Dr Carlos Fernandez's Outputs (316)

Critical review on improved electrochemical impedance spectroscopy-cuckoo search-elman neural network modeling methods for whole-life-cycle health state estimation of lithium-ion battery energy storage systems. (2024)
Journal Article
XIONG, R., WANG, S., TAKYI-ANINAKWA, P., JIN, S., FERNANDEZ, C., HUANG, Q., HU, W. and ZHAN, W. 2024. Critical review on improved electrochemical impedance spectroscopy-cuckoo search-Elman neural network modeling methods for whole-life-cycle health state estimation of lithium-ion battery energy storage systems. Protection and control of modern power systems [online], 9(2), pages 75-100. Available from: https://doi.org/10.23919/PCMP.2023.000234

Efficient and accurate health state estimation is crucial for lithium-ion battery (LIB) performance monitoring and economic evaluation. Effectively estimating the health state of LIBs online is the key but is also the most difficult task for energy s... Read More about Critical review on improved electrochemical impedance spectroscopy-cuckoo search-elman neural network modeling methods for whole-life-cycle health state estimation of lithium-ion battery energy storage systems..

Regulating d-orbital hybridization of subgroup-IVB single atoms for efficient oxygen reduction reaction. (2024)
Journal Article
ZHAO, X., SUN, Y., WANG, J., NIE, A., ZOU, G., REN, L., WANG, J., WANG, Y., FERNANDEZ, C. and PENG, Q. 2024. Regulating d-orbital hybridization of subgroup-IVB single atoms for efficient oxygen reduction reaction. Advanced materials [online], 36(21), article number 2312117. Available from: https://doi.org/10.1002/adma.202312117

Highly active single-atom electrocatalysts for the oxygen reduction reaction are crucial for improving the energy conversion efficiency, but they suffer from a limited choice of metal centers and unsatisfactory stabilities. Here, this work reports th... Read More about Regulating d-orbital hybridization of subgroup-IVB single atoms for efficient oxygen reduction reaction..

Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction. (2024)
Journal Article
QI, C., WANG, S., CAO, W., WANG, Y., LIU, D. and FERNANDEZ, C. 2024. Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction. Journal of energy storage [online], 84(part A), article number 110726. Available from: https://doi.org/10.1016/j.est.2024.110726

The peak power and state of charge of lithium-ion batteries are closely related to the safety of electric vehicles. Accurate peak power and state of charge prediction can extend battery life while ensuring safe driving. In this paper, a modeling stra... Read More about Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction..

N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries. (2024)
Journal Article
ZHAO, X., WU, F., HU, H., LI, J., SUN, Y., WANG, J., ZOU, G., CHEN, X., WANG, Y., FERNANDEZ, C. and PENG, Q. 2024. N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries. Small [online], 20(28), article number 2311268. Available from: https://doi.org/10.1002/smll.202311268

The development of economical and efficient oxygen reduction reaction (ORR) catalysts is crucial to accelerate the widespread application rhythm of aqueous rechargeable zinc-air batteries (ZABs). Here, a strategy is reported that the modification of... Read More about N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries..

Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. (2024)
Journal Article
XIONG, R., WANG, S., HUANG, Q., YU, C., FERNANDEZ, C., XIAO, W., JIA, J. and GUERRERO, J.M. 2024. Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. Energy [online], 292, article number 130594. Available from: https://doi.org/10.1016/j.energy.2024.130594

At present, the accurate establishment of the battery model and the effective state of health (SOH) estimation under actual energy storage conditions have become the main problems in new energy storage stations. Therefore, a SOH estimation method bas... Read More about Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries..

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. (2024)
Journal Article
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. Journal of magnesium and alloys [online], 12(12), pages 4953-4965. Available from: https://doi.org/10.1016/j.jma.2024.01.015

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin..

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset] (2024)
Data
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset]. Journal of magnesium and alloys [online], 12(12), pages 4953-4965. Available from: http://tinyurl.com/bdh3kb39

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset].

An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries. (2024)
Journal Article
WU, F., WANG, S., LIU, D., CAO, W., FERNANDEZ, C. and HUANG, Q. 2024. An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries. Journal of energy storage [online], 82, article 110574. Available from: https://doi.org/10.1016/j.est.2024.110574

State of charge (SOC) and state of energy (SOE) are the key factors that reflect the safe and range driving of new energy vehicles. This paper proposes an optimized convolutional neural network-bidirectional gate recurrent unit (CNN-BiGRU) and an imp... Read More about An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries..

A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction. (2024)
Journal Article
CHEN, Y., DUAN, W., HE, Y., WANG, S. and FERNANDEZ, C. 2024. A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction. Green energy and intelligent transportation [online], 3(2), article number 100160. Available from: https://doi.org/10.1016/j.geits.2024.100160

Battery life prediction is of great significance to the safe operation, and the maintenance costs are reduced. This paper proposed a hybrid framework considering feature extraction to solve the problem of data backward, large sample data and uneven d... Read More about A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction..

State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization. (2024)
Journal Article
LIANG, Y., WANG, S., FAN, Y., HAO, X., LIU, D. and FERNANDEZ, C. 2024. State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization. Journal of the Electrochemical Society [online], 171(1), article number 010508. Available from: https://doi.org/10.1149/1945-7111/ad18e1

Accurate State of Health (SOH) estimation of battery systems is critical to vehicle operation safety. However, it's difficult to guarantee the performance of a single model due to the unstable quality of raw data obtained from lithium-ion battery agi... Read More about State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization..

Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. (2024)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C., SUJATHA, D., PANDA, S.K. and FAISAL, N.H. 2024. Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. Engineering reports [online], 6(3), article ID e12836. Available from: https://doi.org/10.1002/eng2.12836

This review aims to present a critical overview of indium tin oxide (ITO) thin film preparation methods, structure–property relationship and its application in humidity sensing. A range of passive and active humidity sensors with thin films (based on... Read More about Indium tin oxide thin film preparation and property relationship for humidity sensing: a review..

An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
WU, F., WANG, S., LIU, D., CAO, W. and FERNANDEZ, C. 2023. An improved bidirectional gate recurrent unit combined with smoothing filter algorithm for state of energy estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 363-368. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349332

The accurate estimation of state of energy (SOE) is the key to the rational energy distribution of lithium-ion battery based energy storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying b... Read More about An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries..

An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
ZHU, C., WANG, S., YU, C., HAI, N., FERNANDEZ, C. and SUN, Z. 2023. An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 358-362. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349263

State of Charge (SOC) is one of the key indicators for evaluating the state of electric vehicles. In order to cope with the uncertainty of random noise in nonlinear systems, an improved robust function correction-adaptive extended Kalman filtering (R... Read More about An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries..

An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
WANG, S., HAI, N., YANG, J. and FERNANDEZ, C. 2023. An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 369-372. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349297

The state of charge estimation with high precision plays an important role in the usage of lithium-ion batteries in electronic vehicles. An improved genetic-backpropagation neural network (GA-BPNN) is proposed to predict the state of charge with high... Read More about An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries..

An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries. (2023)
Journal Article
WANG, S., WANG, C., TAKYI-ANINAKWA, P., JIN, S., FERNANDEZ, C. and HUANG, Q. 2024. An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries. Journal of energy storage [online], 80, article number 110222. Available from: https://doi.org/10.1016/j.est.2023.110222

The State estimation and determination of time-varying model parameters are crucial for ensuring the safe management of lithium-ion batteries. This paper designs a limited memory recursive least square algorithm to improve the accuracy of online para... Read More about An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries..

An improved adaptive weights correction-particle swarm optimization-unscented particle filter method for high-precision online state of charge estimation of lithium-ion batteries. (2023)
Journal Article
LI, Z., WANG, S., YU, C., QI, C., SHEN, X. and FERNANDEZ, C. 2024. An improved adaptive weights correction-particle swarm optimization-unscented particle filter method for high-precision online state of charge estimation of lithium-ion batteries. Ionics [online], 30(1), pages 311-334. Available from: https://doi.org/10.1007/s11581-023-05272-9

In the battery management system (BMS), the state of charge (SOC) of lithium-ion batteries is an indispensable part, and the accuracy of SOC estimation has attracted wide attention. Accurate SOC estimation can improve the efficiency of battery use wh... Read More about An improved adaptive weights correction-particle swarm optimization-unscented particle filter method for high-precision online state of charge estimation of lithium-ion batteries..

A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range. (2023)
Journal Article
CHEN, L, WANG, S., JIANG, H. and FERNANDEZ, C. 2024. A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range. Applied energy [online], 355, article number 122225. Available from: https://doi.org/10.1016/j.apenergy.2023.122225

Lithium-ion batteries are one of the best choices as energy storage devices for self-powered nodes in wireless sensor networks (WSN) due to their advantages of no memory effect, high energy density, long cycle life, and being pollution-free after bei... Read More about A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range..

Improved electric-thermal-aging multi-physics domain coupling modeling and identification decoupling of complex kinetic processes based on timescale quantification in lithium-ion batteries. (2023)
Journal Article
SHI, H., WANG, S., HUANG, Q., FERNANDEZ, C., LIANG, J., ZHANG, M., QI, C. and WANG, L. 2024. Improved electric-thermal-aging multi-physics domain coupling modeling and identification decoupling of complex kinetic processes based on timescale quantification in lithium-ion batteries. Applied energy [online], 353, part B, article 122174. Available from: https://doi.org/10.1016/j.apenergy.2023.122174

Unraveling the kinetic behavior inside the battery is essential to break through the limitations of mechanistic studies and to optimize the control of the integrated management system. Given this fact that the battery system is multi-domain coupled a... Read More about Improved electric-thermal-aging multi-physics domain coupling modeling and identification decoupling of complex kinetic processes based on timescale quantification in lithium-ion batteries..

Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential. (2023)
Journal Article
BLAIKIE, L., WELGAMAGE DON, A., FRANZEN, X., FERNANDEZ, C., FAISAL, N. and KONG THOO LIN, P. 2024. Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential. Waste and biomass valorization [online], 15(4), pages 2333-2343. Available from: https://doi.org/10.1007/s12649-023-02292-4

Waste by-products such as pot ale are abundantly produced during the whisky distillation process and are conventionally used as livestock feed, however a significant proportion continues to require land and sea disposal. Here, the novel potential of... Read More about Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential..

A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. (2023)
Journal Article
JIA, X., WANG, S., CAO, J., QIAO, J., YANG, X., LI, Y. and FERNANDEZ, C. 2023. A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. Journal of energy storage [online], 74(part A), article number 109291. Available from: https://doi.org/10.1016/j.est.2023.109291

Power lithium-ion batteries are widely used in various fields, the battery management system (BMS) is the main object of battery energy management and safety monitoring, so the accurate collaboration of state of charge (SoC) and state of energy (SoE)... Read More about A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries..