Methodology for Assessing the Impact of Aperiodic Phenomena on the Energy Balance of Propulsion Engines in Vehicle Electromobility Systems for Given Areas

Piotr Wróblewski, Wojciech Drożdż, Wojciech Lewicki and Paweł Miązek
Additional contact information
Piotr Wróblewski: Division of Aircraft Construction and Operation, Institute of Aviation Technology, Faculty of Mechatronics, Armament and Aerospace of the Military University of Technology, Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland
Wojciech Drożdż: Research Center for Management of Energy Sector, Institute of Management, University of Szczecin, Cukrowa Street 8, 71-004 Szczecin, Poland
Wojciech Lewicki: Faculty of Economics, West Pomeranian University of Technology Szczecin, Żołnierska 47, 71-210 Szczecin, Poland
Paweł Miązek: Research Center for Management of Energy Sector, Institute of Management, University of Szczecin, Cukrowa Street 8, 71-004 Szczecin, Poland

Energies, 2021, vol. 14, issue 8, 1-24

Abstract: The article presents the methodology of isolating aperiodic phenomena constituting the basis of the energy balance of vehicles for the analysis of electromobility system indicators. The symptom observation matrix (SOM) and experimental input data are used to analyze periodic phenomena symptoms. The multidimensional nature of the engine efficiency shortage has been well defined and analyzed in terms of errors in the general model using neural networks, singular value decomposition, and principal component analysis. A more difficult task is the analysis of a multidimensional decision-making process. The research used a data fusion method and the concept of symptom reliability, which is applied to the generalized failure symptom obtained by applying the singular value decomposition (SVD). The model research has been based on the gray system theory (GST) and GM forecasting models (1,1). Input data were obtained from the assessment of driving cycles and analysis of the failure frequency for 1200 vehicles and mileage of 150,000 km. Based on this analysis, it can be concluded that with the current infrastructure and operating costs and the frequency of failure of PHEV and BEV drives, ICEV vehicles are unrivaled in terms of their operating costs.

Keywords: electric vehicle; electromobility; energy balance; sustainable development; efficiency engines; clustering; charging stations; data analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/8/2314/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/8/2314/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:8:p:2314-:d:539754

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().