• Title/Summary/Keyword: Electronic Vehicle

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차량의 부분 특징을 이용한 터널 내에서의 차량 검출 및 추적 알고리즘 (A Vehicle Detection and Tracking Algorithm Using Local Features of The Vehicle in Tunnel)

  • 김현태;김규영;도진규;박장식
    • 한국전자통신학회논문지
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    • 제8권8호
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    • pp.1179-1186
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    • 2013
  • 본 논문에서는 터널 내에서 차량의 운행 상태를 모니터링하기 위하여 차량 검출 및 추적 알고리즘을 제안한다. 제안하는 알고리즘은 세 단계로 이루어진다. 첫 단계는 배경추정으로서 비교적 간단한 Running Gaussian Average (RGA)를 사용한다. 두 번째 단계는 차량검출 단계이며, Adaboost 알고리즘을 적용한다. 상대적으로 먼거리의 차량에 대한 오검출을 줄이기 위하여 차량의 높이별 부분 특징을 이용하여 차량을 검출한다. 물체의 부분 특징들이 임계값 이상이면 차량으로 분류한다. 마지막 단계는 차량추적 단계이며, Kalman 필터를 적용하여 이동하는 물체를 추적한다. 컴퓨터 시뮬레이션을 통하여 제안하는 알고리즘이 터널 내에서 차량 검출 및 추적에 유용한 것을 확인하였다.

친환경 자동차용 통합형 전력변환장치의 개발 및 배터리 HILS를 이용한 LDC 검증에 관한 연구 (Development of the Integrated Power Converter for the Environmentally Friendly Vehicle and Validation of the LDC using Battery HILS)

  • 김태훈;송현식;이백행;이찬송;권철순;정도양
    • 전기학회논문지
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    • 제63권9호
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    • pp.1212-1218
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    • 2014
  • For OBC (On-Board Charger) and LDC (Low DC-DC Converter) used as essential power conversion systems of PHEV (Plug-in Hybrid Electric Vehicle), system performance is required as well as reliability, which is need to protect the vehicle and driver from various faults. While current development processor is sufficient for embodying functions and verifying performance in normal state during development of prototypes for OBC and LDC, there is no clear method of verification for various fault situations that occur in abnormal state and for securing stability of vehicle base, unless verification is performed by mounting on an actual vehicle. In this paper, a CCM (Charger Converter Module) was developed as an integrated structure of OBC and LDC. In addition, diverse fault situations that can occur in vehicles are simulated by a simulator to artificially inject into power conversion system and to test whether it operates properly. Also, HILS (Hardware-in-the-Loop Simulation) is carried out to verify whether LDC is operated properly under power environment of an actual vehicle.

Design and Implementation of Modified Current Source Based Hybrid DC - DC Converters for Electric Vehicle Applications

  • Selvaganapathi, S.;Senthilkumar, A.
    • Transactions on Electrical and Electronic Materials
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    • 제17권2호
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    • pp.57-68
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    • 2016
  • In this study, we present the modern hybrid system based power generation for electric vehicle applications. We describe the hybrid structure of modified current source based DC - DC converters used to extract the maximum power from Photovoltaic (PV) and Fuel Cell system. Due to reduced dc-link capacitor requirement and higher reliability, the current source inverters (CSI) better compared to the voltage source based inverter. The novel control strategy includes Distributed Maximum Power Point Tracking (DMPPT) for photovoltaic (PV) and fuel cell power generation system. The proposed DC - DC converters have been analyzed in both buck and boost mode of operation under duty cycle 0.5>d, 0.5<d<1 and 0.5<d for capable electric vehicle applications. The proposed topology benefits include one common DC-AC inverter that interposes the generated power to supply the charge for the sharing of load in a system of hybrid supply with photovoltaic panels and fuel cell PEM. An improved control of Direct Torque and Flux Control (DTFC) based induction motor fed by current source converters for electric vehicle.In order to achieve better performance in terms of speed, power and miles per gallon for the expert, to accepting high regenerative braking current as well as persistent high dynamics driving performance is required. A simulation model for the hybrid power generation system based electric vehicle has been developed by using MATLAB/Simulink. The Direct Torque and Flux Control (DTFC) is planned using Xilinx ISE software tool in addition to a Modelsim 6.3 software tool that is used for simulation purposes. The FPGA based pulse generation is used to control the induction motor for electric vehicle applications. FPGA has been implemented, in order to verify the minimal error between the simulation results of MATLAB/Simulink and experimental results.

CAN 버스 공격에 안전한 메시지 인증 및 키 분배 메커니즘 (A Message Authentication and Key Distribution Mechanism Secure Against CAN bus Attack)

  • 조아람;조효진;우사무엘;손영동;이동훈
    • 정보보호학회논문지
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    • 제22권5호
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    • pp.1057-1068
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    • 2012
  • 차량 기술이 발전함에 따라 차량 내부에는 많은 수의 ECU(Electronic Control Unit)가 탑재되고 있다. 차량 내부에 탑재된 ECU간의 통신은 CAN(Controller Area Network)을 통해 이루어진다. CAN은 높은 신뢰성을 갖기 때문에 안전한 차량통신을 지원한다. 하지만 별도의 보안메커니즘이 적용되어 있지 않기 때문에, 많은 취약점을 내포하고 있다. 최근 연구에서는 CAN의 취약점을 이용한 공격이 제시되고 있다. 본 논문에서는 이동 통신망을 이용한 차량 내부 네트워크에 대한 원격공격 모델을 제시한다. 또한 차량 내부 메시지의 기밀성과, 무결성을 보장하면서 동시에 리플레이 공격을 방지할 수 있는 안전한 차량 내부 네트워크 메시지 인증 메커니즘을 제시한다.

지도의 의미 정보를 이용한 개선된 차량 위치 추정 알고리즘 (An Improved Position Estimation Algorithm of Vehicles Using Semantic Information of Maps)

  • 이창길;최윤호;박진배
    • 제어로봇시스템학회논문지
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    • 제22권9호
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    • pp.753-758
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    • 2016
  • In this paper, we propose a novel method for estimating a vehicle's current position, even on roads that have similar patterns. In the proposed method, we classified the semantic information of the nodes in detail and added the semantic information of the link to solve the problem due to similar and repeated patterns. We also improved the mapping method by comparing the result of the duplicated matching with that of the only matching obtained just before corresponding duplicated matching. From the simulation results, we verify that the performance of the proposed method is better than that of the existing method.

웨이블릿 신경 회로망을 이용한 자율 수중 운동체 방향 제어기 설계 (Design of Direct Adaptive Controller for Autonomous Underwater Vehicle Steering Control Using Wavelet Neural Network)

  • 서경철;박진배;최윤호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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    • pp.1832-1833
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    • 2006
  • This paper presents a design method of the wavelet neural network(WNN) controller based on a direct adaptive control scheme for the intelligent control of Autonomous Underwater Vehicle(AUV) steering systems. The neural network is constructed by the wavelet orthogonal decomposition to form a wavelet neural network that can overcome nonlinearities and uncertainty. In our control method, the control signals are directly obtained by minimizing the difference between the reference track and original signal of AUV model that is controlled through a wavelet neural network. The control process is a dynamic on-line process that uses the wavelet neural network trained by gradient-descent method. Through computer simulations, we demonstrate the effectiveness of the proposed control method.

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전기차량용 2kW급 양방향 LDC 개발 (Development of 2KW Power Bidirectional LDC for Electrical Vehicle)

  • 도왕록;채용웅
    • 한국전자통신학회논문지
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    • 제11권1호
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    • pp.65-72
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    • 2016
  • 본 논문에서 풀브리지 컨버터와 2차측은 전류더블러로 구성되어 있는 차량용 양방향 LDC를 개발하였다. LDC는 한쪽의 DC입력을 다른쪽의 DC 출력으로 변환시키는 컨버터이며, 본 논문에서 개발된 컨버터는 양방향으로 전력전달이 가능하다. 개발된 LDC는 1400W에서 90%의 효율을 보이고 2KW에서 약 85%정도의 효율을 나타내는 것이 확인되었다.

방향 센서와 좌우 Tracking법을 이용한 위성 자동 추적 알고리즘에 관한 연구 (A Study on Satellite Auto Tracking Algorithm Using Electronic Compass And Left-Right Tracking Method)

  • 민경식;손병선;박세현;김동철;임학규;김상태
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2000년도 춘계종합학술대회
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    • pp.124-127
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    • 2000
  • This paper describes the algorithm for more fast tracking by compensation of the staring angle of antenna to receive the satellite signal changed by the mobile vehicle direction. The staring angle is compensated by signal processing from the electronic compass which is called VECTOR2X, and a left-right tracking method. Especially, when mobile vehicle is turning with high speed, it is observed a result which has more fast tracking time by using angle tracking technique compensated by electronic compass than one by only left right tracking method.

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Detection and Recognition of Illegally Parked Vehicles Based on an Adaptive Gaussian Mixture Model and a Seed Fill Algorithm

  • Sarker, Md. Mostafa Kamal;Weihua, Cai;Song, Moon Kyou
    • Journal of information and communication convergence engineering
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    • 제13권3호
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    • pp.197-204
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    • 2015
  • In this paper, we present an algorithm for the detection of illegally parked vehicles based on a combination of some image processing algorithms. A digital camera is fixed in the illegal parking region to capture the video frames. An adaptive Gaussian mixture model (GMM) is used for background subtraction in a complex environment to identify the regions of moving objects in our test video. Stationary objects are detected by using the pixel-level features in time sequences. A stationary vehicle is detected by using the local features of the object, and thus, information about illegally parked vehicles is successfully obtained. An automatic alarm system can be utilized according to the different regulations of different illegal parking regions. The results of this study obtained using a test video sequence of a real-time traffic scene show that the proposed method is effective.

전륜 횡력의 포화를 고려한 ESC와 AFS의 통합 섀시 제어 (Integrated Chassis Control with Electronic Stability Control and Active Front Steering under Saturation of Front Lateral Tire Forces)

  • 임성진
    • 제어로봇시스템학회논문지
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    • 제21권10호
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    • pp.903-909
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    • 2015
  • This article presents an integrated chassis control with electronic stability control (ESC) and active front steering (AFS) under saturation of front lateral tire force. Regardless of the use of AFS, the front lateral tire forces can be easily saturated. Under the saturated front lateral tire force, AFS cannot be effective to generate a control yaw moment needed for the integrated chassis control. In this paper, new integrated chassis control is proposed in order to limit the use of AFS in case the front lateral tire force is saturated. Weighed pseudo-inverse control allocation (WPCA) with variable weight is adopted to adaptively use the AFS. To check the effectiveness of the proposed scheme, simulation is performed on a vehicle simulation package, CarSim. From simulation, the proposed integrated chassis control is effective for vehicle stability control under saturated front lateral tire force.