H∞ Observer Based on Descriptor Systems Applied to Estimate the State of Charge
This paper proposes an H∞ observer based on descriptor systems to estimate the state of charge (SOC). The battery’s open-current voltage is chosen as a generalized state variable, thereby avoiding the artificial derivative calculation of the algebraic equation for the SOC. Furthermore, the observer’...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
LEADER | 01579nam a2200229Ia 4500 | ||
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001 | 0.3390-e24030420 | ||
008 | 220421s2022 CNT 000 0 und d | ||
020 | |a 10994300 (ISSN) | ||
245 | 1 | 0 | |a H∞ Observer Based on Descriptor Systems Applied to Estimate the State of Charge |
260 | 0 | |b MDPI |c 2022 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.3390/e24030420 | ||
520 | 3 | |a This paper proposes an H∞ observer based on descriptor systems to estimate the state of charge (SOC). The battery’s open-current voltage is chosen as a generalized state variable, thereby avoiding the artificial derivative calculation of the algebraic equation for the SOC. Furthermore, the observer’s dynamic performance is saved. To decrease the impacts of the uncertain noise and parameter perturbations, nonlinear H∞ theory is implemented to design the observer. The sufficient conditions for the H∞ observer to guarantee the disturbance suppression performance index are given and proved by the Lyapunov stability theory. This paper systematically gives the design steps of battery SOC H∞ observers. The simulation results highlight the accuracy, transient performance, and robustness of the presented method. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | |
650 | 0 | 4 | |a descriptor systems |
650 | 0 | 4 | |a disturbance suppression performance |
650 | 0 | 4 | |a H∞ observer |
650 | 0 | 4 | |a SOC estimation |
700 | 1 | 0 | |a Chi, H. |e author |
700 | 1 | 0 | |a Li, S. |e author |
700 | 1 | 0 | |a Meng, F. |e author |
700 | 1 | 0 | |a Meng, S. |e author |
700 | 1 | 0 | |a Pang, A. |e author |
773 | |t Entropy |