基于PID与模糊控制的汽车集成热管理系统研究

Research on automotive integrated thermal management system based on PID and fuzzy control

针对锂电池在快充等场景,自然冷却通常难以保证电池温度工作在合适范围,极易造成电池温度过高甚至热失控.提出针对不同工况下的热管理系统集成方案,并通过AMESim搭建整车热管理系统模型,以空调系统压缩机转速为调节量,根据反馈的电池温度,采用PID控制与模糊控制两种方法分别对压缩机转速进行调节,并以夏季高温以及激烈驾驶工况US06作为测试工况,对被控目标的温度变化进行分析,结果表明所设计的热管理集成方式及控制策略能够满足各子系统制冷需求,模糊控制比PID控制能够获得更好的控制效果.

For lithium batteries in fast charging and other scenarios,natural cooling is usually difficult to ensure that the battery temperature is working in the appropriate range,which is very likely to cause the battery temperature is too high or even thermal runaway.The thermal management system integration scheme for different working conditions is proposed,and the vehicle thermal management system model is constructed by AMESim,the compressor speed of the air conditioning system is taken as the regulating quantity,and the compressor speed is regulated by PID control and fuzzy control according to the feedback battery temperature,and the temperature change of the controlled target is analysed by using the high temperature in su mmer and the intense driving condition US06 as the testing condition.The results show that the designed thermal management integration method and control strategy can meet the cooling requirements of each subsystem,and the fuzzy control can obtain better control effect than PID control.