Research on heat pump air conditioner compressor speed control strategy based on whale algorithm

Abstract

Accurate control of compressor speed is crucial for enhancing the heating performance of heat pump air conditioning systems and extending the driving range of electric vehicles. Based on traditional PID control and fuzzy PID control strategies, a control system utilizing the WOA-PID (Whale Optimization Algorithm)fuzzy control strategy is proposed to regulate the compressor speed and achieve optimal passenger compartment temperature control.The results demonstrate that, compared to traditional PID control and fuzzy PID control, the WOA-PID fuzzy control strategy results in significantly reduced overshooting of the passenger compartment temperature, as well as increased COP (Coefficient Of Performance)values. Specifically, when the target temperature is set at 18 °C, the WOA-PID fuzzy control strategy achieves a temperature overshoot amount of only 0.01 °C, and increases the COP by 0.10 and 0.01 compared to traditional PID control and fuzzy PID control, respectively. Similarly, when the target temperature is set at 25 °C, the WOA-PID fuzzy control strategy achieves a temperature overshoot amount of only 0.08 °C, and increases the COP by 0.14 and 0.07 compared to traditional PID control and fuzzy PID control, respectively. These improvements optimize the maximum overshooting amount and adjustment time of the passenger compartment temperature, effectively enhancing the heating performance of the system.