A criterion combined of bulk and surface lithium storage to predict the capacity of porous carbon lithium-ion battery anodes: lithium-ion battery anode capacity prediction

Shaker Majid; Ghazvini Ali Asghar Sadeghi; Qureshi Faisal Raza; Riahifar Reza

doi:10.1007/s42823-020-00210-5

A criterion combined of bulk and surface lithium storage to predict the capacity of porous carbon lithium-ion battery anodes: lithium-ion battery anode capacity prediction

Carbon Letters
Abbr : Carbon Lett.
2021, 31(5), pp.985-990
DOI : 10.1007/s42823-020-00210-5
Publisher : Korean Carbon Society
Research Area : Natural Science > Natural Science General > Other Natural Sciences General
Received : August 6, 2020
Accepted : November 24, 2020
Published : October 1, 2021

Shaker Majid ¹, Ghazvini Ali Asghar Sadeghi ², Qureshi Faisal Raza ³, Riahifar Reza ⁴

¹Chongqing 2D Materials Institute
²Tarbiat Modares University
³eijing University of Chemical Technology
⁴Department of Nanotechnology and Advanced Materials, Materials and Energy Research Center, Karaj, Iran

Accredited

ABSTRACT

The high level of lithium storage in synthetic porous carbons has necessitated the development of accurate models for estimating the specifc capacity of carbon-based lithium-ion battery (LIB) anodes. To date, various models have been developed to estimate the storage capacity of lithium in carbonaceous materials. However, these models are complex and do not take into account the efect of porosity in their estimations. In this paper, a novel model is proposed to predict the specifc capacity of porous carbon LIB anodes. For this purpose, a new factor is introduced, which is called normalized surface area. Considering this factor, the contribution of surface lithium storage can be added to the lithium stored in the bulk to have a better prediction. The novel model proposed in this study is able to estimate the lithium storage capacity of LIB anodes based on the porosity of porous carbons for the frst time. Benefting porosity value (specifc surface area) makes the predictions quick, facile, and sensible for the scientists and experts designing LIBs using porous carbon anodes. The predicted capacities were compared with that of the literature reported by experimental works. The remarkable consistency of the measured and predicted capacities of the LIB anodes also confrms the validity of the approach and its reliability for further predictions.

KEYWORDS

Li-ion battery · Porous carbon · Li storage · Model · Capacity

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Total Citation Counts(KCI+WOS) (26) This is the number of times that the duplicate count has been removed by comparing the citation list of WoS and KCI.

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Carbon Letters 2023 KCI Impact Factor : 1.35 KCI-WoS Impact Factor : 6.04

A criterion combined of bulk and surface lithium storage to predict the capacity of porous carbon lithium-ion battery anodes: lithium-ion battery anode capacity prediction

ABSTRACT

KEYWORDS

Citation status

This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-27)

Total Citation Counts(KCI+WOS) (26) This is the number of times that the duplicate count has been removed by comparing the citation list of WoS and KCI.

Scopus Citation Counts (28) This is the result of checking the information with the same ISSN, publication year, volume, and start page between articles in KCI and the SCOPUS journals. (as of 2024-10-01)

* References for papers published after 2023 are currently being built.

Carbon Letters 2023 KCI Impact Factor : 1.35 KCI-WoS Impact Factor : 6.04

A criterion combined of bulk and surface lithium storage to predict the capacity of porous carbon lithium-ion battery anodes: lithium-ion battery anode capacity prediction

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KEYWORDS

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WoS Citation Counts (23) This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-27)

Total Citation Counts(KCI+WOS) (26) This is the number of times that the duplicate count has been removed by comparing the citation list of WoS and KCI.

Scopus Citation Counts (28) This is the result of checking the information with the same ISSN, publication year, volume, and start page between articles in KCI and the SCOPUS journals. (as of 2024-10-01)

REFERENCES (23) * References for papers published after 2023 are currently being built.

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This is the result of checking the information with the same ISSN, publication year, volume, and start page between the WoS and the KCI journals. (as of 2024-07-27)

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