Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers

Dimas Anton Asfani; Nungki Dian S. Darmayanti; Daniar Fahmi; Indra Sidartha; Agus Wibawa; Ide Bagus Hapsara; Sudaryono; Rayhan Alifa Dewantara; Dimas Fajar Uman Putra

doi:10.1063/5.0181020

Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers

Dimas Anton Asfani, Nungki Dian S. Darmayanti, Daniar Fahmi, Prabowo, Indra Sidartha, Agus Wibawa, Ide Bagus Hapsara, Sudaryono, Rayhan Alifa Dewantara^*, Dimas Fajar Uman Putra

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The increase in electric vehicles affects the distribution system by triggering several disturbances such as voltage stress, high voltage fluctuations, voltage drops during peak loads, damage to distribution transformers, and even blackouts. It allows proper management when charging the electric vehicle. Therefore, this study uses a fuzzy logic-based controller to design an optimal charging system for electric vehicles based on the SOC (State of Charge) and Parking Duration. This charging management uses the concept of the vehicle-to-vehicle power transfer directed by scoring. Furthermore, simulations are carried out with subscription restrictions to the grid. The results showed that using this optimal charging system can flatten the load curve with the two inputs. However, the simulation results showed that the presence of FLC in the system can reduce the peak load on the system from 12 kW to 5.1 kW, and SOC (state of charge) at departure time is higher than initial arrival, even in some conditions can reach 100%.

Original language	English
Title of host publication	AIP Conference Proceedings
Editors	Wisnu Setiawan, Agus Dwi Anggono, Nurul Hidayati, Muhammad Kusban
Publisher	American Institute of Physics
Edition	1
ISBN (Electronic)	9780735448643
DOIs	https://doi.org/10.1063/5.0181020
Publication status	Published - 23 Feb 2024
Event	8th International Conference on Engineering, Technology, and Industrial Applications 2021, ICETIA 2021 - Surakarta, Indonesia Duration: 15 Dec 2021 → 16 Dec 2021

Publication series

Name	AIP Conference Proceedings
Number	1
Volume	2838
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	8th International Conference on Engineering, Technology, and Industrial Applications 2021, ICETIA 2021
Country/Territory	Indonesia
City	Surakarta
Period	15/12/21 → 16/12/21

Keywords

Electric vehicle
Fuzzy Logic Controller
Optimal Charging station
Vehicle to vehicle

Access to Document

10.1063/5.0181020

Cite this

Asfani, D. A., Darmayanti, N. D. S., Fahmi, D., Prabowo, Sidartha, I., Wibawa, A., Hapsara, I. B., Sudaryono, Dewantara, R. A., & Putra, D. F. U. (2024). Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers. In W. Setiawan, A. D. Anggono, N. Hidayati, & M. Kusban (Eds.), AIP Conference Proceedings (1 ed.). Article 020030 (AIP Conference Proceedings; Vol. 2838, No. 1). American Institute of Physics. https://doi.org/10.1063/5.0181020

Asfani, Dimas Anton ; Darmayanti, Nungki Dian S. ; Fahmi, Daniar et al. / Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers. AIP Conference Proceedings. editor / Wisnu Setiawan ; Agus Dwi Anggono ; Nurul Hidayati ; Muhammad Kusban. 1. ed. American Institute of Physics, 2024. (AIP Conference Proceedings; 1).

@inproceedings{1603c26fb9154707840bd5210ba33893,

title = "Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers",

abstract = "The increase in electric vehicles affects the distribution system by triggering several disturbances such as voltage stress, high voltage fluctuations, voltage drops during peak loads, damage to distribution transformers, and even blackouts. It allows proper management when charging the electric vehicle. Therefore, this study uses a fuzzy logic-based controller to design an optimal charging system for electric vehicles based on the SOC (State of Charge) and Parking Duration. This charging management uses the concept of the vehicle-to-vehicle power transfer directed by scoring. Furthermore, simulations are carried out with subscription restrictions to the grid. The results showed that using this optimal charging system can flatten the load curve with the two inputs. However, the simulation results showed that the presence of FLC in the system can reduce the peak load on the system from 12 kW to 5.1 kW, and SOC (state of charge) at departure time is higher than initial arrival, even in some conditions can reach 100%.",

keywords = "Electric vehicle, Fuzzy Logic Controller, Optimal Charging station, Vehicle to vehicle",

author = "Asfani, {Dimas Anton} and Darmayanti, {Nungki Dian S.} and Daniar Fahmi and Prabowo and Indra Sidartha and Agus Wibawa and Hapsara, {Ide Bagus} and Sudaryono and Dewantara, {Rayhan Alifa} and Putra, {Dimas Fajar Uman}",

note = "Publisher Copyright: {\textcopyright} 2024 American Institute of Physics Inc.. All rights reserved.; 8th International Conference on Engineering, Technology, and Industrial Applications 2021, ICETIA 2021 ; Conference date: 15-12-2021 Through 16-12-2021",

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doi = "10.1063/5.0181020",

language = "English",

series = "AIP Conference Proceedings",

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Asfani, DA, Darmayanti, NDS, Fahmi, D , Prabowo, Sidartha, I, Wibawa, A, Hapsara, IB, Sudaryono, Dewantara, RA & Putra, DFU 2024, Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers. in W Setiawan, AD Anggono, N Hidayati & M Kusban (eds), AIP Conference Proceedings. 1 edn, 020030, AIP Conference Proceedings, no. 1, vol. 2838, American Institute of Physics, 8th International Conference on Engineering, Technology, and Industrial Applications 2021, ICETIA 2021, Surakarta, Indonesia, 15/12/21. https://doi.org/10.1063/5.0181020

Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers. / Asfani, Dimas Anton; Darmayanti, Nungki Dian S.; Fahmi, Daniar et al.
AIP Conference Proceedings. ed. / Wisnu Setiawan; Agus Dwi Anggono; Nurul Hidayati; Muhammad Kusban. 1. ed. American Institute of Physics, 2024. 020030 (AIP Conference Proceedings; Vol. 2838, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers

AU - Asfani, Dimas Anton

AU - Darmayanti, Nungki Dian S.

AU - Fahmi, Daniar

AU - Prabowo,

AU - Sidartha, Indra

AU - Wibawa, Agus

AU - Hapsara, Ide Bagus

AU - Sudaryono,

AU - Dewantara, Rayhan Alifa

AU - Putra, Dimas Fajar Uman

PY - 2024/2/23

Y1 - 2024/2/23

N2 - The increase in electric vehicles affects the distribution system by triggering several disturbances such as voltage stress, high voltage fluctuations, voltage drops during peak loads, damage to distribution transformers, and even blackouts. It allows proper management when charging the electric vehicle. Therefore, this study uses a fuzzy logic-based controller to design an optimal charging system for electric vehicles based on the SOC (State of Charge) and Parking Duration. This charging management uses the concept of the vehicle-to-vehicle power transfer directed by scoring. Furthermore, simulations are carried out with subscription restrictions to the grid. The results showed that using this optimal charging system can flatten the load curve with the two inputs. However, the simulation results showed that the presence of FLC in the system can reduce the peak load on the system from 12 kW to 5.1 kW, and SOC (state of charge) at departure time is higher than initial arrival, even in some conditions can reach 100%.

AB - The increase in electric vehicles affects the distribution system by triggering several disturbances such as voltage stress, high voltage fluctuations, voltage drops during peak loads, damage to distribution transformers, and even blackouts. It allows proper management when charging the electric vehicle. Therefore, this study uses a fuzzy logic-based controller to design an optimal charging system for electric vehicles based on the SOC (State of Charge) and Parking Duration. This charging management uses the concept of the vehicle-to-vehicle power transfer directed by scoring. Furthermore, simulations are carried out with subscription restrictions to the grid. The results showed that using this optimal charging system can flatten the load curve with the two inputs. However, the simulation results showed that the presence of FLC in the system can reduce the peak load on the system from 12 kW to 5.1 kW, and SOC (state of charge) at departure time is higher than initial arrival, even in some conditions can reach 100%.

KW - Electric vehicle

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KW - Optimal Charging station

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A2 - Anggono, Agus Dwi

A2 - Hidayati, Nurul

A2 - Kusban, Muhammad

PB - American Institute of Physics

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Asfani DA, Darmayanti NDS, Fahmi D , Prabowo, Sidartha I, Wibawa A et al. Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers. In Setiawan W, Anggono AD, Hidayati N, Kusban M, editors, AIP Conference Proceedings. 1 ed. American Institute of Physics. 2024. 020030. (AIP Conference Proceedings; 1). doi: 10.1063/5.0181020

Optimal Charging Design And Analysis For Electric Vehicles Based On SOC And Parking Duration At Charging Stations Using Fuzzy Logic Based Controllers

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