• Title/Summary/Keyword: Electric vehicle

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Smart Card and Dynamic ID Based Electric Vehicle User Authentication Scheme (스마트카드 및 동적 ID 기반 전기 자동차 사용자 인증 스킴)

  • Jung, Su-Young;Kwak, Jin
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.141-148
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    • 2013
  • Smart grid can two-way communication using ICT(Information & Communication Technology). Also, smart grid can supply to dynamic power that grafted to electric vehicle can activate to electric vehicle charging infrastructure and used to storage battery of home. Storage battery of home can resale to power provider. These electric vehicle charging infrastructure locate fixed on home, apartment, building, etc charging infrastructure that used fluid on user. If don't authentication for user of fluid user use to charging infrastructure, electric charging service can occurred to illegal use, electric charges and leakgage of electric information. In this paper, we propose smartcard and dynamic ID based user authentication scheme for used secure to electric vehicle service in smart grid environment.

Applications and Impact of V2G Technology for Electric Vehicle and Charging Infrastructure (전기자동차와 충전기반시설의 V2G 기술 활용과 영향에 관한 연구)

  • Lee, Sunguk;Park, Byungjoo
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.367-373
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    • 2019
  • As the number of Battery Electric Vehicle (BEV) is increasing dramatically Vehicle-to-Grid (V2G) te chnology also has been spotlight from industry and academia recently. With help of V2G technology Battery of EV can play many important roles like as energy storage system (ESS) and electric energy resource in Smart Grid environment. This paper provides comprehensive review of Vehicle-to-Home(V2H), Vehicle-to-Building(V2B) and Vehicle-to-Grid(V2G) technologies. The economical analysis of these technologies is also discussed.

Development of Electric Drive system for Fuel Cell Electric Vehicle (연료전지차용 전기구동시스템 개발)

  • Kim, Jae-Kwang;Lee, Hyeoun-Dong;Yoo, Ki-Ho;Lim, Tae-Won
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.546-549
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    • 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.

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Long-term Driving Data Analysis of Hybrid Electric Vehicle

  • Woo, Ji-Young;Yang, In-Beom
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.3
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    • pp.63-70
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    • 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.

Speed Error Compensation of Electric Differential System Using Neural Network (신경망을 이용한 전기차동차의 속도오차 보상)

  • Ryoo, Young-Jae;Lee, Ju-Sang;Lim, Young-Cheol;Chang, Young-Hak;Kim, Eui-Sun;Moon, Chae-Joo
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.1
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    • pp.1205-1210
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    • 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.

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Space Proposed in Accordance with the Usage Patterns and Analysis of the Charging Station Environment of Electric Vehicles

  • Hwang, Soon-Min;Kim, Dong-Chan
    • KIEAE Journal
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    • v.14 no.4
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    • pp.27-33
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    • 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.

A Case Study on Quality Improvement of Electric Vehicle Hairpin Winding Motor Using Deep Learning AI Solution (딥러닝 AI 솔루션을 활용한 전기자동차 헤어핀 권선 모터의 용접 품질향상에 관한 사례연구)

  • Lee, Seungzoon;Sim, Jinsup;Choi, Jeongil
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.283-296
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    • 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.

The Theoretical Life Prediction of Battery Disconnecting System for Electric Vehicle (전기자동차 베터리 차단장치의 이론적 수명 예측에 대한 연구)

  • Ryu, Haeng-Soo;Park, Hong-Tae
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.864-865
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    • 2011
  • Battery Disconnecting System (BDS) is the important equipment in electric vehicle system. Therefore, most of electric vehicle companies, i.e. Hyundai Motors, Renault Motors, General Motors, want to have the reliability of 15 years - 150, 000 miles. Recently, reliability prediction through Siemens Norm SN 29500 is considered without testing. In this paper, we will introduce the standard and various input parameters. Also the case study will be shown for BDS. Prediction model is constructed by listing all the components of BDS. It calculates the $\pi$ factors for each components using the conversion equation in the standard and converts the reference failure rates to the expected operating failure rates. According to the result, the parts which will be improved are EV-Relays.

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