The invention relates to an electric vehicle thermal management method and system based on mileage prediction, and the method comprises the steps: collecting historical data related to the driving habits of a user as a training set, training a machine learning model through the training set, and obtaining a trained machine learning model, acquiring real-time data related to the driving habits of the user, predicting the driving mileage and time of the user by using the trained machine learning model, and performing energy-saving heat management on the battery according to the driving mileage and time of the user; the system comprises a prediction module, a control module and an energy-saving thermal management module. According to the invention, targeted battery optimization control for different clients can be realized, and effective thermal management of the battery is realized, so that the service life of the automobile battery is prolonged.
本发明涉及一种基于行驶里程预测的电动汽车热管理方法和系统,方法包括收集历史的用户行车习惯相关的数据作为训练集,使用所述训练集训练机器学习模型得到训练完成的机器学习模型,获取实时的用户行车习惯相关的数据并使用所述训练完成的机器学习模型预测用户将要行驶的里程和时间,根据所述用户将要行驶的里程和时间对电池进行节能热管理;系统包括预测模块、控制模块和节能热管理模块。本发明可以实现对不同客户的针对性的电池优化控制、实现对电池的有效热管理,从而延长汽车电池的使用寿命。
Electric vehicle thermal management method and system based on mileage prediction
基于行驶里程预测的电动汽车热管理方法和系统
07.03.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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