Journal article
Fast optimal energy management with engine on/off decisions for plug-in hybrid electric vehicles
- Abstract:
- In this letter we demonstrate a novel alternating direction method of multipliers (ADMM) algorithm for the solution of the hybrid vehicle energy management problem considering both power split and engine on/off decisions. The solution of a convex relaxation of the problem is used to initialize the optimization, which is necessarily nonconvex, and whilst only local convergence can be guaranteed, it is demonstrated that the algorithm will terminate with the optimal power split for the given engine switching sequence. The algorithm is compared in simulation against a charge-depleting/charge-sustaining (CDCS) strategy and dynamic programming (DP) using real world driver behaviour data, and it is demonstrated that the algorithm achieves 90% of the fuel savings obtained using DP with a 3000-fold reduction in computational time.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 655.4KB, Terms of use)
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- Publisher copy:
- 10.1109/LCSYS.2019.2920164
Authors
- Publisher:
- IEEE
- Journal:
- IEEE Control Systems Letters More from this journal
- Volume:
- 3
- Issue:
- 4
- Pages:
- 1074-1079
- Publication date:
- 2019-05-31
- Acceptance date:
- 2019-05-24
- DOI:
- EISSN:
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2475-1456
- Keywords:
- Pubs id:
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pubs:1003635
- UUID:
-
uuid:37fc6152-e532-47a5-9e51-78b612534484
- Local pid:
-
pubs:1003635
- Source identifiers:
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1003635
- Deposit date:
-
2019-05-30
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Notes:
- Copyright © 2019 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/LCSYS.2019.2920164
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