LAPSE:2023.29413
Published Article

LAPSE:2023.29413
Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle
April 13, 2023
Abstract
The power distribution strategy of hybrid power sources is an important issue for fuel cell vehicles. A good power distribution control strategy can realize the optimal control of the vehicle energy, which can save energy and improve the operating conditions of the power source. Therefore, this article proposes a power distribution strategy. First, in order to solve the problems existing in the existing fuel cell model and the lithium-ion battery model, an improved hybrid power system model with better dynamic performance was established in the Simulink. Second, in order to ensure the durability of the power system, operation constraints are added to the distribution strategy. Finally, the power allocation is regarded as a nonlinear programming optimization problem and solved by a nonlinear programming algorithm. The nonlinear programming algorithm selects the BFGS algorithm. The simulation results of other control strategies in MATLAB show that the proposed power distribution strategy greatly improves the durability of the vehicle and has good adaptability under urban conditions. This distribution method can provide support for the actual application of offline control strategies.
The power distribution strategy of hybrid power sources is an important issue for fuel cell vehicles. A good power distribution control strategy can realize the optimal control of the vehicle energy, which can save energy and improve the operating conditions of the power source. Therefore, this article proposes a power distribution strategy. First, in order to solve the problems existing in the existing fuel cell model and the lithium-ion battery model, an improved hybrid power system model with better dynamic performance was established in the Simulink. Second, in order to ensure the durability of the power system, operation constraints are added to the distribution strategy. Finally, the power allocation is regarded as a nonlinear programming optimization problem and solved by a nonlinear programming algorithm. The nonlinear programming algorithm selects the BFGS algorithm. The simulation results of other control strategies in MATLAB show that the proposed power distribution strategy greatly improves the durability of the vehicle and has good adaptability under urban conditions. This distribution method can provide support for the actual application of offline control strategies.
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Keywords
fuel cell vehicle, lithium-ion battery, nonlinear programming, power distribution, vehicle engineering
Subject
Suggested Citation
He Y, Miao C, Wu J, Zheng X, Liu X, Liu X, Han F. Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle. (2023). LAPSE:2023.29413
Author Affiliations
He Y: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Miao C: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Wu J: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Zheng X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Liu X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Liu X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Han F: Chongqing Changan New Energy Technology Co., Ltd., Chonging 401120, China
Miao C: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Wu J: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Zheng X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Liu X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Liu X: Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230000,China
Han F: Chongqing Changan New Energy Technology Co., Ltd., Chonging 401120, China
Journal Name
Energies
Volume
14
Issue
3
First Page
734
Year
2021
Publication Date
2021-01-30
ISSN
1996-1073
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Original Submission
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PII: en14030734, Publication Type: Journal Article
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LAPSE:2023.29413
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https://doi.org/10.3390/en14030734
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Apr 13, 2023
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