Research Article
Driving Profile Optimization Using a Deep Q-Network to Enhance Electric Vehicle Battery Life
| Group | Kind | Value |
| Vehicle | Equivalent test weight | 1,814 kg | Front area | 2.00 m2 | Drag coefficient | 0.29 | L/W/H | 4.18/1.8/1.55 m | Gear ratio (single gear) | 7.981 |
| Electric motor | Electric motor type | IPMSM | Max power | 150 kW | Max torque | 395 N.m (40.27 kg.m) | Max rotational speed | 11,200 rpm | Cold method | Water cooled |
| Tire | Aspect ratio | 55 | Radius | 334.15 mm | Tire pressure | 33 psi |
| Battery | Voltage | 356 V | Capacity | 180 Ah | Energy | 64 kWh |
| Environment | Temperature | 15°C | Gradient | 0 rad | Air density | 1.2 kg/m2 |
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