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Comparative Study of Hybrid Powertrain Architectures from a Fuel Economy Perspective

Chen, B; Li, X; Evangelou, S; (2018) Comparative Study of Hybrid Powertrain Architectures from a Fuel Economy Perspective. In: Deng, Kevin, (ed.) Proceedings of the 14th International Symposium on Advanced Vehicle Control. AVEC: Beijing, China. Green open access

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Abstract

Depending on the structure of powertrain components, modern hybrid electric vehicles (HEVs) are usually categorized into different types, which influence the design and performance of energy management control strategies. This paper investigates the impact of non-plug-in HEV powertrain architectures on the fuel economy, where Dynamic Programming is used to find the optimal power split between the powertrain energy sources. The series and three parallel architectures that include through-the-road, pre- and posttransmission parallel, all with properly sized powertrain components, are compared. Three human-driver speed profiles collected respectively from urban, rural, and highway driving conditions are employed for the assessment. The comparative results demonstrate the energy saving potential of different types of HEVs and provide further insight into the practical choice of the hybrid powertrain architectures.

Type: Proceedings paper
Title: Comparative Study of Hybrid Powertrain Architectures from a Fuel Economy Perspective
Event: 14th International Symposium on Advanced Vehicle Control
Dates: 16 July 2018 - 20 July 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: http://avec2018.org/
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 > 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/10083602
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