Page 837 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



               By improving charging processes, the project helps reduce urban congestion and lowers
               harmful emissions, contributing to more sustainable and livable cities. Additionally, the focus on
               reducing energy waste directly supports broader climate action efforts, enhancing sustainability
               and resilience.                                                                                     Transport  4.10: Intelligent

               Overall, this initiative aligns with global goals for affordable clean energy, innovative
               infrastructure, sustainable urban development, and climate protection.


               Partner name: Yes, Potential Partners: AV manufacturers, smart grid providers�


               2�2     Benefits of use case

               In contrast to existing systems that provide reactive feedback, our solution proactively advises
               drivers by forecasting vehicle performance and translating these insights into actionable
               instructions. By leveraging the efficiency of Mistral for language generation and the predictive
               prowess of Chronos for time series forecasting, we deliver a comprehensive, real-time
               endurance driver assistance system that enhances safety and efficiency.

               Example: ‘Reduce speed to 45 km/h and maintain RPM around 1900. Estimated range: 8.3
               km. The upcoming downhill slope can regenerate ~3.5% battery.

               Sample Results (Simulation)

               •    Route A (no AI): Battery drop of 27% over 62km
               •    Route B (AI-optimized): Battery drop of 19.8% with 5.6% faster ETA
               •    Reinforcement-based driving feedback showed ~9.2% improvement in energy efficiency

               Visualization:

               In the vehicle interface, it (HUD, cluster, center console) shows:

               •    Predicted Range vs. Actual Range
               •    Real-time consumption vs. forecast
               •    Terrain profile and impact overlay
               •    Suggested action: “Maintain steady acceleration”, “Avoid hard braking”, etc.

               This project promotes the use of efficient and clean energy by optimizing electric vehicle
               charging, which helps minimize energy waste. It leverages advanced AI-driven infrastructure
               to support and accelerate the adoption of electric vehicles, fostering innovation within the
               transportation sector.


               By improving charging processes, the project helps reduce urban congestion and lowers
               harmful emissions, contributing to more sustainable and livable cities. Additionally, the focus on
               reducing energy waste directly supports broader climate action efforts, enhancing sustainability
               and resilience.

               Overall, this initiative aligns with global goals for affordable clean energy, innovative
               infrastructure, sustainable urban development, and climate protection.










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