Dr Carlos Fernandez's Outputs (10)

Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. (2025)
Journal Article
ZHOU, L., SUN, Y., ZOU, G., HU, H., ZHANG, Y., SU, H., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. [2025]. Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. Journal of materials science and technology [online], In Press. Available from: https://doi.org/10.1016/j.jmst.2025.01.082

Conventional manufacturing approaches, including casting, thermal deformation and annealing, have faced great challenges in achieving both exceptional strength and ductility for Mg alloys. Herein, we report an effective strategy for simultaneously en... Read More about Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys..

Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video] (2025)
Data
ZHOU, L., SUN, Y., ZOU, G., HU, H., ZHANG, Y., SU, H., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. [2025]. Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video]. Journal of materials science and technology [online], In Press. Available from: https://doi.org/10.1016/j.jmst.2025.01.082

Conventional manufacturing approaches, including casting, thermal deformation and annealing, have faced great challenges in achieving both exceptional strength and ductility for Mg alloys. Herein, we report an effective strategy for simultaneously en... Read More about Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video].

Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm. (2025)
Journal Article
HAI, N., WANG, S., CAO, W., BLAABJERG, F. and FERNANDEZ, C. 2025. Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm. Journal of energy storage [online], 119, article 116351. Available from: https://doi.org/10.1016/j.est.2025.116351

With the rapid development of new energy vehicles (EVs), cloud-based management of the lithium-ion batteries (LIBs) state of charge (SOC) has become the technological mainstream under increasing intelligence. However, SOC is highly sensitive to the m... Read More about Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm..

An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries. (2025)
Journal Article
LONG, G., LI, H., WANG, S., YU, C., GAO, H., CAO, X., ZHU, Y. and FERNANDEZ, C. 2025. An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries. Journal of the Electrochemical Society [online], 172(3), article number 030520. Available from: https://doi.org/10.1149/1945-7111/adbf4c

As an indispensable aspect of the battery management system, accurate lithium battery state of charge (SOC) estimation has attracted wide attention. This study proposes an innovative adaptive genetic algorithm online intermittent parameter identifica... Read More about An optimized multiple-weighted adaptive genetic-Kalman hybrid al-gorithm for online state of charge estimation in lithium-ion batteries..

Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. (2025)
Journal Article
WANG, S., WU, Y., ZHOU, H., ZHANG, Q., FERNANDEZ, C. and BLAABJERG, F. 2025. Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. Energy [online], 322, article number 135686. Available from: https://doi.org/10.1016/j.energy.2025.135686

With the rapid development of electric vehicles, the accuracy requirement for lithium-ion battery state feedback is increasing. However, traditional algorithms cannot achieve the desired accuracy. For this purpose, this article focuses on the ternary... Read More about Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction..

Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering. (2025)
Journal Article
WANG, S., LUO, T., HAI, N., BLAABJERG, F. and FERNANDEZ, C. 2025. Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering. Journal of energy storage [online], 115, article number 116001. Available from: https://doi.org/10.1016/j.est.2025.116001

With the continuous development and widespread application of special aircraft, accurately estimating the performance and status of battery systems has become crucial. This paper focuses on the joint estimation of State of Charge (SOC) and State of E... Read More about Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering..

Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence. (2025)
Journal Article
WANG, S., HU, B., ZHOU, L., LIU, Y., FERNANDEZ, C. and BLAABJERG, F. 2025. Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence. Journal of energy storage [online], 115, article number 115999. Available from: https://doi.org/10.1016/j.est.2025.115999

Currently, the field of new energy is booming. Batteries containing lithium-ion have become an important component of new energy vehicles. The key parameters to accurately estimate the battery state depend on the State of Charge (SOC) and the State o... Read More about Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence..

Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features. (2025)
Journal Article
ZHOU, Y., WANG, S., LI, Z., FENG, R. and FERNANDEZ, C. 2025. Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features. Journal of energy storage [online], 114(Part B), article number 115914. Available from: https://doi.org/10.1016/j.est.2025.115914

Focuses on the accurate estimation of battery pack capacity under real-world operating conditions, which is critical to improving the reliability of battery-powered systems, extending battery life, and optimizing health management strategies. This pa... Read More about Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features..

Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries. (2025)
Journal Article
ZOU, Y., WANG, S., CAO, W., HAI, N. and FERNANDEZ, C. 2025. Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries. Journal of power sources [online], 632, article number 236411. Available from: https://doi.org/10.1016/j.jpowsour.2025.236411

Accurate state of charge (SOC) estimation for lithium-ion batteries remains a critical challenge in battery management systems. Existing methods based on machine learning may cause data leakage and inaccuracy during neural network training. Here, thi... Read More about Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries..

A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification. (2025)
Journal Article
CHEN, L., WANG, S., CHEN, L., FERNANDEZ, C. and BLAABJERG, F. 2025. A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification. Journal of energy storage [online], 110, article number 115350. Available from: https://doi.org/10.1016/j.est.2025.115350

The dynamic adjustment of the fractional orders for fractional-order models can improve the accuracy of modeling lithium-ion batteries, as a bridge between the state of energy (SOE) and the terminal voltage, the maximum available energy value will de... Read More about A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification..