Born and educated in Germany, Eymen pursued an academic and professional journey in the realm of automotive engineering. Specializing in powertrain and chassis development he had the privilege of studying in cooperation with Volkswagen in Wolfsburg.
During this collaboration he also attained a degree in construction engineering with a specialization in fine sheet metals. Subsequently, Eymen joined the requirements and test management team for the electrical control unit in the research and development department at VW. Operating within a systems engineering environment he gained extensive experience in agile methodologies, especially the Scrum framework.
With a deep interest in systems engineering, Eymen made a contribution to the field by writing his thesis that delved into the evaluation and application of the new systems modeling language SysML v2.
Embodying the T-shaped approach, Eymen is eager to further deepen his knowledge in automotive engineering at AAPS CDT and looks forward to collaborating with other members of AAPS CDT, sharing knowledge across diverse areas and disciplines.
Most of today’s devices and electric vehicles rely on lithium-ion batteries due to their balanced performance and cost. However, they come with critical safety concerns: lithium-based compounds, which store substantial energy in a compact form, are prone to overheating and even explosion under certain conditions, such as physical impact, rapid temperature change, or exposure to air. Furthermore, lithium mining and production are inefficient, adding environmental challenges.
This has sparked a demand for next-generation batteries using alternative materials to improve safety, efficiency, and sustainability. Although various experimental designs for new batteries exist, research often stops at initial testing, with limited investigation into their underlying chemical behaviours. This lack of insight hampers our ability to predict performance and manage risks effectively.
Eymen's PhD research aims to address these gaps through mathematical modelling, beginning with a thorough review of existing battery models, emerging battery chemistries, and key safety and performance factors. I’ll then develop a mathematical model specifically for next-gen battery cells, embedding it in COMSOL and other tools to simulate their chemical and thermal behaviours. By applying this model to real-world scenarios, such as electric vehicles or drones, I will conduct performance analyses to assess potential risks, such as thermal propagation and overpressure from chemical reactions. The final stage will involve validating these models through experimental data, enabling us to reduce the need for extensive physical testing and propose effective safety measures for future battery designs.
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