Data-driven optimization of 3D battery design

Miyamoto, Kaito; Broderick, Scott; Rajan, Krishna

doi:10.1016/j.jpowsour.2022.231473

Cited by 2 publications

(9 citation statements)

References 39 publications

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“…Specifically, at present, 3D printing is the only possible method to develop intricate 3D batteries, but this technology is currently limited to creating 2D patterned batteries, , such as the interdigitated electrodes configuration shown in Figure B. We have demonstrated that such 2D geometric designs significantly impact battery performance. − The detailed algorithm of AGG-MCTS is described in the Computational Details section of the Supporting Information.…”

Section: Methodsmentioning

confidence: 99%

“…The effectiveness of our approach was demonstrated by automatically designing a set of 3D battery geometries that have both high areal power and energy densities, where lithium manganese oxide (LMO) spinel and graphite (Osaka Gas MCMB 25–10) as the active materials in the positive and negative electrodes, respectively. , Indeed, only our approach realized optimization of an entire battery cell although many simulation-based 3D battery optimizations have been reported, ,− i.e., all of the previous works reported optimization of only the dimensions of the interdigitated or pillar electrode, − or the simplified battery cell …”

Section: Methodsmentioning

confidence: 99%

“…The limitation of our optimization system described in refs − . is that resistivity parameters used in 3D-PEM are determined based on the Nyquist plots, assuming a battery system is in an equilibrium state.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, we tackle this problem by extending our simple 3D battery optimization system. − Our approach automatically designs the spatial arrangement of the positive and negative electrodes by combining an automatic geometry generator with a performance simulator, where the areal energy density is computed quickly and accurately using an electrochemistry-based regression model. As the newly proposed regression models utilize an internal resistance that depends on both materials and current condition as one of the features for prediction, accurate prediction of energies for optimal geometries that lie in the extrapolation region is possible.…”

Section: Introductionmentioning

confidence: 99%

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Tailor-Made Design of Three-Dimensional Batteries Using a Simple, Accurate Geometry Optimization Scheme

Miyamoto

2024

ACS Phys. Chem Au

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In the rapidly evolving Internet of Things (IoT) society, the demand for microbatteries with high areal energy density is surging. As a promising strategy to enhance areal energy density, threedimensional (3D) batteries have attracted attention. The feature of 3D batteries is the decoupling of the electrode thickness from the iontransport distance through the modification of the spatial arrangement of the positive and negative electrodes beyond the conventional parallel plates configuration. This allows for the accommodation of a larger amount of active materials without increasing internal resistance. However, identifying the optimal 3D geometry is a complex task, as it depends on printable materials, the resolution of the fabrication equipment, as well as battery usage, which constitutes a multiobjective optimization problem. To overcome this challenge, we propose a novel approach to determine the optimal 3D microbattery geometry. Our innovative method involves a 3D battery optimization system, which integrates an automatic geometry generator with a quick and accurate performance simulator. This approach allows, for the first time, the discovery of material-and dischargecurrent-dependent optimal geometries. We successfully apply this optimization scheme to two standard electrode pairs (LiFePO 4 / Li 4 Ti 5 O 12 and LiNi 0.5 Mn 0.3 Co 0.2 O 2 /graphite), demonstrating a significant increase in energy density (30%−40% greater than the current state-of-the-art geometry), particularly under high current conditions. These findings underscore the importance of tailormade batteries for diverse IoT applications and showcase the potential of our approach in realizing such designs.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tailor-Made Design of Three-Dimensional Batteries Using a Simple, Accurate Geometry Optimization Scheme

Miyamoto

2024

ACS Phys. Chem Au

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“…The swift advancement of microelectronic devices, including wearable electronics, artificial skin, and the Internet of Things, has sparked a surge in the need for enhanced performance in miniaturized energy storage devices, and it has become one of the limiting factors in the development of the microelectronics field. [1][2][3][4][5][6] Currently, micro-batteries and microsupercapacitors (MSCs) are the main energy storage devices in the field of micro-energy storage devices. 7,8 Compared to other micro-energy storage devices, micro-batteries dominate the field due to their high energy density and mature commercial manufacturing processes, but their low power density, slow charging response, and short cycle life have increasingly failed to meet the demands of the microelectronics field.…”

Section: Introductionmentioning

confidence: 99%