Parameter Set · published 2026-11-02
PyBaMM 26.10.1.1's Prada2013 parameter set, for an LFP cell (Prada et al. 2013), with Chen2020's graphite OCP and exchange-current density. Exported to BPX by battinfo-records (scripts/export-pybamm-bpx.py).
https://w3id.org/battinfo/dataset/7da6-x79w-848p-ckz8Taken from the BPX parameter set Prada2013 (PyBaMM), written for a DFN model (BPX 1.1.0). Source: Prada et al. 2013, doi:10.1149/2.053304jes. Curated by Simon Clark.
Parameter values from https://doi.org/10.1149/2.053304jes as implemented in PyBaMM's Prada2013 parameter set (PyBaMM 26.10.1.1, BSD-3-Clause), exported to BPX by battinfo-records.
Matches PyBaMM 26.10.1.1's native set within 0.56 mV RMS and 0.006% capacity (DFN discharges from 0.05C to 2C, and at 1C 20 K warmer).
The cell surface area and volume are not in the PyBaMM set. They are derived from the electrode stack, and only thermal models use them.
| Parameter | Value | Unit |
|---|---|---|
| Electrode area, one electrode pair | 0.18 | m² |
| External surface area | 0.36 | m² |
| Cell volume | 2.502 × 10⁻⁵ | m³ |
| Number of electrode pairs | 1 | |
| Lower voltage cut-off | 2 | V |
| Upper voltage cut-off | 3.6 | V |
| Nominal cell capacity | 2.3 | Ah |
| Reference temperature | 298 | K |
| Parameter | Negative electrodeGraphite | Positive electrodeLFP | Unit |
|---|---|---|---|
| Particle radius | 5 × 10⁻⁶fitted | 5 × 10⁻⁸fitted | m |
| Open-circuit potential | 401-point curveagainst stoichiometryfitted | 401-point curveagainst stoichiometryfitted | V |
| Minimum stoichiometry | 0.017618fitted | 0.0037616fitted | |
| Maximum stoichiometry | 0.81004fitted | 0.7035fitted | |
| Maximum lithium concentration | 30555fitted | 22806fitted | mol/m³ |
| Entropic change coefficient | 0fitted | 0fitted | V/K |
| Solid-phase diffusivity | 3 × 10⁻¹⁵fitted | 5.9 × 10⁻¹⁸fitted | m²/s |
| Diffusivity activation energy | 0fitted | 0fitted | J/mol |
| Reaction rate constant | 7.0583 × 10⁻⁶fitted | 4.8735 × 10⁻⁶fitted | mol·m⁻²·s⁻¹ |
| Reaction rate constant activation energy | 35000fitted | 39570fitted | J/mol |
| Parameter | Negative electrode | Positive electrode | Unit |
|---|---|---|---|
| Layer thickness | 3.4 × 10⁻⁵fitted | 8 × 10⁻⁵fitted | m |
| Electronic conductivity | 110.08fitted | 0.14697fitted | S/m |
| Surface area per unit volume | 348000fitted | 2.244 × 10⁷fitted | m⁻¹ |
| Porosity | 0.36fitted | 0.426fitted | |
| Transport efficiency | 0.216fitted | 0.27804fitted |
| Parameter | Value | Unit |
|---|---|---|
| Layer thickness | 2.5 × 10⁻⁵fitted | m |
| Porosity | 0.45fitted | |
| Transport efficiency | 0.30187fitted |
| Parameter | Value | Unit |
|---|---|---|
| Cation transference number | 0.36fitted | |
| Ionic conductivity | 300-point curveagainst concentration / mol/m³fitted | S/m |
| Conductivity activation energy | 0fitted | J/mol |
| Electrolyte diffusivity | 2 × 10⁻¹⁰fitted | m²/s |
| Diffusivity activation energy | 0fitted | J/mol |
| Parameter | Value | Unit |
|---|---|---|
| Initial state of charge | 0.99995 | |
| Initial temperature | 298 | K |
| Initial salt concentration | 1200 | mol/m³ |
| Ambient temperature | 298 | K |
Values are rounded to five significant figures. Hover a value for the number as stated, or download the file for the full set.
PyBaMM 26.10.1.1, DFN, 24.9 °C. No measured data in the file.
Loading the profiles through the cell…
# pip install "pybamm[bpx]==26.10.1.1"
import json
import urllib.request
import pybamm
iri = "https://w3id.org/battinfo/dataset/7da6-x79w-848p-ckz8"
# ?format=bpx redirects to the BPX file; the file host refuses Python's default User-Agent.
request = urllib.request.Request(iri + "?format=bpx", headers={"User-Agent": "bpx-example"})
params = pybamm.ParameterValues.create_from_bpx_obj(json.loads(urllib.request.urlopen(request).read()))
experiment = pybamm.Experiment(["Discharge at 2.3 A until 2 V"])
solution = pybamm.Simulation(pybamm.lithium_ion.DFN(), parameter_values=params, experiment=experiment).solve()
print(solution["Discharge capacity [A.h]"].entries[-1], "A h")| # | Role | Record | Identifier | Type |
|---|---|---|---|---|
| 01 | Parameter set | This record | 7da6-x79w-848p-ckz8 | parameter set |
Prada et al. (2013). A Simplified Electrochemical and Thermal Aging Model of LiFePO<sub>4</sub>-Graphite Li-ion Batteries: Power and Capacity Fade Simulations. Journal of The Electrochemical Society. https://doi.org/10.1149/2.053304jes. Described in Battery Genome as BPX LFP, https://w3id.org/battinfo/dataset/7da6-x79w-848p-ckz8.
Contributors · Simon Clark