Next Article in Journal
Voltage Stability and System Behavior of Cybernetic Loads in Vehicular Power Nets
Previous Article in Journal
Expanding the Fast Charging Network
Article Menu

Article Versions

Export Article

World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on as a courtesy and upon agreement with AVERE.
Open AccessArticle

A Behavioral Algorithm for State of Charge Estimation

UC Los Angeles Electrical Engineering Electrical Engineering Dept., UCLA, Los Angeles, California, 90095, U.S
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2012, 5(2), 412-417;
Published: 29 June 2012
PDF [313 KB, uploaded 17 May 2018]


In Hybrid Electricle Vehicles (HEV), performing online energy management is an important task to be achieved to reduce emissions, fuel consumption and increase vehicle performance. For this task, estimating the State of Charge (SOC) is needed since it serves as a measure of energy that is left inside an electrochemical battery. A variety of methods to solve this estimation problem have been proposed in the literature. However, most of these methods either assume equivalent circuit models for the battery and thus lose their validity under some discharge conditions or depend heavily on the choice of parameters in the algorithm. In this paper, we use behavioral framework to avoid postulation of a specific model for a battery and develop a new and simple SOC estimation algorithm. Once the problem is formulated as the computation of a specific free response of the battery, algorithm computes this response using only terminal current and terminal voltage measurements. We demonstrate the effectiveness of the algorithm with different discharge profiles using both simulated and real data.
Keywords: battery management; battery charge; state of charge battery management; battery charge; state of charge
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Balkan, A.; Gao, M.; Tabuada, P.; He, L. A Behavioral Algorithm for State of Charge Estimation. World Electr. Veh. J. 2012, 5, 412-417.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top