2022
DOI: 10.1149/1945-7111/ac6aed
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The Effect of LiFePO4 Particle Size and Surface Area on the Performance of LiFePO4/Graphite Cells

Abstract: In an effort to better understand capacity loss mechanisms in LiFePO4 (LFP)/graphite cells, this work considers carbon-coated LFP materials with different surface area and particle size. Cycling tests at room temperature (20°C) and elevated temperatures show more severe capacity fade in cells with lower surface area LFP material. Measurements of Fe deposition on the negative electrode using micro X-ray fluorescence (µXRF) spectroscopy reveal more Fe on the graphite electrode from cells with low surface area. M… Show more

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Cited by 20 publications
(14 citation statements)
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“…Other factors, including mechanical stressors (externally imposed stack pressure), gamma radiation, and rapid gravitational fluctuations, have been found to influence calendar aging (NASA, 2009;Li et al, 2019;Logan et al, 2022). For instance, when stress exceeds a specific threshold, the electrode fails due to cracking or fracture (Li et al, 2019).…”
Section: Li-ion Batteries and Calendar Agingmentioning
confidence: 99%
“…Other factors, including mechanical stressors (externally imposed stack pressure), gamma radiation, and rapid gravitational fluctuations, have been found to influence calendar aging (NASA, 2009;Li et al, 2019;Logan et al, 2022). For instance, when stress exceeds a specific threshold, the electrode fails due to cracking or fracture (Li et al, 2019).…”
Section: Li-ion Batteries and Calendar Agingmentioning
confidence: 99%
“…The long‐term LIB cycle life sensitively depends on the so‐called Coulombic inefficiency, which is the percentage of Li atom inventory that becomes deactivated each time an inventory is deposited into and extracted from the electrodes. By tuning the electrolyte chemistry [ 17,16 ] and electrode coatings, [ 18 ] it is possible to reduce the Coulombic inefficiency and increase the cycle life exponentially. [ 19,20 ] Recently, our group used robotic arms and automatic testing apparatus paired with active learning algorithms to conduct high throughput electrolyte testing (ongoing).…”
Section: Eight Hours Of Energymentioning
confidence: 99%
“…Hsu et al [ 15 ] and Lu et al. [ 16 ] used deep neural networks to predict battery state of health (SOH), remaining useful life (RUL) and capacity–voltage curves, which are key for selecting newly manufactured or used cells for at‐home or grid‐scale battery packs and dynamic load‐balancing.…”
Section: Eight Hours Of Energymentioning
confidence: 99%
See 1 more Smart Citation
“…8,9 Surface coating, particle size reduction, and doping have been widely explored to improve the electronic conductivity and ion diffusivity of LFP. 10,11…”
Section: Introductionmentioning
confidence: 99%