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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
- 발행연도
- 2024.10
- 수록면
- 20 - 31 (12page)
- DOI
- 10.9726/kspse.2024.28.5.020
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초록· 키워드
오류제보하기
In recent decades, the global energy crisis and environmental contamination have escalated due to rising electricity consumption and the proliferation of fuel-dependent vehicles, which are major contributors to greenhouse gas emissions. Electric Vehicles (EVs) have emerged as a key solution to mitigate these challenges, offering a pathway to reduce both emissions and reliance on fossil fuels. This review examines the evolution and current state of electric motor control technologies, focusing on three primary techniques: Field-Oriented Control (FOC), Direct Torque Control (DTC), and Model Predictive Control (MPC). While FOC remains widely adopted due to its proven efficiency and smooth operation, recent advancements in MPC suggest potential for superior dynamic performance, albeit with increased computational complexity and time requirements. DTC, known for its simple design and rapid response, faces limitations such as torque ripple and variable switching frequency. Our analysis highlights that, although MPC offers promising advantages in control flexibility and accuracy, FOC continues to be the most practical choice for electric vehicle motor control systems due to its balance of performance, reliability, and ease of implementation. This review underscores the need for further research to optimize MPC and DTC techniques to fully realize their potential in EV applications, particularly in enhancing energy efficiency and extending component lifespan.
목차
Abstract
1. Introduction
2. Classification & Features of Electric Vehicle Traction Motor
3. Technologies For Motor Control
4. Conclusions
References
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