Energy Management for RCCI Engines with Electrically-Assisted Turbocharging. Issue 24 (2022)
- Record Type:
- Journal Article
- Title:
- Energy Management for RCCI Engines with Electrically-Assisted Turbocharging. Issue 24 (2022)
- Main Title:
- Energy Management for RCCI Engines with Electrically-Assisted Turbocharging
- Authors:
- van Zuijlen, Roy
Kupper, Frank
Willems, Frank - Abstract:
- Abstract: In this paper, Reactivity Controlled Compression Ignition (RCCI) with an electrically-assisted turbocharger (E-turbo) is investigated. This is a promising concept for future green transport, since it can realize very high thermal efficiencies for a wide range of renewable fuels. The combination of RCCI with an E-turbo requires a new approach to manage the energy flows of the engine due to constraints on the storage of electrical energy. The E-turbo shows most potential to increase the engine's thermal efficiency by improved tracking performance of the desired intake conditions. To exploit the full potential of the E-turbo during transients, a dynamic decoupling feedback controller is designed. A supervisory controller based on Pontryagin's Minimum Principle is composed to maximize the brake thermal efficiency while the battery of the E-turbo remains charge sustaining. The supervisory controller determines setpoints for the feedback controller and ensures therefore optimal engine operation during transients. For the simulated, real-world based transient-cycle, fuel savings of 0.64 [%] are realized by the developed supervisory control, while remaining charge sustaining.
- Is Part Of:
- IFAC-PapersOnLine. Volume 55:Issue 24(2022)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 55:Issue 24(2022)
- Issue Display:
- Volume 55, Issue 24 (2022)
- Year:
- 2022
- Volume:
- 55
- Issue:
- 24
- Issue Sort Value:
- 2022-0055-0024-0000
- Page Start:
- 354
- Page End:
- 359
- Publication Date:
- 2022
- Subjects:
- Engine modelling -- engine control -- energy management systems -- energy control -- dynamic decoupling -- hybrid vehicles -- optimal control
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2022.10.309 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24117.xml