A comparative study of data-driven electro-thermal models for reconfigurable lithium-ion batteries in real-time applications

Lechermann, Lorenz; Kleiner, Jan; Komsiyska, Lidiya; Hinterberger, Michael; Endisch, Christian

doi:10.1016/j.est.2023.107188

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…At the module or pack level, errors of up to 3.3 K [38], or 5 % of the measured temperature [40], can be found. Higher accuracies are, among others, given by Lechermann et al [42] and Kleiner et al [29] with maximum errors below 1 K and 0.5 K, respectively. In terms of the computational effort, the published results vary to an even higher degree.…”

mentioning

confidence: 73%

“…Thermal equivalent circuit models can incorporate different degrees of spatial resolution, ranging from complex 3D models as given, among others, by Kleiner et al [29] up to highly simplified models incorporating 0D cell models as given, among others, by Gan et al [40] and Murashko et al [41]. A comparative study on the influence of the model complexity on accuracy and computational effort is given by Lechermann et al The authors in [42] tested various levels of order reduction for a 3D thermal module model, as well as implemented artificial neural networks as surrogate models [42]. In general, thermal equivalent circuit models enable a considerably faster computation in exchange for often limited accuracy and resolution.…”

Section: Introductionmentioning

confidence: 99%

“…The highly spatially resolved model proposed by Trady et al [36] requires beyond 1000 s per hour of simulated profile. On the other end of the spectrum, Lechermann et al [42] describe various model designs achieving below 1 s per hour profile time, although these do not include initialization and postprocessing [42].…”

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confidence: 99%

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A Generic Approach to Simulating Temperature Distributions within Commercial Lithium-Ion Battery Systems

Reiter,

Lehner,

Bohlen

et al. 2023

Batteries

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Determining both the average temperature and the underlying temperature distribution within a battery system is crucial for system design, control, and operation. Therefore, thermal battery system models, which allow for the calculation of these distributions, are required. In this work, a generic thermal equivalent circuit model for commercial battery modules with passive cooling is introduced. The model approach can be easily adopted to varying system designs and sizes and is accompanied by a corresponding low-effort characterization process. The validation of the model was performed on both synthetic and measured load profiles from stationary and marine applications. The results show that the model can represent both the average temperature and the occurring temperature spread (maximum to minimum temperature) with deviations below 1 K. In addition to the introduced full-scale model, further simplifying assumptions were tested in order to reduce the computational effort required by the model. By comparing the resulting simplified models with the original full-scale model, it can be shown that both reducing the number of simulated cells and assuming electrical homogeneity between the cells in the module offer a reduction in the computation time within one order of magnitude while still retaining a high model accuracy.

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mentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

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A Generic Approach to Simulating Temperature Distributions within Commercial Lithium-Ion Battery Systems

Reiter,

Lehner,

Bohlen

et al. 2023

Batteries

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“…Over the last 20 years, research has been conducted to create battery models that can simulate the operational characteristics of batteries and validate the results. Among these models, the electro-chemical (EC) model [7][8][9], datadriven models [10], equivalent-circuit model [11][12][13][14][15], and electro-thermal (ET) model are representative. While the EC model shows the ability to accurately predict the dynamics and terminal voltage, it can be expressed with coupled partial differential equations, which require high computational power.…”

Section: Introductionmentioning

confidence: 99%

Electro-Thermal Analysis of a Pouch–Type Lithium–Ion Battery with a High Discharge Rate for Urban Air Mobility

Lee

2023

Batteries

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The dynamic behavior and thermal performance of a high-power, high-energy-density lithium-ion battery for urban air mobility (UAM) applications were analyzed by using an electro-thermal model. To simulate the behavior of pouch-type nickel-cobalt-manganese (NCM) lithium–ion batteries, a battery equivalent circuit with a second order of resistance–capacitance (RC) elements was employed. The values of the RC models were determined by using curve fitting based on experimental data for the lithium-ion battery. A three–dimensional model of the lithium-ion battery was created, and a thermal analysis was performed while considering the external temperature and flight time under a 20 min load condition. At an external temperature of 20 °C, the heat generation increased proportionally to the square of the current as the C–rate increased. For 3C, the reaction heat source was 45.5 W, and the average internal temperature of the cell was 36 °C. Even at the same 3C, as the external temperature decreased to 0 °C, the increase in internal resistance led to a greater reaction heat source of 58.27 W, which was 36.9% higher than that at 20 °C. At 5C, the maximum operating time was 685.6 s. At this point, the average internal temperature of the cell was 59.8 °C, which allowed for normal operation. When the C–rate of the battery cell reached 8, which was the momentary maximum high-discharge condition, the temperature sharply rose before the state of charge (SoC) reached 0. With an average internal cell temperature of 80 °C, the maximum operating time became 111.9 s. This met the design requirements for urban air mobility (UAM) in this study.

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A Fast Computational Tool for the Thermal Optimization of Salt Batteries: Model Derivation and Validation

De Piaz,

Sabia,

Marchisio

et al. 2024

Preprint

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A comparative study of data-driven electro-thermal models for reconfigurable lithium-ion batteries in real-time applications

Cited by 4 publications

References 34 publications

A Generic Approach to Simulating Temperature Distributions within Commercial Lithium-Ion Battery Systems

A Generic Approach to Simulating Temperature Distributions within Commercial Lithium-Ion Battery Systems

Electro-Thermal Analysis of a Pouch–Type Lithium–Ion Battery with a High Discharge Rate for Urban Air Mobility

A Fast Computational Tool for the Thermal Optimization of Salt Batteries: Model Derivation and Validation

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