Outputs (33)

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..

Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium‐ion battery state‐of‐charge estimation. (2021)
Journal Article
YANG, X., WANG, S., XU, W., QIAO, J., YU, C. and FERNANDEZ, C. 2022. Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium-ion battery state-of-charge estimation. International journal of circuit theory and applications [online], 50(2), pages 614-632. Available from: https://doi.org/10.1002/cta.3166

To solve the problem of the slow convergence speed for the battery state-of-charge estimation of cubature Kalman filter algorithm, the ternary lithium-ion battery is taken as the research object, and an algorithm combining the fuzzy self-adaptation a... Read More about Fuzzy adaptive singular value decomposition cubature Kalman filtering algorithm for lithium‐ion battery state‐of‐charge estimation..

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..

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 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..