Optimised dual hybrid energy storage systems for EV powertrain based on modified genetic algorithm

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Systems Modelling and SImulation Pub Date : 2022-01-01 DOI:10.1504/ijesms.2022.10045386

Ramesh Redrouthu, C. V. Gopi, B. Pattanaik, Mukil Alagirisami

引用次数: 0

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基于改进遗传算法的电动汽车动力总成双混合储能系统优化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Engineering Systems Modelling and SImulation ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.00

自引率

27.30%

发文量

期刊介绍： Most of the research and experiments in the field of engineering have devoted significant efforts to modelling and simulation of various complicated phenomena and processes occurring in engineering systems. IJESMS provides an international forum and refereed authoritative source of information on the development and advances in modelling and simulation, contributing to the understanding of different complex engineering systems. IJESMS is designed to be a multi-disciplinary, fully refereed, international journal.