M.A.P.L.E. Lab

High energy and power batteries are critical for the next generation of clean energy grid and transportation technologies

• They store energy from renewables like Solar and Wind then make it available later when needed.
• Batteries can dispatch energy in a blink, so they let the grid and transportation operate at maximum efficiency.

 Professor Subramanian’s model and software will make next generation batteries

• Safer
• Have higher energy storage capacity
• Recharge faster
• Last longer

Professor Venkat R. Subramanian received his B.Tech. degree in chemical and electrochemical engineering from the Central Electrochemical Research Institute (CECRI), Karaikudi, India, in 1997 and his Ph.D. degree in chemical engineering from the University of South Carolina, Columbia, SC, USA, in 2001. Professor Subramanian is an elected ECS Fellow, is a past elected chair of IEEE division of the Electrochemical Society. He is also a past elected technical editor of the Electrochemical Society. He is also a past elected chair of Area 1e: (Electrochemical Engineering) of the AIChE.

His group aims to be the world’s leading group in the area of model-based Battery Management System (BMS) and model-based design of current and next-generation energy storage devices. His group has made contributions to the fundamental science of capacity fade (KMC simulation of SEI).

• His group has the fastest code reported in the literature for battery models. He has IP on the most robust solver for battery models. His group has demonstrated 2x improvement in the life of 18Ah cells using model based charging profiles.
• His group has the ability to model phenomenon at different time & length scales, and chemistries (LiM, LiS).

Selected Publications

1. V. Ramadesigan, P. W. C. Northrop, S. De, S. Santhanagopalan, R. D. Braatz, and V. R. Subramanian, “Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective,” J. Electrochem. Soc., 159(3), R31-R45 (2012).
2. M. Pathak, M. D. Murbach, C. Pathak, T. Jang, Y. Qi, D. T. Schwartz, and V. R. Subramanian, "Fast Impedance Simulation of Lithium-Ion Batteries with Pseudo-Two Dimensional Electrochemical Models". J. Electrochem. Soc, 165(7) A1324-A1337 (2018).
3. N. Dawson-Elli, S. B. Lee, M. Pathak, K. Mitra, and V. R. Subramanian, "Data Science Approaches for Electrochemical Engineers: An Introduction through Surrogate Model Development for Lithium-Ion Batteries". J. Electrochem. Soc, 165(2) A1-A15 (2018).
4. Y. Qi, T. Jang, V. Ramadesigan, D. T. Schwartz, and V. R. Subramanian, “Is There a Benefit in Employing Graded Electrodes for Lithium-Ion Batteries?”, J. Electrochem. Soc, 164 (13) A3196-A3207 (2017).
5. B. Suthar, V. Ramadesigan, S. De, R. D. Braatz and V. R. Subramanian, "Optimal Charging Profiles for Mechanically Constrained Lithium-ion Batteries," Phy.Chem.Chem. Phy., 16(1), 277-287 (2014).
6. M. Lawder, B. Suthar, P.W.C. Northrop, S. De, M. Hoff, O. Leitermann, M. L. Crow, S. Santhanagopalan and Venkat R. Subramanian, "Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-scale applications", Proceedings of IEEE, 102(6), 1014-1030 (2014).
7. P. W. C. Northrop, V. Ramadesigan, S. De, and V. R. Subramanian, “Coordinate Transformation, Orthogonal Collocation and Model Reformulation for Simulating Electrochemical-Thermal Behavior of Lithium-ion Battery Stacks,” J. Electrochem. Soc., 158(12), A1461-A1477 (2011).
8. M. T. Lawder, V. Ramadesigan, B. Suthar and V. R. Subramanian, "Extending explicit and linearly implicit ODE solvers for index-1 DAEs", Computers and Chemical Engineering, 82, 283-292 (2015).
9. Patent US20140136169 - Systems and methods for improving battery performance (2018).
10. R. E. White, and V. R. Subramanian, “Computational Methods in Chemical Engineering with Maple,” Springer Verlag, ISBN: 978-3-642-04310-9, Springer (2010).