• 디지털융복합연구
• /
• 제11권7호
• /
• pp.141-148
• /
• 2013

스마트그리드는 정보통신기술을 이용하여 전력공급자와 소비자의 양방향통신을 가능하게 한다. 또한 동적인 전력 공급이 가능하기 때문에 전기 자동차 기술과 접목시킬 경우 전기 자동차 충전 인프라를 활성화시키고 전기 자동차의 배터리를 가정용 축전지로 활용하여 재판매할 수도 있다. 이러한 전기 자동차 충전 인프라는 가정, 아파트, 건물, 기타 충전소 등에 고정적으로 위치하여 있고 사용자만 유동적으로 서비스를 이용한다. 만약 유동적으로 서비스를 이용하는 사용자에 대해 인증이 이루어지지 않을 경우 전력 서비스의 불법적인 사용, 전력 정보 유출, 불법적인 전력 요금 변경 등의 피해가 발생할 수 있다. 본 논문에서는 스마트그리드 환경에서 안전하게 전기 자동차 관련 서비스를 이용하기 위해 스마트카드 및 동적 ID 기반 사용자 인증 스킴을 제안한다.

• 문화기술의 융합
• /
• 제5권2호
• /
• pp.367-373
• /
• 2019

급격한 전기자동차의 증가에 따라 전기자동차의 배터리를 주행 목적이 아닌 다른 용도로 사용하려는 Vehicle-to-Grid (V2G) 기술 또한 산업계와 학계부터 큰 관심을 끌고 있다. V2G 기술의 도움으로 전기자동차의 배터리는 스마트 그리드 환경에서 에너지 저장장치, 전력공급원등의 여러 중요한 역할로의 사용이 가능해 진다. 본고 에서는 거주용 주택환경을 위한 기술인 Vehicle-to-Home(V2H), 상업용 건물을 위한 기술인 Vehicle-to-Building(V2B) 그리고 전체 전력망을 위한 기술인 Vehicle-to-Grid(V2G) 기술에 대해 자세히 알아보고 각 기술의 특성과 영향에 대해 검토한다. 또한 이 기술들의 경제적 영향에 대해서도 분석한다.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2008년도 춘계학술대회 논문집
• /
• pp.546-549
• /
• 2008

Hyundai Motor Company has made an effort to develop fuel cell electric vehicle and its subsystem in recent years. This paper deal with the development of electric drive system applied to Hyundai's fuel cell electric vehicle. This system is composed of three main components such as motor, inverter and DC/DC converter. The specifications of each system is introduced briefly and experimental result of its main components is presented. In addition, we introduce the development status of power semiconductor device, film capacitor, inductor and permanent magnet.

• 한국분무공학회지
• /
• 제29권1호
• /
• pp.1-6
• /
• 2024

This paper is a numerical analysis study for evaluating the energy efficiency of electric vehicles. Currently, the methods for testing and evaluating the energy consumption efficiency of electric vehicles have limitations such as resources and time. Therefore, there is a need for research on developing models to predict the energy consumption efficiency of electric vehicles. In this study, a numerical analysis research is conducted to predict the energy efficiency of electric vehicles using a vehicle dynamics numerical analysis model. To validate the accuracy of the simulation model, it is compared the results of dynamometer tests with the simulation results and used the Unified Diagnostic Services (UDS) protocol to acquire internal data from the electric vehicle. It is ensured the reliability of the simulation model by comparing data such as motor speed, battery voltage, current, state of charge (SOC), regenerative braking power generation, and total driving distance of the test vehicle with dynamometer test data and simulation model results.

• 한국컴퓨터정보학회논문지
• /
• 제23권3호
• /
• pp.63-70
• /
• 2018

In this work, we analyze the relationship between the accumulated mileage of hybrid electric vehicle(HEV) and the data provided from vehicle parts. Data were collected while traveling over 70,000 Km in various paths. The data collected in seconds are aggregated for 10 minutes and characterized in terms of centrality, variability, normality, and so on. We examined whether the statistical properties of vehicle parts are different for each cumulative mileage interval of a hybrid car. When the cumulative mileage interval is categorized into =< 30,000, <= 50,000, and >50,000, the statistical properties are classified by the mileage interval as 82.3% accuracy. This indicates that if the data of the vehicle parts is collected by operating the hybrid vehicle for 10 minutes, the cumulative mileage interval of the vehicle can be estimated. This makes it possible to detect the abnormality of the vehicle part relative to the accumulated mileage. It can be used to detect abnormal aging of vehicle parts and to inform maintenance necessity.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2008년도 춘계학술대회 논문집
• /
• pp.115-115
• /
• 2008

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2017년도 전력전자학술대회
• /
• pp.64-65
• /
• 2017

This paper review the core technical trends of TESAL EV(Electric Vehicle) Motors. The object of this study analyzes electric vehicle's body appearance, motor cooling system, battery arrangement, battery management system (BMS), and super charging station etc.

• 제어로봇시스템학회논문지
• /
• 제7권1호
• /
• pp.1205-1210
• /
• 2001

This paper describes a methodology using neural network to compensate the nonlinear error of deriving speed for electric differential system included in electric vehicle. An electric differential system which drives each of the left and right wheels of the electric vehicle independently. The electric vehicle driven by induction motor has the nonlinear speed error which depends on a steering angle and speed command. When a vehicle drives along a curved road lane, the speed unblance of inner and outer wheels makes vehicles vibration and speed reduction. To compensate for the speed error, we collected the speed data of the inner wheel and outer wheel in various speed and the steering angle data by using an manufactured electric vehicle and the real system. According to the analysis of the acquisited data, we designed the differential speed control system based on a speed error compensator using neural network.

• KIEAE Journal
• /
• 제14권4호
• /
• pp.27-33
• /
• 2014

This study analyzed the electric vehicle recharging station status with recharging time limitation due to long waiting time, and figured out the user status by user interviews. And then this study verified the validity of hypothesis in terms of environmental design perspective and suggested layout of recharging station model. 21 recharging stations in Korea and station operation cases of 7 countries were examined. Except for the USA, the reality of electric vehicle recharging station today is the 1st proving stage focusing on the infrastructure construction of electric vehicle recharging station. It focuses on performance of recharging facility, use efficiency and operation environment of electric vehicle. About the effective waiting time of the user to use it should be studied. The current conditions of recharging station are as follows: Lack of independent recharging space, lack of facility that reduces external effect of recharging space, and lack of lounge for users during the waiting time. These three are essential factors constructing a suggesting model after basic layout, which needs proper measurement on the long recharging time and long waiting time. The essential factors are applied to electric vehicle recharging station layout so that users might use 'digital refresh" i.e. lounge and information contents service during the waiting time which provides convenience of recharging and emotional space with users. Such upgrade recharging station environmental model might resolve the burden of long recharging time which may contribute to the popularization of electric vehicles.

• 품질경영학회지
• /
• 제51권2호
• /
• pp.283-296
• /
• 2023

Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.