Teodorescu, CS;
Vandenplas, S;
Depraetere, B;
Shariatmadar, K;
Vyncke, T;
Dutlou, J;
Nowe, A;
(2017)
An ECMS-based powertrain control of a parallel hybrid electric forklift.
In: Kloetzer, M and Ferariu, L, (eds.)
Proceedings of the 2017 21st International Conference on System Theory, Control and Computing (ICSTCC).
(pp. pp. 763-770).
IEEE
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Abstract
n this paper we focus on the supervisory control problem of a parallel hybrid electric vehicle (HEV): minimize fuel consumption while ensuring self-sustaining State-of-Charge (SoC). We reapply the state of the art methodology by comparing optimal results of Dynamic Programming (DP) against a real-time control candidate. After careful selection, we opted for an Equivalent Consumption Minimization Strategy (ECMS) based approach for the following reasons: (i) results are quite remarkable with less than 5% fuel usage increase when compared to DP; (ii) simple and intuitive tuning of control parameters; (iii) readily usable for code generation (prototyping). Topics that distinguish this article from others in the literature include: (i) the usage of trapezoidal rule of integration implementing DP and ECMS; consequently, the offline simulation results are intended to be more precise and representative when compared against the more common, often used rectangular rule; (ii) a particular post-processing procedure of the recorded driving cycle data based on physical interpretation; it allows consistent offline simulations with quite high sampling period (in the order of seconds); (iii) tuning of control parameters in such a way that control system is robust towards new, unknown, unpredictable but closely resembling driving cycles. In particular, we focus on the supervisory control of a forklift truck. The real-time control is able to compute: (i) the power split (i.e. a balanced usage between an internal combustion engine and a supercapacitor); (ii) the drivetrain control (i.e. automatic gear shifting and clutching). Numerous numerical implementation issues are discussed along our presentation.
| Type: | Proceedings paper |
|---|---|
| Title: | An ECMS-based powertrain control of a parallel hybrid electric forklift |
| Event: | 2017 21st International Conference on System Theory, Control and Computing (ICSTCC) |
| Location: | Sinaia, Romania |
| Dates: | 19th-21st October 2017 |
| ISBN-13: | 978-1-5386-3842-2 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://doi.org/10.1109/ICSTCC.2017.8107129 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | automotive application, hybrid electric vehicles, energy management, supervisory control, dynamic programming, real-time control |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10094033 |
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