Dr. Ganesh Madabattula
Battery Technolgy Lab
Our group focuses on developing models/software tools for prediction of state-of-charge (SoC), state-of-health (SoH) and anomaly detection in lithium-ion batteries. Our models include electrochemical mechanisms inside batteries and strive to achieve balance between fast-charging, longer life and safety based on cell design and chemistry and needs of the applications. Our battery tools maintain balance between accuracy and speed, and they are created for battery cell design optimisation, electric mobility and stationary storage. Our group also focuses on developing models for supercapacitors, hybrid capacitors, sodium-ion batteries and solid-state batteries. We are interested in everything about batteries and their applications. We actively lookout for collaborations from industries and academia. Please reach out to us for more details: ganesh.che@iitbhu.ac.in.
Research Interests:
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Lithium-ion batteries (NMC, LFP) and other batteries (Na, Solid-State), Supercapacitors, Hybrid Capacitors,
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Development of tools for battery performance, fast-charging, lifetime, and safety (thermal runway),
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Physics-based models, reduced order models, network models for batteries,
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Entrepreneurship in battery technology,
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Development of battery intelligence monitoring software and battery management system.
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Battery cell design and optimisation.
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Second life batteries
Dr. Ganesh Madabattula
Qualifications:
Ph.D. Indian Institute of Science, Bangalore
M.E. Indian Institute of Science, Bangalore
B.Tech. Gayatri Vidya Parishad College of Engineering, Visakhapatnam
Experience:
Assistant Professor, Indian Institute of Technology (BHU) Varanasi, India, Dec 2023 - To present.
Senior Cell Modelling Engineer, Rimac Technology R&D UK Ltd., United Kingdom, Oct 2022 - Dec 2023.
Battery Modelling and Simulation Engineer, Britishvolt, United Kingdom, Oct 2021 - Oct 2022.
Research Associate, Imperial College London, United Kingdom, Apr 2018 - Sep 2021.
Ganesh Madabattula - Google Scholar
- Simon O’Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, Monica Marinescu, 2022 “Lithium-ion battery degradation: how to model it”, Physical Chemistry Chemical Physics.
- Ganesh Madabattula and Sanjeev Kumar, 2020, “Model and Measurement Based Insights into Double Layer Capacitors: Voltage-Dependent Capacitance and Low Ionic Conductivity in Pores”, Journal of the Electrochemical Society ,Vol 167, 080535.
- Ganesh Madabattula, Billy Wu, Monica Marinescu and Gregory Offer, 2020, “Degradation Diagnostics for Li4Ti5O12-Based Lithium Ion Capacitors: Insights from a Physics-Based Model”, Journal of the Electrochemical Society, Vol 167, 043503.
- Ganesh Madabattula, Billy Wu, Monica Marinescu and Gregory Offer, 2020, “How to design Lithium Ion Capacitors: Modelling, Mass Ratio of Electrodes and Pre-lithiation”, Journal of the Electrochemical Society, Vol 167, 013527.
- Ganesh Madabattula and Sanjeev Kumar, 2018, “Insights into Charge-Redistribution in Double Layer Capacitors”, Journal of the Electrochemical Society, Vol 165, A636-A649.
| Name - PhD | Research topic | Status |
|---|---|---|
| Uddipta Sarma | Modelling of Battery Recycling Process to Enhance Recovery of Precious Metals | 2024-Current |
| Name - M.Tech. | Research topic | Status |
|---|---|---|
|
MD Mustakim Ansari |
Modelling of Thermal Runaway in Lithium-Ion Cells using Electrochemical-thermal models | Current |
| Malika Singh | Cost optimisation for Battery Energy Storage Systems | Current |
| Mahesh Sunil Jawale | Modelling of Degradation in Lithium-Ion/Sodium Ion Batteries | Current |
| Anmol Sharma | Coursework | |
|
Vakacharla Suryavamsi |
Coursework |
| Name - Alumni | Research topic | Graduated |
|---|---|---|
| Shubham Arote | Desing of 18650 Sodium-Ion Battery using physics-based models | M.Tech. 2025 |
| Vinit Patil | Life cycle assessment of lithium ion battery manufacturing in India |
M.Tech. 2025 |
| Satyabrata Panda | Modelling thermal runaway in lithium-ion batteries. |
M.Tech. 2025 |
| Year | Name - UG | Details |
|---|---|---|
| 2025 | Vaibhav Srivastava, Vaibhav, Sparsh gupta, Samarth Jain, Shobhit Gupta, Lipika Priya, Sparsh Jain | |
| 2024 |
Rudransh Shishodia, Suryam Shaurya, Tanmay Gawande, Harshvardhan Sharma, Rohit Ujjwal Chakraborty, Utkarsh Sharma Ayush Saran, Sujal Sahu, Mehul Jain, Chilluri Venkata Sri Sai Varshini, Kumar Muravath, Rathlavath Shiva Kumar, Sandeep Krishna Charugundla |
| Year | Name - Interns | Details |
|---|---|---|
| 2024 |
Hanumanthu Lakshman (ANITS Vizag), Pranjal Panday (DDUGU, Institute of Technology, Gorakhpur), Suneel Prajapati (DDUGU, Institute of Technology, Gorakhpur) |
|
Follow LinkedIn updates for latest opportunities.
Our lab is actively looking for PhD students, MTech students, and Postdocs. Please reach out to Ganesh with your CV and research statement/statement-of-purpose to develop exciting battery tech tools, at ganesh.che@iitbhu.ac.in. We are eager to support students with research and entrepreneurial thoughts in battery space.
Skills we are looking forward to:
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You don’t need to have all the skills.
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Lithium-ion batteries, electrochemical engineering, modelling of batteries, battery pack design.
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COMSOL, PyBaMM, Siemens Battery Design Studio, GT Autolion, OpenFOAM, and Ansys for batteries.
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MATLAB, Python and C++ programming, object-oriented programming, Git and Github.
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Collaborative and entrepreneurial spirit, technical writing, and communication skills.
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Control algorithms, battery management system
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Data analytics and ML for batteries, and deployment of apps on cloud.
At our research lab, we are committed to fostering an inclusive environment where all individuals, regardless of race, gender, caste, ethnicity, orientation or abilities, feel valued and empowered. We harness the power of varied insights, together, to drive innovation and excellence in our scientific pursuits.
Interns: No funded intern positions are available. Apply to us if you are fine with managing your expenses during the internship.
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PhD Position (1): Unlocking the Second Life of Lithium-ion Batteries using Lifetime Prediction Models.
Research Focus:
- Develop lifetime/degradation models for lithium-ion batteries.
- Predict remaining useful life of batteries through advanced modelling techniques.
- Calculate net asset value of used batteries.
- Collaborate with interdisciplinary teams to optimize battery repurposing strategies.
- Communicate research findings effectively through reports and presentations.
- Contribute to the entrepreneurial spirit of the team by exploring innovative solutions.
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PhD position (2): Physics-Based Battery Management Software for Improved Performance, Lifetime and Safety
Collaboration: with Prof. Sandip Ghosh from Electrical Engineering, need to be applied at Electrical Engineering
Overview:
- Collaborative effort between the Departments of Chemical Engineering, and Electrical Engineering.
- Engage in groundbreaking research at the forefront of battery technology.
- Gain expertise in electrochemical processes, electrical systems, and programming
- Opportunity to collaborate with relevant industries/start-ups
- Entrepreneurship focused. Students with entrepreneurial thoughts strongly encouraged to apply.
Research Focus:
- Develop models for battery SoC, SoH, SoP, safety and performance prediction.
- Implement advanced algorithms for real-time battery management and optimization.
- Investigate designs for enhancing battery efficiency and lifespan.
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PhD Position (3): Preventing Battery Fires in High Energy-Dense Battery Packs for E-Mobility
Collaboration: with Dr. Anubhav Sinha from Mechanical Engineering
Overview:
- Collaborative effort between the Departments of Chemical Engineering and Mechanical Engineering.
- Engage in groundbreaking research at the forefront of battery technology.
- Gain expertise in electrochemical models, battery fires, and computational fluid dynamics
- Opportunity to collaborate with relevant industries/start-ups
- Entrepreneurship focused. Students with entrepreneurial thoughts are strongly encouraged to apply.
Research Focus:
- Investigate the mechanisms behind battery fires in high energy-dense battery packs.
- Integrate cell level thermal behaviour with pack level and design fireproof battery packs.
- Develop advanced computational models using computational fluid dynamics (CFD) to simulate battery thermal runaway scenarios.
- Develop strategies to detect and prevent thermal runaway
- Explore novel materials and design strategies to improve battery pack safety and reliability.
- Conduct experimental analyses to validate theoretical models and test proposed solutions.
- Collaborate with industry partners to integrate research findings into real-world applications.
2024, 2025: CHE101- Chemical Engineering Practices
2024: Energy Resources Lab
2024: CHO301- Chemical Technology
2025: CHE432- Electrochemical Engineering
We actively lookout for opportunities to collaborate with industries and academic institutions in battery space. Please reach out to Ganesh for further discussion at ganesh.che@iitbhu.ac.in or on his LinkedIn page. Please feel free to network with us even there are no immediate opportunities to work together.