@inproceedings{c97cdae233f641838122ff0c2e03d5cd,
title = "Optimal sizing and control strategy design for heavy hybrid electric truck",
abstract = "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.",
author = "Li, \{Dong Ge\} and Yuan Zou and Hu, \{Xiao Song\} and Sun, \{Feng Chun\}",
year = "2012",
doi = "10.1109/VPPC.2012.6422624",
language = "English",
isbn = "9781467309530",
series = "2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012",
pages = "1100--1106",
booktitle = "2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012",
note = "2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012 ; Conference date: 09-10-2012 Through 12-10-2012",
}