This paper analyses the cost competitiveness of different electrified propulsion technologies for the German auto market in 2020. Several types of hybrid electric vehicles including parallel hybrids (with and without external charging) and a serial range extended electric vehicle are compared to a conventional car with SI engine, a full battery electric vehicle and a hydrogen powered fuel cell vehicle. Special focus lies on the maintenance and repair cost and the expected resale value of alternative vehicles, which have been integrated within one extensive total cost of ownership model. The assessment shows that the current TCO gaps for alternative drivetrains will decrease significantly by 2020 mainly driven by the reduction in production cost. Furthermore hybrid electric vehicles will profit from lower maintenance and repair cost and a higher expected resale value compared to conventional cars. Therefore, hybrid electric vehicles will be an attractive option in particular for users with high annual mileages, who can benefit from the low operating cost of EVs in combination with unlimited driving range. The analysis concludes that there will not be one dominant powertrain design in the midterm future. Hence, automakers have to manage a wide portfolio of competing drivetrain architectures, which will increase the risk and complexity of strategic decisions.

In this study, we developed a model for calculating the costs of lithium-ion batteries supporting electric drive in light duty passenger vehicles (LDVs). The model calculates the annual materials requirements from design criteria for the battery pack including power, capacity, number of cells, and cell chemistry parameters. The costs of capital equipment, plant area and labor for each step in the manufacturing process were estimated for a baseline plant. These costs are adjusted for each battery pack studied by comparing the processing rate pertinent for each step (area to be coated, number of cells to be tested, etc.) with that of the baseline process and applying correction factors. We applied the cost modelling method to batteries with four lithium-ion cell chemistries and for several levels of capacity and power. For quality assurance purposes, electrode coating thicknesses are limited to 100 microns by the model. The result of this restriction is that as the capacity of the cells is increased to achieve longer range under electric power, the electrode area and the cell power are also increased and the power of the entire battery pack is also increased. In simulations of our reference chemistry for 16, 32 and 48 -km PHEVs there is almost no cost increase for increasing the pack power from 40 to 60kW; for PHEVs with 48-and 64 km electric range, there was almost no additional cost for power up to 90 kW. For a set value of pack energy storage, a small number of high capacity cells are much less expensive to manufacture than a large number of low-capacity cells. The useable fraction of the state-of-charge range for a battery system is shown to be an important cost factor. In view of cost similarities, the choice of cell chemistry will probably depend more on proven safety, reliability, and long life rather than on initial cost.

This paper describes the ongoing investigation into the determinants of alternative fiel vehicle choice. A stated preference vehicle choice sumey was conducted for the 47 of continental" U.S. states, excluding California. The national survey is based OL and is an extension o~previous studies on alternative fuel vehicle choice for the State of CaMornia conducted by.the University of California's Jnstitute of Transportation Studies (UC ITS). Researchers at UC ITS have used the stated-preference national survey to produce a series of estimates for new vehicle choice models. Three of these models are presented in this paper. The first two of the models were estimated using ordy the data from the national survey. The third model presented in this paper pools iniiormation from the national and California surveys to estimate a true mtional model for new vehicle choice.

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