Model predictive control for energy management of a plug-in hybrid electric bus

被引：25
|
作者：
He, Hongwen [1 ]
Zhang, Jieli [1 ]
Li, Gaopeng [2 ]
机构：
[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] Zhengzhou Yutong Bus Co Ltd, Zhengzhou 450061, Peoples R China
来源：
CUE 2015 - APPLIED ENERGY SYMPOSIUM AND SUMMIT 2015: LOW CARBON CITIES AND URBAN ENERGY SYSTEMS | 2016年 / 88卷
关键词：
Plug-in hybrid electric vehicles; Model predictive control; Markov; Energy management strategy; VEHICLES; ALGORITHM;
D O I：
10.1016/j.egypro.2016.06.109
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, the model predictive control (MPC) method is researched for energy management problem of a plug-in hybrid electric vehicle (HEV). The multi-step Markov prediction method is used to predict the driving condition. Dynamic programming (DP) is used to solve the optimization problem within the prediction horizon. Through the comparison of MPC result with the results of DP strategy and a rule-based strategy, it is certified that the MPC strategy can be implemented to solve the optimization problem for PHEV with good fuel economy. (C) 2016 Published by Elsevier Ltd.
引用
收藏
页码：901 / 907
页数：7
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