Shrey Verma
Joint Degree PhD student
Indian Institute of Technology Kanpur, India &
La Trobe University, Melbourne, Victoria, Australia
Joint Degree PhD student
Indian Institute of Technology Kanpur, India &
La Trobe University, Melbourne, Victoria, Australia
Research Interest
Electric Vehicle, Power System, Digital Twin, Life Cycle Analysis, Smart Grid, Renewable Energy Resources
Research
LLife Cycle Assessment of Greenhouse Gas Emissions of Electric and Combustion Vehicles
Over the last decades, electric vehicles (EVs) have emerged as an alternative to combustion engine vehicles. EVs have different propulsion and fuel intake system when compared to combustion engine vehicles. Therefore, cradle-to-gate (CTG) and well-to-wheel (WTW) greenhouse gas emissions (GHGs) would be different. In this study, life cycle GHG emissions of vehicle cycle and fuel cycle are compared between EV and internal combustion engine (ICEV) powered by petrol and diesel as fuel. This study used the average curb weight of all three types of vehicles based on the availability and popularity in the Indian market (as a case study) for life cycle assessment. The Greenhouse Gases, Regulated Emissions, and Energy use in Transport (GREET) model developed by Argonne National Laboratory was adopted to conduct the life cycle assessment. (M.Tech thesis 2021)
Emulating Real-World EV Charging Profiles with a Real-Time Simulation Environment
Electric vehicle (EV) charging is critical for grid integration and intelligent charging strategy development, but the variability of charging behavior and limited high-resolution data pose major challenges. This study presents a real-time simulation framework to emulate real-world EV charging using a physics-based charger model on the Typhoon HIL platform. The model captures detailed electrical dynamics and control logic, with outputs—active power and SOC evolution—validated against PMU field data. Results show strong alignment across charging phases, including SOC-dependent transitions, with an MAE of 0.14 and RMSE of 0.36. Practical BMS behavior, such as charging termination near 97% SOC, is also reflected. The framework offers a high-fidelity tool for grid impact analysis, smart charging control, and digital twin development for future EV systems.
Education
2021 - ongoing 🎓 PhD Joint degree from Indian Institute of Technology (IIT) Kanpur, India & La Trobe University, Australia.
Thesis title: Electric Vehicle Integration into the Smart Distribution System Using Digital Twin.
2019 – 2021 🎓 M.Tech in Green Technology from Maulana Azad National Institute of Technology (MANIT), Bhopal, India.
Thesis title: Life Cycle Greenhouse Gas Emissions Analysis of Electric and Conventional Vehicles in India.
2013 – 2017 🎓 B.Tech in Electrical and Electronics Engineering from SRMCEM, Lucknow, India.
Thesis title: Smart Energy Meter.
Supervisors
Senior Environmental Officer at DWER Western Australia
Perth, Western Australia, Australia