Application of fuzzy algorithms based on neural networks to the hybrid energy management systems of future combat vehicles

被引：1

作者：

Hua, Li ^{[1
]}

Da, Xu ^{[1
]}

Lei, Wang ^{[1
]}

机构：

[1] Acad Armored Forces Engn, Dept Arms Engn, Beijing 100072, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON SENSOR NETWORKS AND SIGNAL PROCESSING (SNSP 2018) | 2018年

关键词：

Hybrid energy management; fuzzy algorithms; neural networks; simulation;

D O I：

10.1109/SNSP.2018.00095

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：

Future combat vehicles will implement hybrid energy management systems comprised of complex multivariable non-linear algorithms. In this paper, fuzzy algorithms based on neural networks (NNs) were applied to a hybrid energy management system. In addition, a combination of fuzzy theory and NN computing theory was analyzed in detail. Fuzzy control algorithms were also used to resolve the run mode switch and power distribution issues of energy management systems. Furthermore, the proposed energy management control strategy was validated using MATLAB. The results of the simulation indicated that the proposed control strategy and algorithms could improve the working conditions and adaptability of future combat vehicles.

引用

页码：475 / 481

页数：7

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