4.7 Article

Q-learning based energy management strategy for a hybrid multi-stack fuel cell system considering degradation

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Operating Cost Comparison of a Single-Stack and a Multi-Stack Hybrid Fuel Cell Vehicle Through an Online Hierarchical Strategy

Mohammadreza Moghadari et al.

Summary: This paper compares the operating cost of a single-stack and a multi-stack fuel cell hybrid electric vehicle (FC-HEV), including hydrogen consumption and degradation of the fuel cell (FC). A hierarchical energy management strategy (EMS) is developed for the multi-stack system. Results show that the FC-HEV with a multi-stack structure has lower hydrogen and degradation costs compared to the single-stack structure.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Review Energy & Fuels

Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles

Adem Siraj Mohammed et al.

Summary: This paper provides a comprehensive review on the importance of energy management strategies and optimal power source sizing for fuel cell/battery/super capacitor hybrid electric vehicles. The study demonstrates that integrating energy management strategies and hybrid energy source sizing can improve fuel economy, system efficiency, and reduce energy losses and battery degradation.

ENERGY REPORTS (2023)

Article Thermodynamics

Total travel costs minimization strategy of a dual-stack fuel cell logistics truck enhanced with artificial potential field and deep reinforcement learning

Jianhao Zhou et al.

Summary: A self-adaptive energy management strategy (EMS) is proposed to adjust power allocation between fuel cell and battery system using artificial potential field (APF) functions and deep deterministic policy gradient (DDPG) algorithm, aiming to reduce total costs and extend fuel cell longevity.

ENERGY (2022)

Article Automation & Control Systems

Power Optimization Distribution Method for Fuel Cell System Cluster Comprehensively Considering System Economy

Tianhong Wang et al.

Summary: This article proposes a power allocation method for fuel cell system clusters (FCSC) that is relevant to the system's economy and considers multiple factors influencing operating costs. Efficiency, hydrogen consumption, and stack degradation are analyzed and represented using high-order polynomials, with an online identification algorithm used to update system parameters in real-time. The cost function also considers stack degradation, and constraints are added to limit FC output power to ensure high efficiency operation. The effectiveness of the proposed method is verified through hardware-in-the-loop simulation and comparison with an equal distribution strategy.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Thermodynamics

Towards net-zero smart system: An power synergy management approach of hydrogen and battery hybrid system with hydrogen safety consideration

Jianwei Li et al.

Summary: This paper focuses on the energy management of building systems, proposes a power management method based on game theory, and designs a hybrid system of hydrogen and battery to address the constraints and issues in energy management. The research findings show that the proposed method has a longer lifespan and lower hydrogen tank temperature compared to other strategies.

ENERGY CONVERSION AND MANAGEMENT (2022)

Article Energy & Fuels

Downgrade power allocation for multi-fuel cell system (MFCS) based on minimum hydrogen consumption

YiFan Liang et al.

Summary: This article presents a downgrade strategy power allocation scheme to address the issue of non-optimal solutions in the low power range of multi-stack systems. The scheme combines hydrogen consumption fitting curve and Lagrange function to solve condition constraint and obtain an analytical solution for power allocation. The effectiveness of the optimized scheme is verified through experiments.

ENERGY REPORTS (2022)

Article Energy & Fuels

Fuzzy logic-based energy management system for grid-connected residential DC microgrids with multi-stack fuel cell systems: A multi-objective approach

F. J. Vivas et al.

Summary: This paper proposes a fuzzy logic-based energy management system (EMS) to address the complexity of hybrid energy storage systems (HESS) in renewable residential DC microgrids. The proposed EMS improves the performance of the microgrid in terms of efficiency, operating costs, and lifespan of the HESS by considering multiple variables and stages using fuzzy logic control.

SUSTAINABLE ENERGY GRIDS & NETWORKS (2022)

Article Automation & Control Systems

Comparison of Decentralized ADMM Optimization Algorithms for Power Allocation in Modular Fuel Cell Vehicles

Arash Khalatbarisoltani et al.

Summary: This article explores the application of two novel decentralized convex optimization frameworks based on ADMM in modular fuel cell vehicles, demonstrating their effectiveness through numerical simulations and experiments, highlighting that decomposition into decentralized forms enables faster solutions to complex optimization problems and provides modularity and flexibility.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022)

Article Energy & Fuels

Online energy management strategy considering fuel cell fault for multi-stack fuel cell hybrid vehicle based on multi-agent reinforcement learning

Wenzhuo Shi et al.

Summary: This paper proposes an energy management strategy based on independent Q-learning for the hybrid power system of fuel cell hybrid vehicles. The strategy is simple in design and ensures the normal operation of the system in case of fuel cell failure.

APPLIED ENERGY (2022)

Article Automation & Control Systems

Comparison of Decentralized ADMM Optimization Algorithms for Power Allocation in Modular Fuel Cell Vehicles

Arash Khalatbarisoltani et al.

Summary: This article discusses the importance of modular powertrains in future hybrid fuel cell vehicles, proposes two decentralized convex optimization frameworks for solving power allocation strategy problems, and validates the effectiveness of these algorithms through numerical simulations and experiments.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022)

Article Chemistry, Physical

Increment-oriented online power distribution strategy for multi-stack proton exchange membrane fuel cell systems aimed at collaborative performance enhancement

Xin Li et al.

Summary: This paper proposes an incremental power distribution strategy for achieving online collaborative performance enhancement between fuel economy and durability in parallel multi-stack fuel cell systems. The strategy obtains a quantitative correlation between fuel economy and durability through analytical power increments and utilizes an iterative high-order sliding-mode differentiation procedure to improve applicability and fault tolerance. The strategy is verified to ensure fault tolerance operation and collaborative performance enhancement in multi-stack fuel cell systems with minimum hydrogen consumption and maximum service life compared to other advanced strategies.

JOURNAL OF POWER SOURCES (2021)

Article Thermodynamics

Real-time cost-minimization power-allocating strategy via model predictive control for fuel cell hybrid electric vehicles

Yang Zhou et al.

Summary: In this paper, a real-time cost minimization energy management strategy for fuel cell/battery-based hybrid electric vehicles is proposed using model predictive control. Results show that the strategy can effectively reduce operating costs and extend fuel cell lifetime, demonstrating good real-time practicality.

ENERGY CONVERSION AND MANAGEMENT (2021)

Article Green & Sustainable Science & Technology

Improved efficiency maximization strategy for vehicular dual-stack fuel cell system considering load state of sub-stacks through predictive soft-loading

Caizhi Zhang et al.

Summary: This study proposes an improved overall efficiency maximization strategy that combines a predictive soft-loading method to improve the load state of sub-stacks while ensuring the approximate maximum efficiency. It effectively limits the loading speed to enhance durability and achieve better fuel economy, especially for urban driving cycles.

RENEWABLE ENERGY (2021)

Article Automation & Control Systems

Nonlinear Model Predictive Control for the Energy Management of Fuel Cell Hybrid Electric Vehicles in Real Time

Derick Furquim Pereira et al.

Summary: This article presents an energy management system (EMS) for a fuel cell (FC) hybrid electric vehicle based on non-linear model predictive control (NMPC), showing improved fuel economy and reduced degradation of the fuel cell.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Automation & Control Systems

Efficiency Upgrade of Hybrid Fuel Cell Vehicles' Energy Management Strategies by Online Systemic Management of Fuel Cell

Mohsen Kandidayeni et al.

Summary: This article proposes an approach for boosting the efficiency of energy management strategies in fuel cell hybrid electric vehicles through online systemic management of the fuel cell system, utilizing simultaneous regulation of current and temperature. Experimental results show that integrating this systemic management into EMS design can enhance efficiency and reduce hydrogen consumption.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Automation & Control Systems

A Distributed Performance Consensus Control Strategy of Multistack PEMFC Generation System for Hydrogen EMU Trains

Xiang Meng et al.

Summary: This study introduces the electricity generation system MFCS and control strategy for hydrogen EMU trains, proposing a distributed performance consensus control strategy. Through experiments, the effectiveness and robustness of the strategy are verified, demonstrating superiority over traditional strategies.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Automation & Control Systems

Online Control and Power Coordination Method for Multistack Fuel Cells System Based on Optimal Power Allocation

Yu Yan et al.

Summary: This study proposed an optimal coordination method for multistack fuel cell systems by gradually obtaining the efficiency distribution function of the entire system based on the energy consumption model of each stack with different parameters. By considering the power range of each stack, the optimal power setpoint for each stack was found to reduce overall energy consumption and hydrogen consumption.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Engineering, Electrical & Electronic

Hierarchical Power Allocation Method Based on Online Extremum Seeking Algorithm for Dual-PEMFC/Battery Hybrid Locomotive

Tianhong Wang et al.

Summary: This paper introduces a hierarchical power allocation method for dual-stack fuel cell hybrid locomotive powertrain, utilizing multi-stack system and batteries as energy storage source. The study incorporates online identification and SQP scheme to update system parameters and find optimal solutions for efficient operation, along with using ECMS as a benchmark. Experimental results show that the proposed method can optimize system efficiency and reduce fuel consumption.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

Xiaosong Hu et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)

Article Engineering, Multidisciplinary

A Power Allocation Method for Multistack PEMFC System Considering Fuel Cell Performance Consistency

Tianhong Wang et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Article Automation & Control Systems

Optimal power distribution control for a network of fuel cell stacks

Resmi Suresh et al.

JOURNAL OF PROCESS CONTROL (2019)

Article Thermodynamics

A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging

Xiaopeng Tang et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

Article Chemistry, Physical

Hydrogen consumption minimization method based on the online identification for multi-stack PEMFCs system

Tianhong Wang et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2019)

Article Engineering, Electrical & Electronic

Real-Time Energy Management Strategy for Fuel Cell Range Extender Vehicles Based on Nonlinear Control

Yuanzhi Zhang et al.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2019)

Article Chemistry, Physical

Overview and benchmark analysis of fuel cell parameters estimation for energy management purposes

M. Kandidayeni et al.

JOURNAL OF POWER SOURCES (2018)

Article Engineering, Electrical & Electronic

Energy- and Power-Split Management of Dual Energy Storage System for a Three-Wheel Electric Vehicle

Joao Pedro F. Trovao et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Article Chemistry, Physical

On the sizing and energy management of an hybrid multistack fuel cell - Battery system for automotive applications

Neigel Marx et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Article Chemistry, Physical

Economic energy management strategy design and simulation for a dual-stack fuel cell electric vehicle

Xu Han et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Review Chemistry, Physical

A review of multi-stack and modular fuel cell systems: Interests, application areas and on-going research activities

N. Marx et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2014)

Article Chemistry, Physical

Online identification of semi-empirical model parameters for PEMFCs

K. Ettihir et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2014)

Article Chemistry, Physical

A quick evaluating method for automotive fuel cell lifetime

Pucheng Pei et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2008)