Optimization of Heating Capacity for Vehicle Air Conditioning Based on Fuzzy PID Method
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 condition-ing 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.
Vehicle air conditioningAir conditioning heatingFuzzy PIDCalibration optimization
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