Case Study: Leading EV Charging Station Provider cuts maintenance costs and false alarms with FogHorn

Leading EV Charging Station Provider Slashes Maintenance Costs, Improves Customer Satisfaction

Leading EV Charging Station Provider, a major Chinese EV charger manufacturer and operator, faced challenges managing data from 500 charging stations each day. The company needed to improve utilization, anticipate maintenance needs, reduce false alarms, and speed response times to boost customer satisfaction. It turned to FogHorn’s edge intelligence and machine learning platform to process charging data closer to the source.

FogHorn implemented a two-level edge analytics architecture using the Lightning Platform, VEL, and EdgeML on Dell servers to ingest, clean, and analyze voltage, current, and temperature data in real time. FogHorn significantly reduced false positives, improved monitoring granularity, enabled predictive maintenance, and supported more reliable charging-time estimation and faster alert handling. The result was lower maintenance cost, less downtime, and better customer experience through real-time condition monitoring and smarter maintenance.