Abstract
Vehicle thermal management system is expected to increase in-cabin thermal comfortableness in an energy-efficient way. Generally, the thermal management system operates to provide the desired comfort temperature under different driving conditions and ambient environmental conditions. In our study, the simulations of the air-conditioning system are performed to demonstrate the nonlinear dynamic process of in-vehicle temperature variation. Then, the air-conditioning system was optimized by using a fuzzy controller in order to improve its performance and energy efficiency. Results show that the air-conditioning system developed based on the fuzzy control method is an efficient method for vehicle thermal management.
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Acknowledgements
We would like to acknowledge the National Natural Science Foundation of China (51708493), National Research Program for Key Issues in Air Pollution Control (DQGG0207), Zhejiang Provincial Natural Science Foundation (LR19E050002), Zhejiang Province Key Science and Technology Project (2018C01020, 2018C01060, 2019C01057), and the Youth Funds of State Key Laboratory of Fluid Power and Mechatronic Systems (SKLoFP_QN_1804).
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Tong, Z., Shi, W., Tong, S., Li, Y. (2020). Developing a Vehicle Thermal Management System with Fuzzy Control Method. In: Long, S., Dhillon, B. (eds) Man–Machine–Environment System Engineering . MMESE 2019. Lecture Notes in Electrical Engineering, vol 576. Springer, Singapore. https://doi.org/10.1007/978-981-13-8779-1_58
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DOI: https://doi.org/10.1007/978-981-13-8779-1_58
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