All Outputs (233)

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. (2024)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. Journal of energy storage [online], 88, article number 111552. Available from: https://doi.org/10.1016/j.est.2024.111552

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles..

A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries. (2024)
Journal Article
HAI, N., WANG, S., LIU, D., FERNANDEZ, C. and GUERRERO, J.M. 2024. A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries. Journal of energy storage [online], (accepted).

Precious estimation of state-of-charge has become a more important status to the lithium-ion batteries of electronic vehicles. Basically, a three-layer genetic algorithm based on feed forward backpropagation neural network model is established. Speci... Read More about A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries..

State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. (2024)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2024. State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. Electrochimica acta [online], 487, article number 144146. Available from: https://doi.org/10.1016/j.electacta.2024.144146

The accurate state of health (SOH) estimation of lithium-ion batteries (LIBs) is crucial for the operation and maintenance of new energy electric vehicles. To address this current problem, an improved hybrid neural network model for SOH prediction ba... Read More about State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model..

A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation. (2024)
Journal Article
WANG, Y., WANG, S., FAN, Y., ZHANG, H., XIE, Y. and FERNANDEZ, C. 2024. A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-024-05475-8

Capacity estimation of lithium-ion batteries is significant to achieving the effective establishment of the prognostics and health management (PHM) system of lithium-ion batteries. A capacity estimation model based on the variable activation function... Read More about A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation..

Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating. (2024)
Journal Article
ZENG, J., WANG, S., ZHANG, M., CAO, W., FERNANDEZ, C. and GUERRERO, J.M. 2024. Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating. Journal of energy storage [online], 86(part B), article number 111283. Available from: https://doi.org/10.1016/j.est.2024.111283

The fractional-order theory has been successfully applied to battery modeling and state of charge (SOC) estimation thanks to the rapid development of smart energy storage and electric vehicles. The fractional-order model (FOM) has high nonlinearity,... Read More about Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating..

A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries. (2024)
Journal Article
LIU, D., WANG, S., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2024. A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries. Journal of energy storage [online], 86(part A), article number 111222. Available from: https://doi.org/10.1016/j.est.2024.111222

In view of the unmeasurable state parameters of electric-vehicle lithium-ion batteries, this paper investigates a novel multi-factor fuzzy membership function - adaptive extended Kalman filter (MFMF-AEKF) algorithm for the online joint estimation of... Read More about A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries..

Nitrogen-anchored boridene enables Mg-CO2 batteries with high reversibility. (2024)
Journal Article
WANG, Y., SUN, Y., WU, F., ZOU, G., GAUMET, J.-J., LI, J., FERNANDEZ, C., WANG, Y. and PENG, Q. 2024. Nitrogen-anchored boridene enables Mg−CO2 batteries with high reversibility. Journal of the American Chemical Society [online], Articles ASAP. Available from: https://doi.org/10.1021/jacs.4c00630

Nanoscale defect engineering plays a crucial role in incorporating extraordinary catalytic properties in two-dimensional materials by varying the surface groups or site interactions. Herein, we synthesized high-loaded nitrogen-doped Boridene (N-Borid... Read More about Nitrogen-anchored boridene enables Mg-CO2 batteries with high reversibility..

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], Early View. 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], Early View, 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], In Press. 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..

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], Early View. 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 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..

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..

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. 2023. 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], Online First. 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..

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..