• Title/Summary/Keyword: Electrical Vehicle

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Development of a Unified Research Platform for Plug-In Hybrid Electrical Vehicle Integration Analysis Utilizing the Power Hardware-in-the-Loop Concept

  • Edrington, Chris S.;Vodyakho, Oleg;Hacker, Brian A.
    • Journal of Power Electronics
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    • v.11 no.4
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    • pp.471-478
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    • 2011
  • This paper addresses the establishment of a kVA-range plug-in hybrid electrical vehicle (PHEV) integration test platform and associated issues. Advancements in battery and power electronic technology, hybrid vehicles are becoming increasingly dependent on the electrical energy provided by the batteries. Minimal or no support by the internal combustion engine may result in the vehicle being occasionally unable to recharge the batteries during highly dynamic driving that occurs in urban areas. The inability to sustain its own energy source creates a situation where the vehicle must connect to the electrical grid in order to recharge its batteries. The effects of a large penetration of electric vehicles connected into the grid are still relatively unknown. This paper presents a novel methodology that will be utilized to study the effects of PHEV charging at the sub-transmission level. The proposed test platform utilizes the power hardware-in-the-loop (PHIL) concept in conjunction with high-fidelity PHEV energy system simulation models. The battery, in particular, is simulated utilizing a real-time digital simulator ($RTDS^{TM}$) which generates appropriate control commands to a power electronics-based voltage amplifier that interfaces via a LC-LC-type filter to a power grid. In addition, the PHEV impact is evaluated via another power electronic converter controlled through $dSPACE^{TM}$, a rapid control systems prototyping software.

Magnetic Field Analysis of Wireless Power Transfer via Magnetic Resonant Coupling or Electric Vehicle

  • Kesamaru, Katsumi
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.1
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    • pp.83-87
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    • 2014
  • This paper describes the magnetic field analysis of wireless power transfer via magnetic resonant coupling. The wireless power transfer system for supplying power to electric vehicle is developed. The parameters of coil transfer system are simulated by the finite element method (FEM). Therefore the coil structure of power transfer system can be accurately analyzed. This paper deals with 3kW wireless transfer system.

A Modeling and Simulation Implementation on the Power Line Disturbances by Loss of Contact for the High-Speed Railway Vehicle (고속전철 주행시 이선에 따른 전원외란 현상 모델링 및 시뮬레이션 구현)

  • Kim, Jae-Moon;Kim, Yang-Soo;Chang, Chin-Young;Gimm, Yoon-Myoung
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.1137-1142
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    • 2008
  • In this paper, an effect on power conversion unit in high-speed railway vehicle by loss of contact between a catenary system and pantograph suppling electrical power to high-speed railway vehicle are investigated. One of the most important needs accompanied by increasing the speed of high-speed railway vehicle is reduced that arc phenomenon by loss of contact brings out EMI. in case of high-speed railway vehicle using electrical power, as comparison with diesel rolling stock, PLD(Power Line Disturbance) such as harmonic, transient voltage and current, EMI, dummy signal injection etc usually occur. To analysis the effect on loss of contact, it is necessary electrical modeling system between the contact line and the pantograph according to the loss of contact. Therefore analytical model of a contact line and a pantograph is constructed to simulate the behaviour of loss of contact. The reliability of the modeling system is verified by simulation implementation on kinds of loss of contact.

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Vehicle Orientation Detection Using CNN

  • Nguyen, Huu Thang;Kim, Jaemin
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.619-624
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    • 2021
  • Vehicle orientation detection is a challenging task because the orientations of vehicles can vary in a wide range in captured images. The existing methods for oriented vehicle detection require too much computation time to be applied to a real-time system. We propose Rotate YOLO, which has a set of anchor boxes with multiple scales, ratios, and angles to predict bounding boxes. For estimating the orientation angle, we applied angle-related IoU with CIoU loss to solve the underivable problem from the calculation of SkewIoU. Evaluation results on three public datasets DLR Munich, VEDAI and UCAS-AOD demonstrate the efficiency of our approach.

A Study on the Power Generation Performance Evaluation of the Alternator for the Vehicle (자동차용 발전기의 발전 성능 평가에 관한 연구)

  • Ahn, Hyun-Jin;Shim, Kwan-Shik;Lim, Young-Cheol;Choi, Jun-Ho;Park, Sung-Jun;Kim, Eui-Sun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.6
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    • pp.21-29
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    • 2014
  • In this paper examine the characteristics of the generator supplying the most significant electrical energy in some parts required to drive the vehicle, and it is focused on to fabricate a performance evaluation unit for developing alternator with better performance. Through performance tests in accordance with the electrical load of alternators that is made in Valeo Corp. and Denso Corp., which are currently applied by H Corp., the fabricated performance evaluation unit has measured the power generation amount of the electrical energy supplied from the alternator, and it was analyzed. On the basis of this result, and to understand the flow of electrical energy of the vehicle, furthermore, it is intended to verify the usefulness of the performance evaluation unit which is designed in this paper. In this paper, based on the mechanism of the proposed performance evaluation unit, it will try to learn the convergence technology that can be applied to the design of the performance evaluation unit of other components of the vehicle.

MCMC Particle Filter based Multiple Preceeding Vehicle Tracking System for Intelligent Vehicle (MCMC 기반 파티클 필터를 이용한 지능형 자동차의 다수 전방 차량 추적 시스템)

  • Choi, Baehoon;An, Jhonghyun;Cho, Minho;Kim, Euntai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.186-190
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    • 2015
  • Intelligent vehicle plans motion and navigate itself based on the surrounding environment perception. Hence, the precise environment recognition is an essential part of self-driving vehicle. There exist many vulnerable road users (e.g. vehicle, pedestrians) on vehicular driving environment, the vehicle must percept all the dynamic obstacles accurately for safety. In this paper, we propose an multiple vehicle tracking algorithm using microwave radar. Our proposed system includes various special features. First, exceptional radar measurement model for vehicle, concentrated on the corner, is described by mixture density network (MDN), and applied to particle filter weighting. Also, to conquer the curse of dimensionality of particle filter and estimate the time-varying number of multi-target states, reversible jump markov chain monte carlo (RJMCMC) is used to sampling step of the proposed algorithm. The robustness of the proposed algorithm is demonstrated through several computer simulations.

Effect Analysis for Inequality of Basic Grounding in Bimodal Tram (바이모달 트램의 기준접지 불균등전위에 따른 영향분석)

  • Lee, Kang-Won;Mok, Jai-Kyun;Jang, Se-Ky
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.78-81
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    • 2011
  • Generally, vehicle is insulated from the earth by rubber tire which is intrinsically the insulation material. The electrical ground of vehicle was floated in the sense of electric potential over the electric power sources. First of all, the floated electrical ground of vehicle should be equipotentially connected with the (-) line of electrical equipment. Bimodal tram has the different kinds of electric system. They must be kept insulated to each other electrically. When there is some unbalanced event or connection between them, it will invoke some errors or breakdown to electrical devices including sensors and actuators. This paper has investigated the floating ground effect of bimodal tram built with composite body and shown the effect according to the unbalanced ground of vehicle and the connection between different electric systems.

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Robust Speed Control of an Autonomous Vehicle Using Disturbance Observer (외란 관측기를 이용한 모형 자율 주행 자동차의 강인 속도 제어)

  • Ko, Young-Jun;Kim, Young-Jun;Kim, Jung-Su
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.5
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    • pp.339-345
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    • 2016
  • This paper presents a robust speed control of an autonomous vehicle using a disturbance observer. For the purpose, the transfer function of speed dynamics of an autonomous vehicle is identified using step response data. Based on the identified transfer function, model based PID (Proportional-Integral-Derivative) control is designed. In order to design a robust control against load variations on the vehicle, a disturbance observer (DOB) based control is devised. The performance of the designed DOB based control is demonstrated by real experiments.

A Novel Approach for the Unit Commitment with Vehicle-to-grid

  • Jin, Lei;Yang, Huan;Zhou, Yuying;Zhao, Rongxiang
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.3
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    • pp.367-374
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    • 2013
  • The electrical vehicles (EV) with vehicle-to-grid (V2G) capability can be used as loads, energy sources and energy storage in MicroGrid integrated with renewable energy sources. The output power of generators will be reallocated in the considering of V2G. An intelligent unit commitment (UC) with V2G for cost optimization is presented in this paper. A new constraint of UC with V2G is considered to satisfy daily use of EVs. A hybrid optimiza-tion algorithm combined Binary Particle Swarm Optimization (BPSO) with Lagrange Mul-tipliers Method (LMM) is proposed. The difference between results of UC with V2G and UC without V2G is presented.

Modeling and Simulation of Electrical Power System of Electric Vehicle (전기자동차 전력 시스템의 모델링 및 시뮬레이션)

  • Lee, Jea-Moon;Cho, Bo-Hyung
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.355-358
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    • 1996
  • Electrical Power System (EPS) of Electric Vehicle which consists of batteries, motor and driving subsystem, has been modeled. A battery model is modeled with an electrical circuit representing a characteristics of real battery. Driving subsystem is modeled as three different level namely exact, average and functional models. Load profile includes road information, speed profile and EV mechanical parameters, which are incorporated into a reference torque in the driving subsystem model. A system model is integrated to simulate the performance of electric vehicle such as energy balance, battery status, and electrical stress of each subsystem.

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