燃料电池动力系统匹配与换热设计
Fuel cell power system matching and heat exchange design
宋增海 1王炎 2戴锋 3李许一 1张西龙1
作者信息
- 1. 青岛理工大学机械与汽车工程学院,青岛 266525
- 2. 青岛理工大学机械与汽车工程学院,青岛 266525;清华大学汽车安全与节能国家重点实验室,北京 100084
- 3. 四川新能源汽车创新中心有限公司,宜宾 644005
- 折叠
摘要
对燃料电池汽车进行动力匹配可以保证整车的动力性需求,热管理系统的优化可以提升电池的性能和减少热管理系统能耗.采用AMESim软件建立系统模型,分析NEDC工况下热管理系统的特性.结果显示,单一大循环回路中电堆平均温度67℃,大小双循环回路中电堆平均温度为61.5℃,双循环回路燃料电池温度可控制在61.5～78.5℃内.相对于单一大循环回路,双循环回路的冷却液温差控制稳定性强,单一大循环回路中冷却液温差约5.5℃,双循环回路中冷却液温差约3.5℃.此外,双循环回路可以降低水泵功耗,水泵转速较单一大循环回路降低了 12.4％.本文提出的双循环换热设计对商用车燃料电池动力系统温控与节能降耗提供参考.
Abstract
Power matching for fuel cell vehicles can ensure the power demand of the whole vehicle,while optimising the thermal management system can improve the performance of the battery and reduce the energy consumption of the thermal man-agement system.A system model using AMESim software was established and the characteristics of the thermal management sys-tem under NEDC operating conditions was analyzed.The results show that the average temperature of the stack in the single large-cycle loop is 67 ℃,and the average temperature of the stack in the large and small double-cycle loops is 61.5 ℃.The tem-perature of the fuel cell using the double-cycle loop is controlled to be within 61.5～78.5 ℃.Compared with the single large-circulation circuit,the dual-circulation circuit shows the advantages of stability in the control of coolant temperature difference,with the coolant temperature difference of about 5.5 ℃ in the single large-circulation circuit and about 3.5 ℃ in the dual-cir-culation circuit.In addition,the double-circulation loop can reduce the power consumption of the water pump,the average val-ue ofthe water pump speed is 12.4％lower than the single large-circulation loop.The dual-circulation heat transfer design proposed will provide a reference for temperature control and energy saving in fuel cell power systems for commercial vehicles.
关键词
质子交换膜燃料电池/AMESim仿真/温度控制策略/动力系统匹配Key words
PEMFC/AMESim simulation/Temperature control strategy/Powertrain matching引用本文复制引用
基金项目
国家自然科学基金(52207240)
山东省自然科学基金(ZR2022QE099)
出版年
2024
NETL
NSTL
万方数据