Loughborough University
Browse
1-FFFB.pdf (1.43 MB)

Optimising the energy efficiency and transient response of diesel engines through an electric turbocharger

Download (1.43 MB)
conference contribution
posted on 2019-03-26, 15:28 authored by Dezong Zhao, Richard Stobart, Byron Mason
The electric turbocharger provides great potential for vehicle fuel efficiency improvement, exhaust emissions reduction and transient response acceleration. It makes the engine runs as a hybrid system so critical challenges are raised in energy management and control. This paper proposes a realtime energy management strategy for the electric turbocharger. A multi-variable explicit model predictive controller is designed to regulate the key variables in the engine air system, while the optimal setpoints of those variables are generated by a high level controller. The controllers work in a highly efficient way to achieve the optimal energy management. This strategy has been validated in simulations and experiments. Excellent tracking performance and high robustness demonstrate the effectiveness of the proposed method.

Funding

This work was co-funded by Innovate UK, under a grant for the Low Carbon Vehicle IDP4 Programme (TP14/LCV/6/I/BG011L). This work was also co-funded by Engineering and Physical Sciences Research Council of U.K. under the EPSRC-UKRI Innovation Fellowship scheme (EP/S001956/1).

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

American Control Conference

Pages

298 - 303

Citation

ZHAO, D., STOBART, R. and MASON, B.S., 2019. Optimising the energy efficiency and transient response of diesel engines through an electric turbocharger. Presented at the American Control Conference (ACC), Philadelphia, PA, USA, 10-12 July 2019.

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© AACC

Publisher statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2019-01-27

Publication date

2019-08-29

Copyright date

2019

ISBN

9781538679265

ISSN

2378-5861

Language

  • en

Location

Philadelphia, USA

Event dates

10-12 July 2019

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC