Estimation of Open Voltage and Residual Values for Pb Battery by Adaptive Digital Filter

Matsumura, Shigenori; Ishikawa, Fumihiko; Higasa, Hiromasa; Omatu, Sigeru; Marui, Takao; Nakayama, Akifumi

doi:10.1541/ieejeiss1987.112.4_259

Cited by 2 publications

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“…The adaptive digital filter (ADF) method applied to lead-acid batteries by Matsumura and colleagues [5] and applied to lithium-ion batteries by Yumoto and colleagues [6] is one such method. In an attempt to overcome them, various types of model-based approaches have been proposed.…”

Section: State Of the Art Of Soc Estimationmentioning

confidence: 99%

“…In an attempt to overcome them, various types of model-based approaches have been proposed. The adaptive digital filter (ADF) method applied to lead-acid batteries by Matsumura and colleagues [5] and applied to lithium-ion batteries by Yumoto and colleagues [6] is one such method. In particular, Yumoto and colleagues successfully applied the ADF method to a linear time-varying (LTV) battery model to estimate the time-varying parameters.…”

Section: State Of the Art Of Soc Estimationmentioning

confidence: 99%

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SOC Estimation of HEV/EV Battery Using Series Kalman Filter

Baba

Adachi²

2014

Electrical Engineering Japan

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This paper proposes a method of accurately estimating the state of charge (SOC) of rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEVs) and electric vehicles (EVs). Despite the importance of accurately estimating the SOC of batteries to achieve maximum efficiency and safety, no method thus far has been able to do so. This paper focuses on the simplification of a battery model, estimation of time-varying battery parameters, and estimation of SOC in the presence of measurement noise. To address these three issues, a model-based approach that uses a cascaded combination of two Kalman filters, "series Kalman filters," is proposed and implemented. This approach is verified by performing a series of simulations in an HEV operating environment. The ultimate goal is to design a state estimator capable of accurately estimating the state of any kind of batteries under every possible user condition. C⃝ 2014 Wiley Periodicals, Inc. Electr Eng Jpn, 187(2): 53-62, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com).

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Section: State Of the Art Of Soc Estimationmentioning

confidence: 99%

Section: State Of the Art Of Soc Estimationmentioning

confidence: 99%