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Research in Estimation of Temperature for Power Battery Based on Back Propagation Neural Network
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- 발행기관
- 보안공학연구지원센터(IJSH) 바로가기
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- 간행물
- International Journal of Smart Home 바로가기
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- 통권
- Vol.7 No.3 (2013.05)바로가기
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- 페이지
- pp.283-292
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A204639
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In dealing with the increment in environment pollution and source consumption, research has focused on the application of renewable energy source. Batteries, especially power batteries, which has great prospects in the fields, are among the attention. Rechargeable batteries are widely used in many electrical systems to store and deliver energy. However, there is a wide variety of Power Batteries and they have different weak Points. In order to develop and apply battery in a more efficient and appropriate method, their response to various operating conditions must be understood. Knowing the battery temperature variation in electric vehicles (EVs) is very important issue. Temperature depends on ambient temperature, charging current and charging time. Recently neural networks have been successful used for power system applications. In the literature, there are many neural networks for power system applications. However, Back Propagation (BP) has demonstrated better capabilities. This paper presents neural network for temperature estimation of power batteries. The main contribution of this paper is consideration of non-uniform temperature field and the temperature effect in batteries. In addition, the results of estimation and actual measured values are compared, proving the feasibility and accuracy of the method.
목차
Abstract
1. Introduction
2. Acquisition and Processing of Experimental Data
3. Establish, Test and Examine the Neural Network
4. Analyze the Testing Result and Predict the Temperature
4.1. Matlab provides function used for further analysis on the results of network training
4.2. Simulate the output of the network with function
4.3. Analysis of the results
5. Conclusions
Acknowledgements
References
키워드
Power batteries Neural Network BP저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Smart Home
- 간기
- 격월간
- pISSN
- 1975-4094
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.7 No.3
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