Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method

Zhou, Daming; Al‐Durra, Ahmed; Matraji, Imad; Ravey, Alexandre; Gao, Fei

doi:10.1109/tie.2018.2803723

Cited by 164 publications

(83 citation statements)

References 32 publications

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“…The open circuit voltage V oc of the single fuel cell is mainly determined by the operating conditions of the PEMFC stack which can be calculated through the Nernst equation and the principle of the Gibbs free energy change [5,7,19]:…”

Section: Thermal and Electrochemical Modeling Of Open-cathode Pemfcmentioning

confidence: 99%

“…Based on the empirical formula of the PEMFC stack output characteristic, the actual single cell output voltage (V cell ) can be expressed as [5,7,19]: K)).…”

Section: Thermal and Electrochemical Modeling Of Open-cathode Pemfcmentioning

confidence: 99%

“…Among these technologies, proton exchange membrane fuel cell (PEMFC) gains much attention due to the advantage of good dynamic response, non-pollution, high efficiency, and quick start-up, which has been widely used in automotive applications, stationary power station, combined heat and power (CHP) and portable backup system [5][6][7][8]. The key component of hydrogen energy utilization is the fuel cell.…”

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confidence: 99%

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Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy

Yin

Wang

et al. 2019

Asian Journal of Control

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Improving the efficiency of the proton exchange membrane fuel cell (PEMFC) system is the main problem should be solved for the commercialization of PEMFC. In this paper, the efficiency characteristic of PEMFC system under load and stack temperature variation is analyzed through theoretical modeling and experimental verification. For high efficiency operation of PEMFC system, the maximum efficiency control strategy (MECS) is proposed for thermal management of PEMFC system. According to the efficiency characteristics of PEMFC system, the optimal efficiency trajectory of system is obtained under maximum efficiency optimization (MEO). As PEMFC system is a nonlinear system with the characteristics of time-variation, and uncertainty, a constrained generalized predictive control (CGPC) is proposed to realize realtime optimal efficiency trajectory tracking. The MECS based on MEO and CGPC is implemented on-line, experimentally validated on the established H-300 open-cathode PEMFC system. The experimental result shows better tracking ability compared with PID control and testifies the validity of MECS for increasing the system efficiency. Therefore, the proposed MECS can provide better system dynamic response and higher system efficiency. KEYWORDS constrained generalized predictive control (CGPC), maximum efficiency control strategy (MECS), maximum efficiency optimization (MEO), Proton exchange membrane fuel cell (PEMFC), thermal management 1 | INTRODUCTIONWith the rapid development of science and technology, energy shortage and environmental pollution have attracted widely attention in the last decade. Hence, the development and utilization of clean and renewable energy become the inevitable trend in the world [1,2]. As the renewable energy such as solar and wind have the characteristic of intermittency and uncertainty, it is generally difficult to match the energy production with the energy demand in application [3,4]. Therefore, it is necessary to introduce hydrogen energy as the transit energy to help matching the energy production and energy demand. As an energy storage medium, hydrogen energy cross the fields of electricity, heat and fuel, which can promote the integration of energy supply and improve ---This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Thermal and Electrochemical Modeling Of Open-cathode Pemfcmentioning

confidence: 99%

“…Based on the empirical formula of the PEMFC stack output characteristic, the actual single cell output voltage (V cell ) can be expressed as [5,7,19]: K)).…”

Section: Thermal and Electrochemical Modeling Of Open-cathode Pemfcmentioning

confidence: 99%

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confidence: 99%

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Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy

Yin

Wang

et al. 2019

Asian Journal of Control

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“…In order to ensure that the database can resist attacks, an effective marking algorithm must have strong robustness. Inspired by literature, [15][16][17] in this article, a one-way hash function is used as the marking algorithm, which always outputs a fixed length hash value for a certain length of input message, and the hash function is characterized by the easy computation of the forward calculation, and the difficulty of the reverse computer is greatly improved ( Figure 5).…”

Section: Generation Of Watermark Independent Component and Marking Ofmentioning

confidence: 99%

Research on database watermarking based on Independent Component Analysis and multiple rolling

Cao

Shi

2019

International Journal of Distributed Sensor Networks

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Digital watermarking is an important branch of information hiding technology research field. It is a technology that embeds identifiable data into digital works. In order to protect the copyright of digital products, the basic idea is to embed confidential information in digital products such as images, audio, and video to realize data fusion. The current digital watermarking technology is mainly concentrated in the field of multimedia information (such as images, audio, and video) and made good progress. In this article, based on the large database capacity, and much numerical data characteristics, we proposed a separate component analysis on the database watermarking method. First, this article uses a oneway hash function as the marking algorithm to determine the tuple according to the user's given key, the tuple primary key value, and the tuple scale that needs to be marked. Then the watermark is extracted through the key, and the watermarked information is taken out in the database. The matrix is separated by the ratio Independent Component Analysis algorithm, and the watermark is used to separate the matrix. This kind of watermark information is rolled up, and the information in the original database is kept independent of each other, and the embedded watermark information is changed by the smaller carrier. The Independent Component Analysis method is used to extract the watermark image, and the ratio Independent Component Analysis method is used to solve the problem of the influence of the uncertainty of the arrangement order. The experimental results show that the proposed method has a good detection effect.

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“…Inspired by the idea of multi-information fusion approach, 16,17 the basis theory of the proposed AdaBoost ensemble learning is to improve the performance of a single classifier by the combining multiple classifiers. Its learning performance depends on the diversity of individual learners and the effective combination of classifiers.…”

Section: Introductionmentioning

confidence: 99%

A novel ensemble support vector machine model for land cover classification

Liu

Huang

2019

International Journal of Distributed Sensor Networks

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Nowadays, support vector machines are widely applied to land cover classification although this method is sensitive to parameter selection and noise samples. AdaBoost is an effective approach to find a highly accurate classifier by combining many weak and accurate classifiers. In this article, a novel ensemble support vector machine model that uses AdaBoost approach is proposed to mitigate the influence of noises and error parameters with focus on application on land cover classification. The key characteristics of this approach are that (1) a novel noise filtering scheme that avoids the noisy examples based on fuzzy clustering and principal component analysis algorithm is proposed to remove both attribute noises and class noises to achieve an optimal clean set and (2) support vector machine classifiers, based on the particle swarm optimization algorithm, are seen to component classifiers. We then combined finally individual prediction through AdaBoost algorithm to induce the final classification results on this new training set. A set of experiments is conducted on land cover classification for testing the performance of the proposed algorithm. Experimental results show that the classification accuracy can be increased using our proposed learning model, which results in the smallest generalization error compared with the other learning methods.

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Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method

Cited by 164 publications

References 32 publications

Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy

Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy

Research on database watermarking based on Independent Component Analysis and multiple rolling

A novel ensemble support vector machine model for land cover classification

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