Dr. Saurabh Saxena

About Me

Researcher. Engineer.
Educator.

I am an Assistant Professor at the Centre for Automotive Research and Tribology (CART), IIT Delhi, where I lead the Battery Analytics, Testing, Characterisation, and Health (BATCH) Lab as Principal Investigator and serve as Assistant Coordinator of the Hyundai Centre of Excellence (CoE) for Future Mobility Technology.

Prior to joining IIT Delhi, I worked as a battery algorithm engineer at Apple Inc., USA and as a postdoctoral researcher in the Applied Materials Division at Argonne National Laboratory, USA.

I received my Ph.D. degree (2020) in mechanical engineering from the University of Maryland, College Park, USA, and B.Tech. degree (2011) in electrical engineering from IIT (BHU) Varanasi, India.

At BATCH lab, we are building a research program at the intersection of batteries, reliability engineering, and machine learning to create intelligent battery systems of the future.

Hyundai CoE Coordinator
Centre of Excellence for Future Mobility Technology · IIT Delhi, Present

Battery Algorithm Engineer
Apple Inc., USA · Prior to IIT Delhi

Postdoctoral Researcher
Argonne National Laboratory, USA

Ph.D. — University of Maryland
Mechanical Engineering, 2020 · College Park, USA

B.Tech. — IIT (BHU) Varanasi
Electrical Engineering, 2011 · Varanasi, India

Research

Areas & Projects

Working at the intersection of battery science, reliability engineering, and machine learning.

Electrochemical Energy Storage Lithium-ion Batteries Battery Management System Machine Learning for PHM Accelerated Degradation Testing Physics of Failure

Ongoing

Machine Learning Algorithms for Battery Safety Diagnostics

Apr 2025 – Present

Ongoing

Development of Indian EV Drive Cycles and Battery Use Cases

Apr 2025 – Present

Ongoing

Degradation and Aging Mechanisms of Li-ion Cells in Indian Conditions

Apr 2025 – Present

Ongoing

Battery BMS Development for Two and Three-wheelers

Apr 2024 – Present

Ongoing

Battery SOC, SOP, and SOH Estimation Algorithms

Nov 2023 – Present

Completed

Cell to Pack Design and Modelling

May 2024 – June 2025

View all publications on Google Scholar

Teaching

Courses & Training

Advancing EV education through PG courses, professional certification, and industry training programmes.

PG Courses

CTL707 / 7007

Batteries for Electric Vehicles: Multidisciplinary Perspectives

CTL729 / 7029

Automotive Reliability and Life Testing with Prof. S Fatima

CTL7050

Applied Machine Learning for EV Diagnostics and Prognostics with Prof. S Fatima

CEP Professional Courses

Certificate Programme in Hybrid Electric Vehicles (HEVs) Design with Prof. Husain Kanchwala and Prof. Mandeep Rana

Industrial Training Courses(CEP)

Battery Technology For Electric Mobility Sponsored by IOCL

Automotive Operation and Future Technologies Sponsored by FADA · with CART faculty

BATCH Lab

Battery Analytics, Testing,
Characterisation & Health

State-of-the-art facilities for battery research at IIT Delhi — Room 07, 99C

Lab Facilities

16-Channel Chroma Cell Tester and Simulator (6V / 30A) 8-Channel Chroma Regenerative Pack Tester (100V / 30A) Biologic EIS Workstation 2 Programmable Temperature-Humidity Chambers (−20°C to 100°C) BMS Functionality Tester BMS HIL Test Bench Battery Sorting Machine Battery Welding Machine Battery Disassembly Analysis Tools (Central Research Facility, IIT Delhi)

Equipment & Machines

Battery Pack Regenerative Tester

Cell Tester and Emulator

BMS HIL Test Bench

Thermal Chamber

Battery Welding Machine

EIS Workstation

EIS Tester

Team (Batch Lab)

Vasudha Khubchandani

Postdoctoral Researcher

Tushar Shikhola

PhD Scholar
(with Prof. B K Panigrahi)

Rittik Das

PhD Scholar

Haseeba Maqbool

PhD Scholar

Rohit Xavier Chatterjee

PhD Scholar

Prasoon Mishra

MSR Student

Mayank Jaiswal

MSR Student
(with Prof. Deepak Kumar)

Shubham Chaudhary

M.Tech / Project Associate

Piyush

M.Tech(HVA) Student

Parul

Research Intern

Raushan Yadav

Project Associate

Open Positions

I am looking for motivated master's and PhD students to join our lab and work in the promising areas of battery management system (BMS) development, lithium-ion battery degradation analysis, battery modelling, and machine learning enabled battery health management. Please send a short email attaching your CV with subject line "Research Positions at BATCH Lab".

Send Application Email

Alumni