• Electronics and Telecommunications Trends
• /
• v.27 no.6
• /
• pp.155-164
• /
• 2012

플러그인 하이브리드카(Plug-in Hybrid Electric Vehicle: PHEV)는 가정이나 건물의 전기를 이용하여 외부에서 충전한 배터리의 전기동력으로 주행하다가 배터리 방전 시 일반 하이브리드카처럼 내연기관 엔진과 배터리의 전기동력을 동시에 사용하여 운행하는 자동차이다. 자동차 업체들은 전기자동차 보급에 가장 큰 걸림돌인 높은 배터리 가격이 낮아진다고 해도 짧은 주행거리 문제가 해결되지 않기 때문에, 대안으로 전원을 직접 연결해 배터리를 충전할 수 있는 플러그인 하이브리드카 개발에 주력하고 있다.

• Journal of Platform Technology
• /
• v.11 no.2
• /
• pp.54-65
• /
• 2023

Due to the nature of electric vehicles, the batteries used for electric vehicles have a very large rated capacity. If an electric vehicle runs for a long time or an electric vehicle is abandoned due to a traffic accident, the electric vehicle battery becomes a waste battery. Even in vehicles that are being abandoned, the remaining capacity of waste batteries for electric vehicles is sufficient for other purposes. Waste batteries for automobiles are very expensive, so they need to be recycled and reused, but there was a problem that the standards for measuring the performance grade of waste batteries for recycling and reuse were insufficient. As a method for measuring the remaining capacity of waste battery, the most stable and reliable method is to measure the remaining capacity of battery using full charge and discharge. However, the inspection method by the full charging and discharging method varies depending on the capacity of the battery, but it takes more than a day to inspect, and many people are making great efforts to solve this problem. In this paper, an electric vehicle battery residual capacity analysis technique using voltage deviation between cells was studied and analyzed as a method to reduce inspection time for electric vehicle batteries. To this end, a full charging and discharging-based capacity measurement system was constructed, experimental data were collected using a nose or waste battery, and the correlation between the voltage deviation and the remaining capacity of the battery pack was analyzed to verify whether it can be used for battery inspection.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.12 no.4
• /
• pp.95-104
• /
• 2013

As global warming and depletion of fossil fuel are considered as urgent problems, the development of electric vehicle (EV) is getting more attention by automobile industry. However, the wide adoption of EVs is not coming yet, because of many issues such as long recharging time and high cost of batteries etc. As an alternative solution to the conventional battery charging EV, the idea of battery exchanging EV is introduced. To realize the battery exchanging business model, one should solve the issues of ownership and reliability of battery. To address such issues, the concept of battery sharing should be considered together with good traceability system. In this study, we studied RFID code structure to provide better visibility and traceability for shared EV batteries. The proposed RFID code and code generation system is based on GRAI-96 of EPCglobal and included factors such as chemical, physical, and manufacturing features. The designed code can be also used as the ID of each battery.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.3
• /
• pp.67-77
• /
• 2024

Increasing energy efficiency in factories is an activity aimed at optimizing resource allocation in manufacturing processes to establish production plans. However, this strategy may not apply effectively when night shifts are unavoidable. Additionally, continuous fluctuations in production requirements pose challenges for its implementation in the factory. Recently, with the rapid proliferation of electric vehicles (EVs), technology utilizing electric vehicle batteries as energy storage systems has gained attention. Technology using these batteries can be an alternative for factory energy management. In this paper, a factory energy management method using EV batteries is proposed. The proposed method is analyzed using PSCAD/EMTDC software, considering the state of charge of EV batteries and Time-of-Use (TOU) rates. The proposed method was compared with production scheduling established considering predicted power usage and TOU rates. As a result, production scheduling saved 4,152 KRW per day, while the proposed method saved 7,286 KRW in electricity costs. Through this paper, the possibility of utilizing EV batteries for factory energy management has been demonstrated.

• Proceedings of the KIPE Conference
• /
• 2020.08a
• /
• pp.49-51
• /
• 2020

본 논문에서는 전기자동차 급속 충전 시 배터리 팩의 온도 모사를 위한 열 모델링 기법을 제안한다. 배터리 등가 회로 모델을 기반으로 배터리 팩 내부 발열량을 계산하고, 배터리 열 모델 구성을 위한 파라미터 추출 실험 방안을 제안하다. 또한, 전기자동차 방열 시스템의 영향 등으로 인한 발열량 변화를 실시간으로 보정하여 온도 모사 정확도를 개선한다. 열 모델링 기법의 유효성 검증을 위하여 전기자동차용 배터리 팩 기반의 시뮬레이션 및 실험을 진행한다.

• Journal of Energy Engineering
• /
• v.21 no.1
• /
• pp.86-108
• /
• 2012

$CO_2$ reduction, energy security, and emission reduction are the critical issues in the current automotive industry. As one of the solutions to these issues, Battery Electric Vehicle is attracting attention recently. Advanced battery electric drive vehicle require batteries, power electronics and electrical machines to function. These devices allow the vehicle to use energy from the battery to assist in the propulsion of the vehicle. In this paper, the main feature of these technologies are briefly introduced and recent trends of patent applications are described.

• Electronics and Telecommunications Trends
• /
• v.27 no.3
• /
• pp.186-195
• /
• 2012

전기자동차는 석유 연료와 엔진을 사용하지 않고, 전기 배터리와 전기모터를 사용하는 자동차이다. 그동안 전기자동차는 가솔린 자동차보다 오랜 역사를 갖고 있었으나 배터리 중량, 충전 시간 등의 문제로 인해 실용화되지 못했다. 그러나 최근 들어 경제성과 친환경성을 만족시키면서 GM, 르노 등을 중심으로 전기자동차가 시판되고 있고, 국내에서도 활발히 개발되고 있다. 본고에서는 미국, 일본, 유럽, 중국과 국내의 전기자동차 관련 정책을 살펴보고 정책적 시사점을 도출하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.12 no.1
• /
• pp.121-135
• /
• 2013

This paper propose an efficient algorithm for selecting electric bus charging facility location. In nature, the optimal charging facility location problem is similar to Set Covering Problem. Set Covering Problem is the problem of covering all the rows of an $m{\times}n$ matrix of ones and zeros by a subset of columns with a minimal cost. It has many practical applications of modeling of real world problems. The Set Covering Problem has been proven to be NP-Complete. In order to overcome the computational complexity involved in seeking optimal solutions, this paper present an enhanced greedy algorithm and simulated annealing algorithm. In this paper, we apply the developed algorithm to Seoul's public bus system.

• Journal of Energy Engineering
• /
• v.19 no.2
• /
• pp.92-102
• /
• 2010

Plug-in hybrid electric vehicle(PHEV) is a hybrid electric vehicle (HEV) with more added battery capacity that can be recharged from the electric power grid. Plug-in battery electric vehicle(PBEV) is a pure electric vehicle that uses only electric motor using electricity from battery that recharged from the power grid. PHEV and PBEV requires recharging of batteries in the vehicles from electric power grid. Recently, PHEVs and PBEV are being developed around the world. It is important to understand how these electric vehicles affect power demands and carbon dioxide emissions. From vehicle customer viewpoint, running energy cost will be imporatnt factor to consider. This paper analyzes the potential impacts of PHEVs and PBEVs on electric power demand, and associated CO2 emissions in 2020 with an projection that the vehicles will be penetrated with 10% market share. Energy costs for the vehicles are also calculated and compared with the conventional combustion vehicle.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06c
• /
• pp.292-294
• /
• 2011

전기자동차에 대한 연구가 진행됨에 따라 동력원으로 사용되는 대용량 리튬-폴리머 배터리의 운용과 관리에 대한 관심이 증가하고 있다. 다중 셀로 구성된 대용량 리튬-폴리머 배터리는 물리적 화학적 특성에 따라 충전시 셀간 전압 격차가 발생하게 된다. 셀간 전압차는 배터리 용량, 수명, 안정성에 부정적 영향을 주게 된다. 기존 연구들은 각 셀의 특성을 고려하지 않고 충전 결과를 바탕으로 동일한 밸런싱 방법을 적용시킴으로 효율성을 떨어트린다. 본 논문에서는 진화 신경망 기반의 지능형 셀 밸런싱 시스템을 제안한다. 배터리의 특성을 진화 신경망을 통해 학습시킴으로 각 셀 충전시 저항의 크기를 결정한다. 이를 통해 각 셀 특성을 고려한 사전 셀 밸런싱을 수행하였다. 제안하는 방법의 유용성을 입증하기 위해 카이스트 온라인 전기자동차에 장착 예정인 배터리 관리 시스템 기반 시뮬레이션을 수행하여 효과적인 셀 밸런싱이 가능함을 보였다.