Intelligent control algorithm for energy management system of light electric vehicles

F. A. Azidin, Z. A. Ghani, Hannan M A, Azah Mohamed

Research output: Contribution to journalArticle

Abstract

A state-based logic control algorithm was developed to coordinate a multi-source energy management system (EMS) for light electric vehicles (LEVs), such as scooters. This work was undertaken in view of the increasing importance of hybrid electric vehicles (HEVs) in many rapidly developing Asian countries. The multiple energy sources in this investigation were batteries, fuel cells (FC) and super-capacitors (SCs). Since each resource has its own advantages and disadvantages, a combination of the resources provides a more reliable and powerful energy model for hybrid electric vehicles (HEV). An algorithm was developed to manage the switching of the multiple energy resources efficiently. The performance of the proposed model in terms of vehicle acceleration and load power was measured against the ECE-47 test drive cycle. The sources of energy changeover were examined at 50% of the battery state of charge (SOC) or under heavy load conditions. The results showed a close match of the model to the test cycle under both normal and heavy load cycle conditions. The feasibility of the proposed intelligent controlling algorithm for the EMS of light electric vehicles was thus verified. This study could contribute huge benefit to the manufacturers and research institutions involved in light electric vehicle.

Original languageEnglish
Pages (from-to)37-43
Number of pages7
JournalJournal of Telecommunication, Electronic and Computer Engineering
Volume6
Issue number2
Publication statusPublished - 1 Jul 2014

Fingerprint

Energy management systems
Intelligent control
Electric vehicles
Hybrid vehicles
Fuel cells
Energy resources
Developing countries
Capacitors

Keywords

  • Battery
  • Control algorithm
  • Energy management system
  • Fuel cell
  • Super-capacitors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Intelligent control algorithm for energy management system of light electric vehicles. / Azidin, F. A.; Ghani, Z. A.; M A, Hannan; Mohamed, Azah.

In: Journal of Telecommunication, Electronic and Computer Engineering, Vol. 6, No. 2, 01.07.2014, p. 37-43.

Research output: Contribution to journalArticle

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