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Temperature Control Strategy of Passenger Compartment Based on Control Algorithms

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Abstract

Thermal comfort of passenger compartment is an important constitute index of vehicle riding comfortability. A favorable compartment thermal environment is benefit to the physical and mental health of the driver and passengers, and can improve driving safety as well. Taking compartment thermal comfort as the optimization goal, a control strategy of double evaporator air conditioning system is optimized in this paper. The closed-loop control system model based on fuzzy-PID control is established, and Particle Swarm Optimization (PSO) algorithm is introduced to optimize the parameters of fuzzy-PID, regulate the fan speed and compressor opening. The results show that fuzzy-PID control combined with PSO algorithm has stronger adaptability and higher precision than traditional fuzzy-PID and PID control. It eliminates overshoot, and makes the temperature and air speed more comfortable in passenger compartment.

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Acknowledgement

The work was supported by National Natural Science Foundation of China (Grant No.51736007). National Natural Science Foundation of China (Grant No.51306122).

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Author notes

  1. These authors contributed equally to this work.

Authors and Affiliations

  1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Mengya Zhang, Li Ye & Lin Hu

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  1. Mengya Zhang
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  2. Li Ye
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  3. Lin Hu
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Correspondence to Li Ye.

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Zhang, M., Ye, L. & Hu, L. Temperature Control Strategy of Passenger Compartment Based on Control Algorithms. Int.J Automot. Technol. 24, 35–43 (2023). https://doi.org/10.1007/s12239-023-0004-y

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  • DOI: https://doi.org/10.1007/s12239-023-0004-y

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