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Can product service systems support electric vehicle adoption?

Axel Ensslen, Till Gnann, Patrick Jochem, Patrick Plötz, Elisabeth Dütschke, Wolf Fïchtner · 2018 · 37 citationsRead the paper

Plug-in electric vehicles are seen as a promising option to reduce oil dependency, greenhouse gas emissions, particulate matter pollution, nitrogen oxide emissions and noise caused by individual road transportation. But how is it possible to foster diffusion of plug-in electric vehicles? Our research focuses on the question whether e-mobility product service systems (i.e. plug-in electric vehicles, interconnected charging infrastructure as well as charging platform and additional services) are supportive to plug-in electric vehicle adoption in professional environments. Our user oriented techno-economic analysis of costs and benefits is based on empirical data originating from 109 organizational fleets participating in a field trial in south-west Germany with in total 327 plug-in electric vehicles and 181 charging points. The results show that organizations indicate a high willingness to pay for e-mobility product service systems. Organizations encounter non-monetary benefits, which on average overcompensate the current higher total cost of ownership of plug-in electric vehicles compared to internal combustion engine vehicles. However, the willingness to pay for e-mobility charging infrastructure and services alone is currently not sufficient to cover corresponding actual costs. The paper relates the interconnected charging infrastructure solutions under study to the development of the internet of things and smarter cities and draws implications on this development.

1 idea Seedlabs derived from this research

A B2B software tool for logistics companies to calculate greenhouse gas savings and battery optimization potential based on the percentage of a route covered by electric road systems (ERS). The tool helps fleet operators determine the ideal balance between infrastructure usage and vehicle battery size to minimize both emissions and total cost of ownership.

AI score 86/100