Electric vehicle self-adaptive energy-saving cooling system design based on fuzzy control methods of fan and pump electromotors

Qingshan Wang, D. Liang, Junyi Wang
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引用次数: 6

Abstract

Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.
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基于风扇和泵电机模糊控制方法的电动汽车自适应节能冷却系统设计
用电动汽车取代传统汽车被普遍认为是解决当前能源短缺和大气污染问题的一个有希望的解决方案。电动汽车在行驶过程中始终会产生损耗,并最终转化为周围环境中的散热。热管理是电动汽车研究中的一个关键环节,它能及时带走车辆的热量,保证系统的正常工作。本文提出了一种采用模糊律控制冷却风扇和冷却液泵的自适应冷却系统。根据冷却系统的实际工况,设计了模糊控制器的结构和参数。基于上述拓扑结构和控制策略,在Matlab/Simulink环境下建立仿真模型。实验样机包括两台永磁同步电机(PMSM)、电源变换器、控制箱、冷却风扇和冷却液泵全部制造并进行了测试。试验结果验证了设计方案的正确性。
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