Skip to main content

Research Repository

Advanced Search

All Outputs (81)

An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., LI, H., YANG, X. and FERNANDEZ, C. 2023. An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. Journal of energy storage [online], 70, article 108098. Available from: https://doi.org/10.1016/j.est.2023.108098

Safe and reliable operations of lithium-ion batteries in electric vehicles (EVs), etc., highly depend on the accurate state of charge (SOC) estimated by the battery management system (BMS). However, due to the battery's nonlinear operating conditions... Read More about An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries..

State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. (2023)
Journal Article
LIU, D., WANG, S., FAN, Y., LIANG, Y., FERNANDEZ, C., STROE, D.I. 2023. State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. Journal of energy storage [online], 70, article 108040. Available from: https://doi.org/10.1016/j.est.2023.108040

As the main energy storage component of electric vehicles (EV), lithium-ion battery state estimation is an essential part of the battery management system (BMS). State of Energy (SOE) is one of the important state parameters, and its accurate estimat... Read More about State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature..

High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. (2023)
Journal Article
YANG, J., WANG, S., CHEN, L., QIAO, J., FERNANDEZ, C. and GUERRERO, J.M. 2023. High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(6), article 060527. Available from: https://doi.org/10.1149/1945-7111/acd815

Accurate state of charge (SOC) estimation is an important basis for battery energy management and the applications of lithium-ion batteries. In this paper, an improved compression factor particle swarm optimization-forgetting factor recursive least s... Read More about High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering..

An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. (2023)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., LIU, K. and FERNANDEZ, C. 2023. An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of energy storage [online], 70, article 108038. Available from: https://doi.org/10.1016/j.est.2023.108038

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an impr... Read More about An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics..

The ferroelectric nematic phase: on the role of lateral alkyloxy chains. (2023)
Journal Article
CRUICKSHANK, E., PEARSON, A., BROWN, S., STOREY, J.M.D., IMRIE, C.T. and WALKER, R. 2023. The ferroelectric nematic phase: on the role of lateral alkyloxy chains. Liquid crystals [online], 50(11-12), pages 1960-1967. Available from: https://doi.org/10.1080/02678292.2023.2221651

The synthesis and characterisation of the 4-({[4’-nitro-(1,1'-biphenyl)−4-yl]oxy}carbonyl)phenyl 2-alkoxy-4-methoxybenzoates are reported: the 1O(m-On)PEPEBNO2 series. These materials include an additional phenyl ring compared to the extensively stud... Read More about The ferroelectric nematic phase: on the role of lateral alkyloxy chains..

Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability. (2023)
Journal Article
MITCHELL, J.L., LITTLE, G., BYE, A.P. et al. 2023. Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability. Research and practice in thrombosis and haemostasis [online], 7(5), article 100200. Available from: https://doi.org/10.1016/j.rpth.2023.100200

Factor XIII (FXIII) is an important proenzyme in the hemostatic system. The plasma-derived enzyme activated FXIII cross-links fibrin fibers within thrombi to increase their mechanical strength and cross-links fibrin to fibrinolytic inhibitors, specif... Read More about Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability..

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. (2023)
Journal Article
ZHANG, M., WANG, S., XIE, Y., YANG, X., HAO, X. and FERNANDEZ, C. 2023. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. Ionics [online], 29(9), pages 3597-3607. Available from: https://doi.org/10.1007/s11581-023-05072-1

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of s... Read More about Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries..

Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method. (2023)
Journal Article
SOLIMAN, A.B., TALKHAN, H.A., IBRAHIM, M.I.M. and SHALASH, A.A. 2023. Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method. Journal of clinical and diagnostic research [online] 17(6), pages IC01-IC05. Available from: https://doi.org/10.7860/jcdr/2023/62030.18022

Middle East Respiratory Syndrome (MERS) is a viral respiratory disease caused by a coronavirus variant in the Arabian Peninsula. There is a lack of information regarding awareness and practices of community pharmacists in Qatar for this contagious di... Read More about Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method..

A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., XIAO, Y. and FERNANDEZ, C. 2023. A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Journal of energy storage [online], 68, article 107728. Available from: https://doi.org/10.1016/j.est.2023.107728

Due to the high nonlinearities and unstable working conditions, accurately estimating the state of charge (SOC) by the battery management system (BMS) is a major challenge in ensuring the safety and reliability of lithium-ion batteries in electric ve... Read More about A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries..

High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. (2023)
Journal Article
FENG, R., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(5), article 050539. Available from: https://doi.org/10.1149/1945-7111/acd303

It is significant to improve the accuracy of estimating the state of charge (SOC) of lithium-ion batteries under different working conditions on urban roads. In this study, an improved second-order polarized equivalent circuit (SO-PEC) modeling metho... Read More about High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering..

Ferroelectric nematic-isotropic liquid critical end point. (2023)
Journal Article
SZYDLOWSKA, J., MAJEWSKA, P., VAUPOTIČ, N., RYBAK, P., Corrie T. IMRIE, Rebecca WALKER, R., CRUICKSHANK, E., STOREY, J.M.D., DAMIAN, P. and GORECKA, E. 2023. Ferroelectric nematic-isotropic liquid critical end point. Physical review letters [online], 130(21), article 216802. Available from: https://doi.org/10.1103/PhysRevLett.130.216802

A critical end point above which an isotropic phase continuously evolves into a polar (ferroelectric) nematic phase with an increasing electric field is found in a ferroelectric nematic liquid crystalline material. The critical end point is approxima... Read More about Ferroelectric nematic-isotropic liquid critical end point..

Bio-based sustainable polymers and materials: from processing to biodegradation. (2023)
Journal Article
OKOLIE, O., KUMAR, A., EDWARDS, C., LAWTON, L.A., OKE, A., MCDONALD, S., THAKUR, V.K. and NJUGUNA, J. 2023. Bio-based sustainable polymers and materials: from processing to biodegradation. Journal of composites science [online], 7(6), article 213. Available from: https://doi.org/10.3390/jcs7060213

In the life cycle of a material, there will be either chemical or physical change due to varying environmental factors such as biological activity, light, heat, moisture, and chemical conditions. This process leads to polymer property change as perta... Read More about Bio-based sustainable polymers and materials: from processing to biodegradation..

An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
LIANG, Y., WANG, S., FAN, Y., TAKYI-ANINAKWA, P., XIE, Y. and FERNANDEZ, C. 2023. An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. Journal of energy storage [online], 68, article 107629. Available from: https://doi.org/10.1016/j.est.2023.107629

Accurate state-of-charge (SOC) estimation is essential for fully utilizing the battery performance of electric vehicles. Considering the demand for algorithms with the advantages of simplicity, fewer calculations, good stability, and high accuracy in... Read More about An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries..

Antimicrobial stewardship programme implementation in the UAE: perspectives of key stakeholders using consolidated framework for implementation research. (2023)
Journal Article
HASHAD, N., STEWART, D., PERUMAL, D., ABDULRAZZAQ, N. and TONNA, A.P. [2023]. Antimicrobial stewardship programme implementation in the UAE: perspectives of key stakeholders using consolidated framework for implementation research. Journal of hospital infection [online], 137, pages 69-76. Available from: https://doi.org/10.1016/j.jhin.2023.05.003

While a plethora of studies report antimicrobial stewardship programme (ASP) implementation, these are limited by a lack of theoretical underpinning. This may lead to missing key factors that are likely to influence the successful or unsuccessful imp... Read More about Antimicrobial stewardship programme implementation in the UAE: perspectives of key stakeholders using consolidated framework for implementation research..

In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability. (2023)
Journal Article
MELO ROCHA, M.A., CLEMENTE, A., AMORIM SANTOS, A., DA SILVA MELO, J., PESTANA, C.J., LAWTON, L.A. and CAPELO-NETO, J. 2023. In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability. Chemosphere [online], 333, article 138895. Available from: https://doi.org/10.1016/j.chemosphere.2023.138895

The evaluation of water quality improvement brought about by in situ treatment of eutrophic water bodies, especially those used for human supply, is a challenging task since each water system responds differently. To overcome this challenge, we appli... Read More about In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability..

Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. (2023)
Journal Article
XIE, Y., WANG, S., ZHANG, C., FAN, Y., FERNANDEZ, C. and GUERRERO, J.M. 2023. Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. Journal of energy storage [online], 67, article 107597. Available from: https://doi.org/10.1016/j.est.2023.107597

Electric vehicles, as a new green mode of transportation, have put forward higher demand indicators for accurate modeling and efficient parameter identification strategies for lithium-ion batteries. In this paper, a lumped electrical characteristic m... Read More about Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect..

A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H., FERNANDEZ, C. and WANG, Y. 2023. A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. Journal of energy storage [online], 67, article number 107576. Available from: https://doi.org/10.1016/j.est.2023.107576

The estimation of State of Charge (SoC) and State of Power (SoP) of lithium-ion batteries is an important part of battery management system. For the purpose of obtaining high-precision SoC and SoP estimation results, this paper proposes a novel M-1 s... Read More about A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries..

Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., XIAO, Y. and FERNANDEZ, C. 2023. Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Journal of energy storage [online], 66, article number 107495. Available from: https://doi.org/10.1016/j.est.2023.107495

Due to their high energy density and minimal emissions, lithium-ion batteries are frequently employed in electric vehicles (EVs). Accurate estimation of the micro-parameters, state of charge (SOC), and state of health (SOH) are a few primary monitori... Read More about Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties..

An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. (2023)
Journal Article
WU, F., WANG, S., CAO, W., LONG, T., LIANG, Y. and FERNANDEZ, C. 2023. An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. International journal of circuit theory and applications [online], 51(8), pages 3880-3896. Available from: https://doi.org/10.1002/cta.3624

State of charge and state of energy are essential performance indicators of the battery management system and the key to reflecting the remaining capacity of batteries. Aiming at the problems of low precision, long time, and strongly nonlinear system... Read More about An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries..