Dr Carlos Fernandez's Outputs (316)

Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction. (2022)
Journal Article
ZHAO, X., WANG, J., WANG, J., YANG, M., YAN, C., ZOU, G., TSE, J.S., FERNANDEZ, C. and PENG, Q. 2022. Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction. Cell reports physical science [online], 3(3), article 100773. Available from: https://doi.org/10.1016/j.xcrp.2022.100773

A cost-effective and long stability catalyst with decent electrochemical activity would play a crucial role in accelerating applications of metal-air batteries. Here, we report quintuple nitrogen and oxygen co-coordinated Zr sites on graphene (Zr-N/O... Read More about Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction..

An adaptive fractional-order unscented Kalman filter for Li-ion batteries in the energy storage system. (2022)
Journal Article
CHEN, L., SHUNLI, W., JIANG, H. and FERNANDEZ, C. 2022. An adaptive fractional-order unscented Kalman filter for li-ion batteries in the energy storage system. Indian journal of physics [online], 96(13), pages 3933-3939. Available from: https://doi.org/10.1007/s12648-022-02314-2

Accurate estimation of the state of charge (SOC) can prolong the working life and enhance the safety of energy storage system. Considering the influence of noise and parameter changes in the operating environment, an adaptive fractional-order unscent... Read More about An adaptive fractional-order unscented Kalman filter for Li-ion batteries in the energy storage system..

A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries. (2022)
Journal Article
SHI, H., WANG, L., WANG, S., FERNANDEZ, C., XIONG, X., DABLU, B.E. and XU, W. 2022. A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries. Journal of energy storage [online], 50, article 104309. Available from: https://doi.org/10.1016/j.est.2022.104309

Accurate modeling of thermal characteristics is critical to the safe use and reliable management of lithium-ion batteries. However, limitations in sensors and testing methods make online real-time acquisition of internal temperatures extremely diffic... Read More about A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries..

Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm. (2022)
Journal Article
LONG, T., WANG, S., CAO, W., REN, P., HE, M. and FERNANDEZ, C. 2022. Collaborative state estimation of lithium-ion battery based on multi-time scale low-pass filter forgetting factor recursive least squares - double extended Kalman filtering algorithm. International journal of circuit theory and applications [online], 50(6), pages 2108-2127. Available from: https://doi.org/10.1002/cta.3250

For the lithium battery management system and real-time safety monitoring, two issues are of great significance, namely, the ability to accurately update the model parameters in real time and to accurately estimate the state of charge and health. In... Read More about Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm..

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model. (2022)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., FAN, Y., YU, C., JIN, S., FERNANDEZ, C. and STROE, D.-I. 2022. A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model. International journal of electrical power and energy systems [online], 139, article 108020. Available from: https://doi.org/10.1016/j.ijepes.2022.108020

Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for lithium-ion batteries and their model performance. In this study, a novel feedback correction-adaptive Kalman filtering (FC-AKF) method is proposed for the on... Read More about A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model..

A novel collaborative multiscale weighting factor‐adaptive Kalman filtering method for the time‐varying whole‐life‐cycle state of charge estimation of lithium‐ion batteries. (2022)
Journal Article
WANG, S., FAN, Y., YU, C., JIN, S., TAKYI-ANINAKWA, P., FERNANDEZ, C. and STROE, D.-I. 2022. A novel collaborative multiscale weighting factor-adaptive Kalman filtering method for the time-varying whole-life-cycle state of charge estimation of lithium-ion batteries. International journal of energy research [online], 46(6), pages 7704-7721. Available from: https://doi.org/10.1002/er.7672

Accurate state of charge (SOC) estimation is essential for the whole-life-cycle safety guarantee and protection of lithium-ion batteries, which is quite difficult to realize. In this study, a novel weighting factor-adaptive Kalman filtering (WF-AKF)... Read More about A novel collaborative multiscale weighting factor‐adaptive Kalman filtering method for the time‐varying whole‐life‐cycle state of charge estimation of lithium‐ion batteries..

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..