KR102555776B1 - Operation method of diagnostic algorithm for battery performance diagnosis and battery performance diagnosis system - Google Patents

Abstract

The present invention relates to a technology related to battery performance diagnosis for an electric vehicle, and a method for operating a diagnosis algorithm for battery performance diagnosis according to an embodiment records standard performance diagnosis data for each battery level in which performance diagnosis data is recorded for each battery level. and maintaining, receiving the performance diagnosis data measured by the simple diagnostic device for battery performance diagnosis, comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level to calculate an error, and calculating the error The method may include updating standard performance diagnosis data for each battery level recorded through a result value verification process when the error is greater than or equal to a reference value.

Description

Operation method of diagnostic algorithm for battery performance diagnosis and battery performance diagnosis system}

The present invention relates to a technology related to battery performance diagnosis for an electric vehicle, and relates to a technical idea providing the same criterion for battery performance diagnosis.

A high-voltage battery is mounted in an electric vehicle (EV) or a plug-in hybrid electric vehicle (PHEV) to store electric energy to be provided as a driving force of the vehicle. Depending on the capacity or condition of the high-voltage battery, the effect on the mileage of the vehicle is absolute.

However, due to the nature of the battery, it is a reality that the phenomenon of deterioration, which is a decrease in capacity, is unavoidable when continuously used. phenomena such as deterioration.

Therefore, in the prior art, the battery of the electric vehicle is charged to 90% or more, and the battery deterioration is detected using the voltage characteristics at that time. However, this prior art uses the characteristic that the amount of charge within a certain voltage decreases linearly as deterioration progresses, but as the slow charging infrastructure diversifies, the charging current diversifies and does not reflect the “battery” charging efficiency according to the charging current, so “battery” is used. As the degree of deterioration increases by , an error in calculation of the degree of degradation occurs.

There is no measurement, judgment, and inspection environment for diagnosing the performance of electric vehicle batteries currently owned/operated. In particular, there is no item for battery performance diagnosis during the sale of used electric vehicles or regular performance checks of used electric vehicles.

Accordingly, there is a need for a battery performance diagnosis system for electric vehicles, which consists of a simple diagnosis device and performance diagnosis platform for performance diagnosis of electric vehicles and batteries, and provision of performance diagnosis results.

Korean Patent Registration No. 10-0256732 "Method for diagnosing battery of electric vehicle" Korean Patent Publication No. 10-2020-0107813 "Battery Performance Diagnosis System and 　Battery Performance Diagnosis System 　 Diagnosis 　 Method"

An object of the present invention is to provide the same criterion for diagnosing battery performance.

An object of the present invention is to derive an error rate through diagnosis result verification analysis and to improve standard performance diagnosis data.

An object of the present invention is to simply and accurately perform battery performance diagnosis regardless of place and time.

A method of operating a diagnostic algorithm for diagnosing battery performance according to an embodiment includes recording and maintaining standard performance diagnostic data for each battery level in which performance diagnostic data for each battery level is recorded, and performance diagnostic data measured in a simple diagnostic device for battery performance diagnostics. Comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level to calculate an error, and if the calculated error is greater than or equal to a standard, the battery recorded through a result value verification process Updating standard performance diagnosis data for each level may be included.

According to an embodiment, a method of operating a diagnostic algorithm for diagnosing battery performance further includes generating standard performance diagnostic data for each battery level, and the generating of the standard performance diagnostic data for each battery level includes: The method may include collecting battery charge/discharge performance data for the battery up to % and calculating a state of cell (SOC) for each remaining life of the battery.

The simple diagnostic device for diagnosing battery performance according to an embodiment controls the battery for an electric vehicle to be charged and discharged at least once, and the voltage (V), current (I), and time ( T), transmits the collected voltage, current, and time to the battery performance diagnosis system to request performance diagnosis analysis, and receives a performance diagnosis report for the battery for the electric vehicle in response to the analysis request. can

The simple diagnostic device for diagnosing battery performance according to an embodiment performs charging and discharging of the battery for an electric vehicle at least once, and after 360 seconds of charging, 120 seconds to 180 seconds of rest, and 360 seconds of discharging, 120 seconds to 180 seconds It can be controlled to take a break or repeat a 120 to 180 second break after 760 seconds of charging and a 120 to 180 second break after 760 seconds of discharging.

The simple diagnostic device for diagnosing battery performance according to an embodiment may collect voltage (V), current (I), and time (T) according to the charging and discharging at intervals of 2 seconds.

In the step of calculating an error by comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level, at least one of a standard performance diagnosis search engine, a Kalman filter for approximate calculation, and a KNN algorithm. It may include calculating the error using

A battery performance diagnosis system to which a diagnosis algorithm according to an embodiment is applied includes a database storing standard performance diagnosis data for each battery level in which performance diagnosis data for each battery level is recorded, and data for receiving performance diagnosis data measured in a simple diagnostic device for battery performance diagnosis. A collection unit, an error calculation processing unit that calculates an error by comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level, and a battery recorded through a result value verification process when the calculated error is greater than or equal to the standard. An update processor for updating standard performance diagnosis data for each level may be included.

A battery performance diagnosis system to which a diagnosis algorithm according to an embodiment is applied further includes a standard performance diagnosis data generation unit generating standard performance diagnosis data for each battery level, wherein the standard performance diagnosis data generation unit determines the remaining life span from 100% to 40%. The standard performance diagnosis data may be generated by collecting battery charge/discharge performance data of the battery, calculating a state of cell (SOC) for each remaining life of the battery, and reflecting the calculated SOC.

The error calculation processing unit according to an embodiment may calculate the error using at least one of a standard performance diagnosis search engine, a Kalman filter for approximate calculation, and a KNN algorithm.

According to an embodiment, the same criterion may be provided in diagnosing battery performance.

According to an embodiment, an error rate may be derived and standard performance diagnosis data may be improved through diagnosis result verification analysis.

According to one embodiment, the battery performance diagnosis can be simply and accurately performed regardless of place and time.

1 is a diagram illustrating an entire system to which a battery performance diagnosis system according to an embodiment is applied.
2 is a diagram illustrating a simple diagnostic device for diagnosing battery performance according to an embodiment.
3 is a diagram illustrating a battery performance diagnosis system according to an exemplary embodiment.
4 and 5 are graphs that can be referenced for explaining a process of optimizing deviation by the battery performance diagnosis system.
6 is a diagram illustrating an operating method of a diagnostic algorithm for diagnosing battery performance according to an exemplary embodiment.

Specific structural or functional descriptions of the embodiments according to the concept of the present invention disclosed in this specification are only illustrated for the purpose of explaining the embodiments according to the concept of the present invention, and the embodiments according to the concept of the present invention These may be embodied in various forms and are not limited to the embodiments described herein.

Embodiments according to the concept of the present invention can apply various changes and can have various forms, so the embodiments are illustrated in the drawings and described in detail herein. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosures, and includes modifications, equivalents, or substitutes included in the spirit and scope of the present invention.

Terms such as first or second may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component, for example, without departing from the scope of rights according to the concept of the present invention, a first component may be named a second component, Similarly, the second component may also be referred to as the first component.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle. Expressions describing the relationship between components, such as "between" and "directly between" or "directly adjacent to" should be interpreted similarly.

Terms used in this specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "comprise" or "have" are intended to designate that the described feature, number, step, operation, component, part, or combination thereof exists, but one or more other features or numbers, It should be understood that the presence or addition of steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, 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 the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in this specification, it should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the patent application is not limited or limited by these examples. Like reference numerals in each figure indicate like elements.

1 is a diagram illustrating an entire system 100 to which a battery performance diagnosis system 130 according to an embodiment is applied.

The entire system 100 according to an embodiment is provided with a simple diagnostic device 120 for diagnosing battery performance to generate diagnostic data by diagnosing the performance of the battery of the electric vehicle 110 and receiving the generated diagnostic data through various analysis processes. A battery performance diagnosis system 130 providing a performance diagnosis report 140 may be included.

In addition, the battery performance diagnosis system 130 maintains standard performance diagnosis data for each battery level and generates a performance diagnosis report 140 using the standard performance diagnosis data for each battery level in order to provide the same criterion for battery performance diagnosis. can provide In addition, the battery performance diagnosis system 130 may update the recorded standard performance diagnosis data for each battery level.

Accordingly, the battery performance diagnosis system 130 may derive an error rate through diagnosis result verification analysis and improve standard performance diagnosis data.

The battery performance diagnosis system 130 may record and maintain standard performance diagnosis data for each battery level in which performance diagnosis data for each battery level is recorded through the database 131 .

In addition, the battery performance diagnosis system 130 may receive performance diagnosis data measured by the simple diagnosis device 120 for battery performance diagnosis.

The battery performance diagnosis system 130 may calculate an error by comparing performance diagnosis data input from the battery performance diagnosis simple diagnostic device 120 with standard performance diagnosis data for each battery level recorded in the database 131 .

When the calculated error is greater than or equal to the standard, the battery performance diagnosis system 130 determines that the recorded standard performance diagnosis data for each battery level needs to be modified, and updates the recorded standard performance diagnosis data for each battery level through a result value verification process. can do.

The battery performance diagnosis system 130 according to an embodiment may generate standard performance diagnosis data for each battery level. In addition, the generated standard performance diagnosis data for each battery level may be recorded in the database 131 .

In order to generate standard performance diagnosis data for each battery level, the battery performance diagnosis system 130 according to an embodiment collects battery charge/discharge performance data for batteries with remaining lifespans of 100% to 40%, and SOC for each remaining lifespan of the battery. (State of Cell) can be calculated.

100% of the remaining life corresponds to a battery in new condition, and 40% of the remaining life corresponds to a battery in a disused condition.

The battery performance diagnosis system 130 according to an embodiment may collect charge/discharge performance data of a battery from a new product to a disused product and calculate SOC for each remaining life of the battery.

SOC can be calculated centering on the part where the charge/discharge efficiency of the battery changes rapidly, and in this specification, it is calculated based on 100% to 40%, but this range can be variously designed.

The battery performance diagnosis system 130 may generate the calculated SOC as standard performance diagnosis data and record it in the database 131 .

The electric vehicle 110 described in the present invention is a vehicle requiring battery performance diagnosis, and may include a performance check vehicle, a used vehicle, and the like.

Specifically, the simple diagnostic device 120 for diagnosing battery performance may provide a performance diagnosis report for an electric vehicle battery by using the simple diagnostic device for diagnosing battery performance. In addition, battery performance diagnosis can be performed simply and accurately regardless of place and time.

To this end, a performance diagnosis report for an electric vehicle battery may be provided using a simple diagnostic device for battery performance diagnosis.

According to an embodiment, the simple diagnostic device 120 for diagnosing battery performance collects voltage (V), current (I), and time (T) as state information on the battery by performing charging and discharging from an electric vehicle battery. can do.

For example, the simple diagnostic device 120 for diagnosing battery performance performs charging and discharging of the battery 110 for an electric vehicle at least once, but after 360 seconds of charging, a break of 120 seconds to 180 seconds, and after 360 seconds of discharging, 120 seconds to 120 seconds. It can be controlled to repeat a 180 second break, a 120 to 180 second break after 760 seconds of charging, and a 120 to 180 second break after 760 seconds of discharge. In addition, the simple diagnostic device 120 for diagnosing battery performance may collect voltage (V), current (I), and time (T) according to charging and discharging from the electric vehicle battery 110 at intervals of 2 seconds.

The simple diagnostic device 120 for diagnosing battery performance is directly connected using the charge/discharge terminal of the battery of an electric vehicle, and can acquire charge/discharge data for 10 minutes through a high-output charger and discharger.

Next, the simple diagnostic device 120 for diagnosing battery performance may transmit status information including the collected voltage (V), current (I), and time (T) to the battery performance diagnosing system 130 .

In addition, the simple diagnostic device 120 for diagnosing battery performance may request analysis of performance diagnosing for the collected voltage (V), current (I), and time (T).

The battery performance diagnosis system 130 according to an embodiment receives the collected voltage (V), current (I), and time (T), and receives the received voltage (V), current (I), and time (T). ) can be used to calculate diagnostic data on the performance of the battery for an electric vehicle. In addition, a performance diagnosis report may be generated based on the calculated diagnosis data.

To this end, the battery performance diagnosis system 130 may generate and retain standard performance diagnosis data for performance diagnosis, and determine performance diagnosis after analyzing the input performance diagnosis data. For example, the battery performance diagnosis system 130 can perform a 95% level performance diagnosis within 20 minutes, and can create and manage a performance diagnosis report based on this.

As a specific example, the battery performance diagnosis system 130 may calculate a capacity retention rate of an electric vehicle battery using the collected voltage (V), current (I), and time (T). In addition, the battery performance diagnosis system 130 may calculate a ratio of the current capacity to the initial capacity as a capacity maintenance ratio, calculate the diagnostic data including the calculated ratio, and generate and manage a performance diagnosis report based on the calculated ratio. there is.

As another example, the battery performance diagnosis system 130 calculates the resistance increase rate of the electric vehicle battery using the collected voltage (V), current (I), and time (T), but the current resistance compared to the initial resistance value The ratio to the value can be calculated as the rate of increase in resistance. In addition, the battery performance diagnosis system 130 may calculate diagnosis data including the calculated ratio, and generate and manage a performance diagnosis report based on the calculated diagnosis data.

The battery performance diagnosis system 130 according to an embodiment may generate the performance diagnosis report by classifying the performance level of the battery for an electric vehicle into grades by comparing the calculated diagnosis data to the pre-stored standard performance diagnosis data.

The battery performance diagnosis system 130 according to an embodiment may compare standard performance diagnosis data with current battery data. In this case, the battery performance diagnosis system 130 according to an embodiment may calculate and compare SoC and SoH values under the same conditions.

The battery performance diagnosis system 130 according to an embodiment may use a standard performance diagnosis search engine, a Kalman filter for approximate calculation, and a KNN algorithm as an optimal algorithm for comparison. In addition, the error rate can be derived through diagnosis result verification analysis, and standard performance diagnosis data can be created.

2 is a diagram illustrating a simple diagnostic device 200 for diagnosing battery performance according to an embodiment.

The simple diagnostic device 200 for diagnosing battery performance according to an embodiment may include a charge/discharge control unit 210, a status information collection unit 220, a diagnosis request unit 230, and a performance diagnosis report collection unit 240. In addition, a control unit 250 capable of overall controlling the operation of each component may be further included.

First, the charge/discharge controller 210 may control the battery for an electric vehicle to be charged and discharged at least once.

In particular, the charge/discharge control unit 210 performs charging and discharging of the electric vehicle battery at least once, but after 360 seconds of charging, a break of 120 seconds to 180 seconds, a break of 120 seconds to 180 seconds after 360 seconds of discharge, or a charge 760 It can be controlled to repeat a 120 to 180 second break after 760 seconds of discharge, and a 120 to 180 second break after 760 seconds of discharge.

Next, the state information collection unit 220 may collect voltage (V), current (I), and time (T) according to charging and discharging. For example, the state information collection unit 220 may collect voltage (V), current (I), and time (T) according to charging and discharging at intervals of 2 seconds.

The diagnosis request unit 230 may transmit the collected voltage, current, and time to the battery performance diagnosis system to request performance diagnosis analysis.

The performance diagnosis report collection unit 240 may receive a performance diagnosis report for the battery for the electric vehicle in response to the analysis request.

The performance diagnosis report is a result calculated by comparing the diagnosis data calculated with pre-stored standard performance diagnosis data, and may include analysis contents obtained by classifying and analyzing the performance level of the battery for an electric vehicle.

3 is a diagram illustrating a battery performance diagnosis system 300 according to another embodiment.

When a battery module is partially replaced, the battery performance diagnosis system 300 may determine whether the battery pack needs to be inspected in consideration of a difference in performance between the replaced battery module and the existing battery module.

To this end, the battery performance diagnosis system 300 may include a database 310, a data collection unit 320, an error calculation processing unit 330, and an update processing unit 340.

In addition, the battery performance diagnosis system 300 may further include an estimation unit 350 and a balancing processing unit 360 .

In addition, a diagnostic signal display unit 370 may be further included.

Specifically, the simple diagnostic device for diagnosing battery performance may measure voltage (V), current (I), and temperature (T) from each of the modules constituting the battery for an electric vehicle.

That is, the simple diagnostic device for diagnosing battery performance may provide the data collection unit 320 with status information including the voltage of each of the battery modules M1 to M3 and the current flowing through the battery modules M1 to M3. In addition, the simple diagnostic device for diagnosing battery performance may further provide information on the temperature of the battery modules M1 to M3 as diagnostic data in addition to the voltage and current.

Information on the state of each of the battery modules (M1 to M3) measured through the simple diagnostic device for battery performance diagnosis is provided to the battery performance diagnosis system 300 to determine the state of charge (SOC) and SOH (state of charge) of the battery modules (M1 to M3) It can be used to calculate various information including state of health as diagnostic data.

The control unit 380 estimates the SOC and SOH of each of the battery modules M1 to M3 using various state information including the voltage measured by the simple diagnostic device for battery performance diagnosis, and controls a predetermined control according to the estimated SOC and SOH values. signal can be output.

The database 310 may store standard performance diagnosis data for each battery level in which performance diagnosis data for each battery level is recorded. In addition, the data collection unit 320 may receive performance diagnosis data measured by a simple diagnostic device for battery performance diagnosis.

The error calculation processing unit 330 may calculate an error by comparing the input performance diagnosis data with recorded standard performance diagnosis data for each battery level. For example, the error calculation processing unit 330 may calculate the error using at least one of a standard performance diagnosis search engine, a Kalman filter for approximation calculation, and a KNN algorithm.

In addition, the update processing unit 340 may update the standard performance diagnostic data for each battery level recorded through a result value verification process when the calculated error is greater than or equal to a reference value.

Accordingly, the battery performance diagnosis system 300 may provide the same criterion in diagnosing battery performance, derive an error rate through diagnosis result verification analysis, and improve standard performance diagnosis data.

According to one embodiment, the battery performance diagnosis can be simply and accurately performed regardless of place and time.

According to an embodiment, a standard performance diagnosis data generator for generating standard performance diagnosis data for each battery level may be further included.

Standard performance diagnosis data generator collects battery charge/discharge performance data for batteries with 100% to 40% of remaining life, calculates SOC (State of Cell) for each remaining life of the battery, and reflects the calculated SOC to perform standard performance diagnosis data can be generated.

The estimator 350 may estimate the SOC of each of the battery modules M1 to M3 using the information on the voltage and current collected by the data collector 320, and the estimated SOC value may be stored in a database or a separate It can be stored as diagnostic data in memory.

In addition, the estimator 350, when information on the temperature of the battery modules M1 to M3 is additionally stored in the data collection unit 320, uses this information to calibrate the estimated SOC value or estimate the SOC using this information. It can also be used directly in calculations.

Since various methods are known for estimating the SOC using such state information, a detailed description of the SOC estimation method will be omitted.

The estimator 350 may estimate the SOH of the battery modules M1 to M3 using the state information collected by the data collection unit 320, and the estimated SOH value may be stored or included in diagnostic data. .

In addition, the estimator 350 according to another embodiment may estimate a more accurate SOH value by additionally utilizing state information about the temperatures of the battery modules M1 to M3.

There are various methods for estimating SOH using such state information. As an example, a SOC-SOH table according to the temperature of a battery of which SOC values according to the degree of deterioration are known is stored in the battery performance diagnosis system in advance, and then the battery The SOH may be calculated by mapping the SOC and temperature measured from the modules M1 to M3.

The control unit 380 may determine whether to output a balancing signal and whether to output a diagnostic signal using the stored SOC value. In addition, the controller 380 diagnoses when some of the battery modules M1 to M3 are replaced with new ones due to deterioration or failure, using the SOH value stored in the memory 360, that is, the SOH value of the existing battery that has not been replaced. It is possible to change the reference value that determines whether or not to output a signal.

More specifically, the controller 380 may determine whether to output a balancing signal by calculating the maximum deviation of the battery modules M1 to M3 using the stored SOC value and comparing it with the stored first limit deviation value.

That is, the controller 380 may eliminate or minimize the SOC deviation between the battery modules M1 to M3 by outputting a balancing signal when the maximum deviation is greater than or equal to the first limit deviation.

The first limit deviation may be set to various values according to the types of battery modules M1 to M3 used.

In addition, the controller 380 may compare the maximum deviation between the battery modules M1 to M3 with the stored second limit deviation value to determine whether to output the diagnostic signal.

In this case, the second limit deviation value is set to a value greater than the first limit deviation value, and may be set to various values according to the type of battery modules M1 to M3 used, similarly to the case of the first limit deviation value.

That is, when the maximum deviation is greater than or equal to the second limit deviation, the controller 380 recognizes that there is an error in the battery modules M1 to M3 or the battery performance diagnosis system 300 itself and outputs a diagnosis signal.

For example, when a problem occurs in the battery modules (M1 to M3) and charging/discharging is not normally performed or the battery performance diagnosis system 300 has an abnormality in the balancing function, and the SOC deviation between battery modules gradually increases, the user This is to enable you to check the battery system.

However, when some battery modules (M1 to M3) are replaced with new ones, there is a difference in SOH between the old battery module and the new battery module. Even in this case, a certain degree of SOC deviation inevitably occurs between battery modules.

The control unit 380 may determine whether to output the diagnostic signal based on the calculated third limit deviation value by correcting the existing second limit deviation value to compensate for the SOC deviation.

Here, the third limit deviation value is a value calculated by reflecting the SOH deviation between the new battery module and the existing battery module, and corresponds to a value obtained by adding a value proportional to the SOH deviation to the second limit deviation value.

A detailed process for the control unit 380 to optimize the limit deviation, which is a standard for outputting a diagnostic signal when some of the battery modules M1 to M3 are replaced, will be described later in detail with reference to FIGS. 4 and 5 .

A memory or database that interworks with the battery performance diagnosis system 300 includes state information such as voltage measured by the data collection unit 320, SOC estimation value estimated by the estimator 350, estimated SOH value estimated by the estimator 350, and balancing signal output The first limit deviation, which is a criterion for whether or not to output a diagnostic signal, and the second limit deviation, which is a criterion for outputting a diagnostic signal, and information for SOH mapping are stored.

Also, the stored information may be recorded in the battery performance diagnosis system.

The stored information is provided to the estimator 350 and the control unit 380, so that it is used for SOC estimation, SOH estimation, and determination of whether to output various control signals.

On the other hand, the balancing processing unit 370 serves to eliminate or minimize the SOC deviation between each battery module M1 to M3 according to the balancing signal output from the control unit 380, for example, a battery requiring SOC adjustment. A selective switching element configured to discharge the modules M1 to M3 may be included.

The diagnosis signal display unit 370 may visually or audibly output the need for diagnosis to the user according to the diagnosis signal output from the control unit 380 .

4 and 5 are graphs that can be referenced for explaining a process of optimizing deviation by the battery performance diagnosis system.

Referring to FIG. 4 , SOC values of the three battery modules 410 , 420 , and 430 calculated at a specific time point are different from each other, and the maximum deviation corresponds to D1.

As described above, the battery performance diagnosis system may perform a balancing operation to make the SOC of the battery modules 410, 420, and 430 uniform when the D1 value is equal to or greater than the first limit deviation. In addition, when the deviation is equal to or greater than the second limit, the diagnosis signal may be used to inform the user that diagnosis is necessary.

Next, referring to FIG. 5 , for example, when any one of the battery modules is replaced with a new one 520, the SOH of the new battery module 520 is 100%, whereas the SOH of the existing battery modules 510 and 530 is Since (100-d) (%) (however, 0 < d < 100) is only (D1 + d) = D, the maximum SOC deviation occurs.

Next, assuming that the second limit deviation of the battery performance diagnosis system is set to 45%, and the d value is estimated to be 15%, the diagnostic signal generation criterion after the module replacement time corresponds to the third limit deviation, It becomes 60%.

That is, the battery performance diagnosis system generates a diagnostic signal when the maximum SOC deviation between battery modules is 45% or more before the module replacement time, but after the module replacement time, the SOC maximum deviation is considered considering the degree of deterioration of the existing battery module. A diagnostic signal can be generated only when is greater than 60%.

After all, when the present invention is used, when some battery modules are replaced in the process of using the battery pack, whether there is a need to check the battery pack and the simple diagnostic device for diagnosing battery performance in consideration of the difference in performance between the replaced battery module and the existing battery module can judge

6 is a diagram illustrating a battery management method for diagnosing battery performance according to an exemplary embodiment.

The battery management method for diagnosing battery performance according to an embodiment may record and maintain standard performance diagnosis data for each battery level in which performance diagnosis data for each battery level is recorded (step 601).

Next, in the battery management method for diagnosing battery performance according to an embodiment, data for performance diagnosis measured by a simple diagnostic device for diagnosing battery performance may be input (step 602).

In particular, the simple diagnostic device for diagnosing battery performance according to an embodiment controls the battery for an electric vehicle to be charged and discharged at least once, and the voltage (V), current (I), and time (T) according to charging and discharging. ) is collected, and the collected voltage, current, and time are transmitted to the battery performance diagnosis system to request analysis of performance diagnosis. In addition, the simple diagnostic device for diagnosing battery performance may receive a performance diagnosing report for an electric vehicle battery in response to a request for analysis.

A simple diagnostic device for diagnosing battery performance according to an embodiment performs charging and discharging of a battery for an electric vehicle at least once, and takes a break of 120 seconds to 180 seconds after 360 seconds of charging and a break of 120 seconds to 180 seconds after 360 seconds of discharging. Alternatively, it can be controlled to repeat a break of 120 seconds to 180 seconds after 760 seconds of charging and a break of 120 seconds to 180 seconds after 760 seconds of discharge. In addition, the simple diagnostic device for diagnosing battery performance according to an embodiment may collect voltage (V), current (I), and time (T) according to charging and discharging at intervals of 2 seconds.

An error may be calculated by comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level (step 603). For example, in order to calculate the error, at least one of a standard performance diagnosis search engine, a Kalman filter for approximation calculation, and a KNN algorithm may be used to calculate the error.

Next, in the battery management method for diagnosing battery performance according to an embodiment, it is determined whether the calculated error is greater than or equal to a standard (step 604), and if the calculated error is greater than or equal to a standard, the battery recorded through a result value verification process. Standard performance diagnosis data for each level may be updated (step 605).

Meanwhile, the battery management method for diagnosing battery performance according to an embodiment may further include generating standard performance diagnosis data for each battery level. To this end, the battery management method for battery performance diagnosis collects battery charge/discharge performance data for batteries with remaining lifespans of 100% to 40% to generate standard performance diagnosis data for each battery level, and SOC ( State of Cell) can be calculated.

Consequently, the same criterion for diagnosing battery performance can be provided by using the present invention. In addition, an error rate can be derived through diagnosis result verification analysis, standard performance diagnosis data can be improved, and battery performance diagnosis can be performed simply and accurately regardless of place and time.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (9)

recording and maintaining standard performance diagnosis data for each battery level in which performance diagnosis data is recorded for each battery level;
Receiving performance diagnosis data measured by a simple diagnostic device for battery performance diagnosis;
calculating an error by comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level; and
Updating standard performance diagnosis data for each battery level recorded through a result value verification process when the calculated error is greater than or equal to a reference value;
Updating the standard performance diagnosis data,
performing a balancing operation to equalize SOC values of the plurality of battery modules when a maximum deviation of state of cell (SOC) values of the plurality of battery modules is equal to or greater than a first limit deviation;
Generating a diagnostic signal when the SOC value of the plurality of battery modules is greater than or equal to a second limit deviation of 45% before any one of the plurality of battery modules is replaced with a new one; and
A diagnostic algorithm for diagnosing battery performance comprising the step of generating a diagnostic signal when the SOC value of the plurality of battery modules is greater than or equal to a third limit deviation of 60% after any one of the plurality of battery modules is replaced with a new one. how it works. According to claim 1,
Steps to generate standard performance diagnosis data for each battery level
Including more,
The step of generating standard performance diagnosis data for each battery level,
A step of calculating the SOC (State of Cell) for each remaining life of the battery by collecting battery charge/discharge performance data for the battery from 100% to 40% of the remaining lifespan
A method of operating a diagnostic algorithm for diagnosing battery performance comprising a. According to claim 1,
The simple diagnostic device for diagnosing battery performance,
The electric vehicle battery is controlled to be charged and discharged at least once, and the voltage (V), current (I), and time (T) according to the charging and discharging are collected, and the collected voltage, current, and time to a battery performance diagnosis system to request performance diagnosis analysis, and to receive a performance diagnosis report on the electric vehicle battery in response to the analysis request. method. According to claim 3,
The simple diagnostic device for diagnosing battery performance,
The electric vehicle battery is charged and discharged at least once, but after 360 seconds of charging, a break of 120 seconds to 180 seconds, a break of 120 seconds to 180 seconds after 360 seconds of discharge, or a break of 120 seconds to 180 seconds after 760 seconds of charging , A method of operating a diagnostic algorithm for diagnosing battery performance, characterized by controlling to repeat a break of 120 seconds to 180 seconds after discharging for 760 seconds. According to claim 4,
The simple diagnostic device for diagnosing battery performance,
A method of operating a diagnostic algorithm for diagnosing battery performance, characterized in that the voltage (V), current (I), and time (T) according to the charging and discharging are collected at intervals of 2 seconds. According to claim 1,
Comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level to calculate an error,
Calculating the error using at least one of a standard performance diagnosis search engine, a Kalman filter for approximate calculation, and a KNN algorithm
A method of operating a diagnostic algorithm for diagnosing battery performance, comprising: A database storing standard performance diagnosis data for each battery level in which performance diagnosis data for each battery level is recorded;
a data collection unit that receives performance diagnosis data measured by a simple diagnostic device for battery performance diagnosis;
an error calculation processing unit comparing the input performance diagnosis data with the recorded standard performance diagnosis data for each battery level to calculate an error; and
An update processing unit for updating standard performance diagnosis data for each battery level recorded through a result value verification process when the calculated error is greater than or equal to a reference value;
The update processing unit,
When the maximum deviation of the state of cell (SOC) values of the plurality of battery modules is greater than or equal to a first limit deviation, a balancing operation is performed to make the SOC values of the plurality of battery modules uniform;
Generates a diagnostic signal when the SOC value of the plurality of battery modules is 45% or more, a second limit deviation, before any one of the plurality of battery modules is replaced with a new one;
Battery performance diagnosis to which a diagnosis algorithm is applied, characterized in that a diagnosis signal is generated when the SOC value of the plurality of battery modules is greater than or equal to 60%, a third limit deviation, after any one of the plurality of battery modules is replaced with a new one. system. According to claim 7,
Standard performance diagnosis data generation unit that generates standard performance diagnosis data for each battery level
Including more,
The standard performance diagnosis data generation unit,
Collecting battery charge/discharge performance data for batteries from 100% to 40% of remaining life, calculating SOC (State of Cell) for each remaining life of the battery, and generating the standard performance diagnosis data by reflecting the calculated SOC A battery performance diagnosis system to which a diagnosis algorithm is applied. According to claim 7,
The error calculation processing unit,
A battery performance diagnosis system to which a diagnosis algorithm is applied, wherein the error is calculated using at least one of a standard performance diagnosis search engine, a Kalman filter for approximate calculation, and a KNN algorithm.

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