Terbine recently released its Mission Control system for EV infrastructure, bringing unprecedented monitoring and management of complex, multi-vendor charging networks.
Coupled with the company’s cloud-based Charging Network Management Platform (CNMP), Mission Control leverages AI to make operating and maintaining charging systems straightforward and dependable.
One issue for EV drivers is being guided to a charging station only to find that the chargers won’t operate for them. Terbine Mission Control employs machine learning to predict when faults are likely to occur, then issue alerts to system operators. Linked with IBM’s segment-leading Maximo asset and maintenance management platform, Mission Control lets operators issue trouble tickets, pre-order parts and dispatch service technicians.
“Getting EV charging up to enterprise standards requires a top-down, well-architected approach and sophisticated monitoring,” explained David Knight, Terbine CEO. “Ensuring high uptime and dependability is critical to mainstream consumers and fleet operators adopting electric vehicles, as it was with cellular networks and many other technological evolutions.”
Mission Control also integrates feeds from vehicles, weather stations, fleet logistics systems, and many other elements of EV operations to create a comprehensive picture of charging network health.
Additionally, it models the locations and types of individual chargers, along with onsite battery storage units, physical, and cyber security monitors plus the service records of all network components. Operators can zoom into a region and look at the real-time status of charging network elements. When vehicle telematics or mobile apps are available, the system can determine optimal routing of drivers to chargers that are known to be operating and available, enabling a positive experience.
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