4.7 Article

Application of alternating direction method of multipliers algorithm in energy management of fuel cell vehicles

期刊

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 46, 期 50, 页码 25620-25633

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2021.05.085

关键词

Fuel cell vehicles; Energy management; Convex optimization; Alternating direction method of multipliers

资金

  1. Key Area Research and Development Program of Guangdong Province [2019B090909001]
  2. National Natural Science Foundation of China [U1964206]

向作者/读者索取更多资源

This paper proposes a method based on the ADMM algorithm to solve the energy management problem for fuel cell vehicles, demonstrating faster computation speed and higher accuracy through simulation results.
In this paper, a method based on alternating direction method of multipliers (ADMM) al-gorithm is proposed to solve the energy management problem for fuel cell vehicles (FCVs). Taking the minimum hydrogen consumption as the objective function, a new fuel cell dynamical system and a whole vehicle model that conform to the property of convex function are constructed, and an augmented Lagrangian equation with its scaled dual form is established, which satisfies the standard normal form of ADMM algorithm. For the first time, the ADMM algorithm is applied to energy management system of FCVs. In the meantime, a cyclic constraint inspection strategy is introduced to have a further precise control of the power of the fuel cell system so that it can meet the dynamic change con-straints of the power. Compared with dynamic programming (DP) algorithm off-line calculation results, the simulation results of the proposed method indicate that the calculation of this algorithm is approximately 20-200 times faster than the former in 9 standard driving cycles. And under the two energy management modes by power main-tenance and consumption, the deviation results in terms of the hydrogen consumption derived from the proposed method and DP were 2.37% and 1.06% respectively. (C) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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