@inproceedings{scholars5747,
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
            note = {cited By 2; Conference of 10th Asian Control Conference, ASCC 2015 ; Conference Date: 31 May 2015 Through 3 June 2015; Conference Code:117644},
             doi = {10.1109/ASCC.2015.7244540},
         journal = {2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015},
           title = {Implementation of energy management system for a split-parallel hybrid electric vehicle with in-wheel motors},
            year = {2015},
            isbn = {9781479978625},
          author = {Zulkifli, S. A. and Mohd, S. and Jamali, A. J. and Kurniawan, Y. and Saad, N. and Aziz, A. R. A.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957675442&doi=10.1109\%2fASCC.2015.7244540&partnerID=40&md5=19dccb69efcb455aecd44e1ea9c28690},
        abstract = {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. {\^A}{\copyright} 2015 IEEE.}
}