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
- 학위논문
- 저자정보
- 지도교수
- 김진호
- 발행연도
- 2019
- 저작권
- 영남대학교 논문은 저작권에 의해 보호받습니다.
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In this paper, an optimal model of a high efficiency energy harvesting suspension was designed and analyzed for power generation sensitivity under various input conditions. Prior to the optimal design of the linear generator, the three - degree - of - freedom vibration system was modeled on the basis of the structure of the electromagnetic suspension to derive the reciprocating displacement of the suspension. Second, the structure of the initial linear generator model was examined and the amount of power generation was confirmed by
performing electromagnetic simulation using ANSYS MAXWELL software.
Next, the optimal design of the linear generator was performed using the commercial PIDO (Process Integration and Design Optimization) tool PIANO (Process Integration, Automation and Optimization). Experimental design using the orthogonal array table was completed and a kriging model was created using the approximation technique. Based on the generated approximation model, the optimal model was derived by using the evolutionary algorithm. The power generation of the optimal model was verified using commercial electromagnetic software, ANSYS MAXWELL, and the power generation performance was compared with the initial linear generator model.
We also carried out a running test of the vehicle using the Carsim-Simulink linkage analysis to derive the reciprocating motion data of the suspension, and confirmed the reciprocating displacement and damping force of the suspension according to the traveling speed of the vehicle. Finally, the characteristics of the average power generation for the input variables and the sensitivity were analyzed for the road displacement and the vehicle speed.
performing electromagnetic simulation using ANSYS MAXWELL software.
Next, the optimal design of the linear generator was performed using the commercial PIDO (Process Integration and Design Optimization) tool PIANO (Process Integration, Automation and Optimization). Experimental design using the orthogonal array table was completed and a kriging model was created using the approximation technique. Based on the generated approximation model, the optimal model was derived by using the evolutionary algorithm. The power generation of the optimal model was verified using commercial electromagnetic software, ANSYS MAXWELL, and the power generation performance was compared with the initial linear generator model.
We also carried out a running test of the vehicle using the Carsim-Simulink linkage analysis to derive the reciprocating motion data of the suspension, and confirmed the reciprocating displacement and damping force of the suspension according to the traveling speed of the vehicle. Finally, the characteristics of the average power generation for the input variables and the sensitivity were analyzed for the road displacement and the vehicle speed.
목차
제 1 장 서 론 1제 2 장 에너지 하베스팅 현가장치 42.1 에너지 하베스팅 현가장치의 구조 42.2 현가장치의 진동 특성 분석 62.3 선형 발전기의 구조 9제 3 장 선형 발전기 초기 모델 전자기 시뮬레이션 11제 4 장 선형 발전기 최적설계 164.1 설계 변수 및 제약조건 164.2 실험 계획법 174.3 근사화 기법 194.4 진화 알고리즘 20제 5 장 차량 모의 주행시험 235.1 Carsim-Simulink 연동해석 235.2 Carsim 모의 주행시험 24제 6 장 차량 주행조건에 대한 발전량 민감도 분석 27제 7 장 결론 30참 고 문 헌 31Abstract 34
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