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Hybrid Electric Vehicle Two-step Fuel Efficiency Optimization with Decoupled Energy Management and Speed Control

Chen, B; Evangelou, S; Lot, R; (2019) Hybrid Electric Vehicle Two-step Fuel Efficiency Optimization with Decoupled Energy Management and Speed Control. IEEE Transactions on Vehicular Technology , 68 (12) pp. 11492-11504. 10.1109/TVT.2019.2948192. Green open access

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Abstract

Hybrid electric vehicles (HEVs) offer an effective solution for emissions reduction and fuel energy savings. The pursuit of further improvements in their energy efficiency has led to the two fundamental optimization challenges of vehicle speed and powertrain energy management (EM), which are inherently coupled. This paper examines the vehicle speed and powertrain EM co-optimization problem for fuel economy for a series HEV following a prescribed route with expected traveling time. In order to overcome the computational burden of a large scale optimal control problem, this work presents a novel two-step optimal control strategy that suitably separates the co-optimization problem on the basis of involving the characteristics of the HEV powertrain power split and losses in the speed optimization step without an explicit use of a powertrain model. A benchmark method that simultaneously solves the optimal driving speed and the energy source power split is introduced, which is used to show the solution quality of the proposed approach. It is illustrated that the proposed method yields a driving speed solution close to the benchmark method, and additionally it outperforms the benchmark fuel economy, with much higher computational efficiency. The simplicity and effectiveness of the proposed two-step approach make it a practical and implementable EM control strategy.

Type: Article
Title: Hybrid Electric Vehicle Two-step Fuel Efficiency Optimization with Decoupled Energy Management and Speed Control
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVT.2019.2948192
Publisher version: https://doi.org/10.1109/TVT.2019.2948192
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
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/10083601
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