Dynamic analysis II¶

In this example we simulate different SOC breakpoints for the baseline and virtual cell with 5% less NPratio, and compare the capacity and DCIR.

In [1]:

from breathe_simulate import api_interface as api
from breathe_simulate import Cycler
from breathe_simulate import enable_notebook_plotly
import plotly.express as px

enable_notebook_plotly()

from breathe_simulate import api_interface as api from breathe_simulate import Cycler from breathe_simulate import enable_notebook_plotly import plotly.express as px enable_notebook_plotly()

As before, we first import the necessary modules and define the base battery, cycler, and designs.

In [2]:

base_params = api.get_design_parameters("Molicel P45B")
eqm_results = api.get_eqm_kpis("Molicel P45B")
designs = [{"designName": "Lower NP", "NPratio": base_params["NPratio"] * 0.95}]
baseline_capacity = eqm_results.capacity
cycler = Cycler(selected_unit="C", cell_capacity=baseline_capacity)

base_params = api.get_design_parameters("Molicel P45B") eqm_results = api.get_eqm_kpis("Molicel P45B") designs = [{"designName": "Lower NP", "NPratio": base_params["NPratio"] * 0.95}] baseline_capacity = eqm_results.capacity cycler = Cycler(selected_unit="C", cell_capacity=baseline_capacity)

We can pass a list of SOC breakpoints to the initialSoC parameter of the run_sim function to simulate different SOCs.

In [3]:

# define some SOC breakpoints we want to simulate
soc_bps = [0.25, 0.5, 0.75]
# run a batch of simulations for different SOC breakpoints
output = api.run_sim(
    base_battery="Molicel P45B",
    cycler=cycler.cc_chg(1.0, 4.2),
    designs=designs,
    initialSoC=soc_bps,
    initialTemperature_degC=21.0,
)

# define some SOC breakpoints we want to simulate soc_bps = [0.25, 0.5, 0.75] # run a batch of simulations for different SOC breakpoints output = api.run_sim( base_battery="Molicel P45B", cycler=cycler.cc_chg(1.0, 4.2), designs=designs, initialSoC=soc_bps, initialTemperature_degC=21.0, )

Running...: 100%|██████████| 1/1 [00:04<00:00,  4.05s/ designs]

Running...: 100%|██████████| 1/1 [00:09<00:00,  9.66s/ designs]
Running...: 100%|██████████| 1/1 [00:13<00:00, 13.77s/ designs]

The dynamic output data is now returned as a list of dictionaries, where each dictionary contains the simulation results for a given SOC breakpoint.

In [4]:

output.plot_voltage_response()

output.plot_voltage_response()