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Venkatasailanathan Ramadesigan

Researcher at Indian Institute of Technology Bombay

Publications -  59
Citations -  2417

Venkatasailanathan Ramadesigan is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Battery (electricity) & Lithium. The author has an hindex of 19, co-authored 55 publications receiving 1893 citations. Previous affiliations of Venkatasailanathan Ramadesigan include Tennessee Technological University & Washington University in St. Louis.

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Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective

TL;DR: In this paper, a review of the modeling and simulation of lithium-ion batteries and their use in the design of better batteries is presented and likely future directions in battery modeling and design including promising research opportunities are outlined.
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Mathematical Model Reformulation for Lithium-Ion Battery Simulations: Galvanostatic Boundary Conditions

TL;DR: In this paper, the authors presented an effective first step in the mathematical reformulation of physics-based lithium-ion battery models to improve computational efficiency, using an isothermal pseudo-two-dimensional model with volume-averaged equations for the solid phase and incorporating concentrated solution theory, porous electrode theory, and with due consideration to the variations in electronic/ionic conductivities and diffusivities.
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Coordinate Transformation, Orthogonal Collocation, Model Reformulation and Simulation of Electrochemical-Thermal Behavior of Lithium-Ion Battery Stacks

TL;DR: A simple transformation of coordinates is proposed that facilitates the efficient simulation of the non-isothermal lithium-ion pseudo 2-D battery model and is used to simulate operation of an 8-cell battery stack subject to varying heat transfer coefficients as well as specified temperature boundary conditions.
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Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models

TL;DR: In this article, the authors used a mathematical reformulation of a porous electrode model, whose computational efficiency enables the integration of the proposed approach into an inexpensive microprocessor for estimating the remaining lifetime of a battery based on past charge-discharge curves.
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Efficient Reformulation of Solid-Phase Diffusion in Physics-Based Lithium-Ion Battery Models

TL;DR: In this article, an eigenfunction based Galerkin collocation and a mixed order finite difference method for approximating/representing solid-phase concentration variations within the active materials of porous electrodes for a pseudo-two-dimensional model for lithium-ion batteries are presented.