A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer

In this study, the problem of observer-based adaptive sliding mode control is discussed for nonlinear systems with sensor and actuator faults. The time-varying actuator degradation factor and external disturbance are considered in the system simultaneously. In this study, the original system is described as a new normal system by combining the state vector, sensor faults, and external disturbance into a new state vector. For the augmented system, a new sliding mode observer is designed, where a discontinuous term is introduced such that the effects of sensor and actuator faults and external disturbance will be eliminated. In addition, based on a tricky design of the observer, the time-varying actuator degradation factor term is developed in the error system. On the basis of the state estimation, an integral-type adaptive fuzzy sliding mode controller is constructed to ensure the stability of the closed-loop system. Finally, the effectiveness of the proposed control methods can be illustrated with a numerical example.

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A Novel Sliding Mode Observer for State of Charge Estimation of EV Lithium Batteries

Journal of Power Electronics ◽

10.6113/jpe.2016.16.3.1131 ◽

2016 ◽

Vol 16 (3) ◽

pp. 1131-1140 ◽

Cited By ~ 9

Author(s):

Qiaoyan Chen ◽

Jiuchun Jiang ◽

Sijia Liu ◽

Caiping Zhang

Keyword(s):

Lithium Batteries ◽

Sliding Mode ◽

Sliding Mode Observer ◽

State Of Charge ◽

State Of Charge Estimation

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Adaptive Fuzzy Fault-Tolerant Control against Time-Varying Faults via a New Sliding Mode Observer Method

10.20944/preprints202107.0498.v1 ◽

2021 ◽

Author(s):

Yi Zhang ◽

Yingying Nie ◽

Zhiyuan Dong ◽

Liheng Chen

Keyword(s):

State Vector ◽

Sliding Mode ◽

External Disturbance ◽

The State ◽

Sliding Mode Observer ◽

Time Varying ◽

Actuator Faults ◽

Adaptive Fuzzy ◽

Degradation Factor ◽

Actuator Degradation

In this paper, the problem of observer-based adaptive sliding mode control is discussed for nonlinear systems with sensor and actuator faults. The time-varying actuator degradation factor and external disturbance are considered in the system simultaneously. In this study, the original system is described as a new normal system by combining the state vector, sensor faults and external disturbance into a new state vector. For the augmented system, a new sliding mode observer is designed, where a discontinuous term is introduced such that the effects of sensor and actuator faults and external disturbance will be eliminated. In addition, based on a tricky design of the observer, the time-varying actuator degradation factor term is developed in the error system. On the basis of the state estimation, an integral-type adaptive fuzzy sliding mode controller is constructed to ensure the stability of the closed-loop system. Finally, the effectiveness of the proposed control methods can be illustrated with a numerical example.

Download Full-text