基于小波变换-模糊控制的复合电源能量管理

以锂电池-超级电容构成的复合电源电动汽车为研究对象，在满足动力性能的前提下，为实现超级电容在合理的荷电状态 （SOC） 下承担高频率信号，且锂电池承担低频率信号的目标，建立了实时小波变换-模糊控制的能量管理控制策略。基于 Matlab/Simulink 和 ADVISOR 软件搭建整车模型，并在 NEDC 循环工况下进行仿真测试。仿真结果表明，与单一锂电池相比，在小波变换-模糊控制策略下，复合电源锂电池的驱动峰值电流降低了20.68%，寿命提高了16.74%。搭建了按一定比例缩小的复合电源系统试验平台，并在 NEDC 工况下进行试验验证。结果表明，小波变换-模糊控制策略对复合电源电动汽车的能量管理具有良好的控制效果。

Energy Management in Composite Power Supply Based on Wavelet Transform and Fuzzy Control

Focusing on a hybrid electric vehicle equipped with a lithium battery and supercapacitor, the paper establishes a real-time wavelet transform-fuzzy control energy management control strategy. The objective is to enable the supercapacitor to handle high frequency signals at a reasonable state of charge (SOC) and the lithium battery to manage low frequency signals, all under the premise of satisfying dynamic performance requirements. Secondly, the vehicle model was developed based on Matlab/Simulink and ADVISOR software, and simulation tests were carried out under NEDC cycle conditions. The simulation results show that, compared with the single lithium battery, the peak driving current of the lithium battery in the composite power supply is reduced by 20.68% and its lifespan is increased by 16.75% under the wavelet transform-fuzzy control strategy. Finally, a scaled-down experimental platform of the composite power system was built and tested under NEDC conditions. The experimental results show that the proposed control strategy effectively manages the energy of the hybrid electric vehicle.