Endurance driven energy management system for all-electric marine autonomous surface vehicle

Taimur Zaman; Mazheruddin Hussain Syed; Graeme Burt; Ali Wahoud; Gianfranco Gobbo; Garry Millard; Stefano Malagodi

doi:10.1109/IECON49645.2022.9968947

Endurance driven energy management system for all-electric marine autonomous surface vehicle

Taimur Zaman, Mazheruddin Hussain Syed, Graeme Burt, Ali Wahoud, Gianfranco Gobbo, Garry Millard, Stefano Malagodi

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

40 Downloads (Pure)

Abstract

An autonomous eco-robotic Surface Vessel (ASV) is designed to operate in extreme weather conditions with an autonomy of several days or months. This research work aims to present a process for on-board power management between the vessel’s power sources, while maximizing the use of Renewable Energy Sources (RES) and taking into consideration onboard sensor, navigation and control and data transfer power requirements. A detailed architecture for a DC network integrating Photovoltaic (PV) panels, Fuel Cells (FCs), hydro generator and energy storage systems is developed. An efficient and flexible Energy Management System (EMS) is developed for managing power sources and maximising endurance using only clean energy. To assess the performance of EMS in meeting the energy demands of the Ocean drone’s equipment and propulsion systems, a simulation-based analysis is carried out for realistic missions and scenarios. The developed EMS strategy intends to harvest the energy from PV and hydrogenerator while maintaining the Battery Energy Storage Systems (BESS) as charged as possible. The developed power supply system architecture and EMS can jointly accommodate the need for efficient and long-lasting operation of the vessel with CO2-emission free energy sources.

Original language	English
Title of host publication	IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-6654-8025-3
ISBN (Print)	978-1-6654-8026-0
DOIs	https://doi.org/10.1109/IECON49645.2022.9968947
Publication status	Published - 9 Dec 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society - Belgium, Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022 https://iecon2022.org/

Publication series

Name	IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
ISSN (Print)	1553-572X
ISSN (Electronic)	2577-1647

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society
Abbreviated title	IECON2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22
Internet address	https://iecon2022.org/

Keywords

electric vehicle (EV)
fuel cells
energy management system
battery based energy storage systems
PID control strategy
autonomous shipping vessels

UN SDGs

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

Access to Document

10.1109/IECON49645.2022.9968947

Zaman-etal-IECON-2022-Endurance-driven-energy-management-sysytem-for-all-electricAccepted author manuscript, 1.63 MBLicence: Strath_1

Cite this

Zaman, T., Syed, M. H., Burt, G., Wahoud, A., Gobbo, G., Millard, G., & Malagodi, S. (2022). Endurance driven energy management system for all-electric marine autonomous surface vehicle. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON49645.2022.9968947

@inproceedings{7fc1db99c25c435082f728b264031cb0,

title = "Endurance driven energy management system for all-electric marine autonomous surface vehicle",

abstract = "An autonomous eco-robotic Surface Vessel (ASV) is designed to operate in extreme weather conditions with an autonomy of several days or months. This research work aims to present a process for on-board power management between the vessel{\textquoteright}s power sources, while maximizing the use of Renewable Energy Sources (RES) and taking into consideration onboard sensor, navigation and control and data transfer power requirements. A detailed architecture for a DC network integrating Photovoltaic (PV) panels, Fuel Cells (FCs), hydro generator and energy storage systems is developed. An efficient and flexible Energy Management System (EMS) is developed for managing power sources and maximising endurance using only clean energy. To assess the performance of EMS in meeting the energy demands of the Ocean drone{\textquoteright}s equipment and propulsion systems, a simulation-based analysis is carried out for realistic missions and scenarios. The developed EMS strategy intends to harvest the energy from PV and hydrogenerator while maintaining the Battery Energy Storage Systems (BESS) as charged as possible. The developed power supply system architecture and EMS can jointly accommodate the need for efficient and long-lasting operation of the vessel with CO2-emission free energy sources.",

keywords = "electric vehicle (EV), fuel cells, energy management system, battery based energy storage systems, PID control strategy, autonomous shipping vessels",

author = "Taimur Zaman and Syed, {Mazheruddin Hussain} and Graeme Burt and Ali Wahoud and Gianfranco Gobbo and Garry Millard and Stefano Malagodi",

year = "2022",

month = dec,

day = "9",

doi = "10.1109/IECON49645.2022.9968947",

language = "English",

isbn = "978-1-6654-8026-0",

series = "IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE",

booktitle = "IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society",

note = "48th Annual Conference of the IEEE Industrial Electronics Society, IECON2022 ; Conference date: 17-10-2022 Through 20-10-2022",

url = "https://iecon2022.org/",

}

Zaman, T, Syed, MH, Burt, G, Wahoud, A, Gobbo, G, Millard, G & Malagodi, S 2022, Endurance driven energy management system for all-electric marine autonomous surface vehicle. in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968947

Endurance driven energy management system for all-electric marine autonomous surface vehicle. / Zaman, Taimur; Syed, Mazheruddin Hussain; Burt, Graeme et al.
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. (IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Endurance driven energy management system for all-electric marine autonomous surface vehicle

AU - Zaman, Taimur

AU - Syed, Mazheruddin Hussain

AU - Burt, Graeme

AU - Wahoud, Ali

AU - Gobbo, Gianfranco

AU - Millard, Garry

AU - Malagodi, Stefano

PY - 2022/12/9

Y1 - 2022/12/9

N2 - An autonomous eco-robotic Surface Vessel (ASV) is designed to operate in extreme weather conditions with an autonomy of several days or months. This research work aims to present a process for on-board power management between the vessel’s power sources, while maximizing the use of Renewable Energy Sources (RES) and taking into consideration onboard sensor, navigation and control and data transfer power requirements. A detailed architecture for a DC network integrating Photovoltaic (PV) panels, Fuel Cells (FCs), hydro generator and energy storage systems is developed. An efficient and flexible Energy Management System (EMS) is developed for managing power sources and maximising endurance using only clean energy. To assess the performance of EMS in meeting the energy demands of the Ocean drone’s equipment and propulsion systems, a simulation-based analysis is carried out for realistic missions and scenarios. The developed EMS strategy intends to harvest the energy from PV and hydrogenerator while maintaining the Battery Energy Storage Systems (BESS) as charged as possible. The developed power supply system architecture and EMS can jointly accommodate the need for efficient and long-lasting operation of the vessel with CO2-emission free energy sources.

AB - An autonomous eco-robotic Surface Vessel (ASV) is designed to operate in extreme weather conditions with an autonomy of several days or months. This research work aims to present a process for on-board power management between the vessel’s power sources, while maximizing the use of Renewable Energy Sources (RES) and taking into consideration onboard sensor, navigation and control and data transfer power requirements. A detailed architecture for a DC network integrating Photovoltaic (PV) panels, Fuel Cells (FCs), hydro generator and energy storage systems is developed. An efficient and flexible Energy Management System (EMS) is developed for managing power sources and maximising endurance using only clean energy. To assess the performance of EMS in meeting the energy demands of the Ocean drone’s equipment and propulsion systems, a simulation-based analysis is carried out for realistic missions and scenarios. The developed EMS strategy intends to harvest the energy from PV and hydrogenerator while maintaining the Battery Energy Storage Systems (BESS) as charged as possible. The developed power supply system architecture and EMS can jointly accommodate the need for efficient and long-lasting operation of the vessel with CO2-emission free energy sources.

KW - electric vehicle (EV)

KW - fuel cells

KW - energy management system

KW - battery based energy storage systems

KW - PID control strategy

KW - autonomous shipping vessels

U2 - 10.1109/IECON49645.2022.9968947

DO - 10.1109/IECON49645.2022.9968947

M3 - Conference contribution book

SN - 978-1-6654-8026-0

T3 - IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

BT - IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 17 October 2022 through 20 October 2022

ER -

Zaman T, Syed MH, Burt G, Wahoud A, Gobbo G, Millard G et al. Endurance driven energy management system for all-electric marine autonomous surface vehicle. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE. 2022. (IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON49645.2022.9968947

Endurance driven energy management system for all-electric marine autonomous surface vehicle

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this