Advanced Control Strategies for Hybrid Fuel Cell/Lithium-Ion Battery Systems in Renewable Applications
再生可能エネルギー応用におけるハイブリッド燃料電池/リチウムイオン電池システムの高度制御戦略 (AI 翻訳)
Trilla L, Arias P, Clemente A, Gevorkov L, Domínguez-García JL
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギー向けに燃料電池とリチウムイオン電池を組み合わせたハイブリッドシステムのエネルギー管理に、モデル予測制御（MPC）を適用する。提案手法は、コスト関数の重み調整により燃料電池の保護とバッテリ寿命の延長を柔軟に優先でき、シミュレーションで有効性を実証している。
English
This paper applies Model Predictive Control (MPC) to energy management in hybrid fuel cell and lithium-ion battery systems for renewable applications. The proposed method flexibly prioritizes fuel cell conservation or battery lifetime extension via tunable cost weights, validated through simulations under realistic conditions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の再エネ導入拡大に伴い、出力変動を吸収する蓄電システムの高度制御は重要。本手法は系統安定化や水素活用の促進に寄与し、SSBJや再エネ政策の文脈でも関連する。
In the global GX context
As global grids integrate more renewables, advanced control of hybrid storage systems is critical. This MPC approach enhances reliability and economic viability, aligning with global energy transition and climate goals.
👥 読者別の含意
🔬研究者:Provides a scalable MPC framework for hybrid energy systems, useful for further optimization studies.
🏢実務担当者:Offers a control strategy to improve hybrid system efficiency and battery longevity, relevant for renewable project developers.
📄 Abstract（原文）
This paper presents a Model Predictive Control (MPC)-based energy management strategy for hybrid power systems combining a proton-exchange membrane fuel cell (PEMFC) with a lithium iron phosphate (LFP) battery storage unit for renewable energy applications. The proposed framework optimizes power allocation between the two sources while respecting operational constraints, including current limits, power balance requirements, and state-of-charge (SOC) bounds with soft constraints to prevent overcharging and deep discharging. Unlike conventional rule-based approaches, the MPC formulation employs a quadratic cost function with tunable weighting factors that enable flexible prioritization of either fuel cell conservation or battery lifetime extension. Accurate yet computationally efficient models are developed for both components: an equivalent circuit model for the LFP battery and a theoretical electrochemical model for the PEMFC. The performance of the proposed strategy is validated through comprehensive simulations under realistic renewable generation and load profiles. Five case studies are examined, each representing different operational scenarios characterized by varying initial SOC conditions and component prioritization weights. The results demonstrate that the MPC-based approach effectively manages power distribution, maintains SOC within safe operating ranges, and adapts to changing system conditions. Quantitative analysis shows that the tunable weighting strategy successfully limits high-current events, reducing stress on the battery and extending its operational lifetime. The proposed framework offers a scalable and flexible solution for improving the reliability and economic viability of hybrid energy storage in modern renewable grids.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202608.0541.v1first seen 2026-08-11 04:21:53
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