Implementation of energy management system for a split-parallel hybrid electric vehicle with in-wheel motors

This paper discusses the development of an energy management and supervisory control system (EMS) for a hybrid electric vehicle (HEV). It is built on National Instruments' CompactRIO embedded controller and LabVIEW Real-Time software platform. The EMS functions as the primary vehicle controller...

Full description

Saved in:
Bibliographic Details
Main Authors: Zulkifli, S.A., Mohd, S., Jamali, A.J., Kurniawan, Y., Saad, N., Aziz, A.R.A.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957675442&doi=10.1109%2fASCC.2015.7244540&partnerID=40&md5=19dccb69efcb455aecd44e1ea9c28690
http://eprints.utp.edu.my/31560/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper discusses the development of an energy management and supervisory control system (EMS) for a hybrid electric vehicle (HEV). It is built on National Instruments' CompactRIO embedded controller and LabVIEW Real-Time software platform. The EMS functions as the primary vehicle controller whose objective is to achieve optimal operation of the hybrid propulsion system - reduced fuel consumption and self-sustaining energy storage, since the vehicle is a non-plug-in hybrid. The HEV derives its propulsion power from two sources - an internal combustion engine (ICE) and an electric motor. The EMS receives inputs of throttle position, vehicle speed, engine rpm and battery state of charge (SOC). Based on a certain control algorithm, it then determines the two sources' operation status and power distribution, and charging of battery pack. A graphical driver interface is implemented on a tablet PC with a TCP/IP connection to the EMS controller. A LabVIEW-based interface appears on a dynamically-controllable HTML page hosted by the web server function of the CompactRIO, enabling the driver to monitor and override control of the hybrid vehicle. © 2015 IEEE.