Through the coordinated control of the internal combustion engine and the electric motor, hybrid power systems achieve real-time power distribution optimization, thereby enhancing fuel economy and mitigating harmful emissions. To elucidate the evolutionary trajectory of Energy Management Strategy (EMS), the paper systematically reviews recent research achievements based on a literature analysis method. Existing strategies are classified into 4 categories: rule-based, global optimization, multi-objective optimization, and machine learning. Based on specific cases, the control principles, optimization objectives, implementation conditions, and performance of each strategy are elucidated. Furthermore, this paper summarizes the development laws and technical bottlenecks through a comparative analysis and outlines future research directions, providing a valuable reference for technological innovation and sustainable development in the new energy vehicle industry.
| 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 |