• Mac Geoffrey Ajaereh

  • Theme:Propulsion Electrification
  • Project:Ultrasound Non-destructive Evaluation for Lithium-ion Battery Packs
  • Supervisor: Chris Vagg ,Charles Courtney
  • The Gorgon's Head - Bath University Logo


Mac Geoffrey is a PhD student from the Department of Mechanical Engineering at the University of Bath and Cohort 3 member of EPSRC AAPS CDT.

His interest in signals and systems landed him a PhD position in 2022 focusing on ultrasonic non-destructive testing on multi-layered lithium-ion battery cells authorising continuous in-service charge and health monitoring.

In addition to his PhD, Mac Geoffrey covers a graduate teaching assistant position both in the fields of signal processing, signals, systems and communication, microprocessors and interfacing, and electromechanical design systems I and II designed for 1st and 2nd year undergraduates in the Department of Electronic and Electrical Engineering at the University of Bath.


  • My first name alone is Mac Geoffrey. When I was born my parents could not agree on the name I should be assigned. At that time, they mutually came up with two different names. Those names were Mac and Geoffrey.

Ultrasound Non-destructive Evaluation for Lithium-ion Battery Packs

Batteries vary in density as they undergo charging and discharging and recent work demonstrated that ultrasound can identify these material mechanical changes permitting the level of charge to be measured. Our research considers taking this approach and implement it to automotive batteries to maintain continuous in-service charge and structural health monitoring.

Lithium-ion battery cells are regarded as one of the key drivers to sustainability for future transportation solutions. Hence, applying charge monitoring using ultrasound will make battery cells even more interesting. Current techniques used to measure the battery state of charge (SOC) include tracking the battery voltage and currents but the method lacks efficiency and accuracy. In contrary, ultrasound allows the battery SOC to be measured directly at any time and being not charge history dependent means that errors are not carried on successive measurements. This way we will provide more accurate battery SOC readings, improve battery range estimation, and preserve its structural integrity.

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