Platform

Physics-informed thermal intelligence for battery packs

Simulate thermal propagation, optimize charge protocols, and predict cycle life - all within a single engineering workflow built for India's two-wheeler and EV pack engineers.

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Thermal Modeling

Cell-level heat distribution, computed in real time

Our electrochemical-thermal model solves heat generation and conduction across every cell in your pack topology. Engineers set ambient temperature, SOC window, and discharge C-rate - the engine returns steady-state and transient thermal fields at 1-second resolution.

Calibrated on INR18650 and LFP prismatic chemistries commonly used in Indian two-wheeler packs. Bring your own DCIR and specific heat capacity values, or use our built-in chemistry library.

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Charge Strategy

Adaptive charge protocols from thermal constraints

Given your pack's thermal model and target lifespan, the platform derives current-taper profiles that keep peak cell temperature below your threshold while maximising charge throughput. No manual tuning of CC-CV parameters.

Protocols export as lookup tables compatible with BMS firmware on common MCU platforms used in India's two-wheeler supply chain.

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5A 4A 3A 1A 0 30 min 60 min 90 min I (current) V (voltage)

Cycle-Life Prediction

Model outputs you can put in a spec sheet

The degradation engine integrates calendar and cyclic ageing mechanisms - SEI growth, lithium plating risk at low temperature, and active material loss - to project capacity fade and internal resistance rise over defined use cycles.

Parameter Input Predicted at 500 cycles Predicted at 1000 cycles
Pack capacity 2.2 Ah (nominal) 2.09 Ah 1.94 Ah
Cell internal resistance 45 m-ohm 52 m-ohm 63 m-ohm
Peak cell temperature rise Baseline 35 C +1.4 C +3.1 C
Lithium plating risk index 0.00 0.04 0.11
Projected end-of-life 80% capacity threshold 1,340 cycles (est.)

Simulation: INR18650 2.2 Ah cell, 1C charge / 1C discharge, 28 C ambient. Results are model estimates.

Data Integration

Bring your test bench data in, get validated predictions out

DCIR Characterisation Files

Upload pulse test CSVs from your bench. The platform fits an equivalent-circuit model and refines thermal generation coefficients automatically.

BMS CAN Log Import

Ingest field-logged CAN frames from deployed packs. The engine reconstructs actual duty cycles and recalibrates ageing projections to real operating conditions.

Chemistry Parameter Library

Pre-loaded electrochemical parameters for INR18650, LFP prismatic, and NMC pouch cells common in Indian EV supply chains. Add custom chemistries via a structured JSON manifest.

Pack Topology Descriptor

Define series-parallel configuration, cell spacing, and thermal interface material properties in a declarative YAML format. No CAD software required.

Ambient Condition Profiles

Parameterise seasonal and regional ambient temperature variation - critical for Rajasthan summer or Himalayan winter operation envelopes.

Output Artefacts

Receive thermal field animations, charge protocol lookup tables, capacity fade curves, and risk index time series as downloadable engineering artefacts.

Get Started

Run your first thermal simulation this week

Request access and our team will provision a workspace configured for your pack chemistry and topology within 48 hours.

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Questions? Write to [email protected]