Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37603
Title: Adaptive neural-Fuzzy controller (ANFC) based energy management system for battery/ultracapacitor electric vehicle
Authors: Fung, EHK
Wong, YK 
Wang, Y
Keywords: Control equipment
Ultracapacitors
Electric vehicles
Energy management systems
Batteries
Issue Date: 2012
Source: Proceedings of the ASME 2012 International Mechanical Engineering Congress and Exposition, Houston, Texas, USA, November 9–15, 2012, v. 1, paper no. IMECE2012-85929, p. 283-289 How to cite?
Abstract: In order to improve fuel economy of electric vehicles, a battery/ultra-capacitor energy storage system is proposed and tested in AVL-Cruise. The battery is treated as the main power source of the vehicle, and the ultra-capacitor will store the energy when braking. In this paper, an adaptive neural-fuzzy controller is developed to control the energy system. It can split the power flow in a more efficient manner. The simulation result shows the new control strategy has a better fuel economy than the traditional fuzzy logic controller.
URI: http://hdl.handle.net/10397/37603
ISBN: 978-0-7918-4527-1
DOI: 10.1115/IMECE2012-85929
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

32
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.