Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery
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SCOPUS
- Title
- Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery
- Authors
- Kim, D; Goh, T; Park, M; Kim, SW
- Date Issued
- 2015-11
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Abstract
- 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.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/36185
- DOI
- 10.3390/EN81112327
- ISSN
- 1996-1073
- Article Type
- Article
- Citation
- Energies, vol. 8, no. 11, page. 12409 - 12428, 2015-11
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