What is the Battery Thermal Management multi-solver?

Battery Thermal Management is a guided workflow that chains 2 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.

Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.

Fluids & Energy Pack · Multi-Solver

Battery Thermal Management

Heat & cooling. This multi-solver chains 2 solvers into a single guided workflow — run each step in order and carry the result forward.

Workflow steps

or unlock everything with Pro →

Battery Storage

open full solver →

Battery Energy StorageLive

capacity, efficiency & backup

Controls

Presets

Capacity (kWh)

Round-trip efficiency (%)

Depth of discharge (%)

Daily load from battery (kWh)

A battery's rated capacity is not all usable: depth-of-discharge limits protect its life, and round-trip efficiency means some energy is lost charging and discharging. What actually reaches your home is capacity × depth-of-discharge × round-trip efficiency. Together with cycle life, these set backup duration and the cost per stored kilowatt-hour.

▶ Run in Python

Data Inspector

Usable capacity12.2 kWh

Delivered / cycle10.9 kWh

Backup time26.2 hr

Lifetime throughput66 MWh

Governing equation

E_{del} = C \cdot DoD \cdot η_{r t} = 13.5 \times 0.90 \times 0.90 = 10.9 kWh

Reading this result: Usable energy is capacity × depth-of-discharge × round-trip efficiency, so only 10.9 of 13.5 kWh (81%) reaches your home each cycle — the discharge limit removes more here than efficiency does.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

↓

Thermal Resistance

open full solver →

Composite Wall Heat TransferLive

R-value & U-value

Controls

Presets

Drywall (mm)

Insulation (mm)

Brick (mm)

Inside temp (°C)

Outside temp (°C)

Heat flows through a wall like current through resistors in series. Each layer's thermal resistance is its thickness over its conductivity; adding them gives the total R-value, and the heat flux is the temperature difference divided by it. Insulation, with very low conductivity, dominates the R-value — the steep temperature drop shows where it does its work.

▶ Run in Python

Data Inspector

Total R-value2.71 m²K/W

U-value0.37 W/m²K

Heat flux9.6 W/m²

Governing equation

R = \sum \frac{L _{i}}{k _{i} A} = 2.71 \frac{m ^{2} K}{W}, Q = \frac{Δ T}{R} = 9.6 \frac{W}{m ^{2}}

Reading this result: The insulation layer carries the most thermal resistance, so the temperature falls most steeply across it. A total R-value of 2.71 m²K/W lets 9.6 W/m² flow for this 26°C difference.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

Need a private, branded version?

We build custom solvers and workflows for labs, firms, agencies, and courses — your parameters, your branding, your data.

Explore Custom Solver Sets →

More in the Fluids & Energy pack

Airfoil & Wing Lab Pump & Piping System HVAC Duct Designer Wind Turbine Yield Heat Exchanger Sizing Nozzle & Jet Compressor Map Pipeline Network

Frequently asked questions

What is the Battery Thermal Management multi-solver?: Battery Thermal Management is a guided workflow that chains 2 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.
Is it free to use?: Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.