Robust Estimation for State-of-Charge and State-of-Health of Lithium-Ion Batteries Using Integral-Type Terminal Sliding-Mode Observers

Feng, Yong; Chen, Xue; Han, Qing‐Long; Han, Fenghui; Du, Jiacheng

doi:10.1109/tie.2019.2916389

Cited by 106 publications

(40 citation statements)

References 27 publications

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“…It can be seen that the position of the DC motor can be controled to track the desired references quickly and accurately. The experimental test was carried out for the observer applying the TSMC techniques as well in [65]. The true value of SoC for a Li-ion battery, its estimation results using the proposed TSMC-based observer and the comparison with the super-twisting algorithm are depicted in Fig.…”

Section: G Comparision Of Different Smc Methodsmentioning

confidence: 99%

Terminal Sliding Mode Control – An Overview

Feng

Man

2021

IEEE Open J. Ind. Electron. Soc.

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177

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Sliding mode control (SMC) has been a very popular control technology due to its simplicity and robustness against uncertainties and disturbances since its inception more than 60 years ago. Its very foundation of stability and stabilization is built on the principle of the Lyapunov theory which ascertains asymptotic stability. In the 1990s, a novel class of SMC, called the terminal sliding mode control (TSMC), was proposed which has been studied and applied extensively, giving rise to a robust control with tunable finite-time convergence delivering fast response, high precision, and strong robustness. In recent years, interest in this particular control technology has been increasing. This paper provides an overview of the state of the art of the TSMC theory and its applications, and postulates key technical issues and future challenges.

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Section: G Comparision Of Different Smc Methodsmentioning

confidence: 99%

Terminal Sliding Mode Control – An Overview

Feng

Man

2021

IEEE Open J. Ind. Electron. Soc.

Self Cite

177

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“…There has been a lot of progress on SoC estimation. For example, Feng et al [35] designed three terminal sliding-mode observers and proposed a set of complete estimation algorithms to investigate the real-time estimation on the SoC charge and state-of-health of lithium-ion batteries in order to achieve reliable, safe, and efficient use of batteries. Ouyang et al [36] proposed a robust recursive least squares algorithm to estimate the SoC of batteries.…”

Section: Storage Control With Consideration Of Soc and Instantaneous mentioning

confidence: 99%

Decentralised coordination control strategy of the PV generator, storage battery and hydrogen production unit in islanded AC microgrid

Zhang

Wei

2020

IET Renewable Power Generation

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The fluctuation and intermittence of the distributed renewable energy sources (RESs) limit the connection to the main grid and cause large-scale power curtailment. This issue can be addressed by the application of a hydrogen production unit (HPU), which is compatible with the disadvantages of RESs and can achieve large-capacity and long-term absorption of the electric energy. A decentralised coordination control strategy among the generation, storage and HPU are proposed in the photovoltaic (PV) dominated islanded AC microgrid. Firstly, the energy conversion efficiency from electric energy to hydrogen energy of HPU is derived, based on which the efficiency adaptive control is proposed to regulate its power consumption by adjusting the efficiency reference according to the bus frequency. Secondly, the state of charge and the instantaneous power of the storage are considered in the control strategy, which can avoid the storage being overused or damaged. Thirdly, the control strategy of the PV generator is designed to adaptively regulate its output power from maximum power point tracking mode to the reference power point mode seamlessly. Finally, the stability of the whole control strategy is analysed and the control effectiveness is verified based on the RTLAB experiment platform.

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“…The Kalman filter (KF) technology has been used to estimate the internal states of rechargeable batteries, however, it applies when the noise is within the system bandwidth [25]. Therefore, they could not provide accurate estimation to the internal state of batteries in the practical environments.…”

Section: Monitoring the State-of-charge Of A Cellmentioning

confidence: 99%

Robust Estimation for State-of-Charge and State-of-Health of Lithium-Ion Batteries Using Integral-Type Terminal Sliding-Mode Observers

Cited by 106 publications

References 27 publications

Terminal Sliding Mode Control – An Overview

Terminal Sliding Mode Control – An Overview

Decentralised coordination control strategy of the PV generator, storage battery and hydrogen production unit in islanded AC microgrid

Secure Management of Networked Batteries for Building Integrated Photovoltaics (BIPV) Systems

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