|
|
@@ -96,7 +96,7 @@ class Liplated_test:
|
|
|
df_test_rest_volt_diff_temp = np.diff(df_rest_volt_smooth,axis=0)
|
|
|
df_test_rest_time_dif = pd.DataFrame(df_rest_time_dif_temp)
|
|
|
df_test_rest_volt_diff = pd.DataFrame(df_test_rest_volt_diff_temp)
|
|
|
- df_test_rest_volt_diffdt_temp = np.divide(df_test_rest_volt_diff,df_test_rest_time_dif)
|
|
|
+ df_test_rest_volt_diffdt_temp = np.divide(df_test_rest_volt_diff,df_test_rest_time_dif)#电压的一次微分
|
|
|
df_test_rest_volt_diffdt = pd.DataFrame(df_test_rest_volt_diffdt_temp)
|
|
|
df_test_rest_volt_diffdt = df_test_rest_volt_diffdt.append(df_test_rest_volt_diffdt.iloc[len(df_test_rest_volt_diffdt)-1])
|
|
|
df_test_rest_volt_diffdt.columns = cellvolt_list
|
|
|
@@ -117,12 +117,9 @@ class Liplated_test:
|
|
|
df_check_liplated_temp = df_rest_volt_diffdt.loc[df_rest_volt_diffdt['chrgr_rest'] == item].reset_index(drop = True)
|
|
|
df_lipltd_volt_temp = df_check_liplated_temp[cellvolt_list]
|
|
|
df_lipltd_volt_len = len(df_lipltd_volt_temp)
|
|
|
- df_data_temp_add = df_lipltd_volt_temp.iloc[df_lipltd_volt_len-4:df_lipltd_volt_len-1]
|
|
|
- df_lipltd_volt_temp_add = df_lipltd_volt_temp.append(df_data_temp_add)
|
|
|
- df_lipltd_volt_temp_dif = np.diff(df_lipltd_volt_temp_add,axis=0)#电压一次微分，计算dv/dt
|
|
|
- df_lipltd_volt_temp_dif = pd.DataFrame(df_lipltd_volt_temp_dif)
|
|
|
- df_lipltd_volt_temp_dif.columns = cellvolt_list
|
|
|
- df_lipltd_volt_temp_difdif = np.diff(df_lipltd_volt_temp_dif,axis=0)#电压二次微分，判断升降
|
|
|
+ df_data_temp_add = df_lipltd_volt_temp.iloc[df_lipltd_volt_len-3:df_lipltd_volt_len-1]
|
|
|
+ df_lipltd_volt_temp_dif = df_lipltd_volt_temp.append(df_data_temp_add)
|
|
|
+ df_lipltd_volt_temp_difdif = np.diff(df_lipltd_volt_temp_dif,axis=0)#电压二次微分，判断电压微分曲线上升沿或下降沿
|
|
|
df_lipltd_volt_temp_difdif = pd.DataFrame(df_lipltd_volt_temp_difdif)
|
|
|
df_lipltd_volt_temp_difdif.columns = cellvolt_list
|
|
|
df_lipltd_volt_temp_difdif_temp = df_lipltd_volt_temp_difdif
|
|
|
@@ -140,18 +137,22 @@ class Liplated_test:
|
|
|
peak_pos = np.where(df_check_plated_data == -2)
|
|
|
bot_pos = np.where(df_check_plated_data == 2)
|
|
|
if len(peak_pos[0]) & len(bot_pos[0]):
|
|
|
- peak_hight = df_lipltd_volt_temp_dif[cell_name][peak_pos[0][0] + 1] - df_lipltd_volt_temp_dif[cell_name][0]
|
|
|
- peak_bot_hight = df_lipltd_volt_temp_dif[cell_name][peak_pos[0][0] + 1] - df_lipltd_volt_temp_dif[cell_name][bot_pos[0][0] + 1]
|
|
|
- if (peak_pos[0][0] > bot_pos[0][0]) & (df_lipltd_volt_temp_dif[cell_name][peak_pos[0][0] + 1] < 0) & (peak_bot_hight > 0.2*peak_hight):
|
|
|
+ ini_dvdt = df_check_liplated_temp[cell_name][0]
|
|
|
+ peak_dvdt = df_check_liplated_temp[cell_name][peak_pos[0][0] + 1]
|
|
|
+ bot_dvdt = df_check_liplated_temp[cell_name][bot_pos[0][0] + 1]
|
|
|
+ peak_hight = peak_dvdt - ini_dvdt
|
|
|
+ peak_bot_hight = peak_dvdt - bot_dvdt
|
|
|
+ liplted_amount_temp = (df_check_liplated_temp['时间戳'][bot_pos[0][0] + 1] - df_check_liplated_temp['时间戳'][0])/pd.Timedelta(1, 'min')
|
|
|
+ if ((bot_pos[0][0] - peak_pos[0][0]) > 3) & (df_check_liplated_temp[cell_name][peak_pos[0][0] + 1] < 0) & (peak_bot_hight > 0.05*peak_hight) & (liplted_amount_temp > 15):
|
|
|
lipltd_confirm.append(1)#1为析锂，0为非析锂
|
|
|
- lipltd_amount.append((df_check_liplated_temp['时间戳'][bot_pos[0][0] + 2] - df_check_liplated_temp['时间戳'][0])/pd.Timedelta(1, 'min'))
|
|
|
+ lipltd_amount.append(liplted_amount_temp)
|
|
|
else:
|
|
|
lipltd_confirm.append(0)
|
|
|
lipltd_amount.append(0)
|
|
|
else:
|
|
|
lipltd_confirm.append(0)
|
|
|
lipltd_amount.append(0)
|
|
|
- if any(lipltd_confirm) & (max(lipltd_amount) > 5):
|
|
|
+ if any(lipltd_confirm):
|
|
|
df_lipltd_confir_temp = pd.DataFrame({"sn":[self.sn], "time":[df_check_liplated_temp['时间戳'][0]], "liplated":[str(lipltd_confirm)], "liplated_amount":[str(lipltd_amount)]})
|
|
|
df_lipltd_result = df_lipltd_result.append(df_lipltd_confir_temp)
|
|
|
df_lipltd_result = df_lipltd_result.reset_index(drop = True)
|
