- Areas of Interest - 

• New battery and super-capacitor materials, devices, and charging (wired or wireless)

• Fuel-cell, flywheels, compressed air, pumped hydro, etc. 

• Battery modeling

• Battery performance, ageing, and safety testing

• Battery diagnosis and prognosis

• 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

• 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 converters

• Wireless power transfer for energy storage charging

• Cell balancing methods

• Power systems

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