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### Range Estimation for Electric Vehicle
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<td class="image-column" width=400><img src="Overview/Image/BatteryElectricVehicleModelOverview_01.png" alt="BEV system model canvas"></td>
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<td class="text-column" width=200> </td>
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<td class="text-column" width=300>Estimate the on-road range of the vehicle. Run drive cycles with different ambient conditions to determine the range of the vehicle with a given capacity. See <strong><a href="Workflow/Vehicle/RangeEstimation/README.md">Workflow/Vehicle/RangeEstimation</a></strong>.</td>
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<td class="text-column" width=600>Size your high-voltage (HV) battery pack to achieve your desired range. You will learn how to simulate battery packs with different capacities and weights, and compare them based on how these factors affect the range of the vehicle. See <strong><a href="Workflow/Battery/BatterySizing/README.md">Workflow/Battery/BatterySizing</a></strong>.</td>
<td class="text-column" width=300>Run the thermal test bench over extended duty cycles at multiple coolant sump temperatures to assess winding and magnet thermal margins See <strong><a href="Workflow/MotorDrive/ThermalDurability/README.md">Workflow/MotorDrive/ThermalDurability</a></strong>.</td>
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<td class="text-column" width=300>Generate copper, iron, IGBT, and diode loss maps by sweeping the FOC-controlled PMSM across speed, torque, and temperature points. See <strong><a href="Workflow/MotorDrive/GenerateMotInvLoss/README.md">Workflow/MotorDrive/GenerateMotInvLoss</a></strong>.</td>
<td class="text-column" width=300>Capture IGBT and diode junction temperatures from drive-cycle simulations, apply rainflow cycle counting, and estimate semiconductor lifetime. See <strong><a href="Workflow/MotorDrive/GenerateMotInvLoss/README.md">Workflow/MotorDrive/GenerateMotInvLoss</a></strong>.</td>
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<td class="text-column" width=300>Sweep candidate gear ratios over EUDC and US06 cycles on the thermal test bench and compare magnet and winding temperatures to find the best ratio. See <strong><a href="Workflow/MotorDrive/GearRatioSelect/README.md">Workflow/MotorDrive/GearRatioSelect</a></strong>.</td>
<td class="text-column" width=300>Train a neural network to predict battery cell temperature from current, voltage, and SOC inputs. A pre-trained model is included for verification. See <strong><a href="Workflow/Battery/VirtualSensorNeuralNetModel/README.md">Workflow/Battery/VirtualSensorNeuralNetModel</a></strong>.</td>
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