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Article

A Virtual Sensor for Electric Vehicles’ State of Charge Estimation

1
Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria, I-20135 Milano, Italy
2
Department of Electronics Engineering, Pontificia Universidad Javeriana, 110321 Bogotá, Colombia
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(2), 278; https://doi.org/10.3390/electronics9020278
Received: 17 January 2020 / Revised: 31 January 2020 / Accepted: 2 February 2020 / Published: 6 February 2020
The estimation of the state of charge is a critical function in the operation of electric vehicles. The battery management system must provide accurate information about the battery state, even in the presence of failures in the vehicle sensors. This article presents a new methodology for the state of charge estimation (SOC) in electric vehicles without the use of a battery current sensor, relying on a virtual sensor, based on other available vehicle measurements, such as speed, battery voltage and acceleration pedal position. The estimator was derived from experimental data, employing support vector regression (SVR), principal component analysis (PCA) and a dual polarization (DP) battery model (BM). It is shown that the obtained model is able to predict the state of charge of the battery with acceptable precision in the case of a failure of the current sensor. View Full-Text
Keywords: E-mobility; electric vehicle; state of charge; simulation; estimation; virtual sensors; smart sensors E-mobility; electric vehicle; state of charge; simulation; estimation; virtual sensors; smart sensors
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MDPI and ACS Style

Gruosso, G.; Storti Gajani, G.; Ruiz, F.; Valladolid, J.D.; Patino, D. A Virtual Sensor for Electric Vehicles’ State of Charge Estimation. Electronics 2020, 9, 278. https://doi.org/10.3390/electronics9020278

AMA Style

Gruosso G, Storti Gajani G, Ruiz F, Valladolid JD, Patino D. A Virtual Sensor for Electric Vehicles’ State of Charge Estimation. Electronics. 2020; 9(2):278. https://doi.org/10.3390/electronics9020278

Chicago/Turabian Style

Gruosso, Giambattista, Giancarlo Storti Gajani, Fredy Ruiz, Juan D. Valladolid, and Diego Patino. 2020. "A Virtual Sensor for Electric Vehicles’ State of Charge Estimation" Electronics 9, no. 2: 278. https://doi.org/10.3390/electronics9020278

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