Date: January 22, 2026
Time: 03:00 PM
Location: EE Reading Room and online via zoom

Speaker: Ayesha Khan
Supervisor: Dr. Ijaz Haider Naqvi

Join Zoom Meeting: Join Zoom Meeting https://lums-edu-pk.zoom.us/j/92620596965?pwd=aaqL6hTrHfRdQ4hhA2GWNH5XHt0GS0.1 Global climate change has prompted policies to reduce greenhouse gas emissions, with transportation electrification offering a pathway to lower noise and pollutant levels and improve urban quality of life. As electric mobility expands, lithium-ion batteries (LIBs) remain central to sustainable transportation. However, their high cost and gradual capacity degradation continue to limit the large-scale adoption of battery electric vehicles (BEVs), especially in regions with diverse terrains where frequent battery replacement reduces long-term viability. Minimizing degradation and extending battery pack lifespan is therefore a critical challenge. This research investigates strategies to improve what we refer to as battery pack hygiene—a structured set of operational and diagnostic practices aimed at slowing degradation and sustaining battery performance over time. A key focus is on managing the state of charge (SoC) in BEVs and understanding how different driving profiles influence battery health. Real-world driving patterns impose varying electrochemical and thermal stresses, and this study develops a modeling framework to examine how SoC policies shape degradation behavior across diverse profiles. The thesis examines the topic from multiple angles, including region-specific driving behavior and the impact of different charging levels on battery health degradation. The work also analyzes the trade-offs among performance metrics such as degradation rate, driving range, charging duration, and aging cost, identifying operational regimes that achieve a practical balance across competing objectives. This thesis also highlights the influence of cycling policies—particularly charging rate—on degradation mechanisms and their correlation with capacity fade. While ICA/DVA and EIS provide complementary insights into capacity loss and impedance growth, further refinement is needed to improve their quantitative accuracy. To support the simulation-based analysis, publicly available aging datasets from the Stanford Energy Control Laboratory are used, where cells were cycled under the UDDS profile at C/2 and 3C charging rates. A mechanistic diagnostic approach combining Incremental Capacity/Differential Voltage (ICA/DVA) and Electrochemical Impedance Spectroscopy (EIS) is applied to quantify three key degradation modes: loss of lithium inventory (LLI), loss of active material (LAM), and loss of conductivity (LC). Together, these contributions define a structured approach to Battery Pack Hygiene, supporting the development of electric vehicles whose batteries degrade more slowly, operate more efficiently, and remain economically viable over longer lifetimes.

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