전력전자학회논문지 (The Transactions of the Korean Institute of Power Electronics)

  • 제19권2호
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  • Pages.139-148
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  • 2014
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  • 1229-2214(pISSN)
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  • 2288-6281(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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확산 및 히스테리시스 현상을 고려한 확장칼만필터를 이용한 새로운 납축전지의 충전상태 추정방법

Novel Estimation Technique for the State-of-Charge of the Lead-Acid Battery by using EKF Considering Diffusion and Hysteresis Phenomenon

  • 투고 : 2013.08.07
  • 심사 : 2014.01.21
  • 발행 : 2014.04.20
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초록

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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참고문헌

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피인용 문헌

  1. Development of the Real-Time Remote Battery Inspection System vol.21, pp.1, 2016, https://doi.org/10.6113/TKPE.2016.21.1.72
  2. State of Charge and State of Health Estimation of AGM VRLA Batteries by Employing a Dual Extended Kalman Filter and an ARX Model for Online Parameter Estimation vol.10, pp.1, 2017, https://doi.org/10.3390/en10010137
  3. Online state of charge and model parameters estimation of the LiFePO 4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares vol.296, 2015, https://doi.org/10.1016/j.jpowsour.2015.07.041
  4. A Hybrid Current Mode Controller with Fast Response Characteristics for Super Capacitor Applications vol.8, pp.1, 2019, https://doi.org/10.3390/electronics8010112