AI-Guided Materials Discovery: Bayesian Optimisation for Electrolyte Formulation

Closed-loop diagram of Bayesian optimisation for autonomous electrolyte formulation discovery: propose candidate, robotic synthesis, measure performance, update model

Choosing a solvent blend or additive package is fundamentally a search problem: a handful of components, each at a continuous concentration, combine into a space with far more candidate formulations than anyone could test by hand. The Electrolyte Solvent Ratios and Electrolyte Additives pages describe what’s in that space and why each component matters. This … Read more

The Bruggeman Myth: Why Cell Parameterization Must Move Beyond the 1.5 Assumption

AION Engineering INC In battery continuum modelling, few parameters are as universally accepted—and as fundamentally flawed for modern cells—as a Bruggeman exponent of 1.5. While it is widely understood that tortuosity and porosity are distinct structural metrics, the industry consistently defaults to this idealized constant to bridge the gap between them. To understand why modern … Read more

Optimising Battery Models for Real-World Use Cases

About Energy temperature curve

Most lithium-ion cells are rated to operate from –40 to 80 °C, yet few ever experience the extremes for more than a few minutes. In real-world operation, temperature tends to converge within a much narrower band. This is typically between 30 and 50 °C. That reality should guide how battery models are trained if they are to … Read more

Cell to Pack Fast Charging

cell to module to pack fast charge times

While individual battery cells can charge in under 15 minutes, EV battery packs take much longer to fully charge. There are a number of factors that influence that, including temperature spread across the pack. Key Factors Limiting Battery Cell Lifetime During Charging At the cell level, the fastest rate at which a battery cell can … Read more

Cell Busbar Thermal Model

cell busbar thermal model

Can we build a quite simple cell busbar thermal model? First thoughts are whether we can make some simple approximations and hence create a spreadsheet model. We have a current [I] flow through the busbar (orange). The busbar has a resistance defined by it’s resistivity, cross-sectional area and length. Hence we can calculate the heating … Read more

Lithium Intensity of Solid-State Batteries

In the ever-evolving world of lithium-ion batteries, solid-state batteries (SSB) are seen as the next generation of lithium-ion batteries. In an SSB, the liquid electrolyte used in conventional lithium-ion cells is replaced by a solid electrolyte capable of conducting lithium. There are three main families of solid electrolytes: oxides, sulphides, and polymers. SSBs promise to … Read more

Effect of Electrode Thickness on Cell Energy Density

In Li-ion batteries, the cathode thickness will heavily influence the energy density of the cell. A thicker cathode means there will be more cathode active material in the electrode. This increases the capacity of the electrode and hence increase the energy density of the cell. However, this relationship is not linear. Using the CAMS model, … Read more

Case-studies on Cell Design and Construction using the CAMS model

The Faraday Institution

This post is a compilation of three separate case-studies covering battery cell design and construction. The data and analysis for these case-studies was carried out using the Faraday Institutions CAMS model. CAMS was designed to rapidly assess the potential energy density of different cell chemistries and cell formats. The model can also be used as … Read more

Thermal Runaway Modeling and Calibration of an LFP Battery Cell

thermal runaway model

This post presents an example of the Thermal Runaway Modeling and Calibration of an LFP Battery Cell using the ARC device, the HWS test protocol and Simcenter Amesim. An abuse test is the most direct way to challenge the thermal stability limits of a Li-ion cell and characterize the thermal runaway phenomena. The Accelerating Rate Calorimeter (ARC) test … Read more

Tesla Fast Charge Thermal Model

Tesla fast charge thermal model building on open source data and a siemens model

Building on the Tesla fast charge thermal model that was discussed in the Siemens post: Race to the clouds: Battery thermal behavior simulation of a Tesla Model 3. This article looks at the cooling system and impact of a change in cooling direction. Starting with the model and the original Fast Charge Scenario. Fast Charge … Read more