def testUnderPowered(self, plot_results=False):
mdl = goodVehicle()
mdl["vehicle"]["p_rated"] = 50
experiment = Experiment(mdl)
mdl = experiment.run()
print("DRIVEABILITY: \n%s" % experiment.driveability_report())
self._compare_exp_results(mdl["cycle"], "unpower1", self.run_comparison)
mdl = goodVehicle()
veh = mdl["vehicle"]
veh["test_mass"] = 1000
veh["unladen_mass"] = veh["test_mass"] - driver_weight
veh["p_rated"] = 80
veh["v_max"] = 120
veh["gear_ratios"] = [120.5, 95, 72, 52]
experiment = Experiment(mdl)
mdl = experiment.run()
print("DRIVEABILITY: \n%s" % experiment.driveability_report())
self._compare_exp_results(mdl["cycle"], "unpower2", self.run_comparison)
if plot_results:
self._plotResults(mdl)
plt.show()
def testGoodVehicle(self, plot_results=False):
logging.getLogger().setLevel(logging.DEBUG)
mdl = goodVehicle()
experiment = Experiment(mdl)
mdl = experiment.run()
self.assertTrue("cycle" in mdl, 'No result "cycle" in Model: %s' % mdl)
print("DRIVEABILITY: \n%s" % experiment.driveability_report())
cycle = mdl["cycle"]
gears = cycle["gears"]
print(
"G1: %s, G2: %s"
% (np.count_nonzero(gears == 1), np.count_nonzero(gears == 2))
)
self._compare_exp_results(cycle, "goodveh", self.run_comparison)
if plot_results:
print(mdl["cycle"])
# print([get_wltc_data()['classes']['class3b']['cycle'][k] for k in mdl['cycle']['driveability_issues'].keys()])
self._plotResults(mdl)
np.set_printoptions(edgeitems=16)
# print(driveability_issues)
# print(v_max)
# results['target'] = []; print(results)
plt.show()
