The invention discloses a new energy automobile intelligent battery management system based on deep learning. The new energy automobile intelligent battery management system comprises a data acquisition module, a data preprocessing module, a feature extraction module, a battery remaining life prediction model building module and a battery remaining life prediction module. The invention relates to the technical field of intelligent battery management, in particular to a new energy automobile intelligent battery management system based on deep learning, which is characterized in that gradient clipping is carried out when a weight and a threshold value of a long and short-term memory network model are updated, and the model parameter gradient and all gradient norms of a loss function are calculated; the norm of the gradient is compared with a preset threshold value, the gradient is cut, and it is guaranteed that the gradient is within a controllable range, so that model gradient explosion is prevented, and stability and convergence are improved.
本发明公开了一种基于深度学习的新能源汽车智能电池管理系统,包括数据采集模块、数据预处理模块、特征提取模块、构建电池剩余寿命预测模型模块和电池剩余寿命预测模块。本发明涉及智能电池管理技术领域,具体是指一种基于深度学习的新能源汽车智能电池管理系统,本发明在长短期记忆网络模型更新权重和阈值时进行梯度裁剪,通过计算损失函数对模型参数的梯度和所有梯度的范数,对比梯度的范数和预先设置的阈值,对梯度进行裁剪,保证梯度大小在可控的范围内,从而防止模型梯度爆炸、提高稳定性和收敛性。
New energy automobile intelligent battery management system based on deep learning
一种基于深度学习的新能源汽车智能电池管理系统
2024-01-30
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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