Journal
CUE 2015 - APPLIED ENERGY SYMPOSIUM AND SUMMIT 2015: LOW CARBON CITIES AND URBAN ENERGY SYSTEMS
Volume 88, Issue -, Pages 901-907Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2016.06.109
Keywords
Plug-in hybrid electric vehicles; Model predictive control; Markov; Energy management strategy
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available