Smart Energy

Digitalization of energy systems for advanced monitoring and management

Stationary batteries

The Smart BMS hosted in the cloud is based on a service-oriented approach that ensures the secure interaction and cooperation in real-time of a number of intelligent and self-configuring modules to reach high performance, cost-effectiveness and sustainability of stationary systems such as Li-ion (including 2nd life) and flow batteries

Cloud-based battery management system

 The IoT Platform integrates advanced functionalities:


  • Real-time battery monitoring and control
  • Modeling and digitalization of the system
  • State estimation and prediction
  • Predictive maintenance for Li-ion and flow batteries
  • Diagnosis, prognosis, and health management
  • Predictive Maintenance
  • Energy Management
  • Carbon footprint monitoring
  • Economic analysis
  • 2nd life applications
  • Digital Twin of the battery

Electric vehicles

Digital Twin of the battery

Digital Twins are embedded in the platform to provide advanced functionalities to the BMS (Battery Management System):


  • Online status monitoring of system variables
  • Battery health estimation
  • Early detection and prediction of anomaly events
  • Digital Twin
  • Diagnosis and prognosis of SoX
  • Battery passport

IOT Platform: connectivity and interoperability

The IoT platform provides interconnection of different software platforms needed for controlling a single vehicle or a complete fleet, including the BMS, the vehicle controller, and the charging station platform

The IoT architecture allows real-time and secure interaction and cooperation between these elements in an intelligent and self-configuring approach, ensuring superior control and management of performance, health and sustainability of EVs and fleets

Smart grids

IoT and Decision Support Systems based on applied Artificial Intelligence for optimizing design, operation, energy consumption, demand control, cost-effectiveness, and lifecycle of energy assets and infrastructures in microgrids, by maximizing the synergies of local renewable power generation, BESS and electric vehicle fleets.

The solution integrates the following functionalities:


  • Advanced monitoring and energy management in real-time
  • Traceability of historical data
  • Optimized control: fault detection, identification and management
  • State estimation and prediction of energy assets
  • Predictive maintenance and health management of energy assets.
  • Monitoring of carbon footprint
  • EV Fleet operation and scheduling optimization.
  • Economic analysis and assessment
  • Digital Twins of energy assets