Sensitivity of battery electric vehicle economics to drive patterns, vehicle range, and charge strategies

By J. Neubauer, A. Brooker, E. Wood. 2012

155 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/d6a94f4e20d819b1a7a44bdc3886fe45d1ecbe51

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Jeremy J. Michalek
2. Orkun Karabasoglu
3. S. B. Peterson
4. Bert van Wee
5. K. Maat
6. Sjoerd Bakker

In Electrical and Electronic Engineering

1. Jeremy J. Michalek
2. Orkun Karabasoglu
3. Josef F. Krems
4. Thomas Franke
5. S. B. Peterson
6. Bert van Wee
7. K. Maat
8. Sjoerd Bakker

In Renewable Energy, Sustainability and the Environment

1. Orkun Karabasoglu
2. Jeremy J. Michalek
3. Bert van Wee
4. K. Maat
5. Sjoerd Bakker
6. W. Sierzchula

Citations in the corpus

• What drives range preferences in electric vehicle users (2013, background): “Moreover, more battery capacity results in a higher purchase price and, thus, lower affordability and cost-effectiveness (Neubauer et al., 2012).”
• Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains (2013, background): “The fuel economy and emissions of vehicles depend on the way they are driven, including daily driving distance (Shiau et al., 2010; Traut et al., 2012; Kelly et al., 2012; Neubauer et al., 2012, 2013; Raykin et al., 2012a,b) and driving conditions.”
• The influence of financial incentives and other socio-economic factors on electric vehicle adoption (2014, background): “An additional factor which influences consumer adoption is vehicle charging time (Hidrue et al., 2011; Neubauer et al., 2012).”
• A review on lithium-ion battery ageing mechanisms and estimations for automotive applications (2013, background): “Supposed evolution of EV sales is the result of petroleum prices increasing and is highly sensitive to the battery development [6].”
• Accounting for the Variation of Driver Aggression in the Simulation of Conventional and Advanced Vehicles (2013, background): “Investigation of trip patterns in [1] and [2] found that the variation in the distribution of daily miles traveled observed in real-world, multi-day drive data [3] produces significant variation in gasoline savings and total cost of ownership.”
• Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption (2013, background): “…represents the driving patterns of an aggregate US vehicle for each class and age, and we do not examine heterogeneity for different vehicles that have different driving patterns within each class-age group (Raykin et al., 2012; Shiau et al., 2009; Neubauer et al., 2012; Traut et al., 2012).”