氢燃料汽车混合动力系统能量管理优化策略

Energy management optimization strategy for hydrogen fuel vehicle hybrid power system

针对传统等效氢能耗管理下混合动力系统面临的燃料电池电流输出随机、系统耐久性降低等问题,提出一种基于模型预测控制的多目标能量管理优化策略。首先,结合燃料电池、动力电池特性对其进行精确建模;然后,以最小化燃料电池输出电流、电流变化率及动力电池荷电状态波动为目标设计多目标能量管理优化策略,通过对性能指标采用加权函数法进行系统成本函数的优化设计,得出最佳功率分配。仿真结果显示,该优化策略可以降低氢燃料电池损耗14%,降低氢燃料电池输出电流脉动及动力电池荷电状态波动,提升系统耐久性。

A multi-objective energy management optimization strategy based on model predictive control is proposed to address the issues of random fuel cell current output and reduced system durability faced by hybrid power systems under traditional equivalent hydrogen energy consumption management.Firstly,the hybrid power system is accurately modelled by combining the characteristics of fuel cells and power batteries.Then,a multi-objective energy management strategy is designed with the main control objectives of minimizing fuel cell current,current change rate,and power battery state of charge pulsation.By using the weighted function method to optimize the design of the system cost function for performance indicators,the optimal power allocation is obtained.The simulation results show that the proposed multi-objective energy management strategy can reduce the losses of hydrogen fuel cells by 10%,reduce the output current ripple of hydrogen fuel cells and the state of charge ripple of power cells,and improve the service life of the system.