To optimize the performance of pure electric vehicles, ensure operational safety, and meet the intelligent development needs of new energy vehicles, this study combines electric vehicle performance evaluation indicators to determine key acquisition parameters such as battery voltage, current, State of Charge (SOC), motor speed, and temperature. By integrating vehicle CAN bus technology and GPRS wireless communication technology, a remote on-board information acquisition system with DSP2407 as the core processor is designed. This system can efficiently process and monitor the operational data of the vehicle's electronic control unit in real time. The acquired data can provide a quantitative basis for the assessment and evaluation of the electronic control unit, and offer precise data support for refining the overall vehicle control strategy. The integrated application of Internet of Vehicles technology and big data enables the system to have remote data transmission and analysis capabilities, filling the gaps in real-time performance and remote capabilities of traditional acquisition systems. This provides reliable hardware and data support for the technological upgrading of new energy smart vehicles.
| 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 |