Dr Carlos Fernandez's Outputs (304)

A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., REN, P., TAKYI-ANINAKWA, P., JIN, S. and FERNANDEZ, C. 2022. A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries. Energies [online], 15(14), article 5053. Available from: https://doi.org/10.3390/en15145053

Lithium-ion batteries are widely used as effective energy storage and have become the main component of power supply systems. Accurate battery state prediction is key to ensuring reliability and has significant guidance for optimizing the performance... Read More about A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries..

Research on SOC estimation for lithium ion batteries based on improved PNGV equivalence model and AF-UKF algorithm. (2022)
Journal Article
ZHOU, H., WANG, S., YU, C., XIA, L. and FERNANDEZ, C. 2022. Research on SOC estimation for lithium ion batteries based on improved PNGV equivalence model and AF-UKF algorithm. International journal of electrochemical science [online], 17(8), article ID 220836. Available from: https://doi.org/10.20964/2022.08.31

Accurately estimating the state of charge of lithium-ion batteries is of great significance for real-time monitoring and safety control of batteries. To solve the problems of difficult real-time estimation and low estimation accuracy of lithium batte... Read More about Research on SOC estimation for lithium ion batteries based on improved PNGV equivalence model and AF-UKF algorithm..

A strong tracking adaptive fading-extended Kalman filter for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., APPIAH, E., BOBOBEE, E.D. and FERNANDEZ, C. 2022. A strong tracking adaptive fading-extended Kalman filter for the state of charge estimation of lithium-ion batteries. International journal of energy research [online], 46(12), pages 16427-16444. Available from: https://doi.org/10.1002/er.8307

Lithium-ion batteries are widely used as rechargeable energy and power storage system in smart devices and electric vehicles because of their high specific energy, high power densities, etc. The state of charge (SOC) serves as a vital feature that is... Read More about A strong tracking adaptive fading-extended Kalman filter for the state of charge estimation of lithium-ion batteries..

Effect of biosynthesized silver nanoparticles on bacterial biofilm changes in S. aureus and E. coli. (2022)
Journal Article
HOSNEDLOVA, B., KABANOV, D., KEPINSKA, M., NARAYANAN, V.H.B., PARIKESIT, A.A., FERNANDEZ, C., BJØRKLUND, G., NGUYEN, H.V., FARID, A., SOCHOR, J., PHOLOSI, A., BARON, M., JAKUBEK, M. and KIZEK, R. 2022. Effect of biosynthesized silver nanoparticles on bacterial biofilm changes in S. aureus and E. coli. Nanomaterials [online], 12(13), article 2183. Available from: https://doi.org/10.3390/nano12132183

One approach for solving the problem of antibiotic resistance and bacterial persistence in biofilms is treatment with metals, including silver in the form of silver nanoparticles (AgNPs). Green synthesis is an environmentally friendly method to synth... Read More about Effect of biosynthesized silver nanoparticles on bacterial biofilm changes in S. aureus and E. coli..

A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., GAO, H., QIAO, J., CAO, J. and FERNANDEZ, C. 2022. A novel square-root adaptive unscented kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article ID 220735. Available from: https://doi.org/10.20964/2022.07.46

The accurate state-of-charge estimation of the lithium-ion battery is one of the key technologies to benchmark the rapid development of new energy vehicles. Unscented Kalman filtering abandons the traditional way of forcing the system to linearize, s... Read More about A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries..

A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., CAO, J., XIE, Y., GAO, H. and FERNANDEZ, C. 2022. A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article 22072. Available from: https://doi.org/10.20964/2022.07.60

Accurate lithium-ion battery state-of-charge estimation and effective equivalent modeling are important for real-time status monitoring and safety control of lithium-ion batteries. To solve the problem of low accuracy of the second-order RC equivalen... Read More about A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries..

A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. (2022)
Journal Article
LIU, Y., WANG, S., XIE, Y., FERNANDEZ, C., QIU, J. and ZHANG, Y. 2022. A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. International journal of circuit theory and applications [online], 50(10), pages 3372-3386. Available from: https://doi.org/10.1002/cta.3339

Accurate estimation of the state of charge (SOC) of lithium-ion batteries is quite crucial to battery safety monitoring and efficient use of energy; to improve the accuracy of lithium-ion battery SOC estimation under complicated working conditions, t... Read More about A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection..

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation. (2022)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., YU, C., FERNANDEZ, C. and STROE, D.-I. 2022. An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation. Energy [online], 254(Part A), article 124224. Available from: https://doi.org/10.1016/j.energy.2022.124224

The whole-life-cycle state of charge (SOC) prediction plays a significant role in various applications of lithium-ion batteries, but with great difficulties due to their internal capacity, working temperature, and current-rate variations. In this pap... Read More about An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation..

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..