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EV Charging Data Management, five issues to solve

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.

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EV Charging Data Management, five issues to solve
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Data as driver

The world of electric mobility and charging infrastructure has accelerated in recent years: from a start-up to a mature market. During the last decade, researchers at Amsterdam University of Applied Sciences have contributed to making the rollout and use of charging infrastructure smarter. By analysing data, simulating future scenarios, testing in practice and developing the necessary hardware, a step towards a mature market has been taken.In this book, we give you insight into this research, focusing on the last five years in which the Future Charging research project took place. We wish you a lot of reading pleasure and inspiration in order to jointly take the next step towards a zero-impact world through mobility.

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Data as driver
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Zero emission tourism mobility: a research and policy agenda

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Zero emission tourism mobility: a research and policy agenda