All Outputs (259)

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 novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. (2021)
Journal Article
CHEN, X., WANG, S., XIE, Y., FERNANDEZ, C. and FAN, Y. 2021. A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 16(9), article 210948. Available from: https://doi.org/10.20964/2021.08.07

The state of charge (SOC) of Lithium-ion battery is one of the key parameters of the battery management system. In the SOC estimation algorithm, the Back Propagation (BP) neural network algorithm is easy to converge to the local optimal solution, whi... Read More about A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge 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..

A critical review of online battery remaining useful lifetime prediction methods. (2021)
Journal Article
WANG, S., JIN, S., DENG, D. and FERNANDEZ, C. 2021. A critical review of online battery remaining useful lifetime prediction methods. Frontiers in mechanical engineering [online], 7, article 719718. Available from: https://doi.org/10.3389/fmech.2021.719718

Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining service life of lithium-ion batteries has become an important issue. This article reviews the methods for predicting the remaining service life of lithiu... Read More about A critical review of online battery remaining useful lifetime prediction methods..

Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries. (2021)
Journal Article
XIE, Y., WANG, S., FERNANDEZ, C., YU, C., FAN, Y., CAO, W. and CHEN, X. 2021. Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries. International journal of energy research [online], 45(13), pages 19203-19214. Available from: https://doi.org/10.1002/er.7014

Abstract: The rapid development of new energy vehicles puts forward higher requirements for the lithium-ion batteries model construction, high-efficiency condition monitoring and collaborative estimation. An improved high-fidelity second-order autore... Read More about Improved gray wolf particle filtering and high-fidelity second-order autoregressive equivalent modeling for intelligent state of charge prediction of lithium-ion batteries..

A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence. (2021)
Journal Article
ZHANG, L., WANG, S., ZOU, C., FAN, Y., JIN, S. and FERNANDEZ, C. 2021. A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence. International journal of energy research [online], 45(12): environmentally friendly energy solutions, pages 17858-17877. Available from: https://doi.org/10.1002/er.6930

Effective energy prediction is of great importance for the operational status monitoring of high-power lithium-ion battery packs. It should be embedded in the battery system performance evaluation, energy management, and safety protection. A new Stre... Read More about A novel streamlined particle-unscented Kalman filtering method for the available energy prediction of lithium-ion batteries considering the time-varying temperature-current influence..

A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries. (2021)
Journal Article
SONG, Q., WANG, S., XU, W., SHAO, Y. and FERNANDEZ, C. 2021. A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries. International journal of electrochemical science [online], 16(8), article ID 210823. Available from: https://doi.org/10.20964/2021.08.26

Accurate estimation of SOC of lithium-ion batteries has always been an important work in the battery management system. However, it is often very difficult to accurately estimate the SOC of lithium-ion batteries. Therefore, a novel joint support vect... Read More about A novel joint support vector machine-cubature Kalman filtering method for adaptive state of charge prediction of lithium-ion batteries..

An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction. (2021)
Journal Article
HUANG, J., WANG, S., XU, W., FERNANDEZ, C., FAN, Y. and CHEN, X. 2021. An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction. International journal of electrochemical science [online], 16(7), article ID 21075. Available from: https://doi.org/10.20964/2021.07.29

Li-ion battery health assessment has been widely used in electric vehicles, unmanned aerial vehicle and other fields. In this paper, a new linear prediction method is proposed. By weakening the sensitivity of the Rainflow algorithm to the peak data,... Read More about An improved rainflow algorithm combined with linear criterion for the accurate li-ion battery residual life prediction..

A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations. (2021)
Journal Article
LI, B., WANG, S., FERNANDEZ, C., YU, C., XIA, L. and FAN, Y. 2021. A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations. Journal of energy storage [online], 40, article ID 102583. Available from: https://doi.org/10.1016/j.est.2021.102583

As the main candidate of energy storage system for electric vehicles and hybrid electric vehicles, lithium-ion battery has attracted extensive attention. The working characteristics of the battery under dynamic stress stimulation are complex and chan... Read More about A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations..

Pumpkin seeds as an eco-friendly corrosion inhibitor for 7075-T6 alloy in 3.5% NaCl solution: electrochemical, surface and computational studies. (2021)
Journal Article
RADI, M., MELIAN, R., GALAI, M., DKHIRCHE, N., MAKHA, M., VERMA, C., FERNANDEZ, C. and EBN TOUHAMI, M. 2021. Pumpkin seeds as an eco-friendly corrosion inhibitor for 7075-T6 alloy in 3.5% NaCl solution: electrochemical, surface and computational studies. Journal of molecular liquids [online], 337, article 116547. Available from: https://doi.org/10.1016/j.molliq.2021.116547

For the aeronautics industry, constraints of mechanical strength are paramount. Aluminum and its alloys are widely used for various household and industrial applications. Among the various established and identified aluminum alloys, 7075 alloy, which... Read More about Pumpkin seeds as an eco-friendly corrosion inhibitor for 7075-T6 alloy in 3.5% NaCl solution: electrochemical, surface and computational studies..

Improved splice‐electrochemical circuit polarization modeling and optimized dynamic functional multi‐innovation least square parameter identification for lithium‐ion batteries. (2021)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. Improved splice-electrochemical circuit polarization modeling and optimized dynamic functional multi-innovation least square parameter identification for lithium-ion batteries. International journal of energy research [online], 45(10), pages 15323-15337. Available from: https://doi.org/10.1002/er.6807

The internal nonlinearity of the lithium-ion battery makes its mathematical modeling a big challenge. In this paper, a novel lithium-ion battery splice-electrochemical circuit polarization (S-ECP) model is proposed, which integrates the strengths of... Read More about Improved splice‐electrochemical circuit polarization modeling and optimized dynamic functional multi‐innovation least square parameter identification for lithium‐ion batteries..

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..