NDLI: A Torque Control Strategy with Charge Buffer for Parallel Hybrid Electric Vehicle

Content Provider	IEEE Xplore Digital Library
Author	Xi Huang Ying Tan Xingui He
Copyright Year	2010
Abstract	As a new kind of vehicles with low fuel cost and low emission, hybrid electric vehicle (HEV) has been given more and more attention in recent years. The key technique in the HEV is the optimal control strategy for the best performance. This paper proposed a new torque control strategy with charge buffer (TCSCB) to control the two power sources of the HEV. The TCSCB is based on the control of engine torque which make the control strategy easily distribute the output power to the engine and motor. In this control strategy, the real time optimization based on the engine efficiency map increases engine efficiency observably. The charge buffer reduces the dramatic fluctuation of the engine torque to improve the fuel economy. The prediction engine torque based on the neural network improves the control performance by the future information greatly. The simulation results showed the TCSCB could reach a higher fuel economy and lower emission compared to the current control strategies. In order to optimize the control performances, the parameters in the TCSCB were also discussed in details.
Starting Page	1
Ending Page	5
File Size	131376
Page Count	5
File Format	PDF
ISBN	9781424435739
ISSN	10903038
DOI	10.1109/VETECF.2010.5594436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-06
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Engines Torque Hybrid electric vehicles Thyristors Power capacitors Artificial neural networks System-on-a-chip
Content Type	Text
Resource Type	Article

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