Publication: Predictive analysis of cost ownership of internal combustion engine (ICE), hybrid and electric vehicle
| datacite.subject.fos | oecd::Engineering and technology::Mechanical engineering | |
| dc.contributor.author | Ahmad Syuja’ie bin Airon Shah | |
| dc.date.accessioned | 2026-01-14T03:37:03Z | |
| dc.date.available | 2026-01-14T03:37:03Z | |
| dc.date.issued | 2023-07-14 | |
| dc.description.abstract | Predicting the expenses of various vehicle types, especially internal combustion engine (ICE), hybrid, and electric vehicles, is becoming more essential as the world continues to move towards sustainable transportation solutions. This study intends to undertake predictive analysis of the costs associated with ICE, hybrid, and battery-electric vehicles, considering a number of variables including the cost of the vehicle itself, fuel and energy expenses, maintenance costs, and environmental costs,to some extent. The overall ownership cost has been selected as the analysis's key variable. All the data is sourced from research journals and articles that have been previously published. Other than the ownership cost in this article, prediction analysis will also focus on predicting the fuel price for ICE and Hybrid. While BEV we will predict the tariff price for the next upcoming years based on journals and articles. The research intends to offer beneficial insights for future sustainability and energy planning. Forecasting fuel costs for ICE and hybrid vehicles is part of the study, which takes into account important variables such geopolitical impacts, supply-demand equilibrium, and global oil price trends. The report also makes predictions for BEV tariff prices for the foreseeable future, taking into consideration a variety of variables like changing governmental regulations, improvements in battery technology, economies of scale, and customer adoption trends. The results of this study will aid in the development of sustainable mobility solutions and informed decision-making in the fields of energy policy and transportation planning.The findings of this predictive analysis provide valuable insights for consumers, policymakers, and stakeholders in the automotive industry to make informed decisions about the costs associated with different types of vehicles. The study also contributes to the growing body of research on sustainable transportation and provides a foundation for further research in the field of predictive analysis of vehicle costs. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23413 | |
| dc.language.iso | en | |
| dc.title | Predictive analysis of cost ownership of internal combustion engine (ICE), hybrid and electric vehicle | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |