Fuzzy Logic-Based Control Strategy for a Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles

被引：0

作者：

Zhou Shengzhe ^{[1
]}

Wang Kai ^{[1
]}

Xue Wen ^{[1
]}

机构：

[1] Qingdao Univ, Sch Automat & Elect Engn, Qingdao 266071, Peoples R China

来源：

2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年

关键词：

Hybrid energy storage system; Energy management system; Fuzzy Logic-Based Control; Kalman filtering algorithm; Eectric vehicles; MANAGEMENT STRATEGY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to optimize the operation status of hybrid energy storage system in electric vehicles, a novel fuzzy logic control strategy is proposed. This strategy adopts Kalman filtering algorithm to estimates state of charge (SOC) and state of power (SOP), which can calculate the optimum power and alleviate the errors of SOC effectively. Besides, the framework of the strategy and the model of both battery and supercapacitor are introduced. The proposed control strategy will help to deal with energy storage system problem of relatively short lifespan and poor limited range in electric vehicles. So stability and efficiency of hybrid energy storage system (HESS) improve greatly

引用

页码：5598 / 5601

页数：4

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