期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
可变环境温度下锂离子电池平均温度估计 被引量:5
1
作者 姜余 陈自强 《上海交通大学学报》 EI CAS CSCD 北大核心 2021年第7期781-790,共10页
锂离子电池的温度变化会极大地影响其使用性能,对锂离子电池进行温度信息采集对热管理系统的开发具有重要意义.为了解决传统温度传感器布置方式所导致的局部温度无法代替整体平均温度的问题,需要在可变环境温度下对10 A·h三元镍钴... 锂离子电池的温度变化会极大地影响其使用性能,对锂离子电池进行温度信息采集对热管理系统的开发具有重要意义.为了解决传统温度传感器布置方式所导致的局部温度无法代替整体平均温度的问题,需要在可变环境温度下对10 A·h三元镍钴锰酸锂离子电池开展平均温度估计研究.首先,对锂离子电池进行建模并搭建实验平台,获取建模所需的参数.其次,提出了基于递推最小二乘与拓展卡尔曼滤波算法相结合的锂离子电池平均温度估计方法.最后,为了验证所提出方法的有效性,使用改进混合动力脉冲能力特性(IHPPC)测试工况获取电池在可变环境温度下的实验数据.结果表明:所提方法能够实时估计锂离子电池的平均温度.温度估计模型算法收敛后最大误差为1.8℃,平均误差仅为1℃. 展开更多
关键词 锂离子电池 时变环境温度 改进混合动力脉冲能力特性(IHPPC) 平均温度估计
下载PDF
Projections of 2.0°C Warming over the Globe and China under RCP4.5 被引量:20
2
作者 Zhang Ying 《Atmospheric and Oceanic Science Letters》 2012年第6期514-520,共7页
The outputs of 17 models in the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed to investigate the temporal and spatial features of 2.0°C warming of the surface temperature over the globe and C... The outputs of 17 models in the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed to investigate the temporal and spatial features of 2.0°C warming of the surface temperature over the globe and China under the Representative Concentration Pathways (RCP) 4.5 scenario. The simulations of the period 1860-1899 in the "historical" experiment are chosen as the baseline. The simulations for the 21st century in the RCP4.5 experiment are chosen as the future project. The multi-model ensemble mean (MME) shows that the global mean temperature would cross the 2.0°C warming threshold in 2047. Warming in most of the models would cross the threshold during 2030-2060. For local warming, high-latitude areas in the Northern Hemisphere show the fastest warming over the globe. Land areas warm substantially faster than the oceans. Most of the southern oceans would not exceed the 2.0°C warming threshold within the 21st century. Over China, surface warming is substantially faster than the global mean. The area-averaged warming would cross the 2.0°C threshold in 2034. Locally, Northwest China shows the fastest warming trend, followed by Central North China and Northeast China. Central China, East China, and South China are the last to cross the 2.0°C warming threshold. The diversity of the models is also estimated in this study. Generally, the spread among the models increases with time, and there is smaller spread among the models for the areas with the faster warming. 展开更多
关键词 surface warming 2.0°C threshold RCP4.5 globe China
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部