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A Discrete Event-Driven Model for Electric Vehicles Predictive Charging

A Discrete Event-Driven Model for Electric Vehicles Predictive Charging

Azizbek Ruzmetov, Ahmed Nait-Sidi-Moh, Mohamed Bakhouya, Jaafar Gaber, Marie-Ange Manier
Copyright: © 2015 |Volume: 6 |Issue: 2 |Pages: 24
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781466678484|DOI: 10.4018/IJARAS.2015070102
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MLA

Ruzmetov, Azizbek, et al. "A Discrete Event-Driven Model for Electric Vehicles Predictive Charging." IJARAS vol.6, no.2 2015: pp.23-46. http://doi.org/10.4018/IJARAS.2015070102

APA

Ruzmetov, A., Nait-Sidi-Moh, A., Bakhouya, M., Gaber, J., & Manier, M. (2015). A Discrete Event-Driven Model for Electric Vehicles Predictive Charging. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 6(2), 23-46. http://doi.org/10.4018/IJARAS.2015070102

Chicago

Ruzmetov, Azizbek, et al. "A Discrete Event-Driven Model for Electric Vehicles Predictive Charging," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 6, no.2: 23-46. http://doi.org/10.4018/IJARAS.2015070102

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Abstract

Very great research efforts have been made in the last decades to further develop and promote electric vehicles (EVs), their charging infrastructures, and operation techniques. However, little attention has been paid so far to the management of their charging planning, EVs assignment and mainly drivers' assistance to get into adequate charging stations (CSs). The charging planning and EVs assignment need to be predicted taking into consideration all operating constraints of charging systems including EV characteristics, status of CSs, road traffic, etc. This paper presents a discrete event driven model for EVs predictive charging. The authors mainly focus on behavior modeling of the charging system using (max, +) algebra and Petri nets. The model is then used to anticipate maximum charging times and charging rates of EVs while respecting their various constraints.

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