Battery simulation blocks for PathSim
Documentation • PathSim Homepage • GitHub
PathSim-Batt extends the PathSim simulation framework with battery cell blocks backed by PyBaMM. All blocks follow the standard PathSim interface and can be wired into any simulation diagram.
pip install pathsim-battimportpybammfrompathsimimportConnection, Simulationfrompathsim.blocksimportConstantfrompathsim.solversimportESDIRK43frompathsim_battimportCellElectrothermalcell=CellElectrothermal(initial_soc=1.0) # defaults: SPMe + Chen2020I_src=Constant(5.0) # 5 A dischargeT_src=Constant(298.15) # 25 °C ambientsim=Simulation(
blocks=[I_src, T_src, cell],
connections=[Connection(I_src, cell["I"]), Connection(T_src, cell["T_amb"])],
dt=1.0,
Solver=ESDIRK43,
)
sim.run(3600)
print(f"V = {cell.outputs[0]:.3f} V T = {cell.outputs[1]:.1f} K SOC = {cell.outputs[3]:.3f}")Two decisions determine the right block: thermal ownership and integration strategy.
| Block | Thermal | Strategy | Use when |
|---|---|---|---|
CellElectrothermal | PyBaMM (internal) | Monolithic ODE | Single cell, coupled electro-thermal, ODE model |
CellElectrical + LumpedThermal | PathSim (external) | Monolithic ODE | Pack-level, custom cooling, ODE model |
CellCoSimElectrothermal | PyBaMM (internal) | Co-simulation | DAE models (DFN, lead_acid.Full), mixed solvers |
CellCoSimElectrical + LumpedThermal | PathSim (external) | Co-simulation | DAE models with external thermal network |
LumpedThermal is a single-node thermal block (mass, Cp, UA, T0) that receives Q_dot from a CellElectrical block and feeds back cell temperature.
Thermal sub-model and heat-source options are injected automatically — pass the bare model class with no options=.
| PyBaMM model | Default parameter set | CellElectrical | CellElectrothermal | CellCoSimElectrical | CellCoSimElectrothermal |
|---|---|---|---|---|---|
lithium_ion.SPM | Chen2020 | ✅ | ✅ | ✅ | ✅ |
lithium_ion.SPMe | Chen2020 | ✅ | ✅ | ✅ | ✅ |
lithium_ion.DFN | Chen2020 | ❌ DAE | ❌ DAE | ✅ | ✅ |
lead_acid.LOQS | Sulzer2019 | ✅ ¹ | ✅ ¹ | ✅ ² | ✅ ² |
lead_acid.Full | Sulzer2019 | ❌ DAE | ❌ DAE | ✅ | ✅ |
equivalent_circuit.Thevenin | ECM_Example | ✅ | ✅ | ✅ ³ | ✅ ³ |
¹ PyBaMM < 26.7 only — from 26.7 on LOQS is a DAE, use a CellCoSim* block instead.
² PyBaMM < 26.7 only — pass pybamm_solver=pybamm.CasadiSolver(mode="safe"); the default IDAKLUSolver errors on LOQS. Fixed in 26.7.
³ initial_soc=1.0 fails because PyBaMM requires event values to be strictly positive at t=0; the "Maximum SoC" event is zero exactly at full charge. Any value below 1.0 (e.g. initial_soc=0.99) works.
importpybammfrompathsim_battimportCellElectrothermal, CellCoSimElectrical# Custom chemistry / parameter setcell=CellElectrothermal(
model=pybamm.lithium_ion.SPMe(),
parameter_values=pybamm.ParameterValues("Mohtat2020"),
)
# Lead-acid via co-simulation (DAE model)cell=CellCoSimElectrical(
model=pybamm.lead_acid.Full(),
parameter_values=pybamm.ParameterValues("Sulzer2019"),
dt=1.0,
)
# Equivalent circuit modelcell=CellElectrical(
model=pybamm.equivalent_circuit.Thevenin(),
parameter_values=pybamm.ParameterValues("ECM_Example"),
initial_soc=0.9,
)MIT
