Ing. Revathy Shankar

writes the final thesis.

Angestellt, Werkstudent - Battery Aging and Cell Characterization, Mercedes-Benz Group

Ludwigsburg, Deutschland

Über mich

A Graduate Student at the University of Stuttgart is pursuing M.Sc. Electrical Engineering with an interest in Battery Development, Simulation, and Testing. I have done my Internship in Cell simulation at Mahle GmbH. I am currently working as a working student in Battery Development at Mercedes-Benz AG. As a dedicated student in the field of Lithium-ion battery characterization and battery aging, I am committed to advancing energy storage technologies. My expertise lies in meticulously characterizing Lithium-ion batteries to understand their performance, reliability, and longevity by delving deep into electrochemical processes, and aging mechanisms. My passion for research and innovation is driven by the pursuit of sustainable energy solutions that are durable and efficient. I am excited to contribute to the forefront of battery technology and its pivotal role in shaping a greener and more sustainable future.

Fähigkeiten und Kenntnisse

Batemo
MatLab/Simulink
Lithium Ion Battery
Electrochemistry
Python
Microsoft Excel
PowerPoint
Project Management
Electrical Engineering
Battery Simulation
Lithium-ion Battery
impedance.py
PybaMM
NumPy
Energy technology
Solid state Batteries
Electrochemical Characterization
Li-ion cell Simulation
Cathode Material
Anode Materials
Battery Packs
Battery Aging
Kalmann Filter Algorithms
P2D Model
Electrochemical Impedance Spectroscopy
EIS
GITT
48V Battery
High Voltage Batteries

Werdegang

Berufserfahrung von Revathy Shankar

  • Bis heute 2 Monate, Apr. 2024 - Sep. 2024

    Master Thesis

    Universität Stuttgart

    Electrochemical comparative study of pristine and recycled cathode material for Li-ion Batteries.

  • Bis heute 5 Monate, Jan. 2024 - Sep. 2024

    Werkstudent - Battery Aging and Cell Characterization

    Mercedes-Benz Group

    - Online parametrization of different ECM of 48V Li-ion battery. - Optimization of SOC and SOH algorithms for enhancing real-time monitoring capabilities. - Parameter fitting using EIS measurement data. - Validation of battery models and state estimation algorithms against experimental data, ensuring high accuracy and reliability in predicting battery behavior.

  • 6 Monate, Juni 2023 - Nov. 2023

    Li-Battery Simulation

    MAHLE GmbH

    - 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

  • 7 Monate, Nov. 2022 - Mai 2023

    Study of Physical models (P2D) of aging mechanisms in Li-ion cells

    Universität Stuttgart

    - 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.

Ausbildung von Revathy Shankar

  • 4 Jahre, Juni 2010 - Mai 2014

    Electrical and Electronics Engineering

    Anna University

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

  • 2 Jahre, Juni 2008 - Mai 2010

    Higher Secondary School

    Singarampillai Higher Secondary School

    Computer science, Mathematics, Physics, Chemistry

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

Interessen

Kochen
Photography
Jogging

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