KR20190078704A - System and method for controlling idle stop operation - Google Patents

Abstract

Disclosed are a system and a method for controlling idle stop entry. According to embodiments of the present invention, the system for controlling idle stop entry comprises: a server to collect and group a plurality of vehicle use tendencies, and infer charging/discharging performance of a battery for each group to differently generate an SOC reference parameter for each group for an idle stop entry condition; and a vehicle to set an SOC reference parameter corresponding to a vehicle use tendency group of a customer as an idle stop entry condition, and control idle entry in accordance with a battery SOC based on the set SOC reference parameter.

Description

[0001] SYSTEM AND METHOD FOR CONTROLLING IDLE STOP OPERATION [0002]

The present invention relates to an idle stop entry control system and method thereof, and more particularly, to an idle stop entry control system and a method thereof for variably controlling an idle stop entry condition according to a usage tendency of a vehicle.

In general, the Idle Stop & Go (ISG) will automatically stop the engine when the ISG function entry condition is met (Idle) when the vehicle is caught in a traffic signal or for other reasons, and a specific restart condition Or when the accelerator pedal is depressed) is met (Go).

The ISG establishes various entry conditions that take into account the driver's safety and vehicle condition, and enters an idle stop only when it is satisfied. Among them, it is very sensitive to the state of charge (SOC) considering the discharge problem of the battery, so that the idle stop is restricted when the SOC is lower than a certain reference level.

However, since the battery is a consumable part, charging and discharging performance may vary depending on manufacturer, capacity, and life span, and there is a problem that a customer complaint occurs because an idle stop is not operated due to performance problems of such a battery.

Actually, there are many field claims due to the entry into the idle stop, which is often caused by a shortage of the battery charge state (SOC). Normally, the SOC reference value of the battery that limits the idle stop is fixed. However, the SOC is only a reference to the battery durability / performance status and does not guarantee the same battery status with the same SOC value.

Also, there is a lot of difference between the actual SOC area expected in the design and the actual area in the vehicle, which causes the performance of the idle stop expected at the design stage to be less than the expectation of the customer.

However, when the reference level of the battery SOC is set to a low level, there is a problem of a discharge risk, and there is a problem that it is difficult to set for the idle stop entry control.

The matters described in the background section are intended to enhance the understanding of the background of the invention and may include matters not previously known to those skilled in the art.

An embodiment of the present invention is to provide an idle stop entry control system and a method for varying an SOC reference level for restricting an idle stop entry based on the charging / discharging performance of a group-by-group battery according to a user's vehicle usage tendency.

According to an aspect of the present invention, the idle stop entry control system collects and groups a plurality of vehicle use tendencies, and estimates the charge / discharge performance of each group battery to differently generate group-specific SOC reference parameters for an idle stop entry condition server; And a vehicle that sets an SOC reference parameter corresponding to a customer's vehicle use tendency group as an idle stop entry condition and controls idle entry according to the battery SOC based on the set SOC reference parameter.

The server may further include: a communication unit for collecting usage tendencies for a plurality of vehicle parking and traveling through big data; An analyzing unit for analyzing the usage tendencies and generating a vehicle use tendency classification table by dividing customers having similar use tendencies into a plurality of groups based on a factor of driving time, driving frequency, and parking time of the vehicle; A database for storing a vehicle use tendency classification table in which the SOC reference parameter for each group is set; And a controller for storing the vehicle registration information for each customer and analyzing the usage tendency of parking and running of the vehicle for each customer.

Also, the vehicle use tendency classification table may include at least one of a vehicle ratio, a number of running times, a running distance, a running time, a pause period, a starting SOC, an RO ratio, and a SOC reference parameter according to a plurality of use tendency groups can do.

In addition, the analyzing unit can identify statistical values for each factor in the collected data on the vehicle use tendency, binarize the distribution, and classify the data into a plurality of subdivided groups.

In addition, the analyzing unit may integrate the plurality of groups into a significant group through statistical methods of non-parametric test and post-test.

Also, the analyzing unit can estimate the charge / discharge performance according to the average SOC of each group in the vehicle utilization tendency classification table and the degree of SOC falling during parking, thereby setting the SOC reference parameter for each group.

Also, the analyzing unit may calculate a SOC long-term trend line of the vehicle SOC by calculating the SOC value of the starting time point of the vehicle and the SOC moving average value of the driving time, and calculate the average SOC of each group based on the long-term trending trend line.

In addition, the analyzer may calculate the SOC moving average using any of a simple moving average method, a weighted moving average method, and an exponentially weighted moving average method.

If the long term trend line of the customer's vehicle SOC is determined as an upward trend, the control unit decrements the SOC reference parameter value set in the vehicle by one and sets the set SOC reference parameter value to 1 .

Also, the controller may increase the SOC reference parameter value set in the vehicle by one if the outside temperature of the winter falls below a predetermined temperature.

The vehicle further includes: a vehicle communication unit for communicating with the server through a wireless communication network;

An operation information detector for detecting operation information measured by various sensors according to the driving of the vehicle; A storage unit for storing a vehicle utilization tendency classification table generated by the server, a usage tendency group of customers, a SOC reference parameter value set for the vehicle, and a long term trend degree of the vehicle SOC; And a vehicle controller for detecting a driving time, a driving frequency, and a parking time required for the vehicle utilization tendency analysis through the driving information detector, and transmitting the detected driving time, driving frequency, and parking time to the server.

In addition, the vehicle controller may display at least one of the customer's vehicle use propensity, the long-term trend of the vehicle SOC, and the changed set SOC reference parameter value when the idle stop is restricted or the setting of the SOC reference parameter is changed.

Meanwhile, an idle stop entry control method of a server interlocked with a vehicle according to an aspect of the present invention includes the steps of: a) collecting usage tendencies of various vehicles to generate a vehicle use incentive classification table divided into a plurality of vehicle use incentive groups step; b) setting the SOC reference parameter for each group for the idle stop entry condition by deducing the charge / discharge performance of the battery for each vehicle use tendency group; c) identifying a vehicle usage propensity group that matches the vehicle usage information collected from the customer's vehicle; And d) sending an SOC reference parameter of the identified vehicle usage propensity group to the customer's vehicle to change the idle stop entry criteria.

In addition, the step (a) includes the steps of: identifying statistical values for each factor in the collected data on the vehicle utilization tendency, classifying the statistics into a plurality of subdivided groups by binning each distribution; And integrating the plurality of groups into a significant group through statistical methods of non-parametric testing and post-analysis.

Calculating a long-term trend line of the vehicle SOC by calculating a SOC value of a vehicle-start time point and a SOC moving average value based on the SOC information collected for a predetermined period in the customer vehicle after the step d); And generating change information of the established SOC reference parameter if it is determined that the long term trend line of the vehicle SOC is changed.

If the long term trend line of the vehicle SOC according to the SOC moving average of the predetermined period of time of the customer vehicle is an upward trend after the step d), reducing the existing SOC reference parameter value by 1; Or increasing the existing SOC reference parameter value by 1 if the long term trend line of the vehicle SOC is in a downward trend.

According to another aspect of the present invention, there is provided a method for controlling an idle stop of a vehicle, comprising the steps of: a) receiving and storing a vehicle usage trend classification table in which a SOC reference parameter for each usage tendency group of various vehicles is set; b) identifying a vehicle usage tendency group that matches the driving time, the number of times of driving, and the parking time of the vehicle use tendency classification table; c) changing the existing idle stop entry criteria to the SOC reference parameter of the identified vehicle use incentive group; And d) controlling idle entry based on the changed SOC reference parameter.

Calculating a SOC value at a first start time and an SOC moving average value based on battery SOC information collected for a predetermined period after step d) to derive a long term trend line of the SOC; And changing the SOC reference parameter according to the variation of the trend line if the long term trend line of the SOC is determined to have been changed.

If the long-term trend line of the SOC according to the SOC moving average for a certain period of time is an upward trend after the step d), reducing the existing SOC reference parameter value by 1; Or increasing the existing SOC reference parameter value by 1 if the long term trend line of the SOC is in a downward trend.

The method may further include increasing the SOC reference parameter value set in the vehicle by one if the outside air temperature falls below a predetermined temperature after step d).

According to the embodiment of the present invention, the charging / discharging performance of the battery according to the customer's vehicle usage tendency is inferred, and the idle stop entry limiting condition is variably set to provide the customized idle stop control optimized for the performance of the battery of the customer vehicle, Can be improved.

In addition, it is possible to reduce customer complaints due to performance problems of the battery by transmitting the customer's vehicle usage tendency and the long-term trend information of the vehicle SOC through the display and the customer terminal (app) of the vehicle.

In addition, it is possible to expect the effect of improving the customer satisfaction by providing the personalized idle stop entry setting in cooperation with the cloud server.

1 schematically shows a configuration of an idle stop entry control system according to an embodiment of the present invention.
2 is a block diagram schematically showing a configuration of a server according to an embodiment of the present invention.
FIG. 3 schematically shows an example of a customer's vehicle use tendency classification table according to an embodiment of the present invention.
4 is a graph showing a long-term trend line of a vehicle SOC according to an embodiment of the present invention.
5 is a block diagram schematically showing a configuration of a vehicle according to an embodiment of the present invention.
6 is a flowchart illustrating an idle stop entry control method for a cloud service-based vehicle according to the first embodiment of the present invention.
7 is a flowchart illustrating a method for controlling an idle stop of a vehicle according to a second embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, "" module," and " module ", etc. in the specification mean a unit for processing at least one function or operation and may be implemented by hardware or software or a combination of hardware and software have.

Now, an idle stop entry control system and method according to an embodiment of the present invention will be described in detail with reference to the drawings.

1 schematically shows a configuration of an idle stop entry control system according to an embodiment of the present invention.

1, an idle stop entry control system according to an embodiment of the present invention includes a server 100 for defining an idle stop entry condition for each group according to a usage tendency of a vehicle, And a vehicle 200 for controlling the entry or non-entry of the idle stop according to the battery SOC of the vehicle by setting an idle stop entry condition suitable for the group of usage tendency of the vehicle.

Hereinafter, the idle stop entry condition and the restriction condition are used in the same meaning, and the SOC level set as the entry condition and the restriction condition of the vehicle is determined by the SOC reference parameter which is variably set according to the usage tendency for each vehicle.

The server 100 is a cloud server that interlocks with a vehicle through a wireless communication network and provides services such as operation status of a vehicle, safe driving, traffic information, maintenance, and the like. The server 100 may be configured as a control server of a telematics center, for example.

The server 100 collects and groups the usage tendencies for a plurality of vehicle parking and running through the Big Data, and differentiates the charging and discharging performance of each group battery to generate different SOC reference parameters for each ISG entry condition.

In addition, the server 100 determines the usage tendency of the vehicle according to the customer and transmits the SOC reference parameter of the corresponding customer group to the vehicle 200.

The vehicle 200 may set the customized SOC reference parameter corresponding to the customer group as the ISG entry condition of the battery and control the idle entry according to the battery SOC based on the set SOC reference parameter.

Thereafter, the vehicle 200 can update and reset the SOC reference parameter of the changed group when the customer's tendency to use the vehicle is changed, and control the idle entry accordingly.

2 is a block diagram schematically showing a configuration of a server according to an embodiment of the present invention.

Referring to FIG. 2, a server 100 according to an embodiment of the present invention includes a communication unit 110, an analysis unit 120, a database 130, and a control unit 140.

The communication unit 110 includes a communication interface for wired and wireless communication.

The communication unit 110 collects a plurality of vehicle usage propensities from the big data. Also, the communication unit 110 may collect the vehicle utilization tendency from the designated probe vehicle. For example, the vehicle usage tendency includes information on the operation and pause (parking) of the customer's time / day cycle.

In addition, the communication unit 110 may receive the driving information of the vehicle 200 through the wireless communication network using the telematics (TMS), and may transmit the SOC reference parameter of the corresponding customer group.

The analysis unit 120 analyzes the collected vehicle utilization tendency and classifies (classifies) customers having similar parking usage and driving-related usage tendencies into a plurality of groups through factors such as a customer's driving time, driving frequency, and parking time Vehicle use tendency classification table.

For example, FIG. 3 schematically shows an example of a customer's vehicle use tendency classification table according to an embodiment of the present invention.

Referring to FIG. 3, a vehicle use tendency classification table according to an embodiment of the present invention may be classified into a plurality of categories according to factors such as a vehicle ratio, a number of operations, a running distance, a running time, a pause period, Of the population. However, the numerical values for each factor of the table are omitted, and only the factor values of the group number 3 (running low low) and the group number 9 (low run low) used in the following description are described as an example.

The analysis unit 120 identifies statistical values for each factor in the data on the vehicle use tendency and classifies the data into a plurality of subdivided groups by binning each distribution.

The analysis unit 120 performs a significant group-by-group integration of the subdivided groups through statistical methods such as Kruskal-Wallis test and post-analysis. For example, as shown in FIG. 3, .

The analyzer 120 estimates the charging / discharging performance according to the average SOC of each group in the vehicle use tendency classification table and the SOC level falling down during parking to set the SOC reference parameter for each ISG entry condition.

For example, a comparison between the group number 3 (the running low point) and the group number 9 (the running low point) in the vehicle use tendency classification table can be explained as follows.

In the case of group number 3, which has a low vehicle operation time and a high downtime, since the average SOC is relatively low and the SOC falling in the parking (idle time) is large, the SOC reference parameter value can be set to be relatively high,

On the other hand, since the average SOC is low and the falling SOC is small in the case of the group No. 9 in which the vehicle operation is high and the resting time is low, the SOC reference parameter value is 70, which is relatively low.

For this, the analysis unit 120 may calculate the SOC value of the first start time of each vehicle and the SOC moving average value of the driving according to the vehicle to construct a long-term trend line of the vehicle SOC, and calculate the average SOC of each group based on the SOC.

4 is a graph showing a long-term trend line of a vehicle SOC according to an embodiment of the present invention.

Referring to FIG. 4, in the long term trend line graph of the vehicle SOC, the start time SOC value varies greatly according to the driving / stopping period of the vehicle, and the variation range of the SOC moving average is relatively small. In addition, the SOC minimum management line may be set to a predetermined low value from the SOC moving average line by time.

The analysis unit 120 may calculate the SOC moving average line by collecting the starting SOC value for a certain period of time from the vehicle. However, the present invention is not limited to this, and the SOC moving average line may be generated based on the average SOC during running and the SOC value after 3 minutes after starting according to development characteristics.

The analyzer 120 may derive the SOC moving average using simple moving average (SMA), weighted moving average (WMA), and exponentially weighted moving average (EWMA).

For example, when using the exponentially weighted moving average (EWMA) scheme, the moving average value at each time t can be calculated using the following equation (1).

Where y _t is the moving average value at time _t , x _t is the SOC value at time t, and α is the weight value at time t. The weight value? May be set considering not only the long-term battery SOC of the vehicle but also the surrounding environment that affects SOC such as outside temperature (e.g., -10 degrees or less) and weather.

The analysis unit 120 can estimate the charge / discharge performance of the battery SOC of the vehicle for a certain period (for example, 3 months) by deriving a graph showing the long-term trend line of the vehicle SOC such as rising, falling and stagnation of the battery SOC of the vehicle. Then, the analysis unit 120 may calculate the average SOC for each group based on the long-term trend line of the vehicle SOC.

The database 130 stores programs and data for operating the server 100 according to an embodiment of the present invention and stores SOC reference parameter information for each group generated according to the operation.

The control unit 140 is a central processing unit that controls the overall operation of the server 100 supporting variable control of the idle stop entry condition of the vehicle according to the embodiment of the present invention.

The control unit 140 can set the idle stop entry condition based on the vehicle usage propensity and the vehicle charge / discharge performance by interlocking with wireless communication with the customer's vehicle.

The control unit 140 stores the vehicle registration information for each customer and analyzes the usage tendency of the customer for parking and running.

The control unit 140 identifies the group that matches the customer's usage tendency in the vehicle use tendency classification table generated by the analysis unit 120 and transmits the SOC reference parameter of the group suitable for the customer to set the idle stop entry criterion of the vehicle as variable do.

In addition, the control unit 140 derives a long-term trend line of the vehicle SOC for a predetermined period (e.g., three months) to the customer corresponding to each group through the analysis unit 120, The SOC reference parameter value of the customer vehicle is changed and transmitted to the vehicle 200

That is, the control unit 140 may transmit the SOC reference parameter value of the customer vehicle to the vehicle 200 and control the idle entry according to the battery SOC based on the SOC reference parameter.

Then, when the long term trend line of the vehicle SOC of the customer is determined as the upward trend, the control unit 140 decrements the set SOC reference parameter by 1, while if the long term trend line of the customer's vehicle SOC is determined as the decrease trend, It is possible to increase the SOC reference parameter value by 1 and transmit it to the vehicle 200. If the long-term trend line of the vehicle SOC is stagnant, the current set value is maintained.

For example, when the SOC reference parameter value of the vehicle 200 is set to 80, the long-term trend line is updated down to 79 if the upward trend and the long-term trend line is updated to 81 if the long-term trend line is decreasing trend.

Further, the control unit 140 may change the set SOC reference parameter value to + alpha by further reflecting the surrounding environmental conditions that are unfavorable to the SOC of the battery such as the outside temperature and the weather.

For example, the control unit 140 may increase the SOC reference parameter value by 1 in a severe environmental condition of the outdoor temperature of -10 degrees or less, and transmit it to the vehicle 200

5 is a block diagram schematically showing a configuration of a vehicle according to an embodiment of the present invention.

5, a vehicle 200 according to an embodiment of the present invention includes a vehicle communication unit 210, an operation information detection unit 220, a vehicle analysis unit 230, a storage unit 240, and a vehicle controller 250 ).

The vehicle communication unit 210 communicates with the server 100 via a wireless communication network. For example, the vehicle communication unit 210 can wirelessly communicate with the server 100 through a telematics unit (TMU), and can communicate via a V2X (Vehicle to Everything, V2X) interface for supporting the function of the connected car have.

The operation information detector 220 detects the operation information measured by various sensors according to the driving of the vehicle. For example, the operation information detector 220 may include a GPS, a battery SOC, a time, a temperature, a vehicle speed, a brake pedal operation sensor, an accelerator pedal operation sensor, steering information, an ISG,

The storage unit 240 stores programs and data for idle stop control according to an embodiment of the present invention and stores data generated according to the operation of the vehicle.

The storage unit 240 stores the vehicle use tendency classification table generated by the server 100, the usage tendency group to which the vehicle belongs, and SOC reference parameter values set in the vehicle, and manages the update information.

The vehicle controller 250 controls the overall operation of the vehicle according to an embodiment of the present invention.

The vehicle controller 250 detects information such as travel time, driving frequency, parking time, and the like necessary for analyzing the vehicle use propensity in the server 100 from the operation information detecting unit 220 and transmits the information to the server 100.

The vehicle controller 250 sets the SOC reference parameter received at the server 100 as an idle stop entry condition and controls the ISG function based on the set SOC reference parameter.

That is, the vehicle controller 250 can control the idle stop when the SOC of the battery in the stopped state is equal to or greater than the set SOC reference parameter, and limit the idle stop function if the SOC is below the SOC reference parameter.

On the other hand, the vehicle analysis unit 230 may be configured or omitted in the vehicle according to an embodiment of the present invention, including a calculation algorithm similar to the analysis unit 120 of the server 100 described above.

According to the embodiment of the present invention described above (hereinafter, referred to as the first embodiment), the cloud server 100 grasps the usage tendency of the vehicle, derives the SOC reference parameter of the group corresponding thereto, and provides it to the vehicle 200 Therefore, the vehicle analysis unit 230 can be omitted.

Meanwhile, the vehicle 200 according to the second embodiment of the present invention stores the vehicle use tendency classification table analyzed through the big data in the server 100, and determines the vehicle use tendency through the vehicle analysis unit 230 And the SOC reference parameter can be directly applied by selecting a group that matches the vehicle use tendency classification table.

In addition, the vehicle analyzer 230 can derive a long-term trend line of the vehicle SOC for a certain period of time, which is the same as that described in the previous section, and thus will be omitted.

Also, the vehicle controller 250 may control the ISG function by changing the predetermined SOC reference parameter value according to any one of rising, falling and congestion of the SOC according to the long-term trend line of the vehicle SOC derived from the vehicle analyzing unit 230 .

Meanwhile, the idle stop entry control method according to the first and second embodiments of the present invention will be described with reference to FIGS. 6 and 7. FIG.

6 is a flowchart illustrating an idle stop entry control method for a cloud service-based vehicle according to the first embodiment of the present invention.

Referring to FIG. 6, a method for controlling an idle stop of a vehicle according to a first embodiment of the present invention is described as a process of interlocking between a server 100 and a vehicle 200 in a cloud environment.

The server 100 collects usage tendencies for parking and running of a plurality of vehicles through the big data (S101), and generates a vehicle use tendency classification table divided into a plurality of vehicle use tendency groups (S102).

The server 100 estimates the charging / discharging performance according to the average SOC of each group of the vehicle use tendency classification table and the SOC level of parking (S 103).

The server 100 collects vehicle use information from the vehicle 200 connected by wireless communication (S104). The server 100 may collect information such as travel time, driving frequency, parking time, and the like necessary for analyzing the usage tendency of the vehicle.

The server 100 statistically collects the vehicle use information collected for a predetermined period of time, identifies a group matching the user's tendency to use in the vehicle use tendency classification table (S105), and sets the SOC reference parameter of the group corresponding to the identified customer to the vehicle 200 (S106).

The vehicle 200 changes the existing ISG entry criterion (SOC) to the SOC reference parameter received from the server 100 (S107), and then controls the idle entry based on the changed SOC reference parameter.

Meanwhile, the server 100 collects the SOC information of the battery according to the operation of the vehicle 200 (S108).

The server 100 calculates the SOC value at the first starting time point and the SOC moving average value according to the driving based on the SOC information collected from the vehicle 200 for a certain period of time to derive a long term trend line of the vehicle SOC (S109).

At this time, if the server 100 is in the idle state trend of the long term trend line of the vehicle SOC (S110: NO), the server 100 maintains the previously set SOC reference parameter.

On the other hand, when the server 100 determines that the long-term trend line of the vehicle SOC is changed to the upward or downward trend (S110; Yes), the server 100 generates change information of the existing SOC reference parameter (S111).

At this time, the server 100 decreases the existing SOC reference parameter value according to the upward trend of the long term trend line of the vehicle SOC by 1 or increases the existing SOC reference parameter value according to the upward trend of the long term trend line of the vehicle SOC . In addition, the server 100 may generate update information for increasing or decrementing the existing SOC reference parameter value by 1 in the vehicle 200 as the change information.

The server 100 transmits the change information of the SOC reference parameter to the vehicle 200 (S112), and the vehicle 200 receiving the update information updates the existing SOC reference parameter to reset the change information (S113).

The steps S108 through S113 may be repeated at regular intervals (e.g., three months) to optimize the idle stop function control by variably setting the idle stop entry conditions according to the battery SOC and charge / discharge characteristics of each vehicle.

In addition, when the idle stop of the vehicle is prohibited and when the setting of the SOC reference parameter is changed, the server 100 displays the user's tendency to use the vehicle and the long-term trend of the vehicle SOC on the display of the vehicle 200, Lt; / RTI >

This can reduce customer complaints by notifying the cause of the idle stop limitation of the customer's vehicle and the state of the battery.

7 is a flowchart illustrating a method of controlling an idle stop of a vehicle according to a second embodiment of the present invention.

Referring to FIG. 7, a method for controlling an idle stop of a vehicle according to a second embodiment of the present invention will be described with reference to a vehicle 200 interlocked with the server 100. FIG.

The server 100 collects usage tendencies of various vehicles (S201), generates a vehicle use tendency classification table divided into a plurality of vehicle use tendency groups (S202), and sets SOC reference parameters for each group (S203). This is the same as the first embodiment of FIG.

The vehicle 200 receives and saves the vehicle use tendency classification table in which the SOC reference parameter for each group is set from the server 100 via the wireless communication (S204).

The vehicle 200 statistically calculates usage information such as the running time, the number of driving times, and the parking time of the vehicle for a certain period of time, and identifies a group matching the usage tendency of the customer in the vehicle use tendency classification table (S205).

The vehicle 200 changes the existing ISG entry criterion (SOC) to the SOC reference parameter (S206), and controls the idle entry based on the changed SOC reference parameter.

Thereafter, the vehicle 200 calculates the SOC value of the first start time and the SOC moving average value based on the battery SOC information collected for a certain period of time to derive a long-term trend line of the SOC (S207).

At this time, if the vehicle 200 is in a stagnation tendency in which there is no change in the long-term trend line of the SOC (S208, No), the vehicle 200 maintains the previously set SOC reference parameter value.

On the other hand, if it is determined that the long-term trend line of the SOC is changed to the upward or downward trend (S208; Yes), the vehicle 200 updates the existing SOC reference parameter value by 1 or by 1 (S209) .

At this time, the vehicle 200 can update the existing SOC reference parameter value to increase by 1 by one when the outdoor air temperature is lower than the set reference temperature (e.g., -10 degrees).

As described above, according to the embodiment of the present invention, customized idle stop control optimized for the performance of the battery of the customer vehicle can be provided by varying the idle stop entry limit condition by analogizing the charge / discharge performance of the battery according to the vehicle usage tendency of the customer So that the customer convenience can be improved.

In addition, it is possible to reduce customer complaints due to performance problems of the battery by transmitting the customer's vehicle usage tendency and the long-term trend information of the vehicle SOC through the display and the customer terminal (app) of the vehicle.

In addition, it is possible to expect the effect of improving the customer satisfaction by providing the personalized idle stop entry setting in cooperation with the cloud server.

The embodiments of the present invention are not limited to the above-described apparatuses and / or methods, but may be implemented through a program for realizing functions corresponding to the configuration of the embodiment of the present invention, a recording medium on which the program is recorded And such an embodiment can be easily implemented by those skilled in the art from the description of the embodiments described above.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

100: Server
110:
120:
130: Database
140:
200: vehicle
210:
220: Operation information detector
230: Vehicle Analysis Department
240:
250: vehicle controller

Claims (20)

A server for collecting and grouping a plurality of vehicle usage tendencies and estimating charge / discharge performance of each group battery to generate SOC reference parameters for each group for an idle stop entry condition; And
A vehicle that sets an SOC reference parameter corresponding to a customer's vehicle use tendency group as an idle stop entry condition and controls idle entry according to the battery SOC based on the set SOC reference parameter;
And an idle stop control system. The method according to claim 1,
The server
A communication unit for collecting usage tendencies for a plurality of vehicle parking and running through big data;
An analyzing unit for analyzing the usage tendencies and generating a vehicle use tendency classification table by dividing customers having similar use tendencies into a plurality of groups based on a factor of driving time, driving frequency, and parking time of the vehicle;
A database for storing a vehicle use tendency classification table in which the SOC reference parameter for each group is set; And
A controller for storing the vehicle registration information for each customer and analyzing a usage tendency of the customer for parking and traveling;
And an idle stop control system. 3. The method of claim 2,
The vehicle use tendency classification table
Wherein the at least one parameter includes at least one of a vehicle ratio, a number of running times, a running distance, a running time, a pause period, a startup SOC, an RO ratio, and a SOC reference parameter according to a plurality of usage preference groups. 4. The method according to any one of claims 1 to 3,
The analyzer
An idle stop entry control system in which statistical values for each factor are identified from binned data of vehicle use propensity and classified into a plurality of subdivided groups by binning by distribution. 5. The method of claim 4,
The analyzer
Wherein the grouping of the plurality of subdivided groups is integrated through statistical methods of non-parametric test and post-test. 3. The method of claim 2,
The analyzer
The SOC reference parameter for each group is estimated by estimating the charge / discharge performance according to the average SOC of each group in the vehicle utilization tendency classification table and the degree of SOC falling during parking. 3. The method of claim 2,
The analyzer
An idle stop entry control system for deriving a long term trend line of a vehicle SOC by calculating a SOC value at a vehicle start time and an SOC moving average value according to a driving and calculating an average SOC for each group based on a fraud long term trend line. 8. The method of claim 7,
The analyzer
Wherein the SOC moving average is calculated by a simple moving average method, a weighted moving average method, and an exponentially weighted moving average method. 3. The method of claim 2,
The control unit
When the long term trend line of the vehicle SOC of the customer is determined to be an upward trend for a certain period of time, the SOC reference parameter value set in the vehicle is decreased by 1, and when the long term trend line is determined as the decrease trend, the idle stop entry Control system. 3. The method of claim 2,
The control unit
And increases the SOC reference parameter value set in the vehicle by one if the outside temperature of the winter falls below a predetermined temperature. The method according to claim 1,
The vehicle
A vehicle communication unit for communicating with the server via a wireless communication network;
An operation information detector for detecting operation information measured by various sensors according to the driving of the vehicle;
A storage unit for storing a vehicle utilization tendency classification table generated by the server, a usage tendency group of customers, a SOC reference parameter value set for the vehicle, and a long term trend degree of the vehicle SOC; And
A vehicle controller for detecting a driving time, a driving frequency, and a parking time required for the vehicle utilization tendency analysis through the operation information detection unit and transmitting the detection result to the server;
And an idle stop control system. 12. The method of claim 11,
The vehicle controller
Wherein at least one of the customer's vehicle use propensity, the long-term trend degree of the vehicle SOC, and the changed set SOC reference parameter value is displayed on the display when the idle stop is restricted or the setting of the SOC reference parameter is changed. A method of controlling an idle stop of a server interlocked with a vehicle,
a) collecting a usage tendency of various vehicles to generate a vehicle use tendency classification table divided into a plurality of vehicle use tendency groups;
b) setting the SOC reference parameter for each group for the idle stop entry condition by deducing the charge / discharge performance of the battery for each vehicle use tendency group;
c) identifying a vehicle usage propensity group that matches the vehicle usage information collected from the customer's vehicle; And
d) changing the idle stop entry criterion by transmitting the SOC reference parameter of the identified vehicle use incentive group to the customer's vehicle;
Wherein the idle stop input control method comprises: Subsequent to paragraph 13
The step a)
Identifying statistical values for each factor from the collected data on the vehicle utilization tendency, classifying the statistics into a plurality of subdivided groups by binning each distribution; And
Integrating the groups into which the significance of the plurality of groups has been divided through statistical methods of non-parametric test and post-test
Wherein the idle stop input control method comprises: 14. The method of claim 13,
After the step d)
Calculating a long-term trend line of the vehicle SOC by calculating an SOC value of a vehicle-start time point and a SOC moving average value of the vehicle based on the SOC information collected for a predetermined period in the customer vehicle; And
If it is determined that the long-term trend line of the vehicle SOC is changed, generating the change information of the existing SOC reference parameter
Further comprising the steps of: 16. The method according to claim 13 or 15,
After the step d)
Decreasing the existing SOC reference parameter value by one if the long-term trend line of the vehicle SOC according to the SOC moving average of the customer vehicle is a rising trend; or
If the long-term trend line of the vehicle SOC is in a downward trend, increasing the existing SOC reference parameter value by 1
Wherein the idle stop input control method comprises: A method for controlling an idle stop of a vehicle,
a) receiving and storing a vehicle use tendency classification table in which a SOC reference parameter for each use tendency group of various vehicles is set from a server;
b) identifying a vehicle usage tendency group that matches the driving time, the number of times of driving, and the parking time of the vehicle use tendency classification table;
c) changing the existing idle stop entry criteria to the SOC reference parameter of the identified vehicle use incentive group; And
d) controlling idle entry based on the changed SOC reference parameter
Wherein the idle stop input control method comprises: 18. The method of claim 17,
After the step d)
Calculating a long-term trend line of the SOC by calculating an SOC value at a first start time and a SOC moving average value according to a traveling based on battery SOC information collected for a predetermined period; And
If it is determined that the long term trend line of the SOC has changed, changing the SOC reference parameter according to the change of the trend line
Further comprising the steps of: The method according to claim 17 or 18,
After the step d)
If the long-term trend line of the SOC according to the SOC moving average for a predetermined period is in an upward trend, reducing the existing SOC reference parameter value by one; or
If the long term trend line of the SOC is in a downward trend, increasing the existing SOC reference parameter value by 1
Wherein the idle stop input control method comprises: 20. The method of claim 19,
After the step d)
Further comprising increasing the SOC reference parameter value set in the vehicle by one if the outside air temperature falls below a predetermined temperature.

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