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I tried to simulate a basic experiment using liionpack for a 1p100s battery pack using the DFN model and the Chen2020 parameter set but the model wouldn't solve. The SPM and SPMe model works though. Using the MPM model throws a KeyError: "'Negative area-weighted particle-size distribution [m-1]' not found. Best matches are ['Negative particle radius [m]', 'Negative electrode diffusivity [m2.s-1]', 'Negative current collector conductivity [S.m-1]']".
Any solutions to work with the DFN model are highly appreciated.
Steps to Reproduce
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"
import time
from datetime import timedelta
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import mean_absolute_error, mean_squared_error
import pybamm
from pybamm import ParameterValues
pybamm.set_logging_level('NOTICE')
import liionpack as lp
# set the parameter values according to chemistry
parameter_values_chen = pybamm.ParameterValues('Chen2020')
# create the experiment
experiment = pybamm.Experiment(
[
"Charge with 5A for 100 seconds",
"Rest for 100 seconds",
"Discharge with 5A for 100 seconds",
] * 1,
period='0.5 second'
)
# Simulation function
def mysim_func(parameter_values):
# create the model
model = pybamm.lithium_ion.DFN()
# Set up solver and simulation
# solver = pybamm.CasadiSolver(mode="safe", dt_max=600)
solver = pybamm.CasadiSolver(mode="fast")
sim = pybamm.Simulation(
model=model,
parameter_values=parameter_values,
solver=solver
)
return sim
Np = 1
Ns = 100
netlist = lp.setup_circuit(
Np=Np, Ns=Ns, Ri=1e-10, Rc=1e-10, Rb=1e-10, Rt=1e-10
)
t0 = time.time()
output = lp.solve(
netlist=netlist,
sim_func=mysim_func,
parameter_values=parameter_values_chen,
experiment=experiment,
# inputs=inputs,
initial_soc=0.5
)
t1 = time.time()
f'The simulation has finished running.'
f'Simulation time = {timedelta(seconds=round(t1-t0))}'
# Plot system level current and voltage values
# Plot current values
fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(16,10), sharex=True)
# Pack current
ax1.plot(output['Pack current [A]'], '-o')
ax1.set_title(f'Pack current [A] configuration {Np}p{Ns}s')
ax1.set_ylabel('[A]')
ax1.grid()
# Pack terminal voltage
ax2.plot(output['Pack terminal voltage [V]'],'-o')
# ax2.plot(output['Terminal voltage [V]'].sum(axis=1), '-*')
# ax2.plot(curr['timestamp'], curr['voltage'])
ax2.set_title(f'Pack terminal voltage [V]')
ax2.set_ylabel('[V]')
ax2.legend(['Liionpack', 'Liionpack sum of cells'])
ax2.grid();
Expected behaviour
Relevant log output
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Using the DFN model causes a runtime error into CASIDI:
RuntimeError: Error in Function::call for 'F' [IdasInterface] at D:\bld\casadi_1705758725091\work\casadi\core\function.cpp:1401:
Error in Function::call for 'F' [IdasInterface] at D:\bld\casadi_1705758725091\work\casadi\core\function.cpp:330:
D:\bld\casadi_1705758725091\work\casadi\interfaces\sundials\idas_interface.cpp:596: IDACalcIC returned "IDA_LINESEARCH_FAIL". Consult IDAS documentation.
Confirmed that works with SPM and SPMe. But there is a voltage drop that I cannot fix.
liionpack Version
0.3.5
Python Version
3.9.16
Describe the bug
I tried to simulate a basic experiment using liionpack for a 1p100s battery pack using the DFN model and the Chen2020 parameter set but the model wouldn't solve. The SPM and SPMe model works though. Using the MPM model throws a KeyError: "'Negative area-weighted particle-size distribution [m-1]' not found. Best matches are ['Negative particle radius [m]', 'Negative electrode diffusivity [m2.s-1]', 'Negative current collector conductivity [S.m-1]']".
Any solutions to work with the DFN model are highly appreciated.
Steps to Reproduce
Expected behaviour
Relevant log output
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: