More electric aircraft (MEA) has become the trend of future advanced aircraft for its potential to be more efficient and reliable. The optimal power management, thus, plays an important role in MEA, especially when using hybrid energy storage systems (HESSs). In this article, we propose a novel adaptive online power management (AOPM) algorithm for MEA, which aims to minimize the power fluctuation of the generators based on the battery–supercapacitor HESS. The problem is first formulated as a constrained stochastic programming problem. We then present an online algorithm to approximately solve the problem using the Lyapunov optimization method, which does not require any statistics and future knowledge of the electricity demand. We further propose the AOPM algorithm for MEA by incorporating an adaptive strategy with the online algorithm. Trace-driven simulation results demonstrate the effectiveness, efficiency, and adaptability of the proposed power management algorithm for MEA.

中文翻译：

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具有混合储能系统的更多电动飞机的自适应在线电源管理

更电动飞机（MEA）已成为未来先进飞机的趋势，因为它具有更高效和更可靠的潜力。因此，最佳电源管理在 MEA 中起着重要作用，尤其是在使用混合储能系统 (HESS) 时。在本文中，我们为 MEA 提出了一种新颖的自适应在线电源管理 (AOPM) 算法，旨在最小化基于电池 - 超级电容器 HESS 的发电机的功率波动。该问题首先被表述为一个受约束的随机规划问题。然后，我们提出了一个在线算法，使用李雅普诺夫优化方法来近似解决该问题，该方法不需要任何统计数据和未来的电力需求知识。我们通过将自适应策略与在线算法相结合，进一步提出了 MEA 的 AOPM 算法。