• Title/Summary/Keyword: EV Charger Design

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Extremely high efficiency wireless power transfer system for EV charger (전기자동차 충전을 위한 고효율 무선전력전송 시스템)

  • Moon, SangCheol;Moon, Gun-Woo
    • Proceedings of the KIPE Conference
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    • 2015.07a
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    • pp.155-156
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    • 2015
  • This paper proposes a high efficiency wireless power transfer system with an asymmetric 4-coil resonator. It presents a theoretical analysis, an optimal design method, and experimental results. In the proposed asymmetric 4-coil system, the primary side consists of a source coil and two transmitter coils which are called intermediate coils, and in the secondary side, a load coil serves as a receiver coil. In the primary side, two intermediate coils boost the apparent coupling coefficient at around the operating frequency. Because of this double boosting effect, the system with an asymmetric 4-coil resonator has a higher efficiency than the conventional symmetric 4-coil system. The prototype operates at 90 kHz ofswitching frequency and has 200 mm of the power transmission distance between the primary side and the secondary side. An AC-DC overall system efficiency of 96.56% has been achieved at 3.3 kW of output power.

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Design of DC-link Voltage for High Efficiency of Wired/Wireless Integrated EV Charger Sharing DC-DC converter (DC-DC 컨버터 공유형 고효율 전기자동차 유·무선 통합 충전 시스템의 DC-link 전압 설계)

  • Sim, Dong Hyeon;Lee, Ju-A;Son, Won-Jin;Ann, Sangjoon;Byun, Jongeun;Lee, Byoung Kuk
    • Proceedings of the KIPE Conference
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    • 2020.08a
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    • pp.184-186
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    • 2020
  • 본 논문은 전기 자동차의 DC-DC 컨버터 공유형 유·무선통합 충전 시스템의 고효율 동작을 고려한 최적의 DC-link 전압을 설계한다. DC-DC 컨버터의 입력 DC-link 전압 크기에 따라 유·무선 충전 방식 간 효율 특성이 상이하므로 DC-link 전압 크기별 유·무선 충전 시스템의 손실 분석을 진행한다. 손실 분석 결과를 바탕으로 유·무선 통합 충전 시스템의 고효율 동작을 위한 최적 DC-link 전압을 제안한다.

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A Study on EV Charging Scheme Using Load Control

  • Go, Hyo-Sang;Cho, In-Ho;Kim, Gil-Dong;Kim, Chul-Hwan
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.1789-1797
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    • 2017
  • It is necessary to charge electric vehicles in order to drive them. Thus, it is essential to have electric vehicle charging facilities in place. In the case of a household battery charger, the power similar to that consumed by a household with a basic contract power of 3kW is consumed. In addition, many consumers who own an electric vehicle will charge their vehicles at the same time. The simultaneous charging of electric vehicles will cause the load to increase, which then will lead to the imbalance of supply and demand in the distribution system. Thus, a smart charging scheme for electric vehicles is an essential element. In this paper, simulated conditions were set up using real data relating to Korea in order to design a smart charging technique suitable for the actual situation. The simulated conditions were used to present a smart charging technique for electric vehicles that disperses electric vehicles being charged simultaneously. The EVs and Smart Charging Technique are modeled using the Electro Magnetic Transients Program (EMTP).

Optimal Supply Calculation of Electric Vehicle Slow Chargers Considering Charging Demand Based on Driving Distance (주행거리 기반 충전 수요를 고려한 전기자동차 완속 충전기 최적 공급량 산출)

  • Gimin Roh;Sujae Kim;Sangho Choo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.142-156
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    • 2024
  • The transition to electric vehicles is a crucial step toward achieving carbon neutrality in the transportation sector. Adequate charging infrastructure at residential locations is essential. In South Korea, the predominant form of housing is multifamily dwellings, necessitating the provision of public charging stations for numerous residents. Although the government mandates the availability of charging facilities and designated parking areas for electric vehicles, it bases the supply of charging stations solely on the number of parking spaces. Slow chargers, mainly 3.5kW charging outlets and 7kW slow chargers, are commonly used. While the former is advantageous for installation and use, its slower charging speed necessitates the coexistence of both types of chargers. This study presents an optimization model that allocates chargers capable of meeting charging demands based on daily driving distances. Furthermore, using the metaheuristic algorithm Tabu Search, this model satisfies the optimization requirements and minimizes the costs associated with charger supply and usage. To conduct a case study, data from personal travel surveys were used to estimate the driving distances, and a hypothetical charging scenario and environment were set up to determine the optimal supply of 22 units of 3.5kW charging outlets for the charging demands of 100 BEVs.