A Review of Intelligent Road Preview Methods for Energy Management of Hybrid Vehicles.pdf (1.05 MB)
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A review of intelligent road preview methods for energy management of hybrid vehicles

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conference contribution
posted on 26.03.2019, 16:21 by Wen Gu, Dezong Zhao, Byron Mason
Due to the shortage of fuel resources and concerns of environmental pressure, vehicle electrification is a promising trend. Hybrid vehicles are suitable alternatives to traditional vehicles. Travelling information is essential for hybrid vehicles to design the optimal control strategy for fuel consumption minimization and emissions reduction. In general, there are two ways to provide the information for the energy management strategy (EMS) design. First is extracting terrain information by utilizing global positioning system (GPS) and intelligent transportation system (ITS). However, this method is difficult to be implemented currently due to the computational complexity of extracting information. This leads to the second method which is predicting future vehicle speed and torque demand in a certain time horizon based on current and previous vehicle states. To support optimal EMS development, this paper presents a comprehensive review of prediction methods based on different levels of trip information for the EMS of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle (PHEV).

Funding

The work was cofunded by the Digital Engineering and Test Centre (DETC), under a grant for the virtually connected hybrid vehicle. DETC is a unique joint industry academic centre, also as an Advanced Propulsion Centre spoke. It develops and uses virtual engineering tools and techniques to accelerate the development, test and manufacture of automotive propulsion systems. This work was supported by the Engineering and Physical Sciences Research Council of U.K. under the EPSRCUKRI Innovation Fellowship scheme (EP/S001956/1).

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IFAC-PapersOnLine

Volume

52

Issue

5

Pages

654 - 660

Citation

GU, W., ZHAO, D. and MASON, B., 2019. A review of intelligent road preview methods for energy management of hybrid vehicles. IFAC-PapersOnLine, 52 (5), pp.654-660.

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© IFAC (International Federation of Automatic Control)

Publisher statement

This paper was accepted for publication in the journal IFAC-PapersOnLine and the definitive published version is available at https://doi.org/10.1016/j.ifacol.2019.09.104.

Acceptance date

14/06/2019

Publication date

2019-07-15

Copyright date

2019

Notes

This paper was presented at the 9th IFAC Symposium on Advances in Automotive Control (AAC 2019), Orléans, France, 23-27 June 2019.

ISSN

2405-8963

Language

en