是什么决定了一个学者的学术荣誉大小、学术地位高低呢？ 相信每一位科研人员或多或少都考虑过这个问题。美国阿拉斯加大学的Kevin Winker教授做了一个有趣的研究，最近在线发表在BioEssays上。Winker教授用论文被引用次数这一客观指标来代表学术荣誉大小（关于此前提是否合适，网络上讨论很多，本文不做讨论）。好的研究工作引用率应该高，为作者带来的学术荣誉大。 但什么是好的研究工作呢？要开展科学研究，首先要把这个难以把握的主观概念“好的研究工作”转换成客观的、可定量的指标，然后才可能进行科学的分析。作者选定了三个主要指标代表研究工作好坏：1）所发表期刊的影响因子；2）作者付出的精力大小；3）合作者人数。第一个指标最容易理解，好的结果一般发表在影响因子高的期刊上（在同一领域的论文此预期更强）。我们很多人也有类似想法，发表在高影响因子期刊上，读者面广，自然引用率会高。第二个指标，作者付出的精力大小，判定起来也有些难。好在Winker教授自己的论文就很多，从1988年到2008年共120篇，时间跨度不太大，作者自己能记得起来每一篇论文付出的精力大概大小。这120篇论文，在统计上，样本也不算太小了。第三个指标，合作者多少，人多力量大吗，人多的论文质量似乎应该高一些。 经过详细统计分析，Winker发现作者付出的精力大小是决定论文引用次数多少的主要因素，其次是合作人数的多少。令人惊讶的是，期刊的影响因子对论文的引用情况影响不大，SCI收录与否稍微有些影响。 此研究给我们的启示：1）踏踏实实做研究，一份辛苦一份收获；2）人多力量大；3）高枝攀上了也没用；4）投稿时，还是要看看期刊是否被SCI收录。 鉴于版权原因，我只能提供此论文的链接 http://onlinelibrary.wiley.com/doi/10.1002/bies.201100020/abstract ，想看全文、但又无法下载的网友可以向作者索取或者给我发邮件 http://cmb.bnu.edu.cn/teachers/niudk.htm 。 In scientific publishing at the article level, effort matters more than journal impact factors Hard work and co-authors overshadow journal venue in acquiring citations BioEssays DOI:10.1002/bies.201100020
Journal of Power Sources Article in Press, Accepted Manuscript - Note to users doi:10.1016/j.jpowsour.2011.01.005 | How to Cite or Link Using DOI Copyright 2011 Published by Elsevier B.V. Permissions Reprints Online Estimation of Internal Resistance and Open-circuit Voltage of Lithium-ion Batteries in Electric Vehicles Yi-Hsien Chiang , a , , Wu-Yang Sean a and Jia-Cheng Ke a a Mechanical and System Laboratories, Industrial Technology Research Institute, Taiwan Received 31 August 2010; revised 5 December 2010; accepted 5 January 2011. Available online 14 January 2011. Abstract State-of-charge (SoC) and state-of-health (SoH) define the amount of charge and rated capacity loss of a battery, respectively. In order to determine these two measures, open-circuit voltage (OCV) and internal resistance of the battery are indispensable parameters that are obtained with difficulty through direct measurement. The motivation of this study is to develop an online, simple, training-free, and easily-implementable scheme that is capable of estimating such parameters, particularly for the lithium-ion battery in battery-powered vehicles. Based on an equivalent circuit model (ECM), the electrical performance of a battery can be formulated into state-space representation. Also, underdetermined model parameters can be arranged to appear linearly so that an adaptive control approach can be applied. An adaptation algorithm is developed by exploiting the Lyapunov-stability criteria. The OCV and internal resistance can be extracted exactly without limitations of a system input signal, such as persistent excitation (PE), enhancing the method applicability for vehicular power systems. In this study, both simulations and experiments are established to verify the capability and effectiveness of the proposed estimation scheme. Keywords: Internal resistance; open-circuit voltage; state-of-charge; state-of-health; adaptive control; equivalent circuit model
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