An approach for state of charge estimation of Li-ion battery based on Thevenin equivalent circuit model

Chen, Bing; Ma, Haodong; Fang, Hongzheng; Fan, Hongqi; Luo, Kai; Fan, Bin

doi:10.1109/phm.2014.6988253

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…𝑅 𝑜 is responsible for the instantaneous voltage drop/rise in the battery response [49]. 𝑅 1 to 𝑅 𝑛 are the leakage [50] or transient resistances, and 𝐶 1 to 𝐶 𝑛 are the corresponding dynamic capacitances. In a TTC model, the elements 𝑅 1 (Charge-Transfer Resistance), 𝐶 1 (Double-Layer Capacitance), 𝑅 2 (Diffusion Resistance), and 𝐶 2 (Diffusion Capacitance) [32] would represent two RC branches that model the corresponding long and short time constants of a battery's step response, respectively [51].…”

Section: B Circuit-based Battery Modelingmentioning

confidence: 99%

A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems

Rouholamini

Wang

Nehrir

et al. 2022

IEEE Trans. Smart Grid

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Section: B Circuit-based Battery Modelingmentioning

confidence: 99%

A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems

Rouholamini

Wang

Nehrir

et al. 2022

IEEE Trans. Smart Grid

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“…2, describes fairly accurately the cell behavior [4]. It consists of an ideal open circuit voltage source (OCV) and an equivalent series resistor (ESR) [5]. A simple electrical model enables to quickly determine cell characteristics.…”

Section: B Thevenin's Modelsmentioning

confidence: 99%

Insert Switches Inside to Increase Battery Lifespan

Savard¹,

Venet²,

Niel³

et al. 2020

EJERS

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This paper shows the possible gain on time before the end of useful time brought by switches addition in a multicell battery. In a first time, it presents a battery electric model. A battery includes many identical electrical energy cells that electrically interact. From a behavioral standpoint, cell performance is measured by fundamental parameters: State of Charge (SoC) and State of Health (SoH). To simulate cell electrical behavior, the Thevenin model or the Nernst model are often used. However, these models do not take into account the cells aging or the possible interactions on aging. A cell ages mainly in two ways: cyclic and calendar. This aging impacts both the elements of the equivalent electrical model and the fundamental parameters (SoC and SoH). Thus, the conventional electric model of a cell does not accurately reflect the cell aging. In this paper, another formal model based on the fundamental curve that relates electrical and behavioral parameters is proposed. It integrates aging into the equivalent electric model estimation. In a second time, in order to validate this model, this cell model is used to simulate parallel-series association. To improve battery lifespan, in addition to the usual balancing techniques, it may be relevant to require some traditional reliability and operating safety solutions. This requires to add switches inside battery. The presented simulation shows adding switches solution is currently not deployed. This is justified in this paper by examining the impact provide on lifespan improvement on an example, which is pretty weak. But it also shows that however, by managing active cells in a different way, adding switches and spare cells can really reach this improvement.

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“…There are a number of popular ECMs which are commonly used, such as the Combined model, resistor-capacitor (RC) model, and Thevenin model. The SOC estimation research is often based on the RC model or Thevenin model [34][35][36].…”

Section: Battery Modelmentioning

confidence: 99%

A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

Xia

Guo

Wang³

et al. 2018

Energies

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A state of charge (SOC) estimation method is proposed. An Adaptive Extended Kalman Particle filter (AEKPF) based on Particle Filter (PF) and Adaptive Kalman Filter (AKF) is used in order to decrease the error and reduce calculations. The second-order resistor-capacitor (RC) Equivalent Circuit Model (ECM) is used to identify dynamic parameters of the battery. After testing (include Dynamic Stress test (DST), New European Driving Cycle (NEDC), Federal Urban Dynamic Schedule (FUDS), Urban Dynamometer Driving Schedules (UDDS), etc.) at different temperatures and times, it was found that the AEKPF exhibits greater tolerance for high system noise (10% or higher) and provides more accurate estimations under common operating conditions.

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An approach for state of charge estimation of Li-ion battery based on Thevenin equivalent circuit model

Cited by 10 publications

References 8 publications

A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems

A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems

Insert Switches Inside to Increase Battery Lifespan

A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

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