Method for providing electric vehicle battery safety information

Abstract

Disclosed is a method for providing electric vehicle battery safety information according to some embodiments disclosed herein, the method being performed by a computing device including at least one processor. The method for providing safety information may comprise the steps of: receiving vehicle state information related to a battery pack of a vehicle; determining safety state information related to the safety of the battery pack on the basis of the vehicle state information; transmitting a safety message to the vehicle when it is determined, on the basis of the safety state information, that at least one item among a plurality of items related to safety has exceeded a preset threshold; determining a safety index related to the battery pack on the basis of the vehicle state information; and transmitting the determined safety index to the vehicle.

Description

Methods for providing electric vehicle battery safety information

[0001] The present disclosure relates to a method for providing safety information on an electric vehicle battery, and more particularly, to a method for providing safety information related to a battery of a vehicle.

[0002] Typically, batteries (e.g., secondary batteries) convert chemical energy and electrical energy through electrochemical reactions in which internal active materials are oxidized and reduced during charging and discharging.

[0003] The performance of these secondary batteries is affected by factors such as charging method, depth of discharge, operating temperature, external load level, and charge / discharge cycles. Recent battery development has primarily focused on lithium-ion batteries, lithium polymer batteries, or fuel cells, which possess high energy density and light weight. These batteries are widely used in industrial, automotive, portable, and mobile power supplies.

[0004] In particular, electric vehicles powered by these batteries offer numerous advantages over conventional internal combustion engine vehicles. For example, electric vehicles can offer superior quietness, driving performance, acceleration, and interior space compared to internal combustion engine vehicles. Furthermore, they contribute to reducing air pollution by eliminating exhaust fumes.

[0005] However, as we have seen in several articles, electric vehicles have a major drawback: the batteries can catch fire due to external impact or overheating.

[0006] The present disclosure is conceived in response to the aforementioned background technology and aims to provide a method for providing safety information related to a vehicle.

[0007] The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] According to one embodiment of the present disclosure for solving the above-described problem, a method for providing electric vehicle battery safety information, which is performed by a computing device including at least one processor, is disclosed. The method for providing the safety information may include: receiving vehicle status information related to a battery pack of a vehicle; determining safety status information related to the safety of the battery pack based on the vehicle status information; transmitting a safety message to the vehicle when it is determined that at least one of a plurality of safety-related items exceeds a preset threshold based on the safety status information; determining a safety index related to the battery pack based on the vehicle status information; and transmitting the determined safety index to the vehicle.

[0009] Additionally, the safety status information may include at least one of a voltage during charging of the battery pack, a charge amount of the battery pack, a change in the SOC (State Of Charge) of the battery pack, a driving distance of the vehicle, a cumulative discharge amount of the battery pack, and an SOH of the battery pack.

[0010] In addition, the step of determining a safety index related to the battery pack based on the vehicle status information may include: defining a plurality of first evaluation items related to real-time status changes of the battery pack; defining a plurality of second evaluation items related to cumulative status changes for the history of the battery pack; and determining the safety index for each of the plurality of first evaluation items and the plurality of second evaluation items based on the vehicle status information.

[0011] In addition, the plurality of first evaluation items may include at least one evaluation item among a voltage deviation between a plurality of cells constituting the battery pack, a current value of the battery pack, a temperature deviation between a plurality of modules constituting the battery pack, a differential voltage (dv) for a differential potential (dq) of the battery, and a charge / discharge efficiency.

[0012] Additionally, the second evaluation item may include at least one evaluation item among the highest temperature of the battery pack in each of the plurality of predetermined periods, the average temperature of the battery pack in each of the plurality of predetermined periods, and the charging efficiency of the battery pack in each of the plurality of predetermined periods.

[0013] In addition, the step of determining the safety index for each of the plurality of first evaluation items and the plurality of second evaluation items based on the vehicle condition information may include the step of assigning a weight to each of the plurality of first evaluation items and the plurality of second evaluation items by performing an analysis on each of the plurality of first evaluation items and the plurality of second evaluation items according to a preset analysis technique; the step of defining a section and a score for each section related to a measurement value for each of the plurality of first evaluation items and the plurality of second evaluation items; the step of determining an evaluation table including the weight and the score for each section; and the step of determining the safety index based on the determined evaluation table and the vehicle condition information.

[0014] Additionally, the preset analysis technique may include at least one of a principal component analysis (PCA) or a random forest analysis technique.

[0015] In addition, based on the determined evaluation table, the step of determining the safety index may include: a step of determining a plurality of first scores based on a plurality of first measurement values ​​related to each of the plurality of first evaluation items; a step of determining a plurality of second scores based on a plurality of second measurement values ​​related to each of the plurality of second evaluation items; and a step of determining the safety index based on the weights, the plurality of first scores, and the plurality of second scores.

[0016] The technical solutions obtainable in the present disclosure are not limited to the solutions mentioned above, and other solutions not mentioned will be clearly understood by a person having ordinary skill in the art to which the present disclosure pertains from the description below.

[0017] According to some embodiments of the present disclosure, safety information related to a battery can be provided so that a user can safely use a vehicle.

[0018] The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects that are not mentioned will be clearly understood by a person having ordinary skill in the art to which the present disclosure pertains from the description below.

[0019] Various aspects are now described with reference to the drawings, wherein like reference numerals are used to refer to similar elements generally. In the following examples, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will be apparent that such aspects may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form to facilitate the description of one or more aspects.

[0020] FIG. 1 illustrates an exemplary system for performing a method for providing safety information according to some embodiments of the present disclosure.

[0021] FIG. 2 is a flowchart illustrating an example of a method for a computing device to provide safety information according to some embodiments of the present disclosure.

[0022] FIG. 3 is a flowchart illustrating an example of a method for a computing device to determine a safety index according to some embodiments of the present disclosure.

[0023] FIG. 4 is a flowchart illustrating an example of a method for a computing device to determine a safety index based on an evaluation table according to some embodiments of the present disclosure.

[0024] FIG. 5 is a conceptual diagram illustrating an example of a method for transmitting a safety message and a safety index according to some embodiments of the present disclosure.

[0025] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention. Throughout the description of each drawing, similar reference numerals have been used to designate similar components.

[0026] Terms such as "first," "second," "A," and "B" may be used to describe various components, but the components should not be limited by these terms. These terms are used solely to distinguish one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the "second component," and similarly, the second component may also be referred to as the "first component." The term "and / or" includes a combination of a plurality of related items described herein or any of a plurality of related items described herein.

[0027] When a component is referred to as being "connected" or "connected" to another component, it should be understood that it may be directly connected or connected to that other component, but that there may be other components intervening. Conversely, when a component is referred to as being "directly connected" or "connected" to another component, it should be understood that there are no other components intervening.

[0028] The terminology used in this application is only used to describe specific embodiments and is not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, it should be understood that the terms "comprise" or "have" indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not exclude in advance the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0029] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined herein.

[0030] In the present disclosure, a computing device can receive battery status information from a vehicle control unit (VCU) of a vehicle. The VCU is the vehicle's top-level controller and communicates with controllers such as the CLU, BMS, and MCU, and transmits major vehicle commands, such as vehicle control, driving status determination, and torque control. The VCU can transmit vehicle status information related to the vehicle's battery pack to the computing device via a communication module. The computing device can determine safety status information related to the battery pack's safety based on the received vehicle status information. Furthermore, if the computing device determines that a safety-related risk exists, the computing device can transmit a safety message to the vehicle. If the computing device determines that no safety-related risk exists, the computing device may not transmit a safety message to the vehicle. Additionally, the computing device can determine a safety index related to the battery pack based on the received vehicle status information. By transmitting the determined safety index to the vehicle, the computing device can enable the vehicle user to check the safety index related to the vehicle. Hereinafter, a method for transmitting a safety message and a safety index to a vehicle by a computing device according to the present disclosure will be described with reference to FIGS. 1 to 5 .

[0031] FIG. 1 illustrates an exemplary system for performing a method for providing safety information according to some embodiments of the present disclosure.

[0032] Referring to FIG. 1, a computing device (100) may include a control unit (110) and a communication unit (12+0). However, the above-described components are not essential for implementing the computing device (100), and thus the computing device (100) may have more or fewer components than the components listed above.

[0033] The computing device (100) may include any type of computer system or computer device, such as, for example, a microprocessor, a mainframe computer, a digital processor, a portable device, or a device controller.

[0034] A computing device (100) may achieve desired system performance by utilizing a combination of typical computer hardware (e.g., devices that may include a computer processor, memory, storage, input devices and output devices, and other components of conventional computing devices; electronic communication devices such as routers, switches, etc.; electronic information storage systems such as network-attached storage (NAS) and storage area networks (SAN)) and computer software (i.e., instructions that cause the computing device to function in a particular manner).

[0035] In the present disclosure, a computing device (100) can receive battery status information from a vehicle control unit (VCU) of a vehicle (200). The VCU is a top-level controller of the vehicle that communicates with controllers such as a CLU, BMS, and MCU and transmits major vehicle commands such as vehicle control, driving status determination, and torque control. The VCU can transmit vehicle status information related to the vehicle's battery pack to the computing device via a communication module.

[0036] Vehicle status information may include information related to the vehicle's battery pack, driving information, and charging information. For example, vehicle status information may include information on voltage, current, temperature, charge amount, discharge amount, cumulative charge amount, cumulative discharge amount, SOC (State of Charge), SOB (State of Balance), and SOP (State of Power) for each cell constituting the battery pack. Vehicle status information may also include information on the vehicle's driving distance, driving time, cumulative driving distance, external temperature, external humidity, and driving location.

[0037] The control unit (110) can typically process the overall operation of the computing device (100). The control unit (110) can process signals, data, information, etc. input or output through components of the computing device (100) or run application programs stored in the storage unit, thereby providing or processing appropriate information or functions to the user.

[0038] The control unit (110) may be composed of one or more cores and may include a processor for data analysis, such as a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU).

[0039] In the present disclosure, the control unit (110) may determine safety status information related to the safety of the battery pack based on vehicle status information received from the vehicle (200). The safety status information may be information indicating the safety-related status of the battery. For example, the safety status information may include at least one of the voltage of the battery pack when charging, the charge amount of the battery pack, the change in the State of Charge (SOC) of the battery pack, the driving distance of the vehicle, the accumulated discharge amount of the battery pack, and the SOH of the battery pack. The control unit (110) may generate a safety message when it is determined that at least one of the plurality of items exceeds a preset threshold. For example, the control unit (110) may generate a safety message when it is determined that the voltage of the battery pack when charging exceeds a preset threshold. In addition, the control unit (110) may transmit the generated safety message to the vehicle (200) via the communication unit (120). Alternatively, the control unit (110) may transmit the generated safety message to a user terminal of a user related to the vehicle (200) via the communication unit (120). Accordingly, the user can immediately check if a safety-related problem occurs in the vehicle (200).

[0040] The communication unit (120) may include one or more modules that enable communication between the computing device (100) and the communication system, between the computing device (100) and the vehicle (200), or between the computing device (100) and the network.

[0041] The communication unit (120) can communicate with the vehicle (200) using the MQTT protocol in a message queue format. The communication unit (120) can receive vehicle status information related to the battery pack from the vehicle (200).

[0042] The vehicle (200) can sense vehicle status information related to the vehicle using a data collection sensor, etc. The vehicle (200) can transmit the sensed vehicle status information to a computing device (100) using an LTE communication modem.

[0043] Below, a specific example of a computing device (100) providing safety information is described.

[0044] FIG. 2 is a flowchart illustrating an example of a method for a computing device to provide safety information according to some embodiments of the present disclosure.

[0045] Referring to FIG. 2, the communication unit (120) of the computing device (100) can receive vehicle status information related to the vehicle's battery pack (S110).

[0046] Vehicle status information may include information related to the vehicle's battery pack, driving information, and charging information. For example, vehicle status information may include information on voltage, current, temperature, charge amount, discharge amount, cumulative charge amount, cumulative discharge amount, SOC (State of Charge), SOB (State of Balance), and SOP (State of Power) for each cell constituting the battery pack. Vehicle status information may also include information on the vehicle's driving distance, driving time, cumulative driving distance, external temperature, external humidity, and driving location.

[0047] The control unit (110) can determine safety status information related to the safety of the battery pack based on vehicle status information (S120).

[0048] Specifically, the control unit (110) can analyze charging data based on vehicle status information. Analyzing the charging data can also be understood as determining data related to the charging of the battery pack from the vehicle status information. The control unit (110) can analyze driving data based on the vehicle status information. Analyzing the driving data can also be understood as determining data related to driving from the vehicle status information. The control unit (110) can determine the SOH (State Of Health) of the battery pack based on the vehicle status information. The SOH can be understood as an indicator that can indicate the current performance status of the battery. The control unit (110) can determine the SOH of the battery pack based on the differential voltage (dv), voltage, current, temperature, etc. for the differential potential (dq). The control unit (110) can determine safety status information based on the analyzed charging data, driving data, and SOH.

[0049] For example, the control unit (110) can determine safety status information including at least one of the voltage when charging the battery pack, the charge amount of the battery pack, the change in the SOC (State Of Charge) of the battery pack, the driving distance of the vehicle, the accumulated discharge amount of the battery pack, and the SOH of the battery pack.

[0050] The control unit (110) can transmit a safety message to the vehicle (200) when it is determined that at least one of a plurality of safety-related items has exceeded a preset threshold based on safety status information (S130).

[0051] For example, if the control unit (110) determines that the voltage of the battery pack has exceeded a preset threshold during charging, the control unit (110) may generate a safety message to indicate a danger to the user. The control unit (110) may transmit the generated safety message to the vehicle (200) via the communication unit (120). If the control unit (110) determines that the voltage of the battery pack has not exceeded the preset threshold during charging, the control unit (110) may not generate the safety message.

[0052] For another example, if the control unit (110) determines that the SOC change amount of the battery pack has exceeded a preset threshold, the control unit (110) may generate a safety message to indicate a danger to the user. The control unit (110) may transmit the generated safety message to the vehicle (200) via the communication unit (120). If the control unit (110) determines that the SOC change amount of the battery pack has not exceeded the preset threshold, the control unit (110) may not generate the safety message.

[0053] The control unit (110) can determine a safety index related to the battery pack based on vehicle status information (S140). Regardless of whether a safety message is generated, the control unit (110) can determine a safety index related to the battery pack based on the vehicle status information. The safety index can be understood as an index indicating the safety-related performance of the battery pack.

[0054] Specifically, the control unit (110) may define a plurality of first evaluation items and a plurality of second evaluation items. The plurality of first evaluation items may be items related to real-time status changes of the battery pack according to the driving of the vehicle (200). The plurality of second evaluation items may be items related to cumulative status changes of the battery pack's history.

[0055] For example, the control unit (110) may define a plurality of first evaluation items including at least one evaluation item among a voltage deviation between a plurality of cells constituting a battery pack, a current value of the battery pack, a temperature deviation between a plurality of modules constituting the battery pack, a differential voltage (dv) for a differential potential (dq) of the battery, and a charge / discharge efficiency. The control unit (110) may define a plurality of second evaluation items including at least one evaluation item among a maximum temperature of the battery pack in each of a plurality of predetermined periods, an average temperature of the battery pack in each of a plurality of predetermined periods, and a charging efficiency of the battery pack in each of a plurality of predetermined periods. The control unit (110) may determine a safety index based on the defined plurality of first evaluation items, the plurality of second evaluation items, and vehicle status information. The control unit (110) may determine a safety index related to the vehicle (200) by determining a score for each of the plurality of first evaluation items and the plurality of second evaluation items. Below, an example of a method by which the control unit (110) determines a safety index is described through FIGS. 3 and 4.

[0056] The control unit (110) can transmit the determined safety index to the vehicle (200) via the communication unit (120) (S150). Accordingly, the user can check the safety score related to his / her vehicle (200).

[0057] According to the above-described configuration, the computing device (100) can determine real-time safety-related safety status information of the battery pack based on vehicle status information. Accordingly, the computing device (100) can promptly notify the user when a safety-related issue occurs in the vehicle. Furthermore, the computing device (100) can determine the safety index of the vehicle (200) based on the vehicle status information. By providing the safety index to the user, the computing device (100) can encourage the user to pay attention to the safety of the vehicle (200).

[0058] Below, we describe a specific example of how a computing device determines a safety index.

[0059] FIG. 3 is a flowchart illustrating an example of a method for a computing device to determine a safety index according to some embodiments of the present disclosure.

[0060] Referring to FIG. 3, the control unit (110) of the computing device (100) may define a plurality of first evaluation items related to real-time state changes of the battery pack (S141). The plurality of first evaluation items may be items related to real-time state changes of the battery pack according to the driving of the vehicle (200). Defining a plurality of first evaluation items may also be understood to mean determining items for determining scores related to real-time state changes.

[0061] The plurality of first evaluation items may include at least one evaluation item from among a voltage deviation between a plurality of cells constituting a battery pack, a voltage deviation between a plurality of modules, a current value of each of the plurality of cells, a current value of each of the plurality of modules, a temperature deviation between a plurality of modules constituting the battery pack, a temperature deviation between a plurality of cells, a differential voltage (dv) with respect to a differential potential (dq) of the battery, and a charge / discharge efficiency. The differential potential may be understood as a change in potential at each predetermined time. The differential voltage may be understood as a change in voltage at each predetermined time.

[0062] The control unit (110) can define a plurality of second evaluation items related to the cumulative status change of the battery pack history (S142). The plurality of second evaluation items may be items related to the cumulative status change of the battery pack history. Defining a plurality of second evaluation items can also be understood as determining the items that will determine the score related to the cumulative status change.

[0063] The plurality of second evaluation items may include at least one evaluation item among the maximum temperature of the battery pack in each of the plurality of predetermined periods, the average temperature of the battery pack in each of the plurality of predetermined periods, and the charging efficiency of the battery pack in each of the plurality of predetermined periods. For example, the plurality of second evaluation items may include at least one evaluation item among the maximum temperature of the battery pack for 3 months, the average temperature of the battery pack for 3 months, the maximum temperature of the battery pack for 6 months, the average temperature of the battery pack for 6 months, and the charging efficiency of the battery pack for 3 months and 6 months.

[0064] The control unit (110) can determine a safety index for each of a plurality of first evaluation items and a plurality of second evaluation items based on vehicle status information (S143).

[0065] Specifically, the control unit (110) may determine a first score for each of a plurality of first evaluation items based on the vehicle status information. The control unit (110) may determine data related to each of the plurality of first evaluation items based on the vehicle status information. The control unit (110) may determine a first score for each of the plurality of first evaluation items based on the determined data. The control unit (110) may determine a second score for each of the plurality of second evaluation items based on the vehicle status information. The control unit (110) may determine data related to each of the plurality of second evaluation items based on the vehicle status information. The control unit (110) may determine a second score for each of the plurality of second evaluation items based on the determined data. The control unit (110) may determine a safety index based on the determined first scores and second scores.

[0066] For example, the control unit (110) may determine a first score for an evaluation item related to a voltage deviation between a plurality of cells constituting a battery pack among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to a voltage deviation between a plurality of modules among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to a current value of each of a plurality of cells among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to a current value of each of a plurality of modules among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to a current value of a battery pack among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to a temperature deviation between a plurality of modules constituting a battery pack among the plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to temperature deviation between a plurality of cells among a plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to differential voltage (dv) with respect to differential potential (dq) of the battery among a plurality of first evaluation items. The control unit (110) may determine a first score for an evaluation item related to charge / discharge efficiency among a plurality of first evaluation items.

[0067] For another example, the control unit (110) may determine a second score for an evaluation item related to the maximum temperature of the battery pack in each of the plurality of predetermined periods among the plurality of second evaluation items. The control unit (110) may determine a second score for an evaluation item related to the average temperature of the battery pack in each of the plurality of predetermined periods among the plurality of second evaluation items. The control unit (110) may determine a second score for an evaluation item related to the charging efficiency of the battery pack in each of the plurality of predetermined periods among the plurality of second evaluation items.

[0068] The control unit (110) can determine a safety index based on a plurality of determined first scores and a plurality of determined second scores.

[0069] For example, the control unit (110) may provide the user with each of the determined plurality of first scores and the plurality of second scores as a safety index. As another example, the control unit (110) may provide the user with the sum of the determined plurality of first scores and the plurality of second scores as a safety index. As yet another example, the control unit (110) may provide the user with the average of the determined plurality of first scores and the plurality of second scores as a safety index.

[0070] According to the above-described configuration, the computing device (100) can define multiple evaluation items for determining a safety index. Furthermore, the computing device (100) can determine scores for the defined multiple evaluation items using vehicle status information. Furthermore, the computing device (100) can determine a safety index using the determined scores. Therefore, the computing device (100) can comprehensively utilize all data related to vehicle safety to determine a safety index.

[0071] Meanwhile, the plurality of first evaluation items and the plurality of second evaluation items may have different safety-related importance levels. The computing device (100) can determine weights for the plurality of first evaluation items and the plurality of second evaluation items. The computing device (100) can determine an evaluation table including weights for the plurality of first evaluation items and the plurality of second evaluation items. The computing device can use the determined evaluation table to determine a safety index. Hereinafter, an example of a method for a computing device according to the present disclosure to determine a safety index based on an evaluation table will be described with reference to FIG. 4.

[0072] FIG. 4 is a flowchart illustrating an example of a method for a computing device to determine a safety index based on an evaluation table according to some embodiments of the present disclosure.

[0073] Referring to FIG. 4, the control unit (110) of the computing device (100) can assign weights to each of the plurality of first evaluation items and each of the plurality of second evaluation items by performing an analysis on each of the plurality of first evaluation items and each of the plurality of second evaluation items according to a preset analysis technique (S1431).

[0074] Here, the preset analysis technique may include regression analysis, principal component analysis (PCA), or random forest analysis techniques.

[0075] Regression analysis may be an analysis technique that establishes a model between two variables for observed continuous variables and then measures the goodness-of-fit. The control unit (110) may determine continuous variables from data related to each of a plurality of first evaluation items and a plurality of second evaluation items. The control unit (110) may determine the size of a weight by measuring the goodness-of-fit for the determined variables. The control unit (110) may assign a weight to each of the plurality of first evaluation items and the plurality of second evaluation items according to the size of the determined weight.

[0076] The principal component analysis technique may be a technique for determining the size of weights by declaring representative data through a data processing process that reduces the dimensionality of data. The control unit (110) may standardize data related to each of a plurality of first evaluation items and a plurality of second evaluation items. The control unit (110) may generate a covariance matrix representing a linear relationship between the standardized data. The control unit (110) may determine the eigenvalues ​​and eigenvectors of each data through the covariance matrix. The control unit (110) may assign weights to each of the plurality of first evaluation items and the plurality of second evaluation items using the eigenvalues ​​and eigenvectors of each data determined in relation to each of the plurality of first evaluation items and the plurality of second evaluation items.

[0077] The random forest technique may be a technique for determining the size of weights by generating decision trees. The control unit (110) may extract at least one piece of data from among a plurality of pieces of data related to each of a plurality of first evaluation items and a plurality of second evaluation items. The control unit (110) may generate a data set through booststrapping on the at least one piece of data. The control unit (110) may generate a plurality of decision trees using the generated data set. The control unit (110) may assign weights to each of the plurality of first evaluation items and the plurality of second evaluation items by performing model evaluation on the plurality of generated decision trees.

[0078] The control unit (110) can define intervals and interval-specific scores related to measurement values ​​for each of the plurality of first evaluation items and the plurality of second evaluation items (S1432). For convenience of explanation, Table 1 below may be referenced.

[0079] Evaluation Items Weight Range Value from to Cell Voltage MAX 110 270 2.12 7990 2.84 2100 4.214 390 4.314 470 >4.4160 100 Cell Voltage Deviation 704 100 202 595 263 090 313 585 364 080 414 575 465 070 519 99 962 Battery Pack Voltage 111 10100 112 095 213 090 314 085 415 080 516 075 617 070

[0080] Referring to Table 1, the control unit (110) can define sections related to measurement values ​​of a plurality of first evaluation items. The control unit (110) can define sections related to measurement values ​​of a plurality of second evaluation items. For example, the control unit (110) can define sections related to measurement values ​​for an evaluation item related to voltage deviations between a plurality of cells constituting a battery pack among the plurality of first evaluation items. The measurement values ​​can be understood as values ​​related to the vehicle (200) obtained through vehicle status information. The control unit (110) can define scores for each section related to measurement values ​​of a plurality of first evaluation items. The control unit (110) can define scores for each section related to measurement values ​​of a plurality of second evaluation items.

[0081] According to one embodiment, the control unit (110) may define a score for each section related to the measurement values ​​of each of the plurality of first evaluation items and the plurality of second evaluation items based on the mathematical equation below.

[0082]

[0083] Here, can be a variable. may be a value associated with a measurement value for each of a plurality of first evaluation items or a plurality of second evaluation items determined based on vehicle status information. is the minimum value defined for each interval, may be a maximum value defined for each interval.

[0084] The control unit (110) can determine an evaluation table including weights and scores for each section (S1433).

[0085] For example, the control unit (110) can determine an evaluation table such as Table 1 described above.

[0086] The control unit (110) can determine a safety index based on the determined evaluation table and vehicle status information (S1434).

[0087] Specifically, the control unit (110) can determine a plurality of first measurement values ​​related to each of a plurality of first evaluation items based on vehicle status information. The control unit (110) can determine a plurality of first scores by mapping the plurality of first measurement values ​​to an evaluation table. The control unit (110) can determine a plurality of second measurement values ​​related to each of a plurality of second evaluation items based on vehicle status information. The control unit (110) can determine a plurality of second scores by mapping the plurality of second measurement values ​​to an evaluation table. The control unit (110) can determine a safety index based on the weights, the first scores, and the second scores.

[0088] For example, the control unit (110) may calculate weights associated with each of the plurality of first scores for each of the plurality of first scores. The control unit (110) may calculate weights associated with each of the plurality of second scores for each of the plurality of second scores. The control unit (110) may determine the plurality of first scores and the plurality of second scores for which the weights are calculated as safety indices. In addition, the control unit (110) may transmit the plurality of first scores and the plurality of second scores for which the weights are calculated as safety indices to the vehicle (200). In this case, the user may pay attention to safety by checking all safety-related items of the vehicle (200) in detail.

[0089] As another example, the control unit (110) may calculate a weight associated with each of the plurality of first scores for each of the plurality of first scores. The control unit (110) may calculate a weight associated with each of the plurality of second scores for each of the plurality of second scores. The control unit (110) may determine a final safety index based on the plurality of first scores and the plurality of second scores for which the weights are calculated. For example, the control unit (110) may determine a value obtained by adding the plurality of first scores for which the weights are calculated and the plurality of second scores for which the weights are calculated as the final safety index. Then, the control unit (110) may transmit the final safety index to the vehicle (200). In this case, the user can simply and clearly understand the safety and status of the vehicle (200).

[0090] According to the above-described configuration, the computing device (100) can assign weights to each of the plurality of first evaluation items and each of the plurality of second evaluation items by performing an analysis on each of the plurality of first evaluation items and each of the plurality of second evaluation items according to a preset analysis technique. All items related to data included in the vehicle status information may be related to safety. However, not all data may be equally important. Therefore, the computing device (100) can assign weights to each of the plurality of first evaluation items and each of the plurality of second evaluation items using a preset analysis technique. In addition, the computing device (100) can determine an evaluation table in which sections and scores for each section are defined for each of the plurality of first evaluation items and each of the plurality of second evaluation items. The computing device (100) can quickly diagnose the safety of the vehicle (200) by determining a safety index using the determined evaluation table.

[0091] FIG. 5 is a conceptual diagram illustrating an example of a method for transmitting a safety message and a safety index according to some embodiments of the present disclosure.

[0092] Referring to FIG. 5, the vehicle (200) can transmit vehicle status information to the computing device (100) (S210).

[0093] The safety notification module (130) of the computing device (100) can generate a safety message based on vehicle status information. The safety notification module (130) of the computing device (100) can transmit the generated safety message to the vehicle (200) (S220).

[0094] The safety index module (140) of the computing device (100) can determine a safety index based on vehicle status information. The safety index module (140) of the computing device (100) can transmit the determined safety index to the vehicle (200) (S230).

[0095] The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the embodiments disclosed herein, but is to be construed in the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for providing electric vehicle battery safety information performed by a computing device including at least one processor, A step of receiving vehicle status information related to a battery pack of a vehicle; A step of determining safety status information related to the safety of the battery pack based on the vehicle status information; A step of transmitting a safety message to the vehicle when it is determined that at least one of a plurality of safety-related items has exceeded a preset threshold based on the safety status information; A step of determining a safety index related to the battery pack based on the vehicle status information; and A step of transmitting the determined safety index to the vehicle; including, method.

2. In paragraph 1, The above safety status information is: Including at least one of the voltage during charging of the battery pack, the charge amount of the battery pack, the SOC (State Of Charge) change amount of the battery pack, the driving distance of the vehicle, the accumulated discharge amount of the battery pack, and the SOH of the battery pack. method.

3. In paragraph 1, Based on the above vehicle status information, the step of determining a safety index related to the battery pack is: A step of defining a plurality of first evaluation items related to changes in the state of a real-time battery pack; A step of defining a plurality of second evaluation items related to the cumulative state change of the history of the battery pack; and A step of determining the safety index for each of the plurality of first evaluation items and the plurality of second evaluation items based on the vehicle status information; including, method.

4. In paragraph 3, The above multiple first evaluation items are: Including at least one evaluation item among the voltage deviation between the plurality of cells constituting the battery pack, the current value of the battery pack, the temperature deviation between the plurality of modules constituting the battery pack, the differential voltage (dv) for the differential potential (dq) of the battery, and the charge / discharge efficiency. method.

5. In paragraph 4, The second evaluation item above is, Including at least one evaluation item among the highest temperature of the battery pack in each of the plurality of predetermined periods, the average temperature of the battery pack in each of the plurality of predetermined periods, and the charging efficiency of the battery pack in each of the plurality of predetermined periods. method.

6. In paragraph 5, The step of determining the safety index for each of the plurality of first evaluation items and the plurality of second evaluation items based on the vehicle status information is: A step of assigning weights to each of the plurality of first evaluation items and each of the plurality of second evaluation items by performing an analysis on each of the plurality of first evaluation items and each of the plurality of second evaluation items according to a preset analysis technique; A step of defining intervals and interval-specific scores related to measurement values ​​for each of the plurality of first evaluation items and the plurality of second evaluation items; A step of determining an evaluation table including the above weights and the scores for each section; and A step of determining the safety index based on the determined evaluation table and the vehicle status information; including, method.

7. In paragraph 6, The above preset analysis technique is, Including at least one of the principal component analysis (PCA) or random forest analysis techniques, method.

8. In paragraph 6, Based on the above-determined evaluation table, the step of determining the safety index is: A step of determining a plurality of first scores based on a plurality of first measurement values ​​associated with each of the plurality of first evaluation items; A step of determining a plurality of second scores based on a plurality of second measurement values ​​associated with each of the plurality of second evaluation items; and A step of determining the safety index based on the weights, the plurality of first scores, and the plurality of second scores; including, method.

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