• Title/Summary/Keyword: EV(Electric Vehicle)

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Design and Implementation of Distributed Charge Signal Processing Software for Smart Slow and Quick Electric Vehicle Charge

  • Chang, Tae Uk;Ryu, Young Su;Song, Seul Ki;Kwon, Ki Won;Paik, Jong Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1674-1688
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    • 2019
  • As environmental pollution and fossil fuel energy problems from fuel vehicle have occurred, the interest of electric vehicle(EV) has increased. EV industry and energy industry have grown dynamically in these days. It is expected that the next generation of primary transportation will be EV, and it is necessary to prepare EV infra and efficient energy management such as EV communication protocol, EV charge station, and smart grid. Those EV and energy industry fields are now on growth. Also, the study and development of them are now in progress. In this paper, distributed charge signal processing software for smart slow and quick EV charge is proposed and designed for dealing with EV charge demand. The software consists of smart slow and quick EV charge schedule engine and EV charge power distribution core. The software is designed to support two charge station types. One is normal EV charge station and the other is bus garage EV charge station. Both two types collect the data from EV charge stations, and then analyze the collected data. The software suggests optimized EV charge schedule and deliveries EV charge power distribution information to power switchboard system, and the designed software is implemented on embedded system. It is expected that the software provides efficient EV charge schedule.

Reliability Verification of Battery Disconnecting Unit (BDU 신뢰성 검증)

  • Yoon, Hye-Lim;Ryu, Haeng-Soo;Ji-Hong;Hong-Tae, Park
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.866-867
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    • 2011
  • As part of the green growth, The Green Car has attracted wide attention. Types of the Green Car are Electric Vehicle, Plug-in Hybrid Electric Vehicle, Hybrid Electric Vehicle, Fuel Cell Vehicle and Clean Diesel Vehicle. Of these, The electric vehicle is equipped with the BDU(Battery Disconnecting Unit). BDU is supplying stable battery power and blocking it to protect electrical system of the electric vehicle. The BDU consists of electric components such as current sensor, fuse and pre-charge resistor. These must pass Voltage withstand test, Salt mist test, Thermal shock test, Vibration test and Short-circuit test commonly to verify reliability of the electric components. In addition, The current sensor should be verified whether normal operation. The breaking capacity of fuse should be verified. The durability of pre-charge resistor should be verified by supplying battery power and blocking it repeatedly. The reliability of BDU as well as the electric vehicle is secured by verifying the reliability of electric components. In addition, It will contribute to the acceleration and promotion of Green Car Technology.

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Proposed concept design for electric vehicle charger in public places (공공장소에서의 전기 자동차 충전기 디자인 콘셉트 제안)

  • Jin, A-Young
    • Design & Manufacturing
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    • v.16 no.2
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    • pp.13-19
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    • 2022
  • Recently, electric vehicles are gaining popularity among many domestic and foreign users due to their eco-friendly advantages of reducing fine dust and environmental greenhouse gases. As the demand and supply of electric vehicles increase, the demand for electric vehicle charging infrastructure is also growing together. Many users are experiencing inconvenience due to poor charging infrastructure, which makes them hesitant to buy electric vehicles. Research on the user experience of chargers in apartment complexes, a common residential type in Korea, is being conducted somewhat, but research on the design of electric vehicle charging devices in public places is insufficient. The purpose of this research is to identify user requirements and complaints based on the product design of the electric vehicle charger in public places and propose a new electric vehicle product design concept that meets the requirements. The research method understood the charging base and status of electric vehicles in public places through literature research and examined and analyzed the characteristics and problems of product design cases that improved the charging problem of electric vehicles recently released in the market. It is intended to identify and analyze the problems of the charging device product design through user interviews, a qualitative research method, and based on this, it is intended to propose a user-centered product design concept that improves major complaints.

Design Characteristics on Electric Drivetrain for Electric Vehicle Based on Driving Performance

  • Park, Ji-Seong;Jung, Sang-Yong
    • Journal of IKEEE
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    • v.13 no.3
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    • pp.47-54
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    • 2009
  • Design consideration on electric drivetrain(E-D/T), usually referred as electric motor for driving, its compatible reduction gear, and inverter, are performed for developing electric vehicle(EV) with efficient driving performance. Universal mode of driving cycle has been used to make up the actual vehicle performance, and its results are incorporated to the design of E-D/T.

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Energy Consumption of the Electric Vehicle and Internal Combustion Engine Vehicle for Different Driving Cases (주행 상황에 따른 전기차와 내연기관차의 에너지 소비 비교)

  • Kim, Jeong-Min
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.5
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    • pp.8-13
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    • 2020
  • In this paper, the electric vehicle (EV) and internal combustion engine vehicle (ICEV) are compared for different driving cases. The EV exhibits a lower powertrain efficiency when driven on the aggressive driving cycle than when driven on the moderate cycle. In particular, EV powertrain efficiency is low when the battery state of charge (SOC) is low, but ICEV efficiency increases when the driving cycle changes from the moderate cycle to the aggressive cycle. Based on these results, attempts can be made to increase EV powertrain efficiency. EV charging before the battery power drops to a low charging state can reduce energy consumption by 2.7% for an urban area. Furthermore, ECO driving has a more significant effect on EVs than on ICEVs.

Electric Vehicle Charging Control System using a Smartphone Application Based on WiFi Communication (WiFi 기반 스마트폰 어플리케이션을 이용한 전기자동차 충전제어시스템)

  • Ro, Sunny;Lee, Kyung-Jung;Ki, Young-Hun;Ahn, Hyun-Sik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.8
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    • pp.1138-1143
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    • 2013
  • In this paper, we propose a smartphone application based on a wireless fidelity(WiFi) in order to control the charging of electric vehicle(EV) and monitor the charging status together with the vehicle history information. The driver obtains much information on vehicle status through a smartphone application which communicates with the electric vehicle supply equipment(EVSE) management server while the EV also communicates with the EVSE for the authentification through controller area network(CAN). We also implement the simulator for the EV charging control system to verify the functions of the proposed application where the simulator consists of an EV model, an EVSE, and a smartphone. It is shown by the simulator that the proposed smartphone application allows the driver to control and to monitor the charging process of an EV conveniently and, moreover, it can provide the driver with vehicle information stored in the EVSE management server.

Comparative Analysis of Maximum Driving Range of Electric Vehicle and Internal Combustion Engine Vehicle (전기자동차 및 내연기관 자동차의 최대 주행 거리 비교 분석)

  • Kim, Jeongmin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.3
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    • pp.105-112
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    • 2013
  • In this paper, EV (Electric Vehicle) and ICE (Internal Combustion Engine) vehicle simulators are developed to compare maximum driving range of EV and ICE vehicle according to different driving patterns. And, simulations are performed for fourteen constant velocity cases (20, 30, 40, ${\ldots}$, 150 km/h) and four different driving cycles. From the simulation results of constant velocity, it is found that the decreasing rate of maximum driving range for EV is larger than the one for ICE as both the vehicle velocity and the driving power increase. It is because the battery efficiency of EV decreases as both the velocity and the driving power increase, whereas the engine and transmission efficiencies of ICE vehicle increase. From the results of four driving cycle simulation, the maximum driving range of EV is shown to decrease by 50% if the average driving power of driving cycle increases from 10 to 20kW. It is because the battery efficiency decreases as the driving power increases. In contrast, the maximum driving range of ICE vehicle also increases as the average driving power of driving cycle increases. It is because the engine and transmission efficiencies also increase as the driving power increases.

Development of Battery Management System for Electric Vehicle (전기자동차용 전지관리 시스템의 개발)

  • Kim, C.G.;Sung, K.T.;Kim, S.H.;Koo, J.S.;Park, S.S.;Youn, K.Y.;Kim, C.S.
    • Proceedings of the KIEE Conference
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    • 2002.07b
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    • pp.1223-1225
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    • 2002
  • This paper has described in Electric Vehicle Battery Management System(EV BMS). EV BMS manages the input/output energy of the traction battery, and provides the optimum environment condition during charging/ driving through the communication with other controllers. In this paper, we introduce our BMS for Santa Fe EV. Hyundai Motor Company has been developed EV since 1990. Recently, Santa Fe EV has been demonstrating with the environmental friendly technology. Two year real road testing program with electric powered Santa Fe is being undertaken by HMC in Hawaii.

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The smart EV charging system based on the big data analysis of the power consumption patterns

  • Kang, Hun-Cheol;Kang, Ki-Beom;Ahn, Hyun-kwon;Lee, Seong-Hyun;Ahn, Tae-Hyo;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.9 no.2
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    • pp.1-10
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    • 2017
  • The high costs of electric vehicle supply equipment (EVSE) and installation are currently a stumbling block to the proliferation of electric vehicles (EVs). The cost-effective solutions are needed to support the expansion of charging infrastructure. In this paper, we develope EV charging system based on the big data analysis of the power consumption patterns. The developed EV charging system is consisted of the smart EV outlet, gateways, powergates, the big data management system, and mobile applications. The smart EV outlet is designed to low costs of equipment and installation by replacing the existing 220V outlet. We can connect the smart EV outlet to household appliances. Z-wave technology is used in the smart EV outlet to provide the EV power usage to users using Apps. The smart EV outlet provides 220V EV charging and therefore, we can restore vehicle driving range during overnight and work hours.