Dr Carlos Fernandez's Outputs (271)

Molecular fluorinated cobalt phthalocyanine immobilized on ordered mesoporous carbon as an electrochemical sensing platform for sensitive detection of hydrogen peroxide and hydrazine in alkaline medium. (2022)
Journal Article
YUAN, B., SUN, P., FERNANDEZ, C., WANG, H., GUAN, P., XU, H. and NIU, Y. 2022. Molecular fluorinated cobalt phthalocyanine immobilized on ordered mesoporous carbon as an electrochemical sensing platform for sensitive detection of hydrogen peroxide and hydrazine in alkaline medium. Journal of electroanalytical chemistry [online], 906, article 116019. Available from: https://doi.org/10.1016/j.jelechem.2022.116019

Non-precious molecular cobalt phthalocyanine (CoPc) complexes have been considered to be promising electrocatalysts due to diversity of substituents and carbon supporting matrixes. Here, we report a highly dispersed fluorinated CoPc (CoPcF16) molecul... Read More about Molecular fluorinated cobalt phthalocyanine immobilized on ordered mesoporous carbon as an electrochemical sensing platform for sensitive detection of hydrogen peroxide and hydrazine in alkaline medium..

A novel intelligent weight decreasing firefly–particle filtering method for accurate state‐of‐charge estimation of lithium‐ion batteries. (2021)
Journal Article
QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. A novel intelligent weight decreasing firefly-particle filtering method for accurate state-of-charge estimation of lithium-ion batteries. International journal of energy research [online], 46(5), pages 6613-6622Early View. Available from: https://doi.org/10.1002/er.7596

Accurate state-of-charge estimation plays an extremely crucial role in battery management systems. To realize the real-time and precise state-of-charge estimation, an intelligent weight decreasing firefly–particle filtering algorithm is proposed. In... Read More about A novel intelligent weight decreasing firefly–particle filtering method for accurate state‐of‐charge estimation of lithium‐ion batteries..

A novel state of charge estimation method of lithium‐ion batteries based on the IWOA‐AdaBoost‐Elman algorithm. (2021)
Journal Article
LI, H., WANG, S, ISLAM, M., BOBOBEE, E.D., ZOU, C. and FERNANDEZ, C. 2022. A novel state of charge estimation method of lithium-ion batteries based on the IWOA-AdaBoost-Elman algorithm. International journal of energy research [online], 46(4), pages 5134-5151. Available from: https://doi.org/10.1002/er.7505

Lithium-ion (Li-ion) battery is a very complex nonlinear system. The data-driven state of charge (SOC) estimation method of Li-ion battery avoids complex equivalent circuit modeling and parameter identification, which can describe the nonlinearity of... Read More about A novel state of charge estimation method of lithium‐ion batteries based on the IWOA‐AdaBoost‐Elman algorithm..

A novel state of charge estimation for energy storage systems based on the joint NARX network and filter algorithm. (2021)
Journal Article
LI, H., ZOU, C., FERNANDEZ, C., WANG, S., FAN, Y. and LIU, D. 2021. A novel state of charge estimation for energy storage systems based on the joint NARX network and filter algorithm. International journal of electrochemical science [online], 16(12), article 211213. Available from: https://doi.org/10.20964/2021.12.50

Lithium-ion batteries have the advantage of high energy density, low self-discharge rate, and long cycle life, and are currently the most widely used energy storage carriers. Accurate state of charge (SOC) estimation is essential to ensure the lithiu... Read More about A novel state of charge estimation for energy storage systems based on the joint NARX network and filter algorithm..

On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects. (2021)
Journal Article
SHI, H., WANG, S., WANG, L., XU, W., FERNANDEZ, C., DABLU, B.E. and ZHANG, Y. 2022. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects. Journal of power sources [online], 517, article 230725. Available from: https://doi.org/10.1016/j.jpowsour.2021.230725

The accurate modeling of lithium-ion batteries is extremely important to improve the reliability of battery management systems, and solving the problem of multi-time scales is extremely beneficial for high-accuracy battery modeling and adaptive async... Read More about On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects..

Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries. (2021)
Journal Article
WANG, S., FAN, Y., YU, C., JIN, S., FERNANDEZ, C. and STROE, D.-I. 2022. Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium-ion batteries. International journal of energy research [online], 46(3), pages 3602-3620. Available from: https://doi.org/10.1002/er.7408

As for the cell-to-cell inconsistency of packing lithium-ion batteries, accurate equivalent modeling plays a significant role in the working characteristic monitoring and improving the safety protection quality under complex working conditions. In th... Read More about Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries..

Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium‐ion battery state‐of‐charge estimation. (2021)
Journal Article
YANG, X., WANG, S., XU, W., QIAO, J., YU, C. and FERNANDEZ, C. 2022. Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium-ion battery state-of-charge estimation. International journal of circuit theory and applications [online], 50(2), pages 614-632. Available from: https://doi.org/10.1002/cta.3166

To solve the problem of the slow convergence speed for the battery state-of-charge estimation of cubature Kalman filter algorithm, the ternary lithium-ion battery is taken as the research object, and an algorithm combining the fuzzy self-adaptation a... Read More about Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium‐ion battery state‐of‐charge estimation..

Electrochemical determination of chemical oxygen demand in mixed organic solution by Al/SnO2-TiO2 electrode. (2021)
Journal Article
LI, X., SHANG, Y., FERNANDEZ, C., PEI, T. and WANG, L. 2021. Electrochemical determination of chemical oxygen demand in mixed organic solution by Al/SnO2-TiO2 electrode. International journal of electrochemical science [online], 16(11), article 211111. Available from: https://doi.org/10.20964/2021.11.45

Chemical oxygen demand (COD) is one of the most significant parameters in water-quality analysis, such as wastewater effluent monitoring. However, COD determination faces challenges of long measuring time and the use of toxic substances. In this work... Read More about Electrochemical determination of chemical oxygen demand in mixed organic solution by Al/SnO2-TiO2 electrode..

A novel joint estimation method of state of charge and state of health based on the strong tracking-dual adaptive extended Kalman filter algorithm for the electric vehicle lithium-ion batteries. (2021)
Journal Article
XIONG, R., WANG, S., FERNANDEZ, C., YU, C., FAN, Y., CAO, W. and JIANG, C. 2021. A novel joint estimation method of state of charge and state of health based on the strong tracking-dual adaptive extended Kalman filter algorithm for the electric vehicle lithium-ion batteries. International journal of electrochemical science [online], 16(11), article 211114. Available from: https://doi.org/10.20964/2021.11.18

In order to enhance the efficiency of electric vehicle lithium-ion batteries, accurate estimation of the battery state is essential. To solve the problems of system noise statistical uncertainty and battery model inaccuracy when using the extended Ka... Read More about A novel joint estimation method of state of charge and state of health based on the strong tracking-dual adaptive extended Kalman filter algorithm for the electric vehicle lithium-ion batteries..

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries. (2021)
Journal Article
WANG, S., JIN, S., BAI, D., FAN, Y., SHI, H. and FERNANDEZ, C. 2021. A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries. Energy reports [online], 7, pages 5562-5574. Available from: https://doi.org/10.1016/j.egyr.2021.08.182

As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life prediction is the key to ensure its reliability. Because of the complex working characteri... Read More about A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries..

A lactoglobulin-composite self-healing coating for Mg alloys. (2021)
Journal Article
FENG, J., PAN, Y., YANG, M., FERNANDEZ, C., CHEN, X. and PENG, Q. 2021. A lactoglobulin-composite self-healing coating for Mg alloys. ACS applied bio materials [online], 4(9), pages 6843-6852. Available from: https://doi.org/10.1021/acsabm.1c00560

Corrosion issue is one of the most crucial bottlenecks for extensive employment of Mg alloys, in particular under harsh engineering conditions. Differing from traditional approaches, a self-healing protective coating composed of lactoglobulin is prop... Read More about A lactoglobulin-composite self-healing coating for Mg alloys..

Freestanding MXene–MnO2 films for Li–CO2 cathodes with low overpotential and long-term cycling. (2021)
Journal Article
WANG, Y., WANG, X., GE, B., GUO, J., FERNANDEZ, C. and PENG, Q. 2021. Freestanding MXene-MnO2 films for Li-CO2 cathodes with low overpotential and long-term cycling. ACS applied energy materials [online], 4(9), 9961–9968. Available from: https://doi.org/10.1021/acsaem.1c01921

The Li−CO2 battery is a potential energy storage device that not only possesses a theoretical energy density as high as 1876 W h kg−1 but also alleviates the consumption of fossil resources by converting the greenhouse gas CO2 into electric energy. H... Read More about Freestanding MXene–MnO2 films for Li–CO2 cathodes with low overpotential and long-term cycling..

A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries. (2021)
Journal Article
QIAO, J., WANG, S., YU, C., SHI, W. and FERNANDEZ, C. 2021. A novel bias compensation recursive least square-multiple weighted dual extended Kalman filtering method for accurate state-of-charge and state-of-health co-estimation of lithium-ion batteries. International journal of circuit theory and applications [online], 49(11), pages 3879-3893. Available from: https://doi.org/10.1002/cta.3115

Abstract - State-of-charge and state-of-health of power lithium-ion batteries are two important state parameters for battery management system monitoring. To accurately estimate the state-of-charge and state-of-health of in real time, the ternary lit... Read More about A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries..

A linear recursive state of power estimation for fusion model component analysis with constant sampling time. (2021)
Journal Article
LI, B., WANG, S., FERNANDEZ, C., YU, C., SHI, W. and FAN, Y. 2021. A linear recursive state of power estimation for fusion model component analysis with constant sampling time. International journal of electrochemical science [online], 16(9), article 210920. Available from: https://doi.org/10.20964/2021.09.14

The state of power of lithium-ion batteries, as the main product of choice for electric and hybrid electric vehicle energy storage systems, is one of the precise feedback control parameters for the battery management system. The proposed research est... Read More about A linear recursive state of power estimation for fusion model component analysis with constant sampling time..

A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. (2021)
Journal Article
CHEN, X., WANG, S., XIE, Y., FERNANDEZ, C. and FAN, Y. 2021. A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 16(9), article 210948. Available from: https://doi.org/10.20964/2021.08.07

The state of charge (SOC) of Lithium-ion battery is one of the key parameters of the battery management system. In the SOC estimation algorithm, the Back Propagation (BP) neural network algorithm is easy to converge to the local optimal solution, whi... Read More about A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries..

A critical review of online battery remaining useful lifetime prediction methods. (2021)
Journal Article
WANG, S., JIN, S., DENG, D. and FERNANDEZ, C. 2021. A critical review of online battery remaining useful lifetime prediction methods. Frontiers in mechanical engineering [online], 7, article 719718. Available from: https://doi.org/10.3389/fmech.2021.719718

Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining service life of lithium-ion batteries has become an important issue. This article reviews the methods for predicting the remaining service life of lithiu... Read More about A critical review of online battery remaining useful lifetime prediction methods..

Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries. (2021)
Journal Article
XIE, Y., WANG, S., FERNANDEZ, C., YU, C., FAN, Y., CAO, W. and CHEN, X. 2021. Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries. International journal of energy research [online], 45(13), pages 19203-19214. Available from: https://doi.org/10.1002/er.7014

Abstract: The rapid development of new energy vehicles puts forward higher requirements for the lithium-ion batteries model construction, high-efficiency condition monitoring and collaborative estimation. An improved high-fidelity second-order autore... Read More about Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries..

A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence. (2021)
Journal Article
ZHANG, L., WANG, S., ZOU, C., FAN, Y., JIN, S. and FERNANDEZ, C. 2021. A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence. International journal of energy research [online], 45(12): environmentally friendly energy solutions, pages 17858-17877. Available from: https://doi.org/10.1002/er.6930

Effective energy prediction is of great importance for the operational status monitoring of high-power lithium-ion battery packs. It should be embedded in the battery system performance evaluation, energy management, and safety protection. A new Stre... Read More about A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence..

A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries. (2021)
Journal Article
SONG, Q., WANG, S., XU, W., SHAO, Y. and FERNANDEZ, C. 2021. A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries. International journal of electrochemical science [online], 16(8), article ID 210823. Available from: https://doi.org/10.20964/2021.08.26

Accurate estimation of SOC of lithium-ion batteries has always been an important work in the battery management system. However, it is often very difficult to accurately estimate the SOC of lithium-ion batteries. Therefore, a novel joint support vect... Read More about A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries..

An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction. (2021)
Journal Article
HUANG, J., WANG, S., XU, W., FERNANDEZ, C., FAN, Y. and CHEN, X. 2021. An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction. International journal of electrochemical science [online], 16(7), article ID 21075. Available from: https://doi.org/10.20964/2021.07.29

Li-ion battery health assessment has been widely used in electric vehicles, unmanned aerial vehicle and other fields. In this paper, a new linear prediction method is proposed. By weakening the sensitivity of the Rainflow algorithm to the peak data,... Read More about An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction..