Motivation and Scope

ES-TC Mission:
The ES-TC aims to provide an open, multi-disciplinary, and dynamic environment to foster aggregation and collaboration among experts from academy and industry interested in testing, modeling, managing, and deploying energy storage systems. The main focus is on rechargeable batteries and super-capacitors, but attention is also drawn to other innovative energy storage technologies. An important goal of the ES-TC is the dissemination of up-to-date research achievements and new ideas related to the topics of interest for the TC (link to the topic page). On these topics, the ES-TC promotes the organization of special sessions on IEEE-IES Transactions and Conferences, as well as tutorials and workshops.

Current research in the area of Energy Storage can be generally listed as follows.

  • Energy Storage Technology
    • New battery and super-capacitor materials, devices, and charging (wired or wireless)
    • Fuel-cell, flywheels, compressed air, pumped hydro, etc.
  • Energy Storage Testing and Modeling
    • Battery modeling
    • Battery performance, ageing, and safety testing
    • Battery diagnosis and prognosis
  • Energy Storage Management
    • Energy storage model parameters identification
    • Battery state of charge (SOC) and state of health (SOH) estimation
    • Embedded systems for ES management
    • Data-driven algorithms
    • Fuzzy and Neural Networks
    • Artificial intelligence (AI) / Machine learning
    • Energy storage thermal management
    • Energy management of hybrid energy storage systems
  • Energy Storage Applications
    • Automotive (Electric Vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs)
    • Stationary (Utility grid, Smart grid, Back-up systems)
    • Low-power portable devices
    • IoT sensor compliance for vehicle
  • Power Electronics
    • Power converters
    • Wireless power transfer for energy storage charging
    • Cell balancing methods
  • Power Systems



Keywords:
Ageing, Battery Management System (BMS), Charge equalization, Compressed air, EVs, PHEVs, Flywheels, Fuel cell, Hybrid energy storage (ES) systems, Hydrogen technology, Lithium-ion batteries, Lead-acid batteries, Modeling, Parameters identification, Power flow management, Prognosis, Pumped hydro, Redox flow batteries, Smart-grid, SOC estimation, SOH estimation, Thermal management