Model Predictive Control Based Energy Management Strategy for a Plug-In Hybrid Electric Vehicle

DOI

10.2991/icmeis-15.2015.165How to use a DOI?

Keywords

model predictive control (MPC); plug-in hybrid electric vehicles (PHEVs); energy management strategy.

Abstract

In this paper, the model predictive control (MPC) method is researched for energy management problem of plug-In hybrid electric vehicle (PHEV). Multi-step Markov prediction method is selected for the prediction. Dynamic programming (DP) is chosen to solve the optimization problem within the prediction horizon. Through the comparison of MPC result with the results of dynamic programming strategy and a rule-based strategy, it is certified that the control effect of MPC strategy is much better than the ruled-based strategy and close to the global optimal control under DP strategy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jieli Zhang
AU  - Hongwen He
AU  - Ximing Wang
PY  - 2015/08
DA  - 2015/08
TI  - Model Predictive Control Based Energy Management Strategy for a Plug-In Hybrid Electric Vehicle
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 875
EP  - 879
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.165
DO  - 10.2991/icmeis-15.2015.165
ID  - Zhang2015/08
ER  -