US-20260124946-A1 - DEVICE AND METHOD FOR SCHEDULING CHARGING AND DISCHARGING OF ELECTRIC VEHICLE

US20260124946A1US 20260124946 A1US20260124946 A1US 20260124946A1US-20260124946-A1

Abstract

A device for scheduling charging and discharging of an electric vehicle is provided. The device includes one or more processors, and a memory configured to store one or more programs executed by the one or more processors. The processor is configured to calculate a first charging and discharging schedule so that a state of charge (SOC) at a time point when the electric vehicle exits is higher than or equal to a target SOC according to electric vehicle information, and calculate a second charging and discharging schedule for participation in an electric power market according to contracted power capacity data received from a demand management business operator server based on the first charging and discharging schedule.

Inventors

Jeong Hoon Choi
Hyun Sup Kim
Min Kyu Lee
Jae Yun JUNG
Na Yeon Park
Dae Gun Ko
Hye Seung Han
Sung Kyu Kim
Bum Su Park

Assignees

HYUNDAI MOTOR COMPANY
KIA CORPORATION

Dates

Publication Date: 20260507
Application Date: 20250508
Priority Date: 20241101

Claims (20)

1 . An electrical vehicle control device for scheduling charging and discharging of an electric vehicle, comprising: a memory storing computer-executable instructions; and at least one processor configured to access the memory and execute the instructions, wherein the instructions comprise: generating, via the processor, a first charging and discharging schedule, wherein a state of charge (SOC) at a time point when the electric vehicle exits is higher than or equal to a target SOC according to electric vehicle information; generating, via the processor, a second charging and discharging schedule for participation of the electric vehicle in an electric power market according to contracted power capacity data received from a demand management business operator server based on the first charging and discharging schedule; and charging the electric vehicle based on the first charging and discharging schedule or the second charging or discharging schedule.
2 . The electrical vehicle control device of claim 1 , wherein the electric vehicle information includes plug-in charger information, a current SOC, a target SOC, resource type information, battery capacity information, battery charging and discharging efficiency, and scheduled vehicle entry time and scheduled vehicle exit time information.
3 . The electrical vehicle control device of claim 2 , wherein the instructions further comprise calculating, via the processor, maximum hourly charging and discharging energy using output power included in the plug-in charger information and the scheduled vehicle entry time and the scheduled vehicle exit time.
4 . The electrical vehicle control device of claim 2 , wherein the instructions further comprise calculating, via the processor, the first charging and discharging schedule using the current SOC, the battery capacity information, and the target SOC of the electric vehicle.
5 . The electrical vehicle control device of claim 2 , wherein the instructions further comprise adjusting, via the processor, the SOC of the electric vehicle to be within a preset battery usage range and sets the first charging and discharging schedule.
6 . The electrical vehicle control device of claim 2 , wherein the instructions further comprise summing, via the processor, plug-in times from a plurality of scheduled vehicle entry times to a plurality of scheduled vehicle exit times, and calculating the first charging and discharging schedule and the second charging and discharging schedule according to the summed plug-in times.
7 . The electrical vehicle control device of claim 1 , wherein the instructions further comprise calculating, via the processor, the second charging and discharging schedule to comply with hourly contracted power capacity.
8 . The electrical vehicle control device of claim 7 , wherein the second charging and discharging schedule includes a schedule of charging power and discharging power.
9 . The electrical vehicle control device of claim 8 , wherein the instructions further comprise calculating, via the processor, the second charging and discharging schedule wherein a total of charging efficiencies is equal to a total of discharging efficiencies.
10 . The electrical vehicle control device of claim 2 , wherein the instructions further comprise calculating, via the processor, the first charging and discharging schedule and the second charging and discharging schedule to limit discharging according to the resource type information.
11 . A method of scheduling charging and discharging of an electric vehicle, which is performed by a computing device, a memory storing computer-executable instructions, and at least one processor configured to access the memory and execute the instructions, the method comprising: generating, by the processor, a first charging and discharging schedule wherein a state of charge (SOC) at a time point when the electric vehicle exits is higher than or equal to a target SOC according to electric vehicle information; and generating, by the processor, a second charging and discharging schedule for participation in an electric power market according to contracted power capacity data received from a demand management business operator server based on the first charging and discharging schedule.
12 . The method of claim 11 , wherein the electric vehicle information includes plug-in charger information, a current SOC, a target SOC, resource type information, battery capacity information, battery charging and discharging efficiency, and scheduled vehicle entry time and scheduled vehicle exit time information.
13 . The method of claim 12 , wherein the generating of the first charging and discharging schedule includes calculating maximum hourly charging and discharging energy using output power included in the plug-in charger information and the scheduled vehicle entry time and the scheduled vehicle exit time.
14 . The method of claim 12 , wherein the generating of the first charging and discharging schedule includes calculating the first charging and discharging schedule using the current SOC, the battery capacity information, and the target SOC of the electric vehicle.
15 . The method of claim 12 , wherein the generating of the first charging and discharging schedule includes adjusting the SOC of the electric vehicle to be within a preset battery usage range and calculating the first charging and discharging schedule.
16 . The method of claim 12 , wherein the processor sums plug-in times from a plurality of scheduled vehicle entry times to a plurality of scheduled vehicle exit times and calculates the first charging and discharging schedule and the second charging and discharging schedule according to the summed plug-in times.
17 . The method of claim 16 , wherein the generating of the second charging and discharging schedule includes calculating the second charging and discharging schedule to comply with hourly contracted power capacity.
18 . The method of claim 17 , wherein the second charging and discharging schedule includes a schedule of charging power and discharging power.
19 . The method of claim 18 , wherein the generating of the second charging and discharging schedule includes calculating the second charging and discharging schedule so that a total of charging efficiencies is equal to a total of discharging efficiencies.
20 . The method of claim 12 , wherein the processor calculates the first charging and discharging schedule and the second charging and discharging schedule to limit discharging according to the resource type information.

Description

CROSS-REFERENCE TO RELATED APPLICATION(S) This application claims priority to and the benefit of Korean Patent Application No. 10-2024-0153331, filed on Nov. 1, 2024, the disclosure of which is incorporated herein by reference in its entirety. TECHNICAL FIELD Embodiments relate to a device and method for scheduling charging and discharging of an electric vehicle. BACKGROUND As the spread of various distributed energy resources such as solar power generation, wind power generation, and an energy storage system (ESS) are actively progressing, a vehicle to grid (V2G) technology, which provides discharging in addition to charging by sending the energy of an electric vehicle battery to a power grid, is being considered. In addition, a technology that uses the V2G technology to reduce an electricity bill and generate profits in connection with homes (e.g., vehicle to home (V2H)), buildings (vehicle to building (V2B)), or the like and further contributes to the stabilization of the power grid is being considered. Accordingly, the management of charging and discharging scheduling of electric vehicles may be useful. Recently, as the spread and sales of electric vehicles increase, variables are increasing, which may cause concerns such as increased calculation dimensions, increased complexity, and, representatively, increased time. SUMMARY The present disclosure is directed to providing a device and method for scheduling charging and discharging of an electric vehicle, which are capable of performing optimal charging and discharging scheduling of an electric vehicle. In addition, the present disclosure is directed to providing a device and method for scheduling charging and discharging of an electric vehicle, which are capable of participating in an electric power trading market to generate profits using power of an electric vehicle. According to an aspect of the present disclosure, there is provided a device for scheduling charging and discharging of an electric vehicle, which includes one or more processors, and a memory configured to store one or more programs executed by the one or more processors, wherein the processor is configured to calculate a first charging and discharging schedule so that a state of charge (SOC) at a time point when an electric vehicle exits is higher than or equal to a target SOC according to electric vehicle information, and calculate a second charging and discharging schedule for participation in an electric power market according to contracted power capacity data received from a demand management business operator server based on the first charging and discharging schedule. The electric vehicle information may include plug-in charger information, a current SOC, a target SOC, resource type information, battery capacity information, battery charging and discharging efficiency, and scheduled vehicle entry time and scheduled vehicle exit time information. The processor may sum plug-in times from a plurality of scheduled vehicle entry times to a plurality of scheduled vehicle exit times and calculate the first charging and discharging schedule and the second charging and discharging schedule according to the summed plug-in times. The processor may calculate the second charging and discharging schedule to comply with hourly contracted power capacity. The second charging and discharging schedule may include a schedule of charging power and discharging power. The processor may calculate the second charging and discharging schedule so that a total of charging efficiencies is equal to a total of discharging efficiencies. The processor may calculate the first charging and discharging schedule and the second charging and discharging schedule to limit discharging according to the resource type information. According to another aspect of the present disclosure, there is provided a method of scheduling charging and discharging of an electric vehicle, which is performed by a computing device including one or more processors and a memory configured to store one or more programs executed by the one or more processors and includes calculating, by the processor, a first charging and discharging schedule so that a state of charge (SOC) at a time point when an electric vehicle exits is higher than or equal to a target SOC according to electric vehicle information, and calculating, by the processor, a second charging and discharging schedule for participation in an electric power market according to contracted power capacity data received from a demand management business operator server based on the first charging and discharging schedule. The electric vehicle information may include plug-in charger information, a current SOC, a target SOC, resource type information, battery capacity information, and scheduled vehicle entry time and scheduled vehicle exit time information. The calculating of the first charging and discharging schedule may include calculating maximum hourly charging and discharging energy us