Event-Driven Architectures for High-Throughput EV Charging Networks

Abstract

EV charging networks are becoming high-throughput digital service environments in which chargers, user sessions, telemetry, payments, reservations, and control signals generate continuous asynchronous activity. Existing studies have addressed charging-station operation, e-mobility platform design, OCPP-based management, intelligent monitoring, and backend orchestration, showing that large charging systems increasingly depend on modular software and real-time data handling. However, the literature remains fragmented across protocol management, monitoring, and platform design, leaving a gap in unified architectures that treat EV charging networks as largescale event-processing systems. To address this issue, this article presents a scalable event-driven architecture based on asynchronous event production, broker-mediated routing, stream-oriented processing, queue-aware scaling, idempotent consumer behavior, and adaptive feedback control. The results show improved event-processing throughput, lower end-to-end latency, and better responsiveness under rising charger-network load. Overall, the study demonstrates that event-driven design provides a scalable foundation for nextgeneration EV charging ecosystems.