A comparative study of equivalent circuit models and enhanced equivalent circuit models of lithium-ion batteries with different model structures

Lu, Languang; Fu, Hong; Hua, Jianfeng; Li, Jianqiu; Ouyang, Minggao; Wang, Yanjing; Xue, She‐Sheng; Chen, Ping

doi:10.1109/itec-ap.2014.6940946

Cited by 11 publications

(1 citation statement)

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“…Hence, studies and research rely on models, which offer more versatility and possibilities. Most of the studies on lithium-ion battery modelling use Equivalent Circuit Models (ECMs) [10][11] and electrochemical models [12][13]. ECMs are based on basic electric circuit components and are often used in real-time applications because of their mathematical simplicity.…”

Section: Introductionmentioning

confidence: 99%

A CFD thermal analysis and validation of a Li-ion pouch cell under different temperatures conditions

2021

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Li-ion cells are one of the core components for the actual and future electric mobility. Differently from other types of applications and due to the high charge/discharge rates, the thermal-related issues in batteries for mobility are drastically relevant and can affect the reliability, the safety and the performance of the system. Indeed, limited temperature differences within a battery pack have a significant impact on its efficiency, thus it is important to predict and control the cell and battery pack temperature distribution. In the proposed study, a CFD analysis has been carried out to quantify the temperature and heat distribution on a single li-ion pouch cell. The main objective of this work is to determine the temperature imbalance on the cell and the required cooling load in order to be able to correctly design the cooling system and the best module architecture. The internal heat generation occurs as a result of electrochemical reactions taking place during charge and discharge of batteries. An electric model of the cell allows to assess the thermal power generation; the model parameters are changed according to the operative conditions to improve the accuracy, specifically to take into account varying temperature conditions and C-rates. The high accuracy of the model with respect to experimental data shows the potentiality of the proposed approach to support the optimization of Li-ion modules cooling systems and architecture design.

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