FME Battery PhDs and projects
PhD Candidates and Postdoctoral Fellows
Belfun Arsland, PhD Candidate

Affiliation: NTNU
Email: belfun.arsland@ntnu.no
Work Package: Diagnostics and System Integration (WP5)
Supervisor: Odne Burheim (NTNU)
Co-supervisors: Jacob Lamb (NTNU), Preben J. S. Vie (IFE) and Julia Wind (IFE)
Period: May 2025 – May 2028
Thesis title: Investigation of Reciprocal Degradation Effects between Battery System and Cell by Experimental and Numerical Methods
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The increasing use of lithium-ion batteries across different scales and applications has made understanding the degradation mechanisms that affect their aging behavior increasingly important. Conditions such as high C-rates, extreme temperatures, and high depth of discharge (DoD) lead to rapid capacity loss, increased internal resistance, and voltage stress at the cell level. In addition, differences in state of charge (SOC) and state of health (SOH) between cells, along with uneven current distribution, result in thermal imbalance and energy losses at the system level. These stress factors further accelerate cell degradation, leading to the development of a reciprocal degradation cycle. This PhD project aims to investigate the interconnection between system and cell degradation by experimental and numerical methods, contributing to the development of stable, safe, and high-performance battery systems under real operating conditions.
Mikael Dahl Kanedal, PhD Candidate

Affiliation: NTNU
Email: mikael.d.kanedal@ntnu.no
Work Package: Materials and Chemistry (WP3)
Supervisor: Daniel Rettenwander (NTNU)
Co-supervisors: Julian Walker
Period: August 2024 – August 2027
Thesis title: Enabling Thick Na-S Cathode via Gradient Charge Carrier Pathways and Hydroborate Solid Electrolyte
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Sina Orangi, Postdoctoral Fellow
Affiliation: NTNU
Email: sina.orangi@ntnu.no
Work Package: Sustainibility (WP1)
Supervisor: Anders Hammer Strømman
Period: 15.01.2025 - 15.01.2029
Thesis title:
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This work focuses on sustainability by developing high-resolution environmental assessments of the lithium-ion battery value chain. Using bottom-up and process-based modeling, the project analyzes key stages: upstream processes like mining and material refining, battery production in giga-factories, and downstream steps such as second-life applications and recycling. While the main goal is to understand environmental impacts, the work also includes techno-economic analysis to evaluate costs and performance using the same detailed modeling approach in order to build an integrated assessment model that covers both current and next-generation battery chemistries. This model will provide valuable insights for making more sustainable technology and policy decisions. In addition, the project supports collaboration across other work packages within the center, helping to create a more complete picture of battery systems and their role in a clean energy future for Norway.
Svenas Burba, PhD Candidate

Affiliation: UiA
Email: burba.svenas@uia.no
Work package: Digitalization (WP6)
Supervisor: Williams A. Appiah (UiA)
Co-supervisors: Johannes M. Landesfeind (UiA), Kristian F. K. Thorbjørnsen (Corvus Energy), Eibar Joel Flores Cedeño (SINTEF)
Period: September 2025 - September 2028
Thesis title: Towards Battery Digitalization: An Autonomous Framework for Parametrization of Electrochemical Models
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Electrochemical model parametrization is a big challenge in accelerating battery digitalization. This PhD project aims to accelerate battery digitalization process by developing an autonomous electrochemical model parameter estimation framework. By splitting the complete electrochemical model into processes such as open circuit voltage, kinetic and transport. It allows us to create simplified electrochemical models capturing parameters relevant to the process group. Using optimization, simplified models and non-invasive experimental data from the cells makes it possible to extract electrochemical model parameter sets for various cells. The estimation process aims to be fully autonomous, except for experiment data acquisition. As a final product, giving a reproducible electrochemical parameter estimation process and introducing standardization in experimental workflows because of data generation for automated processing.
Kaan Kizmaz, PhD Candidate

Name: Kaan Kizmaz
Email: kaan.kizmaz@uis.no
Work package: Diagnostics and System Integration (WP5)
Supervisor: Jelena Popovic-Neuber
Period: April 2025 - April 2028
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Ivan Fernandez, PhD Candidate

Affiliation: NTNU
Email: ivan.fernandez@ntnu.no
Work Package: Digitalisation (WP6)
Supervisor: Jacob J. Lamb (NTNU)
Co-supervisors: Odne S. Burheim (NTNU), Jan Petter Mæhlen (IFE), Preben J. S. Vie (IFE) and Julia Wind (IFE)
Period: March 2025 – March 2028
Thesis title: Development of battery digitalisation methods for parameter identification
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This PhD project, conducted in collaboration between NTNU and IFE, aims to advance battery research through the accurate estimation of key internal parameters, such as state of charge (SOC), state of health (SOH), thermal behavior, and aging, which are often difficult to measure directly. The scope of the project extends beyond these parameters, encompassing additional relevant indicators of battery performance and degradation to provide a more comprehensive understanding. By combining physics-based models with data-driven approaches, the research will develop a hybrid framework for reliable parameter estimation. Simulated, experimental, and real-world operational data will be used to train and validate machine learning methods, with a strong focus on assessing their performance across various modeling scenarios.
Ruddy Medina, PhD Candidate

Name: Ruddy Medina
Email: ruddy.f.m.choque@ntnu.no
Work package: Processing & recycling
Supervisor: Sulalit Bandyopadhyay (NTNU)
Co-supervisors: Hanna Knuutila (NTNU), Erik Prasetyo (NTNU), For confirmation (Hydrovolt)
Period: June 2025 - June 2028
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