• Title/Summary/Keyword: Electric Vehicle

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Heat transfer analysis in the battery tray for electirc vehicle (전기자동차 배터리 트레이 내에서의 열전달 해석)

  • Lim Jongsoo;shin Dongshin
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.651-654
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    • 2002
  • Study of electric vehicle is popular with automobile company. However, battery cooling problem has delayed development of electric vehicle. Lifetime of electric vehicle's battery depends on the cooling effect for the battery tray. One model was simulated by 3-D, steady state, incompressible, k-e turbulent model simulation. It is found that flow inlet, outlet and inlet position are very important design parameters.

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Simulation for the Fuel Economy and the Emission of Diesel Hybrid Electric Vehicle (디젤 하이브리드 전기 자동차의 연료경제성 및 배출가스에 관한 시뮬레이션)

  • Han, Sung-Bin;Chang, Yong-Hoon;Suh, Buhm-Joo;Chung, Yon-Jong
    • Journal of Energy Engineering
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    • v.18 no.1
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    • pp.31-36
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    • 2009
  • There are several types of environment friendly vehicle being developed by auto manufactures. HEV (Hybrid Electric Vehicle) is most applicable one among them in actuality. HEV has two power sources, one is an internal combustion engine, the other one is an electric device. The HEV is developed for reducing fuel consumption and emissions. We selected the diesel engine as a main power source of HEV. The tests were carried out under different driving cycles which was CBDBUS (Central Business Driving Bus Schedule) and HWFET (Highway Fuel Economy Test). This research presents a simulation for the fuel economy and the emission of heavy diesel hybrid vehicle according to the SHEV (Serial Hybrid Electric Vehicle), PHEV (Parallel Hybrid Electric Vehicle), Plug-in SHEV and plug-in PHEV.

Proposal and Simulation of Optimal Electric Vehicle Routing Algorithm (최적의 전기자동차 라우팅 알고리즘 제안 및 시뮬레이션)

  • Choi, Moonsuk;Choi, Inji;Jang, Minhae;Yoo, Haneul
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.1
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    • pp.59-64
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    • 2020
  • Scheduling of electric vehicles and optimizing for charging waiting time have been critical. Meanwhile, it is challengeable to exploit the fluctuating data from electric vehicles in real-time. We introduce an optimal routing algorithm and a simulator with electric vehicles obeying the Poisson distribution of the observed information about time, space and energy-demand. Electric vehicle routing is updated in every cycle even it is already set. Also, we suggest an electric vehicle routing algorithm for minimizing total trip time, considering a threshold of the waiting time. Total trip time and charging waiting time are decreased 34.3% and 86.4% respectively, compared to the previous algorithm. It can be applied to the information service of charging stations and utilized as a reservation service.

Improvement of the Yaw Motion for Electric Vehicle Using Independent Front Wheel Steering and Four Wheel Driving (독립 전륜 조향 및 4륜 구동을 이용한 전기 차량의 선회 운동 향상)

  • Jang, Jae-Ho;Kim, Chang-Jun;Kim, Sang-Ho;Kang, Min-Sung;Back, Sung-Hoon;Kim, Young-Soo;Han, Chang-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.1
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    • pp.45-55
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    • 2013
  • With the recent advancement of control method and battery technology, the electric vehicle have been researched to replace the conventional vehicle with electric vehicle with the view point of the environmental concerns and energy conservation. An electric vehicle which is equipped with the independent front steering system and in-wheel motors has advantage in terms of control. For example, the different torque which generated by left and right wheels directly can make yaw moment and the independent steering using outer wheel control is able to reduce the sideslip angle. Using of independent steering and driving system, the 4 wheel electric vehicle can improve a performance better than conventional vehicle. In this paper, we consider the method for improving the cornering performance of independent front steering system and in-wheel motor used electric vehicle with the compensated outer wheel angle and direct yaw moment control. Simulation results show that the method can improve the cornering performance of 4 wheel electric vehicle. We also apply the steering motor failure to steer the vehicle turned by the torque difference without steering. This paper describes an independent front steering and driving, consist of three parts; Vehicle Model, Control Algorithm for independent steering and driving and simulation. First, vehicle model is application of TruckSim software for independent front steering and 4 wheel driving. Second, control algorithm describes the reduced sideslip and direct yaw moment method in view of cornering performance. Last is simulation and verification.

DEVELOPMENT OF FUEL CELL HYBRID ELECTRIC VEHICLE PERFORMANCE SIMULATOR

  • Park, C.;Oh, K.;Kim, D.;Kim, H.
    • International Journal of Automotive Technology
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    • v.5 no.4
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    • pp.287-295
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    • 2004
  • A performance simulator for the fuel cell hybrid electric vehicle (FCHEV) is developed to evaluate the potentials of hybridization for fuel cell electric vehicle. Dynamic models of FCHEV's electric powertrain components such as fuel cell stack, battery, traction motor, DC/DC converter, etc. are obtained by modular approach using MATLAB SIMULINK. In addition, a thermodynamic model of the fuel cell is introduced using bondgraph to investigate the temperature effect on the vehicle performance. It is found from the simulation results that the hybridization of fuel cell electric vehicle (FCEV) provides better hydrogen fuel economy especially in the city driving owing to the braking energy recuperation and relatively high efficiency operation of the fuel cell. It is also found from the thermodynamic simulation of the FCEV that the fuel economy and acceleration performance are affected by the temperature due to the relatively low efficiency and reduced output power of the fuel cell stack at low temperature.

Wireless Power Transfer Technology in On-Line Electric Vehicle

  • Ahn, Seung-Young;Chun, Yang-Bae;Cho, Dong-Ho;Kim, Joung-Ho
    • Journal of electromagnetic engineering and science
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    • v.11 no.3
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    • pp.174-182
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    • 2011
  • The On-line Electric Vehicle (OLEV) is an electric transport system in which the vehicle's power is transferred wirelessly from power lines underneath the surface of the road. Advantages of the OLEV include reducing battery size and cost to about 20 percent of that of conventional battery-powered electric vehicles, thereby minimizing the vehicle's weight and price, as well as the cost of charging the system. In this paper, we introduce a wireless power transfer mechanism to maximize the electrical performance of the power transfer system. Power transfer capacity, power transfer efficiency, and magnitude of leakage in the electromagnetic field (EMF) are analyzed, and the optimization methodology of the design parameters is discussed.

Trend of the Recent Technology for the Vehicle with Motor Power Train (최근의 전동기 구동시스템을 가진 자동차의 기술개발 추이)

  • Ha, Hoi-Doo
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1027-1029
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    • 2000
  • Electric vehicle(EV), hybrid electric vehicle(HEV) and fuel cell electric vehicle(FEV) are seen as one way of reducing the harmful effects of traffic and of improving energy efficiency. Therefore the status and developing trend of the EV, HEV and FEV are given in this paper. A major aspect of alternative drive trains is the electric drive train. The automotive aspect in developing electric drive trains is emphasized.

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Gird Connected Modeling of Primary Frequency Recovery Reserve Provided by Electric Vehicle Considering Characteristics of Electric Vehicle Charge/Discharge Control Integrated Environment (전기자동차 충·방전제어 통합 환경을 고려한 전기차 1차 주파수 회복예비력의 계통연계형 모델링)

  • Kook, Kyung Soo;Lee, Jihoon;Moon, Jonghee;Choi, Wooyeong;Park, Kijun;Jang, Dongsik
    • KEPCO Journal on Electric Power and Energy
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    • v.7 no.2
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    • pp.249-254
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    • 2021
  • As the spreading speed of electric vehicles increases rapidly, those are expected to be able to use them as flexible resources in the power system beyond the concern for the supply of its charging power. Especially when the Renewable Energy sources (RES) which have no intrinsic control capability have replaced the synchronous generators more and more, the power system needs to secure the additional frequency control resources to ensure its stability. However, the feasibility of using electric vehicles as the frequency control resources should be analyzed from the perspective of the power system operation and it requires the existing simulation frameworks for the power system. Therefore, this paper proposes the grid connected modeling of the primary frequency control provided by electric vehicles which can be integrated into the existing power system model. In addition, the proposed model is implemented considering technical performances constrained by the characteristics of the Vehicle-Grid Integration (VGI) system so that the simulation results can be accepted by the power utilities operating the power system conservatively.

Developing an In-vehicle Network Education System Based on CAN (CAN을 기본으로한 전기자동차용 차량 네트워크 교육용 시스템 개발)

  • Lee, Byoung-Soo;Park, Min-Kyu;Sung, Kum-Gil
    • Transactions of the Korean Society of Automotive Engineers
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    • v.19 no.4
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    • pp.54-63
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    • 2011
  • An educational network system based on CAN protocol internal to a passenger ground vehicle has been developed. The developed network system has been applied to a commercial plug-in electrical vehicle and verified the educational applicability. To apply this in-vehicle network technology based on CAN, a suitable electric vehicle has been chosen and a CAN network structure has been designed, developed and manufactured. Since the commercial electric vehicle chosen as a test bed has its own proprietary electric network, we explain how the original electric network has been utilized and how the new network system has been designed. The developed network system on a real vehicle has been tested to show the applicability and the performance. Finally, the system has been applied at few classrooms to demonstrate how the in-vehicle network system works and to teach how to analyse the CAN signals. The developed system proven to be effective for educational purpose.

A Study on the Prediction of Power Demand for Electric Vehicles Using Exponential Smoothing Techniques (Exponential Smoothing기법을 이용한 전기자동차 전력 수요량 예측에 관한 연구)

  • Lee, Byung-Hyun;Jung, Se-Jin;Kim, Byung-Sik
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.2
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    • pp.35-42
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    • 2021
  • In order to produce electric vehicle demand forecasting information, which is an important element of the plan to expand charging facilities for electric vehicles, a model for predicting electric vehicle demand was proposed using Exponential Smoothing. In order to establish input data for the model, the monthly power demand of cities and counties was applied as independent variables, monthly electric vehicle charging stations, monthly electric vehicle charging stations, and monthly electric vehicle registration data. To verify the accuracy of the electric vehicle power demand prediction model, we compare the results of the statistical methods Exponential Smoothing (ETS) and ARIMA models with error rates of 12% and 21%, confirming that the ETS presented in this paper is 9% more accurate as electric vehicle power demand prediction models. It is expected that it will be used in terms of operation and management from planning to install charging stations for electric vehicles using this model in the future.