Optimization of robot fuel cell hybrid power system

被引：0
|
作者：
Lü X. [1 ]
Ma Y. [1 ]
Liu W. [1 ]
机构：
[1] School of Automation Engineering, Shanghai University of Electric Power, Shanghai
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2016年 / 50卷 / 12期
关键词：
Energy management strategy; Fuel cell; State of charge;
D O I：
10.16183/j.cnki.jsjtu.2016.12.025
中图分类号：
学科分类号：
摘要：
The mathematical model for the fuel cell hybrid power system was established, including the fuel cells, the DC converter, the lithium battery, and the load. The hybrid fuel cell system and energy management strategy was designed and studied. The power demanded by the load was provided by the fuel cell and battery according to the energy management strategy, including the battery state of charge balanced strategy and a fuel cell adaptive power control algorithm. The converter was controlled by the current to achieve the overall control of the system. An extension control strategy was proposed in the converter output current tracking control. The simulation results show that the fuel cell control strategy can solve the problem of fuel saturation and realize the reasonable distribution of the power system. The battery SOC is kept in a presumed level. The extension control strategy is applied to improve the current tracking precision, robustness and reliability of the system, making the fuel cell hybrid power system run safely and efficiently. © 2016, Shanghai Jiao Tong University Press. All right reserved.
引用
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页码：1936 / 1939
页数：3
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