Dr Carlos Fernandez's Outputs (271)

Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries. (2022)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., YU, C., XU, W., DABLU, B.E. and WANG, L. 2022. Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries. Applied energy [online], 324, article 119789. Available from: https://doi.org/10.1016/j.apenergy.2022.119789

The rapid development of new energy fields such as electric vehicles and smart grids has put forward higher requirements for the power management of battery integrated systems. Considering that internal temperature and parameter consistency are impor... Read More about Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries..

A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries. (2022)
Journal Article
PENG, J., SHI, H., WANG, S., WANG, L., FERNANDEZ, C., XIONG, X. and DABLU, B.E. 2022. A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries. Energy science and engineering [online], 10(10), pages 3727-3740. Available from: https://doi.org/10.1002/ese3.1268

The accuracy of lithium-ion battery state estimation is critical to the safety of unmanned aerial vehicles (UAVs). In this paper, aiming at the high-fidelity modeling of the UAV lithium-ion battery, a splice-electrochemical polarization model (S-EPM)... Read More about A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries..

Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation. (2022)
Journal Article
FAN, Y., QIU, J., WANG, S., YANG, X., LIU, D. and FERNANDEZ, C. 2022. Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation. Metals [online], 12(8), article 1331. Available from: https://doi.org/10.3390/met12081331

Accurate prediction of the remaining useful life (RUL) of lithium–ion batteries is the focus of lithium–ion battery health management. To achieve high–precision RUL estimation of lithium–ion batteries, a novel RUL prediction model is proposed by comb... Read More about Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation..

A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
ZHANG, M., WANG, S., YANG, X., XU, W., YANG, X. and FERNANDEZ, C. 2022. A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(9), article 220915. Available from: https://doi.org/10.20964/2022.09.27

Lithium-ion battery state-of-charge (SOC) serves as an important battery state parameter monitored by the battery management system (BMS), real-time and accurate estimation of the SOC is vital for safe, reasonable, and efficient use of the battery as... Read More about A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries..

A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. (2022)
Journal Article
PAN, Y., YIN, C., FERNANDEZ, C., FU, L. and LIN, C.-T. 2022. A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. Polymers [online], 14(15), article 3011. Available from: https://doi.org/10.3390/polym14153011

Flame-retardant science and technology are sciences developed to prevent the occurrence of fire, meet the needs of social safety production, and protect people's lives and property. Rigid polyurethane (PU) is a polymer formed by the additional polyme... Read More about A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021..

Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions. (2022)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., HUANG, J., XU, W. and WANG, L. 2022. Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions. International journal of energy research [online], 46(12), pages 17096-17112. Available from: https://doi.org/10.1002/er.8373

Temperature and cell hysteretic effects are two major factors that influence the reliability and safety in long-term management of battery-integrated systems. In this paper, a hysteresis-compensated electrical characteristic model is established to t... Read More about Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions..

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..