An electric vehicle data collection module transmits electric vehicle data collected in real time to a deep learning charging adjustment platform for data processing and analysis, and an energy-saving charging module is optimized and adjusted according to a processing result of the deep learning charging adjustment platform; electricity collected by the energy-saving charging module is charged to the storage battery pack through the charging and discharging regulator, the storage battery pack transmits the electricity to an electric vehicle power transmission system through the charging and discharging regulator, and the terminal display screen displays electric vehicle charging and discharging data in real time. According to the electric vehicle power generation self-charging technology, on one hand, multiple modes for converting natural energy into electric energy are utilized, the electric vehicle is charged in combination with multiple modes, a new technology is introduced to serve as a management means, the efficiency for converting natural energy into electric energy is improved, and specific attributes of the electric vehicle are not considered for adjustment.
本发明电动车数据收集模块把实时收集到的电动车数据传送到深度学习充电调整平台进行数据处理及分析,根据深度学习充电调整平台处理的结果对节能充电模块进行优化调整;节能充电模块收集到的电经过充放电调节器充到蓄电池组,蓄电组经过充放电调节器传输到电动车动力传动系统,终端显示屏实时显示电动车充放电数据;此方法电动车发电自充电技术一方面利用自然能转换电能方式多,结合多种方式对电动车充电,并引进新的技术作为一种管理手段,对自然能转换成电能效率提高,缺少对电动车特有属性进行考虑去调整。
Electric vehicle power generation self-charging system based on deep learning
一种基于深度学习的电动车发电自充电系统
25.07.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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