Title | ||
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Variable-Prioritizing and Instrumentation for Monitoring of an Electrically-Powered Fluvial Vessel Through a FDM Approach |
Abstract | ||
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Monitoring is of strategic importance when concerning energy management in electric vehicles. Fully-electric boats and vessels are no exception. The proper selection of variables to be sensed, is a key issue when operating with limited energy resources. Underrating critical operational variables can impact vessel performance, and energy consumption, if they are not properly supervised. Yet, overstating variables implies additional computational costs and valuable energy wasted in acquisition and processing of non-critical information. This article implements a Function to Data Matrix (FDM) methodology to prioritize the variables to be sensed in a electro-solar fluvial vessel, based on its operational states. This approach enables to reduce the number of variables to monitor and keeping only the most relevant information. For the selected variables, electronic instrumentation, well suited to the fluvial application, is proposed together with the communication architecture for telemetry purposes. |
Year | DOI | Venue |
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2021 | 10.1007/978-3-030-86702-7_41 | APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2021 |
Keywords | DocType | Volume |
Electric vessel, Variable prioritizing, Data collection, FDM analysis, Electronic instrumentation, Sensors | Conference | 1431 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Felipe Mendoza | 1 | 0 | 0.34 |
Camilo Velez | 2 | 3 | 2.19 |
Santiago Echavarría | 3 | 0 | 0.34 |
Alejandro Montoya | 4 | 0 | 0.34 |
Tatiana Manrique | 5 | 0 | 0.34 |
Ricardo Mejía-Gutiérrez | 6 | 0 | 1.01 |