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

机译:基于风机和水泵电动机模糊控制方法的电动汽车自适应节能冷却系统设计

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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.
机译:通常认为用电动汽车代替传统汽车对于解决最新的能源短缺和大气污染问题是一个有前途的解决方案。电动汽车在行驶过程中始终会产生损耗,最终会转化为周围环境中的散热。热管理是电动汽车研究中及时带走热量,确保系统正常运行的关键部分。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。模糊控制器的结构和参数是根据冷却系统的实际工况设计的。基于上述拓扑和控制策略,在Matlab / Simulink环境中构建了仿真模型。实验原型包括两个永磁同步电动机(PMSM),功率转换器,控制箱,冷却风扇和冷却剂泵均已制造并经过测试。测试结果验证了设计方案。

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