Publications (14)
An Algorithmic Safety VEST For Li-ion Batteries During Fast Charging
Peyman Mohtat, Sravan Pannala, Valentin Sulzer +2
Fast charging of lithium-ion batteries is crucial to increase desirability for consumers and hence accelerate the adoption of electric vehicles. A major barrier to shorter charge t…
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations
Kirill Zubov, Zoe McCarthy, Yingbo Ma +11
Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical…
Faster Lead-Acid Battery Simulations from Porous-Electrode Theory: II. Asymptotic Analysis
Valentin Sulzer, S. Jon Chapman, Colin P. Please +2
Electrochemical and equivalent-circuit modelling are the two most popular approaches to battery simulation, but the former is computationally expensive and the latter provides limi…
Faster Lead-Acid Battery Simulations from Porous-Electrode Theory: I. Physical Model
Valentin Sulzer, S. Jon Chapman, Colin P. Please +2
An isothermal porous-electrode model of a discharging lead-acid battery is presented, which includes an extension of concentrated-solution theory that accounts for excluded-volume…
"Knees" in lithium-ion battery aging trajectories
Peter M. Attia, Alexander Bills, Ferran Brosa Planella +14
Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear degradation that severely limits battery lifetime. In this work, we review prior work on "knees" in…
A Continuum of Physics-Based Lithium-Ion Battery Models Reviewed
Ferran Brosa Planella, Weilong Ai, Adam M. Boyce +13
Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their d…