Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction.

Cao, Jie; Wang, Shunli; Fernandez, Carlos

doi:10.1007/s10008-023-05650-3

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..

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. [2023]. Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential. Waste and biomass valorization [online], Online First. 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..

An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
HAI, N., WANG, S., LIU, D., GAO, H. and FERNANDEZ, C. 2023. An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries. Journal of energy storage [online], 73(part D), article number 109286. Available from: https://doi.org/10.1016/j.est.2023.109286

A predictive model with high accuracy and stability of the state of charge (SOC) estimation for lithium-ion batteries plays a significant role in electric vehicles. An improved random drift particle swarm optimization-feed forward backpropagation neu... Read More about An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries..

Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries. (2023)
Journal Article
XIONG, R., WANG, S., FENG, F., YU, C., FAN, Y., CAO, W. and FERNANDEZ, C. 2023. Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries. Batteries [online], 9(10), article number 509. Available from: https://doi.org/10.3390/batteries9100509

To address the challenges of efficient state monitoring of lithium-ion batteries in electric vehicles, a co-estimation algorithm of state-of-charge (SOC) and state-of-health (SOH) is developed. The algorithm integrates techniques of adaptive recursiv... Read More about Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries..

Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference. (2023)
Journal Article
YANG, X., WANG, S., TAKYI-ANINAKWA, P., YANG, X. and FERNANDEZ, C. 2023. Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference. Journal of energy storage [online], 73(B), article number 108974. Available from: https://doi.org/10.1016/j.est.2023.108974

Strong electromagnetic interference, which has a significant impact on the performance and safety of the lithium-ion battery, usually affects the accurate state of charge (SOC). Different optimization strategies are used to estimate the model paramet... Read More about Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference..

Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries. (2023)
Journal Article
ZHU, T., WANG, S., FAN, Y., ZHOU, H., ZHOU, Y. and FERNANDEZ, C. 2023. Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries. Ionics [online], 29(12), pages 5295-5314. Available from: https://doi.org/10.1007/s11581-023-05205-6

The estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries is very important for the battery management system (BMS) and the analysis of the causes of equipment failures. Aiming at many problems such as the changes... Read More about Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries..

High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering. (2023)
Journal Article
CHEN, L., WANG, S., CHEN, L., QIAO, J. and FERNANDEZ, C. [2023]. High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering. International journal of circuit theory and application [online], Early View. Available from: https://doi.org/10.1002/cta.3788

High precision state of Charge (SOC) estimation is essential for battery management systems (BMS). In this paper, a new SOC estimation method is proposed. The dual Kalman filter algorithm is combined with the backpropagation neural network (PSO-BPNN-... Read More about High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering..

Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles. (2023)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2023. Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles. Energy technology [online], Early View. Available from: https://doi.org/10.1002/ente.202300765

The accuracy of lithium-ion battery state of charge (SOC) estimation affects the driving distance, battery life, and safety performance of electric vehicles. Herein, the polarization reaction inside the battery is modeled using a second-order fractio... Read More about Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles..

Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. (2023)
Journal Article
CAO, J., WANG, S. and FERNANDEZ, C. 2024. Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. Journal of solid state electrochemistry [online], 28(1), pages 19-32. Available from: https://doi.org/10.1007/s10008-023-05650-3

Remaining useful life (RUL) of lithium-ion batteries is an important indicator for battery health management, and accurate prediction can promote reliable battery system design, as well as safety and effectiveness of practical use. Therefore, we extr... Read More about Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction..

All Outputs (248)