A simulation tool for energy management of e-mobility in urban areas

被引：1

作者：

Ferrara, Marina ^{[1
]}

Monechi, Bernardo ^{[2
]}

Valenti, Gaetano ^{[3
]}

Liberto, Carlo ^{[3
]}

Nigro, Marialisa ^{[1
]}

Biazzo, Indaco ^{[4
]}

机构：

[1] Roma Tre Univ, Dept Engn, Rome, Italy

[2] Sony, Comp Sci Lab, Paris, France

[3] ENEA, DTE PCU STMA, Lab Syst & Technol Sustainable Mobil & Elect Ener, Rome, Italy

[4] Polytech Univ Turin, Turin, Italy

来源：

MT-ITS 2019: 2019 6TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS) | 2019年

关键词：

Electric mobility; multimodal transport; energy management; smart charging strategy; EMISSIONS;

D O I：

10.1109/mtits.2019.8883386

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe a simulation tool developed to study city wide scenarios of e-mobility. The tool is intended to support e-mobility stakeholders in finding effective solutions to facilitate a widespread and sustainable EV adoption in urban areas. The tool includes a suite of integrated models designed to reproduce e-mobility pattern, charging behaviour and resulting impact on electricity demand at a high spatiotemporal resolution. The suite also includes models to evaluate multimodal mobility approaches and smart charging strategies including the use of renewable energy. The simulation tool has been tested in the metropolitan area of Rome (IT). We have used large scale collections of vehicle trajectory data to calibrate and validate the suite of models.

引用

页数：7

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