Electric car manufacturer BYD has announced the installation of over 4,000 electric vehicle (EV) chargers with a maximum output of 1,360 kW in China. These “megawatt flash-chargers” can provide approximately 250 miles of range in just five minutes, significantly faster than Tesla’s Supercharger network.
Although BYD may not install these chargers in the UK, there are plans for similar high-power chargers designed for heavy goods vehicles (HGVs). However, obtaining grid connections for such chargers can take years in the UK. To accelerate installation and lower costs, load balancing can be employed to distribute power across multiple stations.
CrowdCharge’s new technology uses artificial intelligence (AI) to efficiently manage megawatt chargers. By employing digital twin simulations during the planning stages, this technology can reduce the need for grid upgrades and help lower energy costs and emissions during operation. Mike Potter, CEO of CrowdCharge, emphasises that this AI-driven simulator enables installers to streamline grid connections and unlock revenue from grid services.
Organisations, such as charge point operators and local authorities, are to visualise a ‘digital twin’ of their low-carbon technologies, optimising infrastructure development and reducing costs. The platform evaluates complex variables across multiple sites, minimising grid upgrade requirements and maximising revenue from grid services.
Also, organisations looking to save on energy infrastructure projects, CrowdCharge offers a free 30-day trial of its simulator.
- CrowdCharge is a partner in the Innovate UK V2VNY vehicle to grid (V2G) project, which is trialling V2G using AC (alternating current), a more affordable solution than vehicle-to-grid charging using DC (direct current). CrowdCharge technology was previously validated in the Electric Nation smart charging and V2G projects.
