Abstract

Electric Vehicles (EVs) market penetration rate is continuously increasing due to several aspects such as pollution reduction initiatives, government incentives, cost reduction, and fuel cost increase, among others. In the vehicular field, researchers frequently use simulators to validate their proposals before implementing them in real world, while reducing costs and time. In this work, we use our ns-3 network simulator enhanced version to demonstrate the influence of the map layout and the vehicle features on the EVs consumption. In particular, we analyze the estimated consumption of EVs simulating two different scenarios: (i) a segment of the E313 highway, located in the north of Antwerp, Belgium and (ii) the downtown of the city of Antwerp with real vehicle models. According to the results obtained, we demonstrate that the mass of the vehicle is a key factor for energy consumption in urban scenarios, while in contrast, the Air Drag Coefficient ( ${\text C}_{d}$ ) and the Front Surface Area (FSA) play a critical role in highway environments. The most popular and powerful simulations tools do no present combined features for mobility, realistic map-layouts and electric vehicles consumption. As ns-3 is one of the most used open source based simulators in research, we have enhanced it with a realistic energy consumption feature for electric vehicles, while maintaining its original design and structure, as well as its coding style guides. Our approach allows researchers to perform comprehensive studies including EVs mobility, energy consumption, and communications, while adding a negligible overhead.

Highlights

  • Automobile factoring has become one of the most important world-wide industries, at economic level and in terms of research and development

  • In this subsection we present the consumption model used in our simulations, which allows the simulation of Electric Vehicles (EVs) energy consumption

  • ENABLING EV CONSUMPTION SIMULATION IN NS-3 we present the implementation of the consumption model at ns-3 in order to allow researchers to perform accurate simulations to estimate EV energy consumption including realistic vehicular features and realistic roadmaps

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Summary

Introduction

Automobile factoring has become one of the most important world-wide industries, at economic level and in terms of research and development. Enhancing the safety of both in-vehicle and road users has been the first step of a series of developments in the automotive industry. Another consideration it is the ever-increasing number of vehicles. Present in our roads and the effects produced by this situation, such as traffic jams and pollution. Several advancements in order to mitigate the above mentioned undesirable situations have been proposed in the recent years [2]–[4], and the Electric Vehicle (EV).

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