To optimize the fuel economy and auxiliary power battery performance of hydrogen fuel cell hybrid vehicles, this article proposed an energy management strategy based on Twin Delayed Deep Deterministic policy gradient with Prioritized Experience Replay (TD3-PER). Adopting the Twin Delayed Deep Deterministic policy gradient (TD3) algorithm, it achieves more accurate continuous control while preventing training over estimation. By combining the Prioritized Experience Replay (PER) algorithm, the training of the strategy is accelerated while achieving better optimization performance. The simulation results show that compared with the Deep Deterministic Policy Gradient (DDPG) algorithm, the proposed TD3-PER energy management strategy reduces hydrogen consumption by 5.47% per 100 kilometers and average power fluctuation by 6.49%.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |