Lithium-ion batteries(LIBs)have emerged as the preferred energy storage systems for various types of electric transports,including electric vehicles,electric boats,electric trains,and electric airplanes.The energy man...Lithium-ion batteries(LIBs)have emerged as the preferred energy storage systems for various types of electric transports,including electric vehicles,electric boats,electric trains,and electric airplanes.The energy management of LIBs in electric transports for all-climate and long-life operation requires the accurate estimation of state of charge(SOC)and capacity in real-time.This study proposes a multistage model fusion algorithm to co-estimate SOC and capacity.Firstly,based on the assumption of a normal distribution,the mean and variance of the residual error from the model at different ageing levels are used to calculate the weight for the establishment of a fusion model with stable parameters.Secondly,a differential error gain with forward-looking ability is introduced into a proportional–integral observer(PIO)to accelerate convergence speed.Thirdly,a fusion algorithm is developed by combining a multistage model and proportional–integral–differential observer(PIDO)to co-estimate SOC and capacity under a complex application environment.Fourthly,the convergence and anti-noise performance of the fusion algorithm are discussed.Finally,the hardware-in-the-loop platform is set up to verify the performance of the fusion algorithm.The validation results of different aged LIBs over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation of SOC and capacity with the relative errors within 2%and 3.3%,respectively.展开更多
目的探讨成人急性淋巴细胞白血病(ALL)患者首疗程诱导治疗结束时微小残留病(MRD1)检测对自体造血干细胞移植(auto-HSCT)预后的意义。方法回顾性分析2006年2月1日至2017年4月30日行auto-HSCT的87例有流式细胞术MRD1检测结果的ALL患者临...目的探讨成人急性淋巴细胞白血病(ALL)患者首疗程诱导治疗结束时微小残留病(MRD1)检测对自体造血干细胞移植(auto-HSCT)预后的意义。方法回顾性分析2006年2月1日至2017年4月30日行auto-HSCT的87例有流式细胞术MRD1检测结果的ALL患者临床资料,分析MRD1与ALL患者auto-HSCT后复发、生存的关系。结果26例(29.9%)ALL患者MRD1阳性。高危免疫表型比例在MRD1阳性组显著高于MRD1阴性组(34.6%对14.5%,P=0.038),初诊时年龄、性别、谱系(T/B)、免疫表型(标危/高危)、高白细胞计数(B-ALL>30×1069/L或T-ALL>100×10^9/L)比例、伴高危染色体/基因比例、第1次完全缓解到移植的时间、预处理方案在MRD1阴性组和阳性组中差异均无统计学意义(P值均>0.05)。MRD1阴性患者、MRD1阳性患者的5年无白血病生存(LFS)率分别为75.7%、29.6%(P<0.001),总生存(OS)率分别为72.7%、47.3%(P=0.004)。多因素分析结果显示MRD1阳性是影响患者OS的独立危险因素(HR=3.007,95% CI 1.256~7.200,P=0.013),MRD1阳性和高危免疫表型是影响患者LFS的危险因素(HR=3.986,95% CI 1.813~8.764,P=0.001;HR=2.981,95% CI 1.373~6.473,P=0.006)。结论auto-HSCT不能逆转MRD1阳性患者的不良预后。MRD1阴性且在强化治疗中持续保持阴性患者可选择auto-HSCT治疗。展开更多
This study introduces the optimization of the fiber Bragg grating （FBG） network and the load identification. Current researches on the optimal placement and reliability of the FBG network and the static load identif...This study introduces the optimization of the fiber Bragg grating （FBG） network and the load identification. Current researches on the optimal placement and reliability of the FBG network and the static load identification are generally analyzed. And then, the optimal placement of sensors and reliability of the FBG network are studied. Through the analysis of structural response characteristics, the general rules of sensors placement in structural static response parameters monitoring are proposed. The probability calculation is introduced, and the numerical analyses of the FBG sensor network reliability of several simple topologies are given.展开更多
基金This work was supported by the National Key Research and Development Program of China(2017YFB0103802)the National Natural Science Foundation of China(51922006 and 51707011).
文摘Lithium-ion batteries(LIBs)have emerged as the preferred energy storage systems for various types of electric transports,including electric vehicles,electric boats,electric trains,and electric airplanes.The energy management of LIBs in electric transports for all-climate and long-life operation requires the accurate estimation of state of charge(SOC)and capacity in real-time.This study proposes a multistage model fusion algorithm to co-estimate SOC and capacity.Firstly,based on the assumption of a normal distribution,the mean and variance of the residual error from the model at different ageing levels are used to calculate the weight for the establishment of a fusion model with stable parameters.Secondly,a differential error gain with forward-looking ability is introduced into a proportional–integral observer(PIO)to accelerate convergence speed.Thirdly,a fusion algorithm is developed by combining a multistage model and proportional–integral–differential observer(PIDO)to co-estimate SOC and capacity under a complex application environment.Fourthly,the convergence and anti-noise performance of the fusion algorithm are discussed.Finally,the hardware-in-the-loop platform is set up to verify the performance of the fusion algorithm.The validation results of different aged LIBs over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation of SOC and capacity with the relative errors within 2%and 3.3%,respectively.
文摘目的探讨成人急性淋巴细胞白血病(ALL)患者首疗程诱导治疗结束时微小残留病(MRD1)检测对自体造血干细胞移植(auto-HSCT)预后的意义。方法回顾性分析2006年2月1日至2017年4月30日行auto-HSCT的87例有流式细胞术MRD1检测结果的ALL患者临床资料,分析MRD1与ALL患者auto-HSCT后复发、生存的关系。结果26例(29.9%)ALL患者MRD1阳性。高危免疫表型比例在MRD1阳性组显著高于MRD1阴性组(34.6%对14.5%,P=0.038),初诊时年龄、性别、谱系(T/B)、免疫表型(标危/高危)、高白细胞计数(B-ALL>30×1069/L或T-ALL>100×10^9/L)比例、伴高危染色体/基因比例、第1次完全缓解到移植的时间、预处理方案在MRD1阴性组和阳性组中差异均无统计学意义(P值均>0.05)。MRD1阴性患者、MRD1阳性患者的5年无白血病生存(LFS)率分别为75.7%、29.6%(P<0.001),总生存(OS)率分别为72.7%、47.3%(P=0.004)。多因素分析结果显示MRD1阳性是影响患者OS的独立危险因素(HR=3.007,95% CI 1.256~7.200,P=0.013),MRD1阳性和高危免疫表型是影响患者LFS的危险因素(HR=3.986,95% CI 1.813~8.764,P=0.001;HR=2.981,95% CI 1.373~6.473,P=0.006)。结论auto-HSCT不能逆转MRD1阳性患者的不良预后。MRD1阴性且在强化治疗中持续保持阴性患者可选择auto-HSCT治疗。
基金This work was supported by the Chinese National Natural Science Foundation （Grant No. 51275239, 11402112）, the Aerospace CAST Innovation Foundation, the Cooperative Innovation Foundation of Jiangsu Province （Grant No. 2014003-01）, the Postdoctoral Science Foundation （Grant No. 20090461116）, the Aviation Science Foundation （Grant No. 20125652055）, the Doctor Research Foundation （Grant No. 20123218110003）. We also thank the State Key Laboratory of Mechanics and Control of Mechanical Structures of Nanjing University of Aeronautics and Astronautics.
文摘This study introduces the optimization of the fiber Bragg grating （FBG） network and the load identification. Current researches on the optimal placement and reliability of the FBG network and the static load identification are generally analyzed. And then, the optimal placement of sensors and reliability of the FBG network are studied. Through the analysis of structural response characteristics, the general rules of sensors placement in structural static response parameters monitoring are proposed. The probability calculation is introduced, and the numerical analyses of the FBG sensor network reliability of several simple topologies are given.
