A Number of RC Pairs Consideration of Electrical Equivalent Circuit Model of Li-ion Battery

Kamrueng, Chairat; Kittiratsatcha, S.; Polmai, Sompob

doi:10.1109/iceast50382.2020.9165523

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…The ECM is usually composed of open-circuit voltage (OCV), a single ohmic resistance, and a series of parallel resistance and capacitance (RC) networks [77], as shown in Figure 9a. The parameterization and simplicity of implementation make ECM the preferred choice for battery state estimation.…”

Section: Equivalent Circuit Model (Ecm)mentioning

confidence: 99%

Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries

Sun,

Qi,

Song

et al. 2023

Energies

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Lithium-ion batteries (LIBs) have the advantages of high energy/power densities, low self-discharge rate, and long cycle life, and thus are widely used in electric vehicles (EVs). However, at low temperatures, the peak power and available energy of LIBs drop sharply, with a high risk of lithium plating during charging. This poor performance significantly impacts the application of EVs in cold weather and dramatically limits the promotion of EVs in high-latitude regions. This challenge recently attracted much attention, especially investigating the performance decrease for LIBs at low temperatures, and exploring the solutions; however, limited reviews exist on this topic. Here, we thoroughly review the state-of-the-arts about battery performance decrease, modeling, and preheating, aiming to drive effective solutions for addressing the low-temperature challenge of LIBs. We outline the performance limitations of LIBs at low temperatures and quantify the significant changes in (dis)charging performance and resistance of LIBs at low temperatures. The various models considering low-temperature influencing factors are also tabulated and summarized, with the modeling improvement for describing low-temperature performance highlighted. Furthermore, we categorize the existing heating methods, and the metrics such as heating rate, energy consumption, and lifetime impact are highlighted to provide fundamental insights into the heating methods. Finally, the limits of current research on low-temperature LIBs are outlined, and an outlook on future research direction is provided.

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Section: Equivalent Circuit Model (Ecm)mentioning

confidence: 99%

Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries

Sun,

Qi,

Song

et al. 2023

Energies

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“…Its corresponding circuit model is shown in Fig 1. C and 2 R simulates the concentration difference polarization effect [23][24][25]. The parameters of the circuit components in the second-order RC model change when SOC changes.…”

Section: Battery Equivalent Circuit Modelingmentioning

confidence: 99%

SOC Estimation for Electrical Vehicle lithium Batteries base on Simplified-spherical Un-scented Kalman Filtering

Wang¹

2022

J. Infor. Electr. Electron. Eng.

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In order to develop electric vehicles, it is vital to be able to accurately estimate the state charge (SOC) of a lithium battery. To address the problem that the Extended Kalman Filter (EKF) algorithm leads to the Taylor expansion truncation of the higher-order system. In this paper, a system of state-space equations is established based on the second-order equivalent circuit model, and a simplified-sphere sample approach is used to improve the Unscented Kalman Filter (UKF) algorithm. The SOC estimation performance of the three algorithms is tested under constant current discharge, pulse discharge conditions, and UDC conditions, respectively. The simulation results show that Simplified-spherical Unscented Kalman Filtering (SUKF) has smaller errors between SOC estimation and theoretical reference values than EKF and UKF. The SUKF is less computationally intensive than UKF and has better timeliness in the onboard battery management system.

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“…Defining the initial number of samplings as 𝑘 𝑖𝑛𝑖𝑡 =0, in each sampling time interval ∆𝑡, if the sign of ∆𝑆𝑜𝐶 changes, i.e., ∆𝑆𝑜𝐶 ≤ 0 and ∆𝑆𝑜𝐶 > 0, then denote n=n+1. Then, the average charge and discharge current can be calculated as (12,13) and (14,15) respectively:…”

Section: Lifetime Filed (Block C)mentioning

confidence: 99%

“…Shepherd et al and Olivier, T et al [10][11] proposed an electrochemical model to represent its chemical reaction during the charging and discharge. Kamrueng et al and Li, Kaiyuan et al [12][13] proposed an equivalent circuit model to mimic the OCV hysteresis phenomenon of lithium-ion batteries meanwhile estimate the battery state of charge (SoC). In addition to this, Gurjer et al [14] proposed a simple but effective mathematical model based on the Thevenin theorem to precisely capture the charge and discharge characteristics of the battery [15].…”

Section: Introductionmentioning

confidence: 99%

A generic lithium-ion battery integration model considering multiphysics

Wang

Mao

Zhang

et al. 2022

J. Phys.: Conf. Ser.

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Battery is widely suggested as a reservoir to fasten the power balance between supply and demand. Amongst a variety of batteries, lithium-ion battery technology is the most promoted. However, most of the battery models in the power system simulation are assumed that the battery has a fixed electrical performance, while in reality, this is related to various factors, such as temperature and aging. In order to precisely model the battery, this paper proposes an easy-to-use lithium battery model considering multiphysics, including electrodynamic field, thermodynamic field, and lifetime field. The parameter identification of the proposed model has also been provided. Real battery experimental data serves to verify the accuracy of the proposed model. The simulation results prove that the temperature and aging can significantly degrade battery performance, the process of which can be well captured by the proposed model.

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A Number of RC Pairs Consideration of Electrical Equivalent Circuit Model of Li-ion Battery

Cited by 8 publications

References 5 publications

Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries

Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries

SOC Estimation for Electrical Vehicle lithium Batteries base on Simplified-spherical Un-scented Kalman Filtering

A generic lithium-ion battery integration model considering multiphysics

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