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Robust Data-Driven Battery State of Charge...
Journal article

Robust Data-Driven Battery State of Charge Estimation for Hybrid Electric Vehicles

Abstract

This article presents a method to estimate the State of Charge (SOC) in Lithium-ion batteries of Hybrid Electric Vehicles (HEVs) with Artificial Neural Networks (ANNs). The inputs of the SOC estimation algorithm are the measured values of current, voltage, and temperature. In the article, two different battery packs are considered for a power-split full HEV. The training and validation datasets needed for developing the ANNs are generated …

Authors

Feraco S; Anselma PG; Bonfitto A; Kollmeyer PJ

Journal

SAE International Journal of Electrified Vehicles, Vol. 11, No. 2, pp. 213–230

Publisher

SAE International

DOI

10.4271/14-11-02-0017

ISSN

2691-3747

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