摘要
针对燃料电池/蓄电池混合动力系统,通过考虑交通信号灯、前方车辆行驶信息等,预测当前车辆未来一段时间的行驶信息。同时以燃料经济性、燃料电池耐久性作为性能指标,制定燃料电池汽车能量管理策略。该策略通过预测的车辆行驶信息间接实现了良好的工况适应性。同时通过采用神经网络进行功率分配的方式,使得燃料电池功率输出贴近于全局最优值,以提高燃料经济性与燃料电池耐久性。
For the fuel cell/battery hybrid powertrain,by considering traffic lights,driving information of the vehicle ahead,etc.,we can predict the driving information of the current vehicle for a period of time in the future.At the same time,fuel economy and fuel cell durability are used as performance indicators to formulate energy management strategies for fuel cell vehicles.This strategy indirectly achieves good working condition adaptability through the predicted vehicle driving information.At the same time,the power output of the fuel cell is close to the global optimal value through the use of neural network for power distribution to improve fuel economy and fuel cell durability.
出处
《机电一体化》
2021年第5期3-13,共11页
Mechatronics
基金
国家重点研发计划:2018YFB0104501
国家自然科学基金青年基金项目:21805210。
