지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 218 - 223 (6page)
이용수
초록· 키워드
오류제보하기
The limited range of Battery Electric Vehicles (BEV) is a major restraint for their market acceptance. This paper shows that efficiency ? hence range ? increase can be achieved by optimal distribution of driving and braking torque to the electric machines of an EV. Furthermore, a novel strategy for efficient recuperation of kinetic energy during the braking process of a (H)EV based on intelligent sensors is introduced. Both mentioned approaches take a detailed model of the vehicle’s dynamics and powertrain characteristics into account. The strategy is utilized in an Advanced Driver Assistance System, which enables guided anticipatory driving for the driver. It is shown that the proposed semi-automatic process allows increased recuperation capabilities compared to state-of-the-art regenerative braking with torque blending. An improvement of energy regeneration efficiency of 31.7 percentage points compared to a standard serial regenerative braking system is achieved in a typical braking scenario.
목차
Abstract
1. INTRODUCTION
2. RELATED WORK
3. SYSTEM MODEL
4. EFFICIENCY OPTIMIZATION
5. CONCLUDING RESULTS
REFERENCES
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