Implementation and Challenges of Edge Controller in EV to Monitoring

Electric vehicle (EV) space, the integration of edge computing technologies has become a key advancement. This article discusses the implementation of edge controller in an EV system that incorporates a full suite of sensors and communication modules, including battery management system (BMS) sensors, driver health monitoring, and tire pressure monitoring. The proposed approach utilizes lidar, camera systems, vehicle-to-vehicle (V2V), and Vehicle to Everything (V2X) communication. Edge controllers facilitate real-time data processing and decision-making at vehicle level, improving operational efficiency, safety, and user convenience. Key capabilities include optimizing battery performance with an advanced BMS, real-time driver health assessment, monitoring tire pressure for improved safety, and using LiDAR and camera data to enhance environmental awareness. The integration of V2V, V2X, and V2I (vehicle-to-infrastructure) communications further supports intelligent transportation systems by enabling seamless data exchange with other vehicles and infrastructure. Additionally, the edge controller acts as a gateway, enabling secure and efficient communication between internal vehicle systems and external networks. This article describes the architecture, implementation, and benefits of using edge controllers in EV systems, highlighting their potential to revolutionize modern transportation by improving security, performance, and connectivity.