Test bench model and algorithms for multi-sources light electric vehicle energy management system

M. A. Hannan, F. A. Azidin, A. Mohamed, M. N. Uddin

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

© 2015 IEEE. Due to the increasing awareness of oil depletion and the growing appreciation for green technology, electric vehicles (EVs) are now a widespread form of vehicle transportation. Single-source EVs such as battery electric vehicles (BEVs) have the drawbacks of limited life cycles and self-discharge. This paper proposes a test bench model to evaluate the performance of a multi-source light electric vehicle (LEV) energy management system (EMS) to overcome the shortcomings of single-source EVs. The EMS model contains intelligent switching controller hardware that is designed and implemented to select the most efficient energy source. The circuit board contains a DC chopper that can drive any DC load and is connected to a dSPACE DS1104 digital signal processor (DSP) for real-time data acquisition. Experimental results validate that the multi-source powered LEV can achieve both the standard drive cycles regulations ECE-47 and ECE-15. To evaluate the power efficiency in the extended ECE-47 cycle, the multi-source LEV performs better than that of a single source vehicle, with approximately 6% power efficiency. Thus, this research demonstrates that the proposed EMS based multi-source EV could be a potential candidate for future vehicle applications.
Original languageEnglish
DOIs
Publication statusPublished - 14 Dec 2015
Externally publishedYes
EventIEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record -
Duration: 14 Dec 2015 → …

Conference

ConferenceIEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record
Period14/12/15 → …

Fingerprint

electric vehicle
Energy management systems
Electric vehicles
model test
Light sources
Environmental technology
Digital signal processors
energy management
Life cycle
Data acquisition
data acquisition
hardware
life cycle
Hardware
Controllers
Networks (circuits)
oil

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Hannan, M. A., Azidin, F. A., Mohamed, A., & Uddin, M. N. (2015). Test bench model and algorithms for multi-sources light electric vehicle energy management system. Paper presented at IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, . https://doi.org/10.1109/IAS.2015.7356810
Hannan, M. A. ; Azidin, F. A. ; Mohamed, A. ; Uddin, M. N. / Test bench model and algorithms for multi-sources light electric vehicle energy management system. Paper presented at IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, .
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Hannan, MA, Azidin, FA, Mohamed, A & Uddin, MN 2015, 'Test bench model and algorithms for multi-sources light electric vehicle energy management system' Paper presented at IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, 14/12/15, . https://doi.org/10.1109/IAS.2015.7356810

Test bench model and algorithms for multi-sources light electric vehicle energy management system. / Hannan, M. A.; Azidin, F. A.; Mohamed, A.; Uddin, M. N.

2015. Paper presented at IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, .

Research output: Contribution to conferencePaper

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Hannan MA, Azidin FA, Mohamed A, Uddin MN. Test bench model and algorithms for multi-sources light electric vehicle energy management system. 2015. Paper presented at IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, . https://doi.org/10.1109/IAS.2015.7356810