KR20220075134A - Electric vehicle performance evaluation information provision system - Google Patents

Abstract

The present invention relates to an electric vehicle performance evaluation information providing system. The present invention provides an electric vehicle performance evaluation information providing system (1) including an electric vehicle 100, an electric vehicle charging and diagnostic device 200, an OBD module 200a, a network 400, and an electric vehicle performance evaluation server 500, The electric vehicle performance evaluation server 500 extracts history information using the service for electric vehicle charging or electric vehicle performance test in the past according to the initial login by the driver from the database 530, and then, through the network 400, electric vehicle charging and an input screen control module 521 for controlling the transceiver 510 to transmit to the diagnostic device 200 and outputting history information to the touch screen of the electric vehicle charging and diagnostic device 200; and the electric vehicle 100 through Bluetooth communication or CAN communication between the electric vehicle 100 and the electric vehicle terminal inside the electric vehicle 100 by the OBD module (On-Board Diagnosis Module) 200a provided in the electric vehicle charging and diagnosis device 200 ), control the transceiver 510 to receive the diagnostic data from the OBD module 200a through wireless communication through the network 400, and then convert the received diagnostic data to the member ID as metadata. a diagnostic device control module 522 that stores in the raw database 530 and analyzes diagnostic data to evaluate battery performance; It may be characterized in that it includes. Accordingly, in addition to the performance evaluation for the electric vehicle, it relates to an electric vehicle performance evaluation information providing system for providing a charging history and inspection result inquiry function.

Description

Electric vehicle performance evaluation information provision system

The present invention relates to an electric vehicle performance evaluation information providing system, and more particularly, to an electric vehicle performance evaluation information providing system for providing a charging history and inspection result inquiry function in addition to performance evaluation for electric vehicles.

As vehicle fuels, fossil fuels such as petroleum such as diesel and gasoline or natural gas such as LNG and LPG are mainly used. However, in recent years, when fossil fuels are used, an electric vehicle (EV), which uses electricity as an energy source, is attracting attention as an alternative to a fossil fuel vehicle due to a problem in that a large amount of exhaust gas that pollutes the environment is emitted.

As electric vehicles, a battery powered EV, a fuel cell EV using a fuel cell as an electric motor, and a hybrid EV using an electric motor and an engine are being developed. In addition, in order to expand and activate electric vehicles, various studies are being conducted on the construction of electric vehicle charging infrastructure (EV charging infrastructure).

Since an electric vehicle is charged in a plug-in method, maintenance and management of the performance of an electric vehicle battery is emerging as an important issue.

Korean Patent Application No. 10-2015-0017870 (2015.02.05) "Performance measuring system and method for electric vehicle charger" Korean Patent Application No. 10-2019-0079253 (2019.07.02) "Electric Vehicle Motor Performance Analysis System and Method Thereof"

The present invention is to solve the above problems, and to provide an electric vehicle performance evaluation information providing system for providing a charging history and inspection result inquiry function in addition to performance evaluation for electric vehicles.

Another object of the present invention is to provide an electric vehicle performance evaluation information providing system for providing a customer service that can manage not only the charging history according to the use of electric vehicles but also the state of the vehicle in parallel by providing a service so that the inspection service results can also be inquired.

Another object of the present invention is to provide a system for providing electric vehicle performance evaluation information so that electric vehicle inspection results can be utilized for used electric vehicle transaction through inquiry/registration service between linked operators.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, an electric vehicle performance evaluation information providing system according to an embodiment of the present invention includes an electric vehicle 100, an electric vehicle charging and diagnosing device 200, an OBD module 200a, a network 400, and an electric vehicle performance evaluation server. In the electric vehicle performance evaluation information providing system ( 1 ) including 500 , the electric vehicle performance evaluation server 500 is, according to the initial login by the driver, history information using the service for electric vehicle charging or electric vehicle performance test is extracted from the database 530 , the transceiver 510 is controlled to transmit to the electric vehicle charging and diagnosing device 200 through the network 400 , and then history information is output to the touch screen of the electric vehicle charging and diagnosing device 200 . an input screen control module 521 to do so; and the electric vehicle 100 through Bluetooth communication or CAN communication between the electric vehicle terminal and the electric vehicle terminal inside the electric vehicle 100 by the OBD module (On-Board Diagnosis Module) 200a provided in the electric vehicle charging and diagnosis device 200 . ), control the transceiver 510 to receive the diagnostic data from the OBD module 200a through wireless communication through the network 400, and then convert the received diagnostic data to the member ID as metadata. a diagnostic device control module 522 that stores in the raw database 530 and analyzes diagnostic data to evaluate battery performance; It may be characterized in that it includes.

At this time, the input screen control module 521 provides a control signal through the network 400 to output an initial input UI screen on the touch screen of the electric vehicle charging and diagnosis device 200, and then displays the electric vehicle ( 100), when the driver of the electric vehicle charging and performance test performs a login, it may be characterized in that the control unit 510 to receive the member ID and password from the electric vehicle charging and diagnosing device (200).

In addition, the input screen control module 521 controls to output a reception UI screen for receiving an electric vehicle for electric vehicle charging and performance test to the touch screen of the electric vehicle charging and diagnosing device 200 in the case of an initial login by the driver It may be characterized by controlling the transceiver 510 to transmit a command to the electric vehicle charging and diagnosing device 200 through the network 400 .

In addition, the input screen control module 521 receives the contents of the electric vehicle charging and performance test received by the driver of the electric vehicle 100 or the professional diagnostician operating the professional diagnostician terminal 300 by touching the electric vehicle charging and diagnosis machine 200 . When it is input through the screen, the transmission/reception unit 510 is controlled to receive the reception contents from the electric vehicle charging and diagnosis machine 200, and then the reception contents are stored in the database 530 with the member ID as metadata. can

In addition, the received contents include the contents of the electric vehicle (including the manufacturer, model, and mileage), model year confirmation, and image confirmation information (vehicle registration certificate, vehicle identification number, etc., image information captured by the imaging unit provided in the electric vehicle charging and diagnosis machine 200) It may be characterized in that it includes).

The electric vehicle performance evaluation information providing system according to an embodiment of the present invention has an effect of providing a charging history and inspection result inquiry function in addition to performance evaluation for electric vehicles.

In addition, the electric vehicle performance evaluation information providing system according to another embodiment of the present invention provides a service so that the inspection service result can be inquired, so that it is possible to provide a customer service capable of concurrently managing not only the charging history according to the use of the electric vehicle but also the vehicle state. there is an effect

In addition, the electric vehicle performance evaluation information providing system according to another embodiment of the present invention provides an effect of allowing electric vehicle inspection results to be utilized in electric vehicle used trades through inquiry/registration services between linked operators.

1 is a view showing an electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention.
2 is a block diagram illustrating components of an electric vehicle performance evaluation server 500 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention.
3 to 8 are views illustrating a user interface screen implemented as a touch screen of the electric vehicle charging and diagnosing device 200 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention.
9 is a view for explaining the principle of information derivation through big data-based machine learning by the electric vehicle performance evaluation server 500 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention.
10 is a flowchart illustrating a process in which electric vehicle performance evaluation is performed by the electric vehicle performance evaluation information providing system according to an embodiment of the present invention.

Hereinafter, a detailed description of a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, if it is determined that a detailed description of a related well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

In the present specification, when any one component 'transmits' data or signal to another component, the component may directly transmit the data or signal to another component, and through at least one other component This means that data or signals can be transmitted to other components.

1 is a view showing an electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention. Referring to FIG. 1 , the electric vehicle performance evaluation information providing system 1 includes an electric vehicle 100 , an electric vehicle charging and diagnosing device 200 , an OBD module 200a , a professional diagnostician terminal 300 , a network 400 , and an electric vehicle performance evaluation It may include a server 500 , a big data server 600 , and a vehicle used transaction server 700 .

The network 400 is a high-speed backbone network of a large-scale communication network capable of large-capacity, long-distance voice and data services, and may be a next-generation wired or wireless network for providing the Internet or high-speed multimedia services. When the network 400 is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. As an example of the asynchronous mobile communication network, there may be a wideband code division multiple access (WCDMA) type communication network. In this case, although not shown in the drawing, the network 400 may include a Radio Network Controller (RNC). Meanwhile, although the WCDMA network is taken as an example, it may be a 3G LTE network, a 4G network, other next-generation communication networks such as 5G, and other IP-based IP networks. The network 400 includes an electric vehicle charging and diagnostic device 200 formed together with the OBD module 200a, a professional diagnostician terminal 300, an electric vehicle performance evaluation server 500, a big data server 600, and a vehicle used transaction server 700 , it plays a role in transferring signals and data between other systems.

2 is a block diagram illustrating components of an electric vehicle performance evaluation server 500 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention. 3 to 8 are user interface (User Interface, hereinafter, 'UI') screens implemented as a touch screen of the electric vehicle charging and diagnosing device 200 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention. It is a drawing showing 9 is a diagram for explaining the principle of information derivation through big data-based machine learning by the electric vehicle performance evaluation server 500 in the electric vehicle performance evaluation information providing system 1 according to an embodiment of the present invention.

First, referring to FIG. 2 , the electric vehicle performance evaluation server 500 may include a transceiver 510 , a controller 520 , and a database 530 . The control unit 520 includes an input screen control module 521, a diagnostic device control module 522, an expert diagnostic control module 523, an electric and mechanical parts diagnostic module 524, a self-evaluation diagnostic module 525, and a vehicle evaluation score. A provision module 526 may be included.

The input screen control module 521 provides a control signal through the network 400 to output an initial input UI screen on the touch screen of the electric vehicle charging and diagnosis device 200, and then provides an input UI screen of the electric vehicle 100. When the driver logs in for electric vehicle charging and performance test, the transceiver 510 may be controlled to receive a member ID and password from the electric vehicle charging and diagnosis device 200 .

Thereafter, when the input screen control module 521 is the initial login by the driver, a control command to output the reception UI screen for receiving the electric vehicle for electric vehicle charging and performance test to the touch screen of the electric vehicle charging and diagnosis device 200 . The transceiver 510 may be controlled to transmit to the electric vehicle charging and diagnosing device 200 through the network 400 .

Accordingly, the input screen control module 521 inputs the contents received for the electric vehicle charging and performance test by the driver or a professional diagnostician operating the professional diagnostician terminal 300 through the touch screen of the electric vehicle charging and diagnosing device 200 . In this case, after controlling the transceiver 510 to receive the reception contents from the electric vehicle charging and diagnosis device 200 , the reception contents may be stored in the database 530 using the member ID as metadata.

The contents received here include the contents of the electric vehicle (manufacturer, vehicle model, mileage), model year confirmation, and image confirmation (image information captured by the imaging unit provided in the electric vehicle charging and diagnosis machine 200 for vehicle registration card, vehicle identification number, etc.) may be included (see FIG. 6 ).

On the other hand, the input screen control module 521 extracts from the database 530 the history information of using a service for electric vehicle charging or electric vehicle performance test in the past, not the initial login by the driver, and then charges the electric vehicle through the network 400 . And after controlling the transceiver 510 to transmit to the diagnostic device 200, history information can be output to the touch screen of the electric vehicle charging and diagnostic device 200 (refer to FIG. 4).

The diagnostic device control module 522 is configured to perform Bluetooth communication or In addition to obtaining battery voltage, current, and temperature information of the electric vehicle 100 through CAN communication (see FIG. 3 ), when latitude, longitude, and altitude information of the electric vehicle 100 is obtained, the network ( After controlling the transceiver 510 to receive diagnosis data through wireless communication through 400), the received diagnosis data may be stored in the database 530 as metadata as a member ID (refer to FIG. 7).

Accordingly, the diagnostic device control module 522 may derive SOC (States Of Charge) and SOH (States Of Health) information from the diagnostic data through big data-based machine learning as shown in FIG. 9 .

More specifically, the diagnostic device control module 522 may control the transceiver 510 to transmit diagnostic data to the big data server 600 through the network 400 .

Accordingly, the big data server 600 is stored in the database 530 by the input screen control module 521 to the DCS DB by each distributed file program according to the contents of the electric vehicle (manufacturer, vehicle model, mileage) and model year confirmation. It learns the nonlinear relationship to the nodes of multiple hidden layers in the deep neural network that matches the battery voltage, current, temperature information, latitude, longitude, and altitude information of the electric vehicle 100 corresponding to the diagnostic data, which is the distributed and stored collected data, and machine learning. By analyzing through an algorithm, SOC (States Of Charge) and SOH (States Of Health) information can be extracted as an output node. More specifically, the machine learning algorithm used in the analysis/control program may be one of a decision tree (DT) classification algorithm, a random forest classification algorithm, and a support vector machine (SVM) classification algorithm.

That is, the analysis/control program analyzes the collected data distributed and stored in the DCS DB by the distributed file program, extracts a plurality of characteristic information as a result of the analysis, and uses at least one of a plurality of machine learning algorithms for the extracted characteristic information. As a result of learning and learning, SOC (States Of Charge) and SOH (States Of Health) information can be extracted according to each SOC (States Of Charge) and SOH (States Of Health) algorithm.

That is, the analysis/control program can apply an ensemble structure composed of a number of complementary machine learning algorithms to improve the accuracy of the status determination result.

The decision tree classification algorithm learns in a tree structure and derives results, so it is easy to interpret and understand the results, the data processing speed is fast, and rules can be derived based on the search tree. RF can be applied as a method to improve the low classification accuracy of DT. The random forest classification algorithm slaughters the results of learning multiple DTs as an ensemble, and it is difficult to understand the results than DT, but the accuracy of the results may be higher than that of DT. SVM can be applied as a way to improve overfitting that can occur through DT or RF learning. The SVM classification algorithm classifies data belonging to different classifications on a plane-based basis, and generally has high accuracy and may have low sensitivity to structural overfitting.

The big data server 600 performs deep learning by using refined data after machine learning, and in the deep learning method, the cycle time, time) and the maximum time of each information generation time, in a manner that minimizes the reduction of the tact time, it can be performed according to the conversion and application of the deep learning algorithm program to the process parameters of each collected data.

Thereafter, when the big data server 600 provides SOC (States Of Charge) and SOH (States Of Health) information to the diagnostic device control module 522 , the diagnostic device control module 522 transmits the SOC through the network 400 . By controlling the transceiver 510 to transmit (States Of Charge) and SOH (States Of Health) information to the electric vehicle charging and diagnostic device 200 equipped with the OBD module 200a, SOC (States Of Charge), SOH ( States Of Health) information may be output to the touch screen of the electric vehicle charging and diagnosing device 200 .

Meanwhile, in an embodiment of the present invention, the diagnostic device control module 522 divides the basic diagnosis and the standard diagnosis into a basic diagnosis and a standard diagnosis, as shown in FIG. 5A , and provides a mode through the touch screen of the electric vehicle charging and diagnosis device 200, and then the basic diagnosis In the case of FIG. 5B , it is possible to quickly diagnose the vehicle by collecting diagnostic data in a state made by a shorter discharging and charging time compared to the standard diagnosis for the electric vehicle 100 as shown in FIG. 5B .

In addition, according to an embodiment of the present invention, the diagnostic device control module 522 performs in the first test mode for battery pack voltage, chargeable power, and dischargeable power, or performs battery diagnosis, vehicle charge state inspection, and vehicle battery state A second test mode for inspection can be performed.

The expert diagnosis control module 523 is opened and closed (including bonnet, fuel port, trunk opening), external diagnosis (performance Based on the inspection, including checking for car frame accidents), checking for flooding (including checking for corrosion at the bottom of the seat and dashboard, and checking for water stains on seat belts), coating film measurement (checking whether repainting due to an accident), vehicle options (check options for each vehicle class) ), the transceiver 510 may be controlled to receive the check result information for each expert diagnosis component by item from the expert diagnostician terminal 300 through the network 400 .

The expert diagnosis control module 523 may store the check result information for each item for each expert diagnosis component as the member ID as metadata in the database 540 .

The electric and mechanical parts diagnosis module 524 is self-diagnosed (checking whether the vehicle electronic control device is faulty), lift diagnosis (sealing and fastening of the lower part of the battery) for the electric vehicle 100 by a professional diagnostician who operates the professional diagnostician terminal 300 , welding, etc.) may be controlled by the transceiver 510 so as to receive the information on the result of checking the electric length and machine parts from the professional diagnostician terminal 300 through the network 400 .

The electric field and machine parts diagnosis module 524 may store each electric field and machine parts check result information as metadata in the database 540 as a member ID.

The self-evaluation diagnosis module 525 controls the transceiver 510 to transmit a control signal through the network 400 so as to output the self-evaluation UI screen on the touch screen of the electric vehicle charging and diagnosis device 200, and then the electric vehicle ( When the driver of the electric vehicle 100 enters the result of an accident, exchange, usage history, and all other diagnostic items from the driver of the electric vehicle 100 on the touch screen of the electric vehicle charging and diagnosis device 200, the network 400 determines whether there is an accident or not. The transceiver 510 may be controlled to receive customer description information including exchange, usage history, and all other diagnostic item result information.

Thereafter, the self-evaluation diagnosis module 525 may store the customer description information as the member ID as metadata in the database 530 .

The vehicle evaluation score providing module 526 provides each “diagnosis grade” corresponding to the SOC (States Of Charge) and SOH (States Of Health) information as shown in FIG. 8 stored in the database 530 by the diagnostic device control module 522 . Component information of", opening and closing each part (including bonnet, fuel port, trunk opening), which is each expert diagnosis component constituting the check result information for each item stored in the database 530 by the expert diagnosis control module 523; External diagnosis (including checking for car frame accidents based on performance check), checking for flooding (including checking for corrosion on the lower part of the seat and dashboard, checking for water stains on seat belts), coating film measurement (checking whether repainting due to an accident), vehicle options ( "Component information of expert diagnosis confirmation result" corresponding to vehicle class-specific option confirmation), self-diagnosis ( Database (by the self-evaluation diagnostic module 525), “component information of electric length and mechanical parts confirmation results” corresponding to confirmation of vehicle electronic control system failure), lift diagnosis (including sealing, fastening, and welding of the lower part of the battery) 530), weight information set for each component information with respect to "component information of customer description" corresponding to the presence or absence of an accident, exchange, use history, and all other diagnostic item results of the electric vehicle 100 constituting the customer description information stored in the After performing a multiplication operation, the calculated results are summed up, and the summed quantitative values are divided into first to nth steps (n is a natural number equal to or greater than 2) to generate a vehicle evaluation score.

The vehicle evaluation score providing module 526 includes the generated “vehicle evaluation score” and “member ID” and the contents of the electric vehicle (manufacturer, vehicle model, The transmission/reception unit 700 may be controlled to transmit the mileage), the model year confirmation, and the image confirmation information (vehicle registration card, vehicle identification number, etc.) to the vehicle used transaction server 700 through the network 400 .

10 is a flowchart illustrating a process in which electric vehicle performance evaluation is performed by the electric vehicle performance evaluation information providing system according to an embodiment of the present invention. Referring to FIG. 10 , input screen providing step (S110), battery diagnosis providing step (S120), expert diagnosis providing step (S130), electric and mechanical parts diagnosis providing step (S140), self-evaluation providing step (S150), and vehicle When the evaluation score providing step (S160) is performed, each step (S110 to S160) includes the input screen control module 521, the diagnosis device control module 522, and the expert diagnosis control module 523 of the electric vehicle performance evaluation server 500 described above. ), the electric and mechanical parts diagnosis module 524, the self-evaluation diagnosis module 525, and the vehicle evaluation score providing module 526 are the same as the contents, so a detailed description thereof will be omitted.

The present invention can also be implemented as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. also includes

In addition, the computer-readable recording medium is distributed in network-connected computer systems, and computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention pertains.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present invention and to help the understanding of the present invention. , it is not intended to limit the scope of the present invention. It will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications based on the technical spirit of the present invention can be implemented in addition to the embodiments disclosed herein.

1: Electric vehicle performance evaluation information provision system
100: electric vehicle
200: electric vehicle charging and diagnosis device
200a: OBD module
300: professional diagnostician terminal
400: network
500: electric vehicle performance evaluation server
510: transceiver
520: control unit
521: input screen control module
522: diagnostic device control module
523: expert diagnosis control module
524: diagnostic module for electric and mechanical parts
525: self-evaluation diagnostic module
526: vehicle evaluation score providing module
530: database
600: big data server
700: vehicle used transaction server

Claims (5)

In the electric vehicle performance evaluation information providing system (1) including an electric vehicle 100, electric vehicle charging and diagnosis device 200, OBD module 200a, network 400, and electric vehicle performance evaluation server 500, electric vehicle performance evaluation server (500) is,
According to the initial login by the driver, history information using the service for electric vehicle charging or electric vehicle performance test is extracted from the database 530 and then transmitted to the electric vehicle charging and diagnosis device 200 through the network 400. an input screen control module 521 for controlling the 510 and outputting history information to the touch screen of the electric vehicle charging and diagnosing device 200; and
The electric vehicle 100 through Bluetooth communication or CAN communication with the electric vehicle terminal inside the electric vehicle 100 by the OBD module (On-Board Diagnosis Module) 200a provided in the electric vehicle charging and diagnosis device 200 When the battery diagnosis data of a diagnostic device control module 522 that stores in the database 530 and analyzes diagnostic data to evaluate battery performance; Electric vehicle performance evaluation information providing system, characterized in that it comprises a. The method according to claim 1, The input screen control module 521,
After providing a control signal through the network 400 to output an initial input UI screen on the touch screen of the electric vehicle charging and diagnosis device 200, the driver of the electric vehicle 100 performs electric vehicle charging and performance testing with the input UI screen When logging in for the electric vehicle, the electric vehicle performance evaluation information providing system, characterized in that controlling the transceiver (510) to receive the member ID and password from the electric vehicle charging and diagnosis device (200). The method according to claim 2, The input screen control module 521,
In the case of an initial login by the driver, a control command to output the reception UI screen for receiving an electric vehicle for electric vehicle charging and performance test to the touch screen of the electric vehicle charging and diagnosis device 200 is transmitted through the network 400 to charge and An electric vehicle performance evaluation information providing system, characterized in that the transmission/reception unit (510) is controlled to be transmitted to the diagnostic device (200). The method according to claim 3, The input screen control module 521,
When the contents of the electric vehicle charging and performance test are received by the driver of the electric vehicle 100 or the professional diagnostician operating the terminal 300 of the electric vehicle 100 through the touch screen of the electric vehicle charging and diagnosis device 200, the electric vehicle charging and diagnosis machine Electric vehicle performance evaluation information providing system, characterized in that after controlling the transceiver (510) to receive the contents of the reception from (200), and then storing the contents of the reception as metadata in the database (530). 5. The method of claim 4,
The details of the electric vehicle (including manufacturer, model, and mileage), year of confirmation, and image confirmation (including image information taken by the recording unit provided in the electric vehicle charging and diagnosis machine 200 for vehicle registration certificate, vehicle identification number, etc.) Electric vehicle performance evaluation information providing system, characterized in that it comprises a.

Images