Multi-objective Matching Optimization for Hybrid Fuel-Cell Power System in Trams

被引：0

作者：

Fu W. ^{[1
]}

Qi H. ^{[2
]}

Dai C. ^{[3
]}

Li M. ^{[3
]}

Liu Z. ^{[3
]}

Chen W. ^{[3
]}

机构：

[1] Product R&D Center, CRRC Tangshan Co. Ltd., Tangshan

[2] CRRC Industrial Institute Co. Ltd., Beijing

[3] School of Electric Engineering, Southwest Jiaotong University, Chengdu

来源：

Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University | 2020年 / 55卷 / 03期

关键词：

Fuel cell; Hybrid power system; Multi-objective optimization; Service cycle cost; Tram;

D O I：

10.3969/j.issn.0258-2724.20180370

中图分类号：

学科分类号：

摘要：

The hybrid power system configuration in fuel-cell trams greatly affects the vehicle dynamic performance, system efficiency and economic benefit. However, there is a lack of effective configuration optimization methods. To meet the objective of minimizing the cost in a vehicle service cycle, an optimal configuration method for fuel-cell hybrid power system is proposed on the basis of the traction power calculation in the dynamic conditions of trams. The multi-objective and multi-constraint optimization model of the fuel-cell hybrid power system is established with the minimum volume/weight and the minimum vehicle service cycle cost. Meanwhile, the dynamic demand, bus voltage, power source output, real time electric power balance, rates and depths of charge and discharge, and SOC (state of charge) of energy storage system are all taken into consideration. A Pareto front is obtained by the proposed method, and the optimal solution with the minimum cost and the acceptable volume/weight is also recommended. Finally, the simulation results show that the optimal hybrid fuel-cell power system configured by the proposed method can meet the design requirements, and the service cycle cost of the hybrid power system is reduced from 70 million yuan to 15 million yuan. © 2020, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.

引用

页码：604 / 611

页数：7

共 15 条

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