Half-Power Prediction and Its Application on the Energy Management Strategy for Fuel Cell City Bus

被引:8
|
作者
Zhang, Longhai [1 ,2 ]
Ning, Lina [2 ]
Yang, Xueqing [2 ]
Zeng, Sheng [2 ]
Yuan, Tian [2 ]
Li, Gaopeng [2 ]
Ke, Changchun [1 ]
Zhang, Junliang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Fuel Cells, Sch Mech Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[2] Yutong Bus Co Ltd, Zhengzhou 450016, Peoples R China
关键词
Fuel cell city bus; Energy management; Half-power prediction;
D O I
10.1007/s42154-022-00210-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The fuel cell hybrid powertrain is a potential power supply system for fuel cell vehicles. The underlying problem is that the fuel cell vehicles encounter exhaustive hydrogen consumption. To effectively manage hydrogen consumption, the aim is to propose fuel cell city bus power and control system. The underlying idea is to determine the target power of fuel cell through simulation study on fuel cell and battery energy management strategy and road test verifications. A half-power prediction energy management strategy is implemented to predict the target power of the fuel cell in the current time step based on the demand power of the vehicle and the state of charge (SOC) of the battery in the previous time steps. This offers better understanding of the correlation between fuel cell power and vehicle drive cycle for enabling effective power supply management. The research results show that the half-power prediction energy management strategy effectively reduces the hydrogen consumption of the vehicle by 7.1% and the number of battery cycle by 6.0%, compared to the stepped management strategy of battery SOC. When applied to a 12-m fuel cell city bus-F12, specially designed and manufactured for the Winter Olympic Games in 2022-the fuel economy of 3.7 kg/100 km is achieved in urban road conditions. This study lays a foundation for providing the powertrain configuration and energy management strategy of fuel cell city bus.
引用
收藏
页码:131 / 142
页数:12
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