Estimation of the Energy Consumption of an Electric Utility Vehicle: A Case Study

Gianina Garrido-Silva, Jessica Gissella Maradey-Lazaro, Arly Dario Rincón-Quintero, Omar Lengerke-Pérez, Camilo Leonardo Sandoval-Rodriguez, Carlos Gerardo Cardenas-Arias

Research output: Book / Book Chapter / ReportResearch Bookspeer-review

5 Scopus citations

Abstract

The development of electric vehicles (EV’s) has been growing in last decade since is a promising technology that will optimize the use of energy. The estimation of energy consumption is a key task to design and select components of power train, control strategies and predict lifecycle. Some factors such as road slope, temperature, type of route, driver’s behavior directly affect the energy consumption. This article provides an easy methodology to estimate energy consumption for an electric utility vehicle (EUV) using Green Race Software, which allows different types of routes, estimate a road slope, energy consumption and percentage of regeneration. From this analysis, is possible to decide the best route for harvesting cocoa and sizing the powertrain of the vehicle before purchasing materials. The most important advantage of the proposal method is that can be used in early stage of design and assembly of EV’s.

Original languageEnglish
Title of host publicationRecent Advances in Electrical Engineering, Electronics and Energy - Proceedings of the CIT 2020
EditorsMiguel Botto Tobar, Henry Cruz, Angela Díaz Cadena
PublisherSpringer Science and Business Media Deutschland GmbH
Pages257-272
Number of pages16
ISBN (Print)9783030722111
DOIs
StatePublished - 2021
Event15th Multidisciplinary International Congress on Science and Technology, CIT 2020 - Quito, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume763 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference15th Multidisciplinary International Congress on Science and Technology, CIT 2020
Country/TerritoryEcuador
CityQuito
Period26/10/2030/10/20

Keywords

  • Electric vehicle
  • Energy consumption
  • Vehicle autonomy

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