KR20210156919A - System for providing battery management information of vehicl and method thereof - Google Patents

Abstract

The present invention relates to a system for providing battery management information of a vehicle and a method therefor. The system for providing the battery management information of the vehicle according to one embodiment of the present invention may comprise: a calculation unit for storing a deterioration degree value according to an accumulated vehicle mileage after calculating a deterioration degree of a high voltage battery, learning and storing a usage area pattern and a charging pattern of the high voltage battery, and learning and storing an operation pattern of a vehicle driver; and a display unit providing a deterioration degree trend up to now and future deterioration degree prediction information according to the accumulated vehicle mileage, deterioration degree information compared with vehicles having the same accumulated mileage based on big data, and the battery management information for improving durability of the high voltage battery. An embodiment of the present invention provides the system for providing the battery management information of the vehicle so that driver reliability can be improved, and the method therefor.

Description

SYSTEM FOR PROVIDING BATTERY MANAGEMENT INFORMATION OF VEHICL AND METHOD THEREOF

The present invention relates to a system and method for providing battery management information for a vehicle, and more particularly, to a driver by showing a picture or graph of a change in battery durability provided in an electric vehicle according to a battery deterioration trend and a current driving habit. A system and method for providing battery management information for a vehicle to provide information on a degree of battery deterioration, and to induce a correct driving habit and correct battery management.

Unlike general internal combustion engine vehicles, electric vehicles include batteries, inverters and converters, electric motors, and a battery management system (BMS).

A rechargeable secondary battery is used for the battery, and has the greatest influence on the performance and price of an electric vehicle, the electric motor generates driving force through the battery, and the inverter and converter change direct current and alternating current.

BMS stores electrical energy in a battery applied to an electric vehicle, enables it to be used as a power source for an electric vehicle through a discharge process when necessary, and regenerates energy discarded during braking into electric energy and stores it.

In electric vehicles, the BMS controls the cooling performance of the battery and manages and controls the state of charge (SOC), maximum charge and discharge power, and various warnings and faults of the battery required for vehicle operation in real time. The main purpose is to create an optimal operating environment.

In addition, during the charging and discharging of the battery, the state of health (SOH) information is provided so that the battery life can be extended by preventing situations that may damage the battery, such as overcharging and overdischarging in advance. is also responsible for

However, conventionally, most of the contents of estimating the deterioration (SOH) information of the existing battery and understanding the deterioration state of the battery have been performed, and information other than the current state of the battery is not provided to the driver.

That is, there is a problem in that it only informs the driver of the current state of the battery, and it is not known whether the rate of battery deterioration is fast or slow, or whether the battery itself is in a normal state without a problem.

Republic of Korea Patent Publication Registration No. 10-1998069

An embodiment of the present invention can easily deliver battery deterioration information and predictions to the driver by showing the trend of battery deterioration provided in the electric vehicle and the prediction of battery durability change due to current driving habits in a picture or graph, And by recognizing the importance of vehicle usage habits and maintenance tips, battery quality maintenance period can be increased, thereby reducing A/S costs and improving driver reliability through comparative analysis through big data. An object of the present invention is to provide a system and method for providing battery management information.

The technical problems of the present invention 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.

The system for providing battery management information for a vehicle according to an embodiment of the present invention stores the deterioration value according to the accumulated mileage of the vehicle after calculating the deterioration degree of the high voltage battery, and learns and stores the usage area pattern and the charging pattern of the high voltage battery and a calculation unit that learns and stores the driving pattern of the vehicle driver, and provides information on the deterioration degree to date and future deterioration prediction information according to the accumulated mileage of the vehicle, and a vehicle having the same accumulated mileage based on big data The display unit may include a display unit that provides information on a degree of deterioration compared to the battery and provides battery management information for improving durability of the high voltage battery.

In an embodiment, the operation unit may learn about the main use area according to the state of charge of the high voltage battery.

In an embodiment, the operation unit may learn the fast charging rate, the slow charging rate, or the charging temperature information according to the season of the high voltage battery.

In an embodiment, the calculator may perform learning of the average use current or the square of the average use current of the high voltage battery.

In an embodiment, the calculation unit may perform learning about the rapid acceleration, sudden braking, highway driving ratio, or maximum speed of the vehicle.

In an embodiment, the calculator may perform learning of a ratio of a driving time and a non-driving time of the vehicle, or a temperature distribution in the non-driving time (eg, idle or parking time).

In an embodiment, the display unit may provide a graph of the degree of deterioration of the high voltage battery according to the accumulated driving distance of the vehicle.

In an embodiment, the display unit may display a deterioration degree transition of the high voltage battery according to the big data, such as a maximum value, a minimum value, or an average value, and provide a transition region of a normal category of battery deterioration based on this.

In an embodiment, the display unit may provide a degree of degradation before the improvement of the high voltage battery usage pattern and a predicted degradation degree after the improvement of the high voltage battery usage pattern.

In an embodiment, the display unit may provide a method or pattern for efficient management of the high voltage battery.

In a method for providing battery management information for a vehicle according to another embodiment of the present invention, in the calculating unit constituting the battery control unit, after calculating the degree of degradation of the high voltage battery, the degradation value according to the accumulated vehicle mileage is stored, and the high voltage battery is used In the calculation step of learning and storing the region pattern and the charging pattern, learning and storing the driving pattern of the vehicle driver, and the display unit constituting the battery control unit, the deterioration trend according to the accumulated mileage of the vehicle and deterioration in the future A display step of providing degree prediction information, providing deterioration degree information compared with vehicles having the same cumulative mileage based on big data, and providing battery management information for improving the durability of the high voltage battery. have.

In an embodiment, the calculating step may include performing learning of the main use area according to the state of charge of the high voltage battery.

In an embodiment, the calculating step may include learning about the fast charging rate, the slow charging rate, or the charging temperature information according to the season of the high voltage battery.

In an embodiment, the calculating step may include performing learning about the average use current or the square of the average use current of the high voltage battery.

In an embodiment, the calculating step may include learning about the rapid acceleration, sudden braking, highway driving ratio, or maximum speed of the vehicle.

In an embodiment, the calculating step may include learning about the ratio of the driving time and the non-driving time of the vehicle, or the temperature distribution in the non-driving time (the idle or parking time).

In an embodiment, the displaying may include providing a degree of deterioration of the high voltage battery according to the accumulated driving distance of the vehicle as a graph.

In an embodiment, the displaying step includes displaying a deterioration degree trend of the high voltage battery according to the big data, such as a maximum value, a minimum value, or an average value, and providing a normal category transition region of the battery deterioration based on this. may include

In an embodiment, the displaying may include providing a degree of degradation before the improvement of the high voltage battery usage pattern and providing a predicted degradation degree after the improvement of the high voltage battery usage pattern.

In an embodiment, the displaying may include providing a method or pattern for efficient management of the high voltage battery.

This technology can easily deliver battery deterioration information and predictions to the driver by showing the trend of battery deterioration provided in an electric vehicle and the prediction of battery durability change due to current driving habits in pictures or graphs, and Recognizing the importance of usage habits and management tips, the maintenance period of battery quality can be increased, thereby reducing A/S costs, and it has the effect of improving driver reliability through comparative analysis through big data.

In addition, various effects directly or indirectly identified through this document may be provided.

1 is a block diagram illustrating a system for providing battery management information for a vehicle according to an embodiment of the present invention;
2 is a block diagram illustrating a battery control unit constituting a system for providing battery management information for a vehicle according to an embodiment of the present invention;
3 to 5 are graphs illustrating battery information provided through a vehicle battery management information providing system according to an embodiment of the present invention;
6 is a flowchart illustrating a method of providing battery management information for a vehicle according to an embodiment of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function interferes with the understanding of the embodiment of the present invention, the detailed description thereof will be omitted.

In describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. In addition, 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 the present invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 5 .

1 is a block diagram illustrating a system for providing battery management information for a vehicle according to an embodiment of the present invention, and FIG. 2 is a block diagram showing a battery control unit constituting a system for providing battery management information for a vehicle according to an embodiment of the present invention 3 to 5 are graphs illustrating battery information provided through a vehicle battery management information providing system according to an embodiment of the present invention.

Referring to FIG. 1 , a system for providing battery management information for a vehicle according to an embodiment of the present invention is provided in an electric vehicle 100 and may include a high voltage battery 110 and a battery control unit 150 . .

Referring to FIG. 2 , the battery control unit 150 includes an operation unit including a deterioration degree calculating unit 151 , a driving pattern calculating unit 152 , a use area calculating unit 153 , and a charging pattern calculating unit 154 , and a deterioration degree display unit 157 . ), a big data comparison unit 158 and a display unit including a usage pattern recommendation unit 159 may be included.

The display unit may include an audio device, a video device, a navigation device, or a cluster provided in the electric vehicle 100 .

After calculating the state of health (SOH) of the high voltage battery 110 , the deterioration calculating unit 151 may store the deterioration value according to the accumulated mileage (ODO) of the electric vehicle 100 .

The degree of deterioration of the high voltage battery 110 is calculated by using the battery state information such as voltage, current and temperature of the high voltage battery 110 to integrate the current from the first open circuit voltage (OCV) and the mapping table. It can be calculated using a correction coefficient that is a difference value of the second open circuit voltage OCV_i that is mapped to a state of charge (SOC) change amount of the high voltage battery 110 according to the present invention. is omitted.

The driving pattern calculating unit 152 learns and stores the driving pattern of the driver of the electric vehicle 100, and it is possible to perform learning about the rapid acceleration rate, the sudden braking rate, the highway driving rate, or the maximum speed of the electric vehicle 100. have.

In addition, the driver's driving pattern performed through the driving pattern calculating unit 152 may be transmitted to a separate management server 300 and utilized as big data.

For example, a driver's driving habits using big data can be expressed as a safety index and used for insurance.

In addition, it is possible to learn the ratio between the driving time and the non-driving time (Idle or parking time), and it is also possible to learn the temperature distribution in the non-driving time (Idle or parking time).

The usage area calculating unit 153 learns and stores the usage area pattern of the high voltage battery 110 , and may perform learning of the main usage area according to the state of charge (SOC) of the high voltage battery 110 .

For example, it is possible to learn whether the main use area of the high voltage battery 110 is when the state of charge is 20% to 80% or when the state of charge is 70% to 100%.

Also, it is possible to learn the distribution of the used current area or the square of the used current area.

The charging pattern calculating unit 154 learns and stores the charging pattern of the high voltage battery 110, and the rapid charging rate, slow charging rate, or seasonal charging temperature information of the high voltage battery 110, the charging state at the start of charging, etc. learning can be carried out.

For example, as a charging pattern of the high voltage battery 110 , when charging with 100% fast charging, charging with 20% fast charging and 80% slow charging, or a temperature range during charging, the high voltage battery 110 can be learned.

Referring to FIG. 3 , the deterioration display unit 157 displays the deterioration degree (SOH) trend and future deterioration prediction information of the high voltage battery 110 according to the accumulated mileage (ODO) of the electric vehicle 100 as a picture or It can be provided as a graph.

In addition, the drivable distance of the electric vehicle 100 may be displayed when the high voltage battery 110 is fully charged according to a change in the degree of deterioration.

For example, the drivable distance of the electric vehicle 100 in the initial stage when the high voltage battery 110 is fully charged, the drivable distance of the current electric vehicle 100 using the high voltage battery 110 , and the cumulative mileage of 150,000 km The drivable distance of the electric vehicle 100 at the time of , and the drivable distance of the electric vehicle 100 when the accumulated mileage is 200,000 km may be displayed.

By providing a real sense of the drivable distance when fully charged according to a change in the degree of deterioration of the high voltage battery 110 , the driver of the electric vehicle 100 has a greater understanding of the high voltage battery 110 , and the future electric vehicle 100 . It is possible to easily understand information about the high voltage battery 110 by estimating the drivable distance when maintaining the .

Referring to FIG. 4 , the big data comparison unit 158 can provide information on the degree of deterioration compared with other electric vehicles having the same accumulated mileage based on the big data provided from the management server 300 . , the deterioration degree of the high voltage battery 110 according to the big data, such as the minimum value, the minimum deterioration value, or the average deterioration degree may be displayed, and a normal category trend region of the deterioration degree of the battery may be displayed based on this.

Accordingly, the driver of the electric vehicle 100 can determine whether the high voltage battery 110 provided in the electric vehicle 100 is in the normal range through the comparison value for the high voltage battery 110 , Even if it belongs to the category, it is possible to determine whether the degree of deterioration of the high voltage battery 110 is higher or lower than the average.

Through this, the driver of the electric vehicle 100 can determine whether his or her driving habits and usage patterns such as charging or discharging of the high voltage battery 110 are correct.

Referring to FIG. 5 , the usage pattern recommendation unit 159 may display battery management information for improving durability of the high voltage battery 110 .

The usage pattern recommendation unit 159 may use information on the electric vehicle usage habit according to statistics through AI, deep learning, or data collection, etc. Motivation for correct battery management may be provided by displaying the predicted deterioration degree after the improvement of the battery 110 usage pattern.

For example, by presenting an efficient battery usage pattern for improving battery durability, it is suggested that the high voltage battery 110 be mainly charged when the state of charge is 10%, and mainly charged when the state of charge is 30% or less. And it can be suggested that the fast charging rate is 80%, so that the fast charging rate is 50% or less.

In addition, indoor parking can be induced by suggesting that the charging temperature was 0℃ on average, so that it can be charged at 20℃. .

In addition, the display unit may display the service life when the remaining life of the high voltage battery 110 is 70% to 80%.

Hereinafter, a method for providing battery management information for a vehicle according to another embodiment of the present invention will be described in detail with reference to FIG. 6 . 6 is a flowchart illustrating a method of providing battery management information for a vehicle according to an embodiment of the present invention.

Hereinafter, it is assumed that the system for providing battery management information of the vehicle of FIG. 1 performs the process of FIG. 6 .

First, after the calculation unit constituting the battery control unit 150 calculates the degree of deterioration of the high voltage battery, the deterioration value according to the accumulated mileage of the vehicle may be stored ( S110 ).

Subsequently, the usage area pattern and charging pattern of the high voltage battery 110 may be learned and stored (S120, S130).

Subsequently, the driving pattern of the driver of the electric vehicle 100 may be learned and stored ( S140 ).

Next, the display unit constituting the battery control unit 150 provides the deterioration degree trend to the present and future deterioration degree prediction information according to the accumulated mileage of the electric vehicle 100, and has the same accumulated mileage based on big data. It is possible to provide information on the degree of deterioration compared to vehicles and provide battery management information for improving the durability of the high voltage battery (S150).

As described above, the system and method for providing battery management information for a vehicle according to the present invention express the degree of deterioration of the current high voltage battery for electric vehicles in various ways, and based on the big data, the current driver's usage pattern and other users It is possible to provide consumers with a variety of information to experience more easily through comparison

In other words, it is possible to easily identify the degree of deterioration and future deterioration of high-voltage batteries by showing not only the current deterioration, but also the past to the present and predicted future deterioration according to the accumulated driving distance (ODO). In addition, by expressing the drivable distance when fully charged, drivers can easily accept high-voltage battery-related management information compared to expressing only the degree of deterioration.

In addition, it is possible to objectively grasp the current state of the battery by showing the deterioration degree of other electric vehicles based on big data compared to the deterioration area within the normal range.

Therefore, the driver may have anxiety about the durability of the high-voltage battery, and may feel that the high-voltage battery is deteriorated by feeling or remembering it rather than a numerical value. Showing off can reduce anxiety.

In addition, since it shows that the deterioration of the high-voltage battery is proceeding normally, unnecessary A/S visits can be reduced, and if the deterioration of the high-voltage battery is outside the normal range, A/S for the abnormal high-voltage battery before a safety accident occurs can make it possible to proceed.

By comparing the deterioration trend of the high-voltage battery of one's electric vehicle with the average deterioration trend, it is possible to determine whether the high-voltage battery is well managed, and if it is insufficient compared to the average, the driver can be reminded that a driving habit or electric vehicle management habit is necessary. have.

By guiding drivers with driving habits or how to manage electric vehicles to improve battery durability, it is possible to increase the durability of electric vehicles and instill correct knowledge. You can fix the problem and develop good high-voltage battery management habits.

The durability of the battery is improved according to driving habits and high voltage battery management, and it is possible to easily experience information by showing an increase in the driving range when fully charged in the future.

Through big data analysis, the high voltage battery usage pattern and driving habits of the group with less deterioration can be converted into data, and the correct driving habits can be guided to the driver based on this data.

On the other hand, the reason for collecting big data and using it is that the high-voltage battery for electric vehicles has a very harsh usage environment, unlike other electronic devices.

For example, temperature deviation according to region and season, electrical load due to acceleration and deceleration, load due to rapid charging, and high efficiency when discharging compared to other electronic devices may be high, and there may be a lot of heat generated at this time.

In addition, since the lifespan of an electric vehicle is long and the durability of the battery is related not only to the durability of use but also to the durability of being left alone, it is difficult to evaluate the accelerated durability unlike other parts or materials. It was difficult to know whether to give

Therefore, since big data acquires real-time user information in large quantities, it is possible to collect usage and management patterns of groups with high durability of actual high-voltage batteries and present them to the driver.

In addition, since classification according to region and season is possible, correct guidance according to location and weather is possible, and as the proportion of electric vehicles increases and the period of use increases, the amount of data and accuracy may increase.

According to the system and method for providing battery management information for a vehicle according to the present invention as described above, battery deterioration information is provided to the driver by showing a picture or graph of a prediction of a battery deterioration trend and a battery durability change according to a current driving habit. and prediction contents can be easily delivered, and by recognizing the importance of battery and vehicle usage habits and management tips, the battery quality maintenance period can be increased, thereby reducing A/S costs, and performing comparative analysis through big data. This has the effect of improving driver reliability.

Meanwhile, the vehicle battery management information providing method according to steps S110 to S150 according to the present invention may be programmed and stored in a computer-readable recording medium.

The above description is merely illustrative of the technical spirit of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: electric vehicle 110: high voltage battery
150: battery control unit

Claims (19)

After calculating the deterioration degree of the high voltage battery, the deterioration value according to the accumulated mileage of the vehicle is stored,
Learning and storing the usage area pattern and charging pattern of the high voltage battery,
a calculation unit for learning and storing the driving pattern of the vehicle driver; and
Provides deterioration trend trend and future deterioration prediction information according to the vehicle's accumulated mileage,
Based on big data, it provides information on the degree of deterioration compared to vehicles with the same cumulative mileage,
Display unit providing battery management information for improving the durability of the high voltage battery
Vehicle battery management information providing system comprising a. The method according to claim 1,
The calculation unit,
A system for providing battery management information for a vehicle, characterized in that learning of a main use area according to the state of charge of the high voltage battery is performed. The method according to claim 1,
The calculation unit,
A system for providing battery management information for a vehicle, characterized in that learning about the fast charging rate, the slow charging rate, or the charging temperature information according to the season of the high voltage battery. The method according to claim 1,
The calculation unit,
The system for providing battery management information for a vehicle, characterized in that learning is performed on the average use current or the square of the average use current of the high voltage battery. The method according to claim 1,
The calculation unit,
A system for providing battery management information for a vehicle, characterized in that learning about the rapid acceleration, sudden braking, highway driving ratio, or maximum speed of the vehicle is performed. The method according to claim 1,
The calculation unit,
A system for providing battery management information for a vehicle, characterized in that the learning about the ratio of the driving time and the non-driving time of the vehicle or the temperature distribution in the non-driving time (leaving or parking time). The method according to claim 1,
The display unit,
The system for providing battery management information for a vehicle, characterized in that it provides a graph of the degree of deterioration of the high voltage battery according to the accumulated mileage of the vehicle. The method according to claim 1,
The display unit,
A system for providing battery management information for a vehicle, characterized in that a deterioration degree trend including the maximum, minimum, or average deterioration degree of the high voltage battery according to big data is displayed, and a battery deterioration degree normal category transition region is provided based on this . The method according to claim 1,
The display unit,
The degree of deterioration before the improvement of the high voltage battery usage pattern,
The system for providing battery management information for a vehicle, characterized in that it provides a predicted degree of deterioration after the improvement of the high voltage battery usage pattern. In the calculation unit constituting the battery control unit,
After calculating the deterioration degree of the high voltage battery, the deterioration value according to the accumulated mileage of the vehicle is stored,
Learning and storing the usage area pattern and charging pattern of the high voltage battery,
an operation step of learning and storing the driving pattern of the vehicle driver; and
In the display unit constituting the battery control unit,
Provides deterioration trend trend and future deterioration prediction information according to the vehicle's accumulated mileage,
Based on big data, it provides information on the degree of deterioration compared to vehicles with the same cumulative mileage,
A display step of providing battery management information for improving the durability of the high voltage battery
A method of providing battery management information for a vehicle, comprising: 11. The method of claim 10,
The calculation step is
The method of providing battery management information for a vehicle, comprising the step of learning the main use area according to the state of charge of the high voltage battery. 11. The method of claim 10,
The calculation step is
The method of providing battery management information for a vehicle, comprising the step of learning the fast charging rate, the slow charging rate, or the charging temperature information according to the season of the high voltage battery. 11. The method of claim 10,
The calculation step is
The method of providing battery management information for a vehicle, comprising the step of learning the average use current or the square of the average use current of the high voltage battery. 11. The method of claim 10,
The calculation step is
The method of providing battery management information for a vehicle, comprising the step of performing learning about the rapid acceleration, sudden braking, highway driving rate, or maximum speed of the vehicle. 11. The method of claim 10,
The calculation step is
The method of providing battery management information for a vehicle, comprising the step of learning the ratio of the driving time to the non-driving time of the vehicle or the temperature distribution in the non-driving time (the idle or parking time). 11. The method of claim 10,
The display step is
and providing the degree of deterioration of the high voltage battery according to the accumulated mileage of the vehicle as a graph. 11. The method of claim 10,
The display step is
Displaying a deterioration degree trend including the maximum, minimum, or average deterioration degree of the high-voltage battery according to big data, and providing a normal category transition region of battery deterioration based on this. How to provide administrative information. 11. The method of claim 10,
The display step is
providing a degree of deterioration before the improvement of the high voltage battery usage pattern; and
and providing a predicted degree of deterioration after the improvement of the high voltage battery usage pattern. A computer-readable recording medium in which a program for executing the method for providing battery management information for a vehicle according to any one of claims 10 to 18 is recorded.

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