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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.6 No.1
- 발행연도
- 2011.1
- 수록면
- 67 - 75 (9page)
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초록· 키워드
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The development of electric vehicle power electronics system control, composed of DC-AC inverters and DC-DC converters, attract much research interest in the modern industry. A DC-AC inverter supplies the high-power motor torques of the propulsion system and utility loads of electric vehicles, whereas a DC-DC converter supplies the conventional low-power and low-voltage loads. However, the need for high-power bidirectional DC-DC converters in future electric vehicles has led to the development of many new topologies of DC-DC converters. The nonlinear control of power converters is an active research area in the field of power electronics. This paper focuses on the use of the fuzzy sliding mode strategy as a control strategy for buck-boost DC-DC converter power supplies in electric vehicles. The proposed fuzzy controller specifies changes in control signals based on the surface and knowledge on surface changes to satisfy the sliding mode stability and attraction conditions. The performance of the proposed fuzzy sliding controller is compared to that of the classical sliding mode controller. The satisfactory simulation results show the efficiency of the proposed control law, which reduces the chattering phenomenon. Moreover, the obtained results prove the robustness of the proposed control law against variations in load resistance and input voltage in the studied converter.
목차
Abstract
1. Introduction
2. Buck-Boost DC-DC Converter for Electric Vehicles
3. Sliding Mode Control Design
4. Fuzzy Sliding Mode Strategy Design
5. Simulation Results
6. Conclusion
References
참고문헌 (28)
참고문헌 신청
J. Moreno / 2006 / Energy management system for an electric vehicle, using ultracapacitors and neural networks / IEEE Trans. Ind. Electron 53(2):614~623
M. Salman / 2005 / Predictive energy management strategies for hybrid vehicles / IEEE VPPC 7:21~25
J. Larminie / 2003 / Electric Vehicle Technology Explained / Edited by John Wiley and John Lowry
R.F. Nelson / 2000 / Power requirements for battery in HEVs / J. Power Sources :2~26
M. Rashid / 2007 / Power Electronics Handbook / Elsevier Press
M. Salman / 2005 / Predictive energy management strategies for hybrid vehicles / IEEE VPPC 7:21~25
J. Larminie / 2003 / Electric Vehicle Technology Explained / Edited by John Wiley and John Lowry
R.F. Nelson / 2000 / Power requirements for battery in HEVs / J. Power Sources :2~26
M. Rashid / 2007 / Power Electronics Handbook / Elsevier Press
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