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Download fileOptimising the energy efficiency and transient response of diesel engines through an electric turbocharger
conference contribution
posted on 2019-03-26, 15:28 authored by Dezong Zhao, Richard Stobart, Byron MasonThe 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 ConferencePages
298 - 303Citation
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
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© AACCPublisher 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
2019-01-27Publication date
2019-08-29Copyright date
2019ISBN
9781538679265ISSN
2378-5861Publisher version
Language
- en