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Performance Analysis of an Urban Passenger Vehicle Powertrain Operating in Various Driving Cycle and Speed Profiles Using MatLab Simscape Models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper refers to the powertrain systems in urban electric passenger vehicles (EPV). The purpose of the work is to analyse the performance of the powertrain systems of an EPV with different parameters operating in various driving cycles and speed profiles. This paper introduces some modifications to the Simscape model of the EPV powertrain system model developed in previous studies. The analysis method uses the simulation modelling of the EPV powertrain and performance analyses during a standard driving cycle and speed profiles with a graphical and numerical representation of the results. Simulations show that the operating areas in which EPV powertrains work during urban and highway driving cycle profiles differ, and the efficiency of the EPV system overall is influenced, which can be improved by introducing a two-speed transmission in the EPV powertrain architecture.

Original languageEnglish
Title of host publication2023 International Conference on Electromechanical and Energy Systems
PublisherIEEE
ISBN (Electronic)9798350315240
DOIs
Publication statusPublished - 30 Oct 2023
Event2023 International Conference on Electromechanical and Energy Systems - Craiova, Romania
Duration: 11 Oct 202313 Oct 2023

Conference

Conference2023 International Conference on Electromechanical and Energy Systems
Abbreviated titleSIELMEN 2023
Country/TerritoryRomania
CityCraiova
Period11/10/2313/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • driving cycle profiles
  • EB performance
  • electric bus
  • powertrain system
  • simscape model
  • six-phase induction motor
  • speed profile

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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