electric vehicle through the charging information providing device.

[0068] At this time, charging information may include state of charge (SOC), charge rate, charge voltage, charge current, the external temperature of the electric vehicle, internal temperature, or a combination thereof. Depending on the manufacturer, charging information may be provided as limited data that does not include charge voltage, charge current, or a combination thereof.

[0069] Additionally, the SOH estimation device (100) uses the received charging information to divide the charging section according to the charging of the battery into multiple detailed charging sections.

[0070]

[0071] *In addition, the SOH estimation device (100) calculates the amount of charge supplied to the battery according to the SOC change rate (delta SOC) set in advance in a specific detailed charging section among the divided detailed charging sections.

[0072] That is, the SOH estimation device (100) calculates the amount of charge supplied to the battery for a predetermined period of time during which the SOC changes at a predetermined SOC change rate (delta SOC) set in advance in a specific detailed charging section.

[0073] The division of the charging section into detailed charging sections according to the charging of the above battery will be described in detail with reference to FIGS. 3 and 4.

[0074] The above supply charge amount is calculated by integrating the charging current (charging current value) for a predetermined time period during which the SOC changes at a predetermined SOC change rate set in advance over the corresponding time period.

[0075] The above-described SOC change rate is set to % (e.g., 3%), and the change in SOC at the predetermined SOC change rate can be performed by monitoring the SOC included in the charging information.

[0076] In addition, the SOH estimation device (100) estimates the reference supply charge amount, which is the supply charge amount supplied to the battery according to the SOC change rate (delta SOC) in a specific detailed charging section when the battery is a new battery (i.e., a battery at the time of manufacture).

[0077]

[0078] *The above estimation utilizes a DNN model for estimating reference supply charge. This DNN model is created to estimate the reference supply charge supplied to a new battery based on the SOC change rate and charging information during a specific detailed charging interval.

[0079] That is, the DNN model for estimating the reference supply charge is created to estimate the supply charge (i.e., the reference charge, the reference supply charge) when the battery is new under the same conditions in order to estimate the SOH of the battery based on the supply charge calculated according to the current battery charge information.

[0080] The creation of the DNN model for estimating the above reference supply charge amount is described in detail with reference to Fig. 5.

[0081] In addition, the SOH estimation device (100) estimates the SOH of the battery by calculating the ratio (a / b) of the estimated reference supply charge (a) to the calculated supply charge (b).

[0082] The division of the above charging section into sub-charging sections may vary depending on whether the charging information includes charging current, charging voltage, or a combination thereof. A detailed description of this will be provided with reference to FIGS. 3 and 4.

[0083] FIG. 3 is a drawing illustrating a method of dividing a charging section into detailed charging sections and a method of estimating SOH according to one embodiment of the present invention.

[0084] FIG. 3 illustrates a case where charging information includes charging current and charging voltage. As illustrated in FIG. 3, the SOH estimation device (100) receives charging information in real time during charging and plots SOC, charging current, and charging voltage as a graph, thereby dividing the charging section into multiple detailed charging sections according to the charging.

[0085] At this time, it can be divided into multiple detailed charging sections according to the rate of change of charging current, rate of change of charging voltage (i.e., the result of differentiating charging current and charging current by unit time), level of charging current, level of charging voltage, or a combination thereof.

[0086] For example, if the rate of change of the charging current is within the current rate of change range, the rate of change of the charging voltage is within the first voltage rate of change range, the level (current value) of the charging current is within the first current level range, and the level (voltage value) of the charging voltage is within the first voltage level range, it can be classified as the first charging section.

[0087] The above first charging section may be a preliminary charging section in which the rate of change in the charging voltage is large and charging is performed at a low level of charging current (constant current).

[0088] As another example, if the rate of change of the charging current is within the current rate of change threshold range, the rate of change of the charging voltage is within the second voltage rate of change range, the level of the charging current is within the second current level range, and the level of the charging voltage is within the second voltage level range, it can be classified as a second charging section.

[0089] The above second charging section may be a CC charging section (constant current charging section) in which the charging voltage increases while charging at a high level of charging current (constant current).

[0090] As another example, if the rate of change of the charging current has a value of ??, the rate of change of the charging voltage is within the third voltage rate range, and the level of the charging voltage is within the third voltage level range, it can be classified as a third charging section.

[0091] The above third charging section may be a CV charging section (constant voltage charging section) in which the charging current is reduced and the battery is charged at a constant voltage.

[0092] As another example, if the rate of change of the charging current is within the current change rate range, the level of the charging current is within the third current level range, the rate of change of the charging voltage is within the third voltage change rate range, and the level of the charging voltage is within the fourth voltage level range, it can be classified as a fourth charging section.

[0093] The above-mentioned fourth charging section may be a charging completion section in which charging is completed at a constant voltage while the level of the charging current is the terminal current value.

[0094] Figure 3 illustrates the charging period until the battery is fully charged, divided into four sections, using CC-CV or multi-level charging. However, the present invention can be applied to various charging methods such as CP-CV, pulse charging, etc. in addition to CC-CV or multi-level charging, and can be divided into multiple sections using the rate of change of charging current, charging voltage, or a combination thereof, and the level of charging current.

[0095] In addition, the SOH estimation device (100) calculates the amount of charge supplied to the battery during a given period of time by integrating the charging current during a given period of time during which the SOC changes at a given SOC change rate in a specific sub-charging section among the divided charging sub-sections.

[0096] The above specific detailed charging section includes any one of a preliminary charging section which is an initial charging section of the battery, a constant current charging section which charges the battery with a constant current, a constant voltage charging section which charges the battery with a constant voltage, or a charging completion section which completes charging of the battery, which may vary depending on the manufacturer of the battery.

[0097] In addition, the SOH estimation device (100) estimates the reference supply charge amount by inputting the charging rate, internal temperature of the electric vehicle, external temperature, SOC change rate, or a combination thereof among the received charging information for the specific detailed charging section into the DNN model for estimating the reference supply charge amount generated for the specific detailed charging section when the battery is new, thereby estimating the reference supply charge amount. Thereafter, the SOH estimation device (100) estimates the SOH of the battery using the estimated reference supply charge amount and the calculated supply charge amount.

[0098] Meanwhile, in cases where the charging voltage is not included in the charging information, the charging section can be divided into multiple detailed charging sections using the rate of change in the charging current, and in cases where the charging current is not included, the charging section can be divided into multiple detailed charging sections using the rate of change in the charging voltage.

[0099] Meanwhile, when calculating the supply charge, a charging current is required. If the charging information does not include the charging current, the SOH estimation device (100) can calculate the charging current using the charging rate.

[0100] The charge rate is the charge current (ah) / capacity (ah), and the capacity refers to the nominal capacity (capacity at the time of manufacture). Since the nominal capacity is given, the nominal capacity can be provided as charge information. Therefore, the charge current can be calculated as the charge rate x capacity.

[0101] That is, the SOH estimation device (100) can distinguish the charging section using the rate of change of the charging current, the level of the charging current, the rate of change of the charging voltage, the level of the charging voltage, or a combination thereof, and in cases where the charging current is not included in the charging information, the charging current can be calculated using the charging rate.

[0102] FIG. 4 is a diagram illustrating a method of dividing a charging section into detailed charging sections and a method of estimating SOH according to another embodiment of the present invention.

[0103] FIG. 4 illustrates a case where neither the charging voltage nor the charging current is included in the charging information. As illustrated in FIG. 4, the SOH estimation device (100) receives charging information in real time during charging, calculates the charging current according to the charging rate of the charging information, and plots it as a graph, thereby dividing the charging section of the battery into multiple detailed charging sections.

[0104] At this time, multiple detailed charging sections are distinguished according to the rate of change of the calculated charging current, the level of the charging current, or a combination thereof, as described with reference to Fig. 3, so they are omitted here.

[0105] In addition, the SOH estimation device (100) calculates the amount of charge supplied to the battery during a predetermined period of time by integrating the charging current during a predetermined period of time during which the SOC changes at a predetermined SOC change rate in a specific detailed charging period among the charging detailed periods divided by the calculated charging current.

[0106] In addition, the SOH estimation device (100) estimates the reference supply charge amount using the DNN model for estimating the reference supply charge amount generated for the specific charging section and the charging information received for the specific detailed charging section, and estimates the SOH of the corresponding battery using the estimated reference supply charge amount and the calculated supply charge amount.

[0107] That is, as illustrated in FIGS. 3 and 4, when the charging information includes charging current and charging voltage, the SOH estimation device (100) divides the charging section of the battery into a plurality of detailed charging sections using the rate of change of the charging current, the level of the charging current, the rate of change of the inter-charge voltage, the level of the charging voltage, or a combination thereof; when the charging information includes the charging voltage but does not include the charging current, the charging section of the battery is divided into a plurality of detailed charging sections using the rate of change of the charging current calculated using the charging rate, the level of the charging current, the rate of change of the charging voltage included in the charging information, the level of the charging voltage, or a combination thereof; or when neither the charging current nor the charging voltage is included, the charging section of the battery is divided into a plurality of detailed charging sections using the rate of change of the charging current calculated using the charging rate, the level of the charging current, or a combination thereof.

[0108] FIG. 5 is a diagram illustrating a method for generating a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention.

[0109] As illustrated in FIG. 5, a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention is generated through a DNN model generation device (200) for estimating a reference supply charge amount (hereinafter referred to as a DNN model generation device).

[0110] The above DNN model generation device (200) generates learning data by labeling the reference supply charge amount in a feature data set including the SOC change rate (delta SOC), the charging rate (c-rate), the internal temperature of the electric vehicle, the internal temperature, or a combination thereof in a specific detailed charging section when the battery is new.

[0111] In addition, the DNN model generation device (200) trains a pre-prepared DNN (deep neural network) using each generated learning data to generate a DNN model for estimating the reference supply charge amount.

[0112] That is, the DNN model generation device (200) generates a DNN model for estimating a reference supply charge amount to estimate a reference supply charge amount supplied for a predetermined period of time in which the SOC changes at a predetermined SOC change rate (i.e., delta SOC) in a specific charging subsection that can most accurately estimate the SOH for each manufacturer of the battery when the battery is new.

[0113] At this time, the amount of charge supplied to the battery during charging is correlated with the charging rate and the external temperature, internal temperature, or a combination thereof of the electric vehicle. Therefore, the DNN model generation device (200) of the present invention is configured to train the DNN using learning data composed of charging information including the charging rate, external temperature, internal temperature, SOC change rate, or a combination thereof.

[0114] The above DNN is configured to include an input layer including a plurality of input nodes, a hidden layer including a plurality of hidden nodes, and an output layer including an output node.

[0115] Each input node of the input layer and each hidden node of the hidden layer, and each hidden node of the hidden layer and each output node of the output layer are each connected through a link having a predetermined weight.

[0116] The above input layer receives the SOC change rate, charging rate, internal temperature, internal temperature, or a combination thereof, which constitute the learning data.

[0117] For example, if the SOC change rate is configured to be input to the first input node of the DNN, the SOC change rate in the training data is arranged to be input to the first input node.

[0118] The output node of the above output layer is configured to output a learning result (reference supply charge) according to the input, and since the DNN model generation device (200) already knows the result (reference supply charge) according to the input input to the input layer during the learning process, it updates (adjusts) the weight of the link to reduce the error between the learning result output during the learning process and the actual reference supply charge.

[0119] The above learning is performed by updating the weights through the backpropagation method, which allows the error to be reduced by backpropagating the error to the DNN.

[0120] At this time, the DNN that has completed learning by learning all learning data becomes the DNN model for estimating the reference supply charge.

[0121] Here, the input of the DNN model for estimating the reference supply charge amount is the charging rate, internal temperature, internal temperature, SOC change rate, or a combination thereof included in the charging information of an actual electric vehicle, and the output is the amount of charge supplied to the battery according to the SOC change rate in a specific detailed charging section when the battery is new (i.e., the reference supply charge amount).

[0122] Meanwhile, a DNN model for estimating the reference supply charge is generated for each sub-charging section. This is to prevent cases where the SOH cannot be estimated if a specific sub-charging section is not included in the result of the charging section classification. Therefore, the SOH can be estimated by estimating the reference supply charge for other sub-charging sections according to a pre-set priority.

[0123] Accordingly, when the SOH estimation device (100) does not include a specific detailed charging section as a result of dividing the charging section, it calculates the supply charge amount supplied to the battery in another detailed charging section according to a preset priority, and estimates the reference supply charge amount supplied when the battery is new in the other detailed charging section through a DNN model for estimating the reference supply charge amount, thereby estimating the SOH.

[0124] At this time, the SOC change rate must be set differently for each detailed charging section. This is because the SOC provided as charging information by each manufacturer has a different error rate for each detailed charging section. Therefore, for detailed charging sections with a large SOC error rate, the SOC change rate is set relatively larger than for detailed charging sections with a small error rate. This minimizes the error rate for SOH when estimating SOH with the same charging current error, enabling accurate SOH estimation.

[0125] FIG. 6 is a block diagram showing the configuration of a DNN model generation device for estimating a reference supply charge amount according to one embodiment of the present invention.

[0126] As illustrated in FIG. 6, a DNN model generation device (200) according to an embodiment of the present invention is configured to generate a DNN model for estimating a reference supply charge amount for estimating a reference supply charge amount, which is an amount of charge supplied to a battery for a predetermined period of time during which the SOC changes according to the SOC change rate in a specific detailed charging section when the battery is new, and includes a charging information collection unit (210), a charging current calculation unit (220), a detailed charging section distinction unit (230), a learning data generation unit (240), and a learning unit (250).

[0127] The charging information collection unit (210) collects charging information based on the charging of a new battery in an electric vehicle. This charging information is collected for learning purposes and is collected during the initial charging process, from a complete discharge to a full charge, when the battery is new. This charging information can be collected through a charging information provision device installed in the electric vehicle.

[0128] The charging current calculation unit (220) calculates the charging current using the charging rate included in the charging information when the collected charging information does not include the charging current. Calculating the charging current using the charging rate is described with reference to FIG. 4 and is therefore omitted here.

[0129] The above detailed charging section division unit (230) divides the charging section according to the charging of the electric vehicle into multiple detailed charging sections according to the received charging information.

[0130]

[0131] *The above detailed charging section division unit (230) divides the charging section into detailed charging sections using the rate of change of charging current, the level of charging current, the rate of change of charging voltage, the level of charging voltage, or a combination thereof according to the above charging information.

[0132] The division into the above detailed charging sections has been explained with reference to FIGS. 3 and 4, so it is omitted here.

[0133] The above learning data generation unit (240) is provided to generate learning data for training a DNN to estimate a reference supply charge amount using charging rate, internal temperature of an electric vehicle, external temperature, and SOC change rate among charging information collected for each of a plurality of detailed charging sections.

[0134] The above learning data generation unit (240) arranges (arranges) charging information collected for each detailed charging section, such as charging rate, internal temperature, external temperature, SOC change rate, or a combination thereof, to fit the input of the DNN to form a feature data set, and labels the reference supply charge amount for each feature data set to generate learning data.

[0135] The above reference supply charge is labeled for each feature data set and can be experimentally or empirically added according to the SOC change rate when charging a new battery mounted on an electric vehicle under various environments (e.g., temperature, charging rate).

[0136] In the present invention, there is no limitation on the method for labeling the reference supply charge, and the learning data can be configured and provided in advance.

[0137] The above DNN can be composed of various artificial intelligence learning networks such as a deep convolutional neural network (DCNN), a transformer, a temporal convolutional neural network (TCNN), a convolutional neural network (CNN), a recurrent neural network (RNN), and a general regression neural network (GRNN).

[0138] The above learning unit (250) trains the DNN with learning data generated through the learning data generation unit (240) to generate a DNN model for estimating the reference supply charge amount.

[0139] It is preferable that the above-mentioned DNN model for estimating the reference supply charge be generated for each specific detailed charging section of each battery according to the manufacturer, but as described above, it can be generated for each detailed charging section.

[0140] The method for performing the above learning is described with reference to Fig. 5, so it is omitted here.

[0141] FIG. 7 is a block diagram showing the configuration of a device for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0142] As illustrated in FIG. 7, an SOH estimation device (100) according to one embodiment of the present invention is configured to include a charging information receiving unit (110), a charging current estimation unit (120), a detailed charging section distinguishing unit (130), a supply charge amount calculation unit (140), a reference supply charge amount estimation unit (150), and an SOH estimation unit (160).

[0143] The charging information receiving unit (110) receives charging information when charging a battery mounted on an electric vehicle. The charging information is received from a charging information providing device and is configured to include SOC, charging rate, charging current (i.e., current value), charging voltage (i.e., voltage value), internal temperature of the electric vehicle, external temperature, or a combination thereof.

[0144] The above driving information providing device can transmit charging information to the SOH estimation device (100) in real time or periodically.

[0145] The above charging current calculation unit (120) calculates the charging current using the charging rate when the received charging information does not include the charging current (or the charging voltage and charging current).

[0146] Calculating the charging current using the above charging rate is described with reference to Fig. 4, so it is omitted here.

[0147] The above detailed charging section division unit (130) divides the charging section according to the battery charging into multiple detailed charging sections using the rate of change of the charging current, the level of the charging current, the rate of change of the charging voltage, or a combination thereof according to the charging information.

[0148] The above charging section can be divided into four sub-charging sections including a preliminary charging section, a constant current charging section, a constant voltage charging section, and a charging completion section.

[0149] The above detailed charging section division unit (130) divides the charging section into detailed charging sections using the charging current and charging voltage included in the charging information when the charging information includes the charging current and charging voltage.

[0150] The above detailed charging section division unit (130) divides the charging section into detailed charging sections using the charging current calculated through the charging current calculation unit (120) and the charging voltage included in the charging information when the charging current is not included in the charging information.

[0151] The above detailed charging section division unit (130) divides the charging section into detailed charging sections using the charging current calculated through the charging current calculation unit (120) when the charging information does not include the charging voltage and charging current.

[0152] The distinction between the above detailed charging sections has been explained with reference to FIGS. 2 to 4, so it will be omitted here.

[0153] The above-mentioned supply charge calculation unit (140) calculates the supply charge amount supplied to the battery for a predetermined period of time during which the SOC of the received charging information changes at a predetermined SOC change rate in a specific detailed charging section according to the battery.

[0154] The above-mentioned supply charge calculation unit (140) can calculate the charge amount by integrating the charging current corresponding to a predetermined time period during which the SOC changes at a pre-set SOC change rate over the above-mentioned time period. Here, the supply charge calculation unit (140) can calculate the supply charge amount using the charging current included in the charging information, or, when the charging current is not included in the charging information, can calculate the supply charge amount using the charging current calculated by the charging current calculation unit (120).

[0155] The above-mentioned reference supply charge estimation unit (150) estimates the reference supply charge supplied to the battery for a predetermined period of time during which the SOC changes at a predetermined SOC change rate in a specific detailed charging section when the battery is new.

[0156] The above-mentioned reference supply charge estimation unit (150) inputs input data including a predetermined SOC change rate, a charging rate among the charging information received for a specific detailed charging section, an external temperature, an internal temperature, or a combination thereof into a DNN model for estimating the reference supply charge, thereby estimating the reference supply charge. At this time, the reference supply charge estimation unit (150) configures input data by arranging the SOC change rate, the charging rate, the external temperature, the internal temperature, or a combination thereof according to the input of the DNN model for estimating the reference supply charge, and inputs the configured input data into the DNN model for estimating the reference supply charge, thereby estimating the reference supply charge according to the output result of the DNN model for estimating the reference supply charge.

[0157] The above SOH estimation unit (160) estimates the SOH of the battery using the calculated supply charge amount and the estimated reference supply charge amount.

[0158] The above SOH estimation unit (160) estimates the SOH by calculating the ratio of the estimated reference supply charge to the calculated supply charge, and provides the estimated SOH to the charging information providing device.

[0159] In order to receive the result of estimating the SOH of the above battery, the user must register in advance the information (manufacturer, nominal capacity, etc.) of the battery installed in his / her electric vehicle in the SOH estimation device (100), and a DNN model for estimating the reference supply charge amount for a specific detailed charging section is provided for each type and manufacturer of the battery.

[0160] FIG. 8 is a flowchart illustrating a procedure for generating a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention.

[0161] As illustrated in FIG. 8, the procedure for generating a DNN model for estimating a reference supply charge amount according to one embodiment of the present invention first performs a charging information collection step in which the DNN model generation device (200) receives charging information when the battery is new (S110).

[0162] Here, charging information can be collected during the initial charge of a new battery for learning purposes, and is collected under various conditions based on the charge rate, internal temperature, or a combination of these. In other words, the charging information collection step involves collecting the battery's charging information during the first charging cycle.

[0163] Next, the DNN model generation device (200) performs a detailed charging section division step of dividing the charging section of the battery into detailed charging sections according to the charging information (S120).

[0164] The above detailed charging section division step divides the charging section into detailed charging sections using the rate of change of charging current, the level of charging current, the rate of change of charging voltage, the level of charging voltage, or a combination thereof according to charging information.

[0165] In the above detailed charging section division step, if the charging current is not included in the charging information collected through step S110, the detailed charging section is divided using the charging current calculated using the charging rate included in the charging information.

[0166] At this time, the DNN model generation device (200) further includes a charging current calculation step for calculating the charging current using the charging rate when the charging information received through step S110 does not include the charging current.

[0167] The division into the above detailed charging sections is explained with reference to FIGS. 2 to 4, so it is omitted here.

[0168] Next, the DNN model generation device (200) performs a learning data generation step of generating learning data by configuring a feature data set including the SOC change rate, the charging rate among the charging information collected for each detailed charging section, the internal temperature of the electric vehicle, the internal temperature, or a combination thereof, and labeling each feature data set with a reference supply charge amount (S130).

[0169] That is, when the battery is new, the DNN model generation device (200) generates learning data for estimating the reference supply charge amount supplied to the battery during the time when the SOC changes according to the SOC change rate in the charging information, such as the charging rate, internal temperature, internal temperature, or a combination thereof, for each detailed charging section.

[0170] Next, the DNN model generation device (200) performs a learning step of inputting the learning data generated through step S130 into the DNN to train the DNN (S140).

[0171] The above learning step performs learning on the DNN using all the generated learning data, and when learning is completed (S150), the DNN becomes a DNN model for estimating the reference supply charge.

[0172] FIG. 9 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to one embodiment of the present invention.

[0173] FIG. 9 illustrates a procedure for estimating SOH when charging information includes charging current and charging voltage. As illustrated in FIG. 9, the SOH estimation device (100) performs a charging information receiving step for receiving charging information when performing charging for a battery mounted on an electric vehicle (S210).

[0174] Here, charging information is received from a charging information providing device when charging an actual electric vehicle battery to estimate SOH.

[0175] Next, the SOH estimation device (100) performs a detailed charging section division step of dividing the charging section according to battery charging into multiple detailed charging sections using the charging current and charging voltage of the charging information (S220).

[0176] The above detailed charging section division step divides the charging section into detailed charging sections according to the rate of change of charging current, level of charging current, rate of change of charging voltage, and level of charging voltage included in the charging information.

[0177] Next, the SOH estimation device (100) performs a supply charge calculation step of calculating the supply charge amount supplied to the battery during the time when the SOC changes at a predetermined SOC change rate in a specific detailed charging section according to the battery (S230).

[0178] The above-mentioned supply charge calculation step calculates the supply charge by integrating the charging current during the time between the time points at which the SOC changes by a predetermined SOC change rate set in advance compared to the SOC at any point in time in the above-mentioned specific detailed charging section, by referring to the SOC of the charging information received for each of the above-mentioned specific detailed charging sections.

[0179] Next, the SOH estimation device (100) uses the SOC change rate and charge information to perform a reference supply charge estimation step of estimating the reference supply charge supplied to the battery during the time when the SOC changes at a predetermined SOC change rate in a specific detailed charge section when the battery is new (S240).

[0180] The above-mentioned reference supply charge estimation step estimates the reference supply charge by inputting input data including a predetermined SOC change rate, a charging rate among the charging information received in the specific detailed charging section, an external temperature, an internal temperature, or a combination thereof into a DNN model for estimating the reference supply charge generated for a specific detailed charging section for the battery in question.

[0181] Next, the SOH estimation device (100) performs an SOH estimation step of estimating the SOH of the corresponding battery by calculating the ratio of the estimated reference supply charge to the calculated supply charge (S250).

[0182] FIG. 10 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to another embodiment of the present invention.

[0183] FIG. 10 illustrates a procedure for estimating SOH when charging information includes charging voltage but does not include charging current. As illustrated in FIG. 10, the SOH estimation device (100) performs a charging information reception step for receiving charging information when performing charging for a battery mounted on an electric vehicle (S310).

[0184] The above charging information receiving step is identical to the charging information receiving step of FIG. 9.

[0185] Next, the SOH estimation device (100) performs a charging current calculation step of calculating the charging current using the charging rate of the charging information (S320).

[0186] Since the above charging rate is charging current / capacity (nominal capacity), the charging current calculation step can calculate the charging current by multiplying the charging rate by the capacity (nominal capacity).

[0187] Next, the SOH estimation device (100) performs a detailed charging section division step (S330) of dividing a charging section into detailed charging sections using the calculated charging current and the charging voltage of the charging information, a supply charge calculation step (S340) of calculating the supply charge amount supplied to the battery during a time during which the SOC changes at a predetermined SOC change rate in a specific detailed charging section, a reference supply charge amount estimation step (S350) of estimating the reference supply charge amount supplied to the battery during a time during which the SOC changes at a predetermined SOC change rate in a specific detailed charging section when the battery is new using the SOC change rate and the charging information, and an SOH estimation step (S360) of estimating the SOH by calculating the ratio of the estimated reference supply charge amount to the calculated supply charge amount.

[0188] The above detailed charging section distinction step, supply charge calculation step, reference supply charge estimation step, and SOH estimation step are performed through the same process as the detailed charging section distinction step, supply charge calculation step, reference supply charge estimation step, and SOH estimation step of FIG. 9, so a detailed description thereof will be omitted.

[0189] FIG. 11 is a flowchart illustrating a procedure for estimating SOH when charging a battery with limited data according to another embodiment of the present invention.

[0190] FIG. 11 illustrates a procedure for estimating SOH when charging information does not include charging voltage and charging current. As illustrated in FIG. 11, the SOH estimation device (100) performs a charging information receiving step for receiving charging information when performing charging for a battery mounted on an electric vehicle (S410).

[0191] The above charging information receiving step is identical to the charging information receiving step of FIG. 9.

[0192] Next, the SOH estimation device (100) performs a charging current calculation step of calculating a charging current using the charging rate of the charging information (S420), and performs a detailed charging section division step of dividing the charging section into detailed charging sections using the calculated charging current (S430). The charging current calculation step is identical to the charging current calculation step of FIG. 10.

[0193] The above detailed charging section division step divides the charging section into multiple detailed charging sections using the calculated rate of change of charging current, the level of charging current, or a combination thereof.

[0194] Next, the SOH estimation device (100) performs a supply charge calculation step (S440) for calculating the supply charge supplied to the battery during a time when the SOC changes at a predetermined SOC change rate in a specific detailed charging section, a reference supply charge estimation step (S450) for estimating the reference supply charge supplied to the battery during a time when the SOC changes at a predetermined SOC change rate in a specific detailed charging section when the battery is new using the SOC change rate and charging information, and an SOH estimation step (S460) for estimating the SOH by calculating the ratio of the estimated reference supply charge to the calculated supply charge.

[0195] The above detailed charging section distinction step, supply charge calculation step, reference supply charge estimation step, and SOH estimation step are performed through the same process as the detailed charging section distinction step, supply charge calculation step, reference supply charge estimation step, and SOH estimation step of FIG. 9, so a detailed description thereof will be omitted.

[0196] A program implementing a method for estimating SOH during battery charging according to one embodiment of the present invention is stored in a memory, and the program stored in the memory is configured to be accessed and executed by a processor. Accordingly, a device for estimating SOH during battery charging according to one embodiment of the present invention is configured to include the memory and a processor.

[0197] As described above, the present invention has the effect of accurately estimating SOH during charging using charging information of an electric vehicle even if direct data for estimating SOH is not provided.

[0198] In addition, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and various modifications can be implemented by a person having ordinary skill in the art to which the invention pertains without departing from the gist of the present invention claimed in the claims, and such modifications should not be understood individually from the technical idea or prospect of the present invention.

[0199] As described above, the present invention has industrial applicability because it can objectively and accurately estimate the SOH of a battery when charging a battery mounted on an electric vehicle by estimating the SOH of the battery through charging information even when direct data for estimating the SOH is not provided.

Claims

1. Charging information receiving step for receiving charging information when charging the battery of an electric vehicle; A detailed charging section division step for dividing the charging section of the battery into multiple detailed charging sections according to the above charging information; A passed charge calculation step for calculating the supplied charge amount supplied to the battery during a predetermined time period during which the state of charge (SOC) changes at a predetermined SOC change rate (delta SOC) according to the received charging information in any one specific detailed charging section among the plurality of detailed charging sections distinguished above; A reference supply charge estimation step for estimating a reference supply charge amount supplied to the battery when the battery is new during a predetermined time during which the SOC changes at a predetermined SOC change rate according to the received charging information in the specific detailed charging section; and Including an SOH estimation step for estimating the SOH of the battery using the calculated supply charge and the estimated reference supply charge; A method for estimating SOH during charging of a battery, characterized by estimating the above SOH.

2. In claim 1, The above charging information is, A method for estimating SOH of a battery during charging, characterized in that it includes SOC, charge rate (c-rate), charge current, charge voltage, internal temperature of the electric vehicle, external temperature, or a combination thereof.

3. In claim 1, The above specific detailed charging section is, A method for estimating SOH during charging of a battery, characterized in that it includes any one of a preliminary charging section which is an initial charging section of the battery, a constant current charging section which charges the battery with a constant current, a constant voltage charging section which charges the battery with a constant voltage, or a charging completion section which completes charging of the battery.

4. In claim 1, The method for estimating the above SOH is as follows: A method for estimating SOH during charging of a battery, characterized in that it further includes a charging current calculation step of calculating the charging current using a charging rate (c-rate) included in the charging information when the charging current is not included in the received charging information.

5. In claim 4, The above detailed charging section division steps are: When the charging information includes charging current and charging voltage, the charging section of the battery is divided into the plurality of detailed charging sections using the rate of change of the charging current, the level of the charging current, the rate of change of the charging voltage, the level of the charging voltage, or a combination thereof. If the charging information includes the charging voltage but does not include the charging current, the charging section of the battery is divided into the plurality of detailed charging sections using the rate of change of the calculated charging current, the level of the calculated charging current, the rate of change of the charging voltage, the level of the charging voltage, or a combination thereof. A method for estimating SOH during charging of a battery, characterized in that, when the charging information does not include charging current and charging voltage, the charging section of the battery is divided into the plurality of detailed charging sections using the rate of change of the calculated charging current, the level of the calculated charging current, or a combination thereof.

6. In claim 4, The above supply charge calculation step is: When the charging information includes a charging current, the supply charge amount is calculated using the charging current for a predetermined time during which the SOC changes at a predetermined SOC change rate in the specific detailed charging section. A method for estimating SOH during charging of a battery, characterized in that when the charging information does not include a charging current, the supplied charge amount is calculated using the calculated charging current for a predetermined time during which the SOC changes at a predetermined SOC change rate in the specific detailed charging section.

7. In claim 1, The above reference supply charge estimation step is, A method for estimating SOH during charging of a battery, characterized in that the DNN model for estimating the reference supply charge inputs the charging rate, the internal temperature of the electric vehicle, the external temperature, the SOC change rate, or a combination thereof among the received charging information for the specific detailed charging section as input data to estimate the reference supply charge.

8. In claim 7, The above DNN model for estimating the reference supply charge is A method for estimating the SOH of a battery when charging, characterized in that when a plurality of batteries are new, learning data labeled with a reference supply charge amount is generated by learning a feature data set including a charging rate, an internal temperature of an electric vehicle, an external temperature, an SOC change rate, or a combination thereof among charging information collected for each of the plurality of detailed charging sections.

9. A memory storing a program implementing a method for estimating SOH during charging of the battery according to any one of claims 1 to 8; and A device for estimating SOH during charging of a battery, characterized in that it comprises a processor configured to execute a program stored in the above memory.

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