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Improving battery performance by using traffic shaping techniques

机译:通过使用流量整形技术提高电池性能

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We present a new approach to minimizing energy consumption bynaddressing battery management techniques that exploit the chargenrecovery effect inherent to many secondary storage batteries. We reviewnresults that pertain to the capacity of a battery and its dependence onnthe intensity of the discharge current. The phenomenon of chargenrecovery that takes place under bursty or pulsed discharge conditions isnidentified as a mechanism that can be exploited to enhance the capacitynof a battery. The bursty nature of many data traffic sources suggestsnthat data transmissions may provide natural opportunities for chargenrecovery. We explore stochastic models to track charge recovery innconjunction with bursty discharge processes. Using the postulated model,nwe identify the improvement to battery capacity that results from anpulsed discharge driven by bursty stochastic discharge demand. Theninsight from this analysis leads us to propose discharge shapingntechniques that trade-off energy efficiency with delay
机译:我们提出了一种新的方法,通过解决电池管理技术来最大程度地降低能耗,该技术利用了许多辅助蓄电池固有的电荷恢复效应。我们回顾了有关电池容量及其对放电电流强度的依赖性的结果。在突发或脉冲放电条件下发生的电荷恢复现象被认为是可以用来增强电池容量的机制。许多数据流量源的突发性质表明,数据传输可能会为电荷恢复提供自然的机会。我们探索随机模型来跟踪与突发放电过程结合的电荷恢复。使用假定的模型,我们确定了由突发性随机放电需求驱动的脉冲放电导致的电池容量的提高。然后,根据此分析得出的见解使我们提出了一种放电整形技术,该技术需要权衡能源效率与延迟

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