def test_init(self):
# both 'LiCoO2' and "FeF3" are using Li+ as working ion; MnO2 is for the multivalent Mg2+ ion
formulas = ['LiCoO2', "FeF3", "MnO2"]
expected_properties = {}
expected_properties['LiCoO2'] = {'average_voltage': 2.26940307125,
'capacity_grav': 903.19752911225669,
'capacity_vol': 2903.35804724,
'specific_energy': 2049.7192465127678,
'energy_density': 6588.8896693479574}
expected_properties['FeF3'] = {'average_voltage': 3.06179925889,
'capacity_grav': 601.54508701578118,
'capacity_vol': 2132.2069115142394,
'specific_energy': 1841.8103016131706,
'energy_density': 6528.38954147}
expected_properties['MnO2'] = {'average_voltage': 1.7127027687901726,
'capacity_grav': 790.9142070034802,
'capacity_vol': 3543.202003526853,
'specific_energy': 1354.6009522103434,
'energy_density': 6068.451881823329}
for f in formulas:
with open(os.path.join(test_dir, f + "_batt.json"), 'r') as fid:
entries = json.load(fid, cls=MontyDecoder)
#entries = computed_entries_from_json(fid.read())
# with open(os.path.join(test_dir, f + "_batt.json"), 'w') as fid:
#json.dump(entries, fid, cls=MontyEncoder)
if f in ['LiCoO2', "FeF3"]:
working_ion = "Li"
elif f in ["MnO2"]:
working_ion = "Mg"
c = ConversionElectrode.from_composition_and_entries(
Composition(f), entries,working_ion_symbol=working_ion)
self.assertEqual(len(c.get_sub_electrodes(True)), c.num_steps)
self.assertEqual(len(c.get_sub_electrodes(False)),
sum(range(1, c.num_steps + 1)))
self.assertIsNotNone(str(c))
p = expected_properties[f]
for k, v in p.items():
self.assertAlmostEqual(getattr(c, "get_" + k).__call__(), v, 2)
self.assertIsNotNone(c.get_summary_dict(True))
#Test pair to dict
pair = c.voltage_pairs[0]
d = pair.as_dict()
pair2 = ConversionVoltagePair.from_dict(d)
for prop in ['voltage', 'mass_charge', 'mass_discharge']:
self.assertEqual(getattr(pair, prop), getattr(pair2, prop), 2)
#Test
d = c.as_dict()
electrode = ConversionElectrode.from_dict(d)
for k, v in p.items():
self.assertAlmostEqual(getattr(electrode,
"get_" + k).__call__(), v, 2)
def test_init(self):
# both 'LiCoO2' and "FeF3" are using Li+ as working ion; MnO2 is for the multivalent Mg2+ ion
formulas = ['LiCoO2', "FeF3", "MnO2"]
expected_properties = {}
expected_properties['LiCoO2'] = {'average_voltage': 2.26940307125,
'capacity_grav': 903.19752911225669,
'capacity_vol': 2903.35804724,
'specific_energy': 2049.7192465127678,
'energy_density': 6588.8896693479574}
expected_properties['FeF3'] = {'average_voltage': 3.06179925889,
'capacity_grav': 601.54508701578118,
'capacity_vol': 2132.2069115142394,
'specific_energy': 1841.8103016131706,
'energy_density': 6528.38954147}
expected_properties['MnO2'] = {'average_voltage': 1.7127027687901726,
'capacity_grav': 790.9142070034802,
'capacity_vol': 3543.202003526853,
'specific_energy': 1354.6009522103434,
'energy_density': 6068.451881823329}
for f in formulas:
with open(os.path.join(test_dir, f + "_batt.json"), 'r') as fid:
entries = json.load(fid, cls=MontyDecoder)
#entries = computed_entries_from_json(fid.read())
# with open(os.path.join(test_dir, f + "_batt.json"), 'w') as fid:
#json.dump(entries, fid, cls=MontyEncoder)
if f in ['LiCoO2', "FeF3"]:
working_ion = "Li"
elif f in ["MnO2"]:
working_ion = "Mg"
c = ConversionElectrode.from_composition_and_entries(
Composition(f), entries,working_ion_symbol=working_ion)
self.assertEqual(len(c.get_sub_electrodes(True)), c.num_steps)
self.assertEqual(len(c.get_sub_electrodes(False)),
sum(range(1, c.num_steps + 1)))
self.assertIsNotNone(str(c))
p = expected_properties[f]
for k, v in p.items():
self.assertAlmostEqual(getattr(c, "get_" + k).__call__(), v, 2)
self.assertIsNotNone(c.get_summary_dict(True))
#Test pair to dict
pair = c.voltage_pairs[0]
d = pair.as_dict()
pair2 = ConversionVoltagePair.from_dict(d)
for prop in ['voltage', 'mass_charge', 'mass_discharge']:
self.assertEqual(getattr(pair, prop), getattr(pair2, prop), 2)
#Test
d = c.as_dict()
electrode = ConversionElectrode.from_dict(d)
for k, v in p.items():
self.assertAlmostEqual(getattr(electrode,
"get_" + k).__call__(), v, 2)
def test_init(self):
formulas = ['LiCoO2', "FeF3"]
expected_properties = {}
expected_properties['LiCoO2'] = {
'average_voltage': 2.26940307125,
'capacity_grav': 903.19752911225669,
'capacity_vol': 2903.35804724,
'specific_energy': 2049.7192465127678,
'energy_density': 6588.8896693479574
}
expected_properties['FeF3'] = {
'average_voltage': 3.06179925889,
'capacity_grav': 601.54508701578118,
'capacity_vol': 2132.2069115142394,
'specific_energy': 1841.8103016131706,
'energy_density': 6528.38954147
}
for f in formulas:
with open(os.path.join(test_dir, f + "_batt.json"), 'r') as fid:
entries = json.load(fid, cls=MontyDecoder)
#entries = computed_entries_from_json(fid.read())
# with open(os.path.join(test_dir, f + "_batt.json"), 'w') as fid:
#json.dump(entries, fid, cls=MontyEncoder)
c = ConversionElectrode.from_composition_and_entries(
Composition(f), entries)
self.assertEqual(len(c.get_sub_electrodes(True)), c.num_steps)
self.assertEqual(len(c.get_sub_electrodes(False)),
sum(range(1, c.num_steps + 1)))
self.assertIsNotNone(str(c))
p = expected_properties[f]
for k, v in p.items():
self.assertAlmostEqual(getattr(c, "get_" + k).__call__(), v, 2)
self.assertIsNotNone(c.get_summary_dict(True))
#Test pair to dict
pair = c.voltage_pairs[0]
d = pair.as_dict()
pair2 = ConversionVoltagePair.from_dict(d)
for prop in ['voltage', 'mass_charge', 'mass_discharge']:
self.assertEqual(getattr(pair, prop), getattr(pair2, prop), 2)
#Test
d = c.as_dict()
electrode = ConversionElectrode.from_dict(d)
for k, v in p.items():
self.assertAlmostEqual(
getattr(electrode, "get_" + k).__call__(), v, 2)
def test_init(self):
formulas = ['LiCoO2', "FeF3"]
expected_properties = {}
expected_properties['LiCoO2'] = {'average_voltage': 2.26940307125,
'capacity_grav': 903.19752911225669,
'capacity_vol': 2903.35804724,
'specific_energy': 2049.7192465127678,
'energy_density': 6588.8896693479574}
expected_properties['FeF3'] = {'average_voltage': 3.06179925889,
'capacity_grav': 601.54508701578118,
'capacity_vol': 2132.2069115142394,
'specific_energy': 1841.8103016131706,
'energy_density': 6528.38954147}
for f in formulas:
with open(os.path.join(test_dir, f + "_batt.json"), 'r') as fid:
entries = json.load(fid, cls=PMGJSONDecoder)
#entries = computed_entries_from_json(fid.read())
# with open(os.path.join(test_dir, f + "_batt.json"), 'w') as fid:
#json.dump(entries, fid, cls=PMGJSONEncoder)
c = ConversionElectrode.from_composition_and_entries(
Composition(f),
entries)
self.assertEqual(len(c.get_sub_electrodes(True)), c.num_steps)
self.assertEqual(len(c.get_sub_electrodes(False)),
sum(xrange(1, c.num_steps + 1)))
self.assertIsNotNone(str(c))
p = expected_properties[f]
for k, v in p.items():
self.assertAlmostEqual(getattr(c, "get_" + k).__call__(), v, 2)
self.assertIsNotNone(c.get_summary_dict(True))
#Test pair to dict
pair = c.voltage_pairs[0]
d = pair.to_dict
pair2 = ConversionVoltagePair.from_dict(d)
for prop in ['voltage', 'mass_charge', 'mass_discharge']:
self.assertEqual(getattr(pair, prop), getattr(pair2, prop), 2)
#Test
d = c.to_dict
electrode = ConversionElectrode.from_dict(d)
for k, v in p.items():
self.assertAlmostEqual(getattr(electrode,
"get_" + k).__call__(), v, 2)
def test_init(self):
# both 'LiCoO2' and "FeF3" are using Li+ as working ion; MnO2 is for the multivalent Mg2+ ion
for f in self.formulas:
c = self.conversion_eletrodes[f]["CE"]
self.assertEqual(len(c.get_sub_electrodes(True)), c.num_steps)
self.assertEqual(len(c.get_sub_electrodes(False)),
sum(range(1, c.num_steps + 1)))
self.assertIsNotNone(str(c))
p = self.expected_properties[f]
for k, v in p.items():
self.assertAlmostEqual(getattr(c, "get_" + k).__call__(), v, 2)
self.assertIsNotNone(c.get_summary_dict(True))
# Test pair to dict
pair = c.voltage_pairs[0]
d = pair.as_dict()
pair2 = ConversionVoltagePair.from_dict(d)
for prop in ["voltage", "mass_charge", "mass_discharge"]:
self.assertEqual(getattr(pair, prop), getattr(pair2, prop), 2)
# Test
d = c.as_dict()
electrode = ConversionElectrode.from_dict(d)
for k, v in p.items():
self.assertAlmostEqual(
getattr(electrode, "get_" + k).__call__(), v, 2)
def conversion_elec(test_dir):
conversion_eletrodes = {}
entries_LCO = loadfn(test_dir / "LiCoO2_batt.json")
c = ConversionElectrode.from_composition_and_entries(
Composition("LiCoO2"), entries_LCO, working_ion_symbol="Li")
conversion_eletrodes["LiCoO2"] = {
"working_ion": "Li",
"CE": c,
"entries": entries_LCO,
}
expected_properties = {
"LiCoO2": {
"average_voltage": 2.26940307125,
"capacity_grav": 903.19752911225669,
"capacity_vol": 2903.35804724,
"energy_grav": 2049.7192465127678,
"energy_vol": 6588.8896693479574,
}
}
return {
k: (conversion_eletrodes[k], expected_properties[k])
for k in conversion_eletrodes.keys()
}
def setUp(self):
entry_Li = ComputedEntry("Li", -1.90753119)
with open(os.path.join(test_dir, "LiTiO2_batt.json"), "r") as f:
entries_LTO = json.load(f, cls=MontyDecoder)
self.ie_LTO = InsertionElectrode.from_entries(
entries_LTO, entry_Li)
with open(os.path.join(test_dir, "FeF3_batt.json"), "r") as fid:
entries = json.load(fid, cls=MontyDecoder)
self.ce_FF = ConversionElectrode.from_composition_and_entries(
Composition("FeF3"), entries)
def testName(self):
entry_Li = ComputedEntry("Li", -1.90753119)
with open(os.path.join(test_dir, "LiTiO2_batt.json"), "r") as f:
entries_LTO = json.load(f, cls=MontyDecoder)
ie_LTO = InsertionElectrode(entries_LTO, entry_Li)
with open(os.path.join(test_dir, "FeF3_batt.json"), 'r') as fid:
entries = json.load(fid, cls=MontyDecoder)
ce_FF = ConversionElectrode.from_composition_and_entries(
Composition("FeF3"), entries)
plotter = VoltageProfilePlotter(xaxis="frac_x")
plotter.add_electrode(ie_LTO, "LTO insertion")
plotter.add_electrode(ce_FF, "FeF3 conversion")
self.assertIsNotNone(plotter.get_plot_data(ie_LTO))
self.assertIsNotNone(plotter.get_plot_data(ce_FF))
def testName(self):
entry_Li = ComputedEntry("Li", -1.90753119)
with open(os.path.join(test_dir, "LiTiO2_batt.json"), "r") as f:
entries_LTO = json.load(f, cls=MontyDecoder)
ie_LTO = InsertionElectrode(entries_LTO, entry_Li)
with open(os.path.join(test_dir, "FeF3_batt.json"), 'r') as fid:
entries = json.load(fid, cls=MontyDecoder)
ce_FF = ConversionElectrode.from_composition_and_entries(
Composition("FeF3"),
entries)
plotter = VoltageProfilePlotter(xaxis="frac_x")
plotter.add_electrode(ie_LTO, "LTO insertion")
plotter.add_electrode(ce_FF, "FeF3 conversion")
self.assertIsNotNone(plotter.get_plot_data(ie_LTO))
self.assertIsNotNone(plotter.get_plot_data(ce_FF))
def from_composition_and_entries(
cls,
composition: Composition,
entries: List[ComputedEntry],
working_ion_symbol: str,
task_id: Union[MPID, int],
):
ce = ConversionElectrode.from_composition_and_entries(
comp=composition,
entries_in_chemsys=entries,
working_ion_symbol=working_ion_symbol,
)
d = ce.get_summary_dict()
d["num_steps"] = d.pop("nsteps", None)
d["last_updated"] = datetime.utcnow()
return cls(task_id=task_id,
framework=Composition(d["framework_formula"]),
**d)
def setUp(self):
self.formulas = ["LiCoO2", "FeF3", "MnO2"]
self.conversion_eletrodes = {}
for f in self.formulas:
with open(
os.path.join(PymatgenTest.TEST_FILES_DIR,
f + "_batt.json")) as fid:
entries = json.load(fid, cls=MontyDecoder)
if f in ["LiCoO2", "FeF3"]:
working_ion = "Li"
elif f in ["MnO2"]:
working_ion = "Mg"
c = ConversionElectrode.from_composition_and_entries(
Composition(f), entries, working_ion_symbol=working_ion)
self.conversion_eletrodes[f] = {
"working_ion": working_ion,
"CE": c
}
self.expected_properties = {
"LiCoO2": {
"average_voltage": 2.26940307125,
"capacity_grav": 903.19752911225669,
"capacity_vol": 2903.35804724,
"specific_energy": 2049.7192465127678,
"energy_density": 6588.8896693479574,
},
"FeF3": {
"average_voltage": 3.06179925889,
"capacity_grav": 601.54508701578118,
"capacity_vol": 2132.2069115142394,
"specific_energy": 1841.8103016131706,
"energy_density": 6528.38954147,
},
"MnO2": {
"average_voltage": 1.7127027687901726,
"capacity_grav": 790.9142070034802,
"capacity_vol": 3543.202003526853,
"specific_energy": 1354.6009522103434,
"energy_density": 6068.451881823329,
},
}
