Research on ADHDP energy management strategy for fuel cell hybrid power system

被引：8

作者：

Fu, Zhichao ^{[1
,2
]}

Chen, Qihong ^{[1
]}

Zhang, Liyan ^{[1
]}

Zhang, Haoran ^{[1
]}

Deng, Zhihua ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China

[2] Wuhan Inst Marine Elect Prop, Wuhan 430064, Peoples R China

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2021年 / 46卷 / 57期

基金：

中国国家自然科学基金;

关键词：

Fuel cell hybrid power system; ADHDP; Energy management strategy; HIL experiment Platform; VEHICLES;

D O I：

10.1016/j.ijhydene.2021.02.055

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Fuel cell hybrid power system is a prospective power source for electrical vehicles. To reduce hydrogen consumption and enhance dynamic performance of the system, Action Dependent Heuristic Dynamic Programming (ADHDP) energy management strategy for the fuel cell hybrid power system was proposed. Firstly, topology of the system was analyzed and mathematical model was established through mechanism analysis. Secondly, framework of the ADHDP algorithm was presented, and it was followed by training algorithm for evaluating network and executing network of ADHDP based on Back Propagation (BP) algorithm. Finally, hardware-in-the-loop (HIL) simulation of the fuel cell hybrid power system was carried out to demonstrate the proposed ADHDP algorithm under real operating conditions. The results show that evaluating network and executing network of ADHDP have good convergence performance under different operating conditions. Compared with the other algorithms, the proposed ADHDP energy management strategy has better fuel economy and dynamic performance. (c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：29432 / 29442

页数：11

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