## @ingroup Library-Plots-Energy
# RCAIDE/Library/Plots/Energy/plot_battery_health_conditions.py
#
#
# Created: Jul 2023, M. Clarke
# ----------------------------------------------------------------------------------------------------------------------
# IMPORT
# ----------------------------------------------------------------------------------------------------------------------
from RCAIDE.Framework.Core import Units
from RCAIDE.Library.Plots.Common import set_axes, plot_style
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
# ----------------------------------------------------------------------------------------------------------------------
# PLOTS
# ----------------------------------------------------------------------------------------------------------------------
## @ingroup Library-Plots-Energy
[docs]
def plot_battery_temperature(results,
save_figure = False,
show_legend = True,
save_filename = "Battery_Temperature",
file_type = ".png",
width = 11, height = 7):
"""
Creates a three-panel plot showing battery thermal conditions and related parameters throughout flight.
Parameters
----------
results : Results
RCAIDE results structure containing segment data and battery thermal conditions
save_figure : bool, optional
Flag for saving the figure (default: False)
show_legend : bool, optional
Flag for displaying plot legend (default: True)
save_filename : str, optional
Name of file for saved figure (default: "Battery_Temperature")
file_type : str, optional
File extension for saved figure (default: ".png")
width : float, optional
Figure width in inches (default: 11)
height : float, optional
Figure height in inches (default: 7)
Returns
-------
fig : matplotlib.figure.Figure
Notes
-----
The function creates a 2x2 subplot containing:
1. Cell temperature vs time
2. Charge throughput vs time
3. Heat generation rate vs time
Each segment is plotted with a different color from the inferno colormap.
Different battery modules are distinguished by different markers.
**Major Assumptions**
* For identical battery modules, only the first module's data is plotted
* Time is converted from seconds to minutes for plotting
* Heat generation rate is converted to kilowatts for display
**Definitions**
'Charge Throughput'
Cumulative amount of charge that has passed through the battery (Ah)
'Heat Generation Rate'
Rate of thermal energy production in the battery (kW)
"""
# get plotting style
ps = plot_style()
parameters = {'axes.labelsize': ps.axis_font_size,
'xtick.labelsize': ps.axis_font_size,
'ytick.labelsize': ps.axis_font_size,
'axes.titlesize': ps.title_font_size}
plt.rcParams.update(parameters)
# get line colors for plots
line_colors = cm.inferno(np.linspace(0,0.9,len(results.segments)))
fig = plt.figure(save_filename)
fig.set_size_inches(width,height)
axis_1 = plt.subplot(2,2,1)
axis_2 = plt.subplot(2,2,2)
axis_3 = plt.subplot(2,2,3)
for network in results.segments[0].analyses.energy.vehicle.networks:
busses = network.busses
for bus_i, bus in enumerate(busses):
for b_i, battery in enumerate(bus.battery_modules):
if b_i == 0 or bus.identical_battery_modules == False:
for i in range(len(results.segments)):
bus_results = results.segments[i].conditions.energy[bus.tag]
time = results.segments[i].conditions.frames.inertial.time[:,0] / Units.min
battery_conditions = results.segments[i].conditions.energy[bus.tag].battery_modules[battery.tag]
cell_temp = battery_conditions.cell.temperature[:,0]
cell_charge = battery_conditions.cell.charge_throughput[:,0]
pack_Q = bus_results.heat_energy_generated[:,0]
if b_i == 0 and i == 0:
axis_1.plot(time,cell_temp, color = line_colors[i], marker = ps.markers[bus_i], linewidth = ps.line_width, label = battery.tag)
else:
axis_1.plot(time,cell_temp, color = line_colors[i], marker = ps.markers[bus_i], linewidth = ps.line_width)
axis_1.set_ylabel(r'Temperature (K)')
set_axes(axis_1)
axis_2.plot(time, cell_charge, color = line_colors[i], marker = ps.markers[bus_i], linewidth = ps.line_width)
axis_2.set_xlabel('Time (mins)')
axis_2.set_ylabel(r'Charge Throughput (Ah)')
set_axes(axis_2)
axis_3.plot(time, pack_Q/1000, color = line_colors[i], marker = ps.markers[bus_i], linewidth = ps.line_width)
axis_3.set_xlabel('Time (mins)')
axis_3.set_ylabel(r'$\dot{Q}_{heat}$ (kW)')
set_axes(axis_3)
if show_legend:
leg = fig.legend(bbox_to_anchor=(0.5, 0.95), loc='upper center', ncol = 4)
# Adjusting the sub-plots for legend
fig.tight_layout()
fig.subplots_adjust(top=0.8)
# set title of plot
title_text = 'Battery Temperature'
fig.suptitle(title_text)
if save_figure:
plt.savefig(save_filename + file_type)
return fig
