Conference item
Optimal energy management for hybrid electric aircraft
- Abstract:
- A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a point-mass aircraft dynamical model with models of electrical and mechanical powertrain losses, the fuel consumed over a planned future flight path is minimised subject to constraints on the battery, electric motor and gas turbine. The resulting optimisation problem is used to define a predictive energy management control law that takes into account the variation in aircraft mass during flight. A simulation study based on a representative 100-seat aircraft with a prototype parallel hybrid electric propulsion system is used to investigate the properties of the controller. We show that an optimisation-based control strategy can provide significant fuel savings over heuristic energy management strategies in this context.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Preview, Accepted manuscript, 585.4KB, Terms of use)
-
- Publisher copy:
- 10.1016/j.ifacol.2020.12.1672
Authors
- Publisher:
- Elsevier
- Journal:
- IFAC-PapersOnLine More from this journal
- Volume:
- 53
- Issue:
- 2
- Pages:
- 6043-6049
- Publication date:
- 2021-04-14
- Acceptance date:
- 2020-02-27
- Event title:
- 21st IFAC World Congress
- Event location:
- Berlin, Germany
- Event website:
- https://www.ifac2020.org/
- Event start date:
- 2020-07-12
- Event end date:
- 2020-07-17
- DOI:
- ISSN:
-
2405-8963
- Language:
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English
- Keywords:
- Pubs id:
-
1098742
- Local pid:
-
pubs:1098742
- Deposit date:
-
2020-04-06
Terms of use
- Copyright holder:
- IFAC.
- Copyright date:
- 2021
- Rights statement:
- © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
- Notes:
- This paper was presented at the 21st IFAC World Congress (IFAC 2020), July 11th-17th, Berlin, Germany. This is the accepted manuscript version of the article. The final version is available from Elsevier at: https://doi.org/10.1016/j.ifacol.2020.12.1672
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