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

Jian Chen; Chenfeng Xu; Chengshuai Wu; Weihua Xu

doi:10.1109/TII.2016.2618886

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

Jian Chen^*, Chenfeng Xu, Chengshuai Wu, Weihua Xu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	7593264
Pages (from-to)	292-300
Number of pages	9
Journal	IEEE Transactions on Industrial Informatics
Volume	14
Issue number	1
DOIs	https://doi.org/10.1109/TII.2016.2618886
State	Published - Jan 2018
Externally published	Yes

Keywords

Adaptive control
electric vehicles
fuel cell battery hybrid system
fuzzy logic control
power management

Access to Document

10.1109/TII.2016.2618886

Cite this

@article{ece954615462450f958a44e6c3b53a57,

title = "Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles",

abstract = "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.",

keywords = "Adaptive control, electric vehicles, fuel cell battery hybrid system, fuzzy logic control, power management",

author = "Jian Chen and Chenfeng Xu and Chengshuai Wu and Weihua Xu",

note = "Publisher Copyright: {\textcopyright} 2005-2012 IEEE.",

year = "2018",

month = jan,

doi = "10.1109/TII.2016.2618886",

language = "אנגלית",

volume = "14",

pages = "292--300",

journal = "IEEE Transactions on Industrial Informatics",

issn = "1551-3203",

publisher = "IEEE Computer Society",

number = "1",

}

TY - JOUR

T1 - Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles

AU - Chen, Jian

AU - Xu, Chenfeng

AU - Wu, Chengshuai

AU - Xu, Weihua

PY - 2018/1

Y1 - 2018/1

N2 - 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.

AB - 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.

KW - Adaptive control

KW - electric vehicles

KW - fuel cell battery hybrid system

KW - fuzzy logic control

KW - power management

UR - http://www.scopus.com/inward/record.url?scp=85040689229&partnerID=8YFLogxK

U2 - 10.1109/TII.2016.2618886

DO - 10.1109/TII.2016.2618886

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:85040689229

SN - 1551-3203

VL - 14

SP - 292

EP - 300

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

IS - 1

M1 - 7593264

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this