The cycle life prediction of Mg-based hydrogen storage alloys by artificial neural network
文献类型：期刊论文
| 作者 | Tian, Qifeng1,2,4; Zhang, Yao3; Wu, Yuanxin1,2; Tan, Zhicheng3 |
| 刊名 | international journal of hydrogen energy
 |
| 出版日期 | 2009-02-01 |
| 卷号 | 34期号:4页码:1931-1936 |
| 关键词 | Cycle life Artificial neural network Mg-based hydrogen storage alloys |
| 产权排序 | 2;2 |
| 通讯作者 | 田琦峰 ; 张耀 |
| 英文摘要 | mg-based hydrogen storage alloys are a type of promising cathode material of nickel-metal hydride (ni-mh) batteries. but inferior cycle life is their major shortcoming. many methods, such as element substitution, have been attempted to enhance its life. however, these methods usually require time-consuming charge-discharge cycle experiments to obtain a result. in this work, we suggested a cycle life prediction method of mg-based hydrogen storage alloys based on artificial neural network, which can be used to predict its cycle life rapidly with high precision. as a result, the network can accurately estimate the normalized discharge capacities vs. cycles (after the fifth cycle) for mg(0.8)ti(0.1)m(0.1)ni (m = ti, al, cr, etc.) and mg(0.9-x)ti(0.1)pd(x)ni (x = 0.04-0.1) alloys in the training and test process, respectively. the applicability of the model was further validated by estimating the cycle life of mg(0.9)al(0.08)ce(0.02)ni alloys and nd(5)mg(41)-ni composites. the predicted results agreed well with experimental values, which verified the applicability of the network model in the estimation of discharge cycle life of mg-based hydrogen storage alloys. crown copyright (c) 2008 published by elsevier ltd on behalf of international association for hydrogen energy. all rights reserved. |
| WOS标题词 | science & technology ; physical sciences ; technology |
| 类目[WOS] | chemistry, physical ; electrochemistry ; energy & fuels |
| 研究领域[WOS] | chemistry ; electrochemistry ; energy & fuels |
| 关键词[WOS] | metal hydride batteries ; lead-acid-batteries ; ni-mh batteries ; electric vehicles ; electrochemical properties ; capacity indicator ; ti ; substitution ; ternary ; nickel |
| 收录类别 | SCI |
| 原文出处 | false |
| 语种 | 英语 |
| WOS记录号 | WOS:000264355300036 |
| 公开日期 | 2010-11-30 |
| 源URL | [http://159.226.238.44/handle/321008/101833]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | 1.Wuhan Inst Technol, Key Lab Green Chem Proc, Minist Educ, Wuhan 430073, Peoples R China 2.Wuhan Inst Technol, Hubei Key Lab Novel Reactor & Green Chem Technol, Wuhan 430073, Peoples R China 3.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China 4.Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 3J5, Canada |
| 推荐引用方式 GB/T 7714 | Tian, Qifeng,Zhang, Yao,Wu, Yuanxin,et al. The cycle life prediction of Mg-based hydrogen storage alloys by artificial neural network[J]. international journal of hydrogen energy,2009,34(4):1931-1936. |
| APA | Tian, Qifeng,Zhang, Yao,Wu, Yuanxin,&Tan, Zhicheng.(2009).The cycle life prediction of Mg-based hydrogen storage alloys by artificial neural network.international journal of hydrogen energy,34(4),1931-1936. |
| MLA | Tian, Qifeng,et al."The cycle life prediction of Mg-based hydrogen storage alloys by artificial neural network".international journal of hydrogen energy 34.4(2009):1931-1936. |
入库方式： OAI收割
来源：大连化学物理研究所
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