E-Mobility Analytics

As the discussion around e-mobility grows help with the transition to an all-electric mobility world is needed.

#01

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Challenge

Nowadays there is a lot of noise around electric mobility. As car manufacturers and the world turn towards this technology with the goal of lowering greenhouse gas emissions and as this technology gains momentum, a lot of discussions arise, bringing conflicting arguments, myths, assumptions and open questions to the surface. This we have in abundance… What we lack is real data and facts based on this data to support all these theoretical discussions.

Presentation slides

This is where it becomes interesting! We have the real data and we are looking for data enthusiasts, who can crunch the data and generate some very interesting facts. How do we charge? How much energy do we actually need in order to cover our monthly mobility needs? Do people wait for low tariff or do they charge during the day? How does the typical charging profile look like? How about charging at work or at other points of interest (supermarkets etc.)? These and many more questions are waiting for your analytics skills and talent to be answered!

Data: Over two years of charging profiles (power consumption) timeseries in 15-minute resolution of more than 200 charging stations from the backend system of our e-mobility market product.

Aim: Analyze the data set in order to visualize the behavior of e-mobility drivers, bust some myths and support arguments with facts.

Idea: Here some interesting questions: How do we charge? How many people wait for low tariff? How many people charge their cars right away when returning home? How does the car’s charging logic work? How many cars are waiting for early morning to be fully charged (when drive-off time is preset by the driver)? Do people charge every day or only when the batteries are empty? Do people charge always on the same day? On which day of the week do people mostly charge? Typical charging profiles How does a typical charging profile look like? Which patterns are the most important ones? Place of charging How different is the charging behavior at work or at other places of interest? These and other questions need to be answered.

Big Picture: As the discussion around e-mobility grows, facts are needed to support assumptions, deepen our knowledge and help with the transition to an all-electric mobility world. Understanding the behavior of charging will help us not only better understand e-mobility as a whole, but could also open new horizons for products and services.

🧑🏼‍🏫 EKZ Angelos Selviaridis

Event finished

17.09.2022 16:00

Joined the team

17.09.2022 06:58 ~ nicola_ruch

Event started

16.09.2022 09:00

Ask

08.08.2022 08:44

Edited content version 9

08.08.2022 08:44 ~ darienne_hunziker

Edited content version 7

02.08.2022 14:48 ~ darienne_hunziker

Edited content version 5

02.08.2022 14:46 ~ darienne_hunziker

Edited content version 3

02.08.2022 14:30 ~ darienne_hunziker

Challenge posted

02.08.2022 14:29 ~ darienne_hunziker
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