Disputation: Clara Bertinelli Salucci

Doctoral candidate Clara Bertinelli Salucci at the Department of Mathematics will be defending the thesis Advancing data-driven diagnostics and prognostics for lithium-ion batteries: A focus on model interpretability and accuracy for the degree of Philosophiae Doctor.

picture of the candidate

Doctoral candidate Clara Bertinelli Salucci.

The PhD defence will be in Abels utsikt - Niels Henrik Abels hus. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.

Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence.

Trial lecture

19th of April, time: 10:15 am, room 1259 (Abels utsikt).

Ensemble methods in statistics and machine learning

Main research findings 

Machine Learning techniques are transforming industries, yet their opaque decision-making poses challenges, especially in safety-critical applications like lithium-ion (Li-ion) batteries. Li-ion batteries are pivotal in driving sustainable transportation but are also associated with hazards, as seen in incidents such as explosions leading to particularly intense fire. Traditional testing methods for battery health are costly and disruptive. My research addresses this issue by integrating data-driven methodologies within the Battery Management Systems (BMS). These algorithms, utilising sensor data, offer an efficient monitoring of battery health and remaining life, enabling both diagnostics and prognostics. By achieving a delicate balance between interpretability and prediction accuracy, they may enhance battery performance and durability while mitigating risks associated with degradation. Moreover, the methodologies developed in this research hold promise for broader applications beyond battery diagnostics, including fields like biostatistics. By bridging the gap between interpretability and prediction accuracy, these methods offer versatile solutions for addressing complex data challenges across various domains.

Adjudication committee

  • Professor Emeritus Bo Henry Lindquist, Norges teknisk-naturvitenskpelig universitet 
  • Professor Sören Ehlers, Hamburg University of Technology
  • Associate Professor Thordis Thorarinsdottir, University of Oslo

Supervisors

Chair of defence

Head of Department Geir Dahl.

Host of the session

Associate Professor Thordis Thorarinsdottir, University of Oslo

 

Organizer

Department of Mathematics
Published Apr. 5, 2024 4:43 PM - Last modified Apr. 24, 2024 9:59 AM