NAMRATA MOHANTY

Reliability and safety impact assessment considering battery swapping in electric vehicles

• Accurate state of charge estimation of lithium-ion batteries
• Thermal runaway and safety hazard assessment of lithium-ion batteries
• Battery degradation and state of health estimation of lithium-ion batteries
• Life cycle cost model for economic evaluation offering battery as a service

Affiliation: IIT Kharagpur

Mentors: Prof. Neeraj Kumar Goyal ( Supervisor) and V N Achutha Naikan ( Joint Supervisor)

• Study on laser welding of Nitinol wires with similar and dissimilar materials (Masters)
• Fabrication and analysis of solar powered efficycle (Bachelors)

• RE69006 - Probability Demonstration Lab
• RE60011 - Probability Risk Assessment

• Software: Python, MATLAB and Simulink, MINITAB, ANSYS, AutoCAD, CATIA, CNC Programming, MS Excel and MS Word

• Among 100 meritorious students in 2021 and awarded by the former Education Minister of India
• Invited by Honorable PM to witness Republic Day function at PM Box, India
• Awarded with Prime Minister Scholarship for defense wards (2013-2017)
• Winner of online national-level PPT competition of "EV Adoption by Decibels Lab" in 2021
• Gold Medalist in VSSUT, Burla, for outstanding performance in Masters
• Gold Medalist in CIPET for outstanding performance in Bachelors

• Invited as a speaker at LRVS, Singapore, to deliver a lecture on "Beyond the road: A holistic approach to reliability and safety assessment of electric vehicles"
• Participated and delivered a lecture in "Brainstorming Workshop on Technology Vision 2047 & Climate Change" in 2023
• Student delegate in 3rd World Hydrogen Summit 2023 held at Parliament Street, New Delhi, India
• Student Coordinator in "RAMS for Railways" conducted by IIT Kharagpur for the year 2020-2024
• Student Coordinator in "Training on Reliability Engineering to Engineers of Whirlpool Corporation", conducted by IIT Kharagpur in 2021
• FMEA Specialist Certification course

Accepted and Published :

• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2023). Effect of training algorithms in accurate state of charge estimation of lithium-ion batteries using NARX model. International Journal of Heavy Vehicle Systems, 30(2), 232–254. https://doi.org/10.1504/IJHVS.2023.132335
• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2024). Improved Electric Vehicle Battery State of Health Estimation Using Hybrid Machine Learning Models. 22ndISME International Conference on Recent Advances in Mechanical Engineering for Sustainable Development (ISME 2024), New Delhi, India
• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2024). Risk Analysis of Battery Charging Approaches in Electric Vehicles: A Comparative Safety Assessment. 34th European Safety and Reliability Conference (ESREL 2024), Cracow, Poland. Advances in Reliability, Safety and Security. Part 10- Polish Safety and Reliability Association, Gdynia, ISBN 978-83-68136-09-8
• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2024). Advanced Knee Point Detection and Health Monitoring Technique for Improved Electric Vehicle Battery Safety. International Conference on Safety, Health and Analytics-Driven Governance for Sustainable Development (SHADG 2024), IIT Kharagpur, India
• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2024). Effect of Algorithms in Accurate Knee Point Prediction of Lithium-ion Batteries in Electric Vehicles. 4th IEEE International Conference on Sustainable Energy and Future Transportation 2024 (IEEE SeFeT 2024), Hyderabad, India

Under Review:

• Mohanty, N., Goyal, N. K., & Naikan, V. N. A. (2023). A Comparative Analysis of Operational Planning for Battery Swapping and Fast Charging in Electric Vehicles. Life Cycle Reliability and Safety Engineering