The invention relates to an electric vehicle battery pack charging and cooling process planning method, and the method comprises the following steps of 1) forming an initial charging and cooling process design scheme and performing a test to determine target parameters to form a training data set; 2) constructing three neural network regression sub-models taking the three target parameters as output based on the training data set; 3) training neural network regression sub-models respectively; 4) performing target parameter prediction on the extended charging cooling process design scheme by using the trained neural network regression sub-model; 5) screening in the expanded charging cooling process design scheme based on the target parameter requirement and the charging rate to obtain an optimal scheme; 6) verifying the optimal scheme, and applying the optimal scheme to an actual driving use process. Compared with the prior art, the method can improve the cooling efficiency of the battery pack thermal management system; while the charging speed is ensured, the temperature distribution uniformity among battery pack single bodies is ensured, and the power consumption in the cooling process is controlled.
本发明涉及一种电动汽车电池组充电‑冷却过程规划方法,包括以下步骤:1)形成初始的充电‑冷却过程设计方案并进行试验测定目标参数,形成训练数据集;2)基于训练数据集分别构建以三个目标参数作为输出的三个神经网络回归子模型;3)分别进行神经网络回归子模型的训练;4)利用训练好的神经网络回归子模型对扩展的充电‑冷却过程设计方案进行目标参数预测;5)基于目标参数要求和充电速率在扩展的充电‑冷却过程设计方案中筛选得到最优方案;6)验证最优方案,并将其应用于实际行车使用过程。与现有技术相比,本发明能够改善电池组热管理系统的冷却效率,在保证充电速度的同时确保电池组单体间温度分布均匀性,并使冷却过程功耗得到控制。
Electric vehicle battery pack charging-cooling process planning method
一种电动汽车电池组充电-冷却过程规划方法
2021-02-05
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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