Research Article
An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning
Table 1
Super-mild HEV parameters.
| | Component | Parameters | Value |
| | Engine | Engine type | JL472Q1 | | Rated power, kW | 492.45 | | Maximum torque, N•m | 824.1 |
| | Motor | Rated power, kW | 5 | | Rated speed, r•min−1 | 1000 |
| | Battery | Rated capacity, A•h | 6.5 | | Rated voltage, V | 80 |
| | Transmission | Minimum gear ratio | 0.498 | | Maximum gear ratio | 4.04 | | PGT parameter | 3.875 | | Fixed gear ratio | 2.4704 |
| | Others | Final drive gear ratio | 4.4059 | | Motor reducing gear ratio | 1.5 |
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