BMS development that stays accurate in every condition

State of charge is not a measurable quantity. A sensor reads voltage, current and temperature. The BMS infers charge from these readings and from a model of the cell. Because voltage also depends on load, temperature and age, the inference drifts. Every percent of error costs usable range at the bottom and safety margin at the top. That is why physics-based simulation matters: with it, you improve your BMS algorithms and use more of the cell.

Four things: the quality of the cell model behind the estimator, sensor error, the shape of the open-circuit voltage curve and the aging of the cell. A flat voltage curve turns small sensor errors into large state-of-charge errors. Cold temperature and high current move the operating point away from the calibration. There is a solution for each of these problems, and it is developed with physics-based simulation.

Use software-in-the-loop. The BMS code runs against a plant model of the cell, and automated routines replay scenarios: cold starts, high-current pulses, aged cells. Because Batemo Cell Models run within seconds, you can run thousands of scenarios a day. Hardware-in-the-loop and bench tests then confirm a design that has already been stress-tested.

A plant model with the wrong structure turns its own errors into errors of the BMS. A physics-based model describes the electrical, thermal and physical processes inside the cell. It stays valid under cold, high-current and aged conditions, where a lookup table or a fitted circuit drifts. The estimator is tested against the physics, not against its own training data.

Yes. Batemo Cell Data holds the measurements behind each Batemo Cell Model: constant currents, pulses and power profiles across the operating range. You can run your estimator against model and measurement side by side without testing a cell yourself. For most development work, the validated model alone is enough. The Batemo Cell Model can also run the parameterization tests of a BMS model virtually, so you get to a higher-quality BMS model faster.

Across 198 validated cells the median model deviation is 0.8 %, measured against validation experiments. This is the accuracy of the reference your estimator is tested against, not of the estimator itself. Batemo backs its models with a guarantee: if you can show us another battery cell model that is more accurate, we will refund your money. We publish the accuracy of every model on its own cell page on this website, and for every model we provide Excel reports that show its accuracy under the validation conditions in detail.