All Outputs (263)

A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling. (2021)
Journal Article
CHEN, L., WANG, S., JIANG, H., FERNANDEZ, C. and XIONG, X. 2021. A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling. International journal of energy research [online], 45(10), pages 15481-15494. Available from: https://doi.org/10.1002/er.6817

Accurate estimation of the state of charge (SOC) of Li-ion battery can ensure the reliability of the storage system. A combined estimator of online full-parameter identification and adaptive unscented particle filter for Li-ion battery SOC based on a... Read More about A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling..

A novel autoregressive rainflow-integrated moving average modeling method for the accurate state of health prediction of lithium-ion batteries. (2021)
Journal Article
HUANG, J., WANG, S., XU, W., SHI, W. and FERNANDEZ, C. 2021. A novel autoregressive rainflow-integrated moving average modeling method for the accurate state of health prediction of lithium-ion batteries. Processes [online], 9(5), article 795. Available from: https://doi.org/10.3390/pr9050795

The accurate estimation and prediction of lithium-ion battery state of health are one of the important core technologies of the battery management system, and are also the key to extending battery life. However, it is difficult to track state of heal... Read More about A novel autoregressive rainflow-integrated moving average modeling method for the accurate state of health prediction of lithium-ion batteries..

A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries. (2021)
Journal Article
XIE, Y., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 16(6), article ID 210623. Available from: https://doi.org/10.20964/2021.06.38

Power Li-ion batteries are one of the core "three powers" systems of new energy vehicles, and its accurate batteries modeling and state prediction have become the core technology of the scientific and technological progress in the industry. This pape... Read More about A novel high-fidelity unscented particle filtering method for the accurate state of charge estimation of lithium-ion batteries..

Novel feedback-Bayesian BP neural network combined with extended Kalman filtering for the battery state-of-charge estimation. (2021)
Journal Article
ZHANG, Y., WANG, S., XU, W., FERNANDEZ, C. and FAN, Y. 2021. Novel feedback-Bayesian BP neural network combined with extended Kalman filtering for the battery state-of-charge estimation. International journal of electrochemical science [online], 16(6), article ID 210624. Available from: https://doi.org/10.20964/2021.06.40

The state of charge estimation of lithium-ion batteries plays an important role in real-time monitoring and safety. To solve the problem that high non-linearity during real-time estimation of lithium-ion batteries who cause that it is dif... Read More about Novel feedback-Bayesian BP neural network combined with extended Kalman filtering for the battery state-of-charge estimation..

A novel adaptive function-dual Kalman filtering strategy for online battery model parameters and state of charge co-estimation. (2021)
Journal Article
FAN, Y., SHI, H., WANG, S., FERNANDEZ, C., CAO, W. and HUANG, J. 2021. A novel adaptive function-dual Kalman filtering strategy for online battery model parameters and state of charge co-estimation. Energies [online], 14(8), article 2268. Available from: https://doi.org/10.3390/en14082268

This paper aims to improve the stability and robustness of the state-of-charge estimation algorithm for lithium-ion batteries. A new internal resistance-polarization circuit model is constructed on the basis of the Thevenin equivalent circuit to char... Read More about A novel adaptive function-dual Kalman filtering strategy for online battery model parameters and state of charge co-estimation..

A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation. (2021)
Journal Article
XU, W., WANG, S., JIANG, C., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. A novel adaptive dual extended Kalman filtering algorithm for the Li-ion battery state of charge and state of health co-estimation. International journal of energy research [online], 45(10), pages 14592-14602. Available from: https://doi.org/10.1002/er.6719

Accurate prediction of the state of health (SOH) of Li-ion battery has an important role in the estimation of battery state of charge (SOC), which can not only improve the efficiency of battery usage but also ensure its safety performance. The batter... Read More about A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation..

Challenges and progresses of lithium-metal batteries. (2021)
Journal Article
WANG, J., GE, B., YANG, M., WANG, J., LIU, D., FERNANDEZ, C., CHEN, X. and PENG, Q. 2021. Challenges and progresses of lithium-metal batteries. Chemical engineering journal [online], 420(1), article 129739. Available from: https://doi.org/10.1016/j.cej.2021.129739

Lithium-metal batteries (LMBs) have received considerable enthusiasm as the candidates for next-generation high energy density storage devices. However, the unexpected electrochemical deposition of metallic Li on the surface of anode has been conside... Read More about Challenges and progresses of lithium-metal batteries..

A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery. (2021)
Journal Article
HE, M., WANG, S., FERNANDEZ, C., YU, C., LI, X. and BOBOBEE, E.D. 2021. A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery. International journal of electrochemical science [online], 16(5), article 21054. Available from: https://doi.org/10.20964/2021.05.55

Lithium-ion batteries are widely used in new energy vehicles, energy storage systems, aerospace and other fields because of their high energy density, long cycle life and high-cost performance. Accurate equivalent modeling, adaptive internal state ch... Read More about A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery..

A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries. (2021)
Journal Article
CHEN, L., WANG, S., JIANG, H., FERNANDEZ, C. and XIONG, X. 2021. A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries. International journal of electrochemical science [online], 16(5), article 210537. Available from: https://doi.org/10.20964/2021.05.64

To ensure the reliability and sustainability of the energy storage system, it is important to accurately estimate the state of charge of the battery management system. The Li-ion battery is established based on fractional-order model, and the model p... Read More about A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries..

Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical-dual circuit polarization modeling. (2021)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical-dual circuit polarization modeling. IOP conference series: earth and environmental science [online], 675: proceedings of 5th Energy engineering and environmental protection international conference 2020 (EEEP 2020), 17-19 November 2020, [virtual conference], article 012192. Available from: https://doi.org/10.1088/1755-1315/675/1/012192

A new composite electrochemistry-dual circuit polarization model (E-DCP) is proposed by combining the advantages of various electrochemical empirical models in this paper. Then, the multi-innovation least squares (MILS) algorithm is used to perform o... Read More about Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical-dual circuit polarization modeling..

Photoelectrochemical applications of electrochemical deposition of Ni2+-doped FeS2 thin films. (2021)
Journal Article
PRABUKANTHAN, P., SREEDHAR, M., THAMARAISELVI, S., HARICHANDRAN, G., SEENUVASAKUMARAN, P., HANAFIAH, M.M. and FERNANDEZ, C. 2021. Photoelectrochemical applications of electrochemical deposition of Ni2+-doped FeS2 thin films. Journal of materials science: materials in electronics [online], 32(5), pages 6331-6343. Available from: https://doi.org/10.1007/s10854-021-05350-6

Different concentration (1–5 mol%) of Ni2+-doped FeS2 thin films were deposited by facile ECD technique. XRD pattern Ni2+ ion-doped FeS2 thin films were cubic structure with the high intensity plane (2 0 0). HRSEM images show that the undoped with 1–... Read More about Photoelectrochemical applications of electrochemical deposition of Ni2+-doped FeS2 thin films..

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter. (2020)
Journal Article
JIANG, C., WANG, S., WU, B., FERNANDEZ, C., XIONG, X. and COFFIE-KEN, J. 2021. A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter. Energy [online], 219, article ID 119603. Available from: https://doi.org/10.1016/j.energy.2020.119603

The control strategy of electric vehicles mainly depends on the power battery state-of-charge estimation. One of the most important issues is the power lithium-ion battery state-of-charge (SOC) estimation. Compare with the extended Kalman filter algo... Read More about A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter..

The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter. (2020)
Journal Article
FAN, Y., WANG, S., JIANG, C. and FERNANDEZ, C. 2021. The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter. International journal of electrochemical science [online], 16(1), article ID 151020. Available from: https://doi.org/10.20964/2021.01.70

Accurate power state estimation plays an important role in the real-time working state monitoring and safety control of high energy lithium-ion batteries. To solve the difficulty and low accuracy problems in its real-time power state estimation under... Read More about The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter..

Theranostic approach for the protein corona of polysaccharide nanoparticles. (2020)
Journal Article
SKALICKOVA, S., HORKY, P., MLEJNKOVA, V., SKLADANDA, J., HOSNEDLOVA, B., RUTTKAY-NEDECKY, B., FERNANDEZ, C. and KIZEK, R. 2021. Theranostic approach for the protein corona of polysaccharide nanoparticles. Chemical record [online], 21(1), pages 17-28. Available from: https://doi.org/10.1002/tcr.202000042

Polysaccharide nanoparticles are promising materials in the wide range of disciplines such as medicine, nutrition, food production, agriculture, material science and others. They excel- not only in their non-toxicity and biodegradability but also in... Read More about Theranostic approach for the protein corona of polysaccharide nanoparticles..

A novel dual correction extended Kalman filtering algorithm for the state of charge real-time estimation of packing lithium-ion batteries. (2020)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2020. A novel dual correction extended Kalman filtering algorithm for the state of charge real-time estimation of packing lithium-ion batteries. International journal of electrochemical science [online], 15(12), pages 12706-12723. Available from: https://doi.org/10.20964/2020.12.52

This paper explores the state estimation method of lithium-ion battery pack through theoretical analysis and experimental research. Combining the advantages of the empirical models of various electrochemical models, a new type of composite electroche... Read More about A novel dual correction extended Kalman filtering algorithm for the state of charge real-time estimation of packing lithium-ion batteries..

Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna. (2020)
Conference Proceeding
HAVELKOVA, B., SEHNAL, K., BANAS, D., KEPINSKA, M., RUTTKAY-NEDECKY, B., STANKOVA, M., FERNANDEZ, C., BEKLOVA, M. and KIZEK, R. 2020. Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna. In Proceedings of 12th Nanomaterials international conference (NANOCON 2020): research and application, 21-23 October 2020, [virtual conference]. Ostrava: Tanger Ltd [online], pages 318-323. Available from: https://doi.org/10.37904/nanocon.2020.3747

Drugs are important xenobiotics in the environment. Their use increases with the growth of the human population, but also in agricultural primary production. Paracetamol (PAR) is a widely used analgesic and antipyretic and its production is still gro... Read More about Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna..

Electroplating of thick hard chromium coating from a trivalent chromium bath containing a ternary complexing agent: a methodological and mechanistic study. (2020)
Journal Article
XU, L., PI, L., DOU, Y., CUI, Y., MAO, X., LIN, A., FERNANDEZ, C. and PENG, C. 2020. Electroplating of thick hard chromium coating from a trivalent chromium bath containing a ternary complexing agent: a methodological and mechanistic study. ACS sustainable chemistry and engineering [online], 8(41), pages 15540-15549. Available from: https://doi.org/10.1021/acssuschemeng.0c04529

Trivalent chromium electroplating is considered a greener alternative to hexavalent chromium electroplating. However, the electrochemical reduction of Cr(III) in aqueous solution is extremely unstable and the thickness of the coating can hardly grow... Read More about Electroplating of thick hard chromium coating from a trivalent chromium bath containing a ternary complexing agent: a methodological and mechanistic study..

Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation. (2020)
Journal Article
XU, W., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2020. Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation. Journal of power electronics [online], 20(6), pages 1541-1549. Available from: https://doi.org/10.1007/s43236-020-00146-z

Accurate estimation of the lithium-ion battery state of charge plays an important role in the real-time monitoring and safety control of batteries. In order to solve the problems that the real-time estimation of the lithium-ion battery is difficult a... Read More about Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation..

High-precision state of charge estimation for the power lithium ion batteries by introducing an improved extended Kalman filtering algorithm with complex varying temperatures. (2020)
Conference Proceeding
XU, W., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and STROE, D.-I. 2020. High-precision state of charge estimation for the power lithium ion batteries by introducting an improved extended Kalman filtering algorithm with complex varying temperatures. In Proceedings of 5th Advanced robotics and mechatronics international conference 2020 (ICARM 2020), 18-21 December 2020, Shenzhen, China [virtual conference]. Piscataway: IEEE [online], pages 700-705. Available from: https://doi.org/10.1109/ICARM49381.2020.9195316

Accurate estimation of the state of charge is important for the rational use of lithium ion batteries and the development of electric vehicles. In order to solve the problem that the internal parameters of lithium battery are greatly affected by the... Read More about High-precision state of charge estimation for the power lithium ion batteries by introducing an improved extended Kalman filtering algorithm with complex varying temperatures..

A novel gaussian particle swarms optimized particle filter algorithm for the state of charge estimation of lithium-ion batteries. (2020)
Journal Article
WANG, X., WANG, S., HUANG, J., FERNANDEZ, C., ZHOU, Y. and CHEN, L. 2020. A novel gaussian particle swarms optimized particle filter algorithm for the state of charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 15(10), pages 10632-10648. Available from: https://doi.org/10.20964/2020.10.21

A gaussian particle swarm optimized particle filter estimation method, along with the second-order resistance-capacitance model, is proposed for the state of charge estimation of lithium-ion battery in electric vehicles. Based on the particle filter... Read More about A novel gaussian particle swarms optimized particle filter algorithm for the state of charge estimation of lithium-ion batteries..