XJTU电池数据集详细分析（附代码）—— XJTU battery dataset analysis - IT评测·应用市场-qidao123.com

import numpy as np
import matplotlib.pyplot as plt
from scipy.io import loadmat
from scipy import interpolate
import os
import functools

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def interpolate_resample(resample=True, num_points=128):
'''
插值重采样装饰器,如果resample为True，那么就进行插值重采样，点数为num_points,默认为128；
否则就不进行重采样
:param resample: bool: 是否进行重采样
:param num_points: int: 重采样的点数
:return:
'''
def decorator(func):
@functools.wraps(func)
def wrapper(self,*args, **kwargs):
data = func(self,*args, **kwargs)
if resample:
x = np.linspace(0, 1, data.shape[0])
f1 = interpolate.interp1d(x, data, kind='linear')
new_x = np.linspace(0, 1, num_points)
data = f1(new_x)
return data
return wrapper
return decorator

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class Battery:
def __init__(self,path):
mat = loadmat(path)
self.data = mat['data']
self.battery_name = path.split('/')[-1].split('.')[0]
self.summary = mat['summary']
self.cycle_life = self.summary[0][0][8][0][0]
self.description = self.summary[0][0][9][0]
self.variable_name = ['system_time','relative_time_min','voltage_V','current_A','capacity_Ah','power_Wh','temperature_C','description']
print(f'电池寿命：{self.cycle_life}, 电池描述：{self.description}')
def print_variable_name(self):
print('0:system_time, '
'1:relative_time_min, '
'2:voltage_V, '
'3:current_A, '
'4:capacity_Ah, '
'5:power_Wh, '
'6:temperature_C, '
'7:description'
)
def get_descriptions(self):
'''
电池每个cycle都有一个描述，这个函数返回所有的描述种类
:return:
'''
descriptions = []
for i in range(self.data.shape[1]):
description = self.data[0][i][7][0]
if description not in descriptions:
descriptions.append(description)
return descriptions
def get_one_cycle_description(self,cycle):
'''
获取某个cycle的描述
:param cycle: int: 电池的循环次数
:return:
'''
# 如果cycle大于电池的循环次数，或者小于1，那么就报错，并提示用户
if cycle > self.data.shape[1] or cycle < 1:
raise ValueError(f'cycle的值应该在[1,{self.data.shape[1]}]之内')
description = self.data[0][cycle-1][7][0]
return description
def get_degradation_trajectory(self):
'''
获取电池的容量衰减轨迹。因为很多cycle没有完全放电，因此需要用[test capacity]的cycle来插值
对于完全放电的前几批次数据，该函数与self.get_capacity()函数的结果是一样的
:return:
'''
# 获取测量容量的cycle
test_capacity_cycles = []
for i in range(1,self.cycle_life+1):
des = self.get_one_cycle_description(i)
if 'test capacity' in des:
test_capacity_cycles.append(i)
# 获取测量容量的cycle的容量
index = np.array(test_capacity_cycles)-1
capacity = self.get_capacity()
test_capacity = capacity[index]
# 利用插值法获取所有cycle的容量
cycle = np.arange(1,self.cycle_life+1)
try:
f = interpolate.interp1d(test_capacity_cycles,test_capacity,kind='cubic',fill_value='extrapolate')
except:
f = interpolate.interp1d(test_capacity_cycles,test_capacity,kind='linear',fill_value='extrapolate')
degradation_trajectory = f(cycle)
return degradation_trajectory #,(np.array(test_capacity_cycles),test_capacity)
def get_capacity(self):
'''
获取电池的容量曲线
:return:
'''
capacity = self.summary[0][0][1].reshape(-1)
return capacity
def get_value(self,cycle,variable):
'''
从cycle中提取出variable的数据
:param cycle: int: 电池的循环次数
:param variable: int or str: 变量的名称或者索引,可选self.variable_name中的变量
:return:
'''
if isinstance(variable,str):
variable = self.variable_name.index(variable)
assert cycle <= self.data.shape[1]
assert variable <= 7
value = self.data[0][cycle-1][variable]
if variable == 7:
value = value[0]
else:
value = value.reshape(-1)
return value
# 如果需要重采样，则取消下面这行注释
# @interpolate_resample(resample=False,num_points=128)
def get_partial_value(self,cycle,variable,stage=1):
'''
从cycle中提取出variable的stage阶段的数据
:param cycle: int: 电池的循环次数
:param variable: int or str: 变量的名称或者索引,可选self.variable_name中的变量
:param stage: int: 阶段的索引，可选[1,2,3,4], 分别是【充电，静置，放电，静置】; 对于Batch6模拟卫星的实验数据，一共有三个阶段[1,2,3]，【分别是充电，静置，放电】
:return:
'''
value = self.get_value(cycle=cycle,variable=variable)
relative_time_min = self.get_value(cycle=cycle,variable='relative_time_min')
# 找到relative_time_min中等于0的index
index = np.where(relative_time_min == 0)[0]
index = np.insert(index,len(index),len(value))
value = value[index[stage-1]:index[stage]]
return value
# 如果需要重采样，则取消下面这行注释
# @interpolate_resample(resample=False,num_points=128)
def get_CC_value(self, cycle, variable, voltage_range=None):
'''
获取第cycle个充电的周期的CC过程中的variable的值;如果指定了voltage_range,那么就是在voltage_range范围内的值
:param cycle: int: 电池的循环次数
:param variable: int or str: 变量的名称或者索引,可选self.variable_name中的变量
:param voltage_range: list or None: 电压的范围,默认为None,表示整个CC过程的数据. 也可选其他范围，for example:[3.5,4.0]
:return:
'''
value = self.get_partial_value(cycle=cycle, variable=variable, stage=1)
voltage = self.get_partial_value(cycle=cycle, variable='voltage_V', stage=1)
if voltage_range is None:
index = np.where(voltage <= 4.199)[0]
else:
index = np.where((voltage >= voltage_range[0]) & (voltage <= voltage_range[1]))[0]
value = value[index]
return value
# 如果需要重采样，则取消下面这行注释
# @interpolate_resample(resample=False,num_points=128)
def get_CV_value(self, cycle, variable, current_range=None):
'''
获取第cycle个充电的周期的CV过程中的variable的值;如果指定了current_range,那么就是在current_range范围内的值
:param cycle: int: 电池的循环次数
:param variable: int or str: 变量的名称或者索引,可选self.variable_name中的变量
:param current_range: list or None: 电流的范围,默认为None,表示整个CV过程的数据. 其他可选：for example:[1.0,0.5]
:return:
'''
value = self.get_partial_value(cycle=cycle, variable=variable, stage=1)
current = self.get_partial_value(cycle=cycle, variable='current_A', stage=1)
voltage = self.get_partial_value(cycle=cycle, variable='voltage_V', stage=1)
if current_range is None:
index = np.where(voltage >= 4.199)[0]
else:
index = np.where((current >= np.min(current_range)) & (current <= np.max(current_range)))[0]
value = value[index]
return value
def get_one_cycle(self,cycle):
'''
获取某个cycle的所有通道数据
:param cycle: int: 电池的循环次数
:return:
'''
assert cycle <= self.data.shape[1]
cycle_data = {}
cycle_data['system_time'] = self.get_value(cycle=cycle,variable='system_time')
cycle_data['relative_time_min'] = self.get_value(cycle=cycle,variable='relative_time_min')
cycle_data['voltage_V'] = self.get_value(cycle=cycle,variable='voltage_V')
cycle_data['current_A'] = self.get_value(cycle=cycle,variable='current_A')
cycle_data['capacity_Ah'] = self.get_value(cycle=cycle,variable='capacity_Ah')
cycle_data['power_Wh'] = self.get_value(cycle=cycle,variable='power_Wh')
cycle_data['temperature_C'] = self.get_value(cycle=cycle,variable='temperature_C')
cycle_data['description'] = self.get_value(cycle=cycle,variable='description')
return cycle_data
def get_IC_curve1(self,cycle,voltage_range=[3.6,4.19],step_len=0.01):
'''
计算增量容量曲线，公式为：dQ/dV,其中Q为容量，V为电压
:param cycle: int: 电池的循环次数
:param voltage_range: list: 电压的范围,默认为None,表示整个电池的电压范围
:param step_len: float: 对容量数据进行等电压的间隔重采样，默认电压间隔为0.01V
:return:
'''
Q = self.get_CC_value(cycle=cycle,variable='capacity_Ah',voltage_range=voltage_range)
V = self.get_CC_value(cycle=cycle,variable='voltage_V',voltage_range=voltage_range)
if len(Q) <= 2 or len(V) <= 2:
return [],[]
# 对Q进行等V间隔重采样
f1 = interpolate.interp1d(V, Q, kind='linear')
num_points = int((voltage_range[1] - voltage_range[0]) / step_len) + 1
V_new = np.linspace(V[0], V[-1], num_points)
Q_new = f1(V_new)
dQ = np.diff(Q_new)
dV = np.diff(V_new)
IC = dQ/dV
return IC,V_new[1:]
def get_IC_curve2(self,cycle,voltage_range=[3.6,4.19],step_len=0.01):
'''
计算增量容量曲线，公式为：dQ/dV = I·dt/dV
:param cycle: int: 电池的循环次数
:param voltage_range: list: 电压的范围,默认为None,表示整个电池的电压范围
:param step_len: float: 对电流和时间数据进行等电压的间隔重采样，默认电压间隔为0.01V
:return:
'''
t = self.get_CC_value(cycle=cycle,variable='relative_time_min',voltage_range=voltage_range)
V = self.get_CC_value(cycle=cycle,variable='voltage_V',voltage_range=voltage_range)
I = self.get_CC_value(cycle=cycle,variable='current_A',voltage_range=voltage_range)
# 对t和I进行等电压V间隔重采样
num_points = int((voltage_range[1] - voltage_range[0]) / step_len) + 1
f1 = interpolate.interp1d(V, t, kind='linear')
V_new = np.linspace(V[0], V[-1], num_points)
t_new = f1(V_new)
f2 = interpolate.interp1d(V, I, kind='linear')
I_new = f2(V_new)
dt = np.diff(t_new)
dV = np.diff(V_new)
Idt = I_new[1:]*dt
IC = Idt/dV
return IC,V_new[1:]

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# Batch1
battery_path = r'..\Batch-1\2C_battery-1.mat'
battery = Battery(battery_path)

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电池寿命：390, 电池描述：2C charge experiment

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# 画容量退化曲线
import scienceplots
plt.style.use(['science'])
%matplotlib inline
degradation_trajectory = battery.get_capacity()
fig, ax = plt.subplots(figsize=(3, 2),dpi=200)
plt.plot(degradation_trajectory[1:])
plt.xlabel('Cycle')
plt.ylabel('Capacity (Ah)')
plt.show()

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# 画第100个cycle的电压、电流、温度曲线
current = battery.get_value(cycle=100,variable='current_A')
voltage = battery.get_value(cycle=100,variable='voltage_V')
temperature = battery.get_value(cycle=100,variable='temperature_C')
# 在1*3的子图中画出电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
axs[0].plot(current)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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# 画第100个cycle的充电阶段的电压、电流、温度曲线
current = battery.get_partial_value(cycle=100,stage=1,variable='current_A')
voltage = battery.get_partial_value(cycle=100,stage=1,variable='voltage_V')
temperature = battery.get_partial_value(cycle=100,stage=1,variable='temperature_C')
# 在1*3的子图中画出电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
axs[0].plot(current)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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# 画第100个cycle的放电阶段的电压、电流、温度曲线
current = battery.get_partial_value(cycle=100,stage=3,variable='current_A')
voltage = battery.get_partial_value(cycle=100,stage=3,variable='voltage_V')
temperature = battery.get_partial_value(cycle=100,stage=3,variable='temperature_C')
# 在1*3的子图中画出电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
axs[0].plot(current)
axs[0].set_ylim([-1,-3])
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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# 画第100个cycle恒流充电阶段，电压范围为[3.8,4.0]的电压、电流、温度曲线
relative_time = battery.get_CC_value(cycle=100,variable='relative_time_min',voltage_range=[3.8,4.0])
current = battery.get_CC_value(cycle=100,variable='current_A',voltage_range=[3.8,4.0])
voltage = battery.get_CC_value(cycle=100,variable='voltage_V',voltage_range=[3.8,4.0])
temperature = battery.get_CC_value(cycle=100,variable='temperature_C',voltage_range=[3.8,4.0])
# 在1*3的子图中画出电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
axs[0].plot(relative_time,current)
axs[0].set_ylim([3,5])
axs[0].set_xlabel('Relative Time (min)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(relative_time,voltage)
axs[1].set_xlabel('Relative Time (min)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(relative_time,temperature)
axs[2].set_xlabel('Relative Time (min)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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# 画第100个cycle恒压充电阶段，电流范围为[1.0,0.5]A内的电压、电流、温度曲线
relative_time = battery.get_CV_value(cycle=100,variable='relative_time_min',current_range=[1.0,0.5])
current = battery.get_CV_value(cycle=100,variable='current_A',current_range=[1.0,0.5])
voltage = battery.get_CV_value(cycle=100,variable='voltage_V',current_range=[1.0,0.5])
temperature = battery.get_CV_value(cycle=100,variable='temperature_C',current_range=[1.0,0.5])
# 在1*3的子图中画出电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
axs[0].plot(relative_time,current)
axs[0].set_xlabel('Relative Time (min)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(relative_time,voltage)
axs[1].set_xlabel('Relative Time (min)')
axs[1].set_ylabel('Voltage (V)')
axs[1].set_ylim([4.1,4.3])
axs[2].plot(relative_time,temperature)
axs[2].set_xlabel('Relative Time (min)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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# 画第100个cycle的增量容量曲线
IC,V = battery.get_IC_curve1(cycle=100,voltage_range=[3.6,4.19],step_len=0.01)
fig, ax = plt.subplots(figsize=(3, 2),dpi=200)
plt.plot(V,IC)
plt.xlabel('Voltage (V)')
plt.ylabel('dQ/dV (Ah/V)')
plt.show()

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# 画全寿命周期内的充电电压曲线
fig, ax = plt.subplots(figsize=(3, 2),dpi=200)
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))
for cycle in range(1,battery.cycle_life+1,5):
voltage = battery.get_partial_value(cycle=cycle,stage=1,variable='voltage_V')
plt.plot(voltage,color=cm[cycle-1])
plt.xlabel('Time (s)')
plt.ylabel('Voltage (V)')
cbar = plt.colorbar(sm)
cbar.set_label('Cycle')
plt.show()

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fig, ax = plt.subplots(figsize=(3, 2),dpi=200)
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))
for cycle in range(2,battery.cycle_life+1,5):
IC,V = battery.get_IC_curve1(cycle=cycle,voltage_range=[3.6,4.19],step_len=0.01)
plt.plot(V,IC,color=cm[cycle-1])
plt.xlabel('Voltage (V)')
plt.ylabel('dQ/dV (Ah/V)')
cbar = plt.colorbar(sm)
cbar.set_label('Cycle')
plt.show()

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battery = Battery('../Batch-3/R2.5_battery-1.mat')
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))

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电池寿命：592, 电池描述：Random discharge to 2.5V

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# 画容量退化曲线
degradation_trajectory = battery.get_capacity()
fig, ax = plt.subplots(figsize=(3, 2),dpi=200)
plt.plot(degradation_trajectory)
plt.xlabel('Cycle')
plt.ylabel('Capacity (Ah)')
plt.show()

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# 在1*3的图中画放电电流取值{0.5,1,2,3,5}C的电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
labels = ['0.5C','1C','2C','3C','5C']
for cycle in [2,3,4,5,6]:
current = battery.get_value(cycle=cycle,variable='current_A')
voltage = battery.get_value(cycle=cycle,variable='voltage_V')
temperature = battery.get_value(cycle=cycle,variable='temperature_C')
axs[0].plot(current)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature,label=labels[cycle-2])
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.legend()
plt.tight_layout()
plt.show()

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battery = Battery('../Batch-4/R3_battery-1.mat')
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))

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电池寿命：799, 电池描述：Random discharge to 3V

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# 画容量退化曲线和退化轨迹
capacity = battery.get_capacity()
degradation_trajectory = battery.get_degradation_trajectory()
x = np.arange(len(capacity))
fig, ax = plt.subplots(figsize=(3, 1.5),dpi=200)
plt.plot(x,capacity,'--k',linewidth=0.1,alpha=0.6)
plt.scatter(x,capacity,c=cm,s=1,alpha=0.8)
plt.plot(degradation_trajectory,linewidth=1.5,alpha=0.5,c='#FF371B',label='Degradation Trajectory')
plt.xlabel('Cycle')
plt.ylabel('Capacity (Ah)')
plt.legend()
plt.show()

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# 在1*3的图中画放电电流取值{0.5,1,2,3,5}C的电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
labels = ['0.5C','1C','2C','3C','5C']
for cycle in [2,3,4,5,6]:
current = battery.get_value(cycle=cycle,variable='current_A')
voltage = battery.get_value(cycle=cycle,variable='voltage_V')
temperature = battery.get_value(cycle=cycle,variable='temperature_C')
axs[0].plot(current)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature,label=labels[cycle-2])
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.legend()
plt.tight_layout()
plt.show()

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battery = Battery('../Batch-5/RW_battery-1.mat')
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))

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电池寿命：197, 电池描述：Random Walk Discharging experiment

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# 画容量退化曲线和退化轨迹
capacity = battery.get_capacity()
degradation_trajectory = battery.get_degradation_trajectory()
x = np.arange(len(capacity))
fig, ax = plt.subplots(figsize=(3, 1.5),dpi=200)
plt.plot(x,capacity,'--k',linewidth=0.1,alpha=0.6)
plt.scatter(x,capacity,c=cm,s=1,alpha=0.8)
plt.plot(degradation_trajectory,linewidth=1.5,alpha=0.5,c='#FF371B',label='Degradation Trajectory')
plt.xlabel('Cycle')
plt.ylabel('Capacity (Ah)')
plt.legend()
plt.show()

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# 在1*3的图中随机画出5个cycle的电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
for i in range(1,6):
current = battery.get_value(cycle=i,variable='current_A')
voltage = battery.get_value(cycle=i,variable='voltage_V')
temperature = battery.get_value(cycle=i,variable='temperature_C')
axs[0].plot(current)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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battery = Battery('../Batch-6/Sim_satellite_battery-1.mat')
cm = plt.cm.GnBu(np.linspace(0,1,battery.cycle_life))
sm = plt.cm.ScalarMappable(cmap='GnBu',norm=plt.Normalize(vmin=0,vmax=battery.cycle_life))

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电池寿命：949, 电池描述：Simulate satellite

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# 画容量退化曲线和退化轨迹
capacity = battery.get_capacity()
degradation_trajectory = battery.get_degradation_trajectory()
x = np.arange(len(capacity))
fig, ax = plt.subplots(figsize=(3, 1.5),dpi=200)
plt.plot(x,capacity,'--k',linewidth=0.1,alpha=0.6)
plt.scatter(x,capacity,c=cm,s=1,alpha=0.8)
plt.plot(degradation_trajectory,linewidth=1.5,alpha=0.5,c='#FF371B',label='Degradation Trajectory')
plt.xlabel('Cycle')
plt.ylabel('Capacity (Ah)')
plt.legend()
plt.show()

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# 在1*3的图中画出23个cycle的电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
count = 0
cycle = 2
cm = plt.cm.rainbow(np.linspace(0,1,40))
while count < 23:
description = battery.get_one_cycle_description(cycle=cycle)
if 'test capacity' in description:
cycle += 1
continue
current = battery.get_value(cycle=cycle,variable='current_A')
voltage = battery.get_value(cycle=cycle,variable='voltage_V')
temperature = battery.get_value(cycle=cycle,variable='temperature_C')
color = cm[count]
axs[0].plot(current,color=color)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Current (A)')
axs[1].plot(voltage,color=color)
axs[1].set_xlabel('Time (s)')
axs[1].set_ylabel('Voltage (V)')
axs[2].plot(temperature,color=color)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Temperature (C)')
count += 1
cycle += 1
plt.tight_layout()
plt.show()

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VOLTAGES_C = [] # 充电阶段电压
VOLTAGES_R = [] # 静置阶段电压
VOLTAGES_D = [] # 放电阶段电压
CURRENTS_C = []
CURRENTS_R = []
CURRENTS_D = []
TEMPERATURES_C = []
TEMPERATURES_R = []
TEMPERATURES_D = []
count = 0
cycle = 2
while count < 23:
description = battery.get_one_cycle_description(cycle=cycle)
if 'test capacity' in description:
cycle += 1
continue
voltage_c = battery.get_partial_value(cycle=cycle,variable='voltage_V',stage=1)
voltage_r = battery.get_partial_value(cycle=cycle,variable='voltage_V',stage=2)
voltage_d = battery.get_partial_value(cycle=cycle,variable='voltage_V',stage=3)
current_c = battery.get_partial_value(cycle=cycle,variable='current_A',stage=1)
current_r = battery.get_partial_value(cycle=cycle,variable='current_A',stage=2)
current_d = battery.get_partial_value(cycle=cycle,variable='current_A',stage=3)
temperature_c = battery.get_partial_value(cycle=cycle,variable='temperature_C',stage=1)
temperature_r = battery.get_partial_value(cycle=cycle,variable='temperature_C',stage=2)
temperature_d = battery.get_partial_value(cycle=cycle,variable='temperature_C',stage=3)
VOLTAGES_C.append(voltage_c[1:])
VOLTAGES_R.append(voltage_r)
VOLTAGES_D.append(voltage_d)
CURRENTS_C.append(current_c[1:])
CURRENTS_R.append(current_r)
CURRENTS_D.append(current_d)
TEMPERATURES_C.append(temperature_c[1:])
TEMPERATURES_R.append(temperature_r)
TEMPERATURES_D.append(temperature_d)
count += 1
cycle += 1
# 把voltage_c，voltage_r，voltage_d拼接起来得到voltage，并把voltage按照静置阶段的index对齐
INDEXS = []
VOLTAGES = []
CURRENTS = []
TEMPERATURES = []
for i in range(len(VOLTAGES_C)):
# 把voltage_c，voltage_r，voltage_d拼接起来得到voltage，并把voltage按照voltage_r的index对齐
voltage = np.concatenate((VOLTAGES_C[i],VOLTAGES_R[i],VOLTAGES_D[i]))
current = np.concatenate((CURRENTS_C[i],CURRENTS_R[i],CURRENTS_D[i]))
temperature = np.concatenate((TEMPERATURES_C[i],TEMPERATURES_R[i],TEMPERATURES_D[i]))
index = np.arange(len(voltage))
left_shift = len(VOLTAGES_C[i])
index = index - left_shift
VOLTAGES.append(voltage)
CURRENTS.append(current)
TEMPERATURES.append(temperature)
INDEXS.append(index)
# 在1*3的图中画出23个cycle的电压、电流、温度曲线
fig, axs = plt.subplots(1, 3, figsize=(9, 3),dpi=200)
for i in range(len(VOLTAGES)):
axs[0].plot(INDEXS[i],CURRENTS[i],linewidth=1.5,alpha=0.5,c=cm[i])
axs[1].plot(INDEXS[i],VOLTAGES[i],linewidth=1.5,alpha=0.5,c=cm[i])
axs[2].plot(INDEXS[i],TEMPERATURES[i],linewidth=1.5,alpha=0.5,c=cm[i])
axs[0].set_xlabel('Index')
axs[0].set_ylabel('Current (A)')
axs[1].set_xlabel('Index')
axs[1].set_ylabel('Voltage (V)')
axs[2].set_xlabel('Index')
axs[2].set_ylabel('Temperature (C)')
plt.tight_layout()
plt.show()

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