ChargeLab announced the beta launch of Spark, which are advanced AI tools for proactive EV charger monitoring and maintenance. Spark uses AI and machine learning to help teams keep EV chargers reliable and functional, regardless of charger make or model. The suite of tools is aimed at spotting charging network issues before they stop EV drivers from charging.
Spark AI has been in alpha development at ChargeLab since September 2023. The initiative is now advancing to beta, opening access to more customers and adding a new Analyze with Spark button to the ChargeLab dashboard. The target users for Spark are network operations specialists focused on deploying and maintaining large networks of EV chargers.
These specialists work at dc fast-charging networks, turnkey installation firms, fleets, and other businesses that manage commercial EV chargers.
Site hosts and network operations specialists can access ChargeLab’s AI by navigating to the EV charger page on their site host dashboard and clicking Analyze with Spark. With one easy button, users can call ChargeLab’s AI, which is fine-tuned to understand EV chargers and OCPP messages. A large language model (LLM) is used to simplify the results into clear, easy-to-understand diagnostic summaries. This enables technical and non-technical users to analyze and troubleshoot issues remotely.
In addition to Analyze with Spark, which diagnoses issues after they have occurred, a separate Signals tab proactively monitors for problems before they arise. The Spark Signals engine uses dynamic pattern recognition to extract actionable insights from raw OCPP logs and system events. This allows network operations specialists to detect issues early, proactively keeping chargers operational and minimizing downtime.
Filed Under: Charging, Technology News