Outputs (39)

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..