cellpy.utils.batch_tools.batch_analyzers

Module Contents

Classes

BaseSummaryAnalyzer
EISAnalyzer
ICAAnalyzer
OCVRelaxationAnalyzer	Analyze open curcuit relaxation curves.

class BaseSummaryAnalyzer

Bases: cellpy.utils.batch_tools.batch_core.BaseAnalyzer

class EISAnalyzer

Bases: cellpy.utils.batch_tools.batch_core.BaseAnalyzer

class ICAAnalyzer

Bases: cellpy.utils.batch_tools.batch_core.BaseAnalyzer

class OCVRelaxationAnalyzer

Bases: cellpy.utils.batch_tools.batch_core.BaseAnalyzer

Analyze open curcuit relaxation curves.

This analyzer is still under development. (Partly) implented so far: select_ocv_points -> farms. To get the DataFrames from the farms, you can use >>> ocv_point_frames = OCVRelaxationAnalyzer.last

selection_method

criteria for selecting points (martin: select first and last, and then last/2, last/2/2 etc. until you have reached the wanted number of points; fixed_time: select first, and same interval; defaults to “martin”)

number_of_points

number of points you want. defaults to 5

interval

interval between each point (in use only for methods where interval makes sense). If it is a list, then number_of_points will be calculated as len(interval) + 1 (and override the set number_of_points). defaults to 10

relative_voltage

set to True if you would like the voltage to be relative to the voltage before starting the ocv rlx step. Defaults to False. Remark that for the initial rxl step (when you just have put your cell on the tester) does not have any prior voltage. The relative voltage will then be versus the first measurement point. defaults to False

report_times

also report the ocv rlx total time if True (defaults to False)

direction

select “up” if you would like to process only the ocv rlx steps where the voltage is relaxing upwards and vize versa. Defaults to “both

Type:

“up”, “down” or “both”

Notes

This analyzer is not working as intended yet. Todos:

• include better engine-dumper methodology and dump stuff to both memory and file(s) (should add this to BaseAnalyser)

• recieve settings and parameters

• option (dumper) for plotting?

• automatic fitting of OCV rlx data?

property dframe: pandas.DataFrame

property last: list

do()

do2()

ocv_points_engine(**kwargs)

run_dumper(dumper)

run_engine(engine)

screen_dumper(**kwargs)