Battery independence: Reducing the dependence on batteries in wearable computing through energy harvesting techniques

David Pasko, Michael Mrazik, K. Elleithy
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引用次数: 3

Abstract

This paper discusses one of the most troublesome and frustrating issues for mobile devices users, battery life. Once a battery is utilized in a system, battery charging must be incorporated seamlessly so that the workflow of the user is uninterrupted. In today's fast-paced society, people don't have the time to stop what they are doing to charge their mobile devices and wait for them to complete. A secondary known issue concerning batteries is that their effective capacity diminishes over time and use. In turn the process of battery charging would become more frequent and disruptive to the user. The need for an effective means to continually charge the battery through smart energy harvesting techniques will be investigated in the following paper. Utilizing the findings from other articles, we were able to generate easy-to-use formulas to help estimate the power across multiple real-world use cases (running, walking, sleeping, sun, shade, etc.) Testing the formulas across multiple use cases, only two of the cases generated more power in our application than what the system utilized. This excess power would be utilized to keep the battery's charge topped off. In the use cases where we didn't generate enough power, the battery would need to supplement the system.
电池独立性:通过能量收集技术减少可穿戴计算对电池的依赖
本文讨论了移动设备用户最麻烦和最令人沮丧的问题之一,电池寿命。一旦电池在系统中使用,电池充电必须无缝结合,以便用户的工作流程不间断。在当今快节奏的社会中,人们没有时间停下来给他们的移动设备充电,等待它们完成。关于电池的第二个已知问题是,它们的有效容量会随着时间和使用而减少。反过来,电池充电的过程将变得更加频繁和干扰用户。需要一种有效的手段,通过智能能量收集技术持续充电的电池将在下面的文章中进行研究。利用来自其他文章的发现,我们能够生成易于使用的公式来帮助估计跨多个实际用例(跑步、散步、睡觉、晒太阳、遮阳等)的功率。测试跨多个用例的公式,在我们的应用程序中,只有两个用例产生的功率比系统使用的功率多。这些多余的能量将被用来保持电池的电量。在我们没有产生足够电力的情况下,电池需要补充系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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