Mechanical behavior of Silicon-Graphite pouch cells under external compressive load: Implications and opportunities for battery pack design

Sutter, Lysander De; Berckmans, Gert Jan; Marinaro, Mario; Wohlfahrt‐Mehrens, Margret; Berecibar, Maitane; Mierlo, Joeri Van

doi:10.1016/j.jpowsour.2020.227774

Cited by 35 publications

(16 citation statements)

References 43 publications

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“…To be further, Mierlo and coworkers proposed a modeling methodology to evaluate the capacity fading mechanism in NCM622||Si‐alloy/graphite full cells under external pressure loads. [ 308 ] Three mechanical mechanisms could be clearly distinguished, which contained irreversible mechanical relaxation, reversible pressure variation, and irreversible pressure growth processes (Figure 14c). The results demonstrated that the capacity degradation of the NCM622||Si‐alloy/graphite full cell was closely related to its mechanical behavior during operation.…”

Section: Development Of Si‐based Electrodes (Si Si Alloy Siox…)mentioning

confidence: 99%

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Silicon‐Based Lithium Ion Battery Systems: State‐of‐the‐Art from Half and Full Cell Viewpoint

Guo

Dong

Wang

et al. 2021

Adv Funct Materials

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Lithium‐ion batteries (LIBs) have been occupying the dominant position in energy storage devices. Over the past 30 years, silicon (Si)‐based materials are the most promising alternatives for graphite as LIB anodes due to their high theoretical capacities and low operating voltages. Nevertheless, their extensive volume changes in battery operation causes the structural collapse of Si‐based electrodes, as well as severe side reactions. In this review, the preparation methods and structure optimizations of Si‐based materials are highlighted, as well as their applications in half and full cells. Meanwhile, the developments of promising electrolytes, binders and separators that match Si‐based electrodes in half and full cells have made great progress. Pre‐lithiation technology has been introduced to compensate for irreversible Li+ consumption during battery operation, thereby improving the energy densities and lifetime of Si‐based full cells. More importantly, almost all related mechanisms of Si‐based electrodes in half and full cells are summarized in detail. It is expected to provide a comprehensive insight on how to develop high‐performance Si‐based full cells. The work can help us understand what happens during the lithiation process, the primary causes of Si‐based half and full cells failure, and strategies to overcome these challenges.

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Section: Development Of Si‐based Electrodes (Si Si Alloy Siox…)mentioning

confidence: 99%

Section: Development Of Si‐based Electrodes (Si Si Alloy Siox…)mentioning

confidence: 99%

Silicon‐Based Lithium Ion Battery Systems: State‐of‐the‐Art from Half and Full Cell Viewpoint

Guo

Dong

Wang

et al. 2021

Adv Funct Materials

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“…The response may include reducing resistance, suppressing gas production, resisting irreversible deformation, etc. [256][257][258][259] Muller 244 and Mussa 245 suggested that the well-design external pressure considerably suppresses the battery aging. However, a negative effect of the external pressure on the mass transfer at the electrode level has also been reported, which compromises the cycling performance.…”

Section: External Pressurementioning

confidence: 99%

Mechanics-based design of lithium-ion batteries: a perspective

Yuan

Bao

et al. 2022

Phys. Chem. Chem. Phys.

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“…[ 116 ] Also, the mechanical properties of the cells, such as the internal pressure, compression, or strain in the battery cell, can be monitored by tracking the volume changes and utilized for both SoC and SoH estimations. [ 117 ] Optical fiber sensors have been able to track chemical events such as SEI formation and structural evolution, which can correlate to SoH estimation and detect cell temperature gradients. [ 118 ] Additionally, thermal sensors and electrochemical impedance spectroscopy (EIS) can play a role in developing non‐invasive state estimations.…”

Section: Ai For Advanced Sensing and Self‐healingmentioning

confidence: 99%

Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries

Bhowmik¹,

Berecibar

Casas‐Cabanas

et al. 2021

Advanced Energy Materials

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BATTERY 2030+ targets the development of a chemistry neutral platform for accelerating the development of new sustainable high-performance batteries.Here, a description is given of how the AI-assisted toolkits and methodologies developed in BATTERY 2030+ can be transferred and applied to representative examples of future battery chemistries, materials, and concepts. This perspective highlights some of the main scientific and technological challenges facing emerging low-technology readiness level (TRL) battery chemistries and concepts, and specifically how the AI-assisted toolkit developed within BIG-MAP and other BATTERY 2030+ projects can be applied to resolve these. The methodological perspectives and challenges in areas like predictive long time-and length-scale simulations of multi-species systems, dynamic processes at battery interfaces, deep learned multi-scaling and explainable AI, as well as AI-assisted materials characterization, self-driving labs, closed-loop optimization, and AI for advanced sensing and self-healing are introduced. A description is given of tools and modules can be transferred to be applied to a select set of emerging low-TRL battery chemistries and concepts covering multivalent anodes, metalsulfur/oxygen systems, non-crystalline, nano-structured and disordered systems, organic battery materials, and bulk vs. interface-limited batteries.

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Mechanical behavior of Silicon-Graphite pouch cells under external compressive load: Implications and opportunities for battery pack design

Cited by 35 publications

References 43 publications

Silicon‐Based Lithium Ion Battery Systems: State‐of‐the‐Art from Half and Full Cell Viewpoint

Silicon‐Based Lithium Ion Battery Systems: State‐of‐the‐Art from Half and Full Cell Viewpoint

Mechanics-based design of lithium-ion batteries: a perspective

Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries

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