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[期刊论文]

Design, analysis, and experimental validation of a novel seamless automatic transmission for electric vehicle

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author:

Yu, J. (Yu, J..) [1] | Yao, L. (Yao, L..) [2] | Ren, C. (Ren, C..) [3] | Unfold

Indexed by:

Scopus

Abstract:

The transmission system has an important influence on the dynamic performance, endurance mileage, and energy saving in an all-electric vehicle. This article proposes an innovative two-speed seamless dry-friction automatic transmission system to improve the dynamic performance and endurance mileage of an all-electric vehicle with the existing battery technology. The proposed system consists of two-stage epicyclical gear sets without outer ring gears, a dry-friction clutch, and a brake band, realizes a seamless shifting between any two speeds in an electric vehicle. Based on the working principle and dynamic modeling of the proposed seamless dry-friction automatic transmission system, the ratio optimization was carried out to improve the dynamic performance and the power consumption at the same time, and the combination of the weight ratio method and the multi-island genetic algorithm method was introduced to solve the optimization problem. It is shown both theoretically and experimentally that the proposed seamless dry-friction automatic transmission method demonstrates a better dynamic performance and shifting comfort when compared to the automated manual transmission with same transmission ratio. © 2018, © The Author(s) 2018.

Keyword:

electric vehicle; experiment; Seamless auto transmission; simulation

Community:

  • [ 1 ] [Yu, J.]Fuzhou University, Fuzhou, China
  • [ 2 ] [Yu, J.]Fujian University of Technology, Fuzhou, China
  • [ 3 ] [Yao, L.]Fuzhou University, Fuzhou, China
  • [ 4 ] [Ren, C.]Fuzhou University, Fuzhou, China
  • [ 5 ] [Yan, X.]Fujian University of Technology, Fuzhou, China
  • [ 6 ] [Lin, L.]Fujian Wanrun New Energy Technology Co., Ltd., Fuzhou, China

Reprint 's Address:

  • [Yu, J.]Fuzhou University, No. 2, Xueyuan Road, China

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Source :

Advances in Mechanical Engineering

ISSN: 1687-8132

Year: 2018

Issue: 2

Volume: 10

1 . 0 2 4

JCR@2018

1 . 9 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

30 Days PV: 0

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