Abstract
The transition towards electric mobility is expected to take off the coming years, as more EV car models access the market and charging infrastructure is being expanded. The expansion of charging infrastructure will have to accelerate to keep pace with the fast-growing need for charging. The coming years will be marked by uncertainty regarding technological developments (batteries, range), charging technologies (e.g. fast charging, inductive), growth of car sharing and autonomous driving and impact on user preferences and charging behaviour Data management is key to the EV market and public parties involved: to be able to adapt quickly to changes and to reduce risks and costs. This paper describes the five most important preconditions for effective data management that allows stakeholders to monitor the performance of their charging infrastructure and to take informed decisions on rollout strategies based on data science research results.
Original language | English |
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Number of pages | 12 |
Publication status | Published - 20 May 2019 |
Event | International Electric Vehicle Symposium 32 - Neurexpo, Lyon, France Duration: 19 May 2019 → 22 May 2019 |
Conference
Conference | International Electric Vehicle Symposium 32 |
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Abbreviated title | EVS32 |
Country/Territory | France |
City | Lyon |
Period | 19/05/19 → 22/05/19 |