The high level of lithium storage in synthetic porous carbons has necessitated the development of accurate models for estimating the specific 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 effect of porosity in their estimations. In this paper, a novel model is proposed to predict the specific 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 first time. Benefiting porosity value (specific 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 confirms the validity of the approach and its reliability for further predictions.

合成多孔碳中锂的高存储量使得必须开发精确的模型来估算碳基锂离子电池（LIB）阳极的比容量。迄今为止，已经开发出各种模型来估计锂在含碳材料中的存储容量。但是，这些模型很复杂，并且在估算中未考虑孔隙度的影响。在本文中，提出了一种新的模型来预测多孔碳LIB阳极的比容量。为此，引入了一个新的因子，称为归一化表面积。考虑到这个因素，可以将表面锂存储的贡献添加到散装存储的锂中，以具有更好的预测。这项研究中提出的新模型能够首次基于多孔碳的孔隙率来估算LIB阳极的锂存储容量。有益的孔隙率值（比表面积）使预测快速，轻松且明智，对于使用多孔碳阳极设计LIB的科学家和专家而言。将预测的容量与实验工作报告的文献进行比较。LIB阳极的测量容量和预测容量的显着一致性也证实了该方法的有效性及其对进一步预测的可靠性。将预测的容量与实验工作报告的文献进行比较。LIB阳极的测量容量和预测容量的显着一致性也证实了该方法的有效性及其对进一步预测的可靠性。将预测的容量与实验工作报告的文献进行比较。LIB阳极的测量容量和预测容量的显着一致性也证实了该方法的有效性及其对进一步预测的可靠性。