The problem isn’t the number of EV chargers, it’s where they are
Location intelligence can increase EV charger utilization rates
Effective placement increases usage and profits
The company has developed a proprietary machine learning model to predict and categorize site utilization to a high degree of accuracy.
It uses 70 different data points, including income levels, time of day traffic, nearby amenities, local competition, the number and speed of current EV chargers in the area, and the growth of EV adoption.
Stable Auto is currently working with major utility providers, charging networks, sites, and operators across the US. It allows them to gauge new locations against millions of charging events, test real build-out scenarios, understand potential trade-offs, and bolster their business case with a higher score.
This data is also relevant to the government, investors and banks that underwrite and fund EV charging infrastructure.
An opportunity to incentivize EV charging in low-income areas
The statistics also create a means to introduce equity charging to incentivize lower costs or subsidized chargers in places where use is traditionally low.
Stable Auto used its Site Score product to analyze public charging station placement. Purl noted that mostEV charger placementsserve and prioritize high-income areas. So, the ability to show where there are opportunities to increase equitable access and foster EV adoption is a valuable way to supportEVadoption.
EVs are set to become mainstream in the next couple of decades.Public chargingwill never be as simple as that enjoyed by thosechargingat home. But Stable is helping make it a lot easier.
Story byCate Lawrence
Cate Lawrence is an Australian tech journo living in Berlin. She focuses on all things mobility: ebikes, autonomous vehicles, VTOL, smart ci(show all)Cate Lawrence is an Australian tech journo living in Berlin. She focuses on all things mobility: ebikes, autonomous vehicles, VTOL, smart cities, and the future of alternative energy sources like electric batteries, solar, and hydrogen.
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