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State-of-charge estimation of Li-ion batteries...
Journal article

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

Abstract

Accurate State of Charge (SOC) estimation is crucial to ensure the safe and reliable operation of Li-ion batteries, which are increasingly being used in Electric Vehicles (EV), grid-tied load-leveling applications as well as manned and unmanned aerial vehicles to name a few applications. In this paper, a novel approach using Deep Feedforward Neural Networks (DNN) is used for battery SOC estimation where battery measurements are directly mapped …

Authors

Chemali E; Kollmeyer PJ; Preindl M; Emadi A

Journal

Journal of Power Sources, Vol. 400, , pp. 242–255

Publisher

Elsevier

Publication Date

October 2018

DOI

10.1016/j.jpowsour.2018.06.104

ISSN

0378-7753