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
- 224 - 228 (5page)
이용수
초록· 키워드
오류제보하기
The battery greatly influences the performance of the Hybrid Vehicle (HV). So, automobile manufacturers need to evaluate the batteries of various manufacturers and select the most appropriate one. In this case, they need a charge-discharge cycle to evaluate batteries quantitatively. In this paper, we call such a cycle an evaluation pattern and propose a design method of the pattern to evaluate the HV battery quantitatively. HV employs two power sources, motor and engine. In a HV, the appropriate distribution of output torques between the motor and engine is determined based on the driving condition (vehicle speed, acceleration rate, SOC, and so on). That leads to the dependence of the charge-discharge cycle on the driving condition. Therefore, our method divides actual driving data of HV into four driving modes (stopping, acceleration, steady running and deceleration) and then selects a representative pattern for every driving mode effectively by using regression analysis. As a result, we can narrow down the actual driving data that to a few representative patterns. The evaluation pattern is designed by combining the representative patterns. In addition, the quantitative evaluation pattern can be designed in a short time.
목차
Abstract
1. INTRODUCTION
2. PROPOSED METHOD
3. RESULT OF THE VERIFICATION
4. GUI PROGRAM
5. CONCLUSION
REFERENCES
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