Energy management and component sizing for a fuel cell/battery/supercapacitor hybrid powertrain based on two-dimensional optimization algorithms

Hongliang Jiang, Liangfei Xu, Jianqiu Li, Zunyan Hu and Minggao Ouyang

Energy, 2019, vol. 177, issue C, 386-396

Abstract: Optimal algorithms for energy management and component sizing play essential roles in reducing energy consumption and prolonging fuel cell durability of fuel cell electric vehicles. These two problems are usually coupled together, and it is of great importance to study. In this work, an energy consumption and durability model of a bus with a combined fuel cell, battery, and supercapacitor powertrain are introduced. A two-dimensional (2D) dynamic programing (DP) algorithm was designed to minimize energy consumption and system degradation. A real-time energy management strategy based on a 2D Pontryagin's Minimal Principle (2DPMP) was then proposed. Simulation results indicated that the proposed 2DPMP strategy can approximate the optimal strategy of dynamic programming well and showed a reduction in energy consumption and an increase in durability over other strategies. Component parameters and energy management strategy were simultaneously optimized based on the 2DPMP strategy, thus providing a set of optimal powertrain parameters on a Pareto front. Design rules for energy management strategy and component sizing were concluded from the set of optimal solutions.

Keywords: Energy management; Component sizing optimization; 2D dynamic programing; 2D Pontryagin's minimal principle (2DPMP) strategy (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:177:y:2019:i:c:p:386-396

DOI: 10.1016/j.energy.2019.04.110

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