A thermal management system of an electric vehicle and a method of operating the same are provided that apply supervised learning to obtain an optimal balance between user comfort and a driving routine. The AI-based control method generates a final control component output that operates the thermal management system with minimum energy consumption and maximum COP in consideration of user conditions for travel speed, cabin temperature, and selected travel route. A continuously efficient electric vehicle thermal management system is provided having a thermal system including a refrigerant circuit and/or a coolant circuit, and a control member. The control component applies a data-driven supervised learning model in combination with a control optimization that provides an optimal control setpoint to standard underlying control.
提供一种电动车辆的热管理系统及其运行方法,应用监督学习来获取用户舒适性和行驶例程之间的最优平衡。基于AI的控制方法考虑用户对行驶速度、车室温度以及所选择的行驶路线的条件,生成以最小的能耗和最大的COP运行热管理系统的最终控制构件输出。提供持续高效的电动汽车热管理系统,其具有包括制冷剂回路和/或冷却液回路的热系统,以及控制构件。控制构件将数据驱动的监督学习模型与向标准下层控制提供最优控制设定点的控制优化结合应用。
Thermal management system of electric vehicle and operation method of thermal management system
电动车辆的热管理系统及该热管理系统的运行方法
2025-01-24
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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