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An ECMS-based powertrain control of a parallel hybrid electric forklift

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 Green open access

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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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