基于空间信息的GE O卫星蓄电池充电优化控制

摘要

以提高GEO三轴卫星氢镍蓄电池充电效率为目的，首次将卫星、太阳的空间信息与卫星蓄电池充电结合起来，设计了基于空间信息的蓄电池最佳补充充电方法，建立了极值法预测蓄电池充电最佳时段的解算模型，并仿真验证了蓄电池最佳充电时刻与蓄电池壳温最低时刻的一致性。在轨应用表明，采用地面解算模型充电与星上自主充电相比，有效充电容量提高了5倍，解决了常规地面蓄电池补充充电不能满足星上能源需求的难题。%The dynamic variation of the battery recharging efficiency of the satellite was studied,and the effects of the satellite orbit, attitude, the sun position, and the battery temperature on the performance degradation of GEO satellite battery were analyzed. The optimized calculating model was designed to predict the best battery recharging time. In-orbit application shows that the proposed method can improve the effective recharge capacity by 5 times,comparing with the automotive recharge.The problem of shortage battery is solved during the shadow period.