Design of a Highly Integrated Electric-Hydraulic Machine for Electrifying Off-Highway Vehicles

F. N.U. Nishanth, Garrett Bohach, James Van De Ven, Eric L. Severson

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

17 Scopus citations

Abstract

Off-highway vehicles represent a major portion of US energy consumption and greenhouse gas emissions. Electrifying or hybridizing these systems has the potential to yield substantial fuel savings through both efficiency improvements and energy recovery over the drive cycle. However, the extreme power density and transients of these systems pose unique challenges to electrification that have so-far prevented broad commercial success. To overcome these challenges, this paper proposes an integrated electric-to-hydraulic conversion machine. Three novel topologies are proposed which combine the rotor of radial and axial flux machines with an eccentric ball piston hydraulic pump. Design objectives for use in off-highway vehicles are defined, a sizing analysis is performed on each topology, and one topology is selected and optimized to investigate its suitability for meeting the unique requirements of an off-highway vehicle.

Original languageEnglish (US)
Title of host publication2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3983-3990
Number of pages8
ISBN (Electronic)9781728103952
DOIs
StatePublished - Sep 2019
Event11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/TerritoryUnited States
CityBaltimore
Period9/29/1910/3/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Axial flux motor
  • Ball piston pump
  • Electric-hydraulic conversion
  • Machine design
  • Multi-objective optimization

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