Outputs (259)

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Dataset
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. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

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. [Dataset].

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..