Quiet Electrical cooling Fan module (Qe-FAN)

静音电冷却风扇模块 (Qe-FAN)

• 批准号: 538116-2018
• 负责人: Moreau, Stéphane
• 金额: $ 9.18万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699449
• 关键词: Quiet; Electrical; cooling; Fan; module

Acceptability of electrical vehicles by the society requires an increase of the autonomy and a quick charge of these vehicles. To increase the autonomy, the consumption of the classical heat and ventilation air-conditioning system must be reduced, which calls for the need of a heat pump and an overall more powerful fan system. To reduce the charging time requires to dissipate more heat in the vehicle underhood compartment and on the vehicle charging station, which again calls for more powerful cooling ventilation systems. In both cases, noise is significantly increased, most noticeably in urban areas and at night. The project thus proposes to design electrical cooling modules that are optimized acoustically to meet present noise specifications in urban zones, by combining both active and passive control of fan noise. The methodology will also be innovative and will rely on an original combination of direct aeroacoustic simulations of full modules, the dimension of which will be parametrized and can be adjusted automatically within the Computer-Aided Design software. To efficiently compute the noise of such complex systems, the Lattice Boltzmann Method is selected as it is presently the most efficient simulation technique to obtain acoustic signature in low speed applications. Such a method will allow to quickly iterate on the shape parameters of the module and the fan, and therefore to test various techniques of passive noise reduction to yield a final prototype that is significantly quieter than the initial module. Several experimental aeroacoustic methods will be used in parallel to validate the new concepts.

社会对电动汽车的接受度要求提高电动汽车的自主性和快速充电能力。为了提高自主性，必须降低传统的供热通风空调系统的能耗，这就需要一个热泵和一个整体功率更大的风扇系统。为了缩短充电时间，需要在汽车引擎盖下隔间和汽车充电站散热更多，这再次需要更强大的冷却通风系统。在这两种情况下，噪音都显著增加，最明显的是在城市地区和夜间。因此，该项目建议通过将风扇噪声的主动控制和被动控制相结合，设计经过声学优化的电气冷却模块，以满足目前城市区域的噪声规范。该方法也将是创新的，将依赖于全模块的直接气动声学模拟的原始组合，其尺寸将被参数化，并可在计算机辅助设计软件中自动调整。为了有效地计算这种复杂系统的噪声，选择了格子Boltzmann方法，因为它是目前在低速应用中获得声特征的最有效的模拟技术。这种方法将允许快速迭代模块和风扇的形状参数，并因此测试各种被动降噪技术，以产生比初始模块安静得多的最终原型。几种实验气动声学方法将被并行使用来验证新概念。