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Series Hybrid Electric Vehicle Simultaneous Energy Management and Driving Speed Optimization

Chen, B; Evangelou, SA; Lot, R; (2019) Series Hybrid Electric Vehicle Simultaneous Energy Management and Driving Speed Optimization. IEEE/ASME Transactions on Mechatronics 10.1109/tmech.2019.2943320. (In press). Green open access

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Abstract

The energy management (EM) and driving speed co-optimization of a series hybrid electric vehicle (S-HEV) for minimizing fuel consumption is addressed in this article on the basis of a suitably modeled series powertrain architecture. The paper proposes a novel strategy that finds the optimal driving speed simultaneously with the energy source power split for the drive mission specified in terms of the road geometry and travel time. Such a combined optimization task is formulated as an optimal control problem that is solved by an indirect optimal control method, based on Pontryagin’s minimum principle. The optimization scheme is tested under a rural drive mission by extensive comparisons with conventional methods that deal with either speed optimization only or EM strategies with given driving cycles. The comparative results show the superior performance of the proposed method and provide further insight into efficient driving.

Type: Article
Title: Series Hybrid Electric Vehicle Simultaneous Energy Management and Driving Speed Optimization
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tmech.2019.2943320
Publisher version: https://doi.org/10.1109/tmech.2019.2943320
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.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10082832
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