Sign up for our popular daily email to catch all the latest EV news!
The rollout of high-power electric vehicle (EV) chargers in the UK is encountering significant obstacles due to prolonged grid connection delays, often stretching over months or years. This issue is critical as the need for rapid charging solutions intensifies, particularly for heavy goods vehicles (HGVs). Fortunately, a new artificial intelligence (AI) technology from CrowdCharge provides a breakthrough. By employing digital twin simulations, this technology streamlines the planning and operation of charging infrastructure, minimizing the need for extensive grid enhancements while reducing both costs and installation timelines.
Key Highlights:
- AI-Powered Optimization: CrowdCharge’s platform leverages AI to generate digital twins, enabling precise planning and optimization of charging projects prior to installation.
- Cost and Time Reduction: Through scenario simulations, it designs systems requiring smaller grid connections, cutting installation costs and speeding up deployment.
- Enhanced Operational Efficiency: The AI optimizes energy usage post-installation, lowering energy expenses and emissions, while facilitating revenue from grid services.
- Proven Effectiveness: Successfully tested in real-world applications like the Innovate UK V2VNY vehicle-to-grid (V2G) trial, it excels in managing complex energy systems.
Chinese automaker BYD is setting a global benchmark by installing 1,000 kW chargers in China, capable of adding 250 miles of range to EVs in just five minutes. While the UK aims to adopt similar high-power chargers for HGVs, grid connection delays have slowed progress. CrowdCharge’s AI-driven platform tackles this by simulating energy distribution across charging stations, using “intelligent energy compression” to outpace traditional load balancing. This reduces reliance on major grid upgrades, accelerating deployment.
Mike Potter, CEO of CrowdCharge, notes, “Megawatt chargers have the potential to revolutionize how quickly you can charge next-generation electric cars, as well as electric trucks, but the installation of such chargers can be subject to significant delays due to grid connections taking a number of years in many cases. But thankfully there’s a solution: new AI simulator technology can create a digital twin of a future project, allowing installers to reduce the scale of new grid connections, save energy costs, and unlock revenue from grid services.”
Beyond installation, the technology optimizes ongoing energy use, integrating battery storage and solar power to enhance savings and revenue potential. Organizations can explore this through a free 30-day trial by contacting CrowdCharge at their website. As EV adoption surges, such innovations are vital to meeting infrastructure demands efficiently.
Sign up for our popular daily email to catch all the latest EV news!
