In this paper, we develop a semiempirical model for predicting degradation in lithium–ion batteries and use it to assess the performance of an all-electric general aviation aircraft over its operational lifetime. The model comprises three parts: a cycle discharge model, a heat transfer model, and a cell-aging model. The discharge model captures the steady-state and transient behaviors of the cell. The heat transfer model enables accurate prediction of the cell temperature within the modules of the battery pack. Lastly, the cell-aging model uses the electrical and thermal load profiles along with experimentally obtained parameters to estimate battery degradation. A flight profile representative of a mission for this class of aircraft is then studied to assess the performance of the battery pack under realistic conditions. Preliminary results indicate that battery life of the aircraft operating a daily service of four regional flights can fall by as much as 25% after one calendar year. The sensitivities of the discharge rate and the cycle depth of discharge to factors such as flight trajectory and environmental conditions are subsequently examined. This detailed approach to battery modeling at the conceptual design stage is critical for appropriately sizing a battery system to meet the desired range and performance requirements over the entire duration of service.

在本文中，我们开发了一个半经验模型来预测锂离子电池的退化，并用它来评估全电动通用航空飞机在其使用寿命内的性能。该模型包括三部分：循环放电模型、传热模型和电池老化模型。放电模型捕捉电池的稳态和瞬态行为。传热模型能够准确预测电池组模块内的电池温度。最后，电池老化模型使用电气和热负载曲线以及实验获得的参数来估计电池退化。然后研究代表此类飞机任务的飞行剖面，以评估电池组在现实条件下的性能。初步结果表明，每天运营四个支线航班的飞机的电池寿命在一个日历年后可能下降多达 25%。随后检查了放电率和放电循环深度对飞行轨迹和环境条件等因素的敏感性。这种在概念设计阶段进行电池建模的详细方法对于适当调整电池系统的大小以满足整个服务期间所需的范围和性能要求至关重要。