Maximizing space, the triangle pedestal can securely mount 1-3 independent charging stations 

The Blink IQ 200 chargers are the fastest Level 2 AC charging stations available, producing 80 amps of output, Operated on the Blink Network, they can charge any battery-electric or plug-in hybrid vehicle.  The plug-and-play design of the units allows for easy swap-out of the charger, making maintenance and any repairs a breeze.

(Note: $432/Year - Annual Network Fee) 

This Level 2 charger is ideal for new vehicle delivery, service, and customer parking areas. It will not show up as a part of the BlueOval Charge Network (BOCN). If used in customer parking areas it must be wrapped with Ford Logo/Branding.

Unique Design

• Supports charging currents from 12A to 80A
• Connector holster provides protection and storage
• Multi-colored high visibility illuminator indicates charging station’s status
• Convenient cable management design supports a long reach and storage between uses
• Height design conforms with ADA requirements
• Fee options include time-based, kWh-based, or session-based billing functionality
• Payment methods: RFID, Apple Pay, Google Wallet, and all major credit cards
• Pedestal accessories include single, dual, and triple port options
• OCPP support • Updated 25ft. cable with an ergonomic design
• Button locking mechanism prevents accidental disconnection

Touch Screen

• Daylight readable 7” color LCD with touch screen and 800 x 480 resolution
• Convenient, user-friendly user interface
• Displays charging station status and transaction details
• Pre-loaded with the Blink commercial user interface

Type 2 Charger Connector

• SAE J1772 Charge Connector (Standard in the United States)
• Grounded pole – first to make contact, last to break contact
• Designed for more than 10,000 cycles
• Can withstand being driven over by a vehicle
• Safe for use in wet or dry locations
• Compatible with integrated charge connector holster

Energy Management

• Internal meter to monitor energy and demand usage
• Supports real-time energy usage data evaluation