By Topic

Optimal sizing and control strategy design for heavy hybrid electric truck

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

4 Author(s)
Dong-ge Li ; Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China ; Yuan Zou ; Xiao-song Hu ; Feng-chun Sun

This paper presents a parametric study focused on sizing of the power-train components and optimization of the power split between the engine and electric motor for minimizing fuel consumption. A scalable vehicle model based on a bi-level optimization framework is built to promote this study. The iterative plant-controller combined optimization methodology is adopted to optimize the key plant parameters and control strategy simultaneously. The design parameters can be altered within the design space randomly in the outer loop. Dynamic programming is applied to find the optimal control in the inner loop with a prescribed cycle. The results are analyzed, and the relationship between the key parameters and fuel cost illustrates that both optimal sizing and control can be achieved.

Published in:

Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE

Date of Conference:

9-12 Oct. 2012