SAE Technical Paper Series 2014
DOI: 10.4271/2014-01-1965
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Dynamic Wireless Power Transfer: Potential Impact on Plug-in Electric Vehicle Adoption

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Cited by 20 publications
(7 citation statements)
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“…In order to characterize the impact of advanced technologies on consumer behavior, ORNL developed the Market Acceptance of Advanced Automotive Technologies (MA 3 T) model and predicted that dynamic wireless charging could boost the EV share of light duty vehicle (LDV) sales to more than 60% by 2050. In comparison, when there is no dynamic WPT system deployment throughout the timeline, the share can only reach 20-30% by 2050 [69,82]. EV sales boosted by WPT technology would be of value for car manufacturers as it will be a technology multiplier to credit their fleet corporate average fuel economy (CAFE) figures in the 2025 calculations [69].…”
Section: Economic and Policy Analysesmentioning
confidence: 99%
“…In order to characterize the impact of advanced technologies on consumer behavior, ORNL developed the Market Acceptance of Advanced Automotive Technologies (MA 3 T) model and predicted that dynamic wireless charging could boost the EV share of light duty vehicle (LDV) sales to more than 60% by 2050. In comparison, when there is no dynamic WPT system deployment throughout the timeline, the share can only reach 20-30% by 2050 [69,82]. EV sales boosted by WPT technology would be of value for car manufacturers as it will be a technology multiplier to credit their fleet corporate average fuel economy (CAFE) figures in the 2025 calculations [69].…”
Section: Economic and Policy Analysesmentioning
confidence: 99%
“…Consumers' preferences for these attributes were monetised, drawing on the empirical data and relationships embedded within a detailed transport sector model (MA 3 T). 53 These 'intangible' costs and benefits were then included alongside pure financial costs as extra parameters in the models' equations determining vehicle choice (see Methods and Supplementary Methods). Importantly, these additional terms vary uniquely by consumer type, by region, and by vehicle technology.…”
Section: Model Development and Scenario Designmentioning
confidence: 99%
“…The task of including heterogeneous behavioural features in the models of this study has necessitated the transfer of insights, data, and reducedform relationships from a more detailed transport sector model, MA 3 T (Market Acceptance of Advanced Automotive Technologies), a nested multinomial logit vehicle choice that estimates choice probabilities (considering a range of financial and non-financial attributes) for a variety of vehicle types by consumer segment, with a focus on the USA (see Supplementary Methods). 53 This model is built upon empirically-derived data and relationships, which we then supplemented with additional empirical evidence relevant for other parts of the world (see below).…”
Section: Model Enhancements For Representing Heterogeneous Behaviouramentioning
confidence: 99%
“…• Potential impact of dynamic wireless charging on PEV sales (Lin et al, 2014) • Global transportation technology transition (McCollum et al, 2016),…”
Section: Model Applicationsmentioning
confidence: 99%