Electrification of Non-Road Mobile Machinery: A Tool for Motor Selection

Marco Ferrari, Chunjie Dai, Beltrami Daniele, Uberti Stefano

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this research paper, a MATLAB-based tool is designed to assist users in selecting and dimensioning electric motors for electrification of the powertrain of Non-Road Mobile Machinery (NRMM). The tool leverages a normalized duty cycle, which is then scaled based on the specific application requirements. By plotting the scaled duty cycle on an efficiency map of an electric motor, the evaluation of the suitability of the electric machine is performed for the proposed heavy-duty application and powertrain. The primary purpose of this tool is to streamline the design and realization process of electric powertrains for Non-Road Mobile Machinery.

Original languageEnglish
Title of host publication2024 International Conference on Electrical Machines, ICEM 2024
PublisherIEEE
ISBN (Electronic)9798350370607
ISBN (Print)979-8-3503-7061-4
DOIs
Publication statusPublished - 2024
Publication typeA4 Article in conference proceedings
EventInternational Conference on Electrical Machines - Torino, Italy
Duration: 1 Sept 20244 Sept 2024
Conference number: 26

Publication series

Name2024 Proceedings International Conference on Electrical Machines, ICEM 2024
ISSN (Print)2381-4802
ISSN (Electronic)2473-2087

Conference

ConferenceInternational Conference on Electrical Machines
Abbreviated titleICEM
Country/TerritoryItaly
CityTorino
Period1/09/244/09/24

Keywords

  • duty cycle evaluation
  • electric motor
  • Non-Road Mobile Machinery
  • software tool

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Electrification of Non-Road Mobile Machinery: A Tool for Motor Selection'. Together they form a unique fingerprint.

Cite this