• Journal of Power Electronics
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• 제11권4호
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• pp.479-489
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• 2011

The bidirectional dc-dc converter, being the interface between Energy Storage Element (ESE) and DC bus, is an essential component of the power management system for vehicle applications including electric vehicle (EV), hybrid electric vehicle (HEV), and fuel cell vehicle (FCV). In this paper, a novel multiphase bidirectional dc-dc converter interfacing with battery to supply and absorb the electric energy in the FCV system was studied with the help of real time digital simulator (RTDS). The mathematical models of fuel cell, battery and dc-dc converter were derived. A power management strategy was developed and first simulated in RTDS. A Power Hardware-In-the-Loop (PHIL) simulation using RTDS is then presented. The main challenge of this PHIL is the requirement for a highly dynamic bidirectional Simulation-Stimulation (Sim-Stim) interface. This paper describes three different interface algorithms. The closed-loop stability of the resulting PHIL system is analyzed in terms of time delay and sampling rate. A prototype bidirectional Sim-Stim interface is designed to implement the PHIL simulation.

• ETRI Journal
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• 제37권2호
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• pp.273-282
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• 2015

Vehicle-to-grid presents a mechanism to meet the key requirements of an electric power system, using electric vehicles (EVs) when they are parked. The most economic ancillary service is that of frequency regulation, which imposes some constraints regarding the period and duration of time the vehicles have to be connected to the grid. The majority of research explores the profitability of the aggregator, while the perspective of the EV fleet owner, in terms of their need for usage of their fleet, remains neglected. In this paper, the optimal allocation of available vehicles on a day-ahead basis using queuing theory and fuzzy multi-criteria methodology has been determined. The proposed methodology is illustrated on the daily scheduling of EVs in an electricity distribution company.

• 조명전기설비학회논문지
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• 제29권4호
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• pp.85-94
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• 2015

Recently, research on the smart grid that combines ICT(Information & Communication technology) to the power system has been actively progressed. If the occupancy of the EV(Electric vehicle) is increased. the V2G(Vehicle to grid) system is available which constitutes the micro-grid through battery of EV. V2G system performs load leveling and efficient energy consumption by battery operation considering load condition. But, if the battery is used only depending on the electricity rates, it doses not consider the life of the battery. The ACC(Achievable cycle) and the total transferable energy of battery varies corresponding to the selected DOD(Depth of discharge). In this paper, the optimal DOD selection method of V2G system considering battery wear cost and average driving distance of EV. Also, the total revenue prediction of various nation is presented considering the actual electricity costs per hour.

• 대한기계학회논문집B
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• 제37권8호
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• pp.775-780
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• 2013

일반적으로 전기자동차(Electric Vehicle, EV)의 배터리로는 리튬-이온 전지가 많이 사용된다. 리튬-이온 전지는 충전이 가능한 이차 전지의 일종으로 마이크로 스케일의 극판과 분리막이 반복하여 적층된 구조를 가지고 있다. 이와 같은 미세구조로 인해 상세해석모형을 적용하는 것은 지나치게 많은 비용이 소모되는 일이다. 본 연구에서는 리튬-이온 전지를 하나의 등가물성으로 나타내는 방법을 제시하고 있으며, 185.3Ah 전지와 20Ah 전지에 이를 적용하여 그 결과를 이전자료와 비교하고 있다. 또한 집중용량법을 적용한 계산 결과를 함께 제시하여 유한요소법(FEM)이나 유한체적법(FVM)의 사용 없이 손쉽게 전지의 열적 거동을 확인할 수 있는 방법을 제시하였다.

• 한국전기전자재료학회논문지
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• 제31권6호
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• pp.422-426
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• 2018

The lithium-ion battery pack of an electric vehicle (EV) deserves to be considered for an alternative use within smart-grid infrastructure. Despite the long automotive service life, EV batteries retain over 70~80% of their initial capacity. These battery packs must be managed for their reliability and safety. Therefore, a battery management system (BMS) should use specific algorithms to measure and estimate the status of the battery. Most importantly, the BMS of a grid-connected energy storage system (ESS) must ensure that the lithium-ion battery does not catch fire or explode due to an internal short from uncontrolled dendrite growth. In other words, the BMS of a lithium-ion battery pack should be capable of detecting the battery's status based on the electrochemical reaction continuously until the end of the battery's lifespan. In this paper, we propose a new protection algorithm for a dendritic lithium battery. The proposed algorithm has applied a parameter from battery pack aging results and has control power managing.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.203-204
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• 2011

There is a growing interest on Electric Vehicles due to global warming and greenhouse gas emission issue. Recently, new technologies of EV fast charging are continually being developed and power supply infrastructure technologies are being developed widely. In general, the fast charging system consists of AC-DC converter, DC-DC converter, and filters. This paper performs modeling of Electric Vehicle fast charging system using EMTP(Electromagnetic transient program).

• 전력전자학회:학술대회논문집
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• 전력전자학회 2010년도 하계학술대회 논문집
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• pp.73-74
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• 2010

In this paper, Around the world for electric vehicles are gaining attention and market trends to domestic and foreign policy. Current charging method developed techniques are discussed and is proposed for domestic situations and charging ways. The electric vehicle is emerging as a result of the energy efficiency issue, the combined battery and capacitor switching is proposed to use to offset the disadvantages of each method to improve the energy efficiency offers.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.236-241
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• 2024

Due to the recent emphasis on carbon neutrality and environmental regulations, the global electric vehicle (EV) market is experiencing rapid growth. This surge has raised concerns about the recycling and disposal methods for EV batteries. Unlike traditional internal combustion engine vehicles, EVs require unique and safe methods for the recovery and disposal of their batteries. In this process, predicting the lifespan of the battery is essential. Impedance and State of Charge (SOC) analysis are commonly used methods for this purpose. However, predicting the lifespan of batteries with complex chemical characteristics through electrical measurements presents significant challenges. To enhance the accuracy and precision of existing measurement methods, this paper proposes using a Long Short-Term Memory (LSTM) model, a type of deep learning-based recurrent neural network, to diagnose battery performance. The goal is to achieve safe classification through this model. The designed structure was evaluated, yielding results with a Mean Absolute Error (MAE) of 0.8451, a Root Mean Square Error (RMSE) of 1.3448, and an accuracy of 0.984, demonstrating excellent performance.

• Journal of Electrical Engineering and Technology
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• 제11권3호
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• pp.639-643
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• 2016

This paper introduces the development process and investigation of a 60kW induction motor for electric vehicles. We present performance improvement in the induction motor of electric vehicle using copper die-casting based on a multi-gate process. Copper die-casting motors can reduce the size of the motor, the loss of the rotor, and material costs. We also introduce electromagnetic, thermal, mechanical design and analysis results that satisfy the design and the performance requirements. In order to analyze losses accurately of induction motor, commercial finite element analysis is done considering PWM voltage and thermal characteristics by using lumped-circuit parameters. Experimental tests are also carried out to validate the traction motor design.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2013년도 추계학술대회 논문집
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• pp.35-36
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• 2013

본 논문은 EV(Electric Vehicle)에 사용되는 배터리의 충/방전 전류에 따른 SOC(State of Charge) 및 전압특성을 Matlab Simulink로 구현하였으며, 검증을 위해 양방향 DC-DC 컨버터를 설계하여 실험을 하였다. 배터리 모델에 사용된 파라미터는 Randles등가회로를 기반으로 펄스방전을 통해 추출하였고, 단자전압 계산부에 3D Look-up 테이블을 이용해 적용하였다. SOC계산부는 전류에 따른 용량변화를 보상하기 위해 Peukert Effect를 적용하였으며, FTP-75 전류패턴으로 온도($0^{\circ}C$, $25^{\circ}C$, $40^{\circ}C$)에 따라 실험한 결과 시뮬레이션의 오차율은 5%로 높은 정확도를 갖는 것을 확인을 통해 검증 하였다.