质子交换膜(PEM)燃料电池低温启动是燃料电池汽车商业化应用面临的挑战之一。燃料电池电堆材料部件和系统设备及部件的热容量、空间分布以及预热升温的时间需求各不相同,影响燃料电池系统的低温启动性能。建立了简化的燃料电池系统低温...质子交换膜(PEM)燃料电池低温启动是燃料电池汽车商业化应用面临的挑战之一。燃料电池电堆材料部件和系统设备及部件的热容量、空间分布以及预热升温的时间需求各不相同,影响燃料电池系统的低温启动性能。建立了简化的燃料电池系统低温启动分级预热的热平衡模型,对100 k W燃料电池系统低温启动过程中热量需求进行热平衡计算及分析,根据热容量空间分布及预热时间顺序需求,基于2 k W短堆实验数据,得到了低温启动过程中分级预热升温的控制策略。结论对燃料电池系统低温启动操作具有参考意义。展开更多
In this paper, we explored a load-balancing algorithm in a cluster file system contains two levels of metadata-server, primary-level server quickly distributestasks to second-level servers depending on the closest loa...In this paper, we explored a load-balancing algorithm in a cluster file system contains two levels of metadata-server, primary-level server quickly distributestasks to second-level servers depending on the closest load-balancing information. At the same time, we explored a method which accurately reflect I/O traffic and storage of storage-node： computing the heat-value of file, according to which we realized a more logical storage allocation. According to the experiment result, we conclude that this new algorithm shortens the executing time of tasks and improves the system performance compared with other load algorithm.展开更多
文摘质子交换膜(PEM)燃料电池低温启动是燃料电池汽车商业化应用面临的挑战之一。燃料电池电堆材料部件和系统设备及部件的热容量、空间分布以及预热升温的时间需求各不相同,影响燃料电池系统的低温启动性能。建立了简化的燃料电池系统低温启动分级预热的热平衡模型,对100 k W燃料电池系统低温启动过程中热量需求进行热平衡计算及分析,根据热容量空间分布及预热时间顺序需求,基于2 k W短堆实验数据,得到了低温启动过程中分级预热升温的控制策略。结论对燃料电池系统低温启动操作具有参考意义。
基金Supported by the Industrialized Foundation ofHebei Province(020501) the Natural Science Foundation of HebeiUniversity(2005Q04)
文摘In this paper, we explored a load-balancing algorithm in a cluster file system contains two levels of metadata-server, primary-level server quickly distributestasks to second-level servers depending on the closest load-balancing information. At the same time, we explored a method which accurately reflect I/O traffic and storage of storage-node： computing the heat-value of file, according to which we realized a more logical storage allocation. According to the experiment result, we conclude that this new algorithm shortens the executing time of tasks and improves the system performance compared with other load algorithm.
