Hybrid swarm intelligence methods for energy management in hybrid electric vehicles

被引：19

作者：

Samanta, Chandan Kumar ^{[1
]}

Padhy, Sasmita Kumari ^{[2
]}

Panigrahi, Siba Prasada ^{[3
]}

Panigrahi, Bijaya Ketan ^{[4
]}

机构：

[1] BIET Bhadrak, Dept Elect Engn, Bhadrak 751011, Odisha, India

[2] SOA Univ, ITER, Dept IT, Bhubaneswar 751019, Orissa, India

[3] Gandhi Inst Technol Adv, Dept Elect & Elect Engn, Bhubaneswar 752052, Orissa, India

[4] IIT New Delhi, Dept Elect Engn, New Delhi 110016, India

来源：

IET ELECTRICAL SYSTEMS IN TRANSPORTATION | 2013年 / 3卷 / 01期

关键词：

D O I：

10.1049/iet-est.2012.0009

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study deals with energy management (EM) in hybrid electric vehicles. This study designs EM as an optimisation problem, then, optimises it using particle swarm optimisation (PSO) and some of its hybridisations. This study will be first in the literature to introduce PSO to the problem of EM in electric field. Moreover, this study proposes some novel applications of hybrid PSO, such as PSO-DE and PSO-QI. Encouraging simulation results obtained in this study that may attract for a case study for practical implementations.

引用

页码：22 / 29

页数：8

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