On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles

By M. Weiss, Martin K. Patel, M. Junginger, A. Perujo, P. Bonnel, G. Grootveld. 2012

178 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/10033fba076156ba5799369d18069d363c0027f2

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. Johannes Schmidt
2. Erwin Schmid
3. Christian Thiel
4. Amela Ajanovic
5. R. Haas

In Electrical and Electronic Engineering

1. Johannes Schmidt
2. Erwin Schmid
3. Wouter De Nijs
4. Christian Thiel
5. Amela Ajanovic
6. R. Haas

In Renewable Energy, Sustainability and the Environment

1. Erwin Schmid
2. Johannes Schmidt
3. Christian Thiel
4. Amela Ajanovic
5. S. Simoes

Citations in the corpus

• The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation (2016, methodology): “Recent publications and industry statements indicate that battery costs may decline faster than originally anticipated in previous studies (Weiss et al., 2012; Nykvist et al., 2015).”
• What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs (2018, methodology): “Weiss et al. (2012) stated that sample size that is appropriate to achieve a reasonable estimate depends on either the total population or the type of statistical tools to be used in the study.”
• The future of electric vehicles: prospects and impediments (2015, background): “Cmobility = IC · α + P · FI · skm + CO&M (€∕car∕year) (1) where IC is the investment costs (€/car), α is the capital recovery factor, skm is the specific km driven per car per year [km/(car.”