Study of HEV power management control strategy based on driving pattern recognition

Tools

Wei, Zhen, Xu, Z. and Halim, Dunant (2016) Study of HEV power management control strategy based on driving pattern recognition. Energy Procedia, 88 . pp. 847-853. ISSN 1876-6102

[img]
Preview
 PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (694kB) | Preview

Abstract

In this work, an optimized HEV power management fuzzy control strategy is proposed with the aim to further improve the fuel efficiency of the rule-based control strategy and overcome the drawbacks of the conventional control strategies. The driving pattern recognition method is used to classify the driving condition into one of the driving patterns to select proper control algorithm. The dynamic programming solution is used to design the fuzzy control strategies for each driving pattern. The simulation results indicate that by adopting the proposed strategy the fuel efficiency of HEV is improved, especially under complex driving conditions.

Item Type: Article
Additional Information: ©Elsevier
Keywords: HEV; driving cycle; energy management; fuzzy logic control
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Electrical and Electronic Engineering
University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: https://doi.org/10.1016/j.egypro.2016.06.062
Depositing User: Yu, Tiffany
Date Deposited: 10 Aug 2018 08:14
Last Modified: 10 Aug 2018 08:14
URI: https://eprints.nottingham.ac.uk/id/eprint/53307

Actions (Archive Staff Only)

Edit View Edit View