NATURALLY, YOU'RE FACED WITH CHALLENGES FOR YOUR CLIENTS:
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How can I reduce the charging costs for my clients?
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How can I achieve maximum charging coverage with minimal impact on the electrical infrastructure?
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How do I leverage the flexibility of the charging process?
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How can I ensure that users' charging convenience is not compromised?
INCREASE SUSTAINABILITY AND SAVE COSTS THROUGH INTELLIGENT ELECTRIC VEHICLE CHARGING MANAGEMENT
Challenges emerge due to existing infrastructures struggling with the power demands of multiple charging stations. Variable energy costs and power-related tariffs significantly affect electricity bills, emphasizing the importance of aligning consumption with solar generation through digital meter integration. Drivers' diverse charging preferences and session flexibility add complexity to the equation.
In response, ANSITU's charging intelligence addresses these elements, seamlessly controlling the charging process of the plaza based on artificial intelligence (AI) insights of future behavior, to achieve cost-effective and climate-conscious operation, all while ensuring charging convenience remains uncompromised.
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ARE YOU GUIDING COMPANIES THROUGH THE TRANSFORMATION OF THEIR PARKING AREAS INTO GENUINE CHARGING PLAZAS?
Do you deliver customized installations for your clients?
Do you design charging systems and are you looking to incorporate smart charging into your charging setup?
Our software environment, equipped with smart charging intelligence, empowers you to intelligently manage charging plazas. All this while remaining independent of a specific charging station manufacturer.
The software enables you to:
Reduce EV charging energy costs, regardless of your energy contract
Minimize power peaks according to your connection and power-based (capacity) tariff.
Increase self-consumption of renewable energy.
AI-POWERED INSIGHTS FOR CHARGING OPTIMIZATION
Our cloud-based intelligence uses AI-based techniques to obtain insights of the up to 24h future behavior of the plaza. It connects to a local controller which serves as a communication gateway to the charging stations, solar installation, and stationary battery.
Driver charging requirements are obtained through a smartphone app or forecast using AI-techniques. Real-time data of all the charging points, solar installation, and stationary battery is used in combination with the AI-based insights of future behavior to make decisions on the charging power of each individual charging point.
A handy user and site interface allows the drivers and plaza manager to follow the charging and plaza status in real time.
