Predicting the impact of formation protocols on battery lifetime immediately after manufacturing

Weng, Andrew; Mohtat, Peyman; Attia, Peter M.; Sulzer, Valentin; Lee, Suhak; Less, Greg; Stefanopoulou, Anna G.

doi:10.1016/j.joule.2021.09.015

Cited by 89 publications

(71 citation statements)

References 74 publications

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“…But the correlation between these two early measurements and the aged capacity at 400 cycles were not as strong as expected. A similar weak correlation between the ageing performance and the CE was reported by Weng et al [30] . In our case the initial capacity (Figure 3d) of the cyclic ageing was the best indicator for the longterm performance.…”

Section: Resultssupporting

confidence: 90%

“…[2] But the correlation between these two early measurements and the aged capacity at 400 cycles were not as strong as expected. A similar weak correlation between the ageing performance and the CE was reported by Weng et al [30] In our case the initial capacity (Figure 3d) of the cyclic ageing was the best indicator for the longterm performance. The initial capacity was measured after the cells performed eleven full cycles on the HPC, when the capacity loss due to formation and post formation was completed.…”

Section: Predictive Ability Of Target Variablessupporting

confidence: 93%

“…While it is undoubted that the CE is related to parasitic reactions driving the ageing of LIB, [29] its role as an universal predictor of the ageing performance is not clear. [30] The measurement of the voltage gradient takes a few days up to a week. It requires the least complex equipment and it is the fastest to perform.…”

Section: Introductionmentioning

confidence: 77%

“…showed that it allows to predict longterm ageing behaviour. While it is undoubted that the CE is related to parasitic reactions driving the ageing of LIB, [29] its role as an universal predictor of the ageing performance is not clear [30] . The measurement of the voltage gradient takes a few days up to a week.…”

Section: Introductionmentioning

confidence: 99%

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Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization

Hildenbrand

Aupperle

Stahl

et al. 2022

Batteries & Supercaps

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The composition of the liquid electrolyte is a key factor in lifetime performance of lithium-ion batteries. The selection and quantification of additives to the electrolyte is an active field of research. This study focuses on finding the optimal additive combination of fluoroethylene carbonate (FEC) and vinylene carbonate (VC) for NMC622-Graphite cells. The central goal of this work is to accelerate the experimental search in a large search area by using a Bayesian-optimization algorithm to guide the search. Different measurements are used as target variable such as open-circuit voltage gradient and coulombic efficiency. Consequentially, the capability of these measurements for accelerated lifetime prediction compared to conventional ageing tests by cycling is investigated. The search gathered and confirmed additive combinations with excellent performance after four iterations with a total of 15 additive combinations analyzed. The results of this study give insights into the interaction of VC and FEC with regard to ageing.

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Section: Resultssupporting

confidence: 90%

Section: Predictive Ability Of Target Variablessupporting

confidence: 93%

Section: Introductionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization

Hildenbrand

Aupperle

Stahl

et al. 2022

Batteries & Supercaps

View full text Add to dashboard Cite

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“…131 Lastly, the formation protocol can influence the location of the knee. For instance, Weng et al 149 found that NMC/graphite cells formed with a fast formation protocol that emphasizes time at high SOCs exhibited later knees than cells formed with a slower baseline formation protocol, which was attributed the creation of well-passivating SEI at high potentials to decrease the amount of side reaction product formed during use. 150 Klein et al 146 found that decreasing the upper cutoff voltage in formation from 4.5 V to 4.3 V delayed the knee in NMC/graphite cells, which was attributed to decreased transition metal dissolution to cause plating.…”

Section: Cell Designmentioning

confidence: 99%

"Knees" in lithium-ion battery aging trajectories

Attia,

Bills,

Planella

et al. 2022

Preprint

Self Cite

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Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear degradation that severely limits battery lifetime. In this work, we review prior work on "knees" in lithium-ion battery aging trajectories. We first review definitions for knees and three classes of "internal state trajectories" (termed snowball, hidden, and threshold trajectories) that can cause a knee. We then discuss six knee "pathways", including lithium plating, electrode saturation, resistance growth, electrolyte and additive depletion, percolation-limited connectivity, and mechanical deformation-some of which have internal state trajectories with signals that are electrochemically undetectable. We also identify key design and usage sensitivities for knees. Finally, we discuss challenges and opportunities for knee modeling and prediction. Our findings illustrate the complexity and subtlety of lithium-ion battery degradation and can aid both academic and industrial efforts to improve battery lifetime.

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Challenges and Opportunities to Mitigate the Catastrophic Thermal Runaway of High‐Energy Batteries

Wang

Feng

Huang

et al. 2023

Advanced Energy Materials

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Li‐ion batteries (LIBs) that promise both safety and high energy density are critical for a new‐energy future. However, recent studies on battery thermal runaway (TR) suggest that the higher the energy is compressed in a battery, the thermal accidents with fires and explosions can occur in a more catastrophic way. This “trade‐off” between energy density and safety poses challenging obstacles toward the future applications of the developing high‐energy chemistries. Herein, the thermal studies on the most appealing high‐energy (HE)‐LIB chemistries are carefully reviewed. The TR characters of the HE‐LIBs, the material thermal failure behaviors as well as the underneath reaction mechanisms, and the most advanced TR mitigation technologies are comprehensively summarized. Moreover, the effectiveness of different TR mitigation routes is analyzed. Based on the analysis, the main challenges for TR mitigation in HE chemistries are further explained. Finally, opinions on the future TR mechanism studies and the promising safety design routes to overcome this intrinsic “trade‐off” between high energy and safety are presented.

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Predicting the impact of formation protocols on battery lifetime immediately after manufacturing

Cited by 89 publications

References 74 publications

Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization

Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization

"Knees" in lithium-ion battery aging trajectories

Challenges and Opportunities to Mitigate the Catastrophic Thermal Runaway of High‐Energy Batteries

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