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Energy Storage Battery Parameters Identification Algorithms of a Solar Powered Communication/Remote-Sensing UAV

机译：储能电池参数太阳能通信/遥感UAV的识别算法

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摘要

The residual capacity of energy storage battery is an important index of flight safety as well as an essential parameter in the process of flight strategy design of a solar powered communication/remote-sensing UAV. SOC (State-Of-Charge) is generally used to represent the residual capacity of energy storage battery. Its physical meaning is the ratio of the residual capacity of battery and its capacity in completely charging state. The energy storage battery module will take the charge-discharge power as input and SOC as output. As for the practical application of the battery, the accuracy of models and parameters become technical difficulties. Through the test and analysis of lithium batteries, various factors affecting the performance of batteries are found out and the test data of lithium batteries are obtained. This paper analyzes the test data and the models together and evaluates the parameters of lithium batteries through exponential curve fitting and least-square parameter identification. Moreover, the application effects of the two methods are summarized and compared.
机译：储能电池的剩余容量是飞行安全性的重要指标，以及太阳能通信/遥感UAV的飞行战略设计过程中的重要参数。 SOC（充电状态）通常用于表示储能电池的剩余容量。其物理含义是电池的剩余容量与其完全充电状态的容量的比率。储能电池模块将充电放电电源作为输入和SOC作为输出。至于电池的实际应用，模型和参数的准确性成为技术困难。通过对锂电池的测试和分析，发现了影响电池性能的各种因素，获得锂电池的测试数据。本文将测试数据和模型分析在一起，并通过指数曲线拟合和最小二乘参数识别来评估锂电池的参数。此外，总结了两种方法的应用效果和比较。

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