• smart energy •

member of:

stationary batteries
  • Real-time system monitoring and control
  • Smart Energy & Health Management
  • Predictive maintenance for Li-ion and flow batteries
  • Diagnosis and prognosis in 2nd life applications
  • CO2 footprint monitoring
electric vehicles
  • Advance state estimation and prediction of battery technologies
  • Early prediction of criminal events
  • Fleet operation and management
  • Digital Twin
smart grids
  • Automated controls and Smart Energy management
  • Predictive maintenance
  • Prosumer management
  • Demand control

• stationary batteries •

cloud-based battery management system

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.

The IoT Platform integrates advanced functionalities:

  • Real-time battery monitoring and control
  • Modeling and digitalization of the system
  • State estimation and prediction
  • Diagnosis, prognosis and health management
  • Predictive Maintenance
  • Energy Management
  • Carbon footprint monitoring
  • Economic analysis
  • Digital Twin of the battery
stationary batteries Nvision

• electric vehicles •

digital twin

Digital Twins are embedded in the platform to provide advanced functionalities to the BMS:

  • On-line status monitoring of system variables
  • Diagnosis and prognosis of SoX
  • Early detection and prediction of hazardous events
  • Predictive maintenance and health management
  • Battery passport
  • Fleet management

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

• projects •

Digital Twin for a photovoltaic solar power plant, both to diagnose the state of health of the plant and supply maintenance recommendations, to reduce costs, extend lifetime, and achieve a better return on investment

High-power, high-frequency power converters for heavy-duty long-haul electric vehicles to obtain improved performance, safety, reliability, cost and sustainability

Digital Twins and applied IoT with advanced cloud-based functionalities for the management of energy, infrastructures and assets of intensive industries in urban environments

Digital Twins for Li-ion batteries, to improve operation, efficiency and lifetime, and advanced physic and data-driven models for battery diagnosis and prognosis

New concept of a smart, modular and scalable battery pack for a wide range of electric vehicles used in urban electromobility services, from mid-size electric vehicles to electric buses

Development and validation of the first 5 kW all-copper redox flow battery prototype for stationary storage applications, achieving sustainability, cost and performance using a new material, an innovative design, and intelligent control

Low-cost system for energy control in the SOHO segment, making the user a central element in decision-making, and using AI to obtain a reduction in energy consumption

New technologies in photovoltaic generation, stationary storage, and energy management for distributed generation under the paradigm of energy communities – Modelling of Redox Flow Batteries with Organic Electrolytes