Aging prediction and state of charge estimation of a LiFePO...

Electric Power Systems Research 2017 / 05 Vol. 146

Aging prediction and state of charge estimation of a LiFePO 4 battery using input time-delayed neural networks

Chaoui, Hicham, Ibe-Ekeocha, Chinemerem C., Gualous, Hamid
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Volume:
146
Language:
english
Journal:
Electric Power Systems Research
DOI:
10.1016/j.epsr.2017.01.032
Date:
May, 2017
File:
PDF, 2.33 MB
english, 2017
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