基于多目标优化的燃料电池汽车实时能量管理策略OACSTPCD

In order to reduce the equivalent hydrogen consumption of the hybrid system and delay the aging of the fuel cell,an Energy management strategy(EMS)was proposed based on multi-objective optimization and road con-dition classification.Firstly,the electrical model of the fuel cell and lithium battery hybrid system power was con-structed,and the equivalent hydrogen consumption model and fuel cell aging model were introduced.Then,a rule-based multi-mode EMS was designed;on this basis,in order to further reduce the equivalent hydrogen consumption of the system and prolong its service life,the multi-objective beluga whale optimization algorithm(MOBWO)was proposed to optimize the control parameters.Furthermore,in order to make the designed EMS suitable for different road conditions,a real-time classification method of driving road conditions based on long short-term memory(LSTM)network was proposed,aiming to switch the control parameters of EMS according to the classification re-sults to achieve the optimal effect.Finally,the proposed algorithm was analyzed on the simulation platform.The re-sults showed that the hydrogen consumption of the hybrid system with the proposed method was reduced by 2.3%and the aging degree of the fuel cell was reduced by 1.02%compared with the rule-based method,The proposed EMS could effectively reduce the equivalent hydrogen consumption of the hybrid system and delay the aging of the fuel cell.