Parameter Set · published 2026-11-02
PyBaMM 26.10.1.1's Chen2020 parameter set, for an LG M50 cell (Chen et al. 2020). Exported to BPX by battinfo-records (scripts/export-pybamm-bpx.py).
https://w3id.org/battinfo/dataset/ca1m-74ht-kcys-mhvtTaken from the BPX parameter set Chen2020 (PyBaMM), written for a DFN model (BPX 1.1.0). Source: Chen et al. 2020, doi:10.1149/1945-7111/ab9050. Curated by Simon Clark.
Parameter values from https://doi.org/10.1149/1945-7111/ab9050 as implemented in PyBaMM's Chen2020 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 0.22 mV RMS and 0.003% capacity (DFN discharges from 0.05C to 2C, and at 1C 20 K warmer).
| Parameter | Value | Unit |
|---|---|---|
| Electrode area, one electrode pair | 0.1027 | m² |
| External surface area | 0.00531 | m² |
| Cell volume | 2.42 × 10⁻⁵ | m³ |
| Number of electrode pairs | 1 | |
| Lower voltage cut-off | 2.5 | V |
| Upper voltage cut-off | 4.2 | V |
| Nominal cell capacity | 5 | Ah |
| Reference temperature | 298.15 | K |
| Parameter | Negative electrodeSilicon Graphite | Positive electrodeNMC811 | Unit |
|---|---|---|---|
| Particle radius | 5.86 × 10⁻⁶fitted | 5.22 × 10⁻⁶fitted | m |
| Open-circuit potential | 401-point curveagainst stoichiometryfitted | 401-point curveagainst stoichiometryfitted | V |
| Minimum stoichiometry | 0.026346fitted | 0.26385fitted | |
| Maximum stoichiometry | 0.91062fitted | 0.85397fitted | |
| Maximum lithium concentration | 33133fitted | 63104fitted | mol/m³ |
| Entropic change coefficient | 0fitted | 0fitted | V/K |
| Solid-phase diffusivity | 3.3 × 10⁻¹⁴fitted | 4 × 10⁻¹⁵fitted | m²/s |
| Diffusivity activation energy | 0fitted | 0fitted | J/mol |
| Reaction rate constant | 7.0368 × 10⁻⁶fitted | 7.0733 × 10⁻⁵fitted | mol·m⁻²·s⁻¹ |
| Reaction rate constant activation energy | 35000fitted | 17800fitted | J/mol |
| Parameter | Negative electrode | Positive electrode | Unit |
|---|---|---|---|
| Layer thickness | 8.52 × 10⁻⁵fitted | 7.56 × 10⁻⁵fitted | m |
| Electronic conductivity | 215fitted | 0.18fitted | S/m |
| Surface area per unit volume | 3.8396 × 10⁵fitted | 3.8218 × 10⁵fitted | m⁻¹ |
| Porosity | 0.25fitted | 0.335fitted | |
| Transport efficiency | 0.125fitted | 0.1939fitted |
| Parameter | Value | Unit |
|---|---|---|
| Layer thickness | 1.2 × 10⁻⁵fitted | m |
| Porosity | 0.47fitted | |
| Transport efficiency | 0.32222fitted |
| Parameter | Value | Unit |
|---|---|---|
| Cation transference number | 0.2594fitted | |
| Ionic conductivity | 300-point curveagainst concentration / mol/m³fitted | S/m |
| Conductivity activation energy | 0fitted | J/mol |
| Electrolyte diffusivity | 300-point curveagainst concentration / mol/m³fitted | m²/s |
| Diffusivity activation energy | 0fitted | J/mol |
| Parameter | Value | Unit |
|---|---|---|
| Initial state of charge | 0.98957 | |
| Initial temperature | 298.15 | K |
| Initial salt concentration | 1000 | mol/m³ |
| Ambient temperature | 298.15 | 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, 25 °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/ca1m-74ht-kcys-mhvt"
# ?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 5 A until 2.5 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 | ca1m-74ht-kcys-mhvt | parameter set |
Chen et al. (2020). Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society. https://doi.org/10.1149/1945-7111/ab9050. Described in Battery Genome as BPX NMC811 21700, https://w3id.org/battinfo/dataset/ca1m-74ht-kcys-mhvt.
Contributors · Simon Clark