Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles

被引：218

作者：

Chen, Jian ^{[1
]}

Xu, Chenfeng ^{[1
]}

Wu, Chengshuai ^{[1
]}

Xu, Weihua ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2018年 / 14卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Adaptive control; electric vehicles; fuel cell battery hybrid system; fuzzy logic control; power management; POWER MANAGEMENT STRATEGY; ENERGY MANAGEMENT; DESIGN; CONSUMPTION; MODEL;

D O I：

10.1109/TII.2016.2618886

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

In this paper, we propose an adaptive control approach with fuzzy logic parameter tuning (AFLPT) for the energy management of electric vehicles that are using fuel cell battery hybrid systems. The controller is adaptive to different driving conditions including normal, regenerative, and overload conditions. Specifically, the power flow between the fuel cell (FC) and the Li-ion battery is controlled in real time to maintain the battery state of charge (SOC) at a desirable level while satisfying the FC dynamic constraints. For guaranteeing performance in different driving conditions, the FLPT is integrated with the adaptive controller. Moreover, theoretical properties of the designed controller are analyzed. Simulation and experiment results illustrate the effectiveness of the proposed strategy for FC-battery hybrid systems in electric vehicles.

引用

页码：292 / 300

页数：9

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