#880 fixed tests

pybamm-team · Mar 30, 2020 · 7e66610 · 7e66610
1 parent 053ab3d
commit 7e66610
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Showing 3 changed files with 9 additions and 9 deletions.
diff --git a/pybamm/parameters/standard_parameters_lead_acid.py b/pybamm/parameters/standard_parameters_lead_acid.py
@@ -171,13 +171,14 @@
 
 
 def t_plus(c_e):
-    "Dimensionless transference number (i.e. c_e is dimensional)"
-    return pybamm.FunctionParameter("Cation transference number", c_e * c_e_typ)
+    "Dimensionless transference number (i.e. c_e is dimensionless)"
+    inputs = {"Electrolyte concentration [mol.m-3]": c_e * c_e_typ}
+    return pybamm.FunctionParameter("Cation transference number", inputs)
 
 
 def D_e_dimensional(c_e, T):
     "Dimensional diffusivity in electrolyte"
-    inputs = {"Electrolyte concentration [mol.m-3": c_e}
+    inputs = {"Electrolyte concentration [mol.m-3]": c_e}
     return pybamm.FunctionParameter("Electrolyte diffusivity [m2.s-1]", inputs)
 
 

diff --git a/pybamm/parameters/standard_parameters_lithium_ion.py b/pybamm/parameters/standard_parameters_lithium_ion.py
@@ -373,11 +373,14 @@ def U_p_dimensional(sto, T):
 
 
 def t_plus(c_e):
-    return pybamm.FunctionParameter("Cation transference number", c_e)
+    "Dimensionless transference number (i.e. c_e is dimensionless)"
+    inputs = {"Electrolyte concentration [mol.m-3]": c_e * c_e_typ}
+    return pybamm.FunctionParameter("Cation transference number", inputs)
 
 
 def one_plus_dlnf_dlnc(c_e):
-    return pybamm.FunctionParameter("1 + dlnf/dlnc", c_e)
+    inputs = {"Electrolyte concentration [mol.m-3]": c_e * c_e_typ}
+    return pybamm.FunctionParameter("1 + dlnf/dlnc", inputs)
 
 
 beta_surf = pybamm.Scalar(0)

diff --git a/tests/integration/test_models/test_full_battery_models/test_lithium_ion/test_spme.py b/tests/integration/test_models/test_full_battery_models/test_lithium_ion/test_spme.py
@@ -8,10 +8,6 @@
 import unittest
 
 
-pybamm.set_logging_level("DEBUG")
-pybamm.settings.debug_mode = True
-
-
 class TestSPMe(unittest.TestCase):
     def test_basic_processing(self):
         options = {"thermal": "isothermal"}