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Next Gen Battery Simulation

JuliaSim Batteries is an advanced engineering tool for simulating lithium-ion batteries, integrating electrochemical, thermal, and degradation physics.
JuliaSim Batteries - High Performance Electrochemical Lithium-Ion Battery Simulations

High Performance Electrochemical Lithium-Ion Battery Simulations

Accurate battery models contain several coupled partial differential equations (PDEs) that are challenging to solve efficiently and robustly. JuliaSim Batteries brings your workflow to the next level with state-of-the-art differential equation solvers integrated with Scientific Machine Learning (SciML). Utilize the Doyle-Fuller-Newman model with 300 differential equations to predict battery lifetimes with fast charging 150,000x faster than real-time. Scale your battery pack from a single cell to thousands of connected cells. Seamlessly compare and contrast battery chemistries to find the right battery for your usecase.

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Pack Modeling

JuliaSim Batteries is performant and enables the real-time predictive power of electrochemical models for battery packs with 1000s of cells.

Manufacturing Defects

Not all cells are created equal. JuliaSimBatteries helps mitigate and understand the effects of manufacturing defects on cell and pack performance.

Fast Charging

Built for robust and efficient simulations, even at the extreme operating conditions of fast-charge.


Predict battery lifetime and health with SEI capacity fade models.

Compare Chemistries

Choosing the right battery is not easy. Simulate your usecases with multiple chemistries to find the right fit with your usecase.

Lifetime Prediction

Estimate a battery’s entire lifetime with fast charging in under a minute with the DFN model.

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Model Libraries

JuliaSim Batteries offers several electrochemical models in cells, modules, and packs.

Doyle-Fuller-Newman Model (DFN):

High-fidelity simulation of a pseudo-2D lithium-ion battery model. Enables analysis and optimization of battery performance under various operating conditions.

Single-Particle Model with electrolyte (SPMe):

Simplifies the DFN battery model by considering a single particle for each electrode. Provides efficient simulations and valuable insights into cell-level behavior and degradation mechanisms in a fraction of the time of the DFN.

Single-Particle Model (SPM):

Perform rapid electrochemical simulations. The SPM model is effective for initial assessments, fast battery analysis, and large-scale pack simulations.