Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System

A dual-motor coupling-propulsion electric bus (DMCPEB) is modeled, and its optimal control strategy is studied in this paper. The necessary dynamic features of energy loss for subsystems is modeled. Dynamic programming (DP) technique is applied to find the optimal control strategy including upshift...

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Detalles Bibliográficos
Autores principales: Zhang, Shuo, Zhang, Chengning, Han, Guangwei, Wang, Qinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142329/
https://www.ncbi.nlm.nih.gov/pubmed/25540814
http://dx.doi.org/10.1155/2014/958239
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author Zhang, Shuo
Zhang, Chengning
Han, Guangwei
Wang, Qinghui
author_facet Zhang, Shuo
Zhang, Chengning
Han, Guangwei
Wang, Qinghui
author_sort Zhang, Shuo
collection PubMed
description A dual-motor coupling-propulsion electric bus (DMCPEB) is modeled, and its optimal control strategy is studied in this paper. The necessary dynamic features of energy loss for subsystems is modeled. Dynamic programming (DP) technique is applied to find the optimal control strategy including upshift threshold, downshift threshold, and power split ratio between the main motor and auxiliary motor. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement in reducing energy loss due to the dual-motor coupling-propulsion system (DMCPS) running is realized without increasing the frequency of the mode switch.
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spelling pubmed-41423292014-12-24 Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System Zhang, Shuo Zhang, Chengning Han, Guangwei Wang, Qinghui ScientificWorldJournal Research Article A dual-motor coupling-propulsion electric bus (DMCPEB) is modeled, and its optimal control strategy is studied in this paper. The necessary dynamic features of energy loss for subsystems is modeled. Dynamic programming (DP) technique is applied to find the optimal control strategy including upshift threshold, downshift threshold, and power split ratio between the main motor and auxiliary motor. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement in reducing energy loss due to the dual-motor coupling-propulsion system (DMCPS) running is realized without increasing the frequency of the mode switch. Hindawi Publishing Corporation 2014 2014-07-23 /pmc/articles/PMC4142329/ /pubmed/25540814 http://dx.doi.org/10.1155/2014/958239 Text en Copyright © 2014 Shuo Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Shuo
Zhang, Chengning
Han, Guangwei
Wang, Qinghui
Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title_full Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title_fullStr Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title_full_unstemmed Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title_short Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System
title_sort optimal control strategy design based on dynamic programming for a dual-motor coupling-propulsion system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142329/
https://www.ncbi.nlm.nih.gov/pubmed/25540814
http://dx.doi.org/10.1155/2014/958239
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AT hanguangwei optimalcontrolstrategydesignbasedondynamicprogrammingforadualmotorcouplingpropulsionsystem
AT wangqinghui optimalcontrolstrategydesignbasedondynamicprogrammingforadualmotorcouplingpropulsionsystem

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