Electric Vehicle Integration and Optimization​

The Electric Vehicle Integration and Optimization project, running for three years, aims to facilitate the large-scale integration of electric vehicles (EVs) into Qatar’s power grid and urban infrastructure. The project addresses the impact of EV adoption on grid stability, load management, and renewable energy integration. It includes developing robust EV chargers tailored for arid climates, ensuring they withstand high temperatures, dust, and fluctuating energy supply.​ In addition to optimizing charger placement using advanced data analytics, the project explores innovative smart charging strategies to align EV charging with renewable energy availability, such as demand-response systems and off-peak charging. Another key component is the development of AI-based tools for estimating EV battery life and analyzing battery degradation mechanisms. This involves detailed data collection on battery usage patterns, temperature variations, and charge-discharge cycles, enabling the creation of predictive models to enhance battery performance, safety, and sustainability.​ The project also investigates off-grid charging stations, integrating renewable energy sources and energy storage solutions to support fast EV charging while promoting clean electrification and decarbonization. Collaborating with government entities, utilities, and research partners, this initiative supports the creation of a resilient and scalable EV ecosystem in line with Qatar’s National Vision 2030.​

Hamad Bin Khalifa University (HBKU)