机载动力系统评估和预测算法研究

飞机动力系统的可靠性对飞机的飞行安全至关重要。与燃料驱动的飞机相比,新兴电动飞机的动力系统存在一些特殊的问题,如电池剩余的功率非线性下降且不能直接测量等。为此,描述了一种同时包含监测和预测的健康管理体系架构,针对电动飞行器的动力系统建立了一个联合模型,包括高精度锂离子电池电化学模型、电池负载模型、预测算法模型等,形成了动力电池荷电状态(SOC)和剩余使用寿命(RUL)评估和预测引擎。其基于无迹卡尔曼滤波器,利用监控传感器读数、飞行状态参数,能够有效输出飞行器电池的荷电状态和剩余使用时间预测值,并通过预测引擎,根据电池状态估计和剩余时间预测结果完成飞行路径决策。

Study on load performance of electric motor system used in hybrid electric vehicle

The performance of the power assist, global optimization solved by dynamic programming （DP） method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle （PHEV） model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.