Experimental analysis and analytical modeling of Enhanced-Ragone plot

Catenaro, Edoardo; Rizzo, Denise; Onori, Simona

doi:10.1016/j.apenergy.2021.116473

Cited by 34 publications

(5 citation statements)

References 16 publications

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“…The developed thermally coupled electrochemical P2D model was validated using data obtained from an experimental study by Catenaro et al [33]. Initially, the model was validated using experimental data of battery voltage versus time and DoD during the discharge process with the different discharge rates of 1C, 2C, and 3C at a steady ambient temperature of 25 • C. As shown in Figure 6, the simulation results of the cell voltage are consistent with the experimental data for every discharge rate.…”

Section: Model Validationmentioning

confidence: 55%

Investigation of the Electrochemical and Thermal Characteristics of NCM811-21700 Cylindrical Lithium-Ion Battery: A Numerical Study and Model Validation

Liu,

Chavan,

Kim

2023

Energies

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Recently, there has been growing recognition of the significance of energy and environmental challenges. Utilization of lithium-ion batteries in electric vehicles has shown considerable potential and benefits for tackling these issues. The effective management of battery temperature has become a crucial factor in the advancement and widespread adoption of lithium-ion batteries in electric vehicles. In this study, a thermo-coupled pseudo-two-dimensional (P2D) electrochemical model is employed to simulate the heat generation of the NCM811-21700 cylindrical battery cell at various discharge rates at an ambient temperature of 25 °C, and is validated by experimental data. The validation results demonstrate that the thermo-coupled P2D model can effectively predict the battery voltage curve during the discharge process with less than 4% errors. Although there is a slightly larger error in the temperature prediction during the battery 2C and 3C discharge processes, the maximum error approaches 10%, which is still generally within an acceptable range. In addition, the battery’s electrochemical and thermal characteristics during discharge are presented. The suggested thermo-coupled electrochemical model can be used for applications in the thermal management system of the NCM811-21700 battery.

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Section: Model Validationmentioning

confidence: 55%

Investigation of the Electrochemical and Thermal Characteristics of NCM811-21700 Cylindrical Lithium-Ion Battery: A Numerical Study and Model Validation

Liu,

Chavan,

Kim

2023

Energies

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“…Supercapacitors are a class of devices that have high power density but low energy density. Figure 6 c illustrates the trade-off between gravimetric energy density and gravimetric power density for supercapacitors and is effectively an up-to-date version of the Ragone plot for supercapacitors 42 . Historically, in most Ragone plots, the energy density of supercapacitors ranges from 1 to 10 Wh/kg 43 .…”

Section: Resultsmentioning

confidence: 99%

A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

Shetty¹,

Rajan

Kuenneth

et al. 2023

npj Comput Mater

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The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from literature. We used natural language processing methods to automatically extract material property data from the abstracts of polymer literature. As a component of our pipeline, we trained MaterialsBERT, a language model, using 2.4 million materials science abstracts, which outperforms other baseline models in three out of five named entity recognition datasets. Using this pipeline, we obtained ~300,000 material property records from ~130,000 abstracts in 60 hours. The extracted data was analyzed for a diverse range of applications such as fuel cells, supercapacitors, and polymer solar cells to recover non-trivial insights. The data extracted through our pipeline is made available at polymerscholar.org which can be used to locate material property data recorded in abstracts. This work demonstrates the feasibility of an automatic pipeline that starts from published literature and ends with extracted material property information.

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“…The Ragone plot (Figure 6e) visually presents the energy density and power density of the full-cell 2D-Bi//PB and some of the recently reported electrochemical energy storage devices. [36,[49][50][51][52][53][54] The full-cell 2D-Bi//PB shows the best electrochemical performance and superior power density. Typically, a superior energy density of 174 W h kg −1 can be obtained at 475 W kg −1 .…”

Section: Resultsmentioning

confidence: 99%

From 0D to 3D: Dimensional Control of Bismuth for Potassium Storage with Superb Kinetics and Cycling Stability

Cheng

Sun

et al. 2021

Advanced Energy Materials

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energy storage systems. [7][8][9] Thus, it is highly desired to develop new energy storage systems based on more abundant elements (such as sodium and potassium). [10,11] Compared with LIBs and sodium-ion batteries (NIBs), potassiumion batteries (KIBs) are one of the most ideal alternatives due to abundant potassium resources, lower redox potential of K + /K than that of Na + /Na (−2.93 V vs −2.71 V), similar "rocking-chair" reaction mechanism, and smaller Stokes radius in common electrolyte (K + (3.6 Å) < Na + (4.6 Å) < Li + (4.8 Å)). [12,13] Therefore, KIBs have lower production cost which has been considered as potential candidates for large-scale energy storage systems. [14] The biggest challenge for the development of KIBs is to find suitable electrode materials, because the repeated insertion/extraction of large K-ion radius would result in sluggish diffusion kinetics and electrode destruction. [15,16] Until now, many efforts have been devoted to pursue suitable electrode materials for highperformance K-ion storage. Among all kinds of anode materials, alloy-type anodes have been distinguished as promising candidates owing to its suitable voltage platform, high theoretical capacity, and high energy density. [17,18] Bismuth (Bi), an environment-friendly alloy anode material, has demonstrated a bright prospect in KIBs. [19][20][21] Based on the complete alloying reaction (Bi → K 3 Bi), it can deliver a high theoretical capacity of 385 mA h g −1 and a low reaction voltage of 0.34 V. However, huge volumetric change (506% for forming K 3 Bi) during charging/discharging and the derived electrode pulverization lead to poor cyclability and short cycle-life. [22] To address these issues, enormous efforts have been made to optimize the electrochemical properties of Bi-based anodes via appropriate structure design, such as hybridizing with carbonaceous matrix, [23] alloying with other metal, [24] and designing ultra-small nanoparticles. [25] Generally, the dimensionality of the reported Bi-based materials can be categorized into 0D, 1D, 2D, and 3D morphologies. [26] Different-dimensional structures show their unique performances based on surface and structural characteristics. Compared to 3D microsized materials, 0D-structured nanoparticles possess short diffusion length in all directions and large electrolyte-electrode contact area. Lu's group reported 0D Bi nanoparticles embedded in carbon matrix, delivering high capacity and steady long cycle (121 mA h g −1 after 700 cycles at 1 A g −1 ). [27] The 1D nanostructure exhibits Bismuth-based anode for potassium ion batteries (KIBs) has gained great attention due to its high volumetric specific capacity (3800 mA h mL −1 ). However, the Bi-based materials face a huge volumetric change upon the cycling process. Herein, the dimensionality manipulation in the Bi-anode is focused to realize superior electrochemical performance. The morphological evolution rules of 0D, 1D, 2D, and 3D Bi anodes upon the potassiation/depotassiation process are clarified. Thereinto, the 2D-Bi tran...

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Experimental analysis and analytical modeling of Enhanced-Ragone plot

Cited by 34 publications

References 16 publications

Investigation of the Electrochemical and Thermal Characteristics of NCM811-21700 Cylindrical Lithium-Ion Battery: A Numerical Study and Model Validation

Investigation of the Electrochemical and Thermal Characteristics of NCM811-21700 Cylindrical Lithium-Ion Battery: A Numerical Study and Model Validation

A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

From 0D to 3D: Dimensional Control of Bismuth for Potassium Storage with Superb Kinetics and Cycling Stability

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