摘要
针对传统能量均衡方法在拓扑结构上,仅侧重主动或被动均衡导致的均衡速度快慢,与系统复杂性、成本及SOC估算准确性之间的矛盾问题,提出基于自适应选择主被动均衡拓扑的无人机飞控驱动电源能量均衡方法。对无人机飞控驱动电池组建模,了解电池组的特性参数关系。设计可依电池组特性灵活选择主动、被动均衡方式或组合的均衡拓扑结构,提升均衡电路速度与精度。以SOC(荷电状态)数值为能量均衡控制输入变量,采用扩展卡尔曼滤波器技术,建立电池的状态空间模型,结合可测参数精确估算SOC,判断电池组中各电池间的能量差异。利用设计的均衡拓扑结构动态调整电池的能量,实现均衡控制。实验结果表明:该方法可快速实现单体电池能量均衡,降低SOC极差,提升蓄电池组整体性能与稳定性。
A method for energy balance of unmanned aerial vehicle flight control drive power supply based on adaptive selection of active passive balance topology is proposed to address this situation.Model the drone flight control drive battery pack and understand the characteristic parameter relationship of the battery pack.Using SOC(state of charge)value as the input variable for energy balance control,an extended Kalman filter technology is employed to establish a state space model of the battery.By combining measurable parameters,SOC is accurately estimated to determine the energy differences between each battery in the battery pack.The designed balanced topology structure is used to dynamically adjust the energy of the battery and achieve balanced control.
出处
《工业控制计算机》
2025年第9期133-135,共3页
Industrial Control Computer
关键词
自适应选择算法
飞控驱动电源
无人机
能量均衡
拓扑均衡
adaptive selection algorithm
flight control drive power supply
UAV
energy balance
topological equilibrium
