PPolySim OS
Launch Studio
Use case · powered by Compressor Map

Compressor Map for an EV charger

Simulate an EV charger live in your browser. This runs the real Compressor Map solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:StudentsResearchersEducatorsEngineersHobbyists & MakersK-12 StudentsFirst Responders
1

Otto Cycle

open full solver →
Otto Cycle (Engine)Live

Controls

Presets

The Otto cycle idealizes a gasoline engine: adiabatic compression, constant-volume combustion, adiabatic expansion (the power stroke), and exhaust. Its efficiency, η = 1 − 1/r^(γ−1), depends only on the compression ratio. Higher compression means more efficiency — until the fuel pre-ignites and knocks, which is why octane rating matters.

▶ Run in Python

Data Inspector

Efficiency58.5%
Compression ratio9:1
γ1.40

Governing equation

Reading this result: Efficiency (58%) depends only on the 9:1 compression ratio and γ, not on how much fuel you burn — adding heat gives more power at the same efficiency ceiling.

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

↓
2

Carnot Cycle

open full solver →
Carnot CycleLive

Controls

Presets

The Carnot cycle — two isothermal and two adiabatic steps — is the most efficient possible heat engine between two temperatures. Its efficiency depends only on the reservoir temperatures: η = 1 − Tc/Th. No real engine can beat it, which is why raising the hot temperature or lowering the cold one is the only path to higher efficiency.

▶ Run in Python

Data Inspector

Efficiency50.0%
Tₕ / Tc2.00
Carnot limit50.0%

Governing equation

Reading this result: Efficiency here is 50.0% and is fixed by the temperature ratio alone — widening the expansion ratio enlarges the enclosed work loop but can never push past the 50.0% Carnot ceiling, and each kelvin removed from the cold side buys a bit more than each kelvin added to the hot side.

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

or unlock everything with Pro →

About this simulation

The full Compressor Map tool models an EV charger with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Compressor Map

Compressor Map for a solar farmCompressor Map for a wind turbineCompressor Map for a home batteryCompressor Map for a power gridCompressor Map for a heat pumpCompressor Map for a gas turbineCompressor Map for a hydro damCompressor Map for a nuclear plant

Other ways to simulate an EV charger

Solar PV System for an EV chargerWind Turbine Power for an EV chargerHydroelectric Power for an EV chargerHeat Pump COP for an EV chargerEV Range & Efficiency for an EV chargerBattery Storage for an EV charger

Frequently asked questions

How do I simulate an EV charger?
Open this page and use the live Compressor Map tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?
Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?
Absolutely — every input is adjustable, and with data import you can drive an EV charger from your own measurements.