Universiti Teknologi Malaysia Institutional Repository

Mathematical model of eco-driving for energy optimization for electric vehicle

Ridzuan, Md. M. and Alias, A. and Nik Idris, Nik Rumzi (2012) Mathematical model of eco-driving for energy optimization for electric vehicle. In: Applied Mechanics and Materials. Trans Tech Publications, Switzerland, pp. 114-119. ISBN 978-303785413-6

Full text not available from this repository.

Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMM.1...

Abstract

This is a preliminary research in energy optimization system (ENOS) for Electric Vehicle (EV) whereby eco-driving is one of the solutions. Eco-driving initiative is not only benefit to the environment by optimizing the energy consumption but also enhancing the propulsion performance of Electric Vehicle. The efforts to reduce energy consumption could be achieved directly by studying contributing factors from the propulsion characteristic and the behavior of the vehicle dynamics (longitudinal vehicle dynamics in particular). We derived a single expression to describe energy consumption which could be programmed as the eco-driving algorithm. The expression is started by developing sets of equation of motions of longitudinal vehicle dynamics and relates them with the propulsion behavior that includes the counter-force by the traction torque and battery management system for Electric Vehicle. This mathematical model is established to analyze the energy consumption which shows the parameters that are important in the strategy to acquire the optimal performance and efficiency. This whole effort is part of the strategy to develop algorithm for eco-driving program.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:eco-driving, energy consumption, powertrain, vehicle dynamics
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:35714
Deposited By: Fazli Masari
Deposited On:29 Oct 2013 01:12
Last Modified:04 Feb 2017 05:58

Repository Staff Only: item control page