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Open AccessArticle

Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery

1
Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 790-784, Korea
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Department of Creative IT Excellence Engineering and Future IT Innovation Laboratory, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 790-784, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Sheng S. Zhang
Energies 2015, 8(11), 12409-12428; https://doi.org/10.3390/en81112327
Received: 17 August 2015 / Revised: 5 October 2015 / Accepted: 27 October 2015 / Published: 3 November 2015
We propose a state-of-charge (SOC) estimation method for Li-ion batteries that combines a fuzzy sliding mode observer (FSMO) with grey prediction. Unlike the existing methods based on a conventional first-order sliding mode observer (SMO) and an adaptive gain SMO, the proposed method eliminates chattering in SOC estimation. In this method, which uses a fuzzy inference system, the gains of the SMO are adjusted according to the predicted future error and present estimation error of the terminal voltage. To forecast the future error value, a one-step-ahead terminal voltage prediction is obtained using a grey predictor. The proposed estimation method is validated through two types of discharge tests (a pulse discharge test and a random discharge test). The SOC estimation results are compared to the results of the conventional first-order SMO-based and the adaptive gain SMO-based methods. The experimental results show that the proposed method not only reduces chattering, but also improves estimation accuracy. View Full-Text
Keywords: lithium-ion battery; state-of-charge (SOC); fuzzy sliding mode observer (FSMO); grey prediction lithium-ion battery; state-of-charge (SOC); fuzzy sliding mode observer (FSMO); grey prediction
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Kim, D.; Goh, T.; Park, M.; Kim, S.W. Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery. Energies 2015, 8, 12409-12428.

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