Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications

Henar Mike O. Canilang; Danielle Jaye S. Agron; Wansu Lim

doi:10.1109/ICAIIC54071.2022.9722695

Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications

Henar Mike O. Canilang
, Danielle Jaye S. Agron
, Wansu Lim

Kumoh National Institute of Technology

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

Abstract

In this paper, a hybrid energy management system (HEMS) based on an edge processing scheme is presented. This HEMS is considered for deployment in the electric transportation industry which is a major sector for energy management applications. This approach paves the way for the emerging convergence of energy management systems (EMS) and intelligent applications. In this proposed scheme, the HEMS is integrated with edge processing to realize its intelligent and sustainable deployment. The HEMS is tested on a designed simulation platform and is re-deployed on an edge device for model verification. The implemented HEMS utilizes a battery and ultra-capacitor pack as the source. The battery pack and the ultra-capacitor pack have a rated maximum voltage of 50.4 V each.

Original language	English
Title of host publication	4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	427-430
Number of pages	4
ISBN (Electronic)	9781665458184
DOIs	https://doi.org/10.1109/ICAIIC54071.2022.9722695
State	Published - 2022
Externally published	Yes
Event	4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Jeju lsland, Korea, Republic of Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings

Conference

Conference	4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022
Country/Territory	Korea, Republic of
City	Jeju lsland
Period	21/02/22 → 24/02/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Battery
edge device
edge processing
hybrid energy management system
ultra-capacitor

Access to Document

10.1109/ICAIIC54071.2022.9722695

Cite this

Canilang, H. M. O., Agron, D. J. S., & Lim, W. (2022). Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications. In 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings (pp. 427-430). (4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC54071.2022.9722695

Canilang, Henar Mike O. ; Agron, Danielle Jaye S. ; Lim, Wansu. / Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications. 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 427-430 (4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings).

@inproceedings{528b5749514449d6a8a8ead854015b50,

title = "Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications",

abstract = "In this paper, a hybrid energy management system (HEMS) based on an edge processing scheme is presented. This HEMS is considered for deployment in the electric transportation industry which is a major sector for energy management applications. This approach paves the way for the emerging convergence of energy management systems (EMS) and intelligent applications. In this proposed scheme, the HEMS is integrated with edge processing to realize its intelligent and sustainable deployment. The HEMS is tested on a designed simulation platform and is re-deployed on an edge device for model verification. The implemented HEMS utilizes a battery and ultra-capacitor pack as the source. The battery pack and the ultra-capacitor pack have a rated maximum voltage of 50.4 V each.",

keywords = "Battery, edge device, edge processing, hybrid energy management system, ultra-capacitor",

author = "Canilang, \{Henar Mike O.\} and Agron, \{Danielle Jaye S.\} and Wansu Lim",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 ; Conference date: 21-02-2022 Through 24-02-2022",

year = "2022",

doi = "10.1109/ICAIIC54071.2022.9722695",

language = "English",

series = "4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "427--430",

booktitle = "4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings",

}

Canilang, HMO, Agron, DJS & Lim, W 2022, Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications. in 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 427-430, 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022, Jeju lsland, Korea, Republic of, 21/02/22. https://doi.org/10.1109/ICAIIC54071.2022.9722695

Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications. / Canilang, Henar Mike O.; Agron, Danielle Jaye S.; Lim, Wansu.
4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 427-430 (4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings).

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

TY - GEN

T1 - Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications

AU - Canilang, Henar Mike O.

AU - Agron, Danielle Jaye S.

AU - Lim, Wansu

PY - 2022

Y1 - 2022

N2 - In this paper, a hybrid energy management system (HEMS) based on an edge processing scheme is presented. This HEMS is considered for deployment in the electric transportation industry which is a major sector for energy management applications. This approach paves the way for the emerging convergence of energy management systems (EMS) and intelligent applications. In this proposed scheme, the HEMS is integrated with edge processing to realize its intelligent and sustainable deployment. The HEMS is tested on a designed simulation platform and is re-deployed on an edge device for model verification. The implemented HEMS utilizes a battery and ultra-capacitor pack as the source. The battery pack and the ultra-capacitor pack have a rated maximum voltage of 50.4 V each.

AB - In this paper, a hybrid energy management system (HEMS) based on an edge processing scheme is presented. This HEMS is considered for deployment in the electric transportation industry which is a major sector for energy management applications. This approach paves the way for the emerging convergence of energy management systems (EMS) and intelligent applications. In this proposed scheme, the HEMS is integrated with edge processing to realize its intelligent and sustainable deployment. The HEMS is tested on a designed simulation platform and is re-deployed on an edge device for model verification. The implemented HEMS utilizes a battery and ultra-capacitor pack as the source. The battery pack and the ultra-capacitor pack have a rated maximum voltage of 50.4 V each.

KW - Battery

KW - edge device

KW - edge processing

KW - hybrid energy management system

KW - ultra-capacitor

UR - https://www.scopus.com/pages/publications/85127664056

U2 - 10.1109/ICAIIC54071.2022.9722695

DO - 10.1109/ICAIIC54071.2022.9722695

M3 - Conference contribution

AN - SCOPUS:85127664056

T3 - 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings

SP - 427

EP - 430

BT - 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022

Y2 - 21 February 2022 through 24 February 2022

ER -

Canilang HMO, Agron DJS, Lim W. Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications. In 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 427-430. (4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings). doi: 10.1109/ICAIIC54071.2022.9722695

Hybrid Energy Management Systems based on Edge Processing for Electric Transportation Applications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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