Cart (Loading....) | Create Account
Close category search window

Energy Management Control of Microturbine-Powered Plug-In Hybrid Electric Vehicles Using the Telemetry Equivalent Consumption Minimization Strategy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bo Geng ; Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China ; Mills, J.K. ; Dong Sun

This paper presents a novel approach to the solution of the energy management problem of a microturbine-powered plug-in hybrid electric vehicle (PHEV). A series hybrid midsize sedan, utilizing a microturbine and a chargeable Li-ion battery stack as its primary energy source and energy storage system, respectively, is modeled in this paper. The equivalent consumption minimization strategy (ECMS) is utilized to minimize the driving cost based on Pontryagin's minimum principle. To identify the equivalent factor (EF), a new concept called the energy ratio is defined, which is demonstrated to be closely related to the EF over all possible trips. By detecting the vehicle position with a telemetry system and measuring the battery state of charge (SOC), the EF is updated in real time and is used as an input for the computation of the ECMS. Simulation results demonstrate that the proposed ECMS exhibits driving cost and diesel consumption equivalent to that determined from numerical dynamic programming. Significantly, the proposed approach reduces the driving cost from 7.7% to 21.6%, compared with a baseline control over both urban and highway cycles. In addition, through numerical simulations, the computational cost of the proposed strategy is demonstrated to be acceptable for industrial applications. Furthermore, because this strategy uses the feedback of the battery SOC, the control performance is insensitive to the control parameter errors.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:60 ,  Issue: 9 )

Date of Publication:

Nov. 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.