KR20240050694A - Control method and system of charging an electric vehicle - Google Patents

Abstract

The present invention includes the steps of acquiring identification information of the charger while the charging controller (EVCC, Electric Vehicle Communication Controller) of the electric vehicle is connected to the charger side controller (SECC, Supply Equipment Communication Controller) of the charger, under the control of the charge controller. Charging the electric vehicle by receiving power from the charger, the charging controller acquiring charging environment information from the charger side controller, and the charging controller controlling charging of the electric vehicle by reflecting the charging environment information. According to the present invention, an electric vehicle charging control method including the step of taking high-capacity charging into consideration, enables efficient charging taking noise into account.

Description

Electric vehicle charging control method and control system {CONTROL METHOD AND SYSTEM OF CHARGING AN ELECTRIC VEHICLE}

The present invention relates to a method and system for controlling charging by considering the influence of charger operation when charging an electric vehicle.

The operation of the charger may be affected during the electric vehicle charging process. For example, excessive noise may occur due to the relay contact situation of the charger, the power conversion control process inside the charger, or the output of high-capacity charging current.

In other words, the communication process between an electric vehicle and a charger is affected by signal interference between vehicles and noise from the charger.

However, currently, high-capacity charging of 1 MW or more (1,000 to 3,000 A), which exceeds the charging capacity of 200 KW to 400 KW (200 A to 400 A), is emerging.

If high-capacity charging is introduced, it is expected that not only will the charging current between the simple charger and vehicle increase, but the charging environment will worsen due to high-capacity power management on the infrastructure side.

Therefore, it is required to improve charging robustness by introducing a charging control method in terms of noise consideration.

The matters described in the above background technology are intended to aid understanding of the background of the invention, and may include matters that are not prior art already known to those skilled in the art in the field to which this technology belongs.

Korean Patent Publication No. 10-2021-0121842

The present invention was created to solve the above-mentioned problems, and the purpose of the present invention is to provide an electric vehicle charging control method and control system for efficient charging considering high capacity charging and noise.

The electric vehicle charging control method according to one aspect of the present invention acquires identification information of the charger while the electric vehicle charging controller (EVCC, Electric Vehicle Communication Controller) is connected to the charger side controller (SECC, Supply Equipment Communication Controller) of the charger. A step of charging the electric vehicle by receiving power from the charger under the control of the charge controller, a step of the charge controller acquiring charging environment information from the charger side controller, and the charge controller acquiring charging environment information from the charger side controller. It includes the step of controlling charging of the electric vehicle by reflecting the information.

Here, the step of controlling charging of the electric vehicle includes the charging controller transmitting the charging environment information to the server, the charging controller receiving learning results using the charging environment information from the server, and the charging controller includes controlling charging of the electric vehicle according to a learning result of the charging environment information.

In addition, the identification information of the charger is characterized in that it includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.

Additionally, the charging environment information includes noise intensity for each channel (frequency), noise intensity for each sequence, and sequence information for the noise environment.

And, it further includes the step of learning the charging environment information after acquiring the charging environment information, wherein the step of learning the charging environment information includes acquiring the intensity of noise for each frequency, and the intensity of the noise for each frequency is specified. If it is above the threshold, specifying the generation time, extinction time, and duration of the frequency-specific noise, and charging parameters for charging control considering the generation time, extinction time, and duration of the frequency-specific noise. It includes the step of setting (parameters).

Furthermore, when the duration of the noise for each frequency is longer than a certain time, the signal strength of the electric vehicle is increased to improve the SNR (Signal to Noise Ratio).

Alternatively, it further includes the step of learning the charging environment information after acquiring the charging environment information, wherein the step of learning the charging environment information includes comparing the intensity of noise for each frequency, comparing the intensity of noise for each frequency. As a result, it includes the step of setting charging parameters for charging control through a frequency with relatively low noise.

Furthermore, the step of learning the charging environment information includes calculating the total power density of the entire frequency range, and when the power density is below the threshold, the electric vehicle side so that the power density exceeds the threshold. It further includes the step of upwardly controlling the output intensity of.

Meanwhile, after acquiring the identification information of the charger, it further includes receiving a LOOKUP table from the server considering charger environment information including climate information and charging facility information, and controlling charging of the electric vehicle. The step is characterized in that charging is controlled based on the lookup table.

And, after controlling charging of the electric vehicle, acquiring current charger environment information of the electric vehicle, comparing the current charger environment information with the lookup table, and comparing the current charger environment information with the lookup table. The method may further include maintaining the current lookup table if they are the same, and updating the lookup table if the current charger environment information and the lookup table are different.

Next, the electric vehicle charging control method according to another aspect of the present invention identifies the charger while the electric vehicle charging controller (EVCC, Electric Vehicle Communication Controller) is connected to the charger side controller (SECC, Supply Equipment Communication Controller) of the charger. acquiring information, the charging controller receiving charging control parameters reflecting charging environment information of the charger stored in the server from a server, and the charging controller charging the electric vehicle according to the charging control parameters. Includes control steps.

In addition, the identification information of the charger is characterized in that it includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.

Here, the charging environment information is characterized by including noise intensity by channel (by frequency), noise intensity by sequence, and sequence information about the noise environment.

In addition, the step of controlling the charging of the electric vehicle includes acquiring the intensity of the noise for each frequency, and when the intensity of the noise for each frequency is greater than a certain threshold, the time of occurrence and extinction of the noise for each frequency, and the noise for each frequency. It includes a step of specifying the duration of the noise and a step of controlling charging considering the generation time, extinction time, and duration of the noise for each frequency.

Furthermore, when the duration of the noise for each frequency is longer than a certain time, the signal strength of the electric vehicle is increased to improve the SNR (Signal to Noise Ratio) for control.

And, the step of controlling charging of the electric vehicle includes comparing the intensity of noise for each frequency, and controlling charging through a frequency with relatively low noise as a result of comparing the intensity of noise for each frequency.

Alternatively, the step of controlling the charging of the electric vehicle may include calculating the total power density of the entire frequency range and, if the power density is below the threshold, the electric vehicle side so that the power density exceeds the threshold. It further includes the step of upwardly controlling the output intensity of.

Next, the electric vehicle charging control system according to one aspect of the present invention includes a charger side controller (SECC, Supply Equipment Communication Controller) of a charger for charging an electric vehicle, identification information of the charger in a state connected to the charger side controller, and the charger. An electric vehicle charging controller (EVCC, Electric Vehicle Communication Controller) that acquires charging environment information of the side controller and controls charging of the electric vehicle by reflecting the charging environment information, and transmits the charging environment information through wireless communication with the charging controller. It includes a server that receives, stores, and creates a DB (Database), calculates charging control parameters from the charging environment information, and provides them to the charging controller.

In addition, the identification information of the charger is characterized in that it includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.

Additionally, the charging environment information includes noise intensity for each channel (frequency), noise intensity for each sequence, and sequence information for the noise environment.

The present invention can fundamentally improve charging communication delay and interruption problems by predicting excessive noise in charging communication situations due to increased electric charging capacity.

In addition, control can be precisely advanced through real-time direct control of vehicle charging through the server.

In addition, customized electric charging control using information acquired from individual chargers is possible, and charging stability can be secured by considering environmental information of individual chargers.

Figure 1 is a schematic diagram for explaining the electric vehicle charging control method of the present invention.
Figure 2 is a schematic diagram of the electric vehicle charging control system of the present invention.
Figure 3 shows an example of each sequence of electric vehicle charging.
Figure 4 is an example of channel (frequency) control according to the present invention.
Figure 5 is an example of output intensity (power) control according to the present invention.
Figure 6 illustrates a method for managing charger environmental characteristic information according to the present invention.

In order to fully understand the present invention, its operational advantages, and the objectives achieved by practicing the present invention, reference should be made to the accompanying drawings illustrating preferred embodiments of the present invention and the contents described in the accompanying drawings.

In describing preferred embodiments of the present invention, known techniques or repetitive descriptions that may unnecessarily obscure the gist of the present invention will be reduced or omitted.

Figure 1 is a schematic diagram for explaining the electric vehicle charging control method of the present invention, and Figure 2 is a schematic diagram of the electric vehicle charging control system of the present invention.

Hereinafter, an electric vehicle charging control method and control system according to an embodiment of the present invention will be described with reference to FIGS. 1 and 2.

The present invention is an electric vehicle charging control method that enables efficient charging taking noise into account, taking high-capacity charging into consideration.

To this end, the present invention learns the noise generation characteristics (specific occurrence point during the charging sequence, electric field strength, etc.) in the common inlet one-port charging situation for passenger vehicles or the two-inlet charging situation for commercial vehicles, and based on the learned contents, the vehicle A method for controlling the charging sequence is proposed.

In other words, a specific charger is identified through the charger's MAC address, the characteristics and information of the charger are transmitted to the server, and the vehicle receives specific parameters that determine the real-time control or charging sequence of the vehicle charging controller by the server and uses the corresponding parameters. The charging controller reflects the charging control, enabling stable and robust communication control against the variable noise effects of various chargers on the vehicle. Additionally, in order for the vehicle to learn about the charger without connecting to the server, a "learning mode" is implemented to attempt initial charging to identify noise-causing characteristics of the charger and reflect them in charging control during the next charging attempt. Information about the charger is stored inside the controller and later transmitted to the server to enable cumulative learning on the server.

For this electric charging environment, environmental information is acquired through learning mode, and such information is used for sequence control, output intensity control, etc. to directly control electric vehicle charging from the server or to control electric charging by receiving control parameters from the server. Implement.

More specifically, the charging control system of the present invention consists of a charging controller (110, EVCC, Electric Vehicle Communication Controller), a charger side controller (120, SECC, Supply Equipment Communication Controller), and a server (130) provided in an electric vehicle.

The vehicle charging controller 110 is controlled by the main control unit 113 (MCU, Main Control Unit), and the vehicle charging controller 110 and the charger side controller 120 are connected through the current sensor 111 and the frequency filter 112. The transceiver 114 acquires the characteristics of the electric field flowing from the communicating CP (Control Pilot) line, and functions as an antenna for wireless communication with the server 130.

The server 130 calculates the electric charging environment information, reflects the charging control parameters within the vehicle, creates a database of environmental information acquired from the vehicle, and searches and identifies previously learned environmental information of the charger.

Looking at the charging control method of the present invention sequentially with reference to FIG. 1, the charging controller (EVCC) of a specific electric vehicle A acquires the identification information of the charger while connected to the charger side controller (SECC) of charger A (S11). .

The identification information of the charger includes the MAC (media access control) address of the charger's SECC and the charger's GPS location information (indirectly obtaining charger location information through the vehicle's GPS information during charging).

Then, the vehicle is initially charged at a random charger (charger A) (S12). Alternatively, proceed with a separate “Charging Learning Mode” defined for the vehicle.

Then, charging environment information is acquired from the charger side controller (120, SECC) (S13).

Charging environment information includes noise intensity by channel (by frequency), noise intensity by sequence, and sequence information about the noise environment.

Then, the vehicle can directly control vehicle charging by reflecting the charging environment information obtained in S13 (S14-1).

Alternatively, vehicle charging can be controlled by transmitting charging environment information from the vehicle to the server 130 and then transmitting the calculation result (learning result) of the server 130 to the vehicle (S14-2).

The charging controller 110 of vehicle A transmits charging environment information to the server 130 (S15), and the server 130 calculates and databases the charging environment information (S16).

Meanwhile, when any vehicle B attempts to charge with a specific charger (charger A) for which information has already been acquired, after identifying the vehicle's charger (GPS location information & MAC address) (S17), the stored charging environment information is received from the server 130. Charging control parameters are transmitted to the vehicle (S18). Alternatively, charging control of the vehicle can be performed directly from the server 130.

Figure 3 shows an example of an electric vehicle charging sequence, Figure 4 shows an example of channel (frequency) control according to the present invention, and Figure 5 shows an example of output intensity (power) control according to the present invention.

3 to 5 show examples of charging environment information at S13 and below, and a vehicle charging control method that reflects this charging environment information.

Figure 3 shows sequence control (time), in which charging proceeds according to the electric charging protocol.

The electric field intensity at a specific point in time at a specific stage (SLAC, SupportedAppProtocol, CableCheck) is acquired through the current sensor 111, and the intensity of noise for each frequency is acquired through filter analysis using the frequency filter 112.

The start and end of noise generation and the duration of noise generation can be specified in the time domain, and the noise intensity according to frequency can also be determined by analyzing the frequency of the noise at a specific point in time.

The server 130 calculates, determines, and stores environmental information such as electric field strength above a certain threshold. Based on this learning information, charging control on the vehicle side is possible by avoiding specific noise occurrence points. If noise continues or the noise duration is significant, the signal strength on the vehicle side is increased to improve SNR (Signal to Noise Ratio). Control it.

This information acquisition and calculation can be performed within the vehicle or on a server.

Figure 4 shows channel control (frequency). As a result of analyzing channel environment information, the vehicle-side communication channel can be selected according to the advantages and disadvantages of the channel.

In other words, control is performed to avoid channels with excessive noise and select channels with good noise environments, and when the channel environment changes as the sequence progresses, the vehicle-side communication channel is changed/controlled.

As shown, channels #1 to #3 with good channel noise environment are selected and used as communication channels of the charge controller 110.

Next, Figure 5 shows output intensity (power) control, where the vehicle-side output intensity is controlled upward when the noise environment is poor.

In other words, when transmitting from the vehicle using a relatively good specific band, the total power density in the entire communication frequency range (2 to 28 MHz) of the vehicle output is controlled to be maintained above a certain level. do.

When the power density falls below the threshold, it is impossible to detect the charge controller 110 on the charger side, so it is applied to output compensation channel control to improve this problem. In other words, the overall output shortfall due to using only a specific band is applied through output compensation control.

Meanwhile, the parameters for charging control divide the charging sequence into stages as shown in the example in Table 1 and define the event time based on the start time and completion time of a specific flag for each sequence.

For example, the time of an event situation can be specified based on the occurrence or disappearance of a specific sequence of specific charging stages.

The environmental characteristics are external noise characteristics including the charger, and the control characteristics are control elements considering the environmental characteristics. Noise time avoidance, output intensity control, etc. are parameterized and transmitted from the server 130 to the vehicle or based on the information to the server (103). ) directly controls the charging of the vehicle.

charging stage division #One #2 #... #... SLAC standard A flag=1 B flag=1 environmental characteristics When noise occurs 00ms Noise maintenance time 00ms noise intensity 00dBm control characteristics output channel #00 band control time 00ms Output intensity 00dBm ServiceSetup standard C flag=1 D flag=1 environmental characteristics When noise occurs 00ms Noise maintenance time 00ms noise intensity 00dBm control characteristics output channel #00 band control time 00ms Output intensity 00dBm ServiceDiscovery standard E flag=1 F flag=1 environmental characteristics When noise occurs 00ms Noise maintenance time 00ms noise intensity 00dBm control characteristics output channel #00 band control time 00ms Output intensity 00dBm ... ...

Next, FIG. 6 illustrates a method of managing the charging environment characteristics described above in the server 130.

The environmental characteristics of the charger acquired from the vehicle are databased and managed on the server. The environmental characteristics of the charger can be largely classified depending on the climate and the situation of the charging facility, and the factors that can affect each are summarized in the table below.

division factor climate temperature humidity Precipitation or not charging equipment parts aging Part replacement change logic Charging coupler wire length

The vehicle identifies the charger based on MAC addresses and GPS information (S21) and requests the server's LOOKUP table considering the current climate information (S22).

Then, charging control is performed based on the LOOKUP table (S23) confirmed in the server 130 (S24).

During the charging process, the vehicle acquires current environmental information (S25), transmits it to the server, and charging ends (S26).

The server compares the current environment information acquired in S25 with the current LOOKUP confirmed in S23 (S31), and if they are the same, the current LOOKUP is maintained (S35).

If there is a mismatch, it is stored and counted (S33), and it is determined whether the number of mismatches continuously exceeds a certain number (S34). If so, the LOOKUP table classified according to each charger and weather condition is updated (S36).

The environmental information of the server 130 can be updated according to the judgment criteria set by S31 or updated periodically based on a certain period of time.

Although the present invention as described above has been described with reference to the illustrative drawings, it is not limited to the described embodiments, and it is common knowledge in the field of this technology that various modifications and changes can be made without departing from the spirit and scope of the present invention. It is self-evident to those who have. Accordingly, such modifications or variations should be considered to fall within the scope of the patent claims of the present invention, and the scope of rights of the present invention should be interpreted based on the appended claims.

S11: Acquire charger identification information
S12: Vehicle charging progress
S13: Acquire charging environment information
S14-1: Direct control of vehicle charging
S14-2: Vehicle charging control reflecting server calculation results
S15: Transfer of charging environment information
S16: Calculate and store charging environment information
S17: Charger identification
S18: Transfer of charging control parameters
110: charging controller
120: charger
130: server

Claims (20)

Obtaining identification information of the charger while the electric vehicle charging controller (EVCC, Electric Vehicle Communication Controller) is connected to the charger side controller (SECC, Supply Equipment Communication Controller) of the charger;
charging the electric vehicle by receiving power from the charger under control of the charging controller;
The charging controller acquiring charging environment information from the charger side controller; and
Comprising the step of the charging controller controlling charging of the electric vehicle by reflecting the charging environment information,
Electric vehicle charging control method. In claim 1,
The step of controlling charging of the electric vehicle is,
The charging controller transmitting the charging environment information to a server;
The charging controller receiving a learning result using the charging environment information from the server; and
Comprising the step of the charging controller controlling charging of the electric vehicle according to a learning result of the charging environment information,
Electric vehicle charging control method. In claim 1,
Characterized in that the identification information of the charger includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.
Electric vehicle charging control method. In claim 3,
The charging environment information includes noise intensity by channel (by frequency), noise intensity by sequence, and sequence information about the noise environment.
Electric vehicle charging control method. In claim 4,
Further comprising the step of learning the charging environment information after acquiring the charging environment information,
The step of learning the charging environment information is,
Acquiring the intensity of noise for each frequency;
When the intensity of the noise for each frequency is greater than a certain threshold, specifying the generation time, extinction time, and duration of the noise for each frequency; and
Comprising the step of setting charging parameters for charging control in consideration of the occurrence time, extinction time, and duration of the noise for each frequency.
Electric vehicle charging control method. In claim 5,
When the duration of the noise for each frequency is longer than a certain time, the signal strength on the electric vehicle side is output increased and the SNR (Signal to Noise Ratio) is improved and controlled.
Electric vehicle charging control method. In claim 4,
Further comprising the step of learning the charging environment information after acquiring the charging environment information,
The step of learning the charging environment information is,
Comparing the intensity of noise for each frequency;
As a result of comparing the intensity of noise for each frequency, setting a charging parameter for charging control through a frequency with relatively low noise,
Electric vehicle charging control method. In claim 7,
The step of learning the charging environment information is,
Calculating total power density in the entire frequency range; and
When the power density is below the threshold, further comprising controlling the output intensity of the electric vehicle upward so that the power density exceeds the threshold.
Electric vehicle charging control method. In claim 4,
After acquiring the identification information of the charger, it further includes receiving a LOOKUP table from the server considering charger environmental information including climate information and charging facility information,
The step of controlling charging of the electric vehicle is characterized in that charging is controlled based on the lookup table.
Electric vehicle charging control method. In claim 9,
After controlling charging of the electric vehicle, acquiring current charger environment information of the electric vehicle;
Comparing the current charger environment information and the lookup table;
maintaining the current lookup table if the current charger environment information and the lookup table are the same; and
Further comprising updating the lookup table if the current charger environment information and the lookup table are different,
Electric vehicle charging control method. Obtaining identification information of the charger while the electric vehicle charging controller (EVCC, Electric Vehicle Communication Controller) is connected to the charger side controller (SECC, Supply Equipment Communication Controller) of the charger;
The charging controller receiving charging control parameters reflecting charging environment information of the charger stored in the server from a server;
Comprising the step of the charging controller controlling charging of the electric vehicle according to the charging control parameter,
Electric vehicle charging control method. In claim 11,
Characterized in that the identification information of the charger includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.
Electric vehicle charging control method. In claim 12,
The charging environment information includes noise intensity by channel (by frequency), noise intensity by sequence, and sequence information about the noise environment.
Electric vehicle charging control method. In claim 13,
The step of controlling charging of the electric vehicle is,
Acquiring the intensity of noise for each frequency;
When the intensity of the noise for each frequency is greater than a certain threshold, specifying the generation time, extinction time, and duration of the noise for each frequency; and
Comprising the step of controlling charging considering the occurrence time, extinction time, and duration of the noise for each frequency,
Electric vehicle charging control method. In claim 14,
When the duration of the noise for each frequency is longer than a certain time, the signal strength on the electric vehicle side is output increased and the SNR (Signal to Noise Ratio) is improved and controlled.
Electric vehicle charging control method. In claim 13,
The step of controlling charging of the electric vehicle is,
Comparing the intensity of noise for each frequency;
As a result of comparing the intensity of noise for each frequency, controlling charging through a frequency with relatively low noise,
Electric vehicle charging control method. In claim 15,
The step of controlling charging of the electric vehicle is,
Calculating total power density in the entire frequency range; and
When the power density is below the threshold, further comprising controlling the output intensity of the electric vehicle upward so that the power density exceeds the threshold.
Electric vehicle charging control method. Charger side controller (SECC, Supply Equipment Communication Controller) of the charger for charging electric vehicles;
An electric vehicle charging controller (EVCC, Electric Vehicle Communication) that acquires identification information of the charger and charging environment information of the charger-side controller while connected to the charger-side controller, and controls charging of the electric vehicle by reflecting the charging environment information. Controller); and
Comprising a server that receives, stores, and creates a database (DB) of the charging environment information through wireless communication with the charging controller, calculates charging control parameters from the charging environment information, and provides the charging control parameters to the charging controller,
Electric vehicle charging control system. In claim 18,
Characterized in that the identification information of the charger includes MAC (media access control) address information and GPS (Global Positioning System) information of the charger.
Electric vehicle charging control system. In claim 19,
The charging environment information includes noise intensity by channel (by frequency), noise intensity by sequence, and sequence information about the noise environment.
Electric vehicle charging control system.

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