Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles

Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles

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...

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Main Authors: Xiaolan Wu, Guifang Guo, Zhifeng Bai
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2015/141654
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spelling doaj-610824a1aa3741d2b8c97d581954b2092020-11-25T02:13:39ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572015-01-01201510.1155/2015/141654141654Cloud Model-Based Energy Management Strategy for Parallel Hybrid VehiclesXiaolan Wu0Guifang Guo1Zhifeng Bai2School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, ChinaSchool of Information Engineering, Tibet University for Nationalities, Xi’an, Shaanxi 710055, ChinaSchool of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, ChinaUsing 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.http://dx.doi.org/10.1155/2015/141654
collection DOAJ
language English
format Article
sources DOAJ
author Xiaolan Wu
Guifang Guo
Zhifeng Bai
spellingShingle Xiaolan Wu
Guifang Guo
Zhifeng Bai
Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
Journal of Control Science and Engineering
author_facet Xiaolan Wu
Guifang Guo
Zhifeng Bai
author_sort Xiaolan Wu
title Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
title_short Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
title_full Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
title_fullStr Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
title_full_unstemmed Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
title_sort cloud model-based energy management strategy for parallel hybrid vehicles
publisher Hindawi Limited
series Journal of Control Science and Engineering
issn 1687-5249
1687-5257
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/141654
work_keys_str_mv AT xiaolanwu cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles
AT guifangguo cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles
AT zhifengbai cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles
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