Relay approach for parameter extraction of li-ion battery and SOC estimation using finite time observer

Nizami, Tousif Khan; Yanumula, Venkata Karteek; Chakravarty, Arghya; Alam, Nawab; Nayak, Sisir Kumar

doi:10.1109/indiancc.2017.7846452

Cited by 4 publications

(5 citation statements)

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“…For simplicity, based on [28,34], it is assumed that R i and R c are equivalent. Equating (2) and 3and then using (4)-(6) yield the following:V…”

Section: Battery Modellingmentioning

confidence: 99%

“…Depending upon the application, various electrical equivalent models of Li-ion battery have been proposed in recent years. Among them, RC model, Thevenin model and 2-RC model are the most popular [28,[32][33][34].…”

Section: Battery Modellingmentioning

confidence: 99%

“…In this work, we utilise RC model [28, 34] to represent the dynamics of the Li‐ion battery due to its excellent balance between simplicity and accuracy. It is shown in Figure 1, where

C_{n}

denotes the nominal capacitance which gives information about the charge storage capacity of the battery;

C_{c}

indicates the diffusion capacitance;

R_{t}

R_{i}

and

R_{c}

represent battery terminal resistance, end resistance and diffusion resistance, respectively.…”

Section: Battery Modellingmentioning

confidence: 99%

“…The terminal voltage

V (t)

and the terminal current

i (t)

are the only two measurable quantities. The following equations illustrate the behaviour of the battery equivalent circuit model (BECM):

V false(t false) = i false(t false) R_{t} + i_{c} false(t false) R_{c} + V_{c} false(t false),

V false(t false) = i false(t false) R_{t} + i_{i} false(t false) R_{i} + V_{o c} false(t false),

{\overset{V}{true}}_{o c} false(t false) = i_{i} (t) / C_{n},

{\overset{V}{true}}_{c} false(t false) = i_{c} (t) / C_{c},

i false(t false) = i_{c} false(t false) + i_{i} false(t false) .

For simplicity, based on [28, 34], it is assumed that

R_{i}

and

R_{c}

are equivalent. Equating () and () and then using ()‐() yield the following:

{\overset{V}{true}}_{o c} false(t false) = i false(t false) R_{i} + ...

…”

Section: Battery Modellingmentioning

confidence: 99%

“…Moreover, there is a need for low pass filter to extract the estimated signal from these methods, which incurs phase lag and further affects the estimation accuracy. The adaptive gain sliding mode observer (AGSMO), second-order sliding mode observer (SOSMO) and time-varying discrete sliding mode observer (TVDSMO) are employed for SOC estimation to reduce the chattering [26][27][28][29]. They still use the discontinuous control injection and low pass filter for implementation.…”

Section: Introductionmentioning

confidence: 99%

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Strict Lyapunov super twisting observer design for state of charge prediction of lithium‐ion batteries

Sethia

Majhi

Nayak

et al. 2021

IET Renewable Power Gen

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The effective implementation of battery management system (BMS) in various applications such as electric vehicles (EVs), renewable energy sources (RES) integrated smart‐grids and micro‐grids, necessitates accurate estimation of the battery parameters and states. This paper primarily focuses on offering an improved solution to the state of charge (SOC) estimation problem of lithium‐ion (Li‐ion) batteries. After extensive analysis of the current state‐of‐the‐art methods, a new strict Lyapunov super twisting algorithm (SLSTA) based approach is proposed for precise estimation of SOC under a comprehensive range of uncertainties. The error convergence and robustness of the proposed state observer are demonstrated using Lyapunov stability theory. Since the modelling parameters of the battery equivalent circuit utilised in this paper vary with various operational and external factors, a standard online method is employed for their real‐time identification. The presented method is executed on a lithium‐polymer (LiPo) battery with the help of a dynamic stress test (DST). The experimental results demonstrate that the proposed approach outperforms the well‐known approaches in terms of accuracy, computational complexity, and convergence time.

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“…For simplicity, based on [28,34], it is assumed that R i and R c are equivalent. Equating (2) and 3and then using (4)-(6) yield the following:V…”

Section: Battery Modellingmentioning

confidence: 99%

Section: Battery Modellingmentioning

confidence: 99%

“…In this work, we utilise RC model [28, 34] to represent the dynamics of the Li‐ion battery due to its excellent balance between simplicity and accuracy. It is shown in Figure 1, where