Application of State Transition Energy Management Control Algorithm in Fuel Cell

Authors

  • Zheng Pan SAIC-GM, Wuhan, Hubei 430000, China
  • Qihong Xiao ZOOMLION, Changsha, Huan 410000, China
  • Yangliang Chen SAIC-GM, Wuhan, Hubei 430000, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3614

Keywords:

Fuel cell charge, decision-making process, state transition energy management algorithm, energy management, error accumulation.

Abstract

Dynamic programming algorithms are widely used in motor vehicle fuel
cells, and can help battery energy management control to perform error
analysis. The paper designs the decision-making process of fuel cell charge
and discharge management based on the state transition energy management
algorithm, which is used to analyse the cumulative causes of errors and
the corresponding results. The article uses simulation software to simulate
the algorithm proposed in this paper, and finds that the algorithm is an
energy management optimization decision, and the error of the hydrogen
consumption obtained by the algorithm relative to the theoretical optimal
hydrogen consumption is less than 0.25%.

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Author Biographies

Zheng Pan, SAIC-GM, Wuhan, Hubei 430000, China

Zheng Pan was born in Hubei, China, in 1993. From 2012 to 2016, he studied
in Yangtze University and received his bachelor’s degree in 2016. From 2017
to 2020, he studied in Guizhou University and received his Master’s degree
in 2020. Currently, he works in SAIC-GM. He has published five papers. His
research interests are included Robot control and Fuel cells.

Qihong Xiao, ZOOMLION, Changsha, Huan 410000, China

Qihong Xiao was born in Hunan, China, in 1994. From 2012 to 2016, he
studied in Guizhou University and received his bachelor’s degree in 2016.
From 2016 to 2019, he studied in Guizhou University and received his Mas-
ter’s degree in 2019. Currently, he works in ZOOMLION. He has published
four papers. His research interests are included Mechanical and Electronic
Engineering.

Yangliang Chen, SAIC-GM, Wuhan, Hubei 430000, China

Yangliang Chen was born in Hubei, China, in 1998. From 2016 to 2020,
he studied in Wuhan University Of Technology and received his bachelor’s
degree in 2016. Currently, he works in Wuhan Branch of SAIC-GM. He has
published one papers. His research interests are included Robot control and
Fuel cells.

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Published

2021-05-25

How to Cite

Pan, Z. ., Xiao, Q. ., & Chen, Y. . (2021). Application of State Transition Energy Management Control Algorithm in Fuel Cell. Distributed Generation &Amp; Alternative Energy Journal, 36(1). https://doi.org/10.13052/dgaej2156-3306.3614

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Section

Articles