Design and Optimization of the Power Management Strategy of an Electric Drive Tracked Vehicle
Joint Authors
Pan, Ming
Tu, Qunzhang
Jiang, Chengming
Zhang, Xiaochen
Xue, Jinhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This article studies the power management control strategy of electric drive system and, in particular, improves the fuel economy for electric drive tracked vehicles.
Combined with theoretical analysis and experimental data, real-time control oriented models of electric drive system are established.
Taking into account the workloads of engine and the SOC (state of charge) of battery, a fuzzy logic based power management control strategy is proposed.
In order to achieve a further improvement in fuel economic, a DEHPSO algorithm (differential evolution based hybrid particle swarm optimization) is adopted to optimize the membership functions of fuzzy controller.
Finally, to verify the validity of control strategy, a HILS (hardware-in-the-loop simulation) platform is built based on dSPACE and related experiments are carried out.
The results indicate that the proposed strategy obtained good effects on power management, which achieves high working efficiency and power output capacity.
Optimized by DEHPSO algorithm, fuel consumption of the system is decreased by 4.88% and the fuel economy is obviously improved, which will offer an effective way to improve integrated performance of electric drive tracked vehicles.
American Psychological Association (APA)
Tu, Qunzhang& Zhang, Xiaochen& Pan, Ming& Jiang, Chengming& Xue, Jinhong. 2016. Design and Optimization of the Power Management Strategy of an Electric Drive Tracked Vehicle. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112422
Modern Language Association (MLA)
Tu, Qunzhang…[et al.]. Design and Optimization of the Power Management Strategy of an Electric Drive Tracked Vehicle. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1112422
American Medical Association (AMA)
Tu, Qunzhang& Zhang, Xiaochen& Pan, Ming& Jiang, Chengming& Xue, Jinhong. Design and Optimization of the Power Management Strategy of an Electric Drive Tracked Vehicle. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112422