Combined electrochemical, heat generation, and thermal model for large prismatic lithium-ion batteries in real-time applications

Farag, Mohammed; Sweity, Haitham; Fleckenstein, Matthias; Habibi, Saeid

doi:10.1016/j.jpowsour.2017.06.031

Cited by 111 publications

(60 citation statements)

References 34 publications

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“…The largest deviation between experimental data and model data was detected at 10 • C, where an RMSE value of 1 • C was observed. Although the error is higher for low temperatures, the accuracy of the model is similar to predictive models that have been proposed in the literature [17,29]. Finally, it should be noted that the sudden drop in temperature at the end of the test is due to the entropic heat generation term that resembles an endothermic process at low SOC values.…”

Section: Temperature Validation Resultssupporting

confidence: 74%

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

et al. 2018

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An accurate and computationally efficient lithium-ion battery model is beneficial when developing state-of-charge (SOC) and state-of-health (SOH) algorithms for battery management systems (BMS). These models allow for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing, where the battery pack is simulated in software. However, development of these battery models can be time-consuming, especially when trying to model the effects of temperature and SOC on the equivalent circuit model (ECM) parameters. Estimation of this relationship is often accomplished by carrying out many experiments, which can be costly and time consuming for BMS manufacturers. To address these issues, this paper makes two contributions to literature. First, a comprehensive battery model is developed, where the ECM parameter surface is generated using a design of experiments (DOE) approach. Second, replication runs are conducted to accurately estimate the measurement noise and determine which model parameters are significant. The technique is then compared with existing approaches from the literature, and it is shown that, by using the proposed method, the same degree of accuracy can be obtained while requiring significantly fewer experimental runs. This can be advantageous for BMS manufacturers that require a high-fidelity model but cannot afford to carry out many experiments.

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Section: Temperature Validation Resultssupporting

confidence: 74%

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

et al. 2018

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“…The accuracy of the current model is comparable to a recent study published by Farag et at. [28], covering a broad range of C-rates and temperatures.…”

Section: Validation Of the Model -Drive-cycle Simulation/experimentalmentioning

confidence: 99%

“…2 ) r radial coordinate in spherical particle (μm) r p particle radius μm ( ) imbalance within the parallel cells of a battery pack. Farag et al [28] succeeded to make a real-time prediction of a 26 Ah battery's core temperature and terminal voltage employing a combined electrochemical, heat generation and thermal model. However, the details of the electrochemical parameters have not been reported in their research.…”

Section: Introductionmentioning

confidence: 99%

A systematic approach for electrochemical-thermal modelling of a large format lithium-ion battery for electric vehicle application

Hosseinzadeh

Genieser

Worwood

et al. 2018

Journal of Power Sources

140

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“…The model parameters are obtained with least square algorithm, or machine learning methods, such as linear neural network and RBF neural network . Due to its simple structure and ease of implementation, the lumped thermal models are usually embedded in the battery management system (BMS) for real‐time temperature estimation or coupled to other physical fields for more precise studies . For example, the electro‐thermal‐aging‐coupled model is established to capture the nonlinear electrical, thermal, and aging dynamics of a Lion‐ion battery …”

Section: Introductionmentioning

confidence: 99%

“…40 Due to its simple structure and ease of implementation, the lumped thermal models are usually embedded in the battery management system (BMS) for real-time temperature estimation 33,38 or coupled to other physical fields for more precise studies. 34,41 For example, the electro-thermal-agingcoupled model is established to capture the nonlinear electrical, thermal, and aging dynamics of a Lion-ion battery. 42,43 Despite high calculation efficiency, the lumped thermal model cannot obtain the temperature distribution while the numerical simulation is a practical approach to get the temperature distribution of batteries with different chemistries and shapes.…”

Section: Introductionmentioning

confidence: 99%

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

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Summary Numerical simulation is widely used in research and design of the battery thermal management system (BTMS). Battery cells are commonly homogenized to a block for module or pack level modeling. However, how the homogenization method affects results is not proven. This paper works on a hard‐cased Li‐ion battery to find a proper simplification method. First, a detailed three‐dimensional thermal model (model A) is set up and validated by experimental data. Then, the other three models with different simplification strategies are proposed. They are model B (the cell is homogenized to a block), model C (the cell preserves only core region and housing case), and model D (based on model C, the thin insulation films are also considered). Take the results of model A as a reference, the calculation accuracy and efficiency are summarized. It is found that model B shows the best efficiency and is a proper choice for evaluation of temperature dynamics, while model D is more recommended when the internal temperature distribution of the battery is more concerned.

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Combined electrochemical, heat generation, and thermal model for large prismatic lithium-ion batteries in real-time applications

Cited by 111 publications

References 34 publications

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

A systematic approach for electrochemical-thermal modelling of a large format lithium-ion battery for electric vehicle application

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

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