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

Akhil Garg, Liu Yun, Su Shaosen, Ankit Goyal, Xiaodong Niu, Liang Gao, Yogesh Bhalerao, Biranchi Panda

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
13 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)4390-4402
Number of pages13
JournalInternational Journal of Energy Research
Issue number9
Early online date20 May 2019
Publication statusPublished - 1 Jul 2019

Cite this