Characterisation of micro turbine generator as a range extender using an automotive drive cycle for series hybrid electric vehicle application

Raja Mazuir Bin Raja Ahsan Shah, Andrew McGordon, Md Mustafizur Rahman, Mark Amor-Segan, Paul Jennings

Research output: Contribution to journalArticle

Abstract

This study investigated a micro turbine generator (MTG) as a range extender for a series hybrid electric vehicle application for a range of constant and dynamic power demand strategies. The power demands were calculated through a mathematical model based on a specific vehicle platform using the New European Drive Cycle (NEDC). The power demands were then used to characterize the MTG in a controlled test environment. Each of the strategies produced interesting results in terms of fuel consumption, specific emissions, net efficiency, and power responses. The experimental results revealed the lowest specific emissions, and fuel consumption while the MTG operated at constant power demand. One of the dynamic power demand strategies also produced low fuel consumption, but with higher specific emissions. Although exhaust emissions in each strategy were well below the Euro 6c limits. These results indicate the potential of MTG as a range extender in a series hybrid vehicle. Even, the MTG can be operated dynamically with relatively low fuel consumption and very low specific emissions, compared to the traditional approach of a constant power demand.
Original languageEnglish
Article number116302
Pages (from-to)(In-press)
JournalApplied Thermal Engineering
Volume(In-press)
Early online date8 Nov 2020
DOIs
Publication statusE-pub ahead of print - 8 Nov 2020

Keywords

  • Energy storage
  • Hybrid vehicle
  • Micro gas turbine
  • Propulsion system
  • Validation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Characterisation of micro turbine generator as a range extender using an automotive drive cycle for series hybrid electric vehicle application'. Together they form a unique fingerprint.

Cite this