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

doi:10.1109/IAS.2015.7356810

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

Universiti Kebangsaan Malaysia
Universiti Teknikal Malaysia Melaka
Lakehead University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Title of host publication	IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479983933
DOIs	https://doi.org/10.1109/IAS.2015.7356810
Publication status	Published - 14 Dec 2015
Externally published	Yes
Event	51st Annual Meeting on IEEE Industry Application Society, IAS 2015 - Addison, United States Duration: 11 Oct 2015 → 22 Oct 2015

Publication series

Name	IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record

Conference

Conference	51st Annual Meeting on IEEE Industry Application Society, IAS 2015
Country/Territory	United States
City	Addison
Period	11/10/15 → 22/10/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

control algorithm
energy management system
light electric vehicle
multi-source
Test bench model

Access to Document

10.1109/IAS.2015.7356810

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. In IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record Article 7356810 (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2015.7356810

Hannan, M. A. ; Azidin, F. A. ; Mohamed, A. et al. / Test bench model and algorithms for multi-sources light electric vehicle energy management system. IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record. Institute of Electrical and Electronics Engineers Inc., 2015. (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record).

@inproceedings{68eead92a7774027a6936d8da936d26c,

title = "Test bench model and algorithms for multi-sources light electric vehicle energy management system",

abstract = "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.",

keywords = "control algorithm, energy management system, light electric vehicle, multi-source, Test bench model",

author = "Hannan, \{M. A.\} and Azidin, \{F. A.\} and A. Mohamed and Uddin, \{M. N.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 51st Annual Meeting on IEEE Industry Application Society, IAS 2015 ; Conference date: 11-10-2015 Through 22-10-2015",

year = "2015",

month = dec,

day = "14",

doi = "10.1109/IAS.2015.7356810",

language = "English",

series = "IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record",

}

Hannan, MA, Azidin, FA, Mohamed, A & Uddin, MN 2015, Test bench model and algorithms for multi-sources light electric vehicle energy management system. in IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record., 7356810, IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, Institute of Electrical and Electronics Engineers Inc., 51st Annual Meeting on IEEE Industry Application Society, IAS 2015, Addison, United States, 11/10/15. 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. et al.
IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record. Institute of Electrical and Electronics Engineers Inc., 2015. 7356810 (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Test bench model and algorithms for multi-sources light electric vehicle energy management system

AU - Hannan, M. A.

AU - Azidin, F. A.

AU - Mohamed, A.

AU - Uddin, M. N.

PY - 2015/12/14

Y1 - 2015/12/14

N2 - 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.

AB - 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.

KW - control algorithm

KW - energy management system

KW - light electric vehicle

KW - multi-source

KW - Test bench model

UR - https://www.scopus.com/pages/publications/84957709421

U2 - 10.1109/IAS.2015.7356810

DO - 10.1109/IAS.2015.7356810

M3 - Conference contribution

AN - SCOPUS:84957709421

T3 - IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record

BT - IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 51st Annual Meeting on IEEE Industry Application Society, IAS 2015

Y2 - 11 October 2015 through 22 October 2015

ER -

Hannan MA, Azidin FA, Mohamed A, Uddin MN. Test bench model and algorithms for multi-sources light electric vehicle energy management system. In IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record. Institute of Electrical and Electronics Engineers Inc. 2015. 7356810. (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record). doi: 10.1109/IAS.2015.7356810

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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