Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm

Wenwei Wang; Cheng Zhu; Cheng Lin

doi:10.3772/j.issn.1006-6748.2010.01.006

Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm

Wenwei Wang^*, Cheng Zhu, Cheng Lin

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimization problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems.

Original language	English
Pages (from-to)	29-33
Number of pages	5
Journal	High Technology Letters
Volume	16
Issue number	1
DOIs	https://doi.org/10.3772/j.issn.1006-6748.2010.01.006
Publication status	Published - Mar 2010

Keywords

Dynamical evolutionary algorithm (DEA)
Electric bus
Parameter optimization
Transmission system

Access to Document

10.3772/j.issn.1006-6748.2010.01.006

Cite this

@article{11c06a54275f497684032dbd3fdc3369,

title = "Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm",

abstract = "The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimization problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems.",

keywords = "Dynamical evolutionary algorithm (DEA), Electric bus, Parameter optimization, Transmission system",

author = "Wenwei Wang and Cheng Zhu and Cheng Lin",

year = "2010",

month = mar,

doi = "10.3772/j.issn.1006-6748.2010.01.006",

language = "English",

volume = "16",

pages = "29--33",

journal = "High Technology Letters",

issn = "1006-6748",

publisher = "Institute of Scientific and Technical Information of China",

number = "1",

}

TY - JOUR

T1 - Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm

AU - Wang, Wenwei

AU - Zhu, Cheng

AU - Lin, Cheng

PY - 2010/3

Y1 - 2010/3

N2 - The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimization problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems.

AB - The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimization problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems.

KW - Dynamical evolutionary algorithm (DEA)

KW - Electric bus

KW - Parameter optimization

KW - Transmission system

UR - http://www.scopus.com/inward/record.url?scp=77952190462&partnerID=8YFLogxK

U2 - 10.3772/j.issn.1006-6748.2010.01.006

DO - 10.3772/j.issn.1006-6748.2010.01.006

M3 - Article

AN - SCOPUS:77952190462

SN - 1006-6748

VL - 16

SP - 29

EP - 33

JO - High Technology Letters

JF - High Technology Letters

IS - 1

ER -

Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this