Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car

被引：0

作者：

Michalczuk, Marek ^{[1
]}

Ufnalski, Bartlomiej ^{[1
]}

Grzesiak, Lech M. ^{[1
]}

机构：

[1] Warsaw Univ Technol, Inst Control & Ind Elect, 75 Koszykowa St, PL-00662 Warsaw, Poland

来源：

2016 18TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'16 ECCE EUROPE) | 2016年

关键词：

hybrid energy storage system; fuzzy logic controller; particle swarm optimizing; electric vehicle; power management; BATTERY; VEHICLES; LIFE;

D O I：

暂无

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：

This paper describes the particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric vehicle. The Sugeno-type fuzzy inference system has been applied to divide power between the battery and ultracapacitor energy storage systems, as well as to manage the amount of energy stored in ultracapacitors. The two output signals of the described fuzzy logic controller represent power for each energy storage system, and are the weighted sums of all inference rule outputs. The particle swarm optimization has been proposed to determine the weights of rules. A simulation and experimental validation of the power management algorithm is also introduced in this paper.

引用

页数：10

共 50 条

[31] Particle swarm optimised fuzzy controller for charging-discharging and scheduling of battery energy storage system in MG applications [J].

Faisal, M. ;

Hannan, M. A. ;

Ker, Pin J. ;

Abd Rahman, M. S. ;

Begum, R. A. ;

Mahlia, T. M., I .

ENERGY REPORTS, 2020, 6 :215-228

[32] A Supervisory Controller for a Hybrid Energy Storage System with Two Propulsion Machines in Electric Vehicles [J].

Yavasoglu, Huseyin A. ;

Shen, Junyi ;

Shi, Chuan ;

Khaligh, Alireza .

2015 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES & POWER ELECTRONICS (ACEMP), 2015 INTL CONFERENCE ON OPTIMIZATION OF ELECTRICAL & ELECTRONIC EQUIPMENT (OPTIM) & 2015 INTL SYMPOSIUM ON ADVANCED ELECTROMECHANICAL MOTION SYSTEMS (ELECTROMOTION), 2015, :610-+

[33] SIZING OPTIMIZATION FOR HYBRID ENERGY STORAGE SYSTEM INDEPENDENTLY PARTICIPATING IN REGULATION MARKET USING IMPROVED PARTICLE SWARM OPTIMIZATION [J].

Li C. ;

Qin L. .

Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (01) :426-434

[34] Fuzzy Logic Controller Based Energy Management (FLCBEM) for a Renewable Hybrid System [J].

Shyni, S. M. ;

Ramadevi, R. .

2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC 2019), 2019, :333-337

[35] Research on energy management of hybrid energy storage system for electric bus [J].

Wu, Xiaogang ;

Hou, Weixiang ;

Shuai, Zhibin .

ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (10)

[36] Energy management of hybrid energy storage system in electric vehicle using hybrid methodology [J].

Venkataraman V. .

Australian Journal of Electrical and Electronics Engineering, 2024, 21 (02) :161-177

[37] Predictive Control of a Battery/Ultracapacitor Hybrid Energy Storage System in Electric Vehicles [J].

Shen, Junyi ;

Khaligh, Alireza .

2016 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2016,

[38] Power Optimization for Hybrid Energy Storage System of Electric Vehicle [J].

Wang, Tongjing ;

Deng, Weiwen ;

Wu, Jian ;

Zhang, Qiao .

2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,

[39] Fuzzy Logic-Based Control Strategy for a Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles [J].

Zhou Shengzhe ;

Wang Kai ;

Xue Wen .

2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, :5598-5601

[40] Fuzzy Controller based Energy Management of Hybrid System [J].

Balachandran, Gowri ;

Nafeesa, K. ;

Shihabudheen, K., V .

2018 4TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2018,

← 1 2 3 4 5 →