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Battery management systems (BMS) for managing both charge and discharge of individual or groups of cells is essential for safety and increasing performance of the system. Balancing can be a simple passive circuit that normalises voltages in the steady-state or highly complex, using networks of active converter circuits that provide balancing function in both transient and steady-state.

Advanced energy storage techniques require advanced grid interfaces. Such advanced interfaces ensure that bidirectional inverter or converter technologies are capable of harnessing the benefits of the storage technique, helping unlock the advantages of new storage technologies.

Simplifying the coordination of vast numbers of Energy Storage (ES) Systems by clustering them dynamically into Virtual Power Plants (VPPs). The main technical challenge caused by massive penetration of different types of ES is the coordination of vast numbers of ES systems, bringing together various types and capacities of ES systems, individual customer behaviour, connections and disconnections of ES systems and potential power network changes.

Unlocking the benefits of large-scale energy storage systems requires advances in power electronics topologies for interfacing and supporting the electricity grid. Multilevel converters can provide optimised, reliable, modular and cost-effective solutions for large-scale multi-megawatt energy storage systems across a range of energy storage technologies.

Hybrid energy storage systems (ESS) combine individual advantages of different types of storage to realise a single ESS with both higher power and energy capabilities. Battery-supercapacitor based hybrid ESS help to reduce the battery power rating and extend battery life by minimizing the current variation.

Battery storage plays an important role in microgrids, improving grid reliability and resilience while facilitating effective operation of critical and frequency-sensitive loads. Battery storage is critical both for daily operation of a microgrid, as well as providing for grid redundancy in extreme events.

Developing schemes to manage the power requirements of solar-powered street furniture—such as traffic/warning signs, street lights, interactive street screens, smart bins, park benches for charging mobile devices, home furniture or pavements with integrated solar panels—to ensure it is self-sustaining and integrated with energy storage.

Working at the crossroads of health and technology to apply signal processing and machine learning algorithms to data, such as speech and bio-signals, to assist healthcare providers and improve the quality of patients’ lives.

The development of the optrode array chip: a stepping stone towards the next generation of high-density, implantable brain/machine interface.

Design of Application Specific Integrated Circuits (ASICs) and systems for biomedical implants.

Software Defined Networking (SDN) enables improved visibility, management and control of networks using software decoupled from switching hardware. Use-cases include analytics of video traffic in carrier networks and flexible cyber-security for enterprise networks.

Robust machine learning algorithms in embedded devices to obtain novel insights and enable real-time decision making while ensuring system security and the privacy of users.