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Outline
An adaptive regenerative braking control method based on multi-source information fusion is proposed to address the fixed recovery intensity of conventional electric vehicles, insufficient adaptability to complex conditions and degraded deceleration consistency when battery recovery capability is limited. Navigation speed limits, preceding and multiple dynamic targets, road grade, road-surface state and available battery recovery power are integrated in a perception-decision-execution architecture. Signal validity judgment, dynamic regenerative torque calculation and electro-hydraulic compensation are then designed. The hydraulic compensation is activated only when the available battery recovery power cannot meet the deceleration demand, thereby improving redundancy and deceleration consistency. Road tests on the Voyah Dreamer vehicle model show that the proposed method improves energy consumption by 4.02%, reduces braking frequency by 44.64%, and limits deceleration fluctuation within ±0.02 g under multi-speed-limit and mildly congested conditions. The method improves energy economy and drivability while maintaining vehicle safety.
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| 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 |
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