基于模糊PID法的整车空调制热能力优化

Optimization of Heating Capacity for Vehicle Air Conditioning Based on Fuzzy PID Method

本文旨在解决某车型在严寒天气下空调制热不足的问题。通过理论计算和分析,确认了与制热相关的主要零部件的选型匹配是否合理,排除了设计问题。随后,通过对实车进行故障再现并采集过程报文数据,分析结果确认空调系统在目标水温控制过程中使用的控制方法不合理,无法充分发挥空调制热的能力,是反馈问题的主要原因。为解决此问题,经过对控制方法的对标和研究,决定采用模糊PID控制方法作为空调目标水温的控制方法,并通过多次实车标定确定了各模糊PID控制方法的控制参数。将这些控制方法固化到软件中后,通过实车测试验证,最终提升了整车的空调制热性能,满足了在严寒天气下的使用要求。

This article aims to solve the problem of insufficient air conditioning and heating in extremely cold weather for a certain electric vehicle model.Through theoretical calculations and analysis,it was confirmed whether the selection and matching of the main components related to heating were reasonable,and design issues were ruled out.Subsequently,by reproducing faults on the actual vehicle and collecting process message data,the analysis results confirmed that the control method used by the air conditioning system in the target water temperature control process was unreasonable and could not fully utilize the heating capacity of the air conditioning system,which was the main reason for the feedback problem.To solve this problem,after benchmarking and discussing the control methods,it was decided to use the fuzzy PID control method as the control method for the target water temperature of the air conditioner.The control parameters of each fuzzy PID control method were determined through multiple vehicle calibrations.After solidifying these control methods into the software and verifying them through actual vehicle testing,the overall air conditioning heating performance of the vehicle was ultimately improved,meeting the requirements for use in severe cold weather.