An improved cell transmission model of traffic considering electric vehicles and charging stations

Hongping Wang (1) , Yiping Fang (2, 1) , Enrico Zio (2, 1)

1 LGI - Laboratoire Génie Industriel - EA 2606
2 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

In this paper, we extend a previously introduced traffic cell transmission model (CTM) to take electric vehicles (EVs) and charging stations (CSs) into account. The CTM is improved in the following aspects: firstly, traffic demand of multiple origins-destinations (O-D) is considered, whereas the original CTM can not simulate the specific traffic demand of each O-D pair; secondly, CSs are integrated into CTM by developing new queueing cells and charging cells, which could also describe the specific configurations of each CS and model the queueing phenomenon in CSs; third, EVs at different states of charge are considered and, thus, the spatial-temporal charging demands in CSs can be estimated with good approximation.

Mots clés: traffic simulation model; electric vehicles; spatial-temporal charging demand; charging stations; cell transmission model

Domaines: Energie électrique; Infrastructures de transport; Ingénierie assistée par ordinateur; Modélisation et simulation

Hongping Wang, Yiping Fang, Enrico Zio. An improved cell transmission model of traffic considering electric vehicles and charging stations. 2019 IEEE Milan PowerTech, Jun 2019, Milan, France. pp.1-5, ⟨10.1109/PTC.2019.8810629⟩. ⟨hal-02307336⟩