Development of a real-time link-based predictive energy management strategy for extending FCEV lifespan using an experiment-driven degradation model

Geunyoung Park, Kyunghwan Choi, Minjun Kim, EunAe Cho, Kyungsub Sung and Dongsuk Kum

Applied Energy, 2025, vol. 397, issue C, No S0306261925009766

Abstract: Fuel cell electric vehicles (FCEVs) face durability challenges primarily due to cell degradation influenced by power variations and operational ranges. This issue can be mitigated through an energy management strategy (EMS), with many durability-focused studies employing predictive EMS (P-EMS) for high performance. However, existing strategies often rely on highly uncertain future vehicle trajectories, such as velocity or power demand, leading to a shortened horizon length and significant loss of optimality. This study proposes a novel link-based, durability-focused P-EMS optimized on a per-link basis, achieving near-optimal performance. The key innovation lies in reformulating the problem from trajectory optimization to parameter optimization, expressed as a quadratic programming (QP) problem, which enables real-time implementation. The degradation model consists of dynamic and quasi-static operations, where the quasi-static model is developed based on experimental data. A multi-objective optimal control problem is then formulated, revealing a Pareto optimal relationship between degradation and system efficiency through a dynamic programming (DP) algorithm that ensures global optimality. Building on insights from DP results, the proposed approach analytically reformulates the problem, requiring easily predictable driving parameters such as travel time and energy demand that represent link conditions. The simulation results reveal that, when prioritizing cell degradation protection, the proposed method achieves high performance comparable to DP, with a minimal loss of optimality (1.5 % in fuel economy and 6.7 % in fuel cell degradation) while showing an impressive average computational time of merely 2.5 ms.

Keywords: Predictive energy management strategy (P-EMS); Fuel cell electric vehicle (FCEV); Fuel cell degradation protection; Fuel cell degradation modeling; Optimal control (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925009766
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:397:y:2025:i:c:s0306261925009766

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126246

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().