확산 및 히스테리시스 현상을 고려한 확장칼만필터를 이용한 새로운 납축전지의 충전상태 추정방법Novel Estimation Technique for the State-of-Charge of the Lead-Acid Battery by using EKF Considering Diffusion and Hysteresis Phenomenon
- Other Titles
- Novel Estimation Technique for the State-of-Charge of the Lead-Acid Battery by using EKF Considering Diffusion and Hysteresis Phenomenon
- Authors
- 덩반환; 트란녹탐; 박용진; 최우진
- Issue Date
- Apr-2014
- Publisher
- 전력전자학회
- Keywords
- extended Kalman filter; state-of charge estimation; hysteresis effect; diffusion effect; idle start-stop
- Citation
- 전력전자학회 논문지, v.19, no.2, pp.139 - 148
- Journal Title
- 전력전자학회 논문지
- Volume
- 19
- Number
- 2
- Start Page
- 139
- End Page
- 148
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10485
- DOI
- 10.6113/TKPE.2014.19.2.139
- ISSN
- 1229-2214
- Abstract
- State-of-charge (SOC) is one of the significant indicators to estimate the driving range of the electric vehicle and to control the alternator of the conventional engine vehicles as well. Therefore its precise estimation is crucial not only for utilizing the energy effectively but also preventing critical situations happening to the power train and lengthening the lifetime of the battery. However, lead-acid battery is time-variant, highly nonlinear, and the hysteresis phenomenon causes large errors in estimation SOC of the battery especially under the frequent discharge/charge. This paper proposes a novel estimation technique for the SOC of the Lead-Acid battery by using a well-known Extended Kalman Filter (EKF) and an electrical equivalent circuit model of the Lead-Acid battery considering diffusion and hysteresis characteristics. The diffusion is considered by the reconstruction of the open circuit voltage decay depending on the rest time and the hysteresis effect is modeled by calculating the normalized integration of the charge throughput during the partial cycle. The validity of the proposed algorithm is verified through the experiments.
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