针对电动车辆的复杂行驶工况,提出一种基于雨流计数原理的实时预估钴酸锂电池健康状态(state of health,SOH)的建模方法。首先,开发了一种改进的实时雨流计数法,实现对不同放电深度(depth of discharge,DOD)下循环次数的统计分析;在此...针对电动车辆的复杂行驶工况,提出一种基于雨流计数原理的实时预估钴酸锂电池健康状态(state of health,SOH)的建模方法。首先,开发了一种改进的实时雨流计数法,实现对不同放电深度(depth of discharge,DOD)下循环次数的统计分析;在此基础上,提出一种利用等效充放电电流–荷电状态(state of charge,SOC)的包络面积,来评估每次循环中衰减因子的计算方法,并以不同循环次数下衰减因子的累加和来刻画电池的寿命衰减;最后,设计电池循环老化实验,验证了所提出方法可实现对随机充放电电流、DOD和循环次数下的电池SOH实时估计。展开更多
The paper presents briefly a real time rain flow method of cycle counting and its program design for the service loads of aeroengines.The concept of real time counting and its value to engineering application are also...The paper presents briefly a real time rain flow method of cycle counting and its program design for the service loads of aeroengines.The concept of real time counting and its value to engineering application are also discussed.A detailed program flow chart is given which can be used in software programming of small size airborne data processing equipment.展开更多
Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the ...Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City, Sichuan province, China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles(32°, 34°, 37°, 42°) and five rainfall intensities(60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model(I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model(Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation.展开更多
文摘针对电动车辆的复杂行驶工况,提出一种基于雨流计数原理的实时预估钴酸锂电池健康状态(state of health,SOH)的建模方法。首先,开发了一种改进的实时雨流计数法,实现对不同放电深度(depth of discharge,DOD)下循环次数的统计分析;在此基础上,提出一种利用等效充放电电流–荷电状态(state of charge,SOC)的包络面积,来评估每次循环中衰减因子的计算方法,并以不同循环次数下衰减因子的累加和来刻画电池的寿命衰减;最后,设计电池循环老化实验,验证了所提出方法可实现对随机充放电电流、DOD和循环次数下的电池SOH实时估计。
文摘The paper presents briefly a real time rain flow method of cycle counting and its program design for the service loads of aeroengines.The concept of real time counting and its value to engineering application are also discussed.A detailed program flow chart is given which can be used in software programming of small size airborne data processing equipment.
基金financially supported by the CAS Pioneer Hundred Talents Programpthe Institute of Mountain Hazards and Environment(Grant No.SDS-135-1705)+1 种基金support from the National Natural Science Foundation of China(Grant No.41771021,41471429,and 41790443)the National Key Research and Development Program of China(Grant No.2017YFD0800501)
文摘Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City, Sichuan province, China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles(32°, 34°, 37°, 42°) and five rainfall intensities(60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model(I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model(Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation.
