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Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
Joint Authors
Wu, Xiaolan
Guo, Guifang
Bai, Zhifeng
Source
Journal of Control Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs).
By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor.
An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy.
It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles.
American Psychological Association (APA)
Wu, Xiaolan& Guo, Guifang& Bai, Zhifeng. 2015. Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1067751
Modern Language Association (MLA)
Wu, Xiaolan…[et al.]. Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles. Journal of Control Science and Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1067751
American Medical Association (AMA)
Wu, Xiaolan& Guo, Guifang& Bai, Zhifeng. Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1067751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067751