Asymptotic - Physics engines for batteries and BMS

Battery innovation is accelerating. Understanding is not.

What OEMs face today

A black box, characterised by waiting.

01Cells behave like black boxes — terminal data only.
02Limited access to internal cell behaviour.
03Characterisation takes months to years.
04Requires teardown or proprietary information.
05BMS firmware ships on top of incomplete models.

What OEMs actually need

Visibility, on the engineer's clock.

01Full visibility into internal cell behaviour.
02Fast, reliable cell understanding from non-intrusive data.
03Characterisation in days, not years.
04Non-intrusive, IP-safe methods — no NDA wall.
05High-fidelity models the BMS can actually rely on.

02 — The platform

A faster, deeper way to understand batteries.

Physics-based simulation FMU

High-fidelity battery simulation, without teardown.

Accurate electrochemical models built directly from terminal measurements.

01Characterisation in under three weeks
02No teardown
03Multi-fidelity models: SPM and SPMe
04Eliminate years of testing cycles
05Integrates seamlessly with your current workflow

PBM on Edge

Real-time intelligence, on the BMS itself.

The same physics, reduced to a model light enough to run on BMS. Continuous monitoring, recalibration, and optimisation without changing the rest of your stack.

01Real-time state estimation: SoC, SoH, Cutoff Voltages
02Continuous recalibration over the cell's life
03Unlock more usable capacity
04Enables safer fast charging by monitoring anode potential.
05Works with existing BMS hardware

03 — Team

The Team

SAKETH PINAPATI

SATHWIK GUNDALA

ROHITH BOTU

Batteries aren't black boxes anymore.