08 Dec 2025
Professor David Howey selected as IEEE Fellow for contributions to battery modelling, diagnostics, and management
The grade of Fellow, awarded to less than 0.1% of members each year, recognizes unusual distinction in the profession and is reserved for a person with an outstanding record of accomplishments
Professor David Howey in the Battery Intelligence Lab at the University of Oxford
Recognizing the achievements of its members is an important part of the mission of IEEE. Each year, following a rigorous evaluation procedure, the IEEE Fellow Committee recommends a select group of recipients for elevation to IEEE Fellow. Less than 0.1% of voting members are selected annually for this honour.
The grade of Fellow recognizes unusual distinction in the profession and is reserved for a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The accomplishments that are being honoured have contributed importantly to the advancement or application of engineering, science and technology, bringing the realization of significant value to society at large.
Professor Howey, who leads the Battery Intelligence Lab at the University of Oxford, was selected in the Fellow Class of 2026 for contributions to battery modelling, diagnostics, and management. He says, “Being named an IEEE Fellow is an extraordinary honour, and I’m genuinely thrilled to receive this recognition of my research on energy storage systems. This reflects not just my own efforts, but the creativity and commitment of the brilliant students, colleagues, and collaborators I’ve had the privilege to work with over the past 15 years.”
Professor Howey's research expertise is in modelling, diagnostics and control of electrochemical energy devices and systems. Lithium-ion batteries are his current main focus, and he also has interests in other battery chemistries and integration of storage and renewable energy within the wider energy system.
“I’m excited to continue pushing the boundaries of the science and engineering that will make clean energy systems smarter, cheaper, and more durable.”
Professor David Howey
The Battery Intelligence Lab advances understanding of battery energy storage by modelling dynamics and lifetime, developing non-invasive diagnostic and estimation techniques, measuring real-world performance, and investigating how energy storage interacts with the power grid.
