All Outputs (259)

An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. (2023)
Journal Article
WU, F., WANG, S., CAO, W., LONG, T., LIANG, Y. and FERNANDEZ, C. 2023. An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. International journal of circuit theory and applications [online], 51(8), pages 3880-3896. Available from: https://doi.org/10.1002/cta.3624

State of charge and state of energy are essential performance indicators of the battery management system and the key to reflecting the remaining capacity of batteries. Aiming at the problems of low precision, long time, and strongly nonlinear system... Read More about An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries..

Crystal-defect engineering of electrode materials for energy storage and conversion. (2023)
Journal Article
WANG, J., ZHAO, X., ZOU, G., ZHANG, L., HAN, S., LI, Y., LIU, D., FERNANDEZ, C., LI, L., REN, L. and PENG, Q. 2023. Crystal-defect engineering of electrode materials for energy storage and conversion. Materials today nano [online], 22, article number 100336. Available from: https://doi.org/10.1016/j.mtnano.2023.100336

Crystal-defect engineering (CDE) in electrode materials is an emerging research area for tailoring properties, which opens up unprecedented possibilities not only in battery and catalysis, but also in controlling physical, chemical, and electronic pr... Read More about Crystal-defect engineering of electrode materials for energy storage and conversion..

An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery. (2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., ZHU, T. and FERNANDEZ, C. 2023. An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery. International journal of green energy [online], Latest Articles. Available from: https://doi.org/10.1080/15435075.2023.2196328

For real-time monitoring and safe control of electrical vehicles, it is important to accurately estimate the state of charge of lithium-ion batteries. A combined data-driven modeling approach based on Least squares support vector machine based on par... Read More about An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery..

An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H. and FERNANDEZ, C. 2023. An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. Electrochimica acta [online], 450, article 142270. Available from: https://doi.org/10.1016/j.electacta.2023.142270

Accurate assessment of SOE and SOH is a critical issue in the battery management system. This paper proposes an improved variable forgetting factor recursive least square-double extend Kalman filtering algorithm based on global mean particle swarm op... Read More about An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries..

A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2023. A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Energy [online], 273, article 127231. Available from: https://doi.org/10.1016/j.energy.2023.127231

Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper proposes a SOC estimation method for lithium-ion batteries based on a dee... Read More about A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures..

Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. Corrosion engineering, science and technology [online], 58(3), pages 281-321. Available from: https://doi.org/10.1080/1478422X.2023.2180195

Detecting and monitoring of corrosion is one of the major challenges in insulated metallic structures, or structures with one or more than one interface. This review paper aims to consolidate scattered literature on laboratory system-based corrosion... Read More about Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities..

A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling. (2023)
Journal Article
CHEN, L., WANG, S., JIANG, H. and FERNANDEZ, C. 2023. A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling. Journal of energy storage [online], 62, article 106930. Available from: https://doi.org/10.1016/j.est.2023.106930

Although accurate SOE estimation can enhance the reliability of residual energy prediction, the environmental temperature, parameter coupling, and multiple state constraints increase the difficulty of obtaining SOE accurately. A combined estimation m... Read More about A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling..

Design and achievement of superfilling electroless silver deposition for micrometer trenches. (2023)
Journal Article
WANG, X., MA, W. and FERNANDEZ, C. 2023. Design and achievement of superfilling electroless silver deposition for micrometer trenches. Surface engineering and applied electrochemistry [online], 59(1), pages 15-19. Available from: https://doi.org/10.3103/S1068375523010143

Electroless silver bottom-up filling has been designed and investigated by linear sweep voltammetry. It was found that the addition of polyethylene glycol 4000 (PEG 4000) had a good inhibitory effect on the electrode reaction. Experiments showed that... Read More about Design and achievement of superfilling electroless silver deposition for micrometer trenches..

Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. (2023)
Journal Article
XIE, Y., WANG, S., ZHANG, G., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2023. Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. Applied energy [online], 336, article 120866. Available from: https://doi.org/10.1016/j.apenergy.2023.120866

With the demand for high-endurance lithium-ion batteries in new energy vehicles, communication and portable devices, high energy density lithium-ion batteries have become the main research direction of the battery industry. State of Charge (SoC), as... Read More about Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries..

Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency. (2023)
Journal Article
SHI, H., WANG, S., LIANG, J., TAKYI-ANINAKWA, P., YANG, X., FERNANDEZ, C. and WANG, L. 2023. Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency. Journal of energy chemistry [online], 82, pages 521-536. Available from: https://doi.org/10.1016/j.jechem.2023.02.022

The electrification of vehicles puts forward higher requirements for the power management efficiency of integrated battery management systems as the primary or sole energy supply. In this paper, an efficient adaptive multi-time scale identification s... Read More about Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency..

On the bramble way to Mg metal anodes in secondary Mg ion batteries. (2023)
Journal Article
ZOU, G., FENG, J., ZHAO, X., WANG, J., WANG, Y., YANG, W., WEI, M., WANG, Y., LI, L., REN, L., FERNANDEZ, C. and PENG, Q. 2023. On the bramble way to Mg metal anodes in secondary Mg ion batteries. Journal of materials science and technology [online], 150, pages 175-189. Available from: https://doi.org/10.1016/j.jmst.2022.11.038

As a prospective alternative to lithium-ion batteries, rechargeable magnesium metal batteries (RMBs) have many unparalleled advantages, including direct use of Mg metal as the electrode; large nature abundance; intrinsically safe merits; high theoret... Read More about On the bramble way to Mg metal anodes in secondary Mg ion batteries..

Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability. (2023)
Journal Article
FENG, J., GE, B., WANG, J., ZHANG, L., LIU, D., ZOU, G., TSE, J.S., FERNANDEZ, C., YAN, X. and PENG, Q. 2023. Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability. Journal of power sources [online], 560, article 232697. Available from: https://doi.org/10.1016/j.jpowsour.2023.232697

Lithium dendrite growth on the anode during cycling leads to poor stability and severe safety issue, hampering long-term cycle for high-energy batteries. Herein, we firstly found that dendrite-free Li can be deposited layer-by-layer on the surface of... Read More about Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability..

Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability. [Dataset] (2023)
Dataset
FENG, J., GE, B., WANG, J., ZHANG, L., LIU, D., ZOU, G., TSE, J.S., FERNANDEZ, C., YAN, X. and PENG, Q. 2023. Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability. [Dataset]. Journal of power sources [online], 560, article 232697. Available from: https://www.sciencedirect.com/science/article/pii/S0378775323000721#appsec1

As the most promising candidate for next-generation batteries, Li metal batteries (such as Li-air and Li–S) have received considerable attention for their ultrahigh theoretical capacity (3860 mAh g−1), the lowest electrochemical potential (−3.040 V v... Read More about Wave-layered dendrite-free lithium deposition with unprecedented long-term cyclability. [Dataset].

Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. (2022)
Journal Article
XIAO, W., WANG, S., YU, C., YANG, X., QIU, J. and FERNANDEZ, C. 2022. Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. Journal of The Electrochemical Society [online], 169(12), 120534. Available from: https://doi.org/10.1149/1945-7111/acaa5b

State of Charge (SOC) estimation is the focus of battery management systems, and it is critical to accurately estimate battery SOC in complex operating environments. To weaken the impact of unreasonable forgetting factor values on parameter estimatio... Read More about Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter..

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. (2022)
Journal Article
XIONG, R., WANG, S., YU, C., FERNANDEZ, C., XIAO, W. and JIA, J. 2023. A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. Journal of energy storage [online], 59, article 106484. Available from: https://doi.org/10.1016/j.est.2022.106484

With the rapid development of electric energy storage, more and more attention has been paid to the accurate construction of energy storage lithium-ion battery (LIB) model and the efficient monitoring of battery states. Based on this requirement, a s... Read More about A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation..

An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. (2022)
Journal Article
HAO, X., WANG, S., FAN, Y., XIE, Y. and FERNANDEZ, C. 2023. An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. Journal of energy storage [online], 59, article 106478. Available from: https://doi.org/10.1016/j.est.2022.106478

As an indispensable part of the battery management system, accurately predicting the estimation of the state of charge (SOC) has attracted more attention, which can improve the efficiency of battery use and ensure its safety performance. Taking the t... Read More about An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation..

Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares. (2022)
Conference Proceeding
LIANG, Y., WANG, S., FAN, Y., YANG, X., XIE, Y. and FERNANDEZ, C. 2022. Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares. In Proceedings of the 4th Smart power and internet energy systems international conference 2022 (SPIES 2022): towards a net-zero carbon future, 9-12 December 2022, Beijing, China. Piscataway: IEEE [online], pages 1923-1927. Available from https://doi.org/10.1109/spies55999.2022.10082478

This work aims to improve the accuracy of state of charge estimation for lithium-ion battery, as well as to accurately estimate state of health. This study presents a piecewise forgetting factor recursive least squares method based on integral separa... Read More about Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares..

An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
GAO, H., WANG, S., QIAO, J., YANG, X. and FERNANDEZ, C. 2022. An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. Journal of The Electrochemical Society [online], 169(12), article 120502. Available from: https://doi.org/10.1149/1945-7111/aca6a2

Establishing a capacity degradation model accurately and predicting the remaining useful life of lithium-ion batteries scientifically are of great significance for ensuring safety and reliability throughout the batteries' whole life cycle. Aiming at... Read More about An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries..

A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater. (2022)
Journal Article
GOPAL, S., SOMANATHAN, A., JEYAKUMAR, R. and FERNANDEZ, C. 2022. A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater. Desalination and water treatment [online], 277, pages 120-135. Available from: https://doi.org/10.5004/dwt.2022.29039

The aim of this study is to evaluate the performance of a novel laboratory scale electrochemical peroxidation (ECP) reactor using iron (Fe) electrodes (anode and cathode) for treatment of tannery wastewater. In order to minimize operating cost, the e... Read More about A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater..

A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. (2022)
Journal Article
QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy [online], 263(Part E), article 126164. Available from: https://doi.org/10.1016/j.energy.2022.126164

In this research, a novel dynamic migration model is proposed, which can better describe the dynamic characteristics of the lithium-ion batteries under different aging states by adjusting the battery parameters in real-time. A novel chaotic firefly -... Read More about A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance..