The invention discloses a fuel cell automobile energy management strategy based on spider bee optimization. The fuel cell automobile energy management strategy comprises a rule energy management strategy based on spider bee algorithm optimization and a long-short time neural network working condition recognition system. According to the invention, five working modes are defined, and a rule-based control strategy is designed; aiming at seven parameters which are uncertain in the strategy and have direct influence on a control effect, optimizing an objective function combining equivalent hydrogen consumption and fuel cell life attenuation by utilizing a spider bee algorithm to obtain parameters meeting power and economical efficiency requirements; the working condition recognition system can be used for recognizing the working condition of the automobile running on a period of time and route so as to determine the running mode of the automobile to select proper parameters, and the optimization strategy can be applied to real automobile running, so that the energy consumption of the automobile can be further reduced, and the service life of a fuel cell can be prolonged.
本发明公开了一种基于蜘蛛蜂优化的燃料电池汽车能量管理策略,包括:基于蜘蛛蜂算法优化的规则能量管理策略、长短时神经网络工况识别系统;其中本发明定义了五种工作模式,设计出基于规则的控制策略;针对策略中不确定且对控制效果有直接影响的七个参数,将等效氢耗量和燃料电池寿命衰减相结合的目标函数,利用蜘蛛蜂算法进行优化,得出满足动力和经济性要求的参数;其中通过工况识别系统可以对汽车在一段时间路线上行驶的工况进行识别,由此确定车辆的行驶模式以选取合适的参数,可将上述优化策略应用到实车运行中,可使汽车能耗进一步下降燃料电池寿命有所延长。
Fuel cell automobile energy management strategy based on spider bee optimization
一种基于蜘蛛蜂优化的燃料电池汽车能量管理策略
2024-09-06
Patent
Electronic Resource
Chinese
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