Abstract
Understandmg the factors that affect hfe cycle costs m the earhest stages of product development bring valuable insights for vehcle archtecture decision malung Ths study presents a life cycle costing model used to compare hybrid electric vehicle architectures with varying levels of electrification to a reference conventional car. The work presented hghlights the importance of considering total costs of ownershp (COO) and operation alongside manufacturing costs in malung strategic business decisiom. Results from the life cycle cost model scenarios set for 2015-2024 show that car archtectures with increased electric range capability allow for significant customer fuel cost savings. These savings can offset increased manufacturing costs w i t h the first three years of ownershp based on US Energy Information Agency (EIA) current fuel and electricity pricing forecasts Tf fuel prices or annual vehicle use remain low, electrification becomes less attractive as payback periods are extended beyond 10 years time. Regardless of future energy pricing scenarios, the fixed costs of vehcle ownership remain the largest costs to the end user. Manufacturers can use this information to their advantage in creating new business models and designing cars that deliver increased value to the end customer. Because electrification sigmficantly reduces CO2 tailpipe emissiom, government incentives and taxing schemes are expected to play a positive roll in offsetting a large part of the additional manufacturing costs. Finally, optimization methods are used to determine sensitivities of variables that affect total cost of ownership. Of these variables the user's cityhighway driving profiles and the price of fuelElectricity have the greatest sensitivity to cost of ownership.
| Original language | English |
|---|---|
| Title of host publication | ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009 |
| Pages | 35-47 |
| Number of pages | 13 |
| Edition | PARTS A AND B |
| DOIs | |
| State | Published - 2009 |
| Event | ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009 - San Diego, CA, United States Duration: 30 Aug 2009 → 2 Sep 2009 |
Publication series
| Name | Proceedings of the ASME Design Engineering Technical Conference |
|---|---|
| Number | PARTS A AND B |
| Volume | 8 |
Conference
| Conference | ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009 |
|---|---|
| Country/Territory | United States |
| City | San Diego, CA |
| Period | 30/08/09 → 2/09/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
Keywords
- Life cycle cost modeling
- Product architecture
- Scenariio based optimization
- Total cost of ownership and operation
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