Artificial Intelligence: improving the electric mobility experience

Speed up the installation of electric charging stations on public roads by automating the usage potential and technical constraints analysis!

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Environmental issues, especially urban air pollution and the ensuing new regulations in this field, point to a dramatic increase in the use of electric vehicles in cities. However, in order to enable this change, roadside charging stations must become broadly available. In this context, urban planners want to swiftly roll out a tight network of EV (electric vehicle) charging stations. This rapid roll-out requires first and foremost the identification of suitable locations for EV charging stations. This can be achieved using two types of analyses: a spatial analysis taking into account all the technical constraints (existence of electricity and gas networks, vegetation, lampposts, etc.) and an economic analysis (potential use of the charging stations according to the profile of the neighbouring population).

This work currently relies on a manual process, and is therefore time-consuming. Wintics has automated the technical and economic analyses for each parking space using new data processing methods.

“Urban planners want to swiftly roll out a tight network of charging stations”. This entails easily identifying the most suitable locations”

“The combination of our technical expertise in data science, data engineering and economic analysis, as well as our experience in city planning, means we can offer our partners a turnkey solution to help them plan the installation of charging stations,” says Matthias Houllier, co-founder of Wintics. Helping to build the cities of tomorrow The young start-up Wintics, selected by the Numa innovation network and the City of Paris, has set about doing just that. For the third DataCity programme, Wintics had to propose practical solutions based on the analysis of data made available by the city and its partners in the project, Bouygues Energies & Services Sopra Steria and ALD Automotive. The solution was tested in March and April 2018, in Paris. It resulted in a prototype solution that can now be rolled out on a larger scale in the Île-de-France region and in other large cities. This is a good opportunity for Wintics to use its expertise in artificial intelligence and data science to tackle the urban challenges of the future.

Wintics is also at the cutting edge of artificial intelligence. Wintics has repeatedly demonstrated the effectiveness of its algorithmic solutions by winning several international competitions on cutting-edge Machine Learning topics such as predictive maintenance or detection of energy consumption anomalies.

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