基于工况识别的燃料电池电动汽车能量管理策略

Energy management strategy of fuel cell electric vehicle based on work condition recognition

为降低燃料电池电动汽车的氢气消耗、降低燃料电池输出功率波动率及维持电池系统的荷电状态,基于工况识别能量管理策略框架提出了一种新型转移过程工况识别方法,该方法相较于传统的工况识别方法具有识别率高、识别速度快等优点。与常见的学习向量量化神经网络工况识别方法进行对比,通过仿真分别验证了所提工况识别算法的优势,同时所提基于工况识别方法的能量管理策略在混合工况下具有更优的性能表现。

To reduce hydrogen consumption in fuel cell electric vehicles,mitigate power fluctuations,and maintain the battery system′s state of charge,a novel transition process recognition method based on work condition recognition framework of energy management strategy is proposed.This method offers the advantages such as higher recognition rates and faster recognition speed comparing with the traditional condition recognition methods.A comparison is made with the commonly used LVQ recognition method,and the simulations are conducted to demonstrate the superiority of this condition recognition algorithm and the improved performance of the energy management strategy based on the present recognition method under mixed work conditions.