Optimization of hybrid electric vehicle control for efficient performance at critical energy levels

Alsibai, Mohammed Hayyan and Sayong, Maxwell and Koay, Li Woon and Atnaw, Samson M. and Nurul Nadia, Nor Hamran (2017) Optimization of hybrid electric vehicle control for efficient performance at critical energy levels. In: 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2016) , 25-27 November 2016 , PARK ROYAL Penang Resort, Penang; Malaysia. pp. 205-210.. ISBN 978-1-5090-1178-0

[img] Pdf
Optimization of Hybrid Electric Vehicle Control for Efficient Performance at Critical Energy Levels.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img]
Preview
Pdf
Optimization of Hybrid Electric Vehicle Control for Efficient Performance at Critical Energy Levels 1.pdf

Download (612kB) | Preview

Abstract

This paper proposes an optimization algorithm to regulate energy consumption and powertrain control of a hybrid electric vehicle (HEV). The algorithm is applied on a prototype vehicle manufactured by adding an electric motor to an all-terrain vehicle (ATV). The control system is designed using an embedded micro-controller unit (MCU). The main targets in this study are to improve the electric energy consumption efficiency and to reduce the ICE usage to minimum. The MCU controls the automatic switching between the electric motor and the internal combustion engine of the ATV. Furthermore, the system gives guidance for driver to use the limited resource efficiently at critical energy level. It restricts the driver performance using pulse width modulation (PWM). PWM duty cycle is adjusted to get optimum performance in term of maximizing the travel distance. Various driving scenarios are analyzed in this study. Factors such travel speed, energy level, stop-and-go frequency have been taken into consideration. The experiments showed significant improvement.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Hybrid electric vehicle; Power consumption optimization; Embedded systems; Optimal control; Limited resource management.
Subjects: T Technology > T Technology (General)
Faculty/Division: Faculty of Engineering Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 18 Jul 2018 07:24
Last Modified: 18 Jul 2018 07:24
URI: http://umpir.ump.edu.my/id/eprint/18228
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item