Abstract
In this article an enhancement of an outboard motor DC electric energy system is proposed. The main aim of this research is to adapt the standard DC voltage system to military purposes. This implies that the available energy should be increased. The use of a large energy storage system is not a feasible solution due to the small boat's dimensions. An improvement of the efficiency is achieved by changing the AC-DC converter operation. The idle motor speed was also increased to increase the system input energy, but the motor speed is also constrained by the maximum sound level allowed during a military operation. An experiment was conducted to determine the available energy in the standard system, and the proposed solution was simulated to validate the findings.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 63rd Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers |
| ISBN (Electronic) | 9781665465588 |
| DOIs | |
| State | Published - 1 Jan 2022 |
| Event | 63rd IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Riga, Latvia Duration: 10 Oct 2022 → 12 Oct 2022 |
Publication series
| Name | 2022 IEEE 63rd Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Proceedings |
|---|
Conference
| Conference | 63rd IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 |
|---|---|
| Country/Territory | Latvia |
| City | Riga |
| Period | 10/10/22 → 12/10/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- DC power
- energy convertion
- energy efficiency
ASJC Scopus subject areas
- Computer Science Applications
- Energy Engineering and Power Technology
- Artificial Intelligence
- Automotive Engineering
- Electrical and Electronic Engineering
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