A combined experimental-numerical framework for residual energy determination in spent lithium-ion battery packs

Garg, Akhil, Yun, Liu, Shaosen, Su, Goyal, Ankit, Niu, Xiaodong, Gao, Liang, Bhalerao, Yogesh ORCID: https://orcid.org/0000-0002-0743-8633 and Panda, Biranchi (2019) A combined experimental-numerical framework for residual energy determination in spent lithium-ion battery packs. International Journal of Energy Research, 43 (9). pp. 4390-4402. ISSN 1099-114X

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Abstract

The present research proposes a combined framework that evaluates remaining capacity, material behavior, ions concentration of remaining metals, and current rate of chemical reactions of spent Li‐ion batteries accurately. Voltage, temperature, internal resistance, and capacity were studied during charging and discharging cycles. Genetic programming was applied on the obtained data to develop a model to predict remaining capacity. The results of experimental work and those estimated from model were found to be correlated, confirming the validation of model. Materials structure and electrochemical behavior of electrodes during cycles were studied by cyclic voltammetry, scanning electron microscopy, and energy dispersion spectrum.

Item Type: Article
Uncontrolled Keywords: sdg 7 - affordable and clean energy ,/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy
Faculty \ School: Faculty of Science > School of Engineering (former - to 2024)
UEA Research Groups: Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 14 Jan 2020 04:59
Last Modified: 07 Nov 2024 12:41
URI: https://ueaeprints.uea.ac.uk/id/eprint/73602
DOI: 10.1002/er.4564

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