pulsim 0.6.5

High-performance circuit simulator for power electronics

PulsimCore

High-performance backend for power electronics simulation.

PulsimCore combines a C++ simulation kernel with a Python-first runtime so you can build, validate, and ship converter simulations with reproducible YAML netlists.

Why PulsimCore

• Python-native workflow: import pulsim
• Versioned YAML netlist schema (pulsim-v1)
• Robust transient flow for switched converters (fallback-aware)
• Mixed-domain support (control, events, thermal coupling)
• Built-in benchmark, parity, and stress tooling for CI gates

Quick Start

Build local bindings

cmake -S . -B build -G Ninja \
  -DCMAKE_BUILD_TYPE=Release \
  -DPULSIM_BUILD_PYTHON=ON
cmake --build build -j

Run a first simulation

PYTHONPATH=build/python python3 - <<'PY'
import pulsim as ps

parser = ps.YamlParser(ps.YamlParserOptions())
circuit, options = parser.load("benchmarks/circuits/rc_step.yaml")

options.newton_options.num_nodes = int(circuit.num_nodes())
options.newton_options.num_branches = int(circuit.num_branches())

sim = ps.Simulator(circuit, options)
result = sim.run_transient(circuit.initial_state())

print("success:", result.success, "steps:", result.total_steps)
PY

Documentation

• Documentation site: https://lgili.github.io/Pulsim/
• Getting started guide: docs/getting-started.md
• Netlist format (including simulation.control): docs/netlist-format.md
• Frontend control/signal contract: docs/frontend-control-signals.md
• Electrothermal workflow: docs/electrothermal-workflow.md
• Configuration guide (solver/control/thermal): docs/configuration.md
• API reference: docs/api-reference.md
• Benchmarks and parity: docs/benchmarks-and-parity.md

Closed-Loop + Thermal Quickstart

Use the backend-ready closed-loop buck example:

PYTHONPATH=build/python python3 - <<'PY'
import pulsim as ps

parser = ps.YamlParser(ps.YamlParserOptions())
circuit, options = parser.load("examples/09_buck_closed_loop_loss_thermal_validation_backend.yaml")
options.newton_options.num_nodes = int(circuit.num_nodes())
options.newton_options.num_branches = int(circuit.num_branches())

sim = ps.Simulator(circuit, options)
result = sim.run_transient(circuit.initial_state())

print("ok:", result.success)
print("max_temp:", result.thermal_summary.max_temperature)
print("components:", len(result.component_electrothermal))
print("thermal_trace_keys:", [k for k in result.virtual_channels if k.startswith("T(")])
PY

Generate a plot with electrical/control channels plus switch thermal trace (T(M1)):

PYTHONPATH=build/python python3 examples/plot_buck_closed_loop_thermal_backend.py

Validation and Performance Workflows

# Python runtime tests
PYTHONPATH=build/python pytest python/tests -v --ignore=python/tests/validation

# C++ kernel tests
ctest --test-dir build --output-on-failure

# Benchmark suite
PYTHONPATH=build/python python3 benchmarks/benchmark_runner.py --output-dir benchmarks/out

Product Surface

Supported user-facing surface:

• Python runtime (import pulsim)
• YAML netlists (schema: pulsim-v1)

Legacy CLI/gRPC/JSON-first paths are not the canonical integration target.

Docs Deployment (GitHub Pages)

Docs are published by .github/workflows/docs.yml using MkDocs Material + mike:

• PR: strict docs build
• main: deploy dev docs channel
• vX.Y.Z tag: deploy release docs and update latest

In repository settings, set Pages Source to GitHub Actions.