JuiceNet app being used to monitor JuicePedestal charging a Nissan LEAF in a parking lot

JuiceNet IoT platform

Cloud-based platform for EV load management & optimization

JuiceNet platform overview

JuiceNet is a patented communication, control, and intelligence platform that dynamically matches drivers’ historical charging patterns, real-time input and signals from grid operators and utilities to aggregate and manage charging station demand.

 

Employing open APIs, JuiceNet can control any WiFi connected charging station and coordinates periodic, changes in charge rate and timing, which the driver can override at any time. Managing electric vehicle charging across thousands of charging stations enables JuiceNet to:

 

  • Improve grid reliability by minimizing charging ramp rates & reducing the demand on transformers

  • Improve grid economics by achieving higher utilization rates & ultimately saving all electricity users money on their monthly energy bill

  • Improve local air quality and reduce emissions by integrating more solar & wind into the grid

  • Reduce total cost of EVSE ownership & vehicle charging through grid participation incentives

The benefits of a JuiceNet virtual battery 

Tesla Model 3 driving in tunnel

JuiceNet partners

As the world speeds up efforts to decarbonize, decentralize and digitize energy systems, JuiceNet optimizes EV charging loads, helping integrate more renewables into the grid and supporting a cleaner, more efficient transportation sector.

 

Powering not only our family of JuiceBox charging stations, our JuiceNet platform offers smart grid control and revenue opportunities for our global partners, including automakers, EVSE manufacturers, utilities, and more.

 

JuiceNet smart charging platform

Dispatch & API access


  • Electricity market-based algorithms optimize both dispatchable EVSE resources for the grid and driver requirements
  • Each charging station can be dispatched with charge rate commands based on local grid response profiles
  • API support for utilities, Independent System Operators & various user interface front-ends

Predictive modeling & data

  • Balancing grid demand with predictive event modeling, based on EV driver behavior and electricity market capacity
  • Virtual EVSE grouping with automatic load sharing
  • Collection & storage of JuiceNet EVSE time series telemetry data

EV driver experience

  • Drivers maintain charging station control based on their charging preferences, time-of-use schedule and real-time charge rate
  • Drivers can override the network control signals at anytime
  • Access to charging station history, alerts & notifications