期刊名称：International Journal of Sustainable Engineering
印刷版ISSN：1939-7038
出版年度：2015
卷号：8
期号：2
页码：138-144
DOI：10.1080/19397038.2014.919363
语种：English
出版社：Taylor & Francis Group
摘要：This paper proposes two novel approaches for the problem of energy management in hybrid electric vehicles. Shuffled frog-leaping algorithm (SFLA) is a recently proposed population-based optimization algorithm. This paper first formulates energy management as an optimization problem and optimizes the problem using SFLA. Then the paper makes use of SFLA as a training algorithm to train artificial neural network (ANN) and this SFLA-trained ANN is used for energy management. Interestingly, the proposed approaches of this paper are found to be robust and more efficient than contemporary approaches.
关键词：Keywords:enenergy managementhybrid electric vehiclesneural networks
