Gaussian process-based prognostics of lithium-ion batteries and design optimization of cathode active materials

Valladares, Homero; Li, Tianyi; Zhu, Likun; El-Mounayri, Hazim; Hashem, Ahmed M.; Abdel-Ghany, Ashraf E.; Tovar, Andrés

doi:10.1016/j.jpowsour.2022.231026

Cited by 19 publications

(7 citation statements)

References 45 publications

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“…Among these, surrogate modelling is the simplest to implement as it is a high-fidelity statistical modelling technique requiring a small number of training and test data points in comparison to other machine learning approaches. [38][39][40] Hence, we employ surrogate modelling to develop models for the thermoelectrochemical response of a commercial lithium-ion cell.…”

Section: Methodsmentioning

confidence: 99%

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Gupta¹,

Bahga²,

Gupta³

2023

J. Electrochem. Soc.

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The thermal behaviour of lithium-ion cells plays a critical role in their overall performance and safety. The cell temperature fluctuates during operation due to varying operating conditions, particularly discharge current and ambient temperature. Thus, a precise thermo-electrochemical characterization is imperative for comprehending the behaviour of these cells under a wide range of operating conditions. Through experimental measurements, this study endeavours to determine the dependence of thermo-electrochemical response of commercial lithium-ion cells as a function of discharge rates and ambient temperatures. High-fidelity reduced-order models are established using surrogate-based techniques to formulate response surfaces for the relevant output parameters, which enables the estimation of these parameters in cases where experiments were not performed. The study reaffirms that an increase in the discharge current rate results in an increase in the temperature difference between the core and surface of the cell. Also, a low ambient temperature has a relatively higher adverse impact on the battery performance, given the same discharge current. Furthermore, sensitivity analysis reveals that cell temperature, discharge capacity, and average discharge energy are more sensitive to ambient temperature than discharge current. On the other hand, the average discharge power is insensitive to ambient temperature and primarily dependent on the discharge current.

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Section: Methodsmentioning

confidence: 99%

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Gupta¹,

Bahga²,

Gupta³

2023

J. Electrochem. Soc.

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“…To the best of our knowledge, BO has not been explicitly studied in the context of durable product design from a degradation modeling and prognostics perspective. The closest related works include Jiang et al [27], Valladares et al [28], and Attia et al [29]. Nevertheless, Jiang et al [27] applied BO to minimize the charging time of Li-ion batteries while imposing constraints to prevent excessive degradation, which is different from maximizing the lifetime.…”

Section: B Related Literaturementioning

confidence: 99%

“…Nevertheless, Jiang et al [27] applied BO to minimize the charging time of Li-ion batteries while imposing constraints to prevent excessive degradation, which is different from maximizing the lifetime. The methods in Valladares et al [28] and Attia et al [29] are limited to Li-ion batteries as they require domain-specific feature engineering.…”

Section: B Related Literaturementioning

confidence: 99%

Iterative Durability Design of Products via Degradation-Informed Bayesian Optimization

Kim¹

2023

Preprint

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“…Currently, there is a shortage of fossil energy in the world as well as serious environmental pollution. Therefore, lithium-ion batteries are widely used in the field of electric vehicles due to their environmental friendliness. − However, with the rapid development in the field of electric vehicles, the cost and energy density of lithium-ion batteries are also increasing. − The commercial development of layered metal oxides represented by LiCoO 2 is limited due to the high price and toxicity of Co, while the energy density of LiFeO 4 , LiMnO 4 , and other materials cannot meet the needs of a new generation of electric vehicles. − In contrast, the LiNi 0.5 Mn 1.5 O 4 (LNMO) material not only has low cost but also has an energy density of 650 Wh/kg and a discharge voltage platform of 4.7 V. − Therefore, LNMO has become a lithium battery cathode material with great potential and development prospects in the new era.…”

Section: Introductionmentioning

confidence: 99%

PrF₃ Nanocoatings for Stabilizing Spinel LiNi_0.5Mn_1.5O₄ Cathodes

Chen

Dai

et al. 2022

ACS Appl. Nano Mater.

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LiNi0.5Mn1.5O4 (LNMO) has broad application prospects due to its high discharge platform and low cost. However, the side reactions of the electrolyte during high-temperature and high-voltage cycling severely limit its commercial development. In this study, PrF3 nanocoatings were constructed by wet chemistry to stabilize the surface of LNMO electrodes to solve such problems. The electrochemical test results show that the PrF3 nanocoating can effectively improve the electrochemical performance of the LNMO electrode, especially at high temperature. In the voltage range of 3.5–4.9 V, the 1 wt % PrF3-coated electrode exhibited a capacity retention of 91.4% after 100 cycles at a rate of 0.2C and 55 °C, while the pristine LNMO electrode could not release its capacity after 91 cycles. At a rate of 10C, the discharge capacity of pristine LNMO was only 48.2 mAh g–1, while that of LNMO-PF1 was 88.9 mAh g–1. The characterization of the samples before and after coating further indicates that the PrF3 nanocoating can stabilize the LNMO electrode surface, inhibit its side reactions with the electrolyte, enhance the structural stability, and improve the lithium ion diffusion kinetics. Our study provides an effective way to stabilize the energy density and cycling performance of LNMO at high temperature and high voltage and provides an idea for the protection strategy of high-energy-density lithium batteries working at high voltage.

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Gaussian process-based prognostics of lithium-ion batteries and design optimization of cathode active materials

Cited by 19 publications

References 45 publications

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Iterative Durability Design of Products via Degradation-Informed Bayesian Optimization

PrF₃ Nanocoatings for Stabilizing Spinel LiNi_0.5Mn_1.5O₄ Cathodes

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Gaussian process-based prognostics of lithium-ion batteries and design optimization of cathode active materials

Cited by 19 publications

References 45 publications

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Effect of Ambient Temperature and Discharge Current on Thermo-Electrochemical Behaviour of Lithium-Ion Cells Using Surrogate Modelling and Analysis

Iterative Durability Design of Products via Degradation-Informed Bayesian Optimization

PrF3 Nanocoatings for Stabilizing Spinel LiNi0.5Mn1.5O4 Cathodes

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Product

Resources

About

PrF₃ Nanocoatings for Stabilizing Spinel LiNi_0.5Mn_1.5O₄ Cathodes