Practical Estimation of Rolling Energy of an Electric Vehicle using onboard GPS

EasyChair Preprint no. 2462

Abstract

In this paper, we have developed a practical model for measuring GPS data (i.e. latitudes, longitude, altitude and speed as well as time) during the movement of a vehicle between two geographical points in Morocco. These measures are taken between Marrakech and Safi as well as Safi and Rabat. This data will be used to estimate the power required for this movement using an onboard GPS controlled by an Arduino Mega. For electric vehicles, it is essential to know as much as possible about the current traffic situation so as not to drain the battery. To this end, knowledge of estimated energy consumption is much more relevant than knowledge of average travel time. This paper aims to provide a literature review of current energy consumption patterns and adapts current dynamic traffic information to electrical conduction.

Keyphrases: Arduino Mega and Onboard GPS., Electrical Vehicle and Energy Estimation, MATLAB and Simulink

@Booklet{EasyChair:2462,
  author = {Abdelhak Boudallaa and Mohammed Chennani and Karim Rhoufir and Driss Belkhayat},
  title = {Practical Estimation of Rolling Energy of an Electric  Vehicle using onboard GPS},
  howpublished = {EasyChair Preprint no. 2462},

  year = {EasyChair, 2020}}