Fuzzy logic control for energy saving in autonomous electric vehicles

Simple item page
dc.contributor.authorAl-Jazaeri, Ahmed O.
dc.contributor.authorSamaranayake, Lilantha
dc.contributor.authorLongo, Stefano
dc.contributor.authorAuger, Daniel J.
dc.date.accessioned2016-03-09T11:51:21Z
dc.date.available2016-03-09T11:51:21Z
dc.date.issued2015-03-06
dc.description.abstractLimited battery capacity and excessive battery dimensions have been two major limiting factors in the rapid advancement of electric vehicles. An alternative to increasing battery capacities is to use better: intelligent control techniques which save energy on-board while preserving the performance that will extend the range with the same or even smaller battery capacity and dimensions. In this paper, we present a Type-2 Fuzzy Logic Controller (Type-2 FLC) as the speed controller, acting as the Driver Model Controller (DMC) in Autonomous Electric Vehicles (AEV). The DMC is implemented using realtime control hardware and tested on a scaled down version of a back to back connected brushless DC motor setup where the actual vehicle dynamics are modelled with a Hardware-In-the-Loop (HIL) system. Using the minimization of the Integral Absolute Error (IAE) has been the control design criteria and the performance is compared against Type-1 Fuzzy Logic and Proportional Integral Derivative DMCs. Particle swarm optimization is used in the control design. Comparisons on energy consumption and maximum power demand have been carried out using HIL system for NEDC and ARTEMIS drive cycles. Experimental results show that Type-2 FLC saves energy by a substantial amount while simultaneously achieving the best IAE of the control strategies tested.en_UK
dc.identifier.citationA. O. Al-Jazaeri, L. Samaranayake, S. Longo and D. J. Auger. Fuzzy logic control for energy saving in autonomous electric vehicles. Proceedings of the 2014 IEEE International Electric Vehicle Conference (IEVC), 17-19 September 2014, Florence, Italy. pp1-6en_UK
dc.identifier.isbn978-1-4799-6075-0
dc.identifier.urihttp://dx.doi.org/10.1109/IEVC.2014.7056100
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/9765
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.titleFuzzy logic control for energy saving in autonomous electric vehiclesen_UK
dc.typeConference paper

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Energy_saving_in_autonomous_electric_vehicles-2015.pdf
Size:
1.64 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)