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THE ROLE OF COMPUTER AIDED KNOWLEDGE TO DISCLOSE THE RIGHT POWER TECHNOLOGY

机译:计算机辅助知识的作用揭示了正确的电力技术

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The trend in electric vehicles development, EV, and its engines is increasingly depending on the energy storage resources. Among the different components, parts and subsystems involved in the ensemble of the new kind of vehicle, the battery being a current energy storage system seems to be critical as economic and technical performance driver of the final result. In fact it is the energy storage system the key element for the extra cost an electric vehicle should pay for (1)(2). Therefore, trying to discern from many different alternatives and moreover, to have a clue of which materials and technologies, is very relevant either for investors and manufacturers. Even for tier 1 providers in order to shape their strategies and adopt the less risky positions in the midterm. Innovation in this element is a must to overcome present limitations in efficient batteries, however with shorter lifecycles the industry demand to innovate with less risk. In the present time, innovation is increasingly dependent on critical new knowledge and new science access (3). It turns out that such new knowledge is increasingly multidisciplinary and distributed across multiple fields. That usually means digging across large and varied volumes of scientific and technology production which contrast with the reduced time available for analysis and comprehension (4). Therefore, to identify on time weak signals and to know what emerging technologies from which industries are increasingly shaping the future of batteries for electric drives is strategic for the industry yet is increasingly difficult. The increasing progress of the information technology applied to knowledge brings several advantages to the information – time conflict. Among different strategies of information technologies to analyze text, two techniques are worth to mention and will be applied in the present paper, i.e. tech mining and syntactic-semantics By means of such advanced techniques, the authors have analyzed and mined the recent literature regarding batteries for the electric vehicle and specially the materials which conform such energy storage systems. Tech mining and syntactic-semantics may in short time and even for the no top experts, to disclose main trends, promising technologies and weak signals that can disrupt the electric energy storage current vision. Elements as new possible functionalities performed by the current and future technologies have also been explored and discussed in the paper. For each of the new functionalities, finding current solutions from different industries is also of interest in disclosing the future technologies. Existing and nascent collaborations among science and companies in materials, structures, nanoparticles and nanostructures related to batteries and energy storage also help to understand the promising key approaches and movements.
机译:在电动汽车的发展,电动汽车,其发动机的趋势越来越取决于能量存储资源。在参与新型车辆的合奏的不同组件,部件和子系统,电池是当前储能系统似乎是作为最终结果的经济和技术性能驱动的关键。事实上,它是能量存储系统的额外成本的电动车辆应该支付(1)(2)键元件。因此,尝试从许多不同的选择,而且辨别,有一个线索,它的材料和技术,无论是对投资者和生产商密切相关。即使是为了塑造自己的战略,并采取在中期风险较低位置的一级供应商。在此元素创新然而,克服高效电池目前的限制,用较短的生命周期的行业需求,风险较小的创新是必须的。在目前的时间,创新越来越依赖于关键的新知识,新科学接入(3)。事实证明,这种新的知识越来越多学科和跨多个领域的分布。这通常意味着在大型和改变卷科学和技术生产,其与可用于分析和理解(4)减少时对比度的挖掘。因此,识别时间上弱信号,并知道什么新兴技术从行业影响越来越大的电池用于电力驱动未来战略的产业却又是越来越困难。适用于知识信息技术的日益进步带来了一些优势,以信息 - 时间冲突。在信息技术的不同的策略来分析文本,两种技术都值得一提,将在本文件适用,即高科技开采和句法语义通过这种先进的技术手段,作者分析和挖掘关于电池最近的文献用于电动车辆和专门其符合这样的能量存储系统中的材料。技术采矿和句法,语义可以在很短的时间,甚至无顶级专家,透露主力动向,有前景的技术和弱信号,可以破坏电能存储电流的愿景。元素当前和未来的技术进行新的可能的功能也被开发,并在本文讨论。对于每一个新功能的,发现来自不同行业目前的解决方案也是兴趣披露的未来技术。现有的和科学之间的合作新生和公司在材料,结构,纳米粒子和有关电池和储能纳米结构还有助于了解有为关键方法和运动。

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