基于 PID和模糊推理的集成热管理系统控制方法研究

热管理系统控制是实现高效热管理性能和低系统能耗的关键。利用AMESim搭建了纯电动汽车集成热管理系统模型，基于逻辑门限控制原理搭建了该系统的控制策略，针对压缩机转速控制分别采用了 PID和模糊推理的控制方法，以世界统一的重型商用车辆瞬态循环 （World Transient Vehicle Cycle，WTVC） 工况为基础，在不同环境条件下对模型进行仿真，对被控对象的温度响应和系统能效进行了分析。结果表明，基于并行状态的控制策略能满足各子系统制冷、制热及热舒适性的需求，模糊控制相较于传统PID具有更好的控制效果和能耗水平。

Research on Control Methods for Integrated Thermal Management System Based on PID and Fuzzy Interference

Efficient control of thermal management system is key to achieving optimal thermal management performance and minimizing the total system energy consumption. The paper presents an integrated thermal management system model for pure electric vehicles using AMESim, and the control strategy of the system is built based on the logic threshold control principle. Two different methods for controlling the compressor speed, namely PID control and fuzzy interference control, are adopted and compared. The model is simulated under different environmental conditions based on WTVC. The temperature response of the controlled object and the energy efficiency of the system are analyzed. The results show that the control strategy based on parallel states can meet the requirements for refrigeration, heating and thermal comfort of each subsystem. Compared with traditional PID, fuzzy control has better control effect and energy efficiency.