The invention relates to the technical field of new energy automobile power lithium batteries, in particular to a power battery monitoring and protecting method and system based on deep learning and nitrogen protection. Nitrogen protection is applied to safety protection of the power lithium battery of the new energy automobile, fire disasters are prevented, and the safety performance of the power lithium battery of the new energy automobile in the driving process is improved. By detecting the oxygen concentration, the air pressure, the temperature and the humidity of the battery box where the battery is located, nitrogen charging operation is conducted in time, and the battery is made to be in the environment without combustion and explosion conditions. Based on historical detection data, the neural network is constructed to perform model training so as to predict the battery state, nitrogen generation and nitrogen storage can be prepared in advance, normal operation of nitrogen charging is ensured, and safety is further improved.
本发明涉及新能源汽车动力锂电池技术领域,更具体的,涉及基于深度学习和氮气保护的动力电池监测保护方法、系统。本发明将氮气保护应用于新能源汽车动力锂电池的安全防护,防止火灾发生,提高了新能源汽车动力锂电池在行驶过程中的安全性能。本发明通过对电池所处的电池箱氧气浓度、气压、温度、湿度进行检测,及时进行充氮操作,使电池处于不具备燃烧和爆炸条件的环境中。本发明基于历史检测数据,构建神经网络进行模型训练以预测电池状态,可提前制氮、储氮进行准备,保证充氮的正常运行,进一步提供安全性。
Power battery monitoring protection method and system based on deep learning and nitrogen protection
基于深度学习和氮气保护的动力电池监测保护方法、系统
14.03.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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