TY - JOUR
T1 - A combined experimental-numerical framework for residual energy determination in spent lithium-ion battery packs
AU - Garg, Akhil
AU - Yun, Liu
AU - Shaosen, Su
AU - Goyal, Ankit
AU - Niu, Xiaodong
AU - Gao, Liang
AU - Bhalerao, Yogesh
AU - Panda, Biranchi
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85066100588&partnerID=MN8TOARS
U2 - 10.1002/er.4564
DO - 10.1002/er.4564
M3 - Article
SN - 1099-114X
VL - 43
SP - 4390
EP - 4402
JO - International Journal of Energy Research
JF - International Journal of Energy Research
IS - 9
ER -