Ing. Revathy Shankar

- Online parametrization of different ECM of 48V Li-ion batteries in PHEVs. - Parameter identification based on EIS experimental data under varying SOC and temperature conditions. - Development and Validation of aging diagnostic models using an existing Kalman filter algorithm. - Optimized SOC and SOH algorithms to improve battery health assessment accuracy.

TITLE: Electrochemical comparative study of pristine and recycled cathode material • Electrochemical characterization of Li-ion cell using EIS and GITT measurements. • Preparation of coin cell/EL-Cell (Half-cell) for experimental testing. • Experience in glove box and cell tester equipment, material handling, lab organization and material analyzation techniques. • Development of an Optimization Algorithm in P2D model and an Equivalent Circuit Model (ECM).

- Electrical and thermal 0D-simulation of cells, cell modules, and battery packs. - Evaluation and interpretation of simulation results, comparison to cell tests - Cell characterization and analysis of resistance behavior of different cell types - Analysis of aging mechanisms and Differential Voltage Analysis - Research on fast charging profiles and state-of-the-art BEVs and support on cell test definition on Fast Charging - Measurement evaluation of different cell tests with a focus on internal resistance

- Literature review and investigations on aging degradations of Li-ion batteries using P2D models. - Analyzed the key factors contributing to aging, with a particular emphasis on SEI formation and Lithium Plating. - Understanding of comprehensive relationships between SEI formation, Lithium Plating, and the decline in battery performance. - Understanding of Anode porosity drop due to SEI growth and Nonlinear aging due to the exponential increase of the Li-Plating rate.

M.Sc.

Microprocessor and Controller, Control systems, Object Oriented Programming, Digital signal processing

Computer science, Mathematics, Physics, Chemistry