Real-time control strategy of hybrid electric vehicle based on wavelet neural network - Details

Author：

Xu, P.-P. (Xu, P.-P..) | Song, J.-G. (Song, J.-G..) | Wang, Y.-F. (Wang, Y.-F..) | Shen, G.-D. (Shen, G.-D..)

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Scopus PKU CSCD

Abstract：

A　real-time　control　strategy　was　proposed　for　parallel　hybrid　electric　vehicle　(PHEV)　based　on　wavelet　neural　network　to　control　the　torque　distribution　for　the　improvement　of　fuel　economy　in　hybrid　electric　vehicle.　A　wavelet　neural　network　controller　was　adopted　in　control　strategy　to　control　hybrid　powertrain　online.　The　controller　was　trained　by　the　control　management　rules,　which　came　from　instantaneous　optimization　control　strategy.　This　control　strategy　was　implemented　on　a　PHEV　prototype　in　ADVISOR.　Simulation　results　demonstrate　that　this　control　strategy　not　only　satisfies　the　fuel　economy,　but　also　overcomes　the　defect　of　instantaneous　optimization　control　strategy　that　can　not　be　used　in　real　driving　condition.

Keyword：

Control strategy; Energy management strategy; Parallel hybrid electric vehicle; Wavelet neural network

Author Community：

[ 1 ] [Xu, P.-P.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Song, J.-G.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Wang, Y.-F.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Shen, G.-D.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address：

[Xu, P.-P.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source ：

Journal of System Simulation

ISSN： 1004-731X

Year： 2011

Issue： 11

Volume： 23

Page： 2455-2459

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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